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Commit a8c4c5d

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Comparative Performance Benchmarks
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Date of testing: 2024年12月24日 13:12:00
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System Information
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============================================================
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Operating System: Windows (64bit)
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Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
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Python Version: 3.6.13 |Anaconda, Inc.| (default, Mar 16 2021, 11:37:27) [MSC v.1916 64 bit (AMD64)]
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============================================================
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Starting benchmark...
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Benchmark Summary
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============================================================
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Matrix Multiplication Results:
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Size 200x200:
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Median time: 0.806584 seconds
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Operations/second: 9,347,023.41
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Coefficient of variation: 13.53%
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Performance Score: 1.24
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Recursive Fibonacci Results:
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n=35:
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Time taken: 2.383864 seconds
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Performance Score: 0.42
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Bubble Sort Results:
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List size 5000:
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Time taken: 1.477196 seconds
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Performance Score: 0.68
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Prime Number Generation Results:
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Limit 30000:
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Primes found: 3245
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Time taken: 1.881664 seconds
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Performance Score: 0.53
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Summary Evaluation (Higher is better): 2.867686
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Date of testing: 2024年12月24日 13:12:30
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System Information
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============================================================
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Operating System: Windows (64bit)
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Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
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Python Version: 3.7.16 (default, Jan 17 2023, 16:06:28) [MSC v.1916 64 bit (AMD64)]
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============================================================
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Starting benchmark...
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Benchmark Summary
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============================================================
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Matrix Multiplication Results:
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Size 200x200:
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Median time: 0.932984 seconds
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Operations/second: 8,546,330.75
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Coefficient of variation: 1.32%
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Performance Score: 1.07
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Recursive Fibonacci Results:
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n=35:
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Time taken: 2.059310 seconds
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Performance Score: 0.49
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Bubble Sort Results:
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List size 5000:
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Time taken: 1.519559 seconds
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Performance Score: 0.66
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Prime Number Generation Results:
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Limit 30000:
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Primes found: 3245
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Time taken: 1.858048 seconds
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Performance Score: 0.54
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Summary Evaluation (Higher is better): 2.753714
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Date of testing: 2024年12月24日 13:13:08
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System Information
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============================================================
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Operating System: Windows (64bit)
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Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
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Python Version: 3.8.20 (default, Oct 3 2024, 15:19:54) [MSC v.1929 64 bit (AMD64)]
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============================================================
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Starting benchmark...
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Benchmark Summary
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============================================================
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Matrix Multiplication Results:
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Size 200x200:
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Median time: 1.346117 seconds
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Operations/second: 5,944,829.40
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Coefficient of variation: 0.50%
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Performance Score: 0.74
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Recursive Fibonacci Results:
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n=35:
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Time taken: 2.687183 seconds
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Performance Score: 0.37
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Bubble Sort Results:
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List size 5000:
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Time taken: 1.847840 seconds
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Performance Score: 0.54
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Prime Number Generation Results:
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Limit 30000:
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Primes found: 3245
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Time taken: 2.143302 seconds
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Performance Score: 0.47
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Summary Evaluation (Higher is better): 2.122756
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Date of testing: 2024年12月24日 13:13:50
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System Information
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============================================================
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Operating System: Windows (64bit)
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Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
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Python Version: 3.9.20 (main, Oct 3 2024, 07:38:01) [MSC v.1929 64 bit (AMD64)]
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============================================================
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Starting benchmark...
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Benchmark Summary
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============================================================
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Matrix Multiplication Results:
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Size 200x200:
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Median time: 0.693025 seconds
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Operations/second: 11,484,859.82
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Coefficient of variation: 1.53%
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Performance Score: 1.44
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Recursive Fibonacci Results:
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n=35:
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Time taken: 1.629292 seconds
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Performance Score: 0.61
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Bubble Sort Results:
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List size 5000:
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Time taken: 1.164734 seconds
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Performance Score: 0.86
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Prime Number Generation Results:
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Limit 30000:
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Primes found: 3245
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Time taken: 1.454710 seconds
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Performance Score: 0.69
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Summary Evaluation (Higher is better): 3.602700
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Date of testing: 2024年12月24日 13:15:11
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System Information
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============================================================
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Operating System: Windows (64bit)
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Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
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Python Version: 3.10.15 | packaged by Anaconda, Inc. | (main, Oct 3 2024, 07:22:19) [MSC v.1929 64 bit (AMD64)]
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============================================================
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Starting benchmark...
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Benchmark Summary
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============================================================
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Matrix Multiplication Results:
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Size 200x200:
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Median time: 1.347311 seconds
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Operations/second: 5,936,112.50
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Coefficient of variation: 0.48%
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Performance Score: 0.74
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Recursive Fibonacci Results:
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n=35:
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Time taken: 2.739638 seconds
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Performance Score: 0.37
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Bubble Sort Results:
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List size 5000:
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Time taken: 1.726959 seconds
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Performance Score: 0.58
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Prime Number Generation Results:
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Limit 30000:
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Primes found: 3245
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Time taken: 2.198494 seconds
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Performance Score: 0.45
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Summary Evaluation (Higher is better): 2.141140
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Date of testing: 2024年12月24日 13:16:09
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System Information
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============================================================
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Operating System: Windows (64bit)
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Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
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Python Version: 3.11.10 | packaged by Anaconda, Inc. | (main, Oct 3 2024, 07:22:26) [MSC v.1929 64 bit (AMD64)]
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============================================================
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Starting benchmark...
