test data add

data/0.json

@@ -0,0 +1 @@
+{"head_branch": "master", "contributor": "ftshijt", "sha_fail": "4925a8d5c47620270aba3ee5c39398abf47fb470", "sha_success": "23cb59f410a6c3caad9012f9c75a1986a21c3f1c", "language": "Python", "repo_owner": "s3prl", "repo_name": "s3prl", "workflow_name": "CI", "workflow_filename": "ci.yml", "workflow_path": ".github/workflows/ci.yml", "workflow": "name: CI\n\non:\n  # Trigger the workflow on push to main or any pull request\n  push:\n    branches:\n      - main\n  pull_request:\n\njobs:\n  build-and-test:\n\n    strategy:\n      matrix:\n        os: [ubuntu-20.04]\n        python-version: [3.8]\n        torchaudio-version: [0.8.1, 0.9.1, 0.10.2, 0.11.0, 0.12.1]\n        include:\n          - os: ubuntu-20.04\n            python-version: 3.7\n            torchaudio-version: 0.11.0\n          - os: ubuntu-20.04\n            python-version: 3.9\n            torchaudio-version: 0.8.1\n          - os: ubuntu-20.04\n            python-version: \"3.10\"  # if not quoted, will be interpreted as 3.1\n            torchaudio-version: 0.11.0\n\n    runs-on: ${{ matrix.os }}\n\n    steps:\n    - uses: actions/checkout@v2\n\n    - name: Set up Python ${{ matrix.python-version }}\n      uses: actions/setup-python@v2\n      with:\n        python-version: ${{ matrix.python-version }}\n\n    - name: Install Linux dependencies\n      run: |\n        sudo apt-get update\n        sudo apt-get install -y libsndfile1-dev sox git git-lfs\n\n    - name: Upgrade pip and wheel\n      run: pip3 install --upgrade pip wheel\n\n    - name: Install dependencies for tests\n      run: pip3 install -r requirements/dev.txt\n\n    - name: Check coding style by ci/format.py\n      run: |\n        ./ci/format.py --check\n\n    # This can be very helpful for debugging\n    # The action can create a SSH server for you to connect. After you\n    # log into the machine hosted by GitHub, it becomes easy to debug\n    # why the CI fails on a specific machine.\n\n    # - name: Setup upterm session\n    #   uses: lhotari/action-upterm@v1\n\n    - name: Run tox for common upstream\n      run: |\n        tox -e common_upstream-audio${{ matrix.torchaudio-version }}\n\n    # Not all upstreams will be tested on CI since this will take too much time\n    # To test all upstreams, run tox locally with '-e all_upstream'\n\n    # - name: Run tox for all other functionalities\n    #   run: |\n    #     tox -e all_others-deps_all-audio${{ matrix.torchaudio-version }}\n", "logs": "common_upstream-audio0.11.0 create: /home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0\ncommon_upstream-audio0.11.0 inst: /home/runner/work/s3prl/s3prl/.tox/.tmp/package/1/s3prl-0.4.10.zip\ncommon_upstream-audio0.11.0 installed: antlr4-python3-runtime==4.9.3,certifi==2023.7.22,charset-normalizer==3.3.0,filelock==3.12.2,fsspec==2023.1.0,huggingface-hub==0.16.4,idna==3.4,importlib-metadata==6.7.0,numpy==1.21.6,nvidia-cublas-cu11==11.10.3.66,nvidia-cuda-nvrtc-cu11==11.7.99,nvidia-cuda-runtime-cu11==11.7.99,nvidia-cudnn-cu11==8.5.0.96,omegaconf==2.3.0,packaging==23.2,protobuf==3.20.3,PyYAML==6.0.1,regex==2023.10.3,requests==2.31.0,s3prl @ file:///home/runner/work/s3prl/s3prl/.tox/.tmp/package/1/s3prl-0.4.10.zip#sha256=e8442f550b5e81b813e520dc03ed1efec5e786eb46d6d10017560df6ccdfcc5d,safetensors==0.3.3,tokenizers==0.13.3,torch==1.13.1,torchaudio==0.13.1,tqdm==4.66.1,transformers==4.30.2,typing_extensions==4.7.1,urllib3==2.0.6,zipp==3.15.0\ncommon_upstream-audio0.11.0 run-test-pre: PYTHONHASHSEED='1167914577'\ncommon_upstream-audio0.11.0 run-test: commands[0] | /home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0/bin/python -m pip install torchaudio==0.11.0\nCollecting torchaudio==0.11.0\n  Downloading torchaudio-0.11.0-cp37-cp37m-manylinux1_x86_64.whl (2.9 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 2.9/2.9 MB 45.2 MB/s eta 0:00:00\nCollecting torch==1.11.0 (from torchaudio==0.11.0)\n  Downloading torch-1.11.0-cp37-cp37m-manylinux1_x86_64.whl (750.6 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 750.6/750.6 MB 1.2 MB/s eta 0:00:00\nRequirement already satisfied: typing-extensions in /home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0/lib/python3.7/site-packages (from torch==1.11.0->torchaudio==0.11.0) (4.7.1)\nInstalling collected packages: torch, torchaudio\n  Attempting uninstall: torch\n    Found existing installation: torch 1.13.1\n    Uninstalling torch-1.13.1:\n      Successfully uninstalled torch-1.13.1\n  Attempting uninstall: torchaudio\n    Found existing installation: torchaudio 0.13.1\n    Uninstalling torchaudio-0.13.1:\n      Successfully uninstalled torchaudio-0.13.1\nSuccessfully installed torch-1.11.0 torchaudio-0.11.0\n\n[notice] A new release of pip is available: 23.1 -> 23.2.1\n[notice] To update, run: pip install --upgrade pip\ncommon_upstream-audio0.11.0 run-test: commands[1] | /home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0/bin/python -c 'import s3prl; from s3prl.nn import S3PRLUpstream;'\nTraceback (most recent call last):\n  File \"/home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0/lib/python3.7/site-packages/s3prl/upstream/espnet_hubert/expert.py\", line 12, in <module>\n    from espnet2.tasks.hubert import HubertTask\nModuleNotFoundError: No module named 'espnet2'\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"/home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0/lib/python3.7/site-packages/s3prl/nn/__init__.py\", line 12, in <module>\n    from .upstream import Featurizer, S3PRLUpstream\n  File \"/home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0/lib/python3.7/site-packages/s3prl/nn/upstream.py\", line 14, in <module>\n    from s3prl import hub\n  File \"/home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0/lib/python3.7/site-packages/s3prl/hub.py\", line 14, in <module>\n    from s3prl.upstream.espnet_hubert.hubconf import *\n  File \"/home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0/lib/python3.7/site-packages/s3prl/upstream/espnet_hubert/hubconf.py\", line 3, in <module>\n    from .expert import UpstreamExpert as _UpstreamExpert\n  File \"/home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0/lib/python3.7/site-packages/s3prl/upstream/espnet_hubert/expert.py\", line 15, in <module>\n    logger.warnning(\"ESPnet is not installed, cannot use espnet_hubert upstream\")\nAttributeError: 'Logger' object has no attribute 'warnning'\nERROR: InvocationError for command /home/runner/work/s3prl/s3prl/.tox/common_upstream-audio0.11.0/bin/python -c 'import s3prl; from s3prl.nn import S3PRLUpstream;' (exited with code 1)\n___________________________________ summary ____________________________________\nERROR:   common_upstream-audio0.11.0: commands failed\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/s3prl/upstream/espnet_hubert/expert.py b/s3prl/upstream/espnet_hubert/expert.py\nindex b76fcc48..27694982 100644\n--- a/s3prl/upstream/espnet_hubert/expert.py\n+++ b/s3prl/upstream/espnet_hubert/expert.py\n@@ -12,7 +12,7 @@ try:\n     from espnet2.tasks.hubert import HubertTask\n except ModuleNotFoundError:\n     HuBERTTask = None\n-    logger.warnning(\"ESPnet is not installed, cannot use espnet_hubert upstream\")\n+    logger.warning(\"ESPnet is not installed, cannot use espnet_hubert upstream\")\n \n \n class UpstreamExpert(torch.nn.Module):\n"}

data/10.json

@@ -0,0 +1 @@
+{"head_branch": "master", "contributor": "keras-team", "sha_fail": "d043c7c56796b9f37e7daa74aeebace78206ae78", "sha_success": "879a1942e5aa364cf31e8d65cdf4e3720209b03f", "language": "Python", "repo_owner": "keras-team", "repo_name": "keras", "workflow_name": "Tests", "workflow_filename": "actions.yml", "workflow_path": ".github/workflows/actions.yml", "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_BACKEND: ${{ 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 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: ${{ steps.filter.outputs.applications == 'true' }}\n        uses: codecov/codecov-action@v3\n        with:\n          env_vars: PYTHON,KERAS_BACKEND\n          flags: keras.applications,keras.applications-${{ matrix.backend }}\n          files: apps-coverage.xml\n          fail_ci_if_error: true\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_BACKEND\n          flags: keras,keras-${{ matrix.backend }}\n          files: core-coverage.xml\n          fail_ci_if_error: true\n\n  format:\n    name: Check the code format\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions/checkout@v3\n      - name: Set up Python 3.9\n        uses: actions/setup-python@v4\n        with:\n          python-version: '3.9'\n      - name: Get pip cache dir\n        id: pip-cache\n        run: |\n          python -m pip install --upgrade pip setuptools\n          echo \"dir=$(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 install -e \".\" --progress-bar off --upgrade\n      - name: Lint\n        run: bash shell/lint.sh\n", "logs": "keras/testing/test_utils.py                                     11      1      4      1    87%\nkeras/trainers/__init__.py                                       0      0      0      0   100%\nkeras/trainers/compile_utils.py                                356     54    281     39    81%\nkeras/trainers/data_adapters/__init__.py                         0      0      0      0   100%\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          41      3      8      3    88%\nkeras/trainers/data_adapters/py_dataset_adapter.py             252     49     80     17    76%\nkeras/trainers/data_adapters/tf_dataset_adapter.py              47      0     20      0   100%\nkeras/trainers/data_adapters/torch_data_adapter.py              46      3     10      3    89%\nkeras/trainers/epoch_iterator.py                               105     13     72     13    83%\nkeras/trainers/trainer.py                                      193     23     89     14    84%\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                                   286     61    202     45    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                              91      6     48      6    90%\nkeras/utils/image_utils.py                                     149     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                                         132     25     60      9    78%\nkeras/utils/python_utils.py                                     62      5     28      4    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     18    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                                      23      2      6      1    90%\nkeras/utils/traceback_utils.py                                 107     79     48      1    19%\nkeras/utils/tracking.py                                         97     10     54      5    82%\nkeras/version.py                                                 1      0      0      0   100%\n----------------------------------------------------------------------------------------------\nTOTAL                                                        34213  12330  13281   1443    62%\n\n=========================== short test summary info ============================\nFAILED keras/callbacks/model_checkpoint_test.py::ModelCheckpointTest::test_model_checkpoint_loading - ValueError: Arguments `target` and `output` must have the same shape. Received: target.shape=torch.Size([5, 1]), output.shape=torch.Size([5, 2])\n====== 1 failed, 2900 passed, 306 skipped, 1 xpassed in 69.52s (0:01:09) =======\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/keras/callbacks/model_checkpoint_test.py b/keras/callbacks/model_checkpoint_test.py\nindex bea73de7b8..fbc669cebc 100644\n--- a/keras/callbacks/model_checkpoint_test.py\n+++ b/keras/callbacks/model_checkpoint_test.py\n@@ -18,9 +18,9 @@ try:\n except ImportError:\n     h5py = None\n \n-TRAIN_SAMPLES = 10\n-TEST_SAMPLES = 10\n-NUM_CLASSES = 2\n+TRAIN_SAMPLES = 30\n+TEST_SAMPLES = 30\n+NUM_CLASSES = 3\n INPUT_DIM = 3\n NUM_HIDDEN = 5\n BATCH_SIZE = 5\n@@ -203,7 +203,7 @@ class ModelCheckpointTest(testing.TestCase):\n         model.fit(\n             x_train,\n             y_train,\n-            batch_size=2,  # 5 batches / epoch, so should backup every 3 epochs\n+            batch_size=6,  # 5 batches / epoch, so should backup every 3 epochs\n             validation_data=(x_test, y_test),\n             callbacks=cbks,\n             epochs=10,\n@@ -236,7 +236,7 @@ class ModelCheckpointTest(testing.TestCase):\n         model.fit(\n             x_train,\n             y_train,\n-            batch_size=2,\n+            batch_size=6,\n             validation_data=(x_test, y_test),\n             callbacks=cbks,\n             epochs=10,\n@@ -288,7 +288,7 @@ class ModelCheckpointTest(testing.TestCase):\n         model.fit(\n             x_train,\n             y_train,\n-            batch_size=5,\n+            batch_size=15,\n             validation_data=(x_test, y_test),\n             callbacks=cbks,\n             epochs=5,\n@@ -318,7 +318,7 @@ class ModelCheckpointTest(testing.TestCase):\n         model.fit(\n             x_train,\n             y_train,\n-            batch_size=5,\n+            batch_size=15,\n             validation_data=(x_test, y_test),\n             callbacks=cbks,\n             epochs=5,\n"}

data/11.json

@@ -0,0 +1 @@
+{"head_branch": "py3.12-fstring-extraction", "contributor": "encukou", "sha_fail": "be26d03a477a8c7a3919e2ba00121a0f7954bdb5", "sha_success": "1f06b3616f44bbd87a3c9df274225d431c01ae6e", "language": "Python", "repo_owner": "python-babel", "repo_name": "babel", "workflow_name": "Test", "workflow_filename": "test.yml", "workflow_path": ".github/workflows/test.yml", "workflow": "name: Test\n\non:\n  push:\n    branches:\n      - master\n      - '*-maint'\n  pull_request:\n    branches:\n      - master\n      - '*-maint'\n\njobs:\n  lint:\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions/checkout@v3\n      - uses: pre-commit/[email protected]\n  test:\n    runs-on: ${{ matrix.os }}\n    strategy:\n      matrix:\n        os: [\"ubuntu-20.04\", \"windows-2022\", \"macos-11\"]\n        python-version: [\"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\", \"pypy-3.7\"]\n    env:\n      BABEL_CLDR_NO_DOWNLOAD_PROGRESS: \"1\"\n      BABEL_CLDR_QUIET: \"1\"\n    steps:\n    - uses: actions/checkout@v3\n    - uses: actions/cache@v3\n      with:\n        path: cldr\n        key: cldr-${{ hashFiles('scripts/*cldr*') }}\n    - name: Set up Python ${{ matrix.python-version }}\n      uses: actions/setup-python@v4\n      with:\n        python-version: ${{ matrix.python-version }}\n        cache: \"pip\"\n        cache-dependency-path: \"**/setup.py\"\n    - name: Install dependencies\n      run: |\n        python -m pip install --upgrade pip setuptools wheel\n        python -m pip install 'tox~=4.0' 'tox-gh-actions~=3.0'\n    - name: Run test via Tox\n      run: tox --skip-missing-interpreters\n      env:\n        COVERAGE_XML_PATH: ${{ runner.temp }}\n    - uses: codecov/codecov-action@v3\n      with:\n        directory: ${{ runner.temp }}\n", "logs": "shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}\n##[endgroup]\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/pre-commit/pre-commit-hooks.\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/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...\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\ncheck for added large files..............................................\u001b[42mPassed\u001b[m\ncheck docstring is first.................................................\u001b[42mPassed\u001b[m\ncheck json...........................................(no files to check)\u001b[46;30mSkipped\u001b[m\ncheck yaml...............................................................\u001b[42mPassed\u001b[m\ndebug statements (python)................................................\u001b[42mPassed\u001b[m\nfix end of files.........................................................\u001b[42mPassed\u001b[m\npython tests naming......................................................\u001b[42mPassed\u001b[m\nfix requirements.txt.....................................................\u001b[42mPassed\u001b[m\ntrim trailing whitespace.................................................\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/babel/messages/extract.py b/babel/messages/extract.py\u001b[m\n\u001b[1mindex 5b67d2b..2f02638 100644\u001b[m\n\u001b[1m--- a/babel/messages/extract.py\u001b[m\n\u001b[1m+++ b/babel/messages/extract.py\u001b[m\n\u001b[36m@@ -21,6 +21,7 @@\u001b[m \u001b[mimport ast\u001b[m\n import io\u001b[m\n import os\u001b[m\n import sys\u001b[m\n\u001b[32m+\u001b[m\u001b[32mimport tokenize\u001b[m\n from collections.abc import (\u001b[m\n     Callable,\u001b[m\n     Collection,\u001b[m\n\u001b[36m@@ -33,7 +34,6 @@\u001b[m \u001b[mfrom os.path import relpath\u001b[m\n from textwrap import dedent\u001b[m\n from tokenize import COMMENT, NAME, OP, STRING, generate_tokens\u001b[m\n from typing import TYPE_CHECKING, Any\u001b[m\n\u001b[31m-import tokenize\u001b[m\n \u001b[m\n from babel.util import parse_encoding, parse_future_flags, pathmatch\u001b[m\n \u001b[m\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/babel/messages/extract.py b/babel/messages/extract.py\nindex 5b67d2b..2f02638 100644\n--- a/babel/messages/extract.py\n+++ b/babel/messages/extract.py\n@@ -21,6 +21,7 @@ import ast\n import io\n import os\n import sys\n+import tokenize\n from collections.abc import (\n     Callable,\n     Collection,\n@@ -33,7 +34,6 @@ from os.path import relpath\n from textwrap import dedent\n from tokenize import COMMENT, NAME, OP, STRING, generate_tokens\n from typing import TYPE_CHECKING, Any\n-import tokenize\n \n from babel.util import parse_encoding, parse_future_flags, pathmatch\n \n"}

