
import argparse
from collections import defaultdict

import yaml


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




def  lowerCamelCase__ (  a__     :     List[Any]   )						->		str:
       UpperCamelCase_											=				defaultdict(__lowerCAmelCase   )
       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(__lowerCAmelCase   )

       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(__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]   )
       UpperCamelCase_											=				sorted(__lowerCAmelCase		,					key=lambda a__   : 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__ (  a__     :     str=False   )						->		Optional[Any]:
       with open(__lowerCAmelCase		,					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(__lowerCAmelCase   )

       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(__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__ (  a__     :     Any=False   )						->		List[Any]:
       with open(__lowerCAmelCase		,					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(__lowerCAmelCase   )
                     if overwrite:
                            UpperCamelCase_											=				new_sub_pipeline_doc
              new_pipeline_docs.append(__lowerCAmelCase   )

       # sort overall pipeline doc
       UpperCamelCase_											=				clean_doc_toc(__lowerCAmelCase   )

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

       if diff:
              if overwrite:
                     UpperCamelCase_											=				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__":
      _A		     =    argparse.ArgumentParser()
      parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
      _A		     =    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_tf_available, is_torch_available


snake_case							:       str     			=      {
    '''configuration_rag''': ['''RagConfig'''],
    '''retrieval_rag''': ['''RagRetriever'''],
    '''tokenization_rag''': ['''RagTokenizer'''],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						snake_case							:       Any     			=      [
						    '''RagModel''',
						    '''RagPreTrainedModel''',
						    '''RagSequenceForGeneration''',
						    '''RagTokenForGeneration''',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						snake_case							:       Optional[int]     			=      [
						    '''TFRagModel''',
						    '''TFRagPreTrainedModel''',
						    '''TFRagSequenceForGeneration''',
						    '''TFRagTokenForGeneration''',
						]


if TYPE_CHECKING:
						from .configuration_rag import RagConfig
						from .retrieval_rag import RagRetriever
						from .tokenization_rag import RagTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_rag import (
												    TFRagModel,
												    TFRagPreTrainedModel,
												    TFRagSequenceForGeneration,
												    TFRagTokenForGeneration,
												)

else:
						import sys

						snake_case							:       int     			=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




