def test_evaluate_barycentric_negative_weights_no_verify(self):
lambda_vals = (0.25, -0.5, 1.25)
nodes = np.asfortranarray([[0.0, 1.0, 0.0], [0.0, 0.5, 1.25]])
triangle = self._make_one(nodes, 1)
self.assertLess(min(lambda_vals), 0.0)
result = triangle.evaluate_barycentric(*lambda_vals, _verify=False)
expected = np.asfortranarray([[-0.5], [1.3125]])
self.assertEqual(result, expected)
def test_evaluate_barycentric_non_unity_weights_no_verify(self):
lambda_vals = (0.25, 0.25, 0.25)
nodes = np.asfortranarray([[0.0, 1.0, 0.0], [0.0, 0.5, 1.25]])
triangle = self._make_one(nodes, 1)
self.assertNotEqual(sum(lambda_vals), 1.0)
result = triangle.evaluate_barycentric(*lambda_vals, _verify=False)
expected = np.asfortranarray([[0.25], [0.4375]])
self.assertEqual(result, expected)
def test_evaluate_barycentric(self):
triangle = self._make_one(self.UNIT_TRIANGLE, 1, copy=False)
lambda_vals = (0.25, 0.0, 0.75)
# Just make sure we call the helper.
patch = unittest.mock.patch(
"bezier._triangle_helpers.evaluate_barycentric",
return_value=unittest.mock.sentinel.evaluated,
)
with patch as mocked:
result = triangle.evaluate_barycentric(*lambda_vals)
self.assertIs(result, unittest.mock.sentinel.evaluated)
mocked.assert_called_once_with(self.UNIT_TRIANGLE, 1, *lambda_vals)