data/12.json

@@ -0,0 +1 @@
+{"head_branch": "vizrank-2.0", "contributor": "janezd", "sha_fail": "1fef7bf674f2441de7fec54c3b6017d622722c48", "sha_success": "e8f13f71dd1bd19ae107057f850e8f1195478297", "language": "Python", "repo_owner": "biolab", "repo_name": "orange3", "workflow_name": "Documentation workflow", "workflow_filename": "doc.yml", "workflow_path": ".github/workflows/doc.yml", "workflow": "name: Documentation workflow\n\non:\n  push:\n    branches:\n      - master\n  pull_request:\n    branches:\n      - master\n\njobs:\n  build:\n    runs-on: ${{ matrix.os }}\n    strategy:\n      fail-fast: False\n      matrix:\n        python: [3.9]\n        os: [ubuntu-22.04]\n\n    steps:\n      - uses: actions/checkout@v2\n      - name: Setup Python\n        uses: actions/setup-python@v1\n        with:\n          python-version: ${{ matrix.python }}\n\n      - name: Install linux system dependencies\n        run: sudo apt-get install -y libxkbcommon-x11-0\n\n      - name: Install Tox\n        run: pip install tox\n\n      - name: Build documentation\n        run: tox -e build_doc\n        env:\n          QT_QPA_PLATFORM: offscreen\n", "logs": "-    \"keywords\": [\n-     \"sieve\",\n-     \"diagram\"\n-    ]\n-   },\n-   {\n-    \"text\": \"Mosaic Display\",\n-    \"doc\": \"visual-programming/source/widgets/visualize/mosaicdisplay.md\",\n-    \"icon\": \"../Orange/widgets/visualize/icons/MosaicDisplay.svg\",\n-    \"background\": \"#FFB7B1\",\n-    \"keywords\": [\n-     \"mosaic\",\n-     \"display\"\n-    ]\n-   },\n    {\n     \"text\": \"FreeViz\",\n     \"doc\": \"visual-programming/source/widgets/visualize/freeviz.md\",\n@@ -492,26 +462,6 @@\n      \"viz\"\n     ]\n    },\n-   {\n-    \"text\": \"Linear Projection\",\n-    \"doc\": \"visual-programming/source/widgets/visualize/linearprojection.md\",\n-    \"icon\": \"../Orange/widgets/visualize/icons/LinearProjection.svg\",\n-    \"background\": \"#FFB7B1\",\n-    \"keywords\": [\n-     \"linear\",\n-     \"projection\"\n-    ]\n-   },\n-   {\n-    \"text\": \"Radviz\",\n-    \"doc\": \"visual-programming/source/widgets/visualize/radviz.md\",\n-    \"icon\": \"../Orange/widgets/visualize/icons/Radviz.svg\",\n-    \"background\": \"#FFB7B1\",\n-    \"keywords\": [\n-     \"radviz\",\n-     \"viz\"\n-    ]\n-   },\n    {\n     \"text\": \"Heat Map\",\n     \"doc\": \"visual-programming/source/widgets/visualize/heatmap.md\",\nbuild_doc: exit 1 (24.95 seconds) /home/runner/work/orange3/orange3> bash doc/build_doc.sh pid=2358\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/pyproject_api/_backend.py True setuptools.build_meta\n  build_doc: FAIL code 1 (140.40=setup[113.93]+cmd[1.12,0.41,24.95] seconds)\n  evaluation failed :( (140.58 seconds)\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/Orange/widgets/visualize/utils/tests/test_vizrank.py b/Orange/widgets/visualize/utils/tests/test_vizrank.py\nnew file mode 100644\nindex 000000000..ae0fda3d3\n--- /dev/null\n+++ b/Orange/widgets/visualize/utils/tests/test_vizrank.py\n@@ -0,0 +1,304 @@\n+import unittest\n+from AnyQt.QtTest import QSignalSpy\n+from unittest.mock import patch, Mock\n+\n+from AnyQt.QtCore import Qt, pyqtSignal as Signal\n+from AnyQt.QtWidgets import QDialog\n+\n+from orangewidget.tests.base import GuiTest\n+from Orange.data import Table, Domain, ContinuousVariable\n+from Orange.widgets.visualize.utils.vizrank import (\n+    RunState, VizRankMixin,\n+    VizRankDialog, VizRankDialogAttrs, VizRankDialogAttrPair,\n+    VizRankDialogNAttrs\n+)\n+\n+\n+class MockDialog(VizRankDialog):\n+    class Task:\n+        interrupt = False\n+        set_partial_result = Mock()\n+\n+        def is_interruption_requested(self):\n+            return self.interrupt\n+\n+    task = Task()\n+\n+    def __init__(self, parent=None):\n+        super().__init__(parent)\n+\n+    def start(self, func, *args):\n+        func(*args, self.task)\n+\n+    def state_generator(self):\n+        return range(10)\n+\n+    def state_count(self):\n+        return 10\n+\n+    def compute_score(self, state):\n+        return 10 * (state % 2) + state // 2 if state != 3 else None\n+\n+    row_for_state = Mock()\n+\n+\n+class TestVizRankDialog(GuiTest):\n+\n+    @patch.object(VizRankDialog, \"start\")\n+    @patch.object(VizRankDialog, \"prepare_run\",\n+                  new=lambda self: setattr(self.run_state,\n+                                           \"state\", RunState.Ready))\n+    def test_init_and_button(self, run_vizrank):\n+        dialog = VizRankDialog(None)\n+        self.assertEqual(dialog.run_state.state, RunState.Initialized)\n+        self.assertEqual(dialog.button.text(), dialog.button_labels[RunState.Initialized])\n+        dialog.button.click()\n+        run_vizrank.assert_called_once()\n+        self.assertEqual(dialog.run_state.state, RunState.Running)\n+        self.assertEqual(dialog.button.text(), dialog.button_labels[RunState.Running])\n+\n+        dialog.button.click()\n+        run_vizrank.assert_called_once()\n+        self.assertEqual(dialog.run_state.state, RunState.Paused)\n+        self.assertEqual(dialog.button.text(), dialog.button_labels[RunState.Paused])\n+\n+        dialog.button.click()\n+        self.assertEqual(run_vizrank.call_count, 2)\n+        self.assertEqual(dialog.run_state.state, RunState.Running)\n+        self.assertEqual(dialog.button.text(), dialog.button_labels[RunState.Running])\n+\n+    def test_running(self):\n+        dialog = MockDialog()\n+        dialog.start_computation()\n+        result = dialog.task.set_partial_result.call_args[0][0]\n+        self.assertEqual(result.scores, [0, 1, 2, 3, 4, 10, 12, 13, 14])\n+        self.assertEqual(result.completed_states, 10)\n+\n+        dialog.on_done(result)\n+        self.assertEqual(dialog.run_state.state, RunState.Done)\n+        self.assertEqual(dialog.button.text(), dialog.button_labels[RunState.Done])\n+        self.assertFalse(dialog.button.isEnabled())\n+\n+\n+    def test_running(self):\n+        dialog = MockDialog()\n+        dialog.task.interrupt = True\n+        dialog.start_computation()\n+        result = dialog.task.set_partial_result.call_args[0][0]\n+        self.assertEqual(result.scores, [0])\n+        self.assertEqual(result.completed_states, 1)\n+\n+\n+class TestVizRankMixin(GuiTest):\n+    def setUp(self):\n+        self.mock_dialog = Mock()\n+        self.mock_dialog.__name__ = \"foo\"\n+\n+        class Widget(QDialog, VizRankMixin(self.mock_dialog)):\n+            pass\n+\n+        self.widget = Widget()\n+\n+    def test_button(self):\n+        widget, dialog = self.widget, self.mock_dialog\n+\n+        widget.start_vizrank = Mock()\n+        widget.raise_vizrank = Mock()\n+\n+        button = widget.vizrank_button(\"Let's Vizrank\")\n+        self.assertEqual(button.text(), \"Let's Vizrank\")\n+        self.assertFalse(button.isEnabled())\n+\n+        widget.disable_vizrank(\"Too lazy to rank to-day.\")\n+        self.assertEqual(button.text(), \"Let's Vizrank\")\n+        self.assertEqual(button.toolTip(), \"Too lazy to rank to-day.\")\n+        self.assertFalse(button.isEnabled())\n+        dialog.assert_not_called()\n+\n+        widget.init_vizrank()\n+        dialog.assert_called_once()\n+        dialog.reset_mock()\n+        self.assertEqual(button.text(), \"Let's Vizrank\")\n+        self.assertEqual(button.toolTip(), \"\")\n+        self.assertTrue(button.isEnabled())\n+\n+        widget.disable_vizrank(\"Too lazy to rank to-day.\")\n+        self.assertEqual(button.text(), \"Let's Vizrank\")\n+        self.assertEqual(button.toolTip(), \"Too lazy to rank to-day.\")\n+        self.assertFalse(button.isEnabled())\n+        dialog.assert_not_called()\n+\n+        widget.init_vizrank()\n+        dialog.assert_called_once()  # new data, new dialog!\n+        dialog.reset_mock()\n+\n+        button.click()\n+        widget.start_vizrank.assert_called_once()\n+        widget.raise_vizrank.assert_called_once()\n+\n+    def test_no_button(self):\n+        widget, dialog = self.widget, self.mock_dialog\n+\n+        widget.disable_vizrank(\"Too lazy to rank to-day.\")\n+        dialog.assert_not_called()\n+\n+        widget.init_vizrank()\n+        dialog.assert_called_once()\n+        dialog.reset_mock()\n+        widget.disable_vizrank(\"Too lazy to rank to-day.\")\n+\n+        widget.disable_vizrank(\"Too lazy to rank to-day.\")\n+        dialog.assert_not_called()\n+\n+        widget.init_vizrank()\n+        dialog.assert_called_once()\n+        dialog.reset_mock()\n+        widget.disable_vizrank(\"Too lazy to rank to-day.\")\n+\n+    def test_init_vizrank(self):\n+        widget, dialog = self.widget, self.mock_dialog\n+        a, b = Mock(), Mock()\n+        widget.init_vizrank(a, b)\n+        dialog.assert_called_with(widget, a, b)\n+\n+\n+class TestVizRankDialogWithData(GuiTest):\n+    def setUp(self):\n+        self.attrs = tuple(ContinuousVariable(n) for n in \"abcdef\")\n+        self.class_var = ContinuousVariable(\"y\")\n+        self.variables = (*self.attrs, self.class_var)\n+        self.metas = tuple(ContinuousVariable(n) for n in \"mn\")\n+        self.data = Table.from_list(\n+            Domain(self.attrs, self.class_var, self.metas),\n+            [[0] * 9])\n+\n+\n+class TestVizRankDialogAttrs(TestVizRankDialogWithData):\n+    def test_init(self):\n+        dialog = VizRankDialogAttrs(None, self.data)\n+        self.assertIs(dialog.data, self.data)\n+        self.assertEqual(dialog.attrs, self.variables)\n+        self.assertIsNone(dialog.attr_color)\n+\n+        dialog = VizRankDialogAttrs(None, self.data, self.attrs[1:])\n+        self.assertIs(dialog.data, self.data)\n+        self.assertEqual(dialog.attrs, self.attrs[1:])\n+        self.assertIsNone(dialog.attr_color)\n+\n+        dialog = VizRankDialogAttrs(None, self.data, self.attrs[1:], self.attrs[3])\n+        self.assertIs(dialog.data, self.data)\n+        self.assertEqual(dialog.attrs, self.attrs[1:])\n+        self.assertIs(dialog.attr_color, self.attrs[3])\n+\n+    def test_attr_order(self):\n+        dialog = VizRankDialogAttrs(None, self.data)\n+        self.assertEqual(dialog.attr_order, self.variables)\n+\n+        class OrderedAttr(VizRankDialogAttrs):\n+            call_count = 0\n+\n+            def score_attributes(self):\n+                self.call_count += 1\n+                return self.attrs[::-1]\n+\n+        dialog = OrderedAttr(None, self.data)\n+        self.assertEqual(dialog.attr_order, self.variables[::-1])\n+        self.assertEqual(dialog.attr_order, self.variables[::-1])\n+        self.assertEqual(dialog.call_count, 1)\n+\n+    def test_row_for_state(self):\n+        dialog = VizRankDialogAttrs(None, self.data)\n+        item = dialog.row_for_state(0, [3, 1])[0]\n+        self.assertEqual(item.data(Qt.DisplayRole), \"d, b\")\n+        self.assertEqual(item.data(dialog._AttrRole), [self.attrs[3], self.attrs[1]])\n+\n+        dialog.sort_names_in_row = True\n+        item = dialog.row_for_state(0, [3, 1])[0]\n+        self.assertEqual(item.data(Qt.DisplayRole), \"b, d\")\n+        self.assertEqual(item.data(dialog._AttrRole), [self.attrs[3], self.attrs[1]])\n+\n+    def test_autoselect(self):\n+        widget = VizRankMixin()\n+        dialog = VizRankDialogAttrs(widget, self.data)\n+        for state in ([0, 1], [0, 3], [1, 3], [3, 1]):\n+            dialog.rank_model.appendRow(dialog.row_for_state(0, state))\n+\n+        widget.vizrankAutoSelect.emit([self.attrs[1], self.attrs[3]])\n+        selection = dialog.rank_table.selectedIndexes()\n+        self.assertEqual(len(selection), 1)\n+        self.assertEqual(selection[0].row(), 2)\n+\n+        widget.vizrankAutoSelect.emit([self.attrs[3], self.attrs[1]])\n+        selection = dialog.rank_table.selectedIndexes()\n+        self.assertEqual(len(selection), 1)\n+        self.assertEqual(selection[0].row(), 3)\n+\n+        widget.vizrankAutoSelect.emit([self.attrs[3], self.attrs[0]])\n+        selection = dialog.rank_table.selectedIndexes()\n+        self.assertEqual(len(selection), 0)\n+\n+\n+class TestVizRankDialogAttrPair(TestVizRankDialogWithData):\n+    def test_count_and_generator(self):\n+        dialog = VizRankDialogAttrPair(None, self.data, self.attrs[:5])\n+        self.assertEqual(dialog.state_count(), 5 * 4 / 2)\n+        self.assertEqual(\n+            list(dialog.state_generator()),\n+            [(0, 1), (0, 2), (1, 2), (0, 3), (1, 3), (2, 3),\n+             (0, 4), (1, 4), (2, 4), (3, 4)])\n+\n+\n+class TestVizRankDialogNAttrs(TestVizRankDialogWithData):\n+    def test_spin_interaction(self):\n+        dialog = VizRankDialogNAttrs(None,\n+                                     self.data, self.attrs[:5], None, 4)\n+        spy = QSignalSpy(dialog.runStateChanged)\n+\n+        with patch.object(\n+                VizRankDialog, \"pause_computation\",\n+                side_effect=lambda: dialog.set_run_state(RunState.Paused)):\n+            with patch.object(\n+                    VizRankDialog, \"start_computation\",\n+                    side_effect=lambda: dialog.set_run_state(RunState.Running)):\n+                spin = dialog.n_attrs_spin\n+                self.assertEqual(spin.value(), 4)\n+                self.assertEqual(spin.maximum(), 5)\n+\n+                dialog.start_computation()\n+                self.assertEqual(dialog.run_state.state, RunState.Running)\n+                self.assertEqual(spy[-1][1][\"n_attrs\"], 4)\n+\n+                spin.setValue(3)\n+                # Ranking must be paused\n+                self.assertEqual(dialog.run_state.state, RunState.Paused)\n+                # Label should be changed to \"restart with ...\"\n+                self.assertNotEqual(dialog.button.text(),\n+                                    dialog.button_labels[RunState.Paused])\n+\n+                spin.setValue(4)\n+                self.assertEqual(dialog.run_state.state, RunState.Paused)\n+                # Label should be reset to \"Continue\"\n+                self.assertEqual(dialog.button.text(),\n+                                 dialog.button_labels[RunState.Paused])\n+\n+        # Remove the side-effect so that we see that start_computation\n+        # resets the state to Initialized before calling super\n+        with patch.object(VizRankDialog, \"start_computation\"):\n+            dialog.start_computation()\n+            self.assertEqual(spy[-1][1][\"n_attrs\"], 4)\n+            # Here, the state must not be reset to Initialized\n+            self.assertEqual(dialog.run_state.state, RunState.Paused)\n+            # But now manually set it to appropriate state\n+            dialog.set_run_state(RunState.Running)\n+\n+            spin.setValue(3)\n+            self.assertEqual(dialog.run_state.state, RunState.Paused)\n+            self.assertNotEqual(dialog.button.text(), dialog.button_labels[RunState.Paused])\n+\n+            dialog.start_computation()\n+            self.assertEqual(dialog.run_state.state, RunState.Initialized)\n+            self.assertEqual(spy[-1][1][\"n_attrs\"], 3)\n+\n+\n+if __name__ == \"__main__\":\n+    unittest.main()\n\\ndiff --git a/Orange/widgets/visualize/utils/vizrank.py b/Orange/widgets/visualize/utils/vizrank.py\nnew file mode 100644\nindex 000000000..bbdaff0af\n--- /dev/null\n+++ b/Orange/widgets/visualize/utils/vizrank.py\n@@ -0,0 +1,743 @@\n+from bisect import bisect_left\n+from queue import Queue, Empty\n+from types import SimpleNamespace as namespace\n+from typing import Optional, Iterable, List, Callable, Iterator, Any, Type\n+from threading import Timer\n+\n+from AnyQt.QtCore import Qt, QSize, QSortFilterProxyModel, pyqtSignal as Signal\n+from AnyQt.QtGui import (\n+    QStandardItemModel, QStandardItem, QShowEvent, QCloseEvent, QHideEvent)\n+from AnyQt.QtWidgets import (\n+    QTableView, QDialog, QVBoxLayout, QLineEdit, QPushButton)\n+\n+from Orange.widgets import gui\n+from Orange.widgets.gui import HorizontalGridDelegate, TableBarItem\n+from Orange.widgets.utils.concurrent import ConcurrentMixin, TaskState\n+from Orange.widgets.utils.progressbar import ProgressBarMixin\n+\n+\n+class Result(namespace):\n+    queue = None  # type: Queue[QueuedScore, ...]\n+    scores = None  # type: Optional[List[float, ...]]\n+\n+\n+class QueuedScore(namespace):\n+    position = None  # type: int\n+    score = None  # type: float\n+    state = None  # type: Iterable\n+\n+\n+class RunState(namespace):\n+    Invalid = 0  # Used only as default, changed to Initialized when instantiated\n+    Initialized = 1  # Has data; prepare_run must be called before starting computation\n+    Ready = 2  # Has data, iterator is initialized, but never used\n+    Running = 3  # Scoring thread is running\n+    Paused = 4  # Scoring thread is inactive, but can continue (without prepare_run)\n+    Done = 5  # Scoring is done\n+\n+    state: int = Invalid\n+    iterator: Iterable = None\n+    completed: int = 0\n+\n+    def can_run(self):\n+        return self.state in (self.Ready, self.Paused)\n+\n+\n+class VizRankDialog(QDialog, ProgressBarMixin, ConcurrentMixin):\n+    \"\"\"\n+    Base class for VizRank dialogs, providing a GUI with a table and a button,\n+    and the skeleton for managing the evaluation of visualizations.\n+\n+    A new instance of this class is used for new data or any change made in\n+    the widget (e.g. color attribute in the scatter plot).\n+\n+    The attribute run_state (and the related signal runStateChanged) can be\n+    used for tracking the work flow of the widget. run_state.state can be\n+\n+    - RunState.Initialized (after __init__): the widget has the data, but\n+       the state generator is not constructed, total statecount is not known\n+       yet. The dialog may reenter this state after, for instance, changing\n+       the number of attributes per combination in radviz.\n+    - RunState.Ready (after prepare_run): the iterator is ready, state count\n+       is known: the ranking can commence.\n+    - RunState.Running (after start_computation): ranking is in progress.\n+       This state is entered by start_computation. If start_computation is\n+       called when the state is Initialized, start computation will call\n+       prepare_run.\n+    - RunState.Paused (after pause_computation): ranking is paused. This may\n+       continue (with start_computation) or be reset when parameters of VizRank\n+       are changed (by calling `set_run_state(RunState.Initialized)` and then\n+       start_computation, which will first call prepare_run to go to Ready)\n+    - RunState.Done: ranking is done. The only allowed next state is\n+       Initialized (with the procedure described in the previous point).\n+\n+    State should be changed through set_run_state, which also changes the button\n+    label and disables the button when Done.\n+\n+    Derived classes must provide methods\n+\n+    - `__init__(parent, *args, **kwargs)`: stores the data to run vizrank,\n+    - `state_generator()`: generates combinations (e.g. of attributes),\n+    - `compute_score(state)`: computes the score for the combination,\n+    - `row_for_state(state)`: returns a list of items inserted into the\n+       table for the given state.\n+\n+    and, probably,\n+\n+    - emit `selectionChanged` when the user changes the selection in the table,\n+\n+    and, optionally,\n+\n+    - `state_count`: return the number of combinations (used for progress bar)\n+    - `bar_length`: return the length of the bar corresponding to the score,\n+    - `auto_select`: selects the row corresponding to the given data.\n+\n+    Derived classes are also responsible for connecting to\n+    rank_table.selectionModel().selectionChanged and emitting something useful\n+    via selectionChanged\n+\n+    The constructor shouldn't do anything but store the necessary data (as is)\n+    because instances of this object are created on any new data. The actual\n+    work can only start in `prepare_run`. `prepare_run` usually won't be\n+    overriden, so the first computation in derived classes will usually happen\n+    in `compute_score` or, in classes derived from`VizRankAttributes`, in\n+    `score_attributes`.\n+\n+    Args:\n+        parent (Orange.widget.OWWidget): widget to which the dialog belongs\n+\n+    Attributes:\n+        captionTitle (str): the caption for the dialog. This can be a class\n+          attribute. `captionTitle` is used by the `ProgressBarMixin`.\n+        show_bars (True): if True (default), table with scores contains bars\n+          of length -score. For a different length, override `bar_lenght`.\n+          To hide bars (e.g. because scores can't be normalized) set this to\n+          `False`.\n+\n+    Signal:\n+        selectionChanged(object): emitted when selection in the table is\n+            changed. The data type depends on the derived class (e.g. a list\n+            of attributes)\n+        runStateChanged(int, dict): emitted when the run state changes\n+            (e.g. start, pause...). Derived classes can fill the dictionary\n+            with additional data, e.g. the state of the user interface\n+    \"\"\"\n+    captionTitle = \"Score Plots\"\n+    show_bars = True\n+\n+    selectionChanged = Signal(object)\n+    runStateChanged = Signal(int, dict)\n+\n+    button_labels = {RunState.Initialized: \"Start\",\n+                     RunState.Ready: \"Start\",\n+                     RunState.Running: \"Pause\",\n+                     RunState.Paused: \"Continue\",\n+                     RunState.Done: \"Finished\",\n+                     RunState.Invalid: \"Start\"}\n+\n+    def __init__(self, parent):\n+        QDialog.__init__(self, parent, windowTitle=self.captionTitle)\n+        ConcurrentMixin.__init__(self)\n+        ProgressBarMixin.__init__(self)\n+        self.setLayout(QVBoxLayout())\n+\n+        self.scores = []\n+        self.add_to_model = Queue()\n+        self.run_state = RunState()\n+        self.total_states = 1\n+\n+        self.filter = QLineEdit()\n+        self.filter.setPlaceholderText(\"Filter ...\")\n+        self.layout().addWidget(self.filter)\n+\n+        self.rank_model = QStandardItemModel(self)\n+        self.model_proxy = QSortFilterProxyModel(\n+            self, filterCaseSensitivity=Qt.CaseInsensitive)\n+        self.model_proxy.setSourceModel(self.rank_model)\n+        self.filter.textChanged.connect(self.model_proxy.setFilterFixedString)\n+\n+        self.rank_table = view = QTableView(\n+            selectionBehavior=QTableView.SelectRows,\n+            selectionMode=QTableView.SingleSelection,\n+            showGrid=False,\n+            editTriggers=gui.TableView.NoEditTriggers)\n+        view.setItemDelegate(TableBarItem() if self.show_bars\n+                             else HorizontalGridDelegate())\n+        view.setModel(self.model_proxy)\n+        view.horizontalHeader().setStretchLastSection(True)\n+        view.horizontalHeader().hide()\n+        self.layout().addWidget(view)\n+\n+        self.button = gui.button(self, self, \"Start\", default=True)\n+\n+        @self.button.pressed.connect\n+        def on_button_pressed():\n+            if self.run_state.state == RunState.Running:\n+                self.pause_computation()\n+            else:\n+                self.start_computation()\n+\n+        self.set_run_state(RunState.Initialized)\n+\n+    def prepare_run(self) -> None:\n+        \"\"\"\n+        Called by start_computation before running for the first time or with\n+        new parameters within the vizrank gui, e.g. a different number of\n+        attributes in combinations.\n+\n+        Derived classes may override this method to add other preparation steps,\n+        but shouldn't need to call it.\n+        \"\"\"\n+        self.progressBarInit()\n+        self.scores = []\n+        self._update_model()  # empty queue\n+        self.rank_model.clear()\n+        self.run_state.iterator = self.state_generator()\n+        self.total_states = self.state_count() or 1\n+        self.set_run_state(RunState.Ready)\n+\n+    def start_computation(self) -> None:\n+        if self.run_state.state == RunState.Initialized:\n+            self.prepare_run()\n+        if not self.run_state.can_run():\n+            return\n+        self.set_run_state(RunState.Running)\n+        self.start(\n+            self.run_vizrank,\n+            self.compute_score, self.scores,\n+            self.run_state.iterator, self.run_state.completed)\n+\n+    def pause_computation(self) -> None:\n+        if not self.run_state.state == RunState.Running:\n+            return\n+        self.set_run_state(RunState.Paused)\n+        self.cancel()\n+        self._update_model()\n+\n+    @staticmethod\n+    def run_vizrank(compute_score: Callable, scores: List,\n+                    state_iterator: Iterator, completed: int, task: TaskState):\n+        res = Result(queue=Queue(), scores=None, completed_states=completed)\n+        scores = scores.copy()\n+        can_set_partial_result = True\n+\n+        def do_work(st: Any):\n+            score = compute_score(st)\n+            if score is not None:\n+                pos = bisect_left(scores, score)\n+                res.queue.put_nowait(QueuedScore(position=pos, score=score,\n+                                                 state=st))\n+                scores.insert(pos, score)\n+            res.scores = scores.copy()\n+            res.completed_states += 1\n+\n+        def reset_flag():\n+            nonlocal can_set_partial_result\n+            can_set_partial_result = True\n+\n+        for state in state_iterator:\n+            do_work(state)\n+            # Prevent simple scores from invoking 'task.set_partial_result')\n+            # too frequently and making the widget unresponsive\n+            if can_set_partial_result:\n+                task.set_partial_result(res)\n+                can_set_partial_result = False\n+                Timer(0.01, reset_flag).start()\n+            if task.is_interruption_requested():\n+                return res\n+        task.set_partial_result(res)\n+        return res\n+\n+    def on_partial_result(self, result: Result) -> None:\n+        try:\n+            while True:\n+                queued = result.queue.get_nowait()\n+                self.add_to_model.put_nowait(queued)\n+        except Empty:\n+            pass\n+        self.scores = result.scores\n+        self._update_model()\n+        self.run_state.completed = result.completed_states\n+        self.progressBarSet(self._progress)\n+\n+    @property\n+    def _progress(self) -> int:\n+        return int(round(self.run_state.completed * 100 / self.total_states))\n+\n+    def on_done(self, result: Result) -> None:\n+        self.progressBarFinished()\n+        self.set_run_state(RunState.Done)\n+        self._update_model()\n+\n+    def set_run_state(self, state: Any) -> None:\n+        if state != self.run_state.state:\n+            self.run_state.state = state\n+            self.emit_run_state_changed()\n+        if state == RunState.Paused:\n+            self.setWindowTitle(\n+                f\"{self.captionTitle} (paused at {self._progress}%)\")\n+        self.set_button_state()\n+\n+    def emit_run_state_changed(self):\n+        self.runStateChanged.emit(self.run_state.state, {})\n+\n+    def set_button_state(self,\n+                         label: Optional[str] = None,\n+                         enabled: Optional[bool]=None) -> None:\n+        state = self.run_state.state\n+        self.button.setText(\n+            label if label is not None\n+            else self.button_labels[state])\n+        self.button.setEnabled(\n+            enabled if enabled is not None\n+            else state not in [RunState.Done, RunState.Invalid])\n+\n+    def _update_model(self) -> None:\n+        try:\n+            while True:\n+                queued = self.add_to_model.get_nowait()\n+                row_items = self.row_for_state(queued.score, queued.state)\n+                bar_length = self.bar_length(queued.score)\n+                if bar_length is not None:\n+                    row_items[0].setData(bar_length,\n+                                         gui.TableBarItem.BarRole)\n+                self.rank_model.insertRow(queued.position, row_items)\n+        except Empty:\n+            pass\n+\n+    def showEvent(self, event: QShowEvent) -> None:\n+        self.parent()._restore_vizrank_geometry()\n+        super().showEvent(event)\n+\n+    def closeEvent(self, event: QCloseEvent) -> None:\n+        self.pause_computation()\n+        self.parent()._save_vizrank_geometry()\n+        super().closeEvent(event)\n+\n+    def state_generator(self) -> Iterable:\n+        \"\"\"\n+        Generate all possible states (e.g. attribute combinations) for the\n+        given data. The content of the generated states is specific to the\n+        visualization.\n+        \"\"\"\n+        raise NotImplementedError\n+\n+    def compute_score(self, state: Any) -> Optional[float]:\n+        \"\"\"\n+        Abstract method for computing the score for the given state. Smaller\n+        scores are better.\n+\n+        Args:\n+            state: the state, e.g. the combination of attributes as generated\n+                by :obj:`state_count`.\n+        \"\"\"\n+        raise NotImplementedError\n+\n+    def row_for_state(self, score: float, state: Any) -> List[QStandardItem]:\n+        \"\"\"\n+        Return a list of items that are inserted into the table.\n+\n+        Args:\n+            score: score, computed by :obj:`compute_score`\n+            state: the state, e.g. combination of attributes\n+            \"\"\"\n+        raise NotImplementedError\n+\n+    def auto_select(self, arg: Any) -> None:\n+        \"\"\"\n+        Select the row corresponding to the give data.\n+        \"\"\"\n+        pass\n+\n+    def state_count(self) -> int:\n+        \"\"\"\n+        Return the total number of states, needed for the progress bar.\n+        \"\"\"\n+        return 1\n+\n+    def bar_length(self, score: float) -> float:\n+        \"\"\"\n+        Return the bar length (between 0 and 1) corresponding to the score.\n+        Return `None` if the score cannot be normalized.\n+        \"\"\"\n+        return max(0., -score)\n+\n+\n+def VizRankMixin(vizrank_class) -> Type[type]:\n+    \"\"\"\n+    A mixin that serves as an interface between the vizrank dialog and the widget.\n+\n+    Widget should avoid directly access the vizrank dialog.\n+\n+    This mixin takes care of constructing the vizrank dialog, raising it,\n+    and for closing and shutting the vizrank down when necessary. Data for\n+    vizrank is passed to the vizrank through the mixin, and the mixin forwards\n+    the signals from vizrank dialog (e.g. when the user selects rows in vizrank)\n+    to the widget.\n+\n+    The mixin is parametrized: it must be given the VizRank class to open,\n+    as in\n+\n+    ```\n+    class OWMosaicDisplay(OWWidget, VizRankMixin(MosaicVizRank)):\n+    ```\n+\n+    There should therefore be no need to subclass this class.\n+\n+    Method `vizrank_button` returns a button to be placed into the widget.\n+\n+    Signals:\n+     - `vizrankSelectionChanged` is connected to VizRank's selectionChanged.\n+       E.g. MosaicVizRank.selectionChanged is forwarded to selectionChanged,\n+       and contains the data sent by the former.\n+     - `virankRunStateChanged` is connected to VizRank's runStateChanged.\n+       This can be used to retrieve the settings from the dialog at appropriate\n+       times.\n+    - If the widget emits a signal `vizrankAutoSelect` when\n+      the user manually changes the variables shown in the plot (e.g. x or y\n+      attribute in the scatter plot), the vizrank will also select this\n+      combination in the list, if found.\n+\"\"\"\n+    class __VizRankMixin:\n+        __button: Optional[QPushButton] = None\n+        __vizrank: Optional[VizRankDialog] = None\n+        __vizrank_geometry: Optional[bytes] = None\n+\n+        vizrankSelectionChanged = Signal(object)\n+        vizrankRunStateChanged = Signal(int, dict)\n+        vizrankAutoSelect = Signal(object)\n+\n+        @property\n+        def vizrank_dialog(self) -> Optional[VizRankDialog]:\n+            \"\"\"\n+            The vizrank dialog. This should be used only in tests.\n+            \"\"\"\n+            return self.__vizrank\n+\n+        def vizrank_button(self, button_label: Optional[str] = None) -> QPushButton:\n+            \"\"\"\n+            A button that opens/starts the vizrank.\n+\n+            The label is optional because this function is used for\n+            constructing the button as well as for retrieving it later.\n+            \"\"\"\n+            if self.__button is None:\n+                self.__button = QPushButton()\n+                self.__button.pressed.connect(self.start_vizrank)\n+                self.__button.pressed.connect(self.raise_vizrank)\n+                # It's implausible that vizrank_button will be called after\n+                # init_vizrank, we could just disable the button. But let's\n+                # play it safe.\n+                self.__button.setDisabled(self.__vizrank is None)\n+            if button_label is not None:\n+                self.__button.setText(button_label)\n+            return self.__button\n+\n+        def init_vizrank(self, *args, **kwargs) -> None:\n+            \"\"\"\n+            Construct the vizrank dialog\n+\n+            Any data is given to the constructor. This also enables the button\n+            if it exists.\n+            \"\"\"\n+            self.shutdown_vizrank()\n+            self.__vizrank = vizrank_class(self, *args, **kwargs)\n+            self.__vizrank.selectionChanged.connect(self.vizrankSelectionChanged)\n+            self.__vizrank.runStateChanged.connect(self.vizrankRunStateChanged)\n+            self.vizrankAutoSelect.connect(self.__vizrank.auto_select)\n+            # There may be Vizrank without a button ... perhaps.\n+            if self.__button is not None:\n+                self.__button.setEnabled(True)\n+                self.__button.setToolTip(\"\")\n+\n+        def disable_vizrank(self, reason: str = \"\") -> None:\n+            \"\"\"\n+            Shut down the vizrank thread, closes it, disables the button.\n+\n+            The method should be called when the widget has no data or cannot\n+            run vizrank on it. The optional `reason` is set as tool tip.\n+            \"\"\"\n+            self.shutdown_vizrank()\n+            if self.__button is not None:\n+                self.__button.setEnabled(False)\n+                self.__button.setToolTip(reason)\n+\n+        def start_vizrank(self) -> None:\n+            \"\"\"\n+            Start the ranking.\n+\n+            There should be no reason to call this directly,\n+            unless the widget has no vizrank button.\n+            \"\"\"\n+            self.__vizrank.start_computation()\n+\n+        def raise_vizrank(self) -> None:\n+            \"\"\"\n+            Start the ranking.\n+\n+            There should be no reason to call this directly,\n+            unless the widget has no vizrank button.\n+            \"\"\"\n+            if self.__vizrank is None:\n+                return\n+            self.__vizrank.show()\n+            self.__vizrank.activateWindow()\n+            self.__vizrank.raise_()\n+\n+        def shutdown_vizrank(self) -> None:\n+            \"\"\"\n+            Start the ranking.\n+\n+            There should be no reason to call this directly:\n+            the method is called\n+            - from init_vizrank (the widget received new data),\n+            - from disable_vizrank (the widget lost data, or data is unsuitable),\n+            - when the widget is deleted.\n+            \"\"\"\n+            if self.__vizrank is None:\n+                return\n+            self.__vizrank.cancel()\n+            self.__vizrank.close()\n+            self.__vizrank.deleteLater()\n+            self.__vizrank = None\n+\n+        # The following methods ensure that the vizrank dialog is\n+        # closed/hidden/destroyed together with its parent widget.\n+        def closeEvent(self, event: QCloseEvent) -> None:\n+            if self.__vizrank:\n+                self.__vizrank.close()\n+            super().closeEvent(event)\n+\n+        def hideEvent(self, event: QHideEvent) -> None:\n+            if self.__vizrank:\n+                self.__vizrank.hide()\n+            super().hideEvent(event)\n+\n+        def onDeleteWidget(self) -> None:\n+            self.shutdown_vizrank()\n+            super().onDeleteWidget()\n+\n+        def _save_vizrank_geometry(self) -> None:\n+            assert self.__vizrank\n+            self.__vizrank_geometry = self.__vizrank.saveGeometry()\n+\n+        def _restore_vizrank_geometry(self) -> None:\n+            assert self.__vizrank\n+            if self.__vizrank_geometry is not None:\n+                self.__vizrank.restoreGeometry(self.__vizrank_geometry)\n+\n+    # Give the returned class a proper name, like MosaicVizRankMixin\n+    return type(f\"{vizrank_class.__name__}Mixin\", (__VizRankMixin, ), {})\n+\n+\n+class VizRankDialogAttrs(VizRankDialog):\n+    \"\"\"\n+    Base class for VizRank classes that work over combinations of attributes.\n+\n+    Constructor accepts\n+     - data (Table),\n+     - attributes (list[Variable]; if omitted, data.domain.variables is used),\n+     - attr_color (Optional[Variable]): the \"color\" attribute, if applicable.\n+\n+    The class assumes that `state` is a sequence of indices into a list of\n+    attributes. On this basis, it provides\n+\n+    - `row_for_state`, that constructs a list containing a single QStandardItem\n+      with names of attributes and with `_AttrRole` data set to a list of\n+      attributes for the given state.\n+    - `on_selection_changed` that emits a `selectionChanged` signal with the\n+      above list.\n+\n+    Derived classes must still provide\n+\n+    - `state_generator()`: generates combinations of attribute indices\n+    - `compute_score(state)`: computes the score for the combination\n+\n+    Derived classes will usually provide\n+    - `score_attribute` that will returned a list of attributes, such as found\n+      in self.attrs, but sorted by importance according to some heuristic.\n+\n+    Attributes:\n+        - data (Table): data used in ranking\n+        - attrs (list[Variable]): applicable variables\n+        - attr_color (Variable or None): the target attribute\n+\n+    Class attributes:\n+        - sort_names_in_row (bool): if set to True (default is False),\n+          variables in the view will be sorted alphabetically.\n+    \"\"\"\n+    _AttrRole = next(gui.OrangeUserRole)\n+    sort_names_in_row = False\n+\n+    # Ideally, the only argument would be `data`, with attributes used for\n+    # ranking and class_var would be the \"color\". This would however require\n+    # that widgets prepare such data when initializing vizrank even though\n+    # vizrank wouldn't necessarily be called at all. We will be able to afford\n+    # that after we migrate Table to pandas.\n+    def __init__(self, parent,\n+                 data: \"Orange.data.Table\",\n+                 attributes: Optional[List[\"Orange.data.Variable\"]] = None,\n+                 attr_color: Optional[\"Orange.data.Variable\"] = None):\n+        super().__init__(parent)\n+        self.data = data or None\n+        self.attrs = attributes or (\n+            self.data and self.data.domain.variables)\n+        self.attr_color = attr_color\n+        self._attr_order = None\n+\n+        self.rank_table.selectionModel().selectionChanged.connect(\n+            self.on_selection_changed)\n+\n+    @property\n+    def attr_order(self) -> List[\"Orange.data.Variable\"]:\n+        \"\"\"\n+        Attributes, sorted according to some heuristic.\n+\n+        The property is computed by score_attributes when neceessary, and\n+        cached.\n+        \"\"\"\n+        if self._attr_order is None:\n+            self._attr_order = self.score_attributes()\n+        return self._attr_order\n+\n+    def score_attributes(self) -> None:\n+        \"\"\"\n+        Return a list of attributes ordered according by some heuristic.\n+\n+        Default implementation returns the original list `self.attrs`.\n+        \"\"\"\n+        return self.attrs\n+\n+    def on_selection_changed(self, selected, deselected) -> None:\n+        \"\"\"\n+        Emit the currently selected combination of variables.\n+        \"\"\"\n+        selection = selected.indexes()\n+        if not selection:\n+            return\n+        attrs = selected.indexes()[0].data(self._AttrRole)\n+        self.selectionChanged.emit(attrs)\n+\n+    def row_for_state(self, score: float, state: List[int]\n+                      ) -> List[QStandardItem]:\n+        \"\"\"\n+        Return the QStandardItem for the given combination of attributes.\n+        \"\"\"\n+        attrs = [self.attr_order[s] for s in state]\n+        if self.sort_names_in_row:\n+            attrs.sort(key=lambda attr: attr.name.lower())\n+        attr_names = (a.name for a in attrs)\n+        item = QStandardItem(', '.join(attr_names))\n+        item.setData(attrs, self._AttrRole)\n+        return [item]\n+\n+    def auto_select(self, attrs: List[\"Orange.data.Variable\"]) -> None:\n+        \"\"\"\n+        Find the given combination of variables and select it (if it exists)\n+        \"\"\"\n+        model = self.rank_model\n+        self.rank_table.selectionModel().clear()\n+        for row in range(model.rowCount()):\n+            index = model.index(row, 0)\n+            row_attrs = model.data(index, self._AttrRole)\n+            if all(x is y for x, y in zip(row_attrs, attrs)):\n+                self.rank_table.selectRow(row)\n+                self.rank_table.scrollTo(index)\n+                return\n+\n+\n+class VizRankDialogAttrPair(VizRankDialogAttrs):\n+    \"\"\"\n+    Base class for VizRanks with combinations of two variables.\n+\n+    Provides state_generator and state_count; derived classes must provide\n+    compute_score and, possibly, score_attributes.\n+    \"\"\"\n+    def __init__(self, parent, data, attributes=None, attr_color=None):\n+        super().__init__(parent, data, attributes, attr_color)\n+        self.resize(320, 512)\n+\n+    def sizeHint(self) -> QSize:\n+        return QSize(320, 512)\n+\n+    def state_count(self) -> int:\n+        n_attrs = len(self.attrs)\n+        return n_attrs * (n_attrs - 1) // 2\n+\n+    def state_generator(self) -> Iterable:\n+        return ((j, i) for i in range(len(self.attr_order)) for j in range(i))\n+\n+\n+class VizRankDialogNAttrs(VizRankDialogAttrs):\n+    \"\"\"\n+    Base class for VizRanks with a spin for selecting the number of attributes.\n+\n+    Constructor requires data, attributes, attr_color and, also, the initial\n+    number of attributes in the spin box.\n+\n+    - Ranking is stopped if the user interacts with the spin.\n+    - The button label is changed to \"Restart with {...} variables\" if the\n+      number selected in the spin doesn't match the number of varialbes in the\n+      paused ranking, and reset back to \"Continue\" when it matches.\n+    - start_computation is overriden to lower the state to Initialized before\n+      calling super, if the number of selected in the spin doesn't match the\n+      previous run.\n+    - The dictionary passed by the signal runStateChanged contains n_attrs\n+      with the number of attributes used in the current/last ranking.\n+    - When closing the dialog, the spin is reset to the number of attributes\n+      used in the last run.\n+    \"\"\"\n+    attrsSelected = Signal([])\n+\n+    def __init__(self, parent,\n+                 data: \"Orange.data.Table\",\n+                 attributes: List[\"Orange.data.Variable\"],\n+                 color: \"Orange.data.Variable\",\n+                 n_attrs: int,\n+                 *, spin_label: str = \"Number of variables: \"):\n+        # Add the spin box for a number of attributes to take into account.\n+        self.n_attrs = n_attrs\n+        super().__init__(parent, data, attributes, color)\n+        self._attr_order = None\n+\n+        box = gui.hBox(self)\n+        self.n_attrs_spin = gui.spin(\n+            box, self, None, 3, 8, label=spin_label,\n+            controlWidth=50, alignment=Qt.AlignRight,\n+            callback=self.on_n_attrs_changed)\n+\n+        n_cont = self.max_attrs()\n+        self.n_attrs_spin.setValue(min(self.n_attrs, n_cont))\n+        self.n_attrs_spin.setMaximum(n_cont)\n+        self.n_attrs_spin.parent().setDisabled(not n_cont)\n+\n+    def max_attrs(self) -> int:\n+        return sum(v is not self.attr_color for v in self.attrs)\n+\n+    def start_computation(self) -> None:\n+        if self.n_attrs != self.n_attrs_spin.value():\n+            self.n_attrs = self.n_attrs_spin.value()\n+            self.set_run_state(RunState.Initialized)\n+        self.n_attrs_spin.lineEdit().deselect()\n+        self.rank_table.setFocus(Qt.FocusReason.OtherFocusReason)\n+        super().start_computation()\n+\n+    def on_n_attrs_changed(self) -> None:\n+        if self.run_state.state == RunState.Running:\n+            self.pause_computation()\n+\n+        new_attrs = self.n_attrs_spin.value()\n+        if new_attrs == self.n_attrs:\n+            self.set_button_state()\n+        else:\n+            self.set_button_state(label=f\"Restart with {new_attrs} variables\",\n+                                  enabled=True)\n+\n+    def emit_run_state_changed(self) -> None:\n+        self.runStateChanged.emit(self.run_state.state,\n+                                  dict(n_attrs=self.n_attrs))\n+\n+    def closeEvent(self, event) -> None:\n+        self.n_attrs_spin.setValue(self.n_attrs)\n+        super().closeEvent(event)\n+\n"}

