mparray_test.py 文件源码

def test_split(nr_sites, local_dim, rank, rgen):
    if nr_sites < 2:
        return
    mpa = factory.random_mpa(nr_sites, local_dim, rank, randstate=rgen)
    for pos in range(nr_sites - 1):
        mpa_l, mpa_r = mpa.split(pos)
        assert len(mpa_l) == pos + 1
        assert len(mpa_l) + len(mpa_r) == nr_sites
        assert_correct_normalization(mpa_l)
        assert_correct_normalization(mpa_r)
        recons = np.tensordot(mpa_l.to_array(), mpa_r.to_array(), axes=(-1, 0))
        assert_array_almost_equal(mpa.to_array(), recons)

    for (lnorm, rnorm) in it.product(range(nr_sites - 1), range(1, nr_sites)):
        mpa_l, mpa_r = mpa.split(nr_sites // 2 - 1)
        assert_correct_normalization(mpa_l)
        assert_correct_normalization(mpa_r)