def test__get_candidates_none(self):
recommender = Recommender(self.dpp_matrix, self.n_components)
X = np.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
recommender.dpp_vector = X
candidates = recommender._get_candidates()
expected = None
self.assertEqual(expected, candidates)
def test__get_candidates_some(self):
recommender = Recommender(self.dpp_matrix, self.n_components)
X = np.array([0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0])
recommender.dpp_vector = X
expected = np.array([0, 1, 2, 4, 6, 8, 10, 11, 12, 14, 15])
candidates = recommender._get_candidates()
np.testing.assert_array_equal(
candidates,
expected,
)
def test__get_candidates_all(self):
recommender = Recommender(self.dpp_matrix, self.n_components)
X = np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
recommender.X = X
candidates = recommender._get_candidates()
expected = np.array(
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]
)
np.testing.assert_array_equal(
candidates,
expected,
)