data/13.json

@@ -0,0 +1 @@
+{"head_branch": "nightly", "contributor": "markotoplak", "sha_fail": "d54275b61d018de1027878ce5ac738c280a0f48f", "sha_success": "34ac519e0facc8c6961c1c1aefee53e24c884dec", "language": "Python", "repo_owner": "biolab", "repo_name": "orange3", "workflow_name": "Check translations", "workflow_filename": "translations.yml", "workflow_path": ".github/workflows/translations.yml", "workflow": "name: Check translations\n\non:\n  push:\n    branches:\n      - master\n  pull_request:\n    branches:\n      - master\n\njobs:\n  build:\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions/checkout@v4\n\n      - name: Setup Python\n        uses: actions/setup-python@v4\n        with:\n          python-version: '3.x'\n\n      - name: Install Trubar\n        run: |\n          pip install trubar\n\n      - name: Collect translations\n        run: |\n          cd i18n\n          trubar collect -s ../Orange new.jaml\n          trubar merge -u Obsolete.jaml si.jaml new.jaml\n          trubar missing -o Missing.jaml new.jaml\n          if [ ! -s Missing.jaml ]\n          then\n              rm Missing.jaml\n          fi\n\n      - name: Check translations\n        run: |\n          cd i18n\n          for fn in Obsolete Missing\n          do\n            if [ -f $fn.jaml ]\n            then\n                echo \"::group::$fn translations\"\n                cat $fn.jaml\n                echo \"::endgroup::\"\n            fi\n          done\n          echo \"-------------------------------\"\n          trubar stat new.jaml\n          echo \"-------------------------------\"\n          if [ -f Missing.jaml ] || [ -f Obsolete.jaml ]\n          then\n              echo \"### Missing or obsolete translations\" >> $GITHUB_STEP_SUMMARY\n              echo \"::error::Missing or obsolete translations\"\n              echo \"Run 'trubar collect -s Orange i18n/si.jaml'\"\n              echo \"and see the changes in the message file, i18n/si.jaml\"\n              exit 1\n          else\n              echo \"### All translations are up to date\" >> $GITHUB_STEP_SUMMARY\n          fi\n", "logs": "\u001b[36;1m      cat $fn.jaml\u001b[0m\n\u001b[36;1m      echo \"::endgroup::\"\u001b[0m\n\u001b[36;1m  fi\u001b[0m\n\u001b[36;1mdone\u001b[0m\n\u001b[36;1mecho \"-------------------------------\"\u001b[0m\n\u001b[36;1mtrubar stat new.jaml\u001b[0m\n\u001b[36;1mecho \"-------------------------------\"\u001b[0m\n\u001b[36;1mif [ -f Missing.jaml ] || [ -f Obsolete.jaml ]\u001b[0m\n\u001b[36;1mthen\u001b[0m\n\u001b[36;1m    echo \"### Missing or obsolete translations\" >> $GITHUB_STEP_SUMMARY\u001b[0m\n\u001b[36;1m    echo \"::error::Missing or obsolete translations\"\u001b[0m\n\u001b[36;1m    echo \"Run 'trubar collect -s Orange i18n/si.jaml'\"\u001b[0m\n\u001b[36;1m    echo \"and see the changes in the message file, i18n/si.jaml\"\u001b[0m\n\u001b[36;1m    exit 1\u001b[0m\n\u001b[36;1melse\u001b[0m\n\u001b[36;1m    echo \"### All translations are up to date\" >> $GITHUB_STEP_SUMMARY\u001b[0m\n\u001b[36;1mfi\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##[group]Missing translations\ntests/sql/base.py:\n    class `DataBaseTest`:\n        def `_check_db`:\n            def `ensure_db`:\n                {} module is required for this database: null\n                Database is not running: null\n                No connection provided for {}: null\n                Unsupported database: null\n##[endgroup]\n-------------------------------\nTotal messages: 11238\n\nTranslated:       3711    33.0%\nKept unchanged:    331     2.9%\nProgrammatic:     7192    64.0%\nTotal completed: 11234   100.0%\n\nUntranslated:        4     0.0%\n-------------------------------\n##[error]Missing or obsolete translations\nRun 'trubar collect -s Orange i18n/si.jaml'\nand see the changes in the message file, i18n/si.jaml\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/Orange/tests/sql/base.py b/Orange/tests/sql/base.py\nindex 75b084b37..c396274bc 100644\n--- a/Orange/tests/sql/base.py\n+++ b/Orange/tests/sql/base.py\n@@ -340,22 +340,19 @@ class DataBaseTest:\n             i = db.find(\"<\")\n             db, ver = db[:i], db[i:]\n \n-        def ensure_db(db):\n-            if db in cls.db_conn:\n-                if not cls.db_conn[db].is_module:\n-                    raise unittest.SkipTest(\n-                        \"{} module is required for this database\".format(\n-                            cls.db_conn[db].module))\n-\n-                elif not cls.db_conn[db].is_active:\n-                    raise unittest.SkipTest(\"Database is not running\")\n-            else:\n-                if db in test_connections.keys():\n-                    raise unittest.SkipTest(\"No connection provided for {}\".format(db))\n-                else:\n-                    raise Exception(\"Unsupported database\")\n+        if db in cls.db_conn:\n+            if not cls.db_conn[db].is_module:\n+                raise unittest.SkipTest(\n+                    \"{} module is required for this database\".format(\n+                        cls.db_conn[db].module))\n \n-        ensure_db(db)\n+            elif not cls.db_conn[db].is_active:\n+                raise unittest.SkipTest(\"Database is not running\")\n+        else:\n+            if db in test_connections.keys():\n+                raise unittest.SkipTest(\"No connection provided for {}\".format(db))\n+            else:\n+                raise Exception(\"Unsupported database\")\n \n         if ver is not None:\n             if ver[0] == \">\" and cls.db_conn[db].version <= int(ver[1:]):\n"}

