





def lowerCamelCase__   (							snake_case_     :  str	,				snake_case_     :  str	)				->    Optional[int]:

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

      return "".join(snake_case_	)

   # matching characters
   __snake_case								=       get_matched_characters(snake_case_	,				snake_case_	)
   __snake_case								=       get_matched_characters(snake_case_	,				snake_case_	)
   __snake_case								=       len(snake_case_	)

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

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

   # common prefix up to 4 characters
   __snake_case								=       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'))








from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


snake_case_           =      logging.get_logger(__name__)

snake_case_           =      {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

snake_case_           =      {
    'vocab_file': {
        'allegro/herbert-base-cased': 'https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'
    },
    'merges_file': {
        'allegro/herbert-base-cased': 'https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'
    },
}

snake_case_           =      {'allegro/herbert-base-cased': 514}
snake_case_           =      {}

class 		SCREAMING_SNAKE_CASE__    (	_UpperCAmelCase  ):
      A_						:    Dict							=   VOCAB_FILES_NAMES
      A_						:    Optional[Any]							=   PRETRAINED_VOCAB_FILES_MAP
      A_						:    Optional[int]							=   PRETRAINED_INIT_CONFIGURATION
      A_						:    int							=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      A_						:    Any							=   HerbertTokenizer


      def __init__(self	:				Dict    ,      a__	:				Tuple=None    ,      a__	:				Optional[int]=None    ,      a__	:				List[str]=None    ,      a__	:				Optional[int]="<s>"    ,      a__	:				Optional[Any]="<unk>"    ,      a__	:				Any="<pad>"    ,      a__	:				List[Any]="<mask>"    ,      a__	:				Any="</s>"    ,      **a__	:				Tuple    ,      ):





         """simple docstring"""



         super().__init__(
             a__    ,      a__    ,      tokenizer_file=a__    ,      cls_token=a__    ,      unk_token=a__    ,      pad_token=a__    ,      mask_token=a__    ,      sep_token=a__    ,      **a__    ,      )


      def        a			(self	:				List[str]    ,      a__	:				List[int]    ,      a__	:				Optional[List[int]] = None				):





         """simple docstring"""



         __snake_case								=       [self.cls_token_id]
         __snake_case								=       [self.sep_token_id]
         if token_ids_a is None:
            return cls + token_ids_a + sep

         return cls + token_ids_a + sep + token_ids_a + sep


      def        a			(self	:				List[str]    ,      a__	:				List[int]    ,      a__	:				Optional[List[int]] = None    ,      a__	:				bool = False				):





         """simple docstring"""



         if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=a__    ,      token_ids_a=a__    ,      already_has_special_tokens=a__				)

         if token_ids_a is None:
            return [1] + ([0] * len(a__				)) + [1]
         return [1] + ([0] * len(a__				)) + [1] + ([0] * len(a__				)) + [1]


      def        a			(self	:				Optional[int]    ,      a__	:				List[int]    ,      a__	:				Optional[List[int]] = None				):





         """simple docstring"""



         __snake_case								=       [self.sep_token_id]
         __snake_case								=       [self.cls_token_id]

         if token_ids_a is None:
            return len(cls + token_ids_a + sep				) * [0]
         return len(cls + token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]


      def        a			(self	:				int    ,      a__	:				str    ,      a__	:				Optional[str] = None				):





         """simple docstring"""



         __snake_case								=       self._tokenizer.model.save(a__    ,      name=a__				)
         return tuple(a__				)

