Granular test runtime comment for every codeflash_output assignment #358
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codeflash-ai bot
added a commit
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Jun 21, 2025
… PR #358 (`fix-test-reporting`) Here is an optimized rewrite of your program with a focus on improving performance in the `_is_codeflash_output_target` method. These changes focus on avoiding unnecessary generator creation, reducing function calls, and using faster data structures and comparison strategies. **Key optimizations:** - Use `type(...) is ...` instead of `isinstance()` for frequently called type checks for speed. - Unroll the `any(...)` generator over `target.elts` into an explicit for loop to reduce function call and overhead in the hot path. - Avoid recursive generator creation where possible; use explicit returns. - Avoid `isinstance(..., (a, b))` for hot paths (for small type hierarchies and known types); it's slightly faster to compare types directly. These micro-optimizations especially benefit scenarios with large ASTs or heavy tuple/list unpackings. The function's logic and return value are identical to your original version.
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| def _is_codeflash_output_target(self, target: Union[ast.expr, list]) -> bool: # type: ignore[type-arg] | ||
| """Check if the assignment target is the variable 'codeflash_output'.""" | ||
| if isinstance(target, ast.Name): | ||
| return target.id == "codeflash_output" | ||
| if isinstance(target, (ast.Tuple, ast.List)): | ||
| # Handle tuple/list unpacking: a, codeflash_output, b = values | ||
| return any(self._is_codeflash_output_target(elt) for elt in target.elts) | ||
| if isinstance(target, (ast.Subscript, ast.Attribute)): |
There was a problem hiding this comment.
⚡️Codeflash found 76% (0.76x) speedup for CfoVisitor._is_codeflash_output_target in codeflash/code_utils/edit_generated_tests.py
⏱️ Runtime : 1.33 milliseconds → 757 microseconds (best of 93 runs)
📝 Explanation and details
Here is an optimized rewrite of your program with a focus on improving performance in the `_is_codeflash_output_target` method. These changes focus on avoiding unnecessary generator creation, reducing function calls, and using faster data structures and comparison strategies.Key optimizations:
- Use
type(...) is ...instead ofisinstance()for frequently called type checks for speed. - Unroll the
any(...)generator overtarget.eltsinto an explicit for loop to reduce function call and overhead in the hot path. - Avoid recursive generator creation where possible; use explicit returns.
- Avoid
isinstance(..., (a, b))for hot paths (for small type hierarchies and known types); it's slightly faster to compare types directly.
These micro-optimizations especially benefit scenarios with large ASTs or heavy tuple/list unpackings.
The function's logic and return value are identical to your original version.
✅ Correctness verification report:
| Test | Status |
|---|---|
| ⚙️ Existing Unit Tests | 🔘 None Found |
| 🌀 Generated Regression Tests | ✅ 104 Passed |
| ⏪ Replay Tests | 🔘 None Found |
| 🔎 Concolic Coverage Tests | 🔘 None Found |
| 📊 Tests Coverage | 100.0% |
🌀 Generated Regression Tests and Runtime
from __future__ import annotations
import ast
from typing import Union
# imports
import pytest # used for our unit tests
from codeflash.code_utils.edit_generated_tests import CfoVisitor
# unit tests
# Helper function to parse a string into an AST assignment target node
def parse_assignment_target(expr: str):
"""Parses an assignment target (left-hand side) expression and returns the AST node."""