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Benchmark Summary
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============================================================
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Matrix Multiplication Results:
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Size 200x200:
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Median time: 0.648781 seconds
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Operations/second: 12,285,780.78
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Coefficient of variation: 1.61%
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Performance Score: 1.54
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Recursive Fibonacci Results:
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n=35:
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Time taken: 1.333887 seconds
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Performance Score: 0.75
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Bubble Sort Results:
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List size 5000:
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Time taken: 1.114506 seconds
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Performance Score: 0.90
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Prime Number Generation Results:
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Limit 30000:
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Primes found: 3245
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Time taken: 1.904991 seconds
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Performance Score: 0.52
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Summary Evaluation (Higher is better): 3.713235
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Date of testing: 2024年12月24日 13:16:42
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System Information
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============================================================
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Operating System: Windows (64bit)
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Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
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Python Version: 3.12.7 | packaged by Anaconda, Inc. | (main, Oct 4 2024, 13:17:27) [MSC v.1929 64 bit (AMD64)]
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============================================================
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Starting benchmark...
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Benchmark Summary
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============================================================
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Matrix Multiplication Results:
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Size 200x200:
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Median time: 0.672228 seconds
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Operations/second: 11,857,108.91
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Coefficient of variation: 1.30%
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Performance Score: 1.49
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Recursive Fibonacci Results:
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n=35:
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Time taken: 1.409475 seconds
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Performance Score: 0.71
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Bubble Sort Results:
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List size 5000:
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Time taken: 1.160527 seconds
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Performance Score: 0.86
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Prime Number Generation Results:
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Limit 30000:
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Primes found: 3245
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Time taken: 2.361665 seconds
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Performance Score: 0.42
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Summary Evaluation (Higher is better): 3.482182
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Date of testing: 2024年12月24日 13:17:12
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System Information
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============================================================
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Operating System: Windows (64bit)
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Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
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Python Version: 3.13.0 | packaged by Anaconda, Inc. | (main, Oct 7 2024, 21:21:52) [MSC v.1929 64 bit (AMD64)]
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============================================================
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Starting benchmark...
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Benchmark Summary
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============================================================
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Matrix Multiplication Results:
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Size 200x200:
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Median time: 0.655199 seconds
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Operations/second: 12,176,030.33
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Coefficient of variation: 0.81%
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Performance Score: 1.53
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Recursive Fibonacci Results:
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n=35:
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Time taken: 1.516788 seconds
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Performance Score: 0.66
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Bubble Sort Results:
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List size 5000:
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Time taken: 1.095674 seconds
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Performance Score: 0.91
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Prime Number Generation Results:
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Limit 30000:
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Primes found: 3245
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Time taken: 2.412412 seconds
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Performance Score: 0.41
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Summary Evaluation (Higher is better): 3.512745
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---
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Note: To improve your Python code performance by 60-100%, you can utilize the
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"Python Binary Optimization Compiler Script" from Alpha Beta Network (alphabetanet.com)
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Lines changed: 82 additions & 0 deletions
Original file line numberDiff line numberDiff line change
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Date of testing: 2024年12月24日 13:16:09
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System Information
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============================================================
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Operating System: Windows (64bit)
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Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
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Python Version: 3.11.10 | packaged by Anaconda, Inc. | (main, Oct 3 2024, 07:22:26) [MSC v.1929 64 bit (AMD64)]
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============================================================
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Starting benchmark...
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Benchmark Summary
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============================================================
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Matrix Multiplication Results:
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Size 200x200:
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Median time: 0.648781 seconds
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Operations/second: 12,285,780.78
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Coefficient of variation: 1.61%
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Performance Score: 1.54
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Recursive Fibonacci Results:
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n=35:
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Time taken: 1.333887 seconds
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Performance Score: 0.75
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Bubble Sort Results:
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List size 5000:
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Time taken: 1.114506 seconds
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Performance Score: 0.90
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Prime Number Generation Results:
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Limit 30000:
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Primes found: 3245
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Time taken: 1.904991 seconds
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Performance Score: 0.52
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Summary Evaluation (Higher is better): 3.713235
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Date of testing: 2024年12月24日 13:21:35
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System Information
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============================================================
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Operating System: Windows (64bit)
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Processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
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Python Version: 3.11.9 (tags/v3.11.9:de54cf5, Apr 2 2024, 10:12:12) [MSC v.1938 64 bit (AMD64)]
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============================================================
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Starting benchmark...
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Benchmark Summary
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============================================================
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Matrix Multiplication Results:
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Size 200x200:
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Median time: 0.601605 seconds
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Operations/second: 13,278,535.62
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Coefficient of variation: 1.12%
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Performance Score: 1.66
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Recursive Fibonacci Results:
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n=35:
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Time taken: 1.215701 seconds
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Performance Score: 0.82
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Bubble Sort Results:
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List size 5000:
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Time taken: 0.903095 seconds
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Performance Score: 1.11
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Prime Number Generation Results:
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Limit 30000:
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Primes found: 3245
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Time taken: 1.788207 seconds
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Performance Score: 0.56
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Summary Evaluation (Higher is better): 4.151314
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---
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Note: To improve your Python code performance by 60-100%, you can utilize the
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"Python Binary Optimization Compiler Script" from Alpha Beta Network (alphabetanet.com)
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