| Conditions | 1 |
| Total Lines | 10 |
| Code Lines | 10 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
| 1 | import torch |
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| 19 | def test_same_affine(self): |
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| 20 | image = tio.ScalarImage(tensor=torch.rand(2, 2, 2, 2)) |
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| 21 | mask = tio.LabelMap(tensor=torch.rand(2, 2, 2, 2)) |
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| 22 | mask.affine *= 1.1 |
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| 23 | subject = tio.Subject(t1=image, mask=mask) |
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| 24 | transform = tio.CopyAffine('t1') |
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| 25 | transformed = transform(subject) |
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| 26 | self.assertTensorEqual( |
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| 27 | transformed['t1'].affine, |
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| 28 | transformed['mask'].affine, |
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| 29 | ) |
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| 30 |