"""simple docstring"""




import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
			import torch

			from transformers.generation import DisjunctiveConstraint

@require_torch
class    a_   (  unittest.TestCase      ):




					def     _SCREAMING_SNAKE_CASE    (						self    :  List[str]  ):
							# For consistency across different places the DisjunctiveConstraint is called,
							# dc.token_ids is a list of integers. It is also initialized only by integers.

							lowerCAmelCase__   = [[1, 2, 4], [1, 2, 3, 4]]
							lowerCAmelCase__   = DisjunctiveConstraint(snake_case__  )
							self.assertTrue(isinstance(dc.token_ids	,    snake_case__  )  )

							with self.assertRaises(snake_case__  ):
									DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]  )  )

							with self.assertRaises(snake_case__  ):
									DisjunctiveConstraint([torch.LongTensor([1, 2, 4]  ), torch.LongTensor([1, 2, 3, 4, 5]  )]  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  Union[str, Any]  ):
							# We can't have constraints that are complete subsets of another. This leads to a preverse
							# interpretation of "constraint fulfillment": does generating [1,2,3] fulfill the constraint?
							# It would mean that it generated [1,2] which fulfills it, but it's in the middle of potentially
							# fulfilling [1,2,3,4]. If we believe that [1,2,3] does fulfill the constraint, then the algorithm
							# will necessarily never reach [1,2,3,4], giving users a false sense of control (better to just not allow it).
							lowerCAmelCase__   = [[1, 2], [1, 2, 3, 4]]

							with self.assertRaises(snake_case__  ):
									DisjunctiveConstraint(snake_case__  )  # fails here




					def     _SCREAMING_SNAKE_CASE    (						self    :  Optional[Any]  ):
							lowerCAmelCase__   = [[1, 2, 3], [1, 2, 4]]

							lowerCAmelCase__   = DisjunctiveConstraint(snake_case__  )

							lowerCAmelCase__ ,       lowerCAmelCase__ ,       lowerCAmelCase__   = dc.update(1  )
							lowerCAmelCase__   = stepped is True and completed is False and reset is False
							self.assertTrue(snake_case__  )
							self.assertTrue(not dc.completed  )
							self.assertTrue(dc.current_seq == [1]  )

							lowerCAmelCase__ ,       lowerCAmelCase__ ,       lowerCAmelCase__   = dc.update(2  )
							lowerCAmelCase__   = stepped is True and completed is False and reset is False
							self.assertTrue(snake_case__  )
							self.assertTrue(not dc.completed  )
							self.assertTrue(dc.current_seq == [1, 2]  )

							lowerCAmelCase__ ,       lowerCAmelCase__ ,       lowerCAmelCase__   = dc.update(3  )
							lowerCAmelCase__   = stepped is True and completed is True and reset is False
							self.assertTrue(snake_case__  )
							self.assertTrue(dc.completed  )  # Completed!
							self.assertTrue(dc.current_seq == [1, 2, 3]  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  Optional[int]  ):
							lowerCAmelCase__   = [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

							lowerCAmelCase__   = DisjunctiveConstraint(snake_case__  )

							lowerCAmelCase__ ,       lowerCAmelCase__ ,       lowerCAmelCase__   = dc.update(1  )
							self.assertTrue(not dc.completed  )
							self.assertTrue(dc.current_seq == [1]  )

							lowerCAmelCase__ ,       lowerCAmelCase__ ,       lowerCAmelCase__   = dc.update(2  )
							self.assertTrue(not dc.completed  )
							self.assertTrue(dc.current_seq == [1, 2]  )

							lowerCAmelCase__ ,       lowerCAmelCase__ ,       lowerCAmelCase__   = dc.update(4  )
							self.assertTrue(not dc.completed  )
							self.assertTrue(dc.current_seq == [1, 2, 4]  )

							lowerCAmelCase__ ,       lowerCAmelCase__ ,       lowerCAmelCase__   = dc.update(5  )
							self.assertTrue(dc.completed  )  # Completed!
							self.assertTrue(dc.current_seq == [1, 2, 4, 5]  )

							dc.reset()

							lowerCAmelCase__ ,       lowerCAmelCase__ ,       lowerCAmelCase__   = dc.update(1  )
							self.assertTrue(not dc.completed  )
							self.assertTrue(dc.remaining() == 3  )
							self.assertTrue(dc.current_seq == [1]  )

							lowerCAmelCase__ ,       lowerCAmelCase__ ,       lowerCAmelCase__   = dc.update(2  )
							self.assertTrue(not dc.completed  )
							self.assertTrue(dc.remaining() == 2  )
							self.assertTrue(dc.current_seq == [1, 2]  )

							lowerCAmelCase__ ,       lowerCAmelCase__ ,       lowerCAmelCase__   = dc.update(5  )
							self.assertTrue(dc.completed  )  # Completed!
							self.assertTrue(dc.remaining() == 0  )
							self.assertTrue(dc.current_seq == [1, 2, 5]  )





