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gradient_free_optimizers.optimizers.pop_opt._individual   A
last analyzed

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Complexity

Total Complexity 2

Size/Duplication

Total Lines 16
Duplicated Lines 0 %

Importance

Changes 0
Metric Value
wmc 2
eloc 8
dl 0
loc 16
rs 10
c 0
b 0
f 0

2 Methods

Rating   Name   Duplication   Size   Complexity  
A Individual.__init__() 0 3 1
A Individual.mutate() 0 2 1
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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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from ..local_opt import HillClimbingOptimizer

            


            
                                                        
            
                                    
            
            

                
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class Individual(HillClimbingOptimizer):

            


            
                                                        
            
                                    
            
            

                
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    def __init__(self, *args, rand_rest_p=0.03, **kwargs):

            


            
                                                        
            
                                    
            
            

                
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        super().__init__(*args, **kwargs)

            


            
                                                        
            
                                    
            
            

                
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        self.rand_rest_p = rand_rest_p

            


            
                                                        
            
                                    
            
            

                
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    def mutate(self):

            


            
                                                        
            
                                    
            
            

                
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        pass

            


            
                                                        
            
                                    
            
            

                
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