






import argparse
from collections import defaultdict

import yaml


a						:			Any     	=					"docs/source/en/_toctree.yml"






def 							lowerCamelCase__ (       __lowerCamelCase     :	Union[str, Any]						):
  __UpperCAmelCase				:      List[str]	 =    defaultdict(__lowerCamelCase						)
  __UpperCAmelCase				:      List[str]	 =    []
  __UpperCAmelCase				:      Optional[int]	 =    []
  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				:      Dict	 =    new_doc_list
  __UpperCAmelCase				:      Optional[int]	 =    [key for key, value in counts.items() if value > 1]

  __UpperCAmelCase				:      Dict	 =    []
  for duplicate_key in duplicates:
    __UpperCAmelCase				:      Optional[Any]	 =    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				:      int	 =    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     :	Optional[Any]=False						):
  with open(__lowerCamelCase    ,						encoding="""utf-8"""						) as f:
    __UpperCAmelCase				:      Tuple	 =    yaml.safe_load(f.read()						)

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

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

  __UpperCAmelCase				:      str	 =    api_doc[scheduler_idx]["""sections"""]
  __UpperCAmelCase				:      Dict	 =    clean_doc_toc(__lowerCamelCase						)

  __UpperCAmelCase				:      List[str]	 =    False
  if new_scheduler_doc != scheduler_doc:
    __UpperCAmelCase				:      Optional[int]	 =    True
    if overwrite:
      __UpperCAmelCase				:      int	 =    new_scheduler_doc

  if diff:
    if overwrite:
      __UpperCAmelCase				:      str	 =    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     :	List[Any]=False						):
  with open(__lowerCamelCase    ,						encoding="""utf-8"""						) as f:
    __UpperCAmelCase				:      Union[str, Any]	 =    yaml.safe_load(f.read()						)

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

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

  __UpperCAmelCase				:      Tuple	 =    False
  __UpperCAmelCase				:      int	 =    api_doc[pipeline_idx]["""sections"""]
  __UpperCAmelCase				:      Optional[Any]	 =    []

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

  # sort overall pipeline doc
  __UpperCAmelCase				:      Any	 =    clean_doc_toc(__lowerCamelCase						)

  if new_pipeline_docs != pipeline_docs:
    __UpperCAmelCase				:      Tuple	 =    True
    if overwrite:
      __UpperCAmelCase				:      Any	 =    new_pipeline_docs

  if diff:
    if overwrite:
      __UpperCAmelCase				:      List[Any]	 =    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						:			Union[str, Any]     	=					argparse.ArgumentParser()
       parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
       a						:			Tuple     	=					parser.parse_args()

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





_lowerCAmelCase  :      int			 ="""
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

_lowerCAmelCase  :      List[str]			 =[{"""type""": """code""", """content""": INSTALL_CONTENT}]
_lowerCAmelCase  :      int			 ={
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}