


"""simple docstring"""
def     _a					(   _SCREAMING_SNAKE_CASE					)     ->					str:
							if not isinstance(__lowerCamelCase					,			__lowerCamelCase					):
														snake_case_     							=		(
														    '''operation can not be conducted on a object of type '''
														    f"""{type(__lowerCamelCase					).__name__}"""
														)
														raise TypeError(__lowerCamelCase					)
							snake_case_     							=		''''''
							for _ in range(0					,			32					):
														bit_string += str(number % 2					)
														snake_case_     							=		number >> 1
							return bit_string







def     _a					(   _SCREAMING_SNAKE_CASE					)     ->					str:
							if number < 0:
														raise ValueError("""the value of input must be positive"""					)
							elif isinstance(__lowerCamelCase					,			__lowerCamelCase					):
														raise TypeError("""Input value must be a \'int\' type"""					)
							elif isinstance(__lowerCamelCase					,			__lowerCamelCase					):
														raise TypeError("""\'<\' not supported between instances of \'str\' and \'int\'"""					)
							snake_case_     							=		0
							# iterator over [1 to 32],since we are dealing with 32 bit integer
							for _ in range(1					,			33					):
														# left shift the bits by unity
														snake_case_     							=		result << 1
														# get the end bit
														snake_case_     							=		number % 2
														# right shift the bits by unity
														snake_case_     							=		number >> 1
														# add that bit to our ans
														snake_case_     							=		result | end_bit
							return get_reverse_bit_string(__lowerCamelCase					)


if __name__ == "__main__":
				import doctest

				doctest.testmod()







import copy

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


a					:				Optional[Any]       =      logging.get_logger(__name__)

class   lowerCamelCase						(	SCREAMING_SNAKE_CASE  ):
       _UpperCamelCase     		=   """hybrid-clip"""
       _UpperCamelCase     		=   True

       def __init__(      self						,    a__=5_12						,    **a__       ):






        '''simple docstring'''






        super().__init__(**a__       )

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

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

        snake_case :			int							=   kwargs.pop('''text_config'''       )
        snake_case :			Optional[int]							=   kwargs.pop('''vision_config'''       )

        snake_case :			Optional[Any]							=   text_config.pop('''model_type'''       )
        snake_case :			str							=   vision_config.pop('''model_type'''       )

        from transformers import AutoConfig

        snake_case :			List[Any]							=   AutoConfig.for_model(a__						,    **a__       )

        if vision_model_type == "clip":
         snake_case :			Dict							=   AutoConfig.for_model(a__						,    **a__       ).vision_config
        elif vision_model_type == "clip_vision_model":
         from transformers import CLIPVisionConfig

         snake_case :			str							=   CLIPVisionConfig(**a__       )
        else:
         snake_case :			Any							=   AutoConfig.for_model(a__						,    **a__       )

        snake_case :			Optional[Any]							=   projection_dim
        snake_case :			int							=   1.0

       @classmethod
       def 					UpperCAmelCase					(      cls						,    a__						,    a__						,    **a__       ):






        '''simple docstring'''






        return cls(text_config=text_config.to_dict()						,    vision_config=vision_config.to_dict()						,    **a__       )



       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






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






