


def      snake_case_						( __lowercase			,       __lowercase			,       __lowercase=False       ):

   if isinstance(__lowercase			,       __lowercase       ) and isinstance(__lowercase			,       __lowercase       ):
      UpperCAmelCase_							:      Tuple						=   len(set_a.intersection(__lowercase       )       )

      if alternative_union:
         UpperCAmelCase_							:      List[Any]						=   len(__lowercase       ) + len(__lowercase       )
      else:
         UpperCAmelCase_							:      Tuple						=   len(set_a.union(__lowercase       )       )

      return intersection / union

   if isinstance(__lowercase			,       (list, tuple)       ) and isinstance(__lowercase			,       (list, tuple)       ):
      UpperCAmelCase_							:      Union[str, Any]						=   [element for element in set_a if element in set_b]

      if alternative_union:
         UpperCAmelCase_							:      Tuple						=   len(__lowercase       ) + len(__lowercase       )
         return len(__lowercase       ) / union
      else:
         UpperCAmelCase_							:      Union[str, Any]						=   set_a + [element for element in set_b if element not in set_a]
         return len(__lowercase       ) / len(__lowercase       )

      return len(__lowercase       ) / len(__lowercase       )
   return None


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








import copy

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


__UpperCamelCase				:  Tuple      					=							logging.get_logger(__name__)





class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''





    A_  :     Union[str, Any]			= 'encoder-decoder'
    A_  :     Optional[int]			= True





    def __init__(	self				:   Dict       ,   **__snake_case				:   Union[str, Any]	):





       '''simple docstring'''
       super().__init__(**__snake_case	)
       assert (
           "encoder" in kwargs and "decoder" in kwargs
       ), "Config has to be initialized with encoder and decoder config"
       UpperCAmelCase_							:      int						=   kwargs.pop('''encoder'''	)
       UpperCAmelCase_							:      List[Any]						=   encoder_config.pop('''model_type'''	)
       UpperCAmelCase_							:      int						=   kwargs.pop('''decoder'''	)
       UpperCAmelCase_							:      Union[str, Any]						=   decoder_config.pop('''model_type'''	)

       from ..auto.configuration_auto import AutoConfig

       UpperCAmelCase_							:      Optional[int]						=   AutoConfig.for_model(__snake_case       ,   **__snake_case	)
       UpperCAmelCase_							:      Any						=   AutoConfig.for_model(__snake_case       ,   **__snake_case	)
       UpperCAmelCase_							:      List[Any]						=   True





    @classmethod
    def 					_lowerCamelCase (	cls				:   Optional[Any]       ,   __snake_case				:   PretrainedConfig       ,   __snake_case				:   PretrainedConfig       ,   **__snake_case				:   Union[str, Any]	):





       '''simple docstring'''
       logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''	)
       UpperCAmelCase_							:      Dict						=   True
       UpperCAmelCase_							:      str						=   True

       return cls(encoder=encoder_config.to_dict()       ,   decoder=decoder_config.to_dict()       ,   **__snake_case	)





    def 					_lowerCamelCase (	self				:   Dict	):





       '''simple docstring'''
       UpperCAmelCase_							:      int						=   copy.deepcopy(self.__dict__	)
       UpperCAmelCase_							:      Tuple						=   self.encoder.to_dict()
       UpperCAmelCase_							:      Tuple						=   self.decoder.to_dict()
       UpperCAmelCase_							:      Tuple						=   self.__class__.model_type
       return output