'''simple docstring'''

import argparse
from collections import defaultdict

import yaml


__a:			Dict	       =       """docs/source/en/_toctree.yml"""
def       __UpperCamelCase	(       UpperCAmelCase					):
 lowercase__    :   Optional[int]						= defaultdict(UpperCAmelCase					)
 for doc in model_doc:
  counts[doc["local"]] += 1
 lowercase__    :   Dict						= [key for key, value in counts.items() if value > 1]

 lowercase__    :   int						= []
 for duplicate_key in duplicates:
  lowercase__    :   List[str]						= list({doc['''title'''] for doc in model_doc 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 model_doc if counts[doc['''local''']] == 1]					)

 # Sort
 return sorted(UpperCAmelCase		,					key=lambda UpperCAmelCase					: s["title"].lower()					)
def       __UpperCamelCase	(       UpperCAmelCase=False					):
 with open(UpperCAmelCase		,					encoding='''utf-8'''					) as f:
  lowercase__    :   Tuple						= yaml.safe_load(f.read()					)

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

 # Then to the model doc
 lowercase__    :   Union[str, Any]						= 0
 while api_doc[model_idx]["title"] != "Models":
  model_idx += 1

 lowercase__    :   Optional[Any]						= api_doc[model_idx]['''sections''']

 lowercase__    :   Tuple						= [(idx, section) for idx, section in enumerate(UpperCAmelCase					) if '''sections''' in section]
 lowercase__    :   Union[str, Any]						= False
 for idx, modality_doc in modalities_docs:
  lowercase__    :   int						= modality_doc['''sections''']
  lowercase__    :   Any						= clean_model_doc_toc(UpperCAmelCase					)

  if old_modality_doc != new_modality_doc:
   lowercase__    :   List[str]						= True
   if overwrite:
    lowercase__    :   Optional[int]						= new_modality_doc

 if diff:
  if overwrite:
   lowercase__    :   Optional[int]						= model_doc
   lowercase__    :   Optional[Any]						= 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__":
  __a:			Dict	       =       argparse.ArgumentParser()
  parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
  __a:			Dict	       =       parser.parse_args()

  check_model_doc(args.fix_and_overwrite)


'''simple docstring'''

import pytest

import datasets.config
from datasets.utils.info_utils import is_small_dataset
@pytest.mark.parametrize('''dataset_size'''		,					[None, 400 * 2**20, 600 * 2**20]					)
@pytest.mark.parametrize('''input_in_memory_max_size'''		,					['''default''', 0, 100 * 2**20, 900 * 2**20]					)
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase		,					UpperCAmelCase					):
 if input_in_memory_max_size != "default":
  monkeypatch.setattr(datasets.config		,					'''IN_MEMORY_MAX_SIZE'''		,					UpperCAmelCase					)
 lowercase__    :   List[Any]						= datasets.config.IN_MEMORY_MAX_SIZE
 if input_in_memory_max_size == "default":
  assert in_memory_max_size == 0
 else:
  assert in_memory_max_size == input_in_memory_max_size
 if dataset_size and in_memory_max_size:
  lowercase__    :   str						= dataset_size < in_memory_max_size
 else:
  lowercase__    :   Optional[int]						= False
 lowercase__    :   Optional[Any]						= is_small_dataset(UpperCAmelCase					)
 assert result == expected

