⚡️ Speed up function generate_bbdc_table by 42%#49
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codeflash-ai[bot] wants to merge 1 commit intomainfrom
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⚡️ Speed up function generate_bbdc_table by 42%#49codeflash-ai[bot] wants to merge 1 commit intomainfrom
generate_bbdc_table by 42%#49codeflash-ai[bot] wants to merge 1 commit intomainfrom
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The optimized code achieves a **41% speedup** through two key performance improvements:
**1. Precomputing array lengths**: Instead of calling `len(column_arr_1)` and `len(column_arr_2)` on every loop iteration (7,845 times each in the profiler), the optimized version stores these values once as `len1` and `len2`. This eliminates ~15,690 redundant function calls.
**2. List accumulation + join vs string concatenation**: The original code uses `data_rows += f"| {col1} | {col2} |\n"` which creates a new string object on each iteration due to string immutability in Python. The optimized version builds a list with `append()` operations and then uses `''.join()` to create the final string in one operation.
**Performance characteristics by test case**:
- **Small inputs (≤3 rows)**: The optimization shows modest overhead (6-17% slower) due to the additional setup cost of creating the list and precomputing lengths
- **Large inputs (≥500 rows)**: The optimization shines with 39-48% speedups, as the quadratic behavior of string concatenation becomes dominant
The line profiler shows the string concatenation line dropped from 29.8% to 28.6% of total time, while the new `''.join()` operation only takes 0.6% of total time, demonstrating the efficiency gain from avoiding repeated string object creation.
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📄 42% (0.42x) speedup for
generate_bbdc_tableinpr_agent/tools/pr_help_message.py⏱️ Runtime :
897 microseconds→633 microseconds(best of799runs)📝 Explanation and details
The optimized code achieves a 41% speedup through two key performance improvements:
1. Precomputing array lengths: Instead of calling
len(column_arr_1)andlen(column_arr_2)on every loop iteration (7,845 times each in the profiler), the optimized version stores these values once aslen1andlen2. This eliminates ~15,690 redundant function calls.2. List accumulation + join vs string concatenation: The original code uses
data_rows += f"| {col1} | {col2} |\n"which creates a new string object on each iteration due to string immutability in Python. The optimized version builds a list withappend()operations and then uses''.join()to create the final string in one operation.Performance characteristics by test case:
The line profiler shows the string concatenation line dropped from 29.8% to 28.6% of total time, while the new
''.join()operation only takes 0.6% of total time, demonstrating the efficiency gain from avoiding repeated string object creation.✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-generate_bbdc_table-mgzlg8n0and push.