⚡️ Speed up function templates_path by 1,265%#2
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The optimization implements **function-level caching** to avoid repeated Path object construction. Instead of creating a new `Path(ROOT_DIR) / "static" / "templates"` object on every call, the optimized version: 1. **Caches the Path object** as a function attribute (`_cached_path`) after the first call 2. **Reuses the cached instance** on subsequent calls, simply returning the pre-constructed Path This eliminates the overhead of: - Path object instantiation (constructor calls) - String concatenation operations for path joining - Internal pathlib validation and normalization The line profiler shows the dramatic impact: the original version spent 833,913ns total across 23 calls (36,257ns per call), while the optimized version spent only 81,330ns total with most time on the first call (39,470ns) and subsequent calls taking just ~611ns each. This optimization is particularly effective for **utility functions that return static paths** - functions likely to be called multiple times but always return the same result. The test results show consistent 10-16x speedups across all scenarios, from basic usage to edge cases with deep nesting and large project structures, making it beneficial for any codebase that frequently accesses template paths.
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📄 1,265% (12.65x) speedup for
templates_pathinhiggsfield/internal/util.py⏱️ Runtime :
205 microseconds→15.0 microseconds(best of78runs)📝 Explanation and details
The optimization implements function-level caching to avoid repeated Path object construction. Instead of creating a new
Path(ROOT_DIR) / "static" / "templates"object on every call, the optimized version:_cached_path) after the first callThis eliminates the overhead of:
The line profiler shows the dramatic impact: the original version spent 833,913ns total across 23 calls (36,257ns per call), while the optimized version spent only 81,330ns total with most time on the first call (39,470ns) and subsequent calls taking just ~611ns each.
This optimization is particularly effective for utility functions that return static paths - functions likely to be called multiple times but always return the same result. The test results show consistent 10-16x speedups across all scenarios, from basic usage to edge cases with deep nesting and large project structures, making it beneficial for any codebase that frequently accesses template paths.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
🔎 Concolic Coverage Tests and Runtime
codeflash_concolic_k2mznyx6/tmpzxxsp4c8/test_concolic_coverage.py::test_templates_pathTo edit these changes
git checkout codeflash/optimize-templates_path-mglknz07and push.