


"""simple docstring"""





def      _snake_case	(						_snake_case				:			List[Any] = 1 ,   _snake_case				:			Optional[int] = 1000			):
      lowerCAmelCase					:	List[Any]       =   1
      lowerCAmelCase					:	Optional[Any]       =   0

      for divide_by_number in range(SCREAMING_SNAKE_CASE_ ,   digit + 1			):
            lowerCAmelCase					:	list[int]       =   []
            lowerCAmelCase					:	Union[str, Any]       =   numerator
            for _ in range(1 ,   digit + 1			):
                  if now_divide in has_been_divided:
                        if longest_list_length < len(SCREAMING_SNAKE_CASE_			):
                              lowerCAmelCase					:	List[Any]       =   len(SCREAMING_SNAKE_CASE_			)
                              lowerCAmelCase					:	Any       =   divide_by_number
                  else:
                        has_been_divided.append(SCREAMING_SNAKE_CASE_			)
                        lowerCAmelCase					:	str       =   now_divide * 10 % divide_by_number

      return the_digit


# Tests
if __name__ == "__main__":
 import doctest

 doctest.testmod()






"""simple docstring"""





from torch import nn



class 		snake_case_(       nn.Module			):






     def __init__(	self  :					int					,				UpperCamelCase_  :					int					,				UpperCamelCase_  :					int				):
           super().__init__()
           lowerCAmelCase					:	str       =   class_size
           lowerCAmelCase					:	Dict       =   embed_size
           # self.mlp1 = nn.Linear(embed_size, embed_size)
           # self.mlp2 = (nn.Linear(embed_size, class_size))
           lowerCAmelCase					:	Any       =   nn.Linear(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					List[Any]					,				UpperCamelCase_  :					Tuple				):
           # hidden_state = nn.functional.relu(self.mlp1(hidden_state))
           # hidden_state = self.mlp2(hidden_state)
           lowerCAmelCase					:	int       =   self.mlp(UpperCamelCase_				)
           return logits


