





import argparse
from collections import defaultdict

import yaml


_UpperCAmelCase							:			Tuple        =							"""docs/source/en/_toctree.yml"""


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase					)     ->	Optional[Any]:
    lowerCamelCase__       : Any   					=						defaultdict(__UpperCamelCase					)
    for doc in model_doc:
        counts[doc["local"]] += 1
    lowerCamelCase__       : Any   					=						[key for key, value in counts.items() if value > 1]

    lowerCamelCase__       : Optional[Any]   					=						[]
    for duplicate_key in duplicates:
        lowerCamelCase__       : Union[str, Any]   					=						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 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase=False					)     ->	str:
    with open(__UpperCamelCase		,      encoding='utf-8'					) as f:
        lowerCamelCase__       : Tuple   					=						yaml.safe_load(f.read()					)

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

    # Then to the model doc
    lowerCamelCase__       : Dict   					=						0
    while api_doc[model_idx]["title"] != "Models":
        model_idx += 1

    lowerCamelCase__       : int   					=						api_doc[model_idx]['sections']

    lowerCamelCase__       : List[str]   					=						[(idx, section) for idx, section in enumerate(__UpperCamelCase					) if 'sections' in section]
    lowerCamelCase__       : int   					=						False
    for idx, modality_doc in modalities_docs:
        lowerCamelCase__       : Tuple   					=						modality_doc['sections']
        lowerCamelCase__       : Optional[Any]   					=						clean_model_doc_toc(__UpperCamelCase					)

        if old_modality_doc != new_modality_doc:
            lowerCamelCase__       : str   					=						True
            if overwrite:
                lowerCamelCase__       : Tuple   					=						new_modality_doc

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

    check_model_doc(args.fix_and_overwrite)










import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


SCREAMING_SNAKE_CASE__   			=   logging.get_logger(__name__)


class   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					def __init__(  self       :							Dict					,       *_snake_case       :							int					,       **_snake_case       :							Optional[int]       ):






								"""simple docstring"""


								warnings.warn(
								    'The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
								    ' use CLIPImageProcessor instead.'					,       _snake_case					,       )
								super().__init__(*_snake_case					,       **_snake_case       )




