def test_two_dimensional_tensor(pts):
"""Verify that the oneDimensionalCover fails for an input
with more than one dimension, and that the CubicalCover
does not."""
one_d = OneDimensionalCover()
with pytest.raises(ValueError):
one_d.fit(pts)
cubical = CubicalCover()
_ = cubical.fit(pts)
def test_cubical_fit_transform_consistent_with_1D(
filter_values, kind, n_intervals, overlap_fraction
):
"""Check that CubicalCover gives the same results as OneDimensionalCover,
on one-d data """
one_d = OneDimensionalCover(kind, n_intervals, overlap_fraction)
cubical = CubicalCover(kind, n_intervals, overlap_fraction)
x_one_d = one_d.fit(filter_values).transform(filter_values)
x_cubical = cubical.fit(filter_values).transform(filter_values)
assert np.array_equal(x_one_d, x_cubical)