def test_weights_zero():
query = np.atleast_2d([1, 1])
knop_test = KNOP(create_pool_classifiers())
knop_test.fit(X_dsel_ex1, y_dsel_ex1)
knop_test.estimate_competence = MagicMock(return_value=np.zeros(3))
result = knop_test.select(query)
assert np.array_equal(result, np.array([0, 1, 0]))
def test_estimate_competence(index, expected):
query = np.atleast_2d([1, 1])
knop_test = KNOP(create_pool_classifiers())
knop_test.fit(X_dsel_ex1, y_dsel_ex1)
knop_test.DFP_mask = np.ones(knop_test.n_classifiers)
knop_test.neighbors = neighbors_ex1[index, :]
knop_test.distances = distances_ex1[index, :]
competences = knop_test.estimate_competence(query)
assert np.isclose(competences, expected, atol=0.01).all()
