X: np.array [num_row, num_column] --- matrix-argument a: float --- meaning for converting odd elements of lines into x Return s: np.array [num_row, num_column*2] --- Matrix, where the lines are flexible lines of the original matrix X with lines, which are their transformations The function takes on the input matrix X dimensions n x m, the number a and Returns the matrix with dimensions n x m*2, the i-th line of which is glued I-th line X with its transformation of its line Transformation (X [I]), written in the reverse order, where the transformation for the number K is defined as: Transformation (k) = a if ind (k) % 2 == 0 else k ** 3 In the implementation of this function, it is necessary to use the functionality of the Numpy package

def transformation(X):
    s = []
    m,n = np.shape(X)
    for i in range(m):
        s.append(np.hstack((X[i], X[i][::-1])))
    for k in range(m):
        for j in range(n):
            if (j % 2 == 0):
                s[k][j+n] = a
            else:
                s[k][j+n] = s[k][j+n] ** 3
    s = np.array(s)
    return s