def test_classify_instance_all(competences, expected):
query = np.array([-1, 1])
pool_classifiers = create_pool_classifiers()
dcs_test = DCS(pool_classifiers, selection_method='all')
dcs_test.estimate_competence = MagicMock(return_value=competences)
predicted_label = dcs_test.classify_instance(query)
assert predicted_label == expected
def test_classify_instance():
query = np.array([-1, 1])
pool_classifiers = create_pool_classifiers()
dcs_test = DCS(pool_classifiers)
competences = np.random.rand(dcs_test.n_classifiers)
dcs_test.estimate_competence = MagicMock(return_value=competences)
expected = pool_classifiers[np.argmax(competences)].predict(query)[0]
predicted_label = dcs_test.classify_instance(query)
assert predicted_label == expected
