






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


__lowerCamelCase	:		List[str]										=   logging.get_logger(__name__)

__lowerCamelCase	:		int										=   {
    """SCUT-DLVCLab/lilt-roberta-en-base""": (
        """https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json"""
    ),
}







class  _lowercase   (   __SCREAMING_SNAKE_CASE						):
      _a							:						Optional[int]										=							'lilt'
      def __init__(     self				,			a=3_0_5_2_2				,			a=7_6_8				,			a=1_2				,			a=1_2				,			a=3_0_7_2				,			a="gelu"				,			a=0.1				,			a=0.1				,			a=5_1_2				,			a=2				,			a=0.02				,			a=1e-12				,			a=0				,			a="absolute"				,			a=None				,			a=4				,			a=1_0_2_4				,			**a				,			):
       super().__init__(pad_token_id=_a				,			**_a   )

       snake_case__  :    Dict							       =vocab_size
       snake_case__  :    Union[str, Any]							       =hidden_size
       snake_case__  :    Optional[int]							       =num_hidden_layers
       snake_case__  :    Optional[int]							       =num_attention_heads
       snake_case__  :    Any							       =hidden_act
       snake_case__  :    Union[str, Any]							       =intermediate_size
       snake_case__  :    Optional[int]							       =hidden_dropout_prob
       snake_case__  :    str							       =attention_probs_dropout_prob
       snake_case__  :    Optional[int]							       =max_position_embeddings
       snake_case__  :    Any							       =type_vocab_size
       snake_case__  :    Optional[Any]							       =initializer_range
       snake_case__  :    Dict							       =layer_norm_eps
       snake_case__  :    int							       =position_embedding_type
       snake_case__  :    Tuple							       =classifier_dropout
       snake_case__  :    Union[str, Any]							       =channel_shrink_ratio
       snake_case__  :    List[Any]							       =max_ad_position_embeddings













def 			A__							(      _a  :					Optional[Any]		,  _a  :					Tuple		,  _a  :					List[str]=False	):





 '''simple docstring'''







 if isinstance(_a		,  _a	) and isinstance(_a		,  _a	):
  snake_case__  :    int							       =len(set_a.intersection(_a	)	)

  if alternative_union:
   snake_case__  :    int							       =len(_a	) + len(_a	)
  else:
   snake_case__  :    Tuple							       =len(set_a.union(_a	)	)

  return intersection / union

 if isinstance(_a		,  (list, tuple)	) and isinstance(_a		,  (list, tuple)	):
  snake_case__  :    Optional[int]							       =[element for element in set_a if element in set_b]

  if alternative_union:
   snake_case__  :    Optional[Any]							       =len(_a	) + len(_a	)
   return len(_a	) / union
  else:
   snake_case__  :    Dict							       =set_a + [element for element in set_b if element not in set_a]
   return len(_a	) / len(_a	)

  return len(_a	) / len(_a	)
 return None


if __name__ == "__main__":
       __lowerCamelCase	:		List[Any]										=   {"""a""", """b""", """c""", """d""", """e"""}
       __lowerCamelCase	:		Optional[int]										=   {"""c""", """d""", """e""", """f""", """h""", """i"""}
       print(jaccard_similarity(set_a, set_b))





