


'''simple docstring'''



import argparse
from collections import defaultdict

import yaml


_lowercase    :    Dict			     =  """docs/source/en/_toctree.yml"""


def    lowerCamelCase__   ( A     :    Any  ):
						UpperCAmelCase         =			defaultdict(A  )
						UpperCAmelCase         =			[]
						UpperCAmelCase         =			[]
						for doc in doc_list:
												if "local" in doc:
																		counts[doc["local"]] += 1

												if doc["title"].lower() == "overview":
																		overview_doc.append({'''local''': doc['''local'''], '''title''': doc['''title''']}  )
												else:
																		new_doc_list.append(A  )

						UpperCAmelCase         =			new_doc_list
						UpperCAmelCase         =			[key for key, value in counts.items() if value > 1]

						UpperCAmelCase         =			[]
						for duplicate_key in duplicates:
												UpperCAmelCase         =			list({doc['''title'''] for doc in doc_list if doc['''local'''] == duplicate_key}  )
												if len(A  ) > 1:
																		raise ValueError(
																		    f"""{duplicate_key} is present several times in the documentation table of content at """
																		    '''`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '''
																		    '''others.'''  )
												# Only add this once
												new_doc.append({'''local''': duplicate_key, '''title''': titles[0]}  )

						# Add none duplicate-keys
						new_doc.extend([doc for doc in doc_list if '''local''' not in counts or counts[doc['''local''']] == 1]  )
						UpperCAmelCase         =			sorted(A   ,     key=lambda A  : s["title"].lower()  )

						# "overview" gets special treatment and is always first
						if len(A  ) > 1:
												raise ValueError('''{doc_list} has two \'overview\' docs which is not allowed.'''  )

						overview_doc.extend(A  )

						# Sort
						return overview_doc


def    lowerCamelCase__   ( A     :    Tuple=False  ):






						with open(A   ,     encoding='''utf-8'''  ) as f:
												UpperCAmelCase         =			yaml.safe_load(f.read()  )

						# Get to the API doc
						UpperCAmelCase         =			0
						while content[api_idx]["title"] != "API":
												api_idx += 1
						UpperCAmelCase         =			content[api_idx]['''sections''']

						# Then to the model doc
						UpperCAmelCase         =			0
						while api_doc[scheduler_idx]["title"] != "Schedulers":
												scheduler_idx += 1

						UpperCAmelCase         =			api_doc[scheduler_idx]['''sections''']
						UpperCAmelCase         =			clean_doc_toc(A  )

						UpperCAmelCase         =			False
						if new_scheduler_doc != scheduler_doc:
												UpperCAmelCase         =			True
												if overwrite:
																		UpperCAmelCase         =			new_scheduler_doc

						if diff:
												if overwrite:
																		UpperCAmelCase         =			api_doc
																		with open(A   ,     '''w'''   ,     encoding='''utf-8'''  ) as f:
																								f.write(yaml.dump(A   ,     allow_unicode=A  )  )
												else:
																		raise ValueError(
																		    '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''  )


def    lowerCamelCase__   ( A     :    Optional[Any]=False  ):






						with open(A   ,     encoding='''utf-8'''  ) as f:
												UpperCAmelCase         =			yaml.safe_load(f.read()  )

						# Get to the API doc
						UpperCAmelCase         =			0
						while content[api_idx]["title"] != "API":
												api_idx += 1
						UpperCAmelCase         =			content[api_idx]['''sections''']

						# Then to the model doc
						UpperCAmelCase         =			0
						while api_doc[pipeline_idx]["title"] != "Pipelines":
												pipeline_idx += 1

						UpperCAmelCase         =			False
						UpperCAmelCase         =			api_doc[pipeline_idx]['''sections''']
						UpperCAmelCase         =			[]

						# sort sub pipeline docs
						for pipeline_doc in pipeline_docs:
												if "section" in pipeline_doc:
																		UpperCAmelCase         =			pipeline_doc['''section''']
																		UpperCAmelCase         =			clean_doc_toc(A  )
																		if overwrite:
																								UpperCAmelCase         =			new_sub_pipeline_doc
												new_pipeline_docs.append(A  )

						# sort overall pipeline doc
						UpperCAmelCase         =			clean_doc_toc(A  )

						if new_pipeline_docs != pipeline_docs:
												UpperCAmelCase         =			True
												if overwrite:
																		UpperCAmelCase         =			new_pipeline_docs

						if diff:
												if overwrite:
																		UpperCAmelCase         =			api_doc
																		with open(A   ,     '''w'''   ,     encoding='''utf-8'''  ) as f:
																								f.write(yaml.dump(A   ,     allow_unicode=A  )  )
												else:
																		raise ValueError(
																		    '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''  )


if __name__ == "__main__":
	_lowercase    :    List[str]			     =  argparse.ArgumentParser()
	parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
	_lowercase    :    Optional[Any]			     =  parser.parse_args()

	check_scheduler_doc(args.fix_and_overwrite)
	check_pipeline_doc(args.fix_and_overwrite)









'''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  UpperCamelCase__(     unittest.TestCase ):




				def   a__(	self    :				Optional[int]   )->  str:

										"""simple docstring"""




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

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

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




				def   a__(	self    :				Union[str, Any]   )->  str:

										"""simple docstring"""




										UpperCAmelCase         =			[[1, 2], [1, 2, 3, 4]]

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




				def   a__(	self    :				Any   )->  Optional[int]:

										"""simple docstring"""




										UpperCAmelCase         =			[[1, 2, 3], [1, 2, 4]]

										UpperCAmelCase         =			DisjunctiveConstraint(lowerCAmelCase   )

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

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

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





				def   a__(	self    :				int   )->  Dict:

										"""simple docstring"""




										UpperCAmelCase         =			[[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

										UpperCAmelCase         =			DisjunctiveConstraint(lowerCAmelCase   )

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

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

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

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

										dc.reset()

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

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

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