data/14.json

@@ -0,0 +1 @@
+{"head_branch": "kingmigdor/entitlements", "contributor": "kingmigdor", "sha_fail": "da9d790a9c6dccd49a8dc0766f8ecea1043f49b6", "sha_success": "57bb0eff511eb11062cba25ddc948329475aa0fc", "language": "Python", "repo_owner": "nextcord", "repo_name": "nextcord", "workflow_name": "Test docs", "workflow_filename": "docs.yml", "workflow_path": ".github/workflows/docs.yml", "workflow": "name: Test docs\n\non:\n  push:\n    branches:\n      - master\n  pull_request:\n\njobs:\n  docs:\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 -r requirements.txt -r docs/requirements.txt\n    - name: Compile docs\n      run: |\n        cd docs\n        make html\n", "logs": "No module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.BotMissingRole' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.MissingAnyRole' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.BotMissingAnyRole' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.NSFWChannelRequired' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.FlagError' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.BadFlagArgument' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.MissingFlagArgument' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.TooManyFlags' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.MissingRequiredFlag' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.ExtensionError' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.ExtensionAlreadyLoaded' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.ExtensionNotLoaded' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.NoEntryPointError' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.InvalidSetupArguments' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.ExtensionFailed' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.ExtensionNotFound' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import exception 'ext.commands.CommandRegistrationError' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import class 'ext.tasks.Loop' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\nWARNING: autodoc: failed to import function 'ext.tasks.loop' from module 'nextcord'; the following exception was raised:\nNo module named 'enums'\n\nlooking for now-outdated files... none found\npickling environment... done\nchecking consistency... done\npreparing documents... done\nwriting output... [  4%] api\n\nExtension error (attributetable):\nHandler <function process_attributetable at 0x7f1ef468c1f0> for event 'doctree-resolved' threw an exception (exception: No module named 'enums')\nmake: *** [Makefile:54: html] Error 2\n##[error]Process completed with exit code 2.\n", "diff": "diff --git a/nextcord/entitlement.py b/nextcord/entitlement.py\nindex 8e23694a..fa23219c 100644\n--- a/nextcord/entitlement.py\n+++ b/nextcord/entitlement.py\n@@ -5,11 +5,10 @@ from __future__ import annotations\n from datetime import datetime\n from typing import Optional\n \n-from enums import EntitlementType, SKUType\n-from flags import SKUFlags\n-from object import Object\n-from utils import parse_time\n-\n+from .enums import EntitlementType, SKUType\n+from .flags import SKUFlags\n+from .object import Object\n+from .utils import parse_time\n from .types.entitlement import SKU as SKUPayload, Entitlement as EntitlementPayload\n \n \n"}

data/15.json

@@ -0,0 +1 @@
+{"head_branch": "TrapDrap-nextcord-voice-recording", "contributor": "TrapDrap", "sha_fail": "c19fff9e1d8bdd2b0918d43774ee026132a957ff", "sha_success": "31ffa8d7929b4ad576359e07f0177653750b6408", "language": "Python", "repo_owner": "nextcord", "repo_name": "nextcord", "workflow_name": "Test docs", "workflow_filename": "docs.yml", "workflow_path": ".github/workflows/docs.yml", "workflow": "name: Test docs\n\non:\n  push:\n    branches:\n      - master\n  pull_request:\n\njobs:\n  docs:\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 -r requirements.txt -r docs/requirements.txt\n    - name: Compile docs\n      run: |\n        cd docs\n        make html\n", "logs": "  File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py\", line 127, in import_module\n    return _bootstrap._gcd_import(name[level:], package, level)\n  File \"<frozen importlib._bootstrap>\", line 1014, in _gcd_import\n  File \"<frozen importlib._bootstrap>\", line 991, in _find_and_load\n  File \"<frozen importlib._bootstrap>\", line 975, in _find_and_load_unlocked\n  File \"<frozen importlib._bootstrap>\", line 671, in _load_unlocked\n  File \"<frozen importlib._bootstrap_external>\", line 843, in exec_module\n  File \"<frozen importlib._bootstrap>\", line 219, in _call_with_frames_removed\n  File \"/home/runner/work/nextcord/nextcord/nextcord/__init__.py\", line 23, in <module>\n    from . import abc, opus, ui, utils\n  File \"/home/runner/work/nextcord/nextcord/nextcord/abc.py\", line 40, in <module>\n    from .voice_recording import RecorderClient\n  File \"/home/runner/work/nextcord/nextcord/nextcord/voice_recording/__init__.py\", line 2, in <module>\n    from .core import *\n  File \"/home/runner/work/nextcord/nextcord/nextcord/voice_recording/core.py\", line 346, in <module>\n    class RecorderClient(VoiceClient):\nNameError: name 'VoiceClient' is not defined\n\nWARNING: autodoc: failed to import function 'ext.tasks.loop' from module 'nextcord'; the following exception was raised:\nTraceback (most recent call last):\n  File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/sphinx/ext/autodoc/importer.py\", line 58, in import_module\n    return importlib.import_module(modname)\n  File \"/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/importlib/__init__.py\", line 127, in import_module\n    return _bootstrap._gcd_import(name[level:], package, level)\n  File \"<frozen importlib._bootstrap>\", line 1014, in _gcd_import\n  File \"<frozen importlib._bootstrap>\", line 991, in _find_and_load\n  File \"<frozen importlib._bootstrap>\", line 975, in _find_and_load_unlocked\n  File \"<frozen importlib._bootstrap>\", line 671, in _load_unlocked\n  File \"<frozen importlib._bootstrap_external>\", line 843, in exec_module\n  File \"<frozen importlib._bootstrap>\", line 219, in _call_with_frames_removed\n  File \"/home/runner/work/nextcord/nextcord/nextcord/__init__.py\", line 23, in <module>\n    from . import abc, opus, ui, utils\n  File \"/home/runner/work/nextcord/nextcord/nextcord/abc.py\", line 40, in <module>\n    from .voice_recording import RecorderClient\n  File \"/home/runner/work/nextcord/nextcord/nextcord/voice_recording/__init__.py\", line 2, in <module>\n    from .core import *\n  File \"/home/runner/work/nextcord/nextcord/nextcord/voice_recording/core.py\", line 346, in <module>\n    class RecorderClient(VoiceClient):\nNameError: name 'VoiceClient' is not defined\n\nlooking for now-outdated files... none found\npickling environment... done\nchecking consistency... done\npreparing documents... done\nwriting output... [  4%] api\n\nExtension error (attributetable):\nHandler <function process_attributetable at 0x7efdfc0061f0> for event 'doctree-resolved' threw an exception (exception: name 'VoiceClient' is not defined)\nmake: *** [Makefile:54: html] Error 2\n##[error]Process completed with exit code 2.\n", "diff": "diff --git a/nextcord/voice_recording/core.py b/nextcord/voice_recording/core.py\nindex 7d7a8c45..884946dc 100644\n--- a/nextcord/voice_recording/core.py\n+++ b/nextcord/voice_recording/core.py\n@@ -13,6 +13,7 @@ from threading import Thread\n from time import perf_counter, sleep, time as clock_timestamp\n from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, Optional, Union\n \n+import nextcord.voice_client as nc_vc\n from nextcord.utils import MISSING\n \n from . import decrypter\n@@ -22,7 +23,7 @@ from .opus import DecoderThread\n from .shared import *\n \n if TYPE_CHECKING:\n-    from nextcord import Member, User, VoiceClient\n+    from nextcord import Member, User\n     from nextcord.abc import Connectable\n     from nextcord.client import Client\n \n@@ -343,7 +344,7 @@ class OpusFrame:\n     user_id: Optional[int] = None\n \n \n-class RecorderClient(VoiceClient):\n+class RecorderClient(nc_vc.VoiceClient):\n     \"\"\"Represents a Discord voice connection that is able to receive audio packets.\n \n     This is returned when passing `recordable=True` when connecting to a voice channel.\n"}

data/16.json

@@ -0,0 +1 @@
+{"head_branch": "dev_min_discrete", "contributor": "Dhruvanshu-Joshi", "sha_fail": "7eb1f38279a6064244259157b3a591dd23a9efca", "sha_success": "c885c321111aa171cb7e9db056d0824b70b35d66", "language": "Python", "repo_owner": "pymc-devs", "repo_name": "pymc", "workflow_name": "pre-commit", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "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@v4\n      with:\n        python-version: \"3.9\"  # Run pre-commit on oldest supported Python version\n    - uses: pre-commit/[email protected]\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": "  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[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/pymc/pymc/pymc/logprob/transforms.py\nSkipped 1 files\n\npyupgrade............................................................................\u001b[42mPassed\u001b[m\nblack................................................................................\u001b[42mPassed\u001b[m\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/pymc/logprob/transforms.py b/pymc/logprob/transforms.py\u001b[m\n\u001b[1mindex e9092ea..a3f0a98 100644\u001b[m\n\u001b[1m--- a/pymc/logprob/transforms.py\u001b[m\n\u001b[1m+++ b/pymc/logprob/transforms.py\u001b[m\n\u001b[36m@@ -127,7 +127,11 @@\u001b[m \u001b[mfrom pymc.logprob.rewriting import (\u001b[m\n     cleanup_ir_rewrites_db,\u001b[m\n     measurable_ir_rewrites_db,\u001b[m\n )\u001b[m\n\u001b[31m-from pymc.logprob.utils import CheckParameterValue, check_negation, check_potential_measurability\u001b[m\n\u001b[32m+\u001b[m\u001b[32mfrom pymc.logprob.utils import (\u001b[m\n\u001b[32m+\u001b[m\u001b[32m    CheckParameterValue,\u001b[m\n\u001b[32m+\u001b[m\u001b[32m    check_negation,\u001b[m\n\u001b[32m+\u001b[m\u001b[32m    check_potential_measurability,\u001b[m\n\u001b[32m+\u001b[m\u001b[32m)\u001b[m\n \u001b[m\n \u001b[m\n class TransformedVariable(Op):\u001b[m\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/pymc/logprob/order.py b/pymc/logprob/order.py\nindex 42e53e24..0433dece 100644\n--- a/pymc/logprob/order.py\n+++ b/pymc/logprob/order.py\n@@ -270,11 +270,12 @@ def max_neg_logprob_discrete(op, values, base_rv, **kwargs):\n         \\ln(P_{(n)}(x)) = \\ln((1 - F(x - 1))^n - (1 - F(x))^n)\n     where $P_{(n)}(x)$ represents the p.m.f of the maximum statistic and $F(x)$ represents the c.d.f of the i.i.d. variables.\n     \"\"\"\n+\n     (value,) = values\n \n     # The cdf of a negative variable is the survival at the negated value\n     logcdf = pt.log1mexp(_logcdf_helper(base_rv, -value))\n-    logcdf_prev = pt.log1mexp(_logcdf_helper(base_rv, -(value - 1)))\n+    logcdf_prev = pt.log1mexp(_logcdf_helper(base_rv, -(value + 1)))\n \n     [n] = constant_fold([base_rv.size])\n \n@@ -282,7 +283,7 @@ def max_neg_logprob_discrete(op, values, base_rv, **kwargs):\n     logprob = pt.where(\n         pt.and_(pt.eq(logcdf, -pt.inf), pt.eq(logcdf_prev, -pt.inf)),\n         -pt.inf,\n-        logdiffexp(n * logcdf, n * logcdf_prev),\n+        logdiffexp(n * logcdf_prev, n * logcdf),\n     )\n \n     return logprob\ndiff --git a/pymc/logprob/transforms.py b/pymc/logprob/transforms.py\nindex e9092ea6..c73095fa 100644\n--- a/pymc/logprob/transforms.py\n+++ b/pymc/logprob/transforms.py\n@@ -127,7 +127,11 @@ from pymc.logprob.rewriting import (\n     cleanup_ir_rewrites_db,\n     measurable_ir_rewrites_db,\n )\n-from pymc.logprob.utils import CheckParameterValue, check_negation, check_potential_measurability\n+from pymc.logprob.utils import (\n+    CheckParameterValue,\n+    check_negation,\n+    check_potential_measurability,\n+)\n \n \n class TransformedVariable(Op):\n@@ -469,6 +473,10 @@ def measurable_transform_logcdf(op: MeasurableTransform, value, *inputs, **kwarg\n     other_inputs = list(inputs)\n     measurable_input = other_inputs.pop(op.measurable_input_idx)\n \n+    # Do not apply rewrite to discrete variables\n+    if measurable_input.type.dtype.startswith(\"int\"):\n+        return NotImplementedError\n+\n     backward_value = op.transform_elemwise.backward(value, *other_inputs)\n \n     # Fail if transformation is not injective\n@@ -513,6 +521,10 @@ def measurable_transform_icdf(op: MeasurableTransform, value, *inputs, **kwargs)\n     other_inputs = list(inputs)\n     measurable_input = other_inputs.pop(op.measurable_input_idx)\n \n+    # Do not apply rewrite to discrete variables\n+    if measurable_input.type.dtype.startswith(\"int\"):\n+        return NotImplementedError\n+\n     if isinstance(op.scalar_op, MONOTONICALLY_INCREASING_OPS):\n         pass\n     elif isinstance(op.scalar_op, MONOTONICALLY_DECREASING_OPS):\n@@ -672,8 +684,8 @@ def find_measurable_transforms(fgraph: FunctionGraph, node: Node) -> Optional[Li\n \n     # Do not apply rewrite to discrete variables\n     if measurable_input.type.dtype.startswith(\"int\"):\n-        if check_negation(node.op.scalar_op, node.inputs[0]) is False and not isinstance(\n-            node.op.scalar_op, Add\n+        if not (\n+            check_negation(node.op.scalar_op, node.inputs[0]) or isinstance(node.op.scalar_op, Add)\n         ):\n             return None\n \ndiff --git a/tests/logprob/test_order.py b/tests/logprob/test_order.py\nindex 6b7c6458..a7bbc97f 100644\n--- a/tests/logprob/test_order.py\n+++ b/tests/logprob/test_order.py\n@@ -37,6 +37,7 @@\n import re\n \n import numpy as np\n+import pytensor\n import pytensor.tensor as pt\n import pytest\n import scipy.stats as sp\n@@ -258,12 +259,7 @@ def test_max_discrete(mu, size, value, axis):\n \n @pytest.mark.parametrize(\n     \"mu, n, test_value, axis\",\n-    [\n-        (2, 3, 1, -1),\n-        (2, 3, 1, 0),\n-        (1, 2, 2, None),\n-        (0, 4, 0, 0),\n-    ],\n+    [(2, 3, 1, -1), (2, 3, 1, 0), (1, 2, 2, None), (0, 4, 0, 0)],\n )\n def test_min_discrete(mu, n, test_value, axis):\n     x = pm.Poisson.dist(name=\"x\", mu=mu, size=(n,))\n@@ -271,9 +267,9 @@ def test_min_discrete(mu, n, test_value, axis):\n     x_min_value = pt.scalar(\"x_min_value\")\n     x_min_logprob = logp(x_min, x_min_value)\n \n-    sf_before = 1 - sp.poisson(mu).cdf(test_value)\n-    # TODO: Confirm it should be test_value + 1??\n-    sf = 1 - sp.poisson(mu).cdf(test_value + 1)\n+    sf_before = 1 - sp.poisson(mu).cdf(test_value - 1)\n+    sf = 1 - sp.poisson(mu).cdf(test_value)\n+\n     expected_logp = np.log(sf_before**n - sf**n)\n \n     np.testing.assert_allclose(\n@@ -281,3 +277,19 @@ def test_min_discrete(mu, n, test_value, axis):\n         expected_logp,\n         rtol=1e-06,\n     )\n+\n+\n+def test_min_max_bernoulli():\n+    p = 0.7\n+    q = 1 - p\n+    n = 3\n+    x = pm.Bernoulli.dist(p=p, shape=(n,))\n+    value = pt.scalar(\"value\", dtype=int)\n+\n+    max_logp_fn = pytensor.function([value], pm.logp(pt.max(x), value))\n+    np.testing.assert_allclose(max_logp_fn(0), np.log(q**n))\n+    np.testing.assert_allclose(max_logp_fn(1), np.log(1 - q**n))\n+\n+    min_logp_fn = pytensor.function([value], pm.logp(pt.min(x), value))\n+    np.testing.assert_allclose(min_logp_fn(1), np.log(p**n))\n+    np.testing.assert_allclose(min_logp_fn(0), np.log(1 - p**n))\ndiff --git a/tests/logprob/test_transforms.py b/tests/logprob/test_transforms.py\nindex 32924a37..ea6a0f4d 100644\n--- a/tests/logprob/test_transforms.py\n+++ b/tests/logprob/test_transforms.py\n@@ -47,6 +47,8 @@ from pytensor.graph.basic import equal_computations\n from pytensor.graph.fg import FunctionGraph\n from pytensor.scan import scan\n \n+import pymc as pm\n+\n from pymc.distributions.continuous import Cauchy\n from pymc.distributions.transforms import _default_transform, log, logodds\n from pymc.logprob.abstract import MeasurableVariable, _logprob\n@@ -1262,3 +1264,14 @@ def test_invalid_broadcasted_transform_rv_fails():\n     # This logp derivation should fail or count only once the values that are broadcasted\n     logprob = logp(y_rv, y_vv)\n     assert logprob.eval({y_vv: [0, 0, 0, 0], loc: [0, 0, 0, 0]}).shape == ()\n+\n+\n+def test_discrete_measurable_cdf_icdf():\n+    p = 0.7\n+    rv = -pm.Bernoulli.dist(p=p)\n+\n+    # A negated Bernoulli has pmf {p if x == -1; 1-p if x == 0; 0 otherwise}\n+    assert pm.logp(rv, -2).eval() == -np.inf  # Correct\n+    assert pm.logp(rv, -1).eval() == np.log(p)  # Correct\n+    assert pm.logp(rv, 0).eval() == np.log(1 - p)  # Correct\n+    assert pm.logp(rv, 1).eval() == -np.inf  # Correct\n"}

data/17.json

@@ -0,0 +1 @@
+{"head_branch": "master", "contributor": "jelmer", "sha_fail": "a36e3c039fb1cd09ddd1729531b1cf9fb99924ab", "sha_success": "cd0990259901351400deda93b529ec601cfa52e8", "language": "Python", "repo_owner": "jelmer", "repo_name": "dulwich", "workflow_name": "Python tests", "workflow_filename": "pythontest.yml", "workflow_path": ".github/workflows/pythontest.yml", "workflow": "name: Python tests\n\non:\n  push:\n  pull_request:\n  schedule:\n    - cron: \"0 6 * * *\" # Daily 6AM UTC build\n\njobs:\n  test:\n    runs-on: ${{ matrix.os }}\n    strategy:\n      matrix:\n        os: [ubuntu-latest, macos-latest, windows-latest]\n        python-version:\n          [\"3.7\", \"3.8\", \"3.9\", \"3.10\", \"3.11\"]\n      fail-fast: false\n\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 native dependencies (Ubuntu)\n        run: sudo apt-get update && sudo apt-get install -y libgpgme-dev libgpg-error-dev\n        if: \"matrix.os == 'ubuntu-latest'\"\n      - name: Install native dependencies (MacOS)\n        run: brew install swig gpgme\n        if: \"matrix.os == 'macos-latest'\"\n      - name: Install dependencies\n        run: |\n          python -m pip install --upgrade pip\n          pip install --upgrade \".[fastimport,paramiko,https]\"\n      - name: Install gpg on supported platforms\n        run: pip install --upgrade \".[pgp]\"\n        if: \"matrix.os != 'windows-latest' && matrix.python-version != 'pypy3'\"\n      - name: Style checks\n        run: |\n          pip install --upgrade flake8\n          python -m flake8\n      - name: Typing checks\n        run: |\n          pip install --upgrade mypy types-paramiko types-requests\n          python -m mypy dulwich\n        if: \"matrix.python-version != 'pypy3'\"\n      - name: Build\n        run: |\n          python setup.py build_ext -i\n      - name: codespell\n        run: |\n          pip install --upgrade codespell\n          codespell --config .codespellrc .\n      - name: Coverage test suite run\n        run: |\n          pip install --upgrade coverage\n          python -m coverage run -p -m unittest dulwich.tests.test_suite\n", "logs": "  DeprecationWarning)\n....................................ss.s............................................................counting objects: 2, done.\ncopying pack entries: 0/2\ncopying pack entries: 1/2\ncopied 1 pack entries\ngenerating index: 0/2\ngenerating index: 1/2\n127.0.0.1 - - [04/Oct/2023 06:12:31] \"GET /info/refs?service=git-upload-pack HTTP/1.1\" 200 285\n127.0.0.1 - - [04/Oct/2023 06:12:33] \"POST /git-upload-pack HTTP/1.1\" 200 253\n.Push to http://localhost:50010 successful.\nRef refs/heads/master updated\n127.0.0.1 - - [04/Oct/2023 06:12:36] \"GET /info/refs?service=git-receive-pack HTTP/1.1\" 200 195\n127.0.0.1 - - [04/Oct/2023 06:12:38] \"POST /git-receive-pack HTTP/1.1\" 200 52\n..............................ss...........................................................................................s.........................................................s............................................ss....................s..ssss.............................................................................x..................................................s......................................................x..E.......s..s...ss........................ssssssssssssssssssssssssssss.....ssssssssssssssssssssssssssssssssssssssssssssssssssssssss.....sssssssssssssssssssssssssssssssssssssssss\n======================================================================\nERROR: test_incremental_fetch_pack (dulwich.tests.compat.test_client.DulwichTCPClientTest)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"D:\\a\\dulwich\\dulwich\\dulwich\\protocol.py\", line 213, in read_pkt_line\n    sizestr = read(4)\n  File \"C:\\hostedtoolcache\\windows\\Python\\3.7.9\\x64\\lib\\socket.py\", line 589, in readinto\n    return self._sock.recv_into(b)\nConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"D:\\a\\dulwich\\dulwich\\dulwich\\tests\\compat\\test_client.py\", line 279, in test_incremental_fetch_pack\n    self.test_fetch_pack()\n  File \"D:\\a\\dulwich\\dulwich\\dulwich\\tests\\compat\\test_client.py\", line 227, in test_fetch_pack\n    result = c.fetch(self._build_path(\"/server_new.export\"), dest)\n  File \"D:\\a\\dulwich\\dulwich\\dulwich\\client.py\", line 822, in fetch\n    depth=depth,\n  File \"D:\\a\\dulwich\\dulwich\\dulwich\\client.py\", line 1169, in fetch_pack\n    progress,\n  File \"D:\\a\\dulwich\\dulwich\\dulwich\\client.py\", line 606, in _handle_upload_pack_tail\n    for chan, data in _read_side_band64k_data(proto.read_pkt_seq()):\n  File \"D:\\a\\dulwich\\dulwich\\dulwich\\client.py\", line 497, in _read_side_band64k_data\n    for pkt in pkt_seq:\n  File \"D:\\a\\dulwich\\dulwich\\dulwich\\protocol.py\", line 275, in read_pkt_seq\n    pkt = self.read_pkt_line()\n  File \"D:\\a\\dulwich\\dulwich\\dulwich\\protocol.py\", line 225, in read_pkt_line\n    raise HangupException() from exc\ndulwich.errors.HangupException: The remote server unexpectedly closed the connection.\n\n----------------------------------------------------------------------\nRan 1503 tests in 200.654s\n\nFAILED (errors=1, skipped=151, expected failures=2)\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/dulwich/config.py b/dulwich/config.py\nindex 1a32cba7..2bd10877 100644\n--- a/dulwich/config.py\n+++ b/dulwich/config.py\n@@ -780,9 +780,15 @@ def parse_submodules(config: ConfigFile) -> Iterator[Tuple[bytes, bytes, bytes]]\n     for section in config.keys():\n         section_kind, section_name = section\n         if section_kind == b\"submodule\":\n-            sm_path = config.get(section, b\"path\")\n-            sm_url = config.get(section, b\"url\")\n-            yield (sm_path, sm_url, section_name)\n+            try:\n+                sm_path = config.get(section, b\"path\")\n+                sm_url = config.get(section, b\"url\")\n+                yield (sm_path, sm_url, section_name)\n+            except KeyError:\n+                # If either path or url is missing, just ignore this\n+                # submodule entry and move on to the next one. This is\n+                # how git itself handles malformed .gitmodule entries.\n+                pass\n \n \n def iter_instead_of(config: Config, push: bool = False) -> Iterable[Tuple[str, str]]:\ndiff --git a/dulwich/tests/test_config.py b/dulwich/tests/test_config.py\nindex bae048eb..a0504779 100644\n--- a/dulwich/tests/test_config.py\n+++ b/dulwich/tests/test_config.py\n@@ -423,6 +423,31 @@ class SubmodulesTests(TestCase):\n [submodule \"core/lib\"]\n \\tpath = core/lib\n \\turl = https://github.com/phhusson/QuasselC.git\n+\"\"\"\n+            )\n+        )\n+        got = list(parse_submodules(cf))\n+        self.assertEqual(\n+            [\n+                (\n+                    b\"core/lib\",\n+                    b\"https://github.com/phhusson/QuasselC.git\",\n+                    b\"core/lib\",\n+                )\n+            ],\n+            got,\n+        )\n+\n+    def testMalformedSubmodules(self):\n+        cf = ConfigFile.from_file(\n+            BytesIO(\n+                b\"\"\"\\\n+[submodule \"core/lib\"]\n+\\tpath = core/lib\n+\\turl = https://github.com/phhusson/QuasselC.git\n+\n+[submodule \"dulwich\"]\n+\\turl = https://github.com/jelmer/dulwich\n \"\"\"\n             )\n         )\n"}