# We add '= 1' to make it a valid assignment statement
node = ast.parse(f"{expr} = 1").body[0]
# In Python AST, targets is a list; we test each target individually
return node.targets[0]
# 1. Basic Test Cases
def test_simple_name_true():
# Should return True for variable named 'codeflash_output'
visitor = CfoVisitor("")
target = parse_assignment_target("codeflash_output")
codeflash_output = visitor._is_codeflash_output_target(target) # 731ns -> 722ns (1.25% faster)
def test_simple_name_false():
# Should return False for variable not named 'codeflash_output'
visitor = CfoVisitor("")
target = parse_assignment_target("not_codeflash_output")
codeflash_output = visitor._is_codeflash_output_target(target) # 651ns -> 591ns (10.2% faster)
def test_tuple_with_codeflash_output():
# Should return True if 'codeflash_output' is one of the tuple elements
visitor = CfoVisitor("")
target = parse_assignment_target("a, codeflash_output, b")
codeflash_output = visitor._is_codeflash_output_target(target) # 3.09μs -> 1.21μs (155% faster)
def test_tuple_without_codeflash_output():
# Should return False if 'codeflash_output' is not present in tuple
visitor = CfoVisitor("")
target = parse_assignment_target("a, b, c")
codeflash_output = visitor._is_codeflash_output_target(target) # 2.37μs -> 1.23μs (92.7% faster)
def test_list_with_codeflash_output():
# Should return True if 'codeflash_output' is one of the list elements
visitor = CfoVisitor("")
target = parse_assignment_target("[a, codeflash_output, b]")
codeflash_output = visitor._is_codeflash_output_target(target) # 3.02μs -> 1.14μs (165% faster)
def test_list_without_codeflash_output():
# Should return False if 'codeflash_output' is not present in list
visitor = CfoVisitor("")
target = parse_assignment_target("[a, b, c]")
codeflash_output = visitor._is_codeflash_output_target(target) # 2.35μs -> 1.21μs (93.5% faster)
# 2. Edge Test Cases
def test_nested_tuple_with_codeflash_output():
# Should return True if 'codeflash_output' is nested inside a tuple
visitor = CfoVisitor("")
target = parse_assignment_target("a, (b, codeflash_output), c")
codeflash_output = visitor._is_codeflash_output_target(target) # 3.99μs -> 1.75μs (127% faster)
def test_nested_list_with_codeflash_output():
# Should return True if 'codeflash_output' is nested inside a list
visitor = CfoVisitor("")
target = parse_assignment_target("[a, [b, codeflash_output], c]")
codeflash_output = visitor._is_codeflash_output_target(target) # 3.86μs -> 1.87μs (106% faster)
def test_deeply_nested_tuple_and_list():
# Should return True if 'codeflash_output' is deeply nested
visitor = CfoVisitor("")
target = parse_assignment_target("a, (b, [c, (d, codeflash_output)])")
codeflash_output = visitor._is_codeflash_output_target(target) # 5.55μs -> 2.73μs (104% faster)
def test_attribute_assignment():
# Should return False for attribute assignment (e.g., obj.codeflash_output)
visitor = CfoVisitor("")
target = parse_assignment_target("obj.codeflash_output")
codeflash_output = visitor._is_codeflash_output_target(target) # 922ns -> 661ns (39.5% faster)
def test_subscript_assignment():
# Should return False for subscript assignment (e.g., codeflash_output[0])
visitor = CfoVisitor("")
target = parse_assignment_target("codeflash_output[0]")
codeflash_output = visitor._is_codeflash_output_target(target) # 1.12μs -> 672ns (67.0% faster)
def test_tuple_with_attribute_and_name():
# Should return True if at least one element is 'codeflash_output', even if others are attributes
visitor = CfoVisitor("")
target = parse_assignment_target("(obj.a, codeflash_output)")
codeflash_output = visitor._is_codeflash_output_target(target) # 3.29μs -> 1.20μs (173% faster)
def test_tuple_with_only_attributes():
# Should return False if all elements are attributes
visitor = CfoVisitor("")
target = parse_assignment_target("(obj.a, obj.codeflash_output)")
