


import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig
from ..clip.configuration_clip import CLIPVisionConfig


__lowerCamelCase   	=  logging.get_logger(__name__)


class 	a__						(    lowerCAmelCase_     ):
       lowerCamelCase__:  Dict				     =  """vision-text-dual-encoder"""
       lowerCamelCase__:  Dict				     =  True

       def __init__( self   :  str   ,				lowerCamelCase_   :  int=5_1_2   ,				lowerCamelCase_   :  List[Any]=2.6_5_9_2   ,				**lowerCamelCase_   :  Any     ):
            super().__init__(**lowerCamelCase_     )

            if "vision_config" not in kwargs:
                 raise ValueError("""`vision_config` can not be `None`."""     )

            if "text_config" not in kwargs:
                 raise ValueError("""`text_config` can not be `None`."""     )

            a_     :  str				      =     kwargs.pop("""vision_config"""     )
            a_     :  List[str]				      =     kwargs.pop("""text_config"""     )

            a_     :  str				      =     vision_config.pop("""model_type"""     )
            a_     :  Union[str, Any]				      =     text_config.pop("""model_type"""     )

            if vision_model_type == "clip":
                 a_     :  Dict				      =     AutoConfig.for_model(lowerCamelCase_   ,				**lowerCamelCase_     ).vision_config
            elif vision_model_type == "clip_vision_model":
                 a_     :  Union[str, Any]				      =     CLIPVisionConfig(**lowerCamelCase_     )
            else:
                 a_     :  str				      =     AutoConfig.for_model(lowerCamelCase_   ,				**lowerCamelCase_     )

            a_     :  str				      =     AutoConfig.for_model(lowerCamelCase_   ,				**lowerCamelCase_     )

            a_     :  str				      =     projection_dim
            a_     :  Tuple				      =     logit_scale_init_value

       @classmethod
       def     UpperCAmelCase( cls   :  Union[str, Any]   ,				lowerCamelCase_   :  PretrainedConfig   ,				lowerCamelCase_   :  PretrainedConfig   ,				**lowerCamelCase_   :  List[Any]     ):
            return cls(vision_config=vision_config.to_dict()   ,				text_config=text_config.to_dict()   ,				**lowerCamelCase_     )

       def     UpperCAmelCase( self   :  Optional[int]     ):
            a_     :  Dict				      =     copy.deepcopy(self.__dict__     )
            a_     :  Any				      =     self.vision_config.to_dict()
            a_     :  int				      =     self.text_config.to_dict()
            a_     :  List[Any]				      =     self.__class__.model_type
            return output







class 	a__						:

       def __init__( self   :  int   ,				lowerCamelCase_   :  int     ):
            a_     :  Dict				      =     data
            a_     :  int
            a_     :  Node



def 			_a      (    __UpperCamelCase			):
     a_     :  int				      =     0
     a_     :  Optional[Any]				      =     x



def 			_a      (    __UpperCamelCase	,	__UpperCamelCase			):
     a_      ,      a_     :  Dict				      =     find_set(__UpperCamelCase			), find_set(__UpperCamelCase			)
     if x == y:
          return

     elif x.rank > y.rank:
          a_     :  Tuple				      =     x
     else:
          a_     :  Optional[Any]				      =     y
          if x.rank == y.rank:
               y.rank += 1



def 			_a      (    __UpperCamelCase			):
     if x != x.parent:
          a_     :  Tuple				      =     find_set(x.parent			)
     return x.parent



def 			_a      (    __UpperCamelCase			):
     a_     :  List[Any]				      =     ({0, 1, 2}, {3, 4, 5})
     for s in sets:
          if node.data in s:
               return s
     a_     :  Union[str, Any]				      =     F'''{node.data} is not in {sets}'''
     raise ValueError(__UpperCamelCase			)



def 			_a      (    ):
     a_     :  int				      =     [Node(__UpperCamelCase			) for i in range(6			)]
     for v in vertex:
          make_set(__UpperCamelCase			)

     union_set(vertex[0]	,	vertex[1]			)
     union_set(vertex[1]	,	vertex[2]			)
     union_set(vertex[3]	,	vertex[4]			)
     union_set(vertex[3]	,	vertex[5]			)

     for nodea in vertex:
          for nodea in vertex:
               if find_python_set(__UpperCamelCase			).isdisjoint(find_python_set(__UpperCamelCase			)			):
                    assert find_set(__UpperCamelCase			) != find_set(__UpperCamelCase			)
               else:
                    assert find_set(__UpperCamelCase			) == find_set(__UpperCamelCase			)


if __name__ == "__main__":
       test_disjoint_set()