data/18.json

@@ -0,0 +1 @@
+{"head_branch": "fix-percent-true-2", "contributor": "alteryx", "sha_fail": "f0a5812487ba8e8cfe9cd5eb28cb71977619259f", "sha_success": "b0630043ffac825c46d3a99e1b1ce4d86731839f", "language": "Python", "repo_owner": "alteryx", "repo_name": "featuretools", "workflow_name": "Release Notes Updated", "workflow_filename": "release_notes_updated.yaml", "workflow_path": ".github/workflows/release_notes_updated.yaml", "workflow": "name: Release Notes Updated\non:\n  pull_request:\n    types: [opened, synchronize]\njobs:\n  release_notes_updated:\n    name: release notes updated\n    runs-on: ubuntu-latest\n    steps:\n      - name: Check for development branch\n        id: branch\n        shell: python\n        run: |\n          from re import compile\n          main = '^main$'\n          release = '^release_v\\d+\\.\\d+\\.\\d+$'\n          backport = '^backport_v\\d+\\.\\d+\\.\\d+$'\n          dep_update = '^latest-dep-update-[a-f0-9]{7}$'\n          min_dep_update = '^min-dep-update-[a-f0-9]{7}$'\n          regex = main, release, backport, dep_update, min_dep_update\n          patterns = list(map(compile, regex))\n          ref = \"${{ github.event.pull_request.head.ref }}\"\n          is_dev = not any(pattern.match(ref) for pattern in patterns)\n          print('::set-output name=is_dev::' + str(is_dev))\n      - if: ${{ steps.branch.outputs.is_dev == 'true' }}\n        name: Checkout repository\n        uses: actions/checkout@v3\n        with:\n          ref: ${{ github.event.pull_request.head.ref }}\n          repository: ${{ github.event.pull_request.head.repo.full_name }}\n      - if: ${{ steps.branch.outputs.is_dev == 'true' }}\n        name: Check if release notes were updated\n        run: cat docs/source/release_notes.rst | grep \":pr:\\`${{ github.event.number }}\\`\"\n        \n", "logs": "##[group]Run cat docs/source/release_notes.rst | grep \":pr:\\`2627\\`\"\n\u001b[36;1mcat docs/source/release_notes.rst | grep \":pr:\\`2627\\`\"\u001b[0m\nshell: /usr/bin/bash -e {0}\n##[endgroup]\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/docs/source/release_notes.rst b/docs/source/release_notes.rst\nindex 79aa960e..8d0b1686 100644\n--- a/docs/source/release_notes.rst\n+++ b/docs/source/release_notes.rst\n@@ -7,7 +7,7 @@ Future Release\n ==============\n     * Enhancements\n     * Fixes\n-        * Fix bug with default value in ``PercentTrue`` primitive (:pr:`2626`)\n+        * Fix bug with default value in ``PercentTrue`` primitive (:pr:`2627`)\n     * Changes\n         * Refactor ``featuretools/tests/primitive_tests/utils.py`` to leverage list comprehensions for improved Pythonic quality (:pr:`2607`)\n         * Refactor ``can_stack_primitive_on_inputs`` (:pr:`2522`)\n"}

data/2.json

@@ -0,0 +1 @@
+{"head_branch": "cumulative", "contributor": "max-sixty", "sha_fail": "0ef192072cb4433dbc4524dee1041eadc20d086a", "sha_success": "bc99a661d07d7a33a6f95db78e9fdbfa22939c88", "language": "Python", "repo_owner": "pydata", "repo_name": "xarray", "workflow_name": "CI Additional", "workflow_filename": "ci-additional.yaml", "workflow_path": ".github/workflows/ci-additional.yaml", "workflow": "name: CI Additional\non:\n  push:\n    branches:\n      - \"main\"\n  pull_request:\n    branches:\n      - \"main\"\n  workflow_dispatch: # allows you to trigger manually\n\nconcurrency:\n  group: ${{ github.workflow }}-${{ github.ref }}\n  cancel-in-progress: true\n\njobs:\n  detect-ci-trigger:\n    name: detect ci trigger\n    runs-on: ubuntu-latest\n    if: |\n      github.repository == 'pydata/xarray'\n      && (github.event_name == 'push' || github.event_name == 'pull_request')\n    outputs:\n      triggered: ${{ steps.detect-trigger.outputs.trigger-found }}\n    steps:\n      - uses: actions/checkout@v4\n        with:\n          fetch-depth: 2\n      - uses: xarray-contrib/ci-trigger@v1\n        id: detect-trigger\n        with:\n          keyword: \"[skip-ci]\"\n\n  doctest:\n    name: Doctests\n    runs-on: \"ubuntu-latest\"\n    needs: detect-ci-trigger\n    if: needs.detect-ci-trigger.outputs.triggered == 'false'\n    defaults:\n      run:\n        shell: bash -l {0}\n\n    env:\n      CONDA_ENV_FILE: ci/requirements/environment.yml\n      PYTHON_VERSION: \"3.11\"\n\n    steps:\n      - uses: actions/checkout@v4\n        with:\n          fetch-depth: 0 # Fetch all history for all branches and tags.\n\n      - name: set environment variables\n        run: |\n          echo \"TODAY=$(date  +'%Y-%m-%d')\" >> $GITHUB_ENV\n\n      - name: Setup micromamba\n        uses: mamba-org/setup-micromamba@v1\n        with:\n          environment-file: ${{env.CONDA_ENV_FILE}}\n          environment-name: xarray-tests\n          create-args: >-\n            python=${{env.PYTHON_VERSION}}\n            conda\n          cache-environment: true\n          cache-environment-key: \"${{runner.os}}-${{runner.arch}}-py${{env.PYTHON_VERSION}}-${{env.TODAY}}-${{hashFiles(env.CONDA_ENV_FILE)}}\"\n\n      - name: Install xarray\n        run: |\n          python -m pip install --no-deps -e .\n      - name: Version info\n        run: |\n          conda info -a\n          conda list\n          python xarray/util/print_versions.py\n      - name: Run doctests\n        run: |\n          # Raise an error if there are warnings in the doctests, with `-Werror`.\n          # This is a trial; if it presents an problem, feel free to remove.\n          # See https://github.com/pydata/xarray/issues/7164 for more info.\n          python -m pytest --doctest-modules xarray --ignore xarray/tests -Werror\n\n  mypy:\n    name: Mypy\n    runs-on: \"ubuntu-latest\"\n    needs: detect-ci-trigger\n    defaults:\n      run:\n        shell: bash -l {0}\n    env:\n      CONDA_ENV_FILE: ci/requirements/environment.yml\n      PYTHON_VERSION: \"3.11\"\n\n    steps:\n      - uses: actions/checkout@v4\n        with:\n          fetch-depth: 0 # Fetch all history for all branches and tags.\n\n      - name: set environment variables\n        run: |\n          echo \"TODAY=$(date +'%Y-%m-%d')\" >> $GITHUB_ENV\n      - name: Setup micromamba\n        uses: mamba-org/setup-micromamba@v1\n        with:\n          environment-file: ${{env.CONDA_ENV_FILE}}\n          environment-name: xarray-tests\n          create-args: >-\n            python=${{env.PYTHON_VERSION}}\n            conda\n          cache-environment: true\n          cache-environment-key: \"${{runner.os}}-${{runner.arch}}-py${{env.PYTHON_VERSION}}-${{env.TODAY}}-${{hashFiles(env.CONDA_ENV_FILE)}}\"\n      - name: Install xarray\n        run: |\n          python -m pip install --no-deps -e .\n      - name: Version info\n        run: |\n          conda info -a\n          conda list\n          python xarray/util/print_versions.py\n      - name: Install mypy\n        run: |\n          python -m pip install \"mypy<1.8\" --force-reinstall\n\n      - name: Run mypy\n        run: |\n          python -m mypy --install-types --non-interactive --cobertura-xml-report mypy_report xarray/\n\n      - name: Upload mypy coverage to Codecov\n        uses: codecov/[email protected]\n        with:\n          file: mypy_report/cobertura.xml\n          flags: mypy\n          env_vars: PYTHON_VERSION\n          name: codecov-umbrella\n          fail_ci_if_error: false\n\n  mypy39:\n    name: Mypy 3.9\n    runs-on: \"ubuntu-latest\"\n    needs: detect-ci-trigger\n    defaults:\n      run:\n        shell: bash -l {0}\n    env:\n      CONDA_ENV_FILE: ci/requirements/environment.yml\n      PYTHON_VERSION: \"3.9\"\n\n    steps:\n      - uses: actions/checkout@v4\n        with:\n          fetch-depth: 0 # Fetch all history for all branches and tags.\n\n      - name: set environment variables\n        run: |\n          echo \"TODAY=$(date +'%Y-%m-%d')\" >> $GITHUB_ENV\n      - name: Setup micromamba\n        uses: mamba-org/setup-micromamba@v1\n        with:\n          environment-file: ${{env.CONDA_ENV_FILE}}\n          environment-name: xarray-tests\n          create-args: >-\n            python=${{env.PYTHON_VERSION}}\n            conda\n          cache-environment: true\n          cache-environment-key: \"${{runner.os}}-${{runner.arch}}-py${{env.PYTHON_VERSION}}-${{env.TODAY}}-${{hashFiles(env.CONDA_ENV_FILE)}}\"\n      - name: Install xarray\n        run: |\n          python -m pip install --no-deps -e .\n      - name: Version info\n        run: |\n          conda info -a\n          conda list\n          python xarray/util/print_versions.py\n      - name: Install mypy\n        run: |\n          python -m pip install \"mypy<1.8\" --force-reinstall\n\n      - name: Run mypy\n        run: |\n          python -m mypy --install-types --non-interactive --cobertura-xml-report mypy_report xarray/\n\n      - name: Upload mypy coverage to Codecov\n        uses: codecov/[email protected]\n        with:\n          file: mypy_report/cobertura.xml\n          flags: mypy39\n          env_vars: PYTHON_VERSION\n          name: codecov-umbrella\n          fail_ci_if_error: false\n\n\n\n  pyright:\n    name: Pyright\n    runs-on: \"ubuntu-latest\"\n    needs: detect-ci-trigger\n    if: |\n        always()\n        && (\n            contains( github.event.pull_request.labels.*.name, 'run-pyright')\n        )\n    defaults:\n      run:\n        shell: bash -l {0}\n    env:\n      CONDA_ENV_FILE: ci/requirements/environment.yml\n      PYTHON_VERSION: \"3.10\"\n\n    steps:\n      - uses: actions/checkout@v4\n        with:\n          fetch-depth: 0 # Fetch all history for all branches and tags.\n\n      - name: set environment variables\n        run: |\n          echo \"TODAY=$(date +'%Y-%m-%d')\" >> $GITHUB_ENV\n      - name: Setup micromamba\n        uses: mamba-org/setup-micromamba@v1\n        with:\n          environment-file: ${{env.CONDA_ENV_FILE}}\n          environment-name: xarray-tests\n          create-args: >-\n            python=${{env.PYTHON_VERSION}}\n            conda\n          cache-environment: true\n          cache-environment-key: \"${{runner.os}}-${{runner.arch}}-py${{env.PYTHON_VERSION}}-${{env.TODAY}}-${{hashFiles(env.CONDA_ENV_FILE)}}\"\n      - name: Install xarray\n        run: |\n          python -m pip install --no-deps -e .\n      - name: Version info\n        run: |\n          conda info -a\n          conda list\n          python xarray/util/print_versions.py\n      - name: Install pyright\n        run: |\n          python -m pip install pyright --force-reinstall\n\n      - name: Run pyright\n        run: |\n          python -m pyright xarray/\n\n      - name: Upload pyright coverage to Codecov\n        uses: codecov/[email protected]\n        with:\n          file: pyright_report/cobertura.xml\n          flags: pyright\n          env_vars: PYTHON_VERSION\n          name: codecov-umbrella\n          fail_ci_if_error: false\n\n  pyright39:\n    name: Pyright 3.9\n    runs-on: \"ubuntu-latest\"\n    needs: detect-ci-trigger\n    if: |\n        always()\n        && (\n            contains( github.event.pull_request.labels.*.name, 'run-pyright')\n        )\n    defaults:\n      run:\n        shell: bash -l {0}\n    env:\n      CONDA_ENV_FILE: ci/requirements/environment.yml\n      PYTHON_VERSION: \"3.9\"\n\n    steps:\n      - uses: actions/checkout@v4\n        with:\n          fetch-depth: 0 # Fetch all history for all branches and tags.\n\n      - name: set environment variables\n        run: |\n          echo \"TODAY=$(date +'%Y-%m-%d')\" >> $GITHUB_ENV\n      - name: Setup micromamba\n        uses: mamba-org/setup-micromamba@v1\n        with:\n          environment-file: ${{env.CONDA_ENV_FILE}}\n          environment-name: xarray-tests\n          create-args: >-\n            python=${{env.PYTHON_VERSION}}\n            conda\n          cache-environment: true\n          cache-environment-key: \"${{runner.os}}-${{runner.arch}}-py${{env.PYTHON_VERSION}}-${{env.TODAY}}-${{hashFiles(env.CONDA_ENV_FILE)}}\"\n      - name: Install xarray\n        run: |\n          python -m pip install --no-deps -e .\n      - name: Version info\n        run: |\n          conda info -a\n          conda list\n          python xarray/util/print_versions.py\n      - name: Install pyright\n        run: |\n          python -m pip install pyright --force-reinstall\n\n      - name: Run pyright\n        run: |\n          python -m pyright xarray/\n\n      - name: Upload pyright coverage to Codecov\n        uses: codecov/[email protected]\n        with:\n          file: pyright_report/cobertura.xml\n          flags: pyright39\n          env_vars: PYTHON_VERSION\n          name: codecov-umbrella\n          fail_ci_if_error: false\n\n\n\n  min-version-policy:\n    name: Minimum Version Policy\n    runs-on: \"ubuntu-latest\"\n    needs: detect-ci-trigger\n    if: needs.detect-ci-trigger.outputs.triggered == 'false'\n    defaults:\n      run:\n        shell: bash -l {0}\n\n    strategy:\n      matrix:\n        environment-file: [\"bare-minimum\", \"min-all-deps\"]\n      fail-fast: false\n\n    steps:\n      - uses: actions/checkout@v4\n        with:\n          fetch-depth: 0 # Fetch all history for all branches and tags.\n\n      - name: Setup micromamba\n        uses: mamba-org/setup-micromamba@v1\n        with:\n          environment-name: xarray-tests\n          create-args: >-\n            python=3.11\n            pyyaml\n            conda\n            python-dateutil\n\n      - name: minimum versions policy\n        run: |\n          python ci/min_deps_check.py ci/requirements/${{ matrix.environment-file }}.yml\n", "logs": "xarray/core/combine.py ..                                                [ 42%]\nxarray/core/common.py ...........                                        [ 45%]\nxarray/core/computation.py ......                                        [ 47%]\nxarray/core/concat.py .                                                  [ 48%]\nxarray/core/coordinates.py ..                                            [ 48%]\nxarray/core/dataarray.py .........F..................................... [ 64%]\n........                                                                 [ 67%]\nxarray/core/dataset.py ............................................      [ 82%]\nxarray/core/extensions.py .                                              [ 82%]\nxarray/core/groupby.py .                                                 [ 82%]\nxarray/core/indexing.py ...                                              [ 83%]\nxarray/core/merge.py .                                                   [ 84%]\nxarray/core/options.py .                                                 [ 84%]\nxarray/core/parallel.py .                                                [ 84%]\nxarray/core/rolling.py ....                                              [ 86%]\nxarray/core/rolling_exp.py ......                                        [ 88%]\nxarray/core/utils.py .                                                   [ 88%]\nxarray/core/variable.py ...                                              [ 89%]\nxarray/namedarray/_aggregations.py .............                         [ 93%]\nxarray/namedarray/_array_api.py ....                                     [ 95%]\nxarray/namedarray/core.py .                                              [ 95%]\nxarray/plot/dataarray_plot.py .                                          [ 95%]\nxarray/plot/facetgrid.py ..                                              [ 96%]\nxarray/plot/utils.py ..........                                          [100%]\n\n=================================== FAILURES ===================================\n______________ [doctest] xarray.core.dataarray.DataArray.curvefit ______________\n6318                  0.04744543,  0.03602333,  0.03129354,  0.01074885,  0.01284436,\n6319                  0.00910995]])\n6320         Coordinates:\n6321           * x        (x) int64 0 1 2\n6322           * time     (time) int64 0 1 2 3 4 5 6 7 8 9 10\n6323 \n6324         Fit the exponential decay function to the data along the ``time`` dimension:\n6325 \n6326         >>> fit_result = da.curvefit(\"time\", exp_decay)\n6327         >>> fit_result[\"curvefit_coefficients\"].sel(\nDifferences (unified diff with -expected +actual):\n    @@ -1,4 +1,4 @@\n     <xarray.DataArray 'curvefit_coefficients' (x: 3)>\n    -array([1.05692035, 1.73549638, 2.9421577 ])\n    +array([1.05692036, 1.73549638, 2.94215771])\n     Coordinates:\n       * x        (x) int64 0 1 2\n\n/home/runner/work/xarray/xarray/xarray/core/dataarray.py:6327: DocTestFailure\n=========================== short test summary info ============================\nFAILED xarray/core/dataarray.py::xarray.core.dataarray.DataArray.curvefit\n=================== 1 failed, 297 passed in 64.59s (0:01:04) ===================\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/doc/api.rst b/doc/api.rst\nindex 24c3aee7..38844f22 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -182,6 +182,7 @@ Computation\n    Dataset.groupby_bins\n    Dataset.rolling\n    Dataset.rolling_exp\n+   Dataset.cumulative\n    Dataset.weighted\n    Dataset.coarsen\n    Dataset.resample\n@@ -378,6 +379,7 @@ Computation\n    DataArray.groupby_bins\n    DataArray.rolling\n    DataArray.rolling_exp\n+   DataArray.cumulative\n    DataArray.weighted\n    DataArray.coarsen\n    DataArray.resample\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 4533ea7d..7db2eeaa 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -6328,7 +6328,7 @@ class DataArray(\n         ...     param=\"time_constant\"\n         ... )  # doctest: +NUMBER\n         <xarray.DataArray 'curvefit_coefficients' (x: 3)>\n-        array([1.05692035, 1.73549638, 2.9421577 ])\n+        array([1.0569203, 1.7354963, 2.9421577])\n         Coordinates:\n           * x        (x) int64 0 1 2\n             param    <U13 'time_constant'\n@@ -6895,14 +6895,90 @@ class DataArray(\n \n         See Also\n         --------\n-        core.rolling.DataArrayRolling\n+        DataArray.cumulative\n         Dataset.rolling\n+        core.rolling.DataArrayRolling\n         \"\"\"\n         from xarray.core.rolling import DataArrayRolling\n \n         dim = either_dict_or_kwargs(dim, window_kwargs, \"rolling\")\n         return DataArrayRolling(self, dim, min_periods=min_periods, center=center)\n \n+    def cumulative(\n+        self,\n+        dim: str | Iterable[Hashable],\n+        min_periods: int | None = 1,\n+    ) -> DataArrayRolling:\n+        \"\"\"\n+        Rolling window object for DataArrays.\n+\n+        Parameters\n+        ----------\n+        dims : iterable of hashable\n+            The name(s) of the dimensions to create the cumulative window along\n+        min_periods : int or None, default: None\n+            Minimum number of observations in window required to have a value\n+            (otherwise result is NA). The default is 1 (note this is different\n+            from ``Rolling``, whose default is the size of the window).\n+\n+        Returns\n+        -------\n+        core.rolling.DataArrayRolling\n+\n+        Examples\n+        --------\n+        Create rolling seasonal average of monthly data e.g. DJF, JFM, ..., SON:\n+\n+        >>> da = xr.DataArray(\n+        ...     np.linspace(0, 11, num=12),\n+        ...     coords=[\n+        ...         pd.date_range(\n+        ...             \"1999-12-15\",\n+        ...             periods=12,\n+        ...             freq=pd.DateOffset(months=1),\n+        ...         )\n+        ...     ],\n+        ...     dims=\"time\",\n+        ... )\n+\n+        >>> da\n+        <xarray.DataArray (time: 12)>\n+        array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.])\n+        Coordinates:\n+          * time     (time) datetime64[ns] 1999-12-15 2000-01-15 ... 2000-11-15\n+\n+        >>> da.cumulative(\"time\").sum()\n+        <xarray.DataArray (time: 12)>\n+        array([ 0.,  1.,  3.,  6., 10., 15., 21., 28., 36., 45., 55., 66.])\n+        Coordinates:\n+          * time     (time) datetime64[ns] 1999-12-15 2000-01-15 ... 2000-11-15\n+\n+        See Also\n+        --------\n+        DataArray.rolling\n+        Dataset.cumulative\n+        core.rolling.DataArrayRolling\n+        \"\"\"\n+        from xarray.core.rolling import DataArrayRolling\n+\n+        # Could we abstract this \"normalize and check 'dim'\" logic? It's currently shared\n+        # with the same method in Dataset.\n+        if isinstance(dim, str):\n+            if dim not in self.dims:\n+                raise ValueError(\n+                    f\"Dimension {dim} not found in data dimensions: {self.dims}\"\n+                )\n+            dim = {dim: self.sizes[dim]}\n+        else:\n+            missing_dims = set(dim) - set(self.dims)\n+            if missing_dims:\n+                raise ValueError(\n+                    f\"Dimensions {missing_dims} not found in data dimensions: {self.dims}\"\n+                )\n+            dim = {d: self.sizes[d] for d in dim}\n+\n+        return DataArrayRolling(self, dim, min_periods=min_periods or 1, center=False)\n+\n     def coarsen(\n         self,\n         dim: Mapping[Any, int] | None = None,\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex d010bfba..03269007 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -10272,14 +10272,60 @@ class Dataset(\n \n         See Also\n         --------\n-        core.rolling.DatasetRolling\n+        Dataset.cumulative\n         DataArray.rolling\n+        core.rolling.DatasetRolling\n         \"\"\"\n         from xarray.core.rolling import DatasetRolling\n \n         dim = either_dict_or_kwargs(dim, window_kwargs, \"rolling\")\n         return DatasetRolling(self, dim, min_periods=min_periods, center=center)\n \n+    def cumulative(\n+        self,\n+        dim: str | Iterable[Hashable],\n+        min_periods: int | None = 1,\n+    ) -> DatasetRolling:\n+        \"\"\"\n+        Rolling window object for Datasets\n+\n+        Parameters\n+        ----------\n+        dims : iterable of hashable\n+            The name(s) of the dimensions to create the cumulative window along\n+        min_periods : int or None, default: None\n+            Minimum number of observations in window required to have a value\n+            (otherwise result is NA). The default is 1 (note this is different\n+            from ``Rolling``, whose default is the size of the window).\n+\n+        Returns\n+        -------\n+        core.rolling.DatasetRolling\n+\n+        See Also\n+        --------\n+        Dataset.rolling\n+        DataArray.cumulative\n+        core.rolling.DatasetRolling\n+        \"\"\"\n+        from xarray.core.rolling import DatasetRolling\n+\n+        if isinstance(dim, str):\n+            if dim not in self.dims:\n+                raise ValueError(\n+                    f\"Dimension {dim} not found in data dimensions: {self.dims}\"\n+                )\n+            dim = {dim: self.sizes[dim]}\n+        else:\n+            missing_dims = set(dim) - set(self.dims)\n+            if missing_dims:\n+                raise ValueError(\n+                    f\"Dimensions {missing_dims} not found in data dimensions: {self.dims}\"\n+                )\n+            dim = {d: self.sizes[d] for d in dim}\n+\n+        return DatasetRolling(self, dim, min_periods=min_periods or 1, center=False)\n+\n     def coarsen(\n         self,\n         dim: Mapping[Any, int] | None = None,\ndiff --git a/xarray/tests/test_rolling.py b/xarray/tests/test_rolling.py\nindex cb7b723a..d019e52d 100644\n--- a/xarray/tests/test_rolling.py\n+++ b/xarray/tests/test_rolling.py\n@@ -461,6 +461,24 @@ class TestDataArrayRollingExp:\n         ):\n             da.rolling_exp(time=10, keep_attrs=True)\n \n+    @pytest.mark.parametrize(\"func\", [\"mean\", \"sum\"])\n+    @pytest.mark.parametrize(\"min_periods\", [None, 1, 20])\n+    def test_cumulative(self, da, func, min_periods) -> None:\n+        # One dim\n+        result = getattr(da.cumulative(\"time\", min_periods=min_periods), func)()\n+        expected = getattr(\n+            da.rolling(time=da.time.size, min_periods=min_periods or 1), func\n+        )()\n+        assert_identical(result, expected)\n+\n+        # Multiple dim\n+        result = getattr(da.cumulative([\"time\", \"a\"], min_periods=min_periods), func)()\n+        expected = getattr(\n+            da.rolling(time=da.time.size, a=da.a.size, min_periods=min_periods or 1),\n+            func,\n+        )()\n+        assert_identical(result, expected)\n+\n \n class TestDatasetRolling:\n     @pytest.mark.parametrize(\n@@ -785,6 +803,25 @@ class TestDatasetRolling:\n         expected = getattr(getattr(ds.rolling(time=4), name)().rolling(x=3), name)()\n         assert_allclose(actual, expected)\n \n+    @pytest.mark.parametrize(\"func\", [\"mean\", \"sum\"])\n+    @pytest.mark.parametrize(\"ds\", (2,), indirect=True)\n+    @pytest.mark.parametrize(\"min_periods\", [None, 1, 20])\n+    def test_cumulative(self, ds, func, min_periods) -> None:\n+        # One dim\n+        result = getattr(ds.cumulative(\"time\", min_periods=min_periods), func)()\n+        expected = getattr(\n+            ds.rolling(time=ds.time.size, min_periods=min_periods or 1), func\n+        )()\n+        assert_identical(result, expected)\n+\n+        # Multiple dim\n+        result = getattr(ds.cumulative([\"time\", \"x\"], min_periods=min_periods), func)()\n+        expected = getattr(\n+            ds.rolling(time=ds.time.size, x=ds.x.size, min_periods=min_periods or 1),\n+            func,\n+        )()\n+        assert_identical(result, expected)\n+\n \n @requires_numbagg\n class TestDatasetRollingExp:\n"}

