
import argparse
from collections import defaultdict

import yaml


__lowerCAmelCase			:     Union[str, Any]           =   'docs/source/en/_toctree.yml'

def a__    (       A_					):






  '''simple docstring'''





  __magic_name__				     =       defaultdict(A_					)
  __magic_name__				     =       []
  __magic_name__				     =       []
  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_					)

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

  __magic_name__				     =       []
  for duplicate_key in duplicates:
    __magic_name__				     =       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]					)
  __magic_name__				     =       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 a__    (       A_=False					):






  '''simple docstring'''





  with open(A_,     encoding="""utf-8"""					) as f:
    __magic_name__				     =       yaml.safe_load(f.read()					)

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

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

  __magic_name__				     =       api_doc[scheduler_idx]["""sections"""]
  __magic_name__				     =       clean_doc_toc(A_					)

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

  if diff:
    if overwrite:
      __magic_name__				     =       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 a__    (       A_=False					):






  '''simple docstring'''





  with open(A_,     encoding="""utf-8"""					) as f:
    __magic_name__				     =       yaml.safe_load(f.read()					)

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

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

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

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

  # sort overall pipeline doc
  __magic_name__				     =       clean_doc_toc(A_					)

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

  if diff:
    if overwrite:
      __magic_name__				     =       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__":
    __lowerCAmelCase			:     Union[str, Any]           =   argparse.ArgumentParser()
    parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
    __lowerCAmelCase			:     Dict           =   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


__lowerCAmelCase			:     Any           =   {
    'configuration_mctct': ['MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MCTCTConfig'],
    'feature_extraction_mctct': ['MCTCTFeatureExtractor'],
    'processing_mctct': ['MCTCTProcessor'],
}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCAmelCase			:     int           =   [
        'MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'MCTCTForCTC',
        'MCTCTModel',
        'MCTCTPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
    from .feature_extraction_mctct import MCTCTFeatureExtractor
    from .processing_mctct import MCTCTProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
    import sys

    __lowerCAmelCase			:     List[Any]           =   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

