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tests.test_empty_output.verbose.ackley_function()   A
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↳ Parent: tests.test_empty_output.verbose

Complexity

Conditions 1

Size

Total Lines 12
Code Lines 8

Duplication

Lines 11
Ratio 91.67 %

Importance

Changes 0
Metric Value
eloc 8
dl 11
loc 12
rs 10
c 0
b 0
f 0
cc 1
nop 1
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"""Test module for verbose output functionality."""
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import sys

            


            
                                                                                                            
                            
            
                                    
            
            

                
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import numpy as np

            


            
                                                                                                            
                            
            
                                    
            
            

                
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from hyperactive import Hyperactive

            


            
                                                                                                            
                            
            
                                    
            
            

                
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                View Code Duplication
                
def ackley_function(para):

            


                            

                    
                        
                    
                    
                    
                    
                                                                                                    
                        

                            
                            
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    """Ackley optimization function for testing."""

            


            
                                                                        
                            
            
                                    
            
            

                
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    x, y = para["x"], para["y"]

            


            
                                                                        
                            
            
                                    
            
            

                
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    loss = (

            


            
                                                                        
                            
            
                                    
            
            

                
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        -20 * np.exp(-0.2 * np.sqrt(0.5 * (x * x + y * y)))

            


            
                                                                        
                            
            
                                    
            
            

                
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        - np.exp(0.5 * (np.cos(2 * np.pi * x) + np.cos(2 * np.pi * y)))

            


            
                                                                        
                            
            
                                    
            
            

                
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        + np.exp(1)

            


            
                                                                        
                            
            
                                    
            
            

                
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        + 20

            


            
                                                                        
                            
            
                                    
            
            

                
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    )

            


            
                                                                        
                            
            
                                    
            
            

                
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    return -loss

            


            
                                                                                                            
                            
            
                                    
            
            

                
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search_space = {

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    "x": list(np.arange(-10, 10, 0.01)),

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    "y": list(np.arange(-10, 10, 0.01)),

            


            
                                                                                                            
                            
            
                                    
            
            

                
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}

            


            
                                                                                                            
                            
            
                                    
            
            

                
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hyper = Hyperactive()

            


            
                                                                                                            
                            
            
                                    
            
            

                
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hyper.add_search(ackley_function, search_space, n_iter=30, memory=True)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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hyper.run()

            


            
                                                                                                            
                            
            
                                    
            
            

                
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sys.stdout.flush()

            


            
                                                        
            
                                    
            
            

                
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