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TestWeightedSampler.get_sample()   A

↳ Parent: tests.data.sampler.test_weighted_sampler

Complexity

Conditions 1

Size

Total Lines 10
Code Lines 9

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 1
eloc 9
nop 2
dl 0
loc 10
rs 9.95
c 0
b 0
f 0
1 
import torch
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import torchio
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from torchio.data import WeightedSampler
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from ...utils import TorchioTestCase
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class TestWeightedSampler(TorchioTestCase):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    """Tests for `WeightedSampler` class."""

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    def test_weighted_sampler(self):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        sample = self.get_sample((7, 7, 7))

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        sampler = WeightedSampler(5, 'prob')

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        patch = next(iter(sampler(sample)))

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        self.assertEqual(tuple(patch['index_ini']), (1, 1, 1))

            


            
                                                                                                            
                                                                
            
                                    
            
            

                
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    def get_sample(self, image_shape):

            


            
                                                        
            
                                    
            
            

                
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        t1 = torch.rand(*image_shape)

            


            
                                                        
            
                                    
            
            

                
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        prob = torch.zeros_like(t1)

            


            
                                                        
            
                                    
            
            

                
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        prob[3, 3, 3] = 1

            


            
                                                        
            
                                    
            
            

                
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        subject = torchio.Subject(

            


            
                                                        
            
                                    
            
            

                
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            t1=torchio.Image(tensor=t1),

            


            
                                                        
            
                                    
            
            

                
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            prob=torchio.Image(tensor=prob),

            


            
                                                        
            
                                    
            
            

                
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        )

            


            
                                                        
            
                                    
            
            

                
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        sample = torchio.ImagesDataset([subject])[0]

            


            
                                                        
            
                                    
            
            

                
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        return sample

            


            
                                                        
            
                                    
            
            

                
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