






from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCamelCase			:	Tuple								=logging.get_logger(__name__)

_UpperCamelCase			:	List[str]								={
    'abeja/gpt-neox-japanese-2.7b': 'https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json',
}






class 						UpperCAmelCase__ (							__snake_case							):
		__snake_case      :       List[str]     =   "gpt_neox_japanese"







		def __init__(					self       ,A__=32000       ,A__=2560       ,A__=32       ,A__=32       ,A__=4       ,A__="gelu"       ,A__=1.00       ,A__=10000       ,A__=2048       ,A__=0.02       ,A__=1E-5       ,A__=True       ,A__=31996       ,A__=31999       ,A__=0.1       ,A__=0.0       ,**A__       ,):
						super().__init__(bos_token_id=A__       ,eos_token_id=A__       ,**A__		)
						_A	:				List[Any]   =      vocab_size
						_A	:				List[str]   =      max_position_embeddings
						_A	:				Dict   =      hidden_size
						_A	:				str   =      num_hidden_layers
						_A	:				str   =      num_attention_heads
						_A	:				str   =      intermediate_multiple_size
						_A	:				Tuple   =      hidden_act
						_A	:				Any   =      rotary_pct
						_A	:				Any   =      rotary_emb_base
						_A	:				str   =      initializer_range
						_A	:				int   =      layer_norm_eps
						_A	:				Tuple   =      use_cache
						_A	:				int   =      attention_dropout
						_A	:				Dict   =      hidden_dropout











def  a__ (__lowercase							:str					,  __lowercase							:str   )		-> float:

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

								return "".join(__lowercase   )

				# matching characters
				_A	:				str   =      get_matched_characters(__lowercase					,  __lowercase   )
				_A	:				Optional[Any]   =      get_matched_characters(__lowercase					,  __lowercase   )
				_A	:				Any   =      len(__lowercase   )

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

				if not match_count:
								_A	:				Optional[int]   =      0.0
				else:
								_A	:				str   =      (
								    1
								    / 3
								    * (
								        match_count / len(__lowercase   )
								        + match_count / len(__lowercase   )
								        + (match_count - transpositions) / match_count
								    )
								)

				# common prefix up to 4 characters
				_A	:				Any   =      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'))



