human
I wrote the below code

    A = np.asarray(A)
    total = np.sum(A)
    if (total > 0):
        corr_mat = (A / total)
    else:
        corr_mat = A
    col_sum = np.sum(corr_mat, axis=0, keepdims=True)
    row_sum = np.sum(corr_mat, axis=1, keepdims=True)
    E = (row_sum * col_sum)
    (D_r, D_c) = ((row_sum.ravel() ** (-1)), (col_sum.ravel() ** (-1)))
    (D_r, D_c) = (np.nan_to_num(D_r), np.nan_to_num(D_c))
    def gsvd(M, wu, wv):
        assert (len(M.shape) == 2)
        assert ((len(wu.shape) == 1) and (len(wv.shape) == 1))
        Wu_sqrt = np.sqrt(wu)
        Wv_sqrt = np.sqrt(wv)
        B = ((np.c_[Wu_sqrt] * M) * np.r_[Wv_sqrt])
        (Ub, D, Vb) = np.linalg.svd(B, full_matrices=False)
        U = (np.c_[(Wu_sqrt ** (-1))] * Ub)
        V = (np.c_[(Wv_sqrt ** (-1))] * Vb.T).T
        return (U, D, V)
    (U, D, V) = gsvd((corr_mat - E), D_r, D_c)
    F = ((np.c_[D_r] * U) * D)
    G = ((np.c_[D_c] * V.T) * D)
    if ((F.shape == (1, 1)) and (F[(0, 0)] == 0)):
        F[(0, 0)] = 1
    return CA(U, D, V, F, G, row_sum, col_sum)

What's a good function header?

=====
Here's a good function header?
assistant
#Here's a good function header.

def correspondence(A):