codeflash_output = visitor._is_codeflash_output_target(target) # 2.44μs -> 1.14μs (114% faster)
def test_list_with_subscript_and_name():
# Should return True if at least one element is 'codeflash_output', even if others are subscripts
visitor = CfoVisitor("")
target = parse_assignment_target("[a[0], codeflash_output]")
codeflash_output = visitor._is_codeflash_output_target(target) # 3.08μs -> 1.26μs (144% faster)
def test_list_with_only_subscripts():
# Should return False if all elements are subscripts
visitor = CfoVisitor("")
target = parse_assignment_target("[a[0], b[1]]")
codeflash_output = visitor._is_codeflash_output_target(target) # 2.30μs -> 1.22μs (88.5% faster)
def test_empty_tuple():
# Should return False for empty tuple
visitor = CfoVisitor("")
target = parse_assignment_target("()")
codeflash_output = visitor._is_codeflash_output_target(target) # 1.36μs -> 731ns (86.3% faster)
def test_empty_list():
# Should return False for empty list
visitor = CfoVisitor("")
target = parse_assignment_target("[]")
codeflash_output = visitor._is_codeflash_output_target(target) # 1.36μs -> 781ns (74.4% faster)
def test_non_ast_input():
# Should return False for non-AST input (shouldn't raise)
visitor = CfoVisitor("")
codeflash_output = visitor._is_codeflash_output_target("not an ast node") # 901ns -> 722ns (24.8% faster)
def test_tuple_with_non_ast_elements():
# Should return False if tuple contains non-AST elements
visitor = CfoVisitor("")
# Manually create a tuple node with non-AST elements
fake_tuple = ast.Tuple(elts=["not_ast", "also_not_ast"])
codeflash_output = visitor._is_codeflash_output_target(fake_tuple) # 2.33μs -> 1.10μs (111% faster)
def test_list_with_non_ast_elements():
# Should return False if list contains non-AST elements
visitor = CfoVisitor("")
fake_list = ast.List(elts=["not_ast", "also_not_ast"])
codeflash_output = visitor._is_codeflash_output_target(fake_list) # 2.20μs -> 1.10μs (100% faster)
# 3. Large Scale Test Cases
def test_large_tuple_with_codeflash_output_at_start():
# Should return True if 'codeflash_output' is the first element in a large tuple
visitor = CfoVisitor("")
names = ["codeflash_output"] + [f"var{i}" for i in range(999)]
expr = ", ".join(names)
target = parse_assignment_target(expr)
codeflash_output = visitor._is_codeflash_output_target(target) # 3.23μs -> 1.21μs (166% faster)
def test_large_tuple_with_codeflash_output_at_end():
# Should return True if 'codeflash_output' is the last element in a large tuple
visitor = CfoVisitor("")
names = [f"var{i}" for i in range(999)] + ["codeflash_output"]
expr = ", ".join(names)
target = parse_assignment_target(expr)
codeflash_output = visitor._is_codeflash_output_target(target) # 135μs -> 75.4μs (80.2% faster)
def test_large_tuple_without_codeflash_output():
# Should return False if 'codeflash_output' is not present in a large tuple
visitor = CfoVisitor("")
names = [f"var{i}" for i in range(1000)]
expr = ", ".join(names)
target = parse_assignment_target(expr)
codeflash_output = visitor._is_codeflash_output_target(target) # 134μs -> 74.7μs (80.0% faster)
def test_large_list_with_codeflash_output_in_middle():
# Should return True if 'codeflash_output' is in the middle of a large list
visitor = CfoVisitor("")
names = [f"var{i}" for i in range(500)] + ["codeflash_output"] + [f"var{i}" for i in range(500, 999)]
expr = "[" + ", ".join(names) + "]"
target = parse_assignment_target(expr)
codeflash_output = visitor._is_codeflash_output_target(target) # 70.3μs -> 38.6μs (82.2% faster)
from __future__ import annotations
import ast
from typing import Union
# imports
import pytest # used for our unit tests
from codeflash.code_utils.edit_generated_tests import CfoVisitor
# unit tests
@pytest.fixture
def visitor():
# Provide a dummy source code string; not used in _is_codeflash_output_target
return CfoVisitor("dummy\nsource\ncode")
