





import time
from contextlib import contextmanager
from pathlib import Path

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


snake_case_     :       str						=  "__DUMMY_TRANSFORMERS_USER__"
snake_case_     :       Optional[Any]						=  "Dummy User"
snake_case_     :       Optional[int]						=  "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"

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





@pytest.fixture
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			Optional[Any]   ) ->	List[str]:
						monkeypatch.setattr(
						    '''huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE''',			SCREAMING_SNAKE_CASE__   )





@pytest.fixture
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			Optional[int]   ) ->	Dict:
						monkeypatch.setattr('''datasets.config.HF_ENDPOINT''',			SCREAMING_SNAKE_CASE__   )
						monkeypatch.setattr('''datasets.config.HUB_DATASETS_URL''',			SCREAMING_SNAKE_CASE__   )





@pytest.fixture
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			Dict   ) ->	Optional[Any]:
						monkeypatch.setattr('''huggingface_hub.hf_api.HfFolder.path_token''',			SCREAMING_SNAKE_CASE__   )





@pytest.fixture
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			str,			SCREAMING_SNAKE_CASE__      :			List[str]   ) ->	Dict:
						HfFolder.save_token(SCREAMING_SNAKE_CASE__   )
						yield
						HfFolder.delete_token()





@pytest.fixture(scope='''session'''   )
def        lowerCamelCase_      (  ) ->	Dict:
						return HfApi(endpoint=SCREAMING_SNAKE_CASE__   )





@pytest.fixture(scope='''session'''   )
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			HfApi   ) ->	List[str]:
						UpperCAmelCase_			:      Dict     						=  HfFolder.get_token()
						HfFolder.save_token(SCREAMING_SNAKE_CASE__   )
						yield CI_HUB_USER_TOKEN
						if previous_token is not None:
												HfFolder.save_token(SCREAMING_SNAKE_CASE__   )





@pytest.fixture
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			List[str]   ) ->	Dict:
						def _cleanup_repo(SCREAMING_SNAKE_CASE__      :			Optional[Any]   ):
												hf_api.delete_repo(SCREAMING_SNAKE_CASE__,			token=SCREAMING_SNAKE_CASE__,			repo_type='''dataset'''   )

						return _cleanup_repo





@pytest.fixture
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			List[Any]   ) ->	Optional[Any]:
						@contextmanager
						def _temporary_repo(SCREAMING_SNAKE_CASE__      :			List[str]   ):
												try:
																		yield repo_id
												finally:
																		cleanup_repo(SCREAMING_SNAKE_CASE__   )

						return _temporary_repo





@pytest.fixture(scope='''session'''   )
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			HfApi,			SCREAMING_SNAKE_CASE__      :			Dict,			SCREAMING_SNAKE_CASE__      :			List[str]   ) ->	Any:
						UpperCAmelCase_			:      Optional[Any]     						=  F"""repo_txt_data-{int(time.time() * 10E3   )}"""
						UpperCAmelCase_			:      Tuple     						=  F"""{CI_HUB_USER}/{repo_name}"""
						hf_api.create_repo(SCREAMING_SNAKE_CASE__,			token=SCREAMING_SNAKE_CASE__,			repo_type='''dataset''',			private=SCREAMING_SNAKE_CASE__   )
						hf_api.upload_file(
						    token=SCREAMING_SNAKE_CASE__,			path_or_fileobj=str(SCREAMING_SNAKE_CASE__   ),			path_in_repo='''data/text_data.txt''',			repo_id=SCREAMING_SNAKE_CASE__,			repo_type='''dataset''',			)
						yield repo_id
						try:
												hf_api.delete_repo(SCREAMING_SNAKE_CASE__,			token=SCREAMING_SNAKE_CASE__,			repo_type='''dataset'''   )
						except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
												pass





@pytest.fixture()
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			List[str],			SCREAMING_SNAKE_CASE__      :			Dict,			SCREAMING_SNAKE_CASE__      :			str   ) ->	Dict:
						return hf_private_dataset_repo_txt_data_





@pytest.fixture(scope='''session'''   )
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			HfApi,			SCREAMING_SNAKE_CASE__      :			Dict,			SCREAMING_SNAKE_CASE__      :			List[str]   ) ->	Union[str, Any]:
						UpperCAmelCase_			:      Dict     						=  F"""repo_zipped_txt_data-{int(time.time() * 10E3   )}"""
						UpperCAmelCase_			:      str     						=  F"""{CI_HUB_USER}/{repo_name}"""
						hf_api.create_repo(SCREAMING_SNAKE_CASE__,			token=SCREAMING_SNAKE_CASE__,			repo_type='''dataset''',			private=SCREAMING_SNAKE_CASE__   )
						hf_api.upload_file(
						    token=SCREAMING_SNAKE_CASE__,			path_or_fileobj=str(SCREAMING_SNAKE_CASE__   ),			path_in_repo='''data.zip''',			repo_id=SCREAMING_SNAKE_CASE__,			repo_type='''dataset''',			)
						yield repo_id
						try:
												hf_api.delete_repo(SCREAMING_SNAKE_CASE__,			token=SCREAMING_SNAKE_CASE__,			repo_type='''dataset'''   )
						except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
												pass





