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test_direction_0()   A

↳ Parent: tests.test_parameters.test_grid_search

Complexity

Conditions 1

Size

Total Lines 13
Code Lines 10

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 1
eloc 10
nop 0
dl 0
loc 13
rs 9.9
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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import pytest

            


            
                                                                                                            
                            
            
                                    
            
            

                
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import numpy as np

            


            
                                                                                                            
                            
            
                                    
            
            

                
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from gradient_free_optimizers import GridSearchOptimizer

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def parabola_function(para):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    loss = para["x"] * para["x"] + para["y"] * para["y"]

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    return -loss

            


            
                                                                                                            
                            
            
                                    
            
            

                
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search_space = {

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    "x": np.arange(-100, 100, 1),

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    "y": np.arange(-100, 100, 1),

            


            
                                                                                                            
                            
            
                                    
            
            

                
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}

            


            
                                                                                                            
                            
            
                                    
            
            

                
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n_iter = 50

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def test_direction_0():

            


            
                                                        
            
                                    
            
            

                
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    n_initialize = 1

            


            
                                                        
            
                                    
            
            

                
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    opt = GridSearchOptimizer(

            


            
                                                        
            
                                    
            
            

                
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        search_space, initialize={"vertices": n_initialize}, direction="orthogonal"

            


            
                                                        
            
                                    
            
            

                
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    )

            


            
                                                        
            
                                    
            
            

                
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    opt.search(parabola_function, n_iter=n_iter)

            


            
                                                        
            
                                    
            
            

                
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    search_data = opt.search_data

            


            
                                                        
            
                                    
            
            

                
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    print("\n search_data \n", search_data, "\n")

            


            
                                                        
            
                                    
            
            

                
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    y_data_count = search_data["y"].value_counts().to_dict()

            


            
                                                        
            
                                    
            
            

                
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    print("\n y_data_count \n", y_data_count, "\n")

            


            
                                                        
            
                                    
            
            

                
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    assert y_data_count[-100] >= n_iter - n_initialize

            


            
                                                        
            
                                    
            
            

                
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