⚡️ Speed up method CodeStringsMarkdown.file_to_path by 53% in PR #553 (feat/markdown-read-writable-context)
#610
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
⚡️ This pull request contains optimizations for PR #553
If you approve this dependent PR, these changes will be merged into the original PR branch
feat/markdown-read-writable-context.📄 53% (0.53x) speedup for
CodeStringsMarkdown.file_to_pathincodeflash/models/models.py⏱️ Runtime :
22.7 microseconds→14.8 microseconds(best of33runs)📝 Explanation and details
The optimization achieves a 52% speedup by eliminating repeated attribute lookups through a simple but effective change: storing
self._cachein a local variablecacheat the beginning of the method.Key optimization:
self._cachemultiple times (3-4 times in the original), the optimized version accesses it once and stores it in a local variable. In Python, local variable access is significantly faster than attribute access since it avoids the overhead of attribute resolution through the object's__dict__.Performance impact by operation:
cache.get("file_to_path")call becomes ~3x faster (from 14,423ns to 1,079ns per hit)Best suited for:
Based on the test results, this optimization is particularly effective for scenarios with frequent cache lookups, showing 48-58% improvements in basic usage patterns. The optimization scales well regardless of the
code_stringscontent size since the bottleneck was in the cache access pattern, not the dictionary comprehension itself.This is a classic Python micro-optimization that leverages the performance difference between local variables (stored in a fast array) versus instance attributes (requiring dictionary lookups).
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-pr553-2025-08-05T00.25.17and push.