def test_fit_does_not_throw_on_normalize(fit_data):
data, real_coefs = fit_data
coefs = fringezernike.fit(data, rms_norm=True)
assert coefs[8] != 0
def test_fit_raises_on_too_many_terms(fit_data):
data, real_coefs = fit_data
with pytest.raises(ValueError):
fringezernike.fit(data, num_terms=100)
def test_fit_agrees_with_truth(fit_data):
data, real_coefs = fit_data
coefs = fringezernike.fit(data)
real_coefs = np.asarray(real_coefs)
assert coefs[8] == pytest.approx(real_coefs[8])