⚡️ Speed up method CodeCommitProvider._get_language_percentages by 68%#47
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The optimization achieves a 67% speedup by replacing Python's `Counter` class with manual dictionary accumulation and pre-computing the division factor. **Key optimizations applied:** 1. **Eliminated Counter overhead**: Replaced `Counter(extensions)` with a simple dictionary and manual counting using `counts.get(ext, 0) + 1`. This avoids the overhead of Counter's constructor and internal optimizations that aren't beneficial for small datasets. 2. **Hoisted division operation**: Pre-computed `inv_total = 100 / total_files` once instead of performing division for each language in the dict comprehension. This transforms `count / total_files * 100` into `count * inv_total`, reducing repeated division operations. 3. **Separated dict construction**: Replaced the dict comprehension with explicit loops, which eliminates the overhead of comprehension setup and allows for more predictable memory access patterns. **Why this works:** - Counter is optimized for large datasets and complex counting scenarios, but introduces unnecessary overhead for simple extension counting - Division is more expensive than multiplication in Python, so pre-computing the inverse factor provides measurable gains - The explicit loop approach has better cache locality and fewer function call overheads compared to the comprehension + Counter combination **Performance characteristics:** The line profiler shows the Counter operation took 61.2% of the original runtime (22,760ns), while the manual counting approach distributes the work more efficiently across multiple lighter operations. This optimization is particularly effective for small to medium-sized file lists (typical PR scenarios) where Counter's optimizations don't justify its setup costs.
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📄 68% (0.68x) speedup for
CodeCommitProvider._get_language_percentagesinpr_agent/git_providers/codecommit_provider.py⏱️ Runtime :
8.98 microseconds→5.35 microseconds(best of80runs)📝 Explanation and details
The optimization achieves a 67% speedup by replacing Python's
Counterclass with manual dictionary accumulation and pre-computing the division factor.Key optimizations applied:
Eliminated Counter overhead: Replaced
Counter(extensions)with a simple dictionary and manual counting usingcounts.get(ext, 0) + 1. This avoids the overhead of Counter's constructor and internal optimizations that aren't beneficial for small datasets.Hoisted division operation: Pre-computed
inv_total = 100 / total_filesonce instead of performing division for each language in the dict comprehension. This transformscount / total_files * 100intocount * inv_total, reducing repeated division operations.Separated dict construction: Replaced the dict comprehension with explicit loops, which eliminates the overhead of comprehension setup and allows for more predictable memory access patterns.
Why this works:
Performance characteristics:
The line profiler shows the Counter operation took 61.2% of the original runtime (22,760ns), while the manual counting approach distributes the work more efficiently across multiple lighter operations. This optimization is particularly effective for small to medium-sized file lists (typical PR scenarios) where Counter's optimizations don't justify its setup costs.
✅ Correctness verification report:
⚙️ Existing Unit Tests and Runtime
unittest/test_codecommit_provider.py::TestCodeCommitProvider.test_get_language_percentagesTo edit these changes
git checkout codeflash/optimize-CodeCommitProvider._get_language_percentages-mgzjfe4qand push.