def invertNormals(self) -> None:
if self._normals is not None:
mirror = Matrix()
mirror.setToIdentity()
mirror.scaleByFactor(-1.0)
self._normals = transformNormals(self._normals, mirror)
if self._indices is not None:
new_indices = []
for face in self._indices:
new_indices.append([face[1], face[0], face[2]])
self._indices = NumPyUtil.immutableNDArray(new_indices)
else:
new_vertices = []
num_vertices = len(self._vertices)
for i in range(0, num_vertices, 3):
new_vertices.append(self._vertices[i + 1])
new_vertices.append(self._vertices[i])
new_vertices.append(self._vertices[i + 2])
self._vertices = NumPyUtil.immutableNDArray(new_vertices)
def test_scaleByFactor(self):
matrix = Matrix()
matrix.scaleByFactor(2)
assert matrix.getScale() == Vector(2, 2, 2)
def test_scaleByFactor(self):
matrix = Matrix()
matrix.scaleByFactor(2)
assert matrix.getScale() == Vector(2, 2, 2)