# --------------------
# 1. Basic Test Cases
# --------------------
def test_simple_name_match(visitor):
# Should return True for variable named 'codeflash_output'
node = ast.Name(id="codeflash_output")
codeflash_output = visitor._is_codeflash_output_target(node) # 781ns -> 721ns (8.32% faster)
def test_simple_name_no_match(visitor):
# Should return False for other variable names
node = ast.Name(id="not_codeflash_output")
codeflash_output = visitor._is_codeflash_output_target(node) # 651ns -> 631ns (3.17% faster)
def test_tuple_with_codeflash_output(visitor):
# Should return True if 'codeflash_output' is in tuple assignment
node = ast.Tuple(elts=[
ast.Name(id="a"),
ast.Name(id="codeflash_output"),
ast.Name(id="b"),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 3.00μs -> 1.17μs (156% faster)
def test_tuple_without_codeflash_output(visitor):
# Should return False if 'codeflash_output' is not in tuple
node = ast.Tuple(elts=[
ast.Name(id="a"),
ast.Name(id="b"),
ast.Name(id="c"),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 2.19μs -> 1.23μs (78.2% faster)
def test_list_with_codeflash_output(visitor):
# Should return True if 'codeflash_output' is in list assignment
node = ast.List(elts=[
ast.Name(id="x"),
ast.Name(id="codeflash_output"),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 2.81μs -> 1.15μs (143% faster)
def test_list_without_codeflash_output(visitor):
# Should return False if 'codeflash_output' is not in list
node = ast.List(elts=[
ast.Name(id="x"),
ast.Name(id="y"),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 2.05μs -> 1.04μs (97.3% faster)
def test_subscript_target(visitor):
# Should return False for subscript assignment (e.g., codeflash_output[0] = ...)
node = ast.Subscript(
value=ast.Name(id="codeflash_output"),
slice=ast.Index(value=ast.Constant(value=0)),
ctx=ast.Store(),
)
codeflash_output = visitor._is_codeflash_output_target(node) # 931ns -> 661ns (40.8% faster)
def test_attribute_target(visitor):
# Should return False for attribute assignment (e.g., codeflash_output.attr = ...)
node = ast.Attribute(
value=ast.Name(id="codeflash_output"),
attr="attr",
ctx=ast.Store(),
)
codeflash_output = visitor._is_codeflash_output_target(node) # 852ns -> 701ns (21.5% faster)
# --------------------
# 2. Edge Test Cases
# --------------------
def test_nested_tuple_with_codeflash_output(visitor):
# Should return True if 'codeflash_output' is nested inside tuple
node = ast.Tuple(elts=[
ast.Name(id="a"),
ast.Tuple(elts=[
ast.Name(id="b"),
ast.Name(id="codeflash_output"),
]),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 3.87μs -> 1.75μs (121% faster)
def test_nested_list_with_codeflash_output(visitor):
# Should return True if 'codeflash_output' is nested inside list
node = ast.List(elts=[
ast.List(elts=[
ast.Name(id="codeflash_output"),
]),
ast.Name(id="c"),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 3.24μs -> 1.59μs (103% faster)
def test_deeply_nested_structure_without_codeflash_output(visitor):
# Should return False if 'codeflash_output' is not present anywhere
node = ast.Tuple(elts=[
ast.List(elts=[
ast.Tuple(elts=[
ast.Name(id="x")
])
])
])
codeflash_output = visitor._is_codeflash_output_target(node) # 3.00μs -> 1.91μs (56.5% faster)
def test_tuple_with_subscript_and_codeflash_output(visitor):
# Should return True if 'codeflash_output' is present, even if other elements are subscripts
node = ast.Tuple(elts=[
ast.Subscript(
value=ast.Name(id="foo"),
slice=ast.Index(value=ast.Constant(value=0)),
ctx=ast.Store(),
),
ast.Name(id="codeflash_output"),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 2.88μs -> 1.13μs (155% faster)
def test_tuple_with_only_subscripts(visitor):
# Should return False if tuple contains only subscript elements
node = ast.Tuple(elts=[
ast.Subscript(
value=ast.Name(id="foo"),
slice=ast.Index(value=ast.Constant(value=0)),
ctx=ast.Store(),