@pytest.fixture()
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			Optional[Any],			SCREAMING_SNAKE_CASE__      :			Optional[Any],			SCREAMING_SNAKE_CASE__      :			str   ) ->	Optional[Any]:
						return hf_private_dataset_repo_zipped_txt_data_





@pytest.fixture(scope='''session'''   )
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			HfApi,			SCREAMING_SNAKE_CASE__      :			Dict,			SCREAMING_SNAKE_CASE__      :			Any   ) ->	Tuple:
						UpperCAmelCase_			:      str     						=  F"""repo_zipped_img_data-{int(time.time() * 10E3   )}"""
						UpperCAmelCase_			:      Dict     						=  F"""{CI_HUB_USER}/{repo_name}"""
						hf_api.create_repo(SCREAMING_SNAKE_CASE__,			token=SCREAMING_SNAKE_CASE__,			repo_type='''dataset''',			private=SCREAMING_SNAKE_CASE__   )
						hf_api.upload_file(
						    token=SCREAMING_SNAKE_CASE__,			path_or_fileobj=str(SCREAMING_SNAKE_CASE__   ),			path_in_repo='''data.zip''',			repo_id=SCREAMING_SNAKE_CASE__,			repo_type='''dataset''',			)
						yield repo_id
						try:
												hf_api.delete_repo(SCREAMING_SNAKE_CASE__,			token=SCREAMING_SNAKE_CASE__,			repo_type='''dataset'''   )
						except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
												pass





@pytest.fixture()
def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			Any,			SCREAMING_SNAKE_CASE__      :			Dict,			SCREAMING_SNAKE_CASE__      :			List[str]   ) ->	Any:
						return hf_private_dataset_repo_zipped_img_data_












'''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     UpperCAmelCase__	(							self							:     Optional[Any]   )					->       List[Any]:







													"""simple docstring"""
													# For consistency across different places the DisjunctiveConstraint is called,
													# dc.token_ids is a list of integers. It is also initialized only by integers.

													UpperCAmelCase_			:      List[str]     						=  [[1, 2, 4], [1, 2, 3, 4]]
													UpperCAmelCase_			:      List[str]     						=  DisjunctiveConstraint(__magic_name__   )
													self.assertTrue(isinstance(dc.token_ids       ,     __magic_name__   )   )

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

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

							def     UpperCAmelCase__	(							self							:     List[str]   )					->       Dict:







													"""simple docstring"""
													# 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).
													UpperCAmelCase_			:      Tuple     						=  [[1, 2], [1, 2, 3, 4]]

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

							def     UpperCAmelCase__	(							self							:     Optional[int]   )					->       Union[str, Any]:







													"""simple docstring"""
													UpperCAmelCase_			:      Optional[int]     						=  [[1, 2, 3], [1, 2, 4]]

													UpperCAmelCase_			:      List[str]     						=  DisjunctiveConstraint(__magic_name__   )

													UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_			:      List[Any]     						=  dc.update(1   )
													UpperCAmelCase_			:      Dict     						=  stepped is True and completed is False and reset is False
													self.assertTrue(__magic_name__   )
													self.assertTrue(not dc.completed   )
													self.assertTrue(dc.current_seq == [1]   )

													UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_			:      str     						=  dc.update(2   )
													UpperCAmelCase_			:      Optional[Any]     						=  stepped is True and completed is False and reset is False
													self.assertTrue(__magic_name__   )
													self.assertTrue(not dc.completed   )
													self.assertTrue(dc.current_seq == [1, 2]   )

													UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_			:      List[Any]     						=  dc.update(3   )
													UpperCAmelCase_			:      Dict     						=  stepped is True and completed is True and reset is False
													self.assertTrue(__magic_name__   )
													self.assertTrue(dc.completed   )  # Completed!
													self.assertTrue(dc.current_seq == [1, 2, 3]   )



							def     UpperCAmelCase__	(							self							:     int   )					->       Dict:







													"""simple docstring"""
													UpperCAmelCase_			:      Any     						=  [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

													UpperCAmelCase_			:      Tuple     						=  DisjunctiveConstraint(__magic_name__   )

													UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_			:      List[Any]     						=  dc.update(1   )
													self.assertTrue(not dc.completed   )
													self.assertTrue(dc.current_seq == [1]   )

													UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_			:      Optional[int]     						=  dc.update(2   )
													self.assertTrue(not dc.completed   )
													self.assertTrue(dc.current_seq == [1, 2]   )

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

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

													dc.reset()

													UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_			:      List[Any]     						=  dc.update(1   )
													self.assertTrue(not dc.completed   )
													self.assertTrue(dc.remaining() == 3   )
													self.assertTrue(dc.current_seq == [1]   )

													UpperCAmelCase_						,       UpperCAmelCase_						,       UpperCAmelCase_			:      Optional[Any]     						=  dc.update(2   )
													self.assertTrue(not dc.completed   )
													self.assertTrue(dc.remaining() == 2   )
													self.assertTrue(dc.current_seq == [1, 2]   )

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





