def test_inverse_compose(self):
transform = Compose(
[
Resized(keys="img", spatial_size=[100, 100, 100]),
OneOf(
[
RandScaleIntensityd(keys="img", factors=0.5, prob=1.0),
RandShiftIntensityd(keys="img", offsets=0.5, prob=1.0),
]
),
]
)
transform.set_random_state(seed=0)
result = transform({"img": np.ones((1, 101, 102, 103))})
result = transform.inverse(result)
# invert to the original spatial shape
self.assertTupleEqual(result["img"].shape, (1, 101, 102, 103))
def test_random_compose(self):
class _Acc(Randomizable):
self.rand = 0.0
def randomize(self):
self.rand = self.R.rand()
def __call__(self, data):
self.randomize()
return self.rand + data
c = Compose([_Acc(), _Acc()])
self.assertNotAlmostEqual(c(0), c(0))
c.set_random_state(123)
self.assertAlmostEqual(c(1), 2.39293837)
c.set_random_state(223)
c.randomize()
self.assertAlmostEqual(c(1), 2.57673391)