),
ast.Subscript(
value=ast.Name(id="bar"),
slice=ast.Index(value=ast.Constant(value=1)),
ctx=ast.Store(),
),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 2.25μs -> 1.12μs (101% faster)
def test_tuple_with_attribute_and_codeflash_output(visitor):
# Should return True if 'codeflash_output' is present, even if other elements are attributes
node = ast.Tuple(elts=[
ast.Attribute(
value=ast.Name(id="foo"),
attr="bar",
ctx=ast.Store(),
),
ast.Name(id="codeflash_output"),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 2.90μs -> 1.12μs (158% faster)
def test_tuple_with_only_attributes(visitor):
# Should return False if tuple contains only attribute elements
node = ast.Tuple(elts=[
ast.Attribute(
value=ast.Name(id="foo"),
attr="bar",
ctx=ast.Store(),
),
ast.Attribute(
value=ast.Name(id="baz"),
attr="qux",
ctx=ast.Store(),
),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 2.31μs -> 1.16μs (99.2% faster)
def test_empty_tuple(visitor):
# Should return False for empty tuple
node = ast.Tuple(elts=[])
codeflash_output = visitor._is_codeflash_output_target(node) # 1.37μs -> 722ns (90.0% faster)
def test_empty_list(visitor):
# Should return False for empty list
node = ast.List(elts=[])
codeflash_output = visitor._is_codeflash_output_target(node) # 1.35μs -> 801ns (68.8% faster)
def test_invalid_type(visitor):
# Should return False for unsupported node types (e.g., ast.Constant)
node = ast.Constant(value=42)
codeflash_output = visitor._is_codeflash_output_target(node) # 911ns -> 691ns (31.8% faster)
def test_mixed_types_with_codeflash_output(visitor):
# Should return True if 'codeflash_output' is present among mixed node types
node = ast.Tuple(elts=[
ast.Constant(value=1),
ast.Name(id="codeflash_output"),
ast.Attribute(
value=ast.Name(id="foo"),
attr="bar",
ctx=ast.Store(),
),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 3.04μs -> 1.16μs (161% faster)
def test_mixed_types_without_codeflash_output(visitor):
# Should return False if 'codeflash_output' is not present among mixed node types
node = ast.Tuple(elts=[
ast.Constant(value=1),
ast.Attribute(
value=ast.Name(id="foo"),
attr="bar",
ctx=ast.Store(),
),
])
codeflash_output = visitor._is_codeflash_output_target(node) # 2.30μs -> 1.11μs (107% faster)
# --------------------
# 3. Large Scale Test Cases
# --------------------
def test_large_tuple_with_codeflash_output_at_start(visitor):
# Should return True if 'codeflash_output' is at the start of a large tuple
node = ast.Tuple(elts=[ast.Name(id="codeflash_output")] + [ast.Name(id=f"x{i}") for i in range(999)])
codeflash_output = visitor._is_codeflash_output_target(node) # 2.83μs -> 1.14μs (148% faster)
def test_large_tuple_with_codeflash_output_at_end(visitor):
# Should return True if 'codeflash_output' is at the end of a large tuple
node = ast.Tuple(elts=[ast.Name(id=f"x{i}") for i in range(999)] + [ast.Name(id="codeflash_output")])
codeflash_output = visitor._is_codeflash_output_target(node) # 146μs -> 85.4μs (72.1% faster)
def test_large_tuple_with_codeflash_output_in_middle(visitor):
# Should return True if 'codeflash_output' is in the middle of a large tuple
elts = [ast.Name(id=f"x{i}") for i in range(500)] + [ast.Name(id="codeflash_output")] + [ast.Name(id=f"x{i}") for i in range(500, 999)]
node = ast.Tuple(elts=elts)
codeflash_output = visitor._is_codeflash_output_target(node) # 76.6μs -> 43.9μs (74.7% faster)
def test_large_tuple_without_codeflash_output(visitor):
# Should return False if 'codeflash_output' is not present in a large tuple
node = ast.Tuple(elts=[ast.Name(id=f"x{i}") for i in range(1000)])
codeflash_output = visitor._is_codeflash_output_target(node) # 147μs -> 86.9μs (69.8% faster)
def test_large_nested_tuple_with_codeflash_output(visitor):
# Should return True if 'codeflash_output' is deeply nested in a large structure
inner = ast.Tuple(elts=[ast.Name(id=f"x{i}") for i in range(999)] + [ast.Name(id="codeflash_output")])
