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Push — master ( ce1e03...f67568 )
by Simon
14:21
created

hyperactive.optimizers.random.random_search   A

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Complexity

Total Complexity 4

Size/Duplication

Total Lines 32
Duplicated Lines 0 %

Importance

Changes 0
Metric Value
eloc 18
dl 0
loc 32
rs 10
c 0
b 0
f 0
wmc 4

3 Methods

Rating   Name   Duplication   Size   Complexity  
A RandomSearchOptimizer._init_iteration() 0 7 1
A RandomSearchOptimizer._iterate() 0 10 2
A RandomSearchOptimizer.__init__() 0 3 1
1 
# Author: Simon Blanke
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# Email: [email protected]
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# License: MIT License
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from ...base_optimizer import BaseOptimizer

            


            
                                                        
            
                                    
            
            

                
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class RandomSearchOptimizer(BaseOptimizer):

            


            
                                                        
            
                                    
            
            

                
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    def __init__(self, _opt_args_):

            


            
                                                        
            
                                    
            
            

                
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        super().__init__(_opt_args_)

            


            
                                                        
            
                                    
            
            

                
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        self.n_positioners = 1

            


            
                                                        
            
                                    
            
            

                
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    def _iterate(self, i, _cand_):

            


            
                                                        
            
                                    
            
            

                
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        if i < 1:

            


            
                                                        
            
                                    
            
            

                
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            self._init_iteration(_cand_)

            


            
                                                        
            
                                    
            
            

                
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        else:

            


            
                                                        
            
                                    
            
            

                
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            self.p_list[0].move_random(_cand_)

            


            
                                                        
            
                                    
            
            

                
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            self._optimizer_eval(_cand_, self.p_list[0])

            


            
                                                        
            
                                    
            
            

                
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            self._update_pos(_cand_, self.p_list[0])

            


            
                                                        
            
                                    
            
            

                
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        return _cand_

            


            
                                                        
            
                                    
            
            

                
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    def _init_iteration(self, _cand_):

            


            
                                                        
            
                                    
            
            

                
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        p = super()._init_base_positioner(_cand_)

            


            
                                                        
            
                                    
            
            

                
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        self._optimizer_eval(_cand_, p)

            


            
                                                        
            
                                    
            
            

                
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        self._update_pos(_cand_, p)

            


            
                                                        
            
                                    
            
            

                
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        return p

            


            
                                                        
            
                                    
            
            

                
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