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from torchio import RandomMotion |
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from ...utils import TorchioTestCase |
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from numpy.testing import assert_array_equal |
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class TestRandomMotion(TorchioTestCase): |
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"""Tests for `RandomMotion`.""" |
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def test_bad_num_transforms_value(self): |
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with self.assertRaises(ValueError): |
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RandomMotion(num_transforms=0) |
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def test_no_movement(self): |
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transform = RandomMotion( |
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degrees=0, |
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translation=0, |
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num_transforms=1 |
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) |
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transformed = transform(self.sample) |
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assert_array_equal(self.sample.t1.data, transformed.t1.data) |
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def test_with_movement(self): |
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transform = RandomMotion( |
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num_transforms=1 |
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) |
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transformed = transform(self.sample) |
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with self.assertRaises(AssertionError): |
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assert_array_equal(self.sample.t1.data, transformed.t1.data) |
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def test_negative_degrees(self): |
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with self.assertRaises(ValueError): |
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RandomMotion(degrees=-10) |
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def test_wrong_degrees_type(self): |
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with self.assertRaises(ValueError): |
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RandomMotion(degrees='wrong') |
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def test_negative_translation(self): |
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with self.assertRaises(ValueError): |
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RandomMotion(translation=-10) |
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def test_wrong_translation_type(self): |
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with self.assertRaises(ValueError): |
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RandomMotion(translation='wrong') |
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def test_wrong_image_interpolation_type(self): |
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with self.assertRaises(TypeError): |
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RandomMotion(image_interpolation=0) |
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def test_wrong_image_interpolation_value(self): |
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with self.assertRaises(AttributeError): |
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RandomMotion(image_interpolation='wrong') |
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fepegar /
torchio
