def test_design_matrix(self):
x_train = TEST_DATA['design_matrix']['x_train']
M = TEST_DATA['design_matrix']['M']
dm_expected = TEST_DATA['design_matrix']['dm']
dm = design_matrix(x_train, M)
self.assertEqual(np.shape(dm), (20, 8))
np.testing.assert_almost_equal(dm, dm_expected)
def test_design_matrix(self):
x_train = TEST_DATA['design_matrix']['x_train']
M = TEST_DATA['design_matrix']['M']
dm = TEST_DATA['design_matrix']['dm']
dm_computed = design_matrix(x_train, M)
max_diff = np.max(np.abs(dm - dm_computed))
self.assertAlmostEqual(max_diff, 0, 8)