data/3.json

@@ -0,0 +1 @@
+{"head_branch": "templates", "contributor": "sepandhaghighi", "sha_fail": "47ad548c15613c32f12b38e004ee58a36178f631", "sha_success": "92c0053fc684fd1ec008b733c2e45db08321f0e6", "language": "Python", "repo_owner": "sepandhaghighi", "repo_name": "pycm", "workflow_name": "CI", "workflow_filename": "test.yml", "workflow_path": ".github/workflows/test.yml", "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: CI\n\non: [push, pull_request]\n\nenv:\n  TEST_PYTHON_VERSION: 3.9\n  TEST_OS: 'ubuntu-20.04'\n\njobs:\n  build:\n\n    runs-on: ${{ matrix.os }}\n    strategy:\n      matrix:\n        os: [ubuntu-20.04, windows-2022, macOS-12]\n        python-version: [3.6, 3.7.9, 3.8, 3.9, 3.10.0, 3.11.0]\n    steps:\n    - uses: actions/checkout@v2\n    - name: Set up Python ${{ matrix.python-version }}\n      uses: actions/setup-python@v2\n      with:\n        python-version: ${{ matrix.python-version }}\n    - name: Installation\n      run: |\n        python -m pip install --upgrade pip\n        pip install -r requirements.txt\n        python setup.py install\n    - name: First test\n      run: |\n        python -m pycm test\n        python -m pycm\n    - name: Test requirements Installation\n      run: |\n        python Otherfiles/requirements-splitter.py\n        pip install --upgrade --upgrade-strategy=only-if-needed -r test-requirements.txt\n    - name: Test with pytest\n      run: |\n        python -m pytest --cov=pycm --cov-report=term\n    - name: Version check\n      run: |\n        python Otherfiles/version_check.py\n      if: matrix.python-version == env.TEST_PYTHON_VERSION\n    - name: Notebook check\n      run: |\n        pip install notebook>=5.2.2\n        python Otherfiles/notebook_check.py\n      if: matrix.python-version == env.TEST_PYTHON_VERSION && matrix.os == env.TEST_OS\n    - name: Other tests\n      run: |\n          python -m vulture pycm/ Otherfiles/ setup.py --min-confidence 65 --exclude=__init__.py --sort-by-size\n          python -m bandit -r pycm -s B311\n          python -m pydocstyle -v --match-dir=pycm\n      if: matrix.python-version == env.TEST_PYTHON_VERSION\n    - name: Upload coverage to Codecov\n      uses: codecov/codecov-action@v3\n      with:\n          fail_ci_if_error: false\n      if: matrix.python-version == env.TEST_PYTHON_VERSION && matrix.os == env.TEST_OS\n    - name: cProfile\n      run: |\n          python -m cProfile -s cumtime pycm/pycm_profile.py\n", "logs": "##[group]Run python Otherfiles/version_check.py\n\u001b[36;1mpython Otherfiles/version_check.py\u001b[0m\nshell: /usr/bin/bash -e {0}\nenv:\n  TEST_PYTHON_VERSION: 3.9\n  TEST_OS: ubuntu-20.04\n  pythonLocation: /opt/hostedtoolcache/Python/3.9.18/x64\n  LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.18/x64/lib\n##[endgroup]\nError in .github/ISSUE_TEMPLATE/bug_report.yaml\nMessage : [Errno 2] No such file or directory: '.github/ISSUE_TEMPLATE/bug_report.yaml'\n\nVersion tag tests failed!\nPassed : 10/11\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/CHANGELOG.md b/CHANGELOG.md\nindex de22bc3..df0e376 100644\n--- a/CHANGELOG.md\n+++ b/CHANGELOG.md\n@@ -6,7 +6,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.\n \n ## [Unreleased]\n ### Added\n-- `feature_request.yaml` template\n+- `feature_request.yml` template\n - `config.yml` for issue template\n ### Changed\n - Bug report template modified\ndiff --git a/Otherfiles/version_check.py b/Otherfiles/version_check.py\nindex a6605c1..6a5c3ee 100644\n--- a/Otherfiles/version_check.py\n+++ b/Otherfiles/version_check.py\n@@ -35,7 +35,7 @@ FILES = {\n     os.path.join(\"Document\", \"Example1_files\", \"cm3.html\"): HTML_ITEMS,\n     os.path.join(\"Otherfiles\", \"test.html\"): HTML_ITEMS,\n     os.path.join(\"pycm\", \"pycm_param.py\"): PARAMS_ITEMS,\n-    os.path.join(\".github\", \"ISSUE_TEMPLATE\", \"bug_report.yaml\"): ISSUE_TEMPLATE_ITEMS,\n+    os.path.join(\".github\", \"ISSUE_TEMPLATE\", \"bug_report.yml\"): ISSUE_TEMPLATE_ITEMS,\n }\n \n TEST_NUMBER = len(FILES.keys())\n"}

data/4.json

@@ -0,0 +1 @@
+{"head_branch": "master", "contributor": "philipclaesson", "sha_fail": "26f51fa3c88a651ae93633048ce7a11c74f335d8", "sha_success": "8d46775b9b73eb4100895ecba6507451e75945e2", "language": "Python", "repo_owner": "permitio", "repo_name": "opal", "workflow_name": "pre-commit", "workflow_filename": "pre-commit.yml", "workflow_path": ".github/workflows/pre-commit.yml", "workflow": "name: pre-commit\n\non:\n  pull_request:\n  push:\n    branches: [master, main]\n\njobs:\n  pre-commit:\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/[email protected]\n", "logs": "[INFO]\u001b[m Initializing environment for https://github.com/pre-commit/pre-commit-hooks.\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/codespell-project/codespell.\n[INFO]\u001b[m Initializing environment for https://github.com/myint/docformatter.\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/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/codespell-project/codespell.\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/myint/docformatter.\n[INFO]\u001b[m Once installed this environment will be reused.\n[INFO]\u001b[m This may take a few minutes...\ncheck yaml...............................................................\u001b[42mPassed\u001b[m\nfix end of files.........................................................\u001b[42mPassed\u001b[m\ntrim trailing whitespace.................................................\u001b[42mPassed\u001b[m\nblack....................................................................\u001b[42mPassed\u001b[m\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/opal/opal/packages/opal-common/opal_common/git/branch_tracker.py\n\ncodespell................................................................\u001b[42mPassed\u001b[m\ndocformatter.............................................................\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/packages/opal-common/opal_common/git/branch_tracker.py b/packages/opal-common/opal_common/git/branch_tracker.py\u001b[m\n\u001b[1mindex 9f7021d..3c8b374 100644\u001b[m\n\u001b[1m--- a/packages/opal-common/opal_common/git/branch_tracker.py\u001b[m\n\u001b[1m+++ b/packages/opal-common/opal_common/git/branch_tracker.py\u001b[m\n\u001b[36m@@ -1,7 +1,7 @@\u001b[m\n from functools import partial\u001b[m\n from typing import Optional, Tuple\u001b[m\n \u001b[m\n\u001b[31m-from git import GitCommandError, Head, Remote, Repo, Reference\u001b[m\n\u001b[32m+\u001b[m\u001b[32mfrom git import GitCommandError, Head, Reference, Remote, Repo\u001b[m\n from git.objects.commit import Commit\u001b[m\n from opal_common.git.env import provide_git_ssh_environment\u001b[m\n from opal_common.git.exceptions import GitFailed\u001b[m\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/packages/opal-common/opal_common/git/branch_tracker.py b/packages/opal-common/opal_common/git/branch_tracker.py\nindex 9f7021d..3c8b374 100644\n--- a/packages/opal-common/opal_common/git/branch_tracker.py\n+++ b/packages/opal-common/opal_common/git/branch_tracker.py\n@@ -1,7 +1,7 @@\n from functools import partial\n from typing import Optional, Tuple\n \n-from git import GitCommandError, Head, Remote, Repo, Reference\n+from git import GitCommandError, Head, Reference, Remote, Repo\n from git.objects.commit import Commit\n from opal_common.git.env import provide_git_ssh_environment\n from opal_common.git.exceptions import GitFailed\n"}

data/5.json

@@ -0,0 +1 @@
+{"head_branch": "master", "contributor": "getsentry", "sha_fail": "f067af29826a2f765ef43c11734ca01d255271fe", "sha_success": "53a67e0bfc6a7624d3f1a062e5269014ff3be39c", "language": "Python", "repo_owner": "getsentry", "repo_name": "sentry-python", "workflow_name": "CI", "workflow_filename": "ci.yml", "workflow_path": ".github/workflows/ci.yml", "workflow": "name: CI\n\non:\n  push:\n    branches:\n      - master\n      - release/**\n\n  pull_request:\n\npermissions:\n  contents: read\n\nenv:\n  BUILD_CACHE_KEY: ${{ github.sha }}\n  CACHED_BUILD_PATHS: |\n    ${{ github.workspace }}/dist-serverless\n\njobs:\n  lint:\n    name: Lint Sources\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.11\n\n      - run: |\n          pip install tox\n          tox -e linters\n\n  check-ci-config:\n    name: Check CI config\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.9\n\n      - run: |\n          python scripts/split-tox-gh-actions/split-tox-gh-actions.py --fail-on-changes\n\n  build_lambda_layer:\n    name: Build Package\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.9\n      - name: Setup build cache\n        uses: actions/cache@v3\n        id: build_cache\n        with:\n          path: ${{ env.CACHED_BUILD_PATHS }}\n          key: ${{ env.BUILD_CACHE_KEY }}\n      - name: Build Packages\n        run: |\n          echo \"Creating directory containing Python SDK Lambda Layer\"\n          pip install virtualenv\n          # This will also trigger \"make dist\" that creates the Python packages\n          make aws-lambda-layer\n      - name: Upload Python Packages\n        uses: actions/upload-artifact@v3\n        with:\n          name: ${{ github.sha }}\n          path: |\n            dist/*\n\n  docs:\n    name: Build SDK API Doc\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.11\n\n      - run: |\n          pip install virtualenv\n          make apidocs\n          cd docs/_build && zip -r gh-pages ./\n\n      - uses: actions/[email protected]\n        with:\n          name: ${{ github.sha }}\n          path: docs/_build/gh-pages.zip\n", "logs": "  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 10.9 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 42.9 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 23.2 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 97.0 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 86.8 MB/s eta 0:00:00\nInstalling collected packages: distlib, pluggy, platformdirs, packaging, filelock, colorama, chardet, cachetools, virtualenv, pyproject-api, tox\nSuccessfully installed cachetools-5.3.1 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 tox-4.11.3 virtualenv-20.24.5\nlinters: install_deps> python -I -m pip install 'werkzeug<2.3.0' -r test-requirements.txt -r linter-requirements.txt\n.pkg: install_requires> python -I -m pip install 'setuptools>=40.8.0' wheel\n.pkg: _optional_hooks> python /opt/hostedtoolcache/Python/3.11.5/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: get_requires_for_build_editable> python /opt/hostedtoolcache/Python/3.11.5/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n.pkg: install_requires_for_build_editable> python -I -m pip install wheel\n.pkg: freeze> python -m pip freeze --all\n.pkg: pip==23.2.1,setuptools==68.2.0,wheel==0.41.2\n.pkg: build_editable> python /opt/hostedtoolcache/Python/3.11.5/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\nlinters: install_package_deps> python -I -m pip install certifi 'urllib3>=1.25.7; python_version <= \"3.4\"' 'urllib3>=1.26.11; python_version >= \"3.6\"' 'urllib3>=1.26.9; python_version == \"3.5\"'\nlinters: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/sentry-python/sentry-python/.tox/.tmp/package/1/sentry_sdk-1.31.0-0.editable-py2.py3-none-any.whl\nlinters: freeze> python -m pip freeze --all\nlinters: asttokens==2.4.0,attrs==23.1.0,backcall==0.2.0,black==23.9.1,certifi==2023.7.22,cffi==1.16.0,cfgv==3.4.0,charset-normalizer==3.3.0,click==8.1.7,colorama==0.4.6,coverage==7.3.2,cryptography==41.0.4,decorator==5.1.1,distlib==0.3.7,dnspython==2.4.2,docopt==0.6.2,executing==1.2.0,filelock==3.12.4,flake8==5.0.4,flake8-bugbear==23.3.12,identify==2.5.30,idna==3.4,iniconfig==2.0.0,ipdb==0.13.13,ipython==8.16.1,jedi==0.19.1,jsonschema==3.2.0,loguru==0.7.2,MarkupSafe==2.1.3,matplotlib-inline==0.1.6,mccabe==0.7.0,mypy==1.6.0,mypy-extensions==1.0.0,nodeenv==1.8.0,packaging==23.2,parso==0.8.3,pathspec==0.11.2,pep8-naming==0.13.3,pexpect==4.8.0,pickleshare==0.7.5,pip==23.2.1,platformdirs==3.11.0,pluggy==0.13.1,pre-commit==3.4.0,prompt-toolkit==3.0.39,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pycodestyle==2.9.1,pycparser==2.21,pyflakes==2.5.0,Pygments==2.16.1,pymongo==4.5.0,pyrsistent==0.16.0,PySocks==1.7.1,pytest==6.2.5,pytest-cov==2.8.1,pytest-forked==1.4.0,pytest-localserver==0.5.0,pytest-watch==4.2.0,PyYAML==6.0.1,requests==2.31.0,responses==0.23.3,sentry-sdk @ file:///home/runner/work/sentry-python/sentry-python/.tox/.tmp/package/1/sentry_sdk-1.31.0-0.editable-py2.py3-none-any.whl#sha256=fe92b2c2c5369696c1802150fa5e2816a8f75e4581830e68ddd6bd2663b9808c,setuptools==68.2.0,six==1.16.0,stack-data==0.6.3,toml==0.10.2,tox==3.7.0,traitlets==5.11.2,types-certifi==2021.10.8.3,types-pyOpenSSL==23.2.0.2,types-PyYAML==6.0.12.12,types-redis==4.6.0.7,types-setuptools==68.2.0.0,typing_extensions==4.8.0,urllib3==2.0.6,virtualenv==20.24.5,watchdog==3.0.0,wcwidth==0.2.8,Werkzeug==2.2.3,wheel==0.41.2\nlinters: commands[0]> flake8 tests sentry_sdk\nlinters: commands[1]> black --check tests sentry_sdk\nAll done! \u2728 \ud83c\udf70 \u2728\n266 files would be left unchanged.\nlinters: commands[2]> mypy sentry_sdk\nsentry_sdk/integrations/gql.py:6: error: Unused \"type: ignore\" comment, use narrower [import-not-found] instead of [import] code  [unused-ignore]\nsentry_sdk/integrations/gql.py:7: error: Unused \"type: ignore\" comment, use narrower [import-not-found] instead of [import] code  [unused-ignore]\nsentry_sdk/integrations/gql.py:8: error: Unused \"type: ignore\" comment, use narrower [import-not-found] instead of [import] code  [unused-ignore]\nsentry_sdk/integrations/gql.py:9: error: Unused \"type: ignore\" comment, use narrower [import-not-found] instead of [import] code  [unused-ignore]\nsentry_sdk/integrations/clickhouse_driver.py:33: error: Unused \"type: ignore\" comment, use narrower [import-not-found] instead of [import] code  [unused-ignore]\nsentry_sdk/integrations/asyncpg.py:15: error: Unused \"type: ignore\" comment, use narrower [import-not-found] instead of [import] code  [unused-ignore]\nFound 6 errors in 3 files (checked 109 source files)\nlinters: exit 1 (9.74 seconds) /home/runner/work/sentry-python/sentry-python> mypy sentry_sdk pid=2062\n.pkg: _exit> python /opt/hostedtoolcache/Python/3.11.5/x64/lib/python3.11/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\n  linters: FAIL code 1 (46.25=setup[26.82]+cmd[5.66,4.04,9.74] seconds)\n  evaluation failed :( (49.67 seconds)\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/sentry_sdk/integrations/asyncpg.py b/sentry_sdk/integrations/asyncpg.py\nindex 8262b2ef..f74b874e 100644\n--- a/sentry_sdk/integrations/asyncpg.py\n+++ b/sentry_sdk/integrations/asyncpg.py\n@@ -12,7 +12,7 @@ from sentry_sdk.tracing_utils import record_sql_queries\n from sentry_sdk.utils import parse_version, capture_internal_exceptions\n \n try:\n-    import asyncpg  # type: ignore[import]\n+    import asyncpg  # type: ignore[import-not-found]\n \n except ImportError:\n     raise DidNotEnable(\"asyncpg not installed.\")\ndiff --git a/sentry_sdk/integrations/clickhouse_driver.py b/sentry_sdk/integrations/clickhouse_driver.py\nindex 8a436022..f0955ff7 100644\n--- a/sentry_sdk/integrations/clickhouse_driver.py\n+++ b/sentry_sdk/integrations/clickhouse_driver.py\n@@ -30,7 +30,7 @@ else:\n \n \n try:\n-    import clickhouse_driver  # type: ignore[import]\n+    import clickhouse_driver  # type: ignore[import-not-found]\n \n except ImportError:\n     raise DidNotEnable(\"clickhouse-driver not installed.\")\ndiff --git a/sentry_sdk/integrations/gql.py b/sentry_sdk/integrations/gql.py\nindex efdb2fe3..79fc8d02 100644\n--- a/sentry_sdk/integrations/gql.py\n+++ b/sentry_sdk/integrations/gql.py\n@@ -3,10 +3,10 @@ from sentry_sdk.hub import Hub, _should_send_default_pii\n from sentry_sdk.integrations import DidNotEnable, Integration\n \n try:\n-    import gql  # type: ignore[import]\n-    from graphql import print_ast, get_operation_ast, DocumentNode, VariableDefinitionNode  # type: ignore[import]\n-    from gql.transport import Transport, AsyncTransport  # type: ignore[import]\n-    from gql.transport.exceptions import TransportQueryError  # type: ignore[import]\n+    import gql  # type: ignore[import-not-found]\n+    from graphql import print_ast, get_operation_ast, DocumentNode, VariableDefinitionNode  # type: ignore[import-not-found]\n+    from gql.transport import Transport, AsyncTransport  # type: ignore[import-not-found]\n+    from gql.transport.exceptions import TransportQueryError  # type: ignore[import-not-found]\n except ImportError:\n     raise DidNotEnable(\"gql is not installed\")\n \n"}

