Commit 1feedb6
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Optimize find_target_node
The optimized version eliminates recursive function calls by replacing the recursive `_find` helper with an iterative approach. This provides significant performance benefits:
**Key Optimizations:**
1. **Removed Recursion Overhead**: The original code used a recursive helper function `_find` that created new stack frames for each parent traversal. The optimized version uses a simple iterative loop that traverses parents sequentially without function call overhead.
2. **Eliminated Function Creation**: The original code defined the `_find` function on every call to `find_target_node`. The optimized version removes this repeated function definition entirely.
3. **Early Exit with for-else**: The optimized code uses Python's `for-else` construct to immediately return `None` when a parent class isn't found, avoiding unnecessary continued searching.
4. **Reduced Attribute Access**: By caching `function_to_optimize.function_name` in a local variable `target_name` and reusing `body` variables, the code reduces repeated attribute lookups.
**Performance Impact by Test Case:**
- **Simple cases** (top-level functions, basic class methods): 23-62% faster due to eliminated recursion overhead
- **Nested class scenarios**: 45-84% faster, with deeper nesting showing greater improvements as recursion elimination has more impact
- **Large-scale tests**: 12-22% faster, showing consistent benefits even with many nodes to traverse
- **Edge cases** (empty modules, non-existent classes): 52-76% faster due to more efficient early termination
The optimization is particularly effective for deeply nested class hierarchies where the original recursive approach created multiple stack frames, while the iterative version maintains constant memory usage regardless of nesting depth.1 parent 5cd9024 commit 1feedb6
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