def test_diagonal_empty_codes(self):
importance_matrix = np.array([[
1.,
0.,
], [0., 1.], [0., 0.]])
result = dci.disentanglement(importance_matrix)
np.testing.assert_allclose(result, 1.0)
def test_one_code_two_factors(self):
importance_matrix = np.diag(5. * np.ones(5))
importance_matrix = np.hstack([importance_matrix, importance_matrix])
result = dci.disentanglement(importance_matrix)
np.testing.assert_allclose(result, 1. - np.log(2) / np.log(10))
def test_missed_factors(self):
importance_matrix = np.diag(5. * np.ones(5))
result = dci.disentanglement(importance_matrix[:2, :])
np.testing.assert_allclose(result, 1.0)
def test_redundant_codes(self):
importance_matrix = np.diag(5. * np.ones(5))
importance_matrix = np.vstack([importance_matrix, importance_matrix])
result = dci.disentanglement(importance_matrix)
np.testing.assert_allclose(result, 1.)
def test_zero(self):
importance_matrix = np.zeros(shape=[10, 10], dtype=np.float64)
result = dci.disentanglement(importance_matrix)
np.testing.assert_allclose(result, .0)
def test_diagonal(self):
importance_matrix = np.diag(5. * np.ones(5))
result = dci.disentanglement(importance_matrix)
np.testing.assert_allclose(result, 1.0)