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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.
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codeflash/context/unused_definition_remover.py

Lines changed: 21 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -15,7 +15,7 @@
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if TYPE_CHECKING:
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from codeflash.discovery.functions_to_optimize import FunctionToOptimize
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from codeflash.models.models import CodeOptimizationContext, FunctionParent, FunctionSource
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from codeflash.models.models import CodeOptimizationContext, FunctionSource
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@dataclass
@@ -615,23 +615,29 @@ def _analyze_imports_in_optimized_code(
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def find_target_node(
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root: ast.AST, function_to_optimize: FunctionToOptimize
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) -> Optional[ast.FunctionDef | ast.AsyncFunctionDef]:
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def _find(node: ast.AST, parents: list[FunctionParent]) -> Optional[ast.FunctionDef | ast.AsyncFunctionDef]:
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if not parents:
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for child in getattr(node, "body", []):
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if (
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isinstance(child, (ast.FunctionDef, ast.AsyncFunctionDef))
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and child.name == function_to_optimize.function_name
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):
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return child
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parents = function_to_optimize.parents
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node = root
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for parent in parents:
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# Fast loop: directly look for the matching ClassDef in node.body
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body = getattr(node, "body", None)
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if not body:
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return None
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parent = parents[0]
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for child in getattr(node, "body", []):
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for child in body:
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if isinstance(child, ast.ClassDef) and child.name == parent.name:
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return _find(child, parents[1:])
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return None
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node = child
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break
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else:
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return None
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return _find(root, function_to_optimize.parents)
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# Now node is either the root or the target parent class; look for function
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body = getattr(node, "body", None)
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if not body:
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return None
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target_name = function_to_optimize.function_name
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for child in body:
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if isinstance(child, (ast.FunctionDef, ast.AsyncFunctionDef)) and child.name == target_name:
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return child
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return None
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def detect_unused_helper_functions(

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