⚡️ Speed up method InjectPerfOnly.find_and_update_line_node by 24% in PR #769 (clean-async-branch)#770
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The optimization achieves a **24% speedup** by targeting two key performance bottlenecks identified in the line profiler results: **1. Optimized `node_in_call_position` function (~22% faster):** - **Reduced attribute lookups**: Pre-fetches `lineno`, `col_offset`, `end_lineno`, and `end_col_offset` once using `getattr()` instead of repeatedly calling `hasattr()` and accessing attributes in the loop - **Early exit optimization**: Returns `False` immediately if not an `ast.Call` node, avoiding unnecessary work - **Simplified conditional logic**: Combines nested checks into a single block to reduce Python opcode jumps **2. Optimized `find_and_update_line_node` method (~18% faster):** - **Cached attribute access**: Stores frequently accessed attributes (`self.function_object.function_name`, `self.mode`, etc.) in local variables to avoid repeated object attribute lookups - **Efficient list construction**: Builds the `args` list incrementally using `extend()` instead of creating multiple intermediate lists with unpacking operators - **Early termination**: Breaks immediately after finding and modifying the matching call node, avoiding unnecessary continuation of `ast.walk()` **Performance gains are most significant for:** - Large-scale test cases with many function calls (up to 38% faster for 500+ calls) - Mixed workloads with calls and non-calls (25% faster) - Tests with keyword arguments (13% faster) The optimizations maintain identical behavior while reducing CPU-intensive operations like attribute lookups and list operations that dominate the execution time in AST transformation workflows.
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⚡️ This pull request contains optimizations for PR #769
If you approve this dependent PR, these changes will be merged into the original PR branch
clean-async-branch.📄 24% (0.24x) speedup for
InjectPerfOnly.find_and_update_line_nodeincodeflash/code_utils/instrument_existing_tests.py⏱️ Runtime :
21.6 milliseconds→17.4 milliseconds(best of49runs)📝 Explanation and details
The optimization achieves a 24% speedup by targeting two key performance bottlenecks identified in the line profiler results:
1. Optimized
node_in_call_positionfunction (~22% faster):lineno,col_offset,end_lineno, andend_col_offsetonce usinggetattr()instead of repeatedly callinghasattr()and accessing attributes in the loopFalseimmediately if not anast.Callnode, avoiding unnecessary work2. Optimized
find_and_update_line_nodemethod (~18% faster):self.function_object.function_name,self.mode, etc.) in local variables to avoid repeated object attribute lookupsargslist incrementally usingextend()instead of creating multiple intermediate lists with unpacking operatorsast.walk()Performance gains are most significant for:
The optimizations maintain identical behavior while reducing CPU-intensive operations like attribute lookups and list operations that dominate the execution time in AST transformation workflows.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-pr769-2025-09-26T22.57.31and push.