def test_duplicated_data_in_fit_transform(self):
X = np.random.randn(100, 2)
d = DataInMemory([X, X])
tica = api.tica(data=d, lag=1, dim=1)
out1 = tica.get_output()
out2 = tica.fit_transform([X, X])
np.testing.assert_array_almost_equal(out1, out2)
def test_fit_transform(self):
X = np.random.randn(100, 2)
tica = _internal_tica(1, 1)
out = tica.fit_transform(X)
np.testing.assert_array_almost_equal(
out,
api.tica(data=X, lag=1, dim=1).get_output()[0])
