def _eval_cartesian_multi_helper(self, **kwargs): nodes = np.asfortranarray([[2.0, 0.0, 3.0], [3.0, 2.0, 7.5]]) triangle = self._make_one(nodes, 1, copy=False) param_vals = np.asfortranarray([[1.0, 0.0]]) patch = unittest.mock.patch( "bezier._triangle_helpers.evaluate_cartesian_multi", return_value=unittest.mock.sentinel.evaluated, ) with patch as mocked: result = triangle.evaluate_cartesian_multi(param_vals, **kwargs) self.assertEqual(result, unittest.mock.sentinel.evaluated) mocked.assert_called_once_with(nodes, 1, param_vals, 2)
def test_elevate_linear(self): nodes = np.asfortranarray([[0.0, 2.0, -1.0], [0.0, 1.0, 2.0]]) triangle = self._make_one(nodes, 1) elevated = triangle.elevate() expected = np.asfortranarray([[0.0, 1.0, 2.0, -0.5, 0.5, -1.0], [0.0, 0.5, 1.0, 1.0, 1.5, 2.0]]) self.assertEqual(triangle._degree, 1) self.assertEqual(elevated._degree, 2) self.assertEqual(elevated._nodes, expected) main_vals = triangle.evaluate_cartesian_multi(self.REF_TRIANGLE3) sub_vals = elevated.evaluate_cartesian_multi(self.REF_TRIANGLE3) self.assertEqual(main_vals, sub_vals)
def test_elevate_quadratic(self): klass = self._get_target_class() nodes = np.asfortranarray([[0.0, 6.0, 9.0, 0.0, 6.0, -3.0]]) triangle = klass.from_nodes(nodes) elevated = triangle.elevate() expected = np.asfortranarray( [[0.0, 4.0, 7.0, 9.0, 0.0, 4.0, 7.0, -1.0, 3.0, -3.0]]) self.assertEqual(triangle._degree, 2) self.assertEqual(elevated._degree, 3) self.assertEqual(elevated._nodes, expected) main_vals = triangle.evaluate_cartesian_multi(self.REF_TRIANGLE3) sub_vals = elevated.evaluate_cartesian_multi(self.REF_TRIANGLE3) self.assertEqual(main_vals, sub_vals)
def test_evaluate_cartesian_multi_wrong_dimension(self): triangle = self._make_one(self.ZEROS, 1) param_vals_1d = np.zeros((4, ), order="F") with self.assertRaises(ValueError): triangle.evaluate_cartesian_multi(param_vals_1d)