import copy

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


lowerCamelCase_				:		Tuple       						=       logging.get_logger(__name__)


class 						a__							(   __snake_case		):
			A__				:   Union[str, Any]								=			'hybrid-clip'
			A__				:   Optional[Any]								=			True



			def __init__(						self      ,						UpperCAmelCase=5_1_2      ,						**UpperCAmelCase    ) ->    int:
								super().__init__(**UpperCAmelCase    )

								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`.'    )

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

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

								from transformers import AutoConfig

								__a							=   AutoConfig.for_model(UpperCAmelCase      ,						**UpperCAmelCase    )

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

													__a							=   CLIPVisionConfig(**UpperCAmelCase    )
								else:
													__a							=   AutoConfig.for_model(UpperCAmelCase      ,						**UpperCAmelCase    )

								__a							=   projection_dim
								__a							=   1.0



			@classmethod
			def __SCREAMING_SNAKE_CASE							(						cls      ,						UpperCAmelCase      ,						UpperCAmelCase      ,						**UpperCAmelCase    ) ->    List[str]:
								return cls(text_config=text_config.to_dict()      ,						vision_config=vision_config.to_dict()      ,						**UpperCAmelCase    )







			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Dict:
								__a							=   copy.deepcopy(self.__dict__    )
								__a							=   self.text_config.to_dict()
								__a							=   self.vision_config.to_dict()
								__a							=   self.__class__.model_type
								return output





def 							lowerCAmelCase(	__lowerCamelCase = 10**6						):

					if n <= 0:
										raise ValueError('Please enter an integer greater than 0'						)

					__a							=   list(range(n + 1						)						)
					for number in range(2      ,				n + 1						):
										if phi[number] == number:
															phi[number] -= 1
															for multiple in range(number * 2      ,				n + 1      ,				__lowerCamelCase						):
																				__a							=   (phi[multiple] // number) * (number - 1)

					__a							=   1
					for number in range(1      ,				n + 1						):
										if (answer / phi[answer]) < (number / phi[number]):
															__a							=   number

					return answer


if __name__ == "__main__":
	print(solution())