"""simple docstring"""




import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


__lowerCAmelCase     :				str    				=    "__DUMMY_TRANSFORMERS_USER__"
__lowerCAmelCase     :				Dict    				=    "Dummy User"
__lowerCAmelCase     :				Optional[Any]    				=    "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"

__lowerCAmelCase     :				str    				=    "https://hub-ci.huggingface.co"
__lowerCAmelCase     :				int    				=    CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}"
__lowerCAmelCase     :				Dict    				=    CI_HUB_ENDPOINT + "/{repo_id}/resolve/{revision}/{filename}"
__lowerCAmelCase     :				Optional[Any]    				=    Path("~/.huggingface/hub_ci_token").expanduser()







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		monkeypatch.setattr(
		    """huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"""      ,	lowerCamelCase__  )







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		monkeypatch.setattr("""datasets.config.HF_ENDPOINT"""      ,	lowerCamelCase__  )
		monkeypatch.setattr("""datasets.config.HUB_DATASETS_URL"""      ,	lowerCamelCase__  )







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		monkeypatch.setattr("""huggingface_hub.hf_api.HfFolder.path_token"""      ,	lowerCamelCase__  )







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		HfFolder.save_token(lowerCamelCase__  )
		yield
		HfFolder.delete_token()







@pytest.fixture(scope="""session"""  )
def 				_UpperCAmelCase		(							):





		"""simple docstring"""




		return HfApi(endpoint=lowerCamelCase__  )







@pytest.fixture(scope="""session"""  )
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = HfFolder.get_token()
		HfFolder.save_token(lowerCamelCase__  )
		yield CI_HUB_USER_TOKEN
		if previous_token is not None:
				HfFolder.save_token(lowerCamelCase__  )







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		def _cleanup_repo(lowerCamelCase__  ):
				hf_api.delete_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""  )

		return _cleanup_repo







@pytest.fixture
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		@contextmanager
		def _temporary_repo(lowerCamelCase__  ):
				try:
						yield repo_id
				finally:
						cleanup_repo(lowerCamelCase__  )

		return _temporary_repo







@pytest.fixture(scope="""session"""  )
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = f"""repo_txt_data-{int(time.time() * 10e3  )}"""
		lowerCAmelCase__   = f"""{CI_HUB_USER}/{repo_name}"""
		hf_api.create_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""      ,	private=lowerCamelCase__  )
		hf_api.upload_file(
		    token=lowerCamelCase__      ,	path_or_fileobj=str(lowerCamelCase__  )      ,	path_in_repo="""data/text_data.txt"""      ,	repo_id=lowerCamelCase__      ,	repo_type="""dataset"""      ,	)
		yield repo_id
		try:
				hf_api.delete_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""  )
		except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
				pass







@pytest.fixture()
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		return hf_private_dataset_repo_txt_data_







@pytest.fixture(scope="""session"""  )
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = f"""repo_zipped_txt_data-{int(time.time() * 10e3  )}"""
		lowerCAmelCase__   = f"""{CI_HUB_USER}/{repo_name}"""
		hf_api.create_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""      ,	private=lowerCamelCase__  )
		hf_api.upload_file(
		    token=lowerCamelCase__      ,	path_or_fileobj=str(lowerCamelCase__  )      ,	path_in_repo="""data.zip"""      ,	repo_id=lowerCamelCase__      ,	repo_type="""dataset"""      ,	)
		yield repo_id
		try:
				hf_api.delete_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""  )
		except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
				pass







@pytest.fixture()
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		return hf_private_dataset_repo_zipped_txt_data_







@pytest.fixture(scope="""session"""  )
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = f"""repo_zipped_img_data-{int(time.time() * 10e3  )}"""
		lowerCAmelCase__   = f"""{CI_HUB_USER}/{repo_name}"""
		hf_api.create_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""      ,	private=lowerCamelCase__  )
		hf_api.upload_file(
		    token=lowerCamelCase__      ,	path_or_fileobj=str(lowerCamelCase__  )      ,	path_in_repo="""data.zip"""      ,	repo_id=lowerCamelCase__      ,	repo_type="""dataset"""      ,	)
		yield repo_id
		try:
				hf_api.delete_repo(lowerCamelCase__      ,	token=lowerCamelCase__      ,	repo_type="""dataset"""  )
		except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
				pass







@pytest.fixture()
def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		return hf_private_dataset_repo_zipped_img_data_




