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by Simon
14:21
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RandomSearchOptimizer._init_iteration()   A

↳ Parent: hyperactive.optimizers.random.random_search

Complexity

Conditions 1

Size

Total Lines 7
Code Lines 5

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 1
eloc 5
nop 2
dl 0
loc 7
rs 10
c 0
b 0
f 0
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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 ...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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