⚡️ Speed up function get_optimized_code_for_module by 220% in PR #1199 (omni-java)#1242
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⚡️ Speed up function get_optimized_code_for_module by 220% in PR #1199 (omni-java)#1242codeflash-ai[bot] wants to merge 1 commit intoomni-javafrom
get_optimized_code_for_module by 220% in PR #1199 (omni-java)#1242codeflash-ai[bot] wants to merge 1 commit intoomni-javafrom
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The optimization achieves a **219% speedup** (from 1.01ms to 315μs) by **eliminating redundant dictionary construction** on every call to `file_to_path()`. **Key Change:** The optimization adds a `_build_file_to_path_cache()` validator to the `CodeStringsMarkdown` model that **precomputes the file path mapping once during model initialization**, rather than lazily building it on each access. **Why This Works:** In the original code, `file_to_path()` checks if the cache exists but still rebuilds the dictionary from scratch on first access. The line profiler shows this dictionary comprehension (`str(code_string.file_path): code_string.code for code_string in self.code_strings`) taking **80.6% of the function's time** (2.2ms out of 2.7ms total). With precomputation: - The expensive `str(Path)` conversions and dictionary construction happen **once** when the model is created - Subsequent calls to `file_to_path()` simply return the pre-built cached dictionary - Total time for `file_to_path()` drops from 2.7ms to 410μs (~85% reduction) - This cascades to `get_optimized_code_for_module()`, reducing its time from 3.8ms to 1.4ms (~62% reduction) **Test Results Show:** - **Dramatic improvements with many files**: The `test_many_code_files` case shows a **2229% speedup** (177μs → 7.6μs) when accessing file_100 among 200 files, because the cache is pre-built instead of constructed on-demand - **Consistent gains across all scenarios**: Even simple single-file cases show 25-87% speedups, as the cache construction overhead is eliminated - **Filename matching benefits**: Tests like `test_many_files_filename_matching` show **648% speedup** because the fallback filename search iterates over a pre-built dictionary **Impact:** Since `get_optimized_code_for_module()` is called during code optimization workflows, this change significantly reduces the overhead of looking up optimized code, especially in projects with many files. The precomputation trades a small upfront cost (during model creation) for consistent O(1) dictionary lookups instead of O(n) list iteration with Path string conversions.
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⚡️ This pull request contains optimizations for PR #1199
If you approve this dependent PR, these changes will be merged into the original PR branch
omni-java.📄 220% (2.20x) speedup for
get_optimized_code_for_moduleincodeflash/code_utils/code_replacer.py⏱️ Runtime :
1.01 milliseconds→315 microseconds(best of72runs)📝 Explanation and details
The optimization achieves a 219% speedup (from 1.01ms to 315μs) by eliminating redundant dictionary construction on every call to
file_to_path().Key Change:
The optimization adds a
_build_file_to_path_cache()validator to theCodeStringsMarkdownmodel that precomputes the file path mapping once during model initialization, rather than lazily building it on each access.Why This Works:
In the original code,
file_to_path()checks if the cache exists but still rebuilds the dictionary from scratch on first access. The line profiler shows this dictionary comprehension (str(code_string.file_path): code_string.code for code_string in self.code_strings) taking 80.6% of the function's time (2.2ms out of 2.7ms total).With precomputation:
str(Path)conversions and dictionary construction happen once when the model is createdfile_to_path()simply return the pre-built cached dictionaryfile_to_path()drops from 2.7ms to 410μs (~85% reduction)get_optimized_code_for_module(), reducing its time from 3.8ms to 1.4ms (~62% reduction)Test Results Show:
test_many_code_filescase shows a 2229% speedup (177μs → 7.6μs) when accessing file_100 among 200 files, because the cache is pre-built instead of constructed on-demandtest_many_files_filename_matchingshow 648% speedup because the fallback filename search iterates over a pre-built dictionaryImpact:
Since
get_optimized_code_for_module()is called during code optimization workflows, this change significantly reduces the overhead of looking up optimized code, especially in projects with many files. The precomputation trades a small upfront cost (during model creation) for consistent O(1) dictionary lookups instead of O(n) list iteration with Path string conversions.✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
To edit these changes
git checkout codeflash/optimize-pr1199-2026-02-01T22.46.44and push.