

"""simple docstring"""




import copy

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


__A	:       Dict        =						logging.get_logger(__name__)





class      __UpperCamelCase					(  _A		):
		SCREAMING_SNAKE_CASE														=       "hybrid-clip"
		SCREAMING_SNAKE_CASE														=       True


		def __init__(self					:						str	,	__SCREAMING_SNAKE_CASE					:						str=5_1_2	,	**__SCREAMING_SNAKE_CASE					:						str):
							super().__init__(**__SCREAMING_SNAKE_CASE)

							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(__SCREAMING_SNAKE_CASE	,	**__SCREAMING_SNAKE_CASE)

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

												A     =   CLIPVisionConfig(**__SCREAMING_SNAKE_CASE)
							else:
												A     =   AutoConfig.for_model(__SCREAMING_SNAKE_CASE	,	**__SCREAMING_SNAKE_CASE)

							A     =   projection_dim
							A     =   1.0


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


		def    SCREAMING_SNAKE_CASE__  (self					:						Optional[Any]):
							A     =   copy.deepcopy(self.__dict__)
							A     =   self.text_config.to_dict()
							A     =   self.vision_config.to_dict()
							A     =   self.__class__.model_type
							return output











"""simple docstring"""
import math






def 				__lowerCAmelCase					(					__lowerCAmelCase			:		Tuple						)    ->       Any:
 _UpperCamelCase      :	str					      =  0
 if n % 2 == 0:
  count += 1
  while n % 2 == 0:
   _UpperCamelCase      :	List[Any]					      =  int(n / 2						)
    # the n input value must be odd so that
    # we can skip one element (ie i += 2)

 _UpperCamelCase      :	Tuple					      =  3

 while i <= int(math.sqrt(__lowerCAmelCase						)						):
  if n % i == 0:
   count += 1
   while n % i == 0:
    _UpperCamelCase      :	Any					      =  int(n / i						)
  _UpperCamelCase      :	Optional[Any]					      =  i + 2

 # this condition checks the prime
 # number n is greater than 2

 if n > 2:
  count += 1
 return count


if __name__ == "__main__":
    _SCREAMING_SNAKE_CASE						 =     5_1_2_4_2_1_8_3
    print(f'The number of distinct prime factors is/are {exact_prime_factor_count(n)}')
    print(f'The value of log(log(n)) is {math.log(math.log(n)):.4f}')



