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by Simon
01:21
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gradient_free_optimizers.utils   A

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Complexity

Total Complexity 2

Size/Duplication

Total Lines 11
Duplicated Lines 0 %

Importance

Changes 0
Metric Value
eloc 8
dl 0
loc 11
rs 10
c 0
b 0
f 0
wmc 2

1 Function

Rating   Name   Duplication   Size   Complexity  
A split_into_subspaces() 0 6 2
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import numpy as np
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import itertools
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def split_into_subspaces(search_space, split_per_dim=2):

            


            
                                                        
            
                                    
            
            

                
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    sub_arrays = []

            


            
                                                        
            
                                    
            
            

                
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    for search_dim in search_space:

            


            
                                                        
            
                                    
            
            

                
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        sub_arrays.append(np.array_split(search_dim, split_per_dim))

            


            
                                                        
            
                                    
            
            

                
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    return [list(p) for p in itertools.product(*sub_arrays)]

            


            
                                                        
            
                                    
            
            

                
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