def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase		)						->    float:



      '''simple docstring'''

      def get_matched_characters(__UpperCAmelCase ,						__UpperCAmelCase		) -> str:
            _lowerCamelCase			    =				[]
            _lowerCamelCase			    =				min(len(_stra		) ,						len(_stra		)		) // 2
            for i, l in enumerate(_stra		):
                  _lowerCamelCase			    =				int(max(0 ,						i - limit		)		)
                  _lowerCamelCase			    =				int(min(i + limit + 1 ,						len(_stra		)		)		)
                  if l in _stra[left:right]:
                        matched.append(__UpperCAmelCase		)
                        _lowerCamelCase			    =				F'{_stra[0:_stra.index(__UpperCAmelCase		)]} {_stra[_stra.index(__UpperCAmelCase		) + 1:]}'

            return "".join(__UpperCAmelCase		)

      # matching characters
      _lowerCamelCase			    =				get_matched_characters(__UpperCAmelCase ,						__UpperCAmelCase		)
      _lowerCamelCase			    =				get_matched_characters(__UpperCAmelCase ,						__UpperCAmelCase		)
      _lowerCamelCase			    =				len(__UpperCAmelCase		)

      # transposition
      _lowerCamelCase			    =				(
          len([(ca, ca) for ca, ca in zip(__UpperCAmelCase ,						__UpperCAmelCase		) if ca != ca]		) // 2
      )

      if not match_count:
            _lowerCamelCase			    =				0.0
      else:
            _lowerCamelCase			    =				(
                1
                / 3
                * (
                    match_count / len(__UpperCAmelCase		)
                    + match_count / len(__UpperCAmelCase		)
                    + (match_count - transpositions) / match_count
                )
            )

      # common prefix up to 4 characters
      _lowerCamelCase			    =				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'))
import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


snake_case__				= logging.get_logger(__name__)



class  UpperCamelCase				( __lowercase ):

     '''simple docstring'''

     def __init__(					self				,				*A_				,				**A_						) ->				None:






           """simple docstring"""
           warnings.warn(
               '''The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
               ''' use DPTImageProcessor instead.'''				,				A_				,				)
           super().__init__(*A_				,				**A_						)