@dec.skipif(NumpyVersion(np.__version__) < '1.8.0')
    def test_axis_kwd(self):
        a = np.array([[[2, 1], [3, 4]]] * 2, 'd')
        b = norm(a, ord=np.inf, axis=(1, 0))
        c = norm(np.swapaxes(a, 0, 1), ord=np.inf, axis=(0, 1))
        d = norm(a, ord=1, axis=(0, 1))
        assert_allclose(b, c)
        assert_allclose(c, d)
        assert_allclose(b, d)
        assert_(b.shape == c.shape == d.shape)
        b = norm(a, ord=1, axis=(1, 0))
        c = norm(np.swapaxes(a, 0, 1), ord=1, axis=(0, 1))
        d = norm(a, ord=np.inf, axis=(0, 1))
        assert_allclose(b, c)
        assert_allclose(c, d)
        assert_allclose(b, d)
        assert_(b.shape == c.shape == d.shape)
dataset/ETHPy150Open scipy/scipy/scipy/linalg/tests/test_basic.py/TestMatrixNorms.test_axis_kwd/original