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BasePopulationOptimizer.__init__()   A

↳ Parent: gradient_free_optimizers.optimizers.population.base_population_optimizer

Complexity

Conditions 1

Size

Total Lines 12
Code Lines 10

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 1
eloc 10
nop 3
dl 0
loc 12
rs 9.9
c 0
b 0
f 0
1 
# 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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from ...converter import Converter

            


            
                                                                                                            
                            
            
                                    
            
            

                
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from ...results_manager import ResultsManager

            


            
                                                                                                            
                            
            
                                    
            
            

                
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class BasePopulationOptimizer:

            


            
                                                                        
                            
            
                                    
            
            

                
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    def __init__(

            


            
                                                                        
                            
            
                                    
            
            

                
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        self,

            


            
                                                                        
                            
            
                                    
            
            

                
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        search_space,

            


            
                                                                        
                            
            
                                    
            
            

                
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        initialize={"grid": 4, "random": 2, "vertices": 4},

            


            
                                                                        
                            
            
                                    
            
            

                
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    ):

            


            
                                                                        
                            
            
                                    
            
            

                
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        super().__init__()

            


            
                                                                        
                            
            
                                    
            
            

                
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        self.conv = Converter(search_space)

            


            
                                                                        
                            
            
                                    
            
            

                
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        self.results_mang = ResultsManager(self.conv)

            


            
                                                                        
                            
            
                                    
            
            

                
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        self.initialize = initialize

            


            
                                                                        
                            
            
                                    
            
            

                
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        self.eval_times = []

            


            
                                                                        
                            
            
                                    
            
            

                
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        self.iter_times = []

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    def _iterations(self, positioners):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        nth_iter = 0

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        for p in positioners:

            


            
                                                                                                            
                            
            
                                    
            
            

                
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            nth_iter = nth_iter + len(p.pos_new_list)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        return nth_iter

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    def finish_initialization(self):

            


            
                                                        
            
                                    
            
            

                
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        pass