
import copy

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


__UpperCAmelCase   						=     logging.get_logger(__name__)





class 				UpperCamelCase__		(	lowerCAmelCase__	):






       """simple docstring"""


       UpperCAmelCase_				       ='hybrid-clip'
       UpperCAmelCase_				       =True



       def __init__(							self ,     _A=512 ,     **_A	)				->				List[Any]:
          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`.'''	)

          SCREAMING_SNAKE_CASE_	=      kwargs.pop('''text_config'''	)
          SCREAMING_SNAKE_CASE_	=      kwargs.pop('''vision_config'''	)

          SCREAMING_SNAKE_CASE_	=      text_config.pop('''model_type'''	)
          SCREAMING_SNAKE_CASE_	=      vision_config.pop('''model_type'''	)

          from transformers import AutoConfig

          SCREAMING_SNAKE_CASE_	=      AutoConfig.for_model(_A ,     **_A	)

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

             SCREAMING_SNAKE_CASE_	=      CLIPVisionConfig(**_A	)
          else:
             SCREAMING_SNAKE_CASE_	=      AutoConfig.for_model(_A ,     **_A	)

          SCREAMING_SNAKE_CASE_	=      projection_dim
          SCREAMING_SNAKE_CASE_	=      1.0



       @classmethod
       def     _UpperCamelCase	(							cls ,     _A ,     _A ,     **_A	)				->				str:
          return cls(text_config=text_config.to_dict() ,     vision_config=vision_config.to_dict() ,     **_A	)




       def     _UpperCamelCase	(							self	)				->				List[Any]:
          SCREAMING_SNAKE_CASE_	=      copy.deepcopy(self.__dict__	)
          SCREAMING_SNAKE_CASE_	=      self.text_config.to_dict()
          SCREAMING_SNAKE_CASE_	=      self.vision_config.to_dict()
          SCREAMING_SNAKE_CASE_	=      self.__class__.model_type
          return output





def        _UpperCAmelCase							(	_SCREAMING_SNAKE_CASE       :		list							):





    """simple docstring"""


    if not isinstance(_SCREAMING_SNAKE_CASE			, _SCREAMING_SNAKE_CASE							):
        raise ValueError('Input series is not valid, valid series - [2, 4, 8]'							)
    if len(_SCREAMING_SNAKE_CASE							) == 0:
        raise ValueError('Input list must be a non empty list'							)
    if len(_SCREAMING_SNAKE_CASE							) == 1:
        return True
    try:
        SCREAMING_SNAKE_CASE_						=    series[1] / series[0]
        for index in range(len(_SCREAMING_SNAKE_CASE							) - 1							):
            if series[index + 1] / series[index] != common_ratio:
                return False
    except ZeroDivisionError:
        return False
    return True


def        _UpperCAmelCase							(	_SCREAMING_SNAKE_CASE       :		list							):





    """simple docstring"""


    if not isinstance(_SCREAMING_SNAKE_CASE			, _SCREAMING_SNAKE_CASE							):
        raise ValueError('Input series is not valid, valid series - [2, 4, 8]'							)
    if len(_SCREAMING_SNAKE_CASE							) == 0:
        raise ValueError('Input list must be a non empty list'							)
    SCREAMING_SNAKE_CASE_						=    1
    for value in series:
        answer *= value
    return pow(_SCREAMING_SNAKE_CASE			, 1 / len(_SCREAMING_SNAKE_CASE							)							)


if __name__ == "__main__":
       import doctest

       doctest.testmod()


