def test_wap_qhullerror():
""""Test that SciPy raises a QhullError when there are too few points (at
least 4 are needed)"""
X_pc_2 = np.array([[[0., 1.], [1., 2.], [2., 3.]]])
wap = WeakAlphaPersistence()
with pytest.raises(QhullError):
wap.fit_transform(X_pc_2)
def test_wap_transform(X, max_edge_length, infinity_values):
wap = WeakAlphaPersistence(max_edge_length=max_edge_length,
infinity_values=infinity_values)
# This is not generally true, it is only a way to obtain the res array
# in this specific case
X_exp = X_wap_exp.copy()
X_exp[:, :, :2][X_exp[:, :, :2] >= max_edge_length] = infinity_values
assert_almost_equal(wap.fit_transform(X), X_exp)
def test_wap_fit_transform_plot(X, hom_dims):
WeakAlphaPersistence().fit_transform_plot(X,
sample=0,
homology_dimensions=hom_dims)
def test_wap_low_infinity_values(X):
wap = WeakAlphaPersistence(max_edge_length=0.001, infinity_values=-1)
assert_almost_equal(wap.fit_transform(X)[:, :, :2], np.zeros((1, 2, 2)))
def test_wap_list_of_arrays_different_size():
X = [X_pc[0], X_pc[0][:-1]]
wap = WeakAlphaPersistence()
assert_almost_equal(wap.fit_transform(X)[0], X_wap_exp[0])
def test_wap_not_fitted():
wap = WeakAlphaPersistence()
with pytest.raises(NotFittedError):
wap.transform(X_pc)
def test_wap_params():
coeff = 'not_defined'
wap = WeakAlphaPersistence(coeff=coeff)
with pytest.raises(TypeError):
wap.fit_transform(X_pc)
