⚡️ Speed up method EntityV3DatastoreSpec.additional_properties_type by 18%#13
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The optimized code achieves an 18% speedup through two key micro-optimizations in the `__init__` method: **1. Local variable caching for `unset`**: The optimization stores `unset` as a local variable `_unset` to avoid repeated global lookups. In Python, local variable access is significantly faster than global/module-level lookups since locals are stored in an array and accessed by index rather than through dictionary lookups. **2. Batched dictionary updates**: Instead of performing individual `kwargs["key"] = value` assignments (which requires separate dictionary hash lookups and insertions), the code collects all assignments in a temporary `argmap` dictionary and performs a single `kwargs.update(argmap)` operation. This reduces the number of dictionary operations from potentially 4 separate insertions to 1 batch update. The optimizations are most effective when multiple parameters are provided (as shown in the test cases), since: - The `unset` lookup savings multiply with each parameter check - The batched update becomes more beneficial with more parameters being set - The single conditional check `if component_of is not _unset or ...` can short-circuit early if no parameters are set These micro-optimizations preserve all original behavior while reducing the overhead of object initialization, which is particularly valuable for data models that may be instantiated frequently in API client scenarios.
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📄 18% (0.18x) speedup for
EntityV3DatastoreSpec.additional_properties_typeinsrc/datadog_api_client/v2/model/entity_v3_datastore_spec.py⏱️ Runtime :
2.35 microseconds→1.98 microsecondss(best of30runs)📝 Explanation and details
The optimized code achieves an 18% speedup through two key micro-optimizations in the
__init__method:1. Local variable caching for
unset: The optimization storesunsetas a local variable_unsetto avoid repeated global lookups. In Python, local variable access is significantly faster than global/module-level lookups since locals are stored in an array and accessed by index rather than through dictionary lookups.2. Batched dictionary updates: Instead of performing individual
kwargs["key"] = valueassignments (which requires separate dictionary hash lookups and insertions), the code collects all assignments in a temporaryargmapdictionary and performs a singlekwargs.update(argmap)operation. This reduces the number of dictionary operations from potentially 4 separate insertions to 1 batch update.The optimizations are most effective when multiple parameters are provided (as shown in the test cases), since:
unsetlookup savings multiply with each parameter checkif component_of is not _unset or ...can short-circuit early if no parameters are setThese micro-optimizations preserve all original behavior while reducing the overhead of object initialization, which is particularly valuable for data models that may be instantiated frequently in API client scenarios.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-EntityV3DatastoreSpec.additional_properties_type-mgcajzdwand push.