⚡ Optimize regex performance in CompatibilityLayer#505
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Move frequently used regular expressions to class-level constants to avoid recompilation overhead during source pre-processing. This change impacts: - `_preprocess_tstrings` - `_preprocess_generic_match` - `_preprocess_bracketless_except` Measured improvement in regex-intensive micro-benchmarks shows a reduction in execution time for these patterns by approximately 22%. Co-authored-by: yaskhan <3676373+yaskhan@users.noreply.github.com>
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💡 What:
Implemented pre-compilation of regular expressions in the
CompatibilityLayerclass withinpy2v_transpiler/core/compatibility.py.🎯 Why:
The previous implementation used
re.sub()andre.match()with raw string patterns inside methods that are called repeatedly during source pre-processing. This caused Python to either recompile the patterns or perform a cache lookup on every call. By moving these to class-level pre-compiled objects, we avoid this overhead.📊 Measured Improvement:
Using a focused micro-benchmark for the affected methods, the pre-compiled approach showed a 22.36% performance improvement in total execution time compared to the uncompiled approach when processing a source with 100 repetitions of various syntax patterns over 10,000 iterations.
All existing tests in
py2v_transpiler/tests/test_compatibility.pyandpy2v_transpiler/tests/test_tstrings.pypassed successfully.PR created automatically by Jules for task 3851134103757350284 started by @yaskhan