



"""simple docstring"""





def        a__     (				lowerCAmelCase__     ,      lowerCAmelCase__				):

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

            return "".join(__SCREAMING_SNAKE_CASE				)

      # matching characters
      UpperCAmelCase_      			=							get_matched_characters(__SCREAMING_SNAKE_CASE     ,      __SCREAMING_SNAKE_CASE				)
      UpperCAmelCase_      			=							get_matched_characters(__SCREAMING_SNAKE_CASE     ,      __SCREAMING_SNAKE_CASE				)
      UpperCAmelCase_      			=							len(__SCREAMING_SNAKE_CASE				)

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

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

      # common prefix up to 4 characters
      UpperCAmelCase_      			=							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 ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase       	=						logging.get_logger(__name__)

lowerCamelCase       	=						{
    """RWKV/rwkv-4-169m-pile""": """https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-430m-pile""": """https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-1b5-pile""": """https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-3b-pile""": """https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-7b-pile""": """https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json""",
    """RWKV/rwkv-4-14b-pile""": """https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json""",
    """RWKV/rwkv-raven-1b5""": """https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json""",
    """RWKV/rwkv-raven-3b""": """https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json""",
    """RWKV/rwkv-raven-7b""": """https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json""",
    """RWKV/rwkv-raven-14b""": """https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json""",
}
class 				lowercase__       (   SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					'''rwkv'''
       UpperCamelCase						=					{'''max_position_embeddings''': '''context_length'''}



       def __init__(							self      :  str		,    _UpperCAmelCase      :  int=50277		,    _UpperCAmelCase      :  Optional[Any]=1024		,    _UpperCAmelCase      :  str=4096		,    _UpperCAmelCase      :  Any=32		,    _UpperCAmelCase      :  Any=None		,    _UpperCAmelCase      :  Optional[int]=None		,    _UpperCAmelCase      :  Tuple=1e-5		,    _UpperCAmelCase      :  str=0		,    _UpperCAmelCase      :  Any=0		,    _UpperCAmelCase      :  Union[str, Any]=6		,    _UpperCAmelCase      :  Dict=False		,    _UpperCAmelCase      :  Any=True		,    **_UpperCAmelCase      :  Optional[Any]		,    )			->						str:


             '''simple docstring'''




             UpperCAmelCase_      			=							vocab_size
             UpperCAmelCase_      			=							context_length
             UpperCAmelCase_      			=							hidden_size
             UpperCAmelCase_      			=							num_hidden_layers
             UpperCAmelCase_      			=							attention_hidden_size if attention_hidden_size is not None else hidden_size
             UpperCAmelCase_      			=							intermediate_size if intermediate_size is not None else 4 * hidden_size
             UpperCAmelCase_      			=							layer_norm_epsilon
             UpperCAmelCase_      			=							rescale_every
             UpperCAmelCase_      			=							use_cache

             UpperCAmelCase_      			=							bos_token_id
             UpperCAmelCase_      			=							eos_token_id

             super().__init__(
                 tie_word_embeddings=_UpperCAmelCase		,    bos_token_id=_UpperCAmelCase		,    eos_token_id=_UpperCAmelCase		,    **_UpperCAmelCase   )