data/6.json

@@ -0,0 +1 @@
+{"head_branch": "master", "contributor": "cameron-simpson", "sha_fail": "c4a1da23413c5e82f3e9784f8750f56980cddb11", "sha_success": "522abef8e3aeacaac3908d9068cb1ba0e9da9022", "language": "Python", "repo_owner": "getsentry", "repo_name": "sentry-python", "workflow_name": "CI", "workflow_filename": "ci.yml", "workflow_path": ".github/workflows/ci.yml", "workflow": "name: CI\n\non:\n  push:\n    branches:\n      - master\n      - release/**\n\n  pull_request:\n\npermissions:\n  contents: read\n\nenv:\n  BUILD_CACHE_KEY: ${{ github.sha }}\n  CACHED_BUILD_PATHS: |\n    ${{ github.workspace }}/dist-serverless\n\njobs:\n  lint:\n    name: Lint Sources\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.12\n\n      - run: |\n          pip install tox\n          tox -e linters\n\n  check-ci-config:\n    name: Check CI config\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.12\n\n      - run: |\n          python scripts/split-tox-gh-actions/split-tox-gh-actions.py --fail-on-changes\n\n  build_lambda_layer:\n    name: Build Package\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.12\n      - name: Setup build cache\n        uses: actions/cache@v3\n        id: build_cache\n        with:\n          path: ${{ env.CACHED_BUILD_PATHS }}\n          key: ${{ env.BUILD_CACHE_KEY }}\n      - name: Build Packages\n        run: |\n          echo \"Creating directory containing Python SDK Lambda Layer\"\n          pip install virtualenv\n          # This will also trigger \"make dist\" that creates the Python packages\n          make aws-lambda-layer\n      - name: Upload Python Packages\n        uses: actions/upload-artifact@v3\n        with:\n          name: ${{ github.sha }}\n          path: |\n            dist/*\n\n  docs:\n    name: Build SDK API Doc\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.12\n\n      - run: |\n          pip install virtualenv\n          make apidocs\n          cd docs/_build && zip -r gh-pages ./\n\n      - uses: actions/[email protected]\n        with:\n          name: ${{ github.sha }}\n          path: docs/_build/gh-pages.zip\n", "logs": "Collecting 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-20.24.6-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-4.11.3-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 10.6 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 42.6 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 17.7 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-20.24.6-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 89.0 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 76.6 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-3.11.0 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.3 virtualenv-20.24.6\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\nlinters: install_deps> python -I -m pip install 'werkzeug<2.3.0' -r test-requirements.txt -r linter-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_editable> 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_editable> 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==0.41.3\n.pkg: build_editable> python /opt/hostedtoolcache/Python/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\nlinters: install_package_deps> python -I -m pip install certifi 'urllib3>=1.25.7; python_version <= \"3.4\"' 'urllib3>=1.26.11; python_version >= \"3.6\"' 'urllib3>=1.26.9; python_version == \"3.5\"'\nlinters: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/sentry-python/sentry-python/.tox/.tmp/package/1/sentry_sdk-1.34.0-0.editable-py2.py3-none-any.whl\nlinters: freeze> python -m pip freeze --all\nlinters: asttokens==2.4.1,attrs==23.1.0,black==23.11.0,certifi==2023.7.22,cffi==1.16.0,cfgv==3.4.0,charset-normalizer==3.3.2,click==8.1.7,colorama==0.4.6,coverage==7.3.2,cryptography==41.0.5,decorator==5.1.1,distlib==0.3.7,dnspython==2.4.2,docopt==0.6.2,executing==1.2.0,filelock==3.13.1,flake8==5.0.4,flake8-bugbear==23.3.12,identify==2.5.31,idna==3.4,iniconfig==2.0.0,ipdb==0.13.13,ipython==8.17.2,jedi==0.19.1,jsonschema==3.2.0,loguru==0.7.2,MarkupSafe==2.1.3,matplotlib-inline==0.1.6,mccabe==0.7.0,mypy==1.6.1,mypy-extensions==1.0.0,nodeenv==1.8.0,packaging==23.2,parso==0.8.3,pathspec==0.11.2,pep8-naming==0.13.3,pexpect==4.8.0,pip==23.3.1,platformdirs==3.11.0,pluggy==0.13.1,pre-commit==3.5.0,prompt-toolkit==3.0.39,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pycodestyle==2.9.1,pycparser==2.21,pyflakes==2.5.0,Pygments==2.16.1,pymongo==4.6.0,pyrsistent==0.16.0,PySocks==1.7.1,pytest==6.2.5,pytest-cov==2.8.1,pytest-forked==1.4.0,pytest-localserver==0.5.1,pytest-watch==4.2.0,PyYAML==6.0.1,requests==2.31.0,responses==0.24.0,sentry-sdk @ file:///home/runner/work/sentry-python/sentry-python/.tox/.tmp/package/1/sentry_sdk-1.34.0-0.editable-py2.py3-none-any.whl#sha256=8cac6cec867d605ecaedd4461652e22545898c9773ff52416df81028a5ee1889,setuptools==68.2.2,six==1.16.0,stack-data==0.6.3,toml==0.10.2,tox==3.7.0,traitlets==5.13.0,types-certifi==2021.10.8.3,types-protobuf==4.24.0.4,types-pyOpenSSL==23.3.0.0,types-redis==4.6.0.10,types-setuptools==68.2.0.1,typing_extensions==4.8.0,urllib3==2.0.7,virtualenv==20.24.6,watchdog==3.0.0,wcwidth==0.2.9,Werkzeug==2.2.3\nlinters: commands[0]> flake8 tests sentry_sdk\nlinters: commands[1]> black --check tests sentry_sdk\nAll done! \u2728 \ud83c\udf70 \u2728\n267 files would be left unchanged.\nlinters: commands[2]> mypy sentry_sdk\nsentry_sdk/integrations/django/middleware.py:41: error: Incompatible types in assignment (expression has type \"Callable[[Callable[..., Any]], type[object]]\", variable has type \"Callable[[Callable[..., Any]], Any]\")  [assignment]\nFound 1 error in 1 file (checked 112 source files)\nlinters: exit 1 (9.69 seconds) /home/runner/work/sentry-python/sentry-python> mypy sentry_sdk pid=2217\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  linters: FAIL code 1 (50.62=setup[31.79]+cmd[3.93,5.21,9.69] seconds)\n  evaluation failed :( (53.91 seconds)\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/sentry_sdk/integrations/celery.py b/sentry_sdk/integrations/celery.py\nindex a0c86ea9..88c85d12 100644\n--- a/sentry_sdk/integrations/celery.py\n+++ b/sentry_sdk/integrations/celery.py\n@@ -444,7 +444,15 @@ def _get_monitor_config(celery_schedule, app, monitor_name):\n     if schedule_unit is not None:\n         monitor_config[\"schedule\"][\"unit\"] = schedule_unit\n \n-    monitor_config[\"timezone\"] = app.conf.timezone or \"UTC\"\n+    monitor_config[\"timezone\"] = (\n+        (\n+            hasattr(celery_schedule, \"tz\")\n+            and celery_schedule.tz is not None\n+            and str(celery_schedule.tz)\n+        )\n+        or app.timezone\n+        or \"UTC\"\n+    )\n \n     return monitor_config\n \ndiff --git a/sentry_sdk/integrations/django/middleware.py b/sentry_sdk/integrations/django/middleware.py\nindex b5a23cdc..aa8023db 100644\n--- a/sentry_sdk/integrations/django/middleware.py\n+++ b/sentry_sdk/integrations/django/middleware.py\n@@ -34,11 +34,10 @@ else:\n     import_string_name = \"import_string\"\n \n \n-DJANGO_SUPPORTS_ASYNC_MIDDLEWARE = DJANGO_VERSION >= (3, 1)\n-if DJANGO_SUPPORTS_ASYNC_MIDDLEWARE:\n-    from .asgi import _asgi_middleware_mixin_factory\n-else:\n+if DJANGO_VERSION < (3, 1):\n     _asgi_middleware_mixin_factory = lambda _: object\n+else:\n+    from .asgi import _asgi_middleware_mixin_factory\n \n \n def patch_django_middlewares():\n@@ -127,9 +126,7 @@ def _wrap_middleware(middleware, middleware_name):\n     class SentryWrappingMiddleware(\n         _asgi_middleware_mixin_factory(_check_middleware_span)  # type: ignore\n     ):\n-        async_capable = DJANGO_SUPPORTS_ASYNC_MIDDLEWARE and getattr(\n-            middleware, \"async_capable\", False\n-        )\n+        async_capable = getattr(middleware, \"async_capable\", False)\n \n         def __init__(self, get_response=None, *args, **kwargs):\n             # type: (Optional[Callable[..., Any]], *Any, **Any) -> None\ndiff --git a/tests/integrations/celery/test_celery_beat_crons.py b/tests/integrations/celery/test_celery_beat_crons.py\nindex e42ccdbd..9343b3c9 100644\n--- a/tests/integrations/celery/test_celery_beat_crons.py\n+++ b/tests/integrations/celery/test_celery_beat_crons.py\n@@ -1,3 +1,6 @@\n+import datetime\n+import sys\n+\n import pytest\n \n from sentry_sdk.integrations.celery import (\n@@ -207,25 +210,65 @@ def test_crons_task_retry():\n \n def test_get_monitor_config_crontab():\n     app = MagicMock()\n-    app.conf = MagicMock()\n-    app.conf.timezone = \"Europe/Vienna\"\n+    app.timezone = \"Europe/Vienna\"\n \n+    # schedule with the default timezone\n     celery_schedule = crontab(day_of_month=\"3\", hour=\"12\", minute=\"*/10\")\n+\n     monitor_config = _get_monitor_config(celery_schedule, app, \"foo\")\n     assert monitor_config == {\n         \"schedule\": {\n             \"type\": \"crontab\",\n             \"value\": \"*/10 12 3 * *\",\n         },\n-        \"timezone\": \"Europe/Vienna\",\n+        \"timezone\": \"UTC\",  # the default because `crontab` does not know about the app\n     }\n     assert \"unit\" not in monitor_config[\"schedule\"]\n \n+    # schedule with the timezone from the app\n+    celery_schedule = crontab(day_of_month=\"3\", hour=\"12\", minute=\"*/10\", app=app)\n+\n+    monitor_config = _get_monitor_config(celery_schedule, app, \"foo\")\n+    assert monitor_config == {\n+        \"schedule\": {\n+            \"type\": \"crontab\",\n+            \"value\": \"*/10 12 3 * *\",\n+        },\n+        \"timezone\": \"Europe/Vienna\",  # the timezone from the app\n+    }\n+\n+    # schedule without a timezone, the celery integration will read the config from the app\n+    celery_schedule = crontab(day_of_month=\"3\", hour=\"12\", minute=\"*/10\")\n+    celery_schedule.tz = None\n+\n+    monitor_config = _get_monitor_config(celery_schedule, app, \"foo\")\n+    assert monitor_config == {\n+        \"schedule\": {\n+            \"type\": \"crontab\",\n+            \"value\": \"*/10 12 3 * *\",\n+        },\n+        \"timezone\": \"Europe/Vienna\",  # the timezone from the app\n+    }\n+\n+    # schedule without a timezone, and an app without timezone, the celery integration will fall back to UTC\n+    app = MagicMock()\n+    app.timezone = None\n+\n+    celery_schedule = crontab(day_of_month=\"3\", hour=\"12\", minute=\"*/10\")\n+    celery_schedule.tz = None\n+    monitor_config = _get_monitor_config(celery_schedule, app, \"foo\")\n+    assert monitor_config == {\n+        \"schedule\": {\n+            \"type\": \"crontab\",\n+            \"value\": \"*/10 12 3 * *\",\n+        },\n+        \"timezone\": \"UTC\",  # default timezone from celery integration\n+    }\n+\n \n def test_get_monitor_config_seconds():\n     app = MagicMock()\n-    app.conf = MagicMock()\n-    app.conf.timezone = \"Europe/Vienna\"\n+    app.timezone = \"Europe/Vienna\"\n \n     celery_schedule = schedule(run_every=3)  # seconds\n \n@@ -243,10 +286,55 @@ def test_get_monitor_config_seconds():\n \n def test_get_monitor_config_minutes():\n     app = MagicMock()\n-    app.conf = MagicMock()\n-    app.conf.timezone = \"Europe/Vienna\"\n+    app.timezone = \"Europe/Vienna\"\n+\n+    # schedule with the default timezone\n+    celery_schedule = schedule(run_every=60)  # seconds\n+\n+    monitor_config = _get_monitor_config(celery_schedule, app, \"foo\")\n+    assert monitor_config == {\n+        \"schedule\": {\n+            \"type\": \"interval\",\n+            \"value\": 1,\n+            \"unit\": \"minute\",\n+        },\n+        \"timezone\": \"UTC\",\n+    }\n+\n+    # schedule with the timezone from the app\n+    celery_schedule = schedule(run_every=60, app=app)  # seconds\n+\n+    monitor_config = _get_monitor_config(celery_schedule, app, \"foo\")\n+    assert monitor_config == {\n+        \"schedule\": {\n+            \"type\": \"interval\",\n+            \"value\": 1,\n+            \"unit\": \"minute\",\n+        },\n+        \"timezone\": \"Europe/Vienna\",  # the timezone from the app\n+    }\n+\n+    # schedule without a timezone, the celery integration will read the config from the app\n+    celery_schedule = schedule(run_every=60)  # seconds\n+    celery_schedule.tz = None\n+\n+    monitor_config = _get_monitor_config(celery_schedule, app, \"foo\")\n+    assert monitor_config == {\n+        \"schedule\": {\n+            \"type\": \"interval\",\n+            \"value\": 1,\n+            \"unit\": \"minute\",\n+        },\n+        \"timezone\": \"Europe/Vienna\",  # the timezone from the app\n+    }\n+\n+    # schedule without a timezone, and an app without timezone, the celery integration will fall back to UTC\n+    app = MagicMock()\n+    app.timezone = None\n \n     celery_schedule = schedule(run_every=60)  # seconds\n+    celery_schedule.tz = None\n+\n     monitor_config = _get_monitor_config(celery_schedule, app, \"foo\")\n     assert monitor_config == {\n         \"schedule\": {\n@@ -254,14 +342,13 @@ def test_get_monitor_config_minutes():\n             \"value\": 1,\n             \"unit\": \"minute\",\n         },\n-        \"timezone\": \"Europe/Vienna\",\n+        \"timezone\": \"UTC\",  # default timezone from celery integration\n     }\n \n \n def test_get_monitor_config_unknown():\n     app = MagicMock()\n-    app.conf = MagicMock()\n-    app.conf.timezone = \"Europe/Vienna\"\n+    app.timezone = \"Europe/Vienna\"\n \n     unknown_celery_schedule = MagicMock()\n     monitor_config = _get_monitor_config(unknown_celery_schedule, app, \"foo\")\n@@ -270,16 +357,45 @@ def test_get_monitor_config_unknown():\n \n def test_get_monitor_config_default_timezone():\n     app = MagicMock()\n-    app.conf = MagicMock()\n-    app.conf.timezone = None\n+    app.timezone = None\n \n     celery_schedule = crontab(day_of_month=\"3\", hour=\"12\", minute=\"*/10\")\n \n-    monitor_config = _get_monitor_config(celery_schedule, app, \"foo\")\n+    monitor_config = _get_monitor_config(celery_schedule, app, \"dummy_monitor_name\")\n \n     assert monitor_config[\"timezone\"] == \"UTC\"\n \n \n+def test_get_monitor_config_timezone_in_app_conf():\n+    app = MagicMock()\n+    app.timezone = \"Asia/Karachi\"\n+\n+    celery_schedule = crontab(day_of_month=\"3\", hour=\"12\", minute=\"*/10\")\n+    celery_schedule.tz = None\n+\n+    monitor_config = _get_monitor_config(celery_schedule, app, \"dummy_monitor_name\")\n+\n+    assert monitor_config[\"timezone\"] == \"Asia/Karachi\"\n+\n+\[email protected](\n+    sys.version_info < (3, 0),\n+    reason=\"no datetime.timezone for Python 2, so skipping this test.\",\n+)\n+def test_get_monitor_config_timezone_in_celery_schedule():\n+    app = MagicMock()\n+    app.timezone = \"Asia/Karachi\"\n+\n+    panama_tz = datetime.timezone(datetime.timedelta(hours=-5), name=\"America/Panama\")\n+\n+    celery_schedule = crontab(day_of_month=\"3\", hour=\"12\", minute=\"*/10\")\n+    celery_schedule.tz = panama_tz\n+\n+    monitor_config = _get_monitor_config(celery_schedule, app, \"dummy_monitor_name\")\n+\n+    assert monitor_config[\"timezone\"] == str(panama_tz)\n+\n+\n @pytest.mark.parametrize(\n     \"task_name,exclude_beat_tasks,task_in_excluded_beat_tasks\",\n     [\n"}

data/7.json

@@ -0,0 +1 @@
+{"head_branch": "m.redis-cluster", "contributor": "md384", "sha_fail": "5c99ddda3d9a3b351827a83e560d416970559c90", "sha_success": "c868892b2710c3698681d3922a2991a11c380cdf", "language": "Python", "repo_owner": "getsentry", "repo_name": "sentry-python", "workflow_name": "CI", "workflow_filename": "ci.yml", "workflow_path": ".github/workflows/ci.yml", "workflow": "name: CI\n\non:\n  push:\n    branches:\n      - master\n      - release/**\n\n  pull_request:\n\npermissions:\n  contents: read\n\nenv:\n  BUILD_CACHE_KEY: ${{ github.sha }}\n  CACHED_BUILD_PATHS: |\n    ${{ github.workspace }}/dist-serverless\n\njobs:\n  lint:\n    name: Lint Sources\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.12\n\n      - run: |\n          pip install tox\n          tox -e linters\n\n  check-ci-config:\n    name: Check CI config\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.12\n\n      - run: |\n          pip install jinja2\n          python scripts/split-tox-gh-actions/split-tox-gh-actions.py --fail-on-changes\n\n  build_lambda_layer:\n    name: Build Package\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.12\n      - name: Setup build cache\n        uses: actions/cache@v3\n        id: build_cache\n        with:\n          path: ${{ env.CACHED_BUILD_PATHS }}\n          key: ${{ env.BUILD_CACHE_KEY }}\n      - name: Build Packages\n        run: |\n          echo \"Creating directory containing Python SDK Lambda Layer\"\n          pip install virtualenv\n          # This will also trigger \"make dist\" that creates the Python packages\n          make aws-lambda-layer\n      - name: Upload Python Packages\n        uses: actions/upload-artifact@v3\n        with:\n          name: ${{ github.sha }}\n          path: |\n            dist/*\n\n  docs:\n    name: Build SDK API Doc\n    runs-on: ubuntu-latest\n    timeout-minutes: 10\n\n    steps:\n      - uses: actions/checkout@v4\n      - uses: actions/setup-python@v4\n        with:\n          python-version: 3.12\n\n      - run: |\n          pip install virtualenv\n          make apidocs\n          cd docs/_build && zip -r gh-pages ./\n\n      - uses: actions/[email protected]\n        with:\n          name: ${{ github.sha }}\n          path: docs/_build/gh-pages.zip\n", "logs": "Downloading 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 32.7 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 15.4 MB/s eta 0:00:00\nDownloading platformdirs-4.0.0-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-20.24.7-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 110.2 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 77.5 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-0.3.7 filelock-3.13.1 packaging-23.2 platformdirs-4.0.0 pluggy-1.3.0 pyproject-api-1.6.1 tox-4.11.4 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\nlinters: install_deps> python -I -m pip install 'werkzeug<2.3.0' -r test-requirements.txt -r linter-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_editable> 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_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/3.12.0/x64/lib/python3.12/site-packages/pyproject_api/_backend.py True setuptools.build_meta __legacy__\nlinters: install_package_deps> python -I -m pip install certifi 'urllib3>=1.25.7; python_version <= \"3.4\"' 'urllib3>=1.26.11; python_version >= \"3.6\"' 'urllib3>=1.26.9; python_version == \"3.5\"'\nlinters: install_package> python -I -m pip install --force-reinstall --no-deps /home/runner/work/sentry-python/sentry-python/.tox/.tmp/package/1/sentry_sdk-1.38.0-0.editable-py2.py3-none-any.whl\nlinters: freeze> python -m pip freeze --all\nlinters: asttokens==2.4.1,attrs==23.1.0,black==23.11.0,certifi==2023.11.17,cffi==1.16.0,cfgv==3.4.0,charset-normalizer==3.3.2,click==8.1.7,colorama==0.4.6,coverage==7.3.2,cryptography==41.0.7,decorator==5.1.1,distlib==0.3.7,dnspython==2.4.2,docopt==0.6.2,executing==1.2.0,filelock==3.13.1,flake8==5.0.4,flake8-bugbear==23.3.12,identify==2.5.32,idna==3.6,iniconfig==2.0.0,ipdb==0.13.13,ipython==8.18.1,jedi==0.19.1,jsonschema==3.2.0,loguru==0.7.2,MarkupSafe==2.1.3,matplotlib-inline==0.1.6,mccabe==0.7.0,mypy==1.7.1,mypy-extensions==1.0.0,nodeenv==1.8.0,packaging==23.2,parso==0.8.3,pathspec==0.11.2,pep8-naming==0.13.3,pexpect==4.9.0,pip==23.3.1,platformdirs==4.0.0,pluggy==0.13.1,pre-commit==3.5.0,prompt-toolkit==3.0.41,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pycodestyle==2.9.1,pycparser==2.21,pyflakes==2.5.0,Pygments==2.17.2,pymongo==4.6.1,pyrsistent==0.16.0,PySocks==1.7.1,pytest==7.4.3,pytest-cov==2.8.1,pytest-forked==1.4.0,pytest-localserver==0.5.1,pytest-watch==4.2.0,PyYAML==6.0.1,requests==2.31.0,responses==0.24.1,sentry-sdk @ file:///home/runner/work/sentry-python/sentry-python/.tox/.tmp/package/1/sentry_sdk-1.38.0-0.editable-py2.py3-none-any.whl#sha256=0600ca84a4e5a0d0bd5f3f907f2806001272fb2955a950dd53ebd77aa23ee3bd,setuptools==69.0.2,six==1.16.0,stack-data==0.6.3,toml==0.10.2,tox==3.7.0,traitlets==5.14.0,types-certifi==2021.10.8.3,types-protobuf==4.24.0.4,types-pyOpenSSL==23.3.0.0,types-redis==4.6.0.11,types-setuptools==69.0.0.0,typing_extensions==4.8.0,urllib3==2.1.0,virtualenv==20.24.7,watchdog==3.0.0,wcwidth==0.2.12,Werkzeug==2.2.3\nlinters: commands[0]> flake8 tests sentry_sdk\nlinters: commands[1]> black --check tests sentry_sdk\nAll done! \u2728 \ud83c\udf70 \u2728\n274 files would be left unchanged.\nlinters: commands[2]> mypy sentry_sdk\nsentry_sdk/integrations/redis/__init__.py:143: error: Missing type parameters for generic type \"Redis\"  [type-arg]\nsentry_sdk/integrations/redis/__init__.py:151: error: Missing type parameters for generic type \"RedisCluster\"  [type-arg]\nsentry_sdk/integrations/redis/__init__.py:160: error: Missing type parameters for generic type \"RedisCluster\"  [type-arg]\nsentry_sdk/integrations/redis/__init__.py:167: error: Missing type parameters for generic type \"ClusterPipeline\"  [type-arg]\nsentry_sdk/integrations/redis/__init__.py:169: error: \"ClusterPipeline[Any]\" has no attribute \"_client\"  [attr-defined]\nsentry_sdk/integrations/redis/asyncio.py:24: error: \"type\" has no attribute \"execute\"  [attr-defined]\nsentry_sdk/integrations/redis/asyncio.py:48: error: \"type\" has no attribute \"execute\"  [attr-defined]\nsentry_sdk/integrations/redis/asyncio.py:53: error: \"type\" has no attribute \"execute_command\"  [attr-defined]\nsentry_sdk/integrations/redis/asyncio.py:70: error: \"type\" has no attribute \"execute_command\"  [attr-defined]\nFound 9 errors in 2 files (checked 113 source files)\nlinters: exit 1 (9.18 seconds) /home/runner/work/sentry-python/sentry-python> mypy sentry_sdk pid=2111\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  linters: FAIL code 1 (48.73=setup[30.06]+cmd[4.06,5.42,9.18] seconds)\n  evaluation failed :( (51.86 seconds)\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/sentry_sdk/integrations/redis/__init__.py b/sentry_sdk/integrations/redis/__init__.py\nindex 2e4e43a5..adb3380e 100644\n--- a/sentry_sdk/integrations/redis/__init__.py\n+++ b/sentry_sdk/integrations/redis/__init__.py\n@@ -141,7 +141,7 @@ def _set_db_data_on_span(span, connection_params):\n \n \n def _set_db_data(span, redis_instance):\n-    # type: (Span, Redis) -> None\n+    # type: (Span, Redis[Any]) -> None\n     try:\n         _set_db_data_on_span(span, redis_instance.connection_pool.connection_kwargs)\n     except AttributeError:\n@@ -149,7 +149,7 @@ def _set_db_data(span, redis_instance):\n \n \n def _set_cluster_db_data(span, redis_cluster_instance):\n-    # type: (Span, RedisCluster) -> None\n+    # type: (Span, RedisCluster[Any]) -> None\n     default_node = redis_cluster_instance.get_default_node()\n     if default_node is not None:\n         _set_db_data_on_span(\n@@ -158,15 +158,20 @@ def _set_cluster_db_data(span, redis_cluster_instance):\n \n \n def _set_async_cluster_db_data(span, async_redis_cluster_instance):\n-    # type: (Span, AsyncRedisCluster) -> None\n+    # type: (Span, AsyncRedisCluster[Any]) -> None\n     default_node = async_redis_cluster_instance.get_default_node()\n     if default_node is not None and default_node.connection_kwargs is not None:\n         _set_db_data_on_span(span, default_node.connection_kwargs)\n \n \n def _set_async_cluster_pipeline_db_data(span, async_redis_cluster_pipeline_instance):\n-    # type: (Span, AsyncClusterPipeline) -> None\n-    _set_async_cluster_db_data(span, async_redis_cluster_pipeline_instance._client)\n+    # type: (Span, AsyncClusterPipeline[Any]) -> None\n+    _set_async_cluster_db_data(\n+        span,\n+        # the AsyncClusterPipeline has always had a `_client` attr but it is private so potentially problematic and mypy\n+        # does not recognize it - see https://github.com/redis/redis-py/blame/v5.0.0/redis/asyncio/cluster.py#L1386\n+        async_redis_cluster_pipeline_instance._client,  # type: ignore[attr-defined]\n+    )\n \n \n def patch_redis_pipeline(pipeline_cls, is_cluster, get_command_args_fn, set_db_data_fn):\ndiff --git a/sentry_sdk/integrations/redis/asyncio.py b/sentry_sdk/integrations/redis/asyncio.py\nindex 8da323be..09fad342 100644\n--- a/sentry_sdk/integrations/redis/asyncio.py\n+++ b/sentry_sdk/integrations/redis/asyncio.py\n@@ -14,13 +14,15 @@ from sentry_sdk.utils import capture_internal_exceptions\n \n if TYPE_CHECKING:\n     from collections.abc import Callable\n-    from typing import Any\n+    from typing import Any, Union\n+    from redis.asyncio.client import Pipeline, StrictRedis\n+    from redis.asyncio.cluster import ClusterPipeline, RedisCluster\n \n \n def patch_redis_async_pipeline(\n     pipeline_cls, is_cluster, get_command_args_fn, set_db_data_fn\n ):\n-    # type: (type, bool, Any, Callable[[Span, Any], None]) -> None\n+    # type: (Union[type[Pipeline[Any]], type[ClusterPipeline[Any]]], bool, Any, Callable[[Span, Any], None]) -> None\n     old_execute = pipeline_cls.execute\n \n     async def _sentry_execute(self, *args, **kwargs):\n@@ -45,11 +47,11 @@ def patch_redis_async_pipeline(\n \n             return await old_execute(self, *args, **kwargs)\n \n-    pipeline_cls.execute = _sentry_execute\n+    pipeline_cls.execute = _sentry_execute  # type: ignore[method-assign]\n \n \n def patch_redis_async_client(cls, is_cluster, set_db_data_fn):\n-    # type: (type, bool, Callable[[Span, Any], None]) -> None\n+    # type: (Union[type[StrictRedis[Any]], type[RedisCluster[Any]]], bool, Callable[[Span, Any], None]) -> None\n     old_execute_command = cls.execute_command\n \n     async def _sentry_execute_command(self, name, *args, **kwargs):\n@@ -67,4 +69,4 @@ def patch_redis_async_client(cls, is_cluster, set_db_data_fn):\n \n             return await old_execute_command(self, name, *args, **kwargs)\n \n-    cls.execute_command = _sentry_execute_command\n+    cls.execute_command = _sentry_execute_command  # type: ignore[method-assign]\ndiff --git a/tests/integrations/redis/cluster/test_redis_cluster.py b/tests/integrations/redis/cluster/test_redis_cluster.py\nindex 95e6627a..d04bd7ba 100644\n--- a/tests/integrations/redis/cluster/test_redis_cluster.py\n+++ b/tests/integrations/redis/cluster/test_redis_cluster.py\n@@ -17,7 +17,7 @@ def monkeypatch_rediscluster_class(reset_integrations):\n         \"localhost\", 6379\n     )\n     pipeline_cls.execute = lambda *_, **__: None\n-    redis.RedisCluster.execute_command = lambda *_, **__: None\n+    redis.RedisCluster.execute_command = lambda *_, **__: []\n \n \n def test_rediscluster_breadcrumb(sentry_init, capture_events):\n@@ -29,7 +29,15 @@ def test_rediscluster_breadcrumb(sentry_init, capture_events):\n     capture_message(\"hi\")\n \n     (event,) = events\n-    (crumb,) = event[\"breadcrumbs\"][\"values\"]\n+    crumbs = event[\"breadcrumbs\"][\"values\"]\n+\n+    # on initializing a RedisCluster, a COMMAND call is made - this is not important for the test\n+    # but must be accounted for\n+    assert len(crumbs) <= 2\n+    if len(crumbs) == 2:\n+        assert event[\"breadcrumbs\"][\"values\"][0][\"message\"] == \"COMMAND\"\n+\n+    crumb = event[\"breadcrumbs\"][\"values\"][-1]\n \n     assert crumb == {\n         \"category\": \"redis\",\n@@ -65,7 +73,15 @@ def test_rediscluster_basic(sentry_init, capture_events, send_default_pii, descr\n         rc.set(\"bar\", 1)\n \n     (event,) = events\n-    (span,) = event[\"spans\"]\n+    spans = event[\"spans\"]\n+\n+    # on initializing a RedisCluster, a COMMAND call is made - this is not important for the test\n+    # but must be accounted for\n+    assert len(spans) <= 2\n+    if len(spans) == 2:\n+        assert event[\"spans\"][0][\"description\"] == \"COMMAND\"\n+\n+    span = event[\"spans\"][-1]\n     assert span[\"op\"] == \"db.redis\"\n     assert span[\"description\"] == description\n     assert span[\"data\"] == {\n"}

