def test_generate_normals_unnormalized(self):
vertices = np.array([[2.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 2.0, 0.0],
[2.0, 2.0, 0.0]])
index = np.array([
[0, 2, 1],
[0, 3, 2],
])
v1, v2, v3 = np.rollaxis(vertices[index], axis=1)
result = vector3.generate_normals(v1, v2, v3, normalize_result=False)
expected = np.array([[0., 0., 4.], [0., 0., 4.]])
np.testing.assert_array_equal(result, expected)
def test_generate_normals_unnormalized(self):
vertices = np.array([
[2.0, 0.0, 0.0],
[0.0, 0.0, 0.0],
[0.0, 2.0, 0.0],
[2.0, 2.0, 0.0]
])
index = np.array([
[0, 2, 1],
[0, 3, 2],
])
v1, v2, v3 = np.rollaxis(vertices[index], axis=1)
result = vector3.generate_normals(v1, v2, v3, normalize_result=False)
expected = np.array([
[0., 0., 4.],
[0., 0., 4.]
])
np.testing.assert_array_equal(result, expected)
def normal(self, v2, v3, normalise_result=True):
return type(self)(vector3.generate_normals(self,
type(self)(v2),
type(self)(v3),
normalise_result))
def normal(self, v2, v3, normalise_result=True):
return type(self)(vector3.generate_normals(self, type(self)(v2), type(self)(v3), normalise_result))
def cull_face(vertices: List[Vector3], face: Face, side: str = 'back') -> bool:
z = vector3.generate_normals(vertices[face.vertices[0]],
vertices[face.vertices[1]],
vertices[face.vertices[2]])[2]
return z >= 0 if side == 'back' else z < 0