def test_locate_bad_point(self):
triangle = self._make_one(self.QUADRATIC, 2)
point1 = np.asfortranarray([0.0, 1.0])
point2 = np.asfortranarray([[0.0, 1.0, 2.0]])
with self.assertRaises(ValueError):
triangle.locate(point1)
with self.assertRaises(ValueError):
triangle.locate(point2)
def test_locate_no_verify(self):
triangle = self._make_one(self.QUADRATIC, 2)
s = 0.125
t = 0.125
x_val, y_val = triangle.evaluate_cartesian(s, t).flatten()
point = np.asfortranarray([[x_val, np.nan], [y_val, np.nan]])
# Make sure it fails.
with self.assertRaises(ValueError):
triangle.locate(point)
# Will only use the first row if _verify=False.
computed_s, computed_t = triangle.locate(point, _verify=False)
self.assertEqual(s, computed_s)
self.assertEqual(t, computed_t)
def test_locate_bad_dimension(self):
nodes = np.asfortranarray([[0.0, 1.0, 2.0]])
triangle = self._make_one(nodes, 1)
with self.assertRaises(NotImplementedError):
triangle.locate(None)
def test_locate(self):
triangle = self._make_one(self.QUADRATIC, 2)
point = triangle.evaluate_cartesian(0.5, 0.25)
s, t = triangle.locate(point)
self.assertEqual(s, 0.5)
self.assertEqual(t, 0.25)