data/8.json

@@ -0,0 +1 @@
+{"head_branch": "add-hardswish-to-nn", "contributor": "james77777778", "sha_fail": "17a3c1dd96375907ff0d0458977600577df3b4c6", "sha_success": "9d86dee1022aecc12faaccf57f2acd405164db1f", "language": "Python", "repo_owner": "keras-team", "repo_name": "keras", "workflow_name": "Tests", "workflow_filename": "actions.yml", "workflow_path": ".github/workflows/actions.yml", "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": "keras/trainers/__init__.py                                       0      0      0      0   100%\nkeras/trainers/compile_utils.py                                367     55    289     41    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             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      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                                     67      5     32      5    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                                      56     38     16      0    28%\nkeras/utils/traceback_utils.py                                 107     63     48      4    35%\nkeras/utils/tracking.py                                        114     13     62      7    81%\nkeras/version.py                                                 5      1      0      0    80%\n----------------------------------------------------------------------------------------------\nTOTAL                                                        37070  13646  14503   1409    61%\n\n=========================== short test summary info ============================\nFAILED keras/ops/nn_test.py::NNOpsDtypeTest::test_hard_sigmoid_bfloat16 - numpy.exceptions.DTypePromotionError: The DTypes <class 'numpy.dtype[bfloat16]'> and <class 'numpy.dtypes.Float16DType'> do not have a common DType. For example they cannot be stored in a single array unless the dtype is `object`.\nFAILED keras/ops/nn_test.py::NNOpsDtypeTest::test_hard_swish_bfloat16 - numpy.exceptions.DTypePromotionError: The DTypes <class 'numpy.dtype[bfloat16]'> and <class 'numpy.dtypes.Float16DType'> do not have a common DType. For example they cannot be stored in a single array unless the dtype is `object`.\n====== 2 failed, 8384 passed, 219 skipped, 1 xpassed in 309.91s (0:05:09) ======\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/keras/backend/tensorflow/nn.py b/keras/backend/tensorflow/nn.py\nindex 0e979656c7..e74155f6a4 100644\n--- a/keras/backend/tensorflow/nn.py\n+++ b/keras/backend/tensorflow/nn.py\n@@ -9,6 +9,7 @@ from keras.backend.common.backend_utils import (\n )\n from keras.backend.config import epsilon\n from keras.backend.tensorflow.core import cast\n+from keras.backend.tensorflow.core import convert_to_tensor\n \n \n def relu(x):\n@@ -51,7 +52,8 @@ def leaky_relu(x, negative_slope=0.2):\n \n \n def hard_sigmoid(x):\n-    x = x / 6.0 + 0.5\n+    x = convert_to_tensor(x)\n+    x = x / tf.constant(6.0, dtype=x.dtype) + tf.constant(0.5, dtype=x.dtype)\n     return tf.clip_by_value(x, 0.0, 1.0)\n \n \ndiff --git a/keras/ops/nn_test.py b/keras/ops/nn_test.py\nindex f3f464f816..3a15fca0eb 100644\n--- a/keras/ops/nn_test.py\n+++ b/keras/ops/nn_test.py\n@@ -1,6 +1,7 @@\n import numpy as np\n import pytest\n from absl.testing import parameterized\n+from tensorflow.python.ops.numpy_ops import np_config\n \n from keras import backend\n from keras import layers\n@@ -24,6 +25,9 @@ from keras.ops import nn as knn\n from keras.ops import numpy as knp\n from keras.testing.test_utils import named_product\n \n+# TODO: remove reliance on this (or alternatively, turn it on by default).\n+np_config.enable_numpy_behavior()\n+\n \n class NNOpsDynamicShapeTest(testing.TestCase, parameterized.TestCase):\n     def test_relu(self):\n"}

data/9.json

@@ -0,0 +1 @@
+{"head_branch": "master", "contributor": "keras-team", "sha_fail": "2989b6f8fc2aca8bf8d0ffa32e58ceeaa3ef35ef", "sha_success": "0484165fa7cba3c095d95da19b1c45945b47c60b", "language": "Python", "repo_owner": "keras-team", "repo_name": "keras", "workflow_name": "Tests", "workflow_filename": "actions.yml", "workflow_path": ".github/workflows/actions.yml", "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_BACKEND: ${{ 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 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: ${{ steps.filter.outputs.applications == 'true' }}\n        uses: codecov/codecov-action@v3\n        with:\n          env_vars: PYTHON,KERAS_BACKEND\n          flags: keras.applications,keras.applications-${{ matrix.backend }}\n          files: apps-coverage.xml\n          fail_ci_if_error: true\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_BACKEND\n          flags: keras,keras-${{ matrix.backend }}\n          files: core-coverage.xml\n          fail_ci_if_error: true\n\n  format:\n    name: Check the code format\n    runs-on: ubuntu-latest\n    steps:\n      - uses: actions/checkout@v3\n      - name: Set up Python 3.9\n        uses: actions/setup-python@v4\n        with:\n          python-version: '3.9'\n      - name: Get pip cache dir\n        id: pip-cache\n        run: |\n          python -m pip install --upgrade pip setuptools\n          echo \"dir=$(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 install -e \".\" --progress-bar off --upgrade\n      - name: Lint\n        run: bash shell/lint.sh\n", "logs": "keras/testing/test_utils.py                                     11      1      4      1    87%\nkeras/trainers/__init__.py                                       0      0      0      0   100%\nkeras/trainers/compile_utils.py                                356     54    281     39    81%\nkeras/trainers/data_adapters/__init__.py                         0      0      0      0   100%\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          41      3      8      3    88%\nkeras/trainers/data_adapters/py_dataset_adapter.py             252     49     80     17    76%\nkeras/trainers/data_adapters/tf_dataset_adapter.py              47      0     20      0   100%\nkeras/trainers/data_adapters/torch_data_adapter.py              46      3     10      3    89%\nkeras/trainers/epoch_iterator.py                               105     13     72     13    83%\nkeras/trainers/trainer.py                                      193     23     89     14    84%\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                                   286     61    202     45    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                              91      6     48      6    90%\nkeras/utils/image_utils.py                                     149     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                                         132     25     60      9    78%\nkeras/utils/python_utils.py                                     62      5     28      4    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     18    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                                      23      2      6      1    90%\nkeras/utils/traceback_utils.py                                 107     79     48      1    19%\nkeras/utils/tracking.py                                         97     10     54      5    82%\nkeras/version.py                                                 1      0      0      0   100%\n----------------------------------------------------------------------------------------------\nTOTAL                                                        34210  12322  13279   1442    62%\n\n=========================== short test summary info ============================\nFAILED keras/callbacks/model_checkpoint_test.py::ModelCheckpointTest::test_model_checkpoint_loading - ValueError: Arguments `target` and `output` must have the same shape. Received: target.shape=torch.Size([5, 1]), output.shape=torch.Size([5, 2])\n=========== 1 failed, 2902 passed, 306 skipped, 1 xpassed in 54.27s ============\n##[error]Process completed with exit code 1.\n", "diff": "diff --git a/examples/keras_io/vision/knowledge_distillation.py b/examples/keras_io/vision/knowledge_distillation.py\nnew file mode 100644\nindex 0000000000..8b0f2796a8\n--- /dev/null\n+++ b/examples/keras_io/vision/knowledge_distillation.py\n@@ -0,0 +1,246 @@\n+\"\"\"\n+Title: Knowledge Distillation\n+Author: [Kenneth Borup](https://twitter.com/Kennethborup)\n+Converted to Keras 3 by: [Md Awsafur Rahman](https://awsaf49.github.io)\n+Date created: 2020/09/01\n+Last modified: 2020/09/01\n+Description: Implementation of classical Knowledge Distillation.\n+Accelerator: GPU\n+\"\"\"\n+\"\"\"\n+## Introduction to Knowledge Distillation\n+\n+Knowledge Distillation is a procedure for model\n+compression, in which a small (student) model is trained to match a large pre-trained\n+(teacher) model. Knowledge is transferred from the teacher model to the student\n+by minimizing a loss function, aimed at matching softened teacher logits as well as\n+ground-truth labels.\n+\n+The logits are softened by applying a \"temperature\" scaling function in the softmax,\n+effectively smoothing out the probability distribution and revealing\n+inter-class relationships learned by the teacher.\n+\n+**Reference:**\n+\n+- [Hinton et al. (2015)](https://arxiv.org/abs/1503.02531)\n+\"\"\"\n+\n+\"\"\"\n+## Setup\n+\"\"\"\n+\n+import os\n+\n+os.environ[\"KERAS_BACKEND\"] = \"tensorflow\"\n+\n+import keras\n+from keras import layers\n+from keras import ops\n+import tensorflow as tf\n+import numpy as np\n+\n+\"\"\"\n+## Construct `Distiller()` class\n+\n+The custom `Distiller()` class, overrides the `Model` methods `compile`, `compute_loss`,\n+and `call`. In order to use the distiller, we need:\n+\n+- A trained teacher model\n+- A student model to train\n+- A student loss function on the difference between student predictions and ground-truth\n+- A distillation loss function, along with a `temperature`, on the difference between the\n+soft student predictions and the soft teacher labels\n+- An `alpha` factor to weight the student and distillation loss\n+- An optimizer for the student and (optional) metrics to evaluate performance\n+\n+In the `compute_loss` method, we perform a forward pass of both the teacher and student,\n+calculate the loss with weighting of the `student_loss` and `distillation_loss` by `alpha`\n+and `1 - alpha`, respectively. Note: only the student weights are updated.\n+\"\"\"\n+\n+\n+class Distiller(keras.Model):\n+    def __init__(self, student, teacher):\n+        super().__init__()\n+        self.teacher = teacher\n+        self.student = student\n+\n+    def compile(\n+        self,\n+        optimizer,\n+        metrics,\n+        student_loss_fn,\n+        distillation_loss_fn,\n+        alpha=0.1,\n+        temperature=3,\n+    ):\n+        \"\"\"Configure the distiller.\n+\n+        Args:\n+            optimizer: Keras optimizer for the student weights\n+            metrics: Keras metrics for evaluation\n+            student_loss_fn: Loss function of difference between student\n+                predictions and ground-truth\n+            distillation_loss_fn: Loss function of difference between soft\n+                student predictions and soft teacher predictions\n+            alpha: weight to student_loss_fn and 1-alpha to distillation_loss_fn\n+            temperature: Temperature for softening probability distributions.\n+                Larger temperature gives softer distributions.\n+        \"\"\"\n+        super().compile(optimizer=optimizer, metrics=metrics)\n+        self.student_loss_fn = student_loss_fn\n+        self.distillation_loss_fn = distillation_loss_fn\n+        self.alpha = alpha\n+        self.temperature = temperature\n+\n+    def compute_loss(\n+        self, x=None, y=None, y_pred=None, sample_weight=None, allow_empty=False\n+    ):\n+        teacher_pred = self.teacher(x, training=False)\n+        student_loss = self.student_loss_fn(y, y_pred)\n+\n+        distillation_loss = self.distillation_loss_fn(\n+            ops.softmax(teacher_pred / self.temperature, axis=1),\n+            ops.softmax(y_pred / self.temperature, axis=1),\n+        ) * (self.temperature**2)\n+\n+        loss = self.alpha * student_loss + (1 - self.alpha) * distillation_loss\n+        return loss\n+\n+    def call(self, x):\n+        return self.student(x)\n+\n+\n+\"\"\"\n+## Create student and teacher models\n+\n+Initialy, we create a teacher model and a smaller student model. Both models are\n+convolutional neural networks and created using `Sequential()`,\n+but could be any Keras model.\n+\"\"\"\n+\n+# Create the teacher\n+teacher = keras.Sequential(\n+    [\n+        keras.Input(shape=(28, 28, 1)),\n+        layers.Conv2D(256, (3, 3), strides=(2, 2), padding=\"same\"),\n+        layers.LeakyReLU(negative_slope=0.2),\n+        layers.MaxPooling2D(pool_size=(2, 2), strides=(1, 1), padding=\"same\"),\n+        layers.Conv2D(512, (3, 3), strides=(2, 2), padding=\"same\"),\n+        layers.Flatten(),\n+        layers.Dense(10),\n+    ],\n+    name=\"teacher\",\n+)\n+\n+# Create the student\n+student = keras.Sequential(\n+    [\n+        keras.Input(shape=(28, 28, 1)),\n+        layers.Conv2D(16, (3, 3), strides=(2, 2), padding=\"same\"),\n+        layers.LeakyReLU(negative_slope=0.2),\n+        layers.MaxPooling2D(pool_size=(2, 2), strides=(1, 1), padding=\"same\"),\n+        layers.Conv2D(32, (3, 3), strides=(2, 2), padding=\"same\"),\n+        layers.Flatten(),\n+        layers.Dense(10),\n+    ],\n+    name=\"student\",\n+)\n+\n+# Clone student for later comparison\n+student_scratch = keras.models.clone_model(student)\n+\n+\"\"\"\n+## Prepare the dataset\n+\n+The dataset used for training the teacher and distilling the teacher is\n+[MNIST](https://keras.io/api/datasets/mnist/), and the procedure would be equivalent for\n+any other\n+dataset, e.g. [CIFAR-10](https://keras.io/api/datasets/cifar10/), with a suitable choice\n+of models. Both the student and teacher are trained on the training set and evaluated on\n+the test set.\n+\"\"\"\n+\n+# Prepare the train and test dataset.\n+batch_size = 64\n+(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()\n+\n+# Normalize data\n+x_train = x_train.astype(\"float32\") / 255.0\n+x_train = np.reshape(x_train, (-1, 28, 28, 1))\n+\n+x_test = x_test.astype(\"float32\") / 255.0\n+x_test = np.reshape(x_test, (-1, 28, 28, 1))\n+\n+\n+\"\"\"\n+## Train the teacher\n+\n+In knowledge distillation we assume that the teacher is trained and fixed. Thus, we start\n+by training the teacher model on the training set in the usual way.\n+\"\"\"\n+\n+# Train teacher as usual\n+teacher.compile(\n+    optimizer=keras.optimizers.Adam(),\n+    loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n+    metrics=[keras.metrics.SparseCategoricalAccuracy()],\n+)\n+\n+# Train and evaluate teacher on data.\n+teacher.fit(x_train, y_train, epochs=5)\n+teacher.evaluate(x_test, y_test)\n+\n+\"\"\"\n+## Distill teacher to student\n+\n+We have already trained the teacher model, and we only need to initialize a\n+`Distiller(student, teacher)` instance, `compile()` it with the desired losses,\n+hyperparameters and optimizer, and distill the teacher to the student.\n+\"\"\"\n+\n+# Initialize and compile distiller\n+distiller = Distiller(student=student, teacher=teacher)\n+distiller.compile(\n+    optimizer=keras.optimizers.Adam(),\n+    metrics=[keras.metrics.SparseCategoricalAccuracy()],\n+    student_loss_fn=keras.losses.SparseCategoricalCrossentropy(\n+        from_logits=True\n+    ),\n+    distillation_loss_fn=keras.losses.KLDivergence(),\n+    alpha=0.1,\n+    temperature=10,\n+)\n+\n+# Distill teacher to student\n+distiller.fit(x_train, y_train, epochs=3)\n+\n+# Evaluate student on test dataset\n+distiller.evaluate(x_test, y_test)\n+\n+\"\"\"\n+## Train student from scratch for comparison\n+\n+We can also train an equivalent student model from scratch without the teacher, in order\n+to evaluate the performance gain obtained by knowledge distillation.\n+\"\"\"\n+\n+# Train student as doen usually\n+student_scratch.compile(\n+    optimizer=keras.optimizers.Adam(),\n+    loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n+    metrics=[keras.metrics.SparseCategoricalAccuracy()],\n+)\n+\n+# Train and evaluate student trained from scratch.\n+student_scratch.fit(x_train, y_train, epochs=3)\n+student_scratch.evaluate(x_test, y_test)\n+\n+\"\"\"\n+If the teacher is trained for 5 full epochs and the student is distilled on this teacher\n+for 3 full epochs, you should in this example experience a performance boost compared to\n+training the same student model from scratch, and even compared to the teacher itself.\n+You should expect the teacher to have accuracy around 97.6%, the student trained from\n+scratch should be around 97.6%, and the distilled student should be around 98.1%. Remove\n+or try out different seeds to use different weight initializations.\n+\"\"\"\n"}