⚡️ Speed up function templates_path by 2,654%#9
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The optimized code implements **memoization** using a global cache variable `_templates_path` that stores the computed Path object after the first call. This eliminates the expensive Path construction on subsequent calls. **Key optimization:** - **Caching**: The Path object is computed once and stored in `_templates_path`, avoiding repeated `Path(ROOT_DIR) / "static" / "templates"` operations - **Lazy initialization**: The path is only computed when first needed, not at module import time **Why this creates a speedup:** - Path operations involve string manipulation and filesystem-related overhead that's expensive to repeat - The original code reconstructs the same Path object every time (33.4μs per call) - The optimized version only does this work once (40μs), then returns the cached object (0.46μs per subsequent call) **Performance characteristics:** - **Single calls**: Minimal improvement since initialization still occurs - **Multiple calls**: Dramatic speedup (2000-3000%) as seen in the test results, where subsequent calls are ~30x faster - **Best for**: Applications that call `templates_path()` multiple times, which is common for template-based systems The 26x overall speedup comes from the test pattern calling the function multiple times, where all calls after the first benefit from the cached result.
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📄 2,654% (26.54x) speedup for
templates_pathinhiggsfield/internal/util.py⏱️ Runtime :
76.9 microseconds→2.79 microseconds(best of70runs)📝 Explanation and details
The optimized code implements memoization using a global cache variable
_templates_paththat stores the computed Path object after the first call. This eliminates the expensive Path construction on subsequent calls.Key optimization:
_templates_path, avoiding repeatedPath(ROOT_DIR) / "static" / "templates"operationsWhy this creates a speedup:
Performance characteristics:
templates_path()multiple times, which is common for template-based systemsThe 26x overall speedup comes from the test pattern calling the function multiple times, where all calls after the first benefit from the cached result.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
🔎 Concolic Coverage Tests and Runtime
codeflash_concolic_zy687g4h/tmp0sel4elp/test_concolic_coverage.py::test_templates_pathTo edit these changes
git checkout codeflash/optimize-templates_path-mgmy1m9pand push.