



'''simple docstring'''






def     snake_case_					(     lowerCAmelCase_ = 100		)->		int:





       '''simple docstring'''


       _UpperCAmelCase  :						Dict			     = set()

       _UpperCAmelCase  :						int			     = 0

       _UpperCAmelCase  :						List[str]			     = n + 1  # maximum limit

       for a in range(2       ,   lowerCAmelCase_		):
              for b in range(2       ,   lowerCAmelCase_		):
                     _UpperCAmelCase  :						List[Any]			     = a**b  # calculates the current power
                     collect_powers.add(lowerCAmelCase_		)  # adds the result to the set
       return len(lowerCAmelCase_		)


if __name__ == "__main__":
   print("""Number of terms """, solution(int(str(input()).strip())))








'''simple docstring'''






from torch import nn



class 							lowercase       (  nn.Module				):


 """simple docstring"""


 def __init__(							self  ,a_  ,a_							)		->   List[Any]:
        super().__init__()
        _UpperCAmelCase  :						Dict			     = class_size
        _UpperCAmelCase  :						Union[str, Any]			     = embed_size
        # self.mlp1 = nn.Linear(embed_size, embed_size)
        # self.mlp2 = (nn.Linear(embed_size, class_size))
        _UpperCAmelCase  :						List[Any]			     = nn.Linear(a_  ,a_							)







 def _snake_case (							self  ,a_							)		->   Tuple:
        # hidden_state = nn.functional.relu(self.mlp1(hidden_state))
        # hidden_state = self.mlp2(hidden_state)
        _UpperCAmelCase  :						Optional[int]			     = self.mlp(a_							)
        return logits



