def test_singlular_values(self):
a = POD('svd')
a.reduce(snapshots)
np.testing.assert_allclose(
a.singular_values,
np.array([887.15704, 183.2508, 84.11757, 26.40448]),
rtol=1e-6,
atol=1e-8)
def test_modes(self):
a = POD('svd')
a.reduce(snapshots)
np.testing.assert_allclose(a.modes, modes)
def test_correlation_matirix_savemem_old(self):
pod = POD('correlation_matrix', save_memory=True).fit(snapshots)
snapshots_ = pod.expand(pod.reduce(snapshots))
np.testing.assert_array_almost_equal(snapshots, snapshots_, decimal=4)
def test_randomized_svd_old(self):
pod = POD('randomized_svd', save_memory=False).fit(snapshots)
snapshots_ = pod.expand(pod.reduce(snapshots))
np.testing.assert_array_almost_equal(snapshots, snapshots_, decimal=4)
def test_correlation_matrix_old(self):
pod = POD('correlation_matrix').fit(snapshots)
snapshots_ = pod.expand(pod.reduce(snapshots))
np.testing.assert_array_almost_equal(snapshots, snapshots_, decimal=3)
def test_numpysvd_old(self):
pod = POD('svd').fit(snapshots)
snapshots_ = pod.expand(pod.reduce(snapshots))
np.testing.assert_array_almost_equal(snapshots, snapshots_, decimal=4)
def test_truncation_08(self):
a = POD(method='randomized_svd', rank=0.995)
a.reduce(snapshots)
assert a.singular_values.shape[0] == 3
def test_truncation_07(self):
a = POD(method='svd', rank=0.8)
a.reduce(snapshots)
assert a.singular_values.shape[0] == 1
def test_truncation_06(self):
a = POD(method='correlation_matrix', rank=4)
a.reduce(snapshots)
assert a.singular_values.shape[0] == 4
