

import argparse
from collections import defaultdict

import yaml


_UpperCAmelCase		:       Union[str, Any]						    =	"""docs/source/en/_toctree.yml"""





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   defaultdict(UpperCamelCase__				)
							snake_case_          =   []
							snake_case_          =   []
							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(UpperCamelCase__				)

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

							snake_case_          =   []
							for duplicate_key in duplicates:
														snake_case_          =   list({doc['title'] for doc in doc_list if doc['local'] == duplicate_key}				)
														if len(UpperCamelCase__				) > 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]				)
							snake_case_          =   sorted(UpperCamelCase__       ,							key=lambda UpperCamelCase__				: s["title"].lower()				)

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

							overview_doc.extend(UpperCamelCase__				)

							# Sort
							return overview_doc





def  __lowerCamelCase     (			UpperCamelCase__=False				):







							'''simple docstring'''






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

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

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

							snake_case_          =   api_doc[scheduler_idx]['sections']
							snake_case_          =   clean_doc_toc(UpperCamelCase__				)

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

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





def  __lowerCamelCase     (			UpperCamelCase__=False				):







							'''simple docstring'''






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

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

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

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

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

							# sort overall pipeline doc
							snake_case_          =   clean_doc_toc(UpperCamelCase__				)

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

							if diff:
														if overwrite:
																					snake_case_          =   api_doc
																					with open(UpperCamelCase__       ,							'w'       ,							encoding='utf-8'				) as f:
																												f.write(yaml.dump(UpperCamelCase__       ,							allow_unicode=UpperCamelCase__				)				)
														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__":
					_UpperCAmelCase		:       Dict						    =	argparse.ArgumentParser()
					parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
					_UpperCAmelCase		:       Tuple						    =	parser.parse_args()

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







from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
					if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
					from .pipeline_unclip import UnCLIPPipeline
					from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
					from .text_proj import UnCLIPTextProjModel




