def test_transformation_interval(self, points, params):
manual_transformation = RotationZX()
auto_transformation = Composition(RotationZ(), RotationX())
self.assertSound(manual_transformation.transform(points, params),
params,
partial(manual_transformation.transform, points))
self.assertSound(auto_transformation.transform(points, params), params,
partial(auto_transformation.transform, points))
def test_taylor_approximation(self, x, params):
manual_transformation = RotationZX()
auto_transformation = Composition(RotationZ(), RotationX())
manual = taylor.encode(manual_transformation, x, params)
auto = taylor.encode(auto_transformation, x, params)
self.assertSound(manual, params,
partial(manual_transformation.transform, x))
self.assertSound(auto, params, partial(auto_transformation.transform,
x))
def test_hessian_points_params_float(self, points, params):
expected = RotationZX().hessian_points_params(points, params)
actual = Composition(RotationZ(), RotationX()).hessian_points_params(
points, params)
self.assertAlmostEqualList(expected, actual)
def test_transformation_float(self, points, params):
manual_transformation = RotationZX()
auto_transformation = Composition(RotationZ(), RotationX())
expected = manual_transformation.transform(points, params)
actual = auto_transformation.transform(points, params)
self.assertAlmostEqualNumpy(expected, actual)