"""simple docstring"""




def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: str    ,_lowerCamelCase		: str			) ->   float:

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

				return "".join(_lowerCamelCase			)

		# matching characters
		_lowerCAmelCase		: Any						    =  get_matched_characters(_lowerCamelCase    ,_lowerCamelCase			)
		_lowerCAmelCase		: Optional[int]						    =  get_matched_characters(_lowerCamelCase    ,_lowerCamelCase			)
		_lowerCAmelCase		: Union[str, Any]						    =  len(_lowerCamelCase			)

		# transposition
		_lowerCAmelCase		: Union[str, Any]						    =  (
		    len([(ca, ca) for ca, ca in zip(_lowerCamelCase    ,_lowerCamelCase			) if ca != ca]			) // 2
		)

		if not match_count:
				_lowerCAmelCase		: int						    =  0.0
		else:
				_lowerCAmelCase		: Optional[Any]						    =  (
				    1
				    / 3
				    * (
				        match_count / len(_lowerCamelCase			)
				        + match_count / len(_lowerCamelCase			)
				        + (match_count - transpositions) / match_count
				    )
				)

		# common prefix up to 4 characters
		_lowerCAmelCase		: Dict						    =  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 TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


_a   :	Union[str, Any] 					=     {}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _a   :	Tuple 					=     ['GPTSw3Tokenizer']


if TYPE_CHECKING:
     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_gpt_swa import GPTSwaTokenizer

else:
     import sys

     _a   :	Optional[int] 					=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




