


import torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig

class     __snake_case							(      _UpperCAmelCase):
					SCREAMING_SNAKE_CASE_		:					Dict 				= CustomConfig
					def __init__(	self					:	Dict  ,			_lowerCAmelCase					:	str     )       ->				str:



											'''simple docstring'''





											super().__init__(_lowerCAmelCase     )
											__magic_name__ 		=			torch.nn.Linear(config.hidden_size  ,			config.hidden_size     )
					def   a (	self					:	Dict  ,			_lowerCAmelCase					:	str     )       ->				Dict:



											'''simple docstring'''





											return self.linear(_lowerCAmelCase     )







					def   a (	self					:	Optional[Any]  ,			_lowerCAmelCase					:	Dict     )       ->				Union[str, Any]:



											'''simple docstring'''





											pass







class     __snake_case							(      _UpperCAmelCase):
					SCREAMING_SNAKE_CASE_		:					Any 				= NoSuperInitConfig
					def __init__(	self					:	Any  ,			_lowerCAmelCase					:	List[str]     )       ->				List[Any]:



											'''simple docstring'''





											super().__init__(_lowerCAmelCase     )
											__magic_name__ 		=			torch.nn.Linear(config.attribute  ,			config.attribute     )
					def   a (	self					:	List[Any]  ,			_lowerCAmelCase					:	Optional[Any]     )       ->				Dict:



											'''simple docstring'''





											return self.linear(_lowerCAmelCase     )







					def   a (	self					:	int  ,			_lowerCAmelCase					:	List[Any]     )       ->				Optional[int]:



											'''simple docstring'''





											pass





def 							UpperCamelCase_  (				__snake_case			:						int = 1_00     )->      int:




						'''simple docstring'''
						__magic_name__ 		=			1
						__magic_name__ 		=			0
						for i in range(1	,			num + 1     ):
												fact *= i

						for j in str(__snake_case     ):
												result += int(__snake_case     )

						return result


if __name__ == "__main__":
					print(solution(int(input('''Enter the Number: ''').strip())))

