tests.transforms.preprocessing.test_contour

Complexity

Total Complexity

3

Size/Duplication

Total Lines	16
Duplicated Lines	0 %

Importance

Changes

0

2 Methods

Rating	Name	Duplication	Size	Complexity
A	TestContour.test_multichannel()	0	4	2
A	TestContour.test_one_hot()	0	3	1

import torch
import torchio as tio
from ...utils import TorchioTestCase


class TestContour(TorchioTestCase):
    """Tests for `Contour`."""
    def test_one_hot(self):
        image = self.sample_subject.label
        tio.Contour()(image)

    def test_multichannel(self):
        label_map = tio.LabelMap(tensor=torch.rand(2, 3, 3, 3) > 1)
        with self.assertRaises(RuntimeError):
            tio.Contour()(label_map)