def test_taylor_approximation(self, x, params):
manual_transformation = TaperingRotation()
auto_transformation = Composition(TaperingZ(), RotationZ())
expected = taylor.encode(manual_transformation, x, params)
actual = taylor.encode(auto_transformation, x, params)
self.assertSound(expected, params,
partial(manual_transformation.transform, x))
self.assertSound(actual, params,
partial(auto_transformation.transform, x))
self.assertAlmostEqualBounds(expected, actual)
def test_gradient_points_float(self, points, params):
expected = TaperingRotation().gradient_points(points, params)
actual = Composition(TaperingZ(),
RotationZ()).gradient_points(points, params)
self.assertAlmostEqualList(expected, actual)
def test_hessian_points_params_interval(self, points, params):
expected = TaperingRotation().hessian_points_params(points, params)
actual = Composition(TaperingZ(), RotationZ()).hessian_points_params(
points, params)
self.assertAlmostEqualList(expected, actual)
def test_transformation_interval(self, points, params):
expected = TaperingRotation().transform(points, params)
actual = Composition(TaperingZ(),
RotationZ()).transform(points, params)
self.assertAlmostEqualInterval(expected, actual)