






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


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







class  _lowercase   (   SCREAMING_SNAKE_CASE__						):
      _a							:						str										=							'upernet'
      def __init__(     self				,			a=None				,			a=5_1_2				,			a=0.02				,			a=[1, 2, 3, 6]				,			a=True				,			a=0.4				,			a=3_8_4				,			a=2_5_6				,			a=1				,			a=False				,			a=2_5_5				,			**a				,			):
       super().__init__(**_lowercase   )

       if backbone_config is None:
        logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""   )
        snake_case__  :    Optional[Any]							       =CONFIG_MAPPING["""resnet"""](out_features=["""stage1""", """stage2""", """stage3""", """stage4"""]   )
       elif isinstance(_lowercase				,			_lowercase   ):
        snake_case__  :    List[Any]							       =backbone_config.get("""model_type"""   )
        snake_case__  :    Optional[Any]							       =CONFIG_MAPPING[backbone_model_type]
        snake_case__  :    Any							       =config_class.from_dict(_lowercase   )

       snake_case__  :    str							       =backbone_config
       snake_case__  :    Union[str, Any]							       =hidden_size
       snake_case__  :    Dict							       =initializer_range
       snake_case__  :    Union[str, Any]							       =pool_scales
       snake_case__  :    Optional[Any]							       =use_auxiliary_head
       snake_case__  :    Any							       =auxiliary_loss_weight
       snake_case__  :    List[Any]							       =auxiliary_in_channels
       snake_case__  :    str							       =auxiliary_channels
       snake_case__  :    Dict							       =auxiliary_num_convs
       snake_case__  :    List[Any]							       =auxiliary_concat_input
       snake_case__  :    int							       =loss_ignore_index



      def 						lowercase__					(     self   ):
       snake_case__  :    List[Any]							       =copy.deepcopy(self.__dict__   )
       snake_case__  :    Optional[int]							       =self.backbone_config.to_dict()
       snake_case__  :    Dict							       =self.__class__.model_type
       return output













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))





