





import numpy as np



def A_     (		A__    )  ->		np.ndarray:
       return 1 / (1 + np.exp(-vector    ))



def A_     (		A__    )  ->		np.ndarray:
       return vector * sigmoid(A__    )


if __name__ == "__main__":
    import doctest

    doctest.testmod()









def A_     (		A__    )  ->		int:

       if not isinstance(A__		,				A__    ):
              raise TypeError('only integers accepted as input'    )
       else:
              a__						:     List[Any]			=    str(abs(A__    )    )
              a__						:     Optional[int]			=    [list(A__    ) for char in range(len(A__    )    )]
              for index in range(len(A__    )    ):
                     num_transpositions[index].pop(A__    )
              return max(
                  int(''.join(list(A__    )    )    ) for transposition in num_transpositions    )


if __name__ == "__main__":
    __import__("""doctest""").testmod()


