


def 		lowercase_	(  _UpperCamelCase							,      _UpperCamelCase	):


			'''simple docstring'''







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

						return "".join(__UpperCamelCase	)

			# matching characters
			__lowercase			       = get_matched_characters(__UpperCamelCase							,      __UpperCamelCase	)
			__lowercase			       = get_matched_characters(__UpperCamelCase							,      __UpperCamelCase	)
			__lowercase			       = len(__UpperCamelCase	)

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

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

			# common prefix up to 4 characters
			__lowercase			       = 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'''



from typing import Dict

from .base import GenericTensor, Pipeline






class 							_a				(			SCREAMING_SNAKE_CASE ):





       '''simple docstring'''






       def        UpperCamelCase_							(      self,							A=None,							A=None,							A=None,							**A  ):







             '''simple docstring'''







             if tokenize_kwargs is None:
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						{}

             if truncation is not None:
                   if "truncation" in tokenize_kwargs:
                         raise ValueError(
                             'truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)'  )
                   SCREAMING_SNAKE_CASE   :      Tuple    					=						truncation

             SCREAMING_SNAKE_CASE   :      int    					=						tokenize_kwargs

             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						{}
             if return_tensors is not None:
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						return_tensors

             return preprocess_params, {}, postprocess_params







       def        UpperCamelCase_							(      self,							A,							**A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Tuple    					=						self.framework
             SCREAMING_SNAKE_CASE   :      Tuple    					=						self.tokenizer(A,							return_tensors=A,							**A  )
             return model_inputs







       def        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Any    					=						self.model(**A  )
             return model_outputs







       def        UpperCamelCase_							(      self,							A,							A=False  ):







             '''simple docstring'''







             if return_tensors:
                   return model_outputs[0]
             if self.framework == "pt":
                   return model_outputs[0].tolist()
             elif self.framework == "tf":
                   return model_outputs[0].numpy().tolist()







       def __call__(      self,							*A,							**A  ):







             '''simple docstring'''







             return super().__call__(*A,							**A  )


