⚡️ Speed up method PropertyValueList.remove by 5%#164
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The optimized code applies two key performance improvements to the `PropertyValueList` class: **1. Memory Optimization with `__slots__`** Adding `__slots__ = ()` prevents Python from creating a `__dict__` for each instance, reducing memory overhead. Since `PropertyValueList` inherits from both `PropertyValueContainer` and `list[T]`, and doesn't define additional instance attributes, this optimization saves memory without affecting functionality. This is particularly beneficial for container classes that may be instantiated frequently. **2. Direct Method Call Optimization** Changed `super().remove(obj)` to `list.remove(self, obj)` to bypass Python's Method Resolution Order (MRO) lookup. Instead of traversing the inheritance chain to find the correct `remove` method, this directly calls the built-in list's `remove` method, eliminating method resolution overhead. **Performance Impact** The test results show consistent improvements across most scenarios: - Small lists: 3-9% faster in typical cases (e.g., removing elements, handling duplicates) - Large lists: 1-3% faster for operations like removing from middle/end positions - Best performance gains seen in scenarios with custom equality objects (8%+) and repeated operations (13% for removing all elements sequentially) **Why This Matters** While the 5% overall speedup may seem modest, `PropertyValueList` is a foundational container class in Bokeh's property system. Any performance gain here multiplies across the many property operations throughout the framework. The memory savings from `__slots__` also reduce allocation pressure, which can improve performance in memory-intensive applications with many Bokeh objects. The optimizations preserve all existing behavior while providing measurable performance benefits across diverse usage patterns.
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📄 5% (0.05x) speedup for
PropertyValueList.removeinsrc/bokeh/core/property/wrappers.py⏱️ Runtime :
239 microseconds→227 microseconds(best of176runs)📝 Explanation and details
The optimized code applies two key performance improvements to the
PropertyValueListclass:1. Memory Optimization with
__slots__Adding
__slots__ = ()prevents Python from creating a__dict__for each instance, reducing memory overhead. SincePropertyValueListinherits from bothPropertyValueContainerandlist[T], and doesn't define additional instance attributes, this optimization saves memory without affecting functionality. This is particularly beneficial for container classes that may be instantiated frequently.2. Direct Method Call Optimization
Changed
super().remove(obj)tolist.remove(self, obj)to bypass Python's Method Resolution Order (MRO) lookup. Instead of traversing the inheritance chain to find the correctremovemethod, this directly calls the built-in list'sremovemethod, eliminating method resolution overhead.Performance Impact
The test results show consistent improvements across most scenarios:
Why This Matters
While the 5% overall speedup may seem modest,
PropertyValueListis a foundational container class in Bokeh's property system. Any performance gain here multiplies across the many property operations throughout the framework. The memory savings from__slots__also reduce allocation pressure, which can improve performance in memory-intensive applications with many Bokeh objects.The optimizations preserve all existing behavior while providing measurable performance benefits across diverse usage patterns.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-PropertyValueList.remove-mhwyu4hkand push.