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Pull Request — master (#246)
by Fernando
01:07
created

TestRandomSampler.test_not_implemented()   A

↳ Parent: tests.data.sampler.test_random_sampler

Complexity

Conditions 3

Size

Total Lines 6
Code Lines 6

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 3
eloc 6
nop 1
dl 0
loc 6
rs 10
c 0
b 0
f 0
1 
import torch
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import torchio
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import numpy as np
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from torchio.data.sampler import RandomSampler
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from ...utils import TorchioTestCase
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class TestRandomSampler(TorchioTestCase):

            


            
                                                                                                            
                                                                
            
                                    
            
            

                
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    """Tests for `RandomSampler` class."""

            


            
                                                        
            
                                    
            
            

                
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    def test_not_implemented(self):

            


            
                                                        
            
                                    
            
            

                
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        sampler = RandomSampler(1)

            


            
                                                        
            
                                    
            
            

                
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        with self.assertRaises(NotImplementedError):

            


            
                                                        
            
                                    
            
            

                
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            sampler(self.sample, 5)

            


            
                                                        
            
                                    
            
            

                
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        with self.assertRaises(NotImplementedError):

            


            
                                                        
            
                                    
            
            

                
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            sampler.get_probability_map(self.sample)

            


            
                                                        
            
                                    
            
            

                
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