⚡️ Speed up method CommentMapper.visit_FunctionDef
by 10% in PR #687 (granular-async-instrumentation
)
#731
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⚡️ This pull request contains optimizations for PR #687
If you approve this dependent PR, these changes will be merged into the original PR branch
granular-async-instrumentation
.📄 10% (0.10x) speedup for
CommentMapper.visit_FunctionDef
incodeflash/code_utils/edit_generated_tests.py
⏱️ Runtime :
1.31 milliseconds
→1.19 milliseconds
(best of153
runs)📝 Explanation and details
The optimized code achieves a 10% speedup through several targeted micro-optimizations that reduce overhead in the tight loops:
Key optimizations:
Local variable caching for frequent lookups: Storing
self.original_runtimes
andself.optimized_runtimes
in local variables (original_runtimes
,optimized_runtimes
) eliminates repeated attribute lookups in the inner loops, which is expensive due to Python's method resolution.Eliminated unnecessary list allocations: The original code created
nodes_to_check = [compound_line_node]
and extended it withgetattr(compound_line_node, "body", [])
on every iteration. The optimized version useshasattr()
to check for a body attribute first, then iterates directly overcompound_line_node.body
when present, avoiding list creation and extension.Reduced redundant attribute access: Added
nbody = node.body
andline_body = line_node.body
to cache commonly accessed attributes, reducing repeated lookups.Streamlined f-string usage: Consistent use of f-strings (
f"{i}_{j}"
instead ofstr(i) + "_" + str(j)
) provides marginal performance improvements for string concatenation.The optimizations are most effective for large-scale test cases - the annotated tests show the biggest improvements (13.4% faster) occur with functions containing many compound statements (50 for-loops with 10 statements each), where the eliminated allocations and attribute lookups compound significantly. Simple functions show minimal or slight performance regression due to the overhead of additional local variable assignments, but complex functions with nested loops see substantial gains.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-pr687-2025-09-13T00.38.14
and push.