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hyperactive.util.util.sort_for_best()   A

↳ Parent: hyperactive.util.util

Complexity

Conditions 1

Size

Total Lines 11
Code Lines 7

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
eloc 7
dl 0
loc 11
rs 10
c 0
b 0
f 0
cc 1
nop 2
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# Author: Simon Blanke
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# Email: [email protected]
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# License: MIT License
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import numpy as np

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def init_candidate(_main_args_, nth_process, Candidate):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    _main_args_._set_random_seed(nth_process)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    _cand_ = Candidate(nth_process, _main_args_)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    return _cand_

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def merge_dicts(base_dict, added_dict):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    # overwrite default values

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    for key in base_dict.keys():

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        if key in list(added_dict.keys()):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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            base_dict[key] = added_dict[key]

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    return base_dict

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def sort_for_best(sort, sort_by):

            


            
                                                        
            
                                    
            
            

                
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    # Returns two lists sorted by the second

            


            
                                                        
            
                                    
            
            

                
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    sort = np.array(sort)

            


            
                                                        
            
                                    
            
            

                
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    sort_by = np.array(sort_by)

            


            
                                                        
            
                                    
            
            

                
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    index_best = list(sort_by.argsort()[::-1])

            


            
                                                        
            
                                    
            
            

                
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    sort_sorted = sort[index_best]

            


            
                                                        
            
                                    
            
            

                
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    sort_by_sorted = sort_by[index_best]

            


            
                                                        
            
                                    
            
            

                
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    return sort_sorted, sort_by_sorted

            


            
                                                        
            
                                    
            
            

                
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