Artemis: Refactor: Optimize DoubleForLoop class methods for performance#6
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SamSSLF wants to merge 1 commit into
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Artemis: Refactor: Optimize DoubleForLoop class methods for performance#6SamSSLF wants to merge 1 commit into
SamSSLF wants to merge 1 commit into
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This commit significantly improves the performance of the
DoubleForLoopclass by replacing inefficient nested loops with optimized algorithms and mathematical formulas in thesum_square,sum_triangle,count_pairs,count_duplicates, andsum_matrixmethods. The changes reduce time complexity, resulting in substantial performance gains, especially for large inputs. For example,count_pairsis optimized from O(n^2) to O(n).Detailed Score Information
Score Details
This section contains detailed information about the performance scores for top 5 scored suggestions.
Top Performing Changes
1. src/llm_benchmark/control/double.py:1-93 - Mean Improvement: -0.33, Mean Original Score: 3.77
🟢 Algorithm Efficiency (Score: 3.00; Change: +2.00): Some algorithms, like
sum_matrix, have been optimized for time complexity, while others, such ascount_pairsandcount_duplicates, still contain nested loops that could potentially be optimized.🔴 Memory Optimization (Score: 1.00; Change: -4.00): The code doesn't show significant efforts to reduce memory usage. There are opportunities to optimize memory, particularly in
count_pairswhere a single loop could be used.