






"""simple docstring"""






def 					_A			(__a    ,				__a							) ->       float:
    """simple docstring"""






    def get_matched_characters(__a    ,				__a							) -> str:
        SCREAMING_SNAKE_CASE_      :  str    						=		[]
        SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		min(len(_stra							)    ,				len(_stra							)							) // 2
        for i, l in enumerate(_stra							):
            SCREAMING_SNAKE_CASE_      :  List[Any]    						=		int(max(0    ,				i - limit							)							)
            SCREAMING_SNAKE_CASE_      :  List[Any]    						=		int(min(i + limit + 1    ,				len(_stra							)							)							)
            if l in _stra[left:right]:
                matched.append(__a							)
                SCREAMING_SNAKE_CASE_      :  Dict    						=		f'{_stra[0:_stra.index(__a							)]} {_stra[_stra.index(__a							) + 1:]}'

        return "".join(__a							)

    # matching characters
    SCREAMING_SNAKE_CASE_      :  List[str]    						=		get_matched_characters(__a    ,				__a							)
    SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		get_matched_characters(__a    ,				__a							)
    SCREAMING_SNAKE_CASE_      :  int    						=		len(__a							)

    # transposition
    SCREAMING_SNAKE_CASE_      :  Tuple    						=		(
        len([(ca, ca) for ca, ca in zip(__a    ,				__a							) if ca != ca]							) // 2
    )

    if not match_count:
        SCREAMING_SNAKE_CASE_      :  List[Any]    						=		0.0
    else:
        SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		(
            1
            / 3
            * (
                match_count / len(__a							)
                + match_count / len(__a							)
                + (match_count - transpositions) / match_count
            )
        )

    # common prefix up to 4 characters
    SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		0
    for ca, ca in zip(stra[:4]    ,				stra[:4]							):
        if ca == ca:
            prefix_len += 1
        else:
            break

    return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  print(jaro_winkler("""hello""", """world"""))










"""simple docstring"""






import warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


UpperCAmelCase_   : Optional[Any]   			= logging.get_logger(__name__)




class 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      def __init__(						self     :  List[str]						,	*lowercase_     :  Dict						,	**lowercase_     :  Union[str, Any]):




          '''simple docstring'''


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


