



import argparse
from collections import defaultdict

import yaml


lowercase_	       =			'''docs/source/en/_toctree.yml'''






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Dict	)  ->						Dict:
					__lowerCAmelCase	   =defaultdict(__lowerCamelCase	)
					__lowerCAmelCase	   =[]
					__lowerCAmelCase	   =[]
					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(__lowerCamelCase	)

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

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

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

					overview_doc.extend(__lowerCamelCase	)

					# Sort
					return overview_doc






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Dict=False	)  ->						Union[str, Any]:
					with open(__lowerCamelCase				,   encoding="""utf-8"""	) as f:
										__lowerCAmelCase	   =yaml.safe_load(f.read()	)

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

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

					__lowerCAmelCase	   =api_doc[scheduler_idx]["""sections"""]
					__lowerCAmelCase	   =clean_doc_toc(__lowerCamelCase	)

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

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






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Tuple=False	)  ->						int:
					with open(__lowerCamelCase				,   encoding="""utf-8"""	) as f:
										__lowerCAmelCase	   =yaml.safe_load(f.read()	)

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

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

					__lowerCAmelCase	   =False
					__lowerCAmelCase	   =api_doc[pipeline_idx]["""sections"""]
					__lowerCAmelCase	   =[]

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

					# sort overall pipeline doc
					__lowerCAmelCase	   =clean_doc_toc(__lowerCamelCase	)

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

					if diff:
										if overwrite:
															__lowerCAmelCase	   =api_doc
															with open(__lowerCamelCase				,   """w"""				,   encoding="""utf-8"""	) as f:
																				f.write(yaml.dump(__lowerCamelCase				,   allow_unicode=__lowerCamelCase	)	)
										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_	       =			argparse.ArgumentParser()
				parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
				lowercase_	       =			parser.parse_args()

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









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowercase_	       =			{
    '''configuration_encodec''': [
        '''ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EncodecConfig''',
    ],
    '''feature_extraction_encodec''': ['''EncodecFeatureExtractor'''],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase_	       =			[
				    '''ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''EncodecModel''',
				    '''EncodecPreTrainedModel''',
				]

if TYPE_CHECKING:
				from .configuration_encodec import (
				    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    EncodecConfig,
				)
				from .feature_extraction_encodec import EncodecFeatureExtractor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_encodec import (
								    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
								    EncodecModel,
								    EncodecPreTrainedModel,
								)

else:
				import sys

				lowercase_	       =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




