⚡️ Speed up method CacheFactory.get_cache_types by 27%#69
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⚡️ Speed up method CacheFactory.get_cache_types by 27%#69codeflash-ai[bot] wants to merge 1 commit intomainfrom
CacheFactory.get_cache_types by 27%#69codeflash-ai[bot] wants to merge 1 commit intomainfrom
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The optimization replaces `list(cls._registry.keys())` with `[*cls._registry]` (unpacking syntax). This change eliminates the intermediate `dict_keys` object creation step that occurs with `.keys()`. When using unpacking syntax `[*dict]`, Python directly iterates over the dictionary's keys without creating the intermediate view object, resulting in fewer function calls and object allocations. The 26% speedup comes from avoiding the overhead of: 1. Calling the `.keys()` method 2. Creating a `dict_keys` view object 3. Passing that view to the `list()` constructor The unpacking approach directly constructs the list from the dictionary's key iteration, which is more efficient in CPython's implementation. Both approaches preserve the same iteration order (insertion order in modern Python dictionaries) and produce identical results. The test results show consistent performance gains across different scenarios (17.9-26.7% faster), indicating this optimization is particularly effective for small to medium-sized registries, which is typical for factory pattern implementations like cache type registration.
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📄 27% (0.27x) speedup for
CacheFactory.get_cache_typesingraphrag/cache/factory.py⏱️ Runtime :
4.49 microseconds→3.54 microseconds(best of78runs)📝 Explanation and details
The optimization replaces
list(cls._registry.keys())with[*cls._registry](unpacking syntax). This change eliminates the intermediatedict_keysobject creation step that occurs with.keys(). When using unpacking syntax[*dict], Python directly iterates over the dictionary's keys without creating the intermediate view object, resulting in fewer function calls and object allocations.The 26% speedup comes from avoiding the overhead of:
.keys()methoddict_keysview objectlist()constructorThe unpacking approach directly constructs the list from the dictionary's key iteration, which is more efficient in CPython's implementation. Both approaches preserve the same iteration order (insertion order in modern Python dictionaries) and produce identical results.
The test results show consistent performance gains across different scenarios (17.9-26.7% faster), indicating this optimization is particularly effective for small to medium-sized registries, which is typical for factory pattern implementations like cache type registration.
✅ Correctness verification report:
⚙️ Existing Unit Tests and Runtime
integration/cache/test_factory.py::test_get_cache_typesintegration/cache/test_factory.py::test_register_and_create_custom_cacheintegration/cache/test_factory.py::test_register_class_directly_works🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-CacheFactory.get_cache_types-mglq41veand push.