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tests.test_RandomSearch._base_test()   A

↳ Parent: tests.test_RandomSearch

Complexity

Conditions 3

Size

Total Lines 10
Code Lines 9

Duplication

Lines 10
Ratio 100 %

Importance

Changes 0
Metric Value
eloc 9
dl 10
loc 10
rs 9.95
c 0
b 0
f 0
cc 3
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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from gradient_free_optimizers import RandomSearchOptimizer

            


            
                                                                                                            
                            
            
                                    
            
            

                
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n_iter = 100

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def get_score(pos_new):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    return -(pos_new[0] * pos_new[0])

            


            
                                                                                                            
                            
            
                                    
            
            

                
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space_dim = np.array([10])

            


            
                                                                                                            
                            
            
                                    
            
            

                
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init_positions = [np.array([0]), np.array([1]), np.array([2]), np.array([3])]

            


            
                                                                                                            
                            
            
                                    
            
            

                
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                View Code Duplication
                
def _base_test(opt, init_positions):

            


                            

                    
                        
                    
                    
                    
                    
                                                                                                    
                        

                            
                            
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    for nth_init in range(len(init_positions)):

            


            
                                                                        
                            
            
                                    
            
            

                
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        pos_new = opt.init_pos(nth_init)

            


            
                                                                        
                            
            
                                    
            
            

                
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        score_new = get_score(pos_new)

            


            
                                                                        
                            
            
                                    
            
            

                
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        opt.evaluate(score_new)

            


            
                                                                        
                            
            
                                    
            
            

                
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    for nth_iter in range(len(init_positions), n_iter):

            


            
                                                                        
                            
            
                                    
            
            

                
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        pos_new = opt.iterate(nth_iter)

            


            
                                                                        
                            
            
                                    
            
            

                
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        score_new = get_score(pos_new)

            


            
                                                                        
                            
            
                                    
            
            

                
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        opt.evaluate(score_new)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def _test_RandomSearchOptimizer(

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    init_positions=init_positions, space_dim=space_dim, opt_para={}

            


            
                                                                                                            
                            
            
                                    
            
            

                
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):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    opt = RandomSearchOptimizer(init_positions, space_dim, opt_para)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    _base_test(opt, init_positions)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def test_epsilon():

            


            
                                                                                                            
                                                                
            
                                    
            
            

                
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    _test_RandomSearchOptimizer()

            


            
                                                        
            
                                    
            
            

                
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