⚡️ Speed up method EnvironmentReader.use by 193%#73
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codeflash-ai[bot] wants to merge 1 commit intomainfrom
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⚡️ Speed up method EnvironmentReader.use by 193%#73codeflash-ai[bot] wants to merge 1 commit intomainfrom
EnvironmentReader.use by 193%#73codeflash-ai[bot] wants to merge 1 commit intomainfrom
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The optimization achieves a **193% speedup** by eliminating expensive closure creation and function definition overhead on every call to `use()`. **Key Change:** The context manager function was moved from being defined inside the `use()` method to module scope as `_config_context()`, taking the stack and value as parameters. **Why This Is Faster:** - **Original code:** Every call to `use()` creates a new closure (`config_context`) with access to `self`, requiring Python to allocate memory for the closure object and set up variable bindings. The line profiler shows 73.5% of time spent in function definition. - **Optimized code:** Uses a pre-defined module-level function, eliminating closure creation overhead entirely. The stack is passed as a parameter instead of being captured. **Performance Impact by Test Type:** - **Basic operations** (single context usage): ~3x faster due to eliminated closure overhead - **Nested contexts**: Even better gains since the optimization compounds with multiple calls - **Large-scale tests** (1000+ iterations): Maximum benefit as closure creation costs accumulate This optimization is particularly effective for high-frequency usage patterns where `use()` is called repeatedly, as each call no longer pays the cost of creating and destroying closure objects.
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📄 193% (1.93x) speedup for
EnvironmentReader.useingraphrag/config/environment_reader.py⏱️ Runtime :
732 microseconds→250 microseconds(best of292runs)📝 Explanation and details
The optimization achieves a 193% speedup by eliminating expensive closure creation and function definition overhead on every call to
use().Key Change: The context manager function was moved from being defined inside the
use()method to module scope as_config_context(), taking the stack and value as parameters.Why This Is Faster:
use()creates a new closure (config_context) with access toself, requiring Python to allocate memory for the closure object and set up variable bindings. The line profiler shows 73.5% of time spent in function definition.Performance Impact by Test Type:
This optimization is particularly effective for high-frequency usage patterns where
use()is called repeatedly, as each call no longer pays the cost of creating and destroying closure objects.✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-EnvironmentReader.use-mgltwy8mand push.