



"""simple docstring"""







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


A    =			logging.get_logger(__name__)

A    =			{'ctrl': 'https://huggingface.co/ctrl/resolve/main/config.json'}






class      UpperCAmelCase__		(      UpperCamelCase     ):
		lowerCAmelCase_       :	Tuple 							=     """ctrl"""
		lowerCAmelCase_       :	Dict 							=     ["""past_key_values"""]
		lowerCAmelCase_       :	List[Any] 							=     {
		    """max_position_embeddings""": """n_positions""",
		    """hidden_size""": """n_embd""",
		    """num_attention_heads""": """n_head""",
		    """num_hidden_layers""": """n_layer""",
		}



		def __init__( self  :    Optional[int]      ,							snake_case  :    List[str]=246_534      ,							snake_case  :    Any=256      ,							snake_case  :    Tuple=1_280      ,							snake_case  :    Dict=8_192      ,							snake_case  :    Optional[Any]=48      ,							snake_case  :    List[str]=16      ,							snake_case  :    str=0.1      ,							snake_case  :    int=0.1      ,							snake_case  :    str=1E-6      ,							snake_case  :    Optional[Any]=0.02      ,							snake_case  :    List[str]=True      ,							**snake_case  :    str      ,							)			->						List[str]:






									'''simple docstring'''

									A         =					vocab_size
									A         =					n_positions
									A         =					n_embd
									A         =					n_layer
									A         =					n_head
									A         =					dff
									A         =					resid_pdrop
									A         =					embd_pdrop
									A         =					layer_norm_epsilon
									A         =					initializer_range

									A         =					use_cache

									super().__init__(**snake_case				)








"""simple docstring"""







def   lowerCAmelCase__			(     lowerCamelCase__				,      lowerCamelCase__			) ->							float:

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

														return "".join(lowerCamelCase__			)

							# matching characters
							A         =					get_matched_characters(lowerCamelCase__				,      lowerCamelCase__			)
							A         =					get_matched_characters(lowerCamelCase__				,      lowerCamelCase__			)
							A         =					len(lowerCamelCase__			)

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

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

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



