⚡️ Speed up method AudioTranscriptionRequest.serialize_model by 18%
#108
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📄 18% (0.18x) speedup for
AudioTranscriptionRequest.serialize_modelinsrc/mistralai/models/audiotranscriptionrequest.py⏱️ Runtime :
1.87 milliseconds→1.58 milliseconds(best of93runs)📝 Explanation and details
The optimized code achieves an 18% speedup through several algorithmic and memory efficiency improvements:
Key Optimizations:
O(1) membership testing: Converted
optional_fieldsandnullable_fieldsfrom lists to sets, eliminating O(n) list scans in favor of O(1) hash lookups during thek in optional_fieldschecks in the loop.Precomputed intersection: Created
optional_nullable_fields = optional_fields_set & nullable_fields_setoutside the loop to avoid repeatedly computingk in optional_fields and k in nullable_fieldsfor each field.Combined get/pop operation: Replaced separate
serialized.get(k)andserialized.pop(k, None)calls with a singleserialized.pop(k, None), reducing dictionary operations from 2 to 1 per iteration.Eliminated set allocation: Changed
self.__pydantic_fields_set__.intersection({n})to direct membership testn in fields_set, avoiding temporary set creation for each field check.Reduced attribute lookups: Cached
self.__pydantic_fields_set__andtype(self).model_fieldsas local variables to avoid repeated attribute access.Performance Impact:
The test results show consistent 11-23% improvements across various scenarios, with the best gains (20-23%) occurring in cases with multiple optional fields where the set-based lookups provide maximum benefit. The optimization is particularly effective for models with many fields, as evidenced by the
test_many_instances_serializationshowing 20.2% improvement when processing 100 instances.✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-AudioTranscriptionRequest.serialize_model-mh32b16vand push.