Wrong A matrix?

[luitjens]

    if n > m:
        v = svd_1d(matrixFor1D, epsilon=epsilon)  # next singular vector
        u_unnormalized = np.dot(A, v)
        sigma = norm(u_unnormalized)  # next singular value
        u = u_unnormalized / sigma
    else:
        u = svd_1d(matrixFor1D, epsilon=epsilon)  # next singular vector
        v_unnormalized = np.dot(A.T, u)
        sigma = norm(v_unnormalized)  # next singular value
        v = v_unnormalized / 

In the above code you multiply by A or A.T. Shouldn't you be using the updated matrix: matrixFor1D or matrixFor1D.T?