outer = ast.Tuple(elts=[ast.Name(id="a"), inner, ast.Name(id="b")])
codeflash_output = visitor._is_codeflash_output_target(outer) # 147μs -> 87.7μs (68.5% faster)
def test_large_nested_tuple_without_codeflash_output(visitor):
# Should return False if 'codeflash_output' is not present in any nested structure
inner = ast.Tuple(elts=[ast.Name(id=f"x{i}") for i in range(1000)])
outer = ast.Tuple(elts=[ast.Name(id="a"), inner, ast.Name(id="b")])
codeflash_output = visitor._is_codeflash_output_target(outer) # 148μs -> 88.2μs (67.9% faster)
def test_large_list_with_codeflash_output(visitor):
# Should return True for large list containing 'codeflash_output'
node = ast.List(elts=[ast.Name(id=f"x{i}") for i in range(500)] + [ast.Name(id="codeflash_output")] + [ast.Name(id=f"x{i}") for i in range(501, 1000)])
codeflash_output = visitor._is_codeflash_output_target(node) # 75.8μs -> 42.8μs (77.1% faster)
def test_large_list_without_codeflash_output(visitor):
# Should return False for large list without 'codeflash_output'
node = ast.List(elts=[ast.Name(id=f"x{i}") for i in range(1000)])
codeflash_output = visitor._is_codeflash_output_target(node) # 149μs -> 86.5μs (73.3% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.To test or edit this optimization locally git merge codeflash/optimize-pr358-2025-06-21T00.08.50
Click to see suggested changes
Suggested change
| def _is_codeflash_output_target(self, target: Union[ast.expr, list]) -> bool: # type: ignore[type-arg] | |
| """Check if the assignment target is the variable 'codeflash_output'.""" | |
| if isinstance(target, ast.Name): | |
| return target.id == "codeflash_output" | |
| if isinstance(target, (ast.Tuple, ast.List)): | |
| # Handle tuple/list unpacking: a, codeflash_output, b = values | |
| return any(self._is_codeflash_output_target(elt) for elt in target.elts) | |
| if isinstance(target, (ast.Subscript, ast.Attribute)): | |
| def _is_codeflash_output_target(self, target: Union[ast.expr, list]) -> bool: | |
| """Check if the assignment target is the variable 'codeflash_output'.""" | |
| t_type = type(target) | |
| if t_type is ast.Name: | |
| return target.id == "codeflash_output" | |
| if t_type is ast.Tuple or t_type is ast.List: | |
| # Handle tuple/list unpacking: a, codeflash_output, b = values | |
| # Flatten elts (avoid generator, avoid recursion if not necessary): | |
| elts = target.elts | |
| for elt in elts: | |
| if type(elt) is ast.Name: | |
| if elt.id == "codeflash_output": | |
| return True | |
| elif type(elt) is ast.Tuple or type(elt) is ast.List: | |
| # Recursively check nested tuples/lists, but avoid generator | |
| if self._is_codeflash_output_target(elt): | |
| return True | |
| return False | |
| if t_type is ast.Subscript or t_type is ast.Attribute: |
codeflash-ai bot
added a commit
that referenced
this pull request
Jun 21, 2025
…358 (`fix-test-reporting`) Here’s how you can optimize your program for runtime. ### Analysis - **Bottleneck:** The vast majority of time is spent in `visitor.visit(tree)` (82.9%). This suggests that. - `CfoVisitor`'s implementation (not included) should be optimized, but since its code isn’t given here, we'll focus on the lines given. - **Parsing overhead:** `ast.parse(source_code)` is the next biggest cost (16.8%), but must happen. - **Other lines:** Negligible. ### Direct External Optimizations **There are limited options without refactoring CfoVisitor**. But we can. - Reuse the AST if the same source gets passed repeatedly, via a simple cache (if that's plausible for your app). - Remove redundant code. ([The instantiation of `CfoVisitor` is already minimal.]) - Use `__slots__` in `CfoVisitor` if you control its code (not given). - Make visitor traversal more efficient, or swap for a faster implementation, if possible (but assuming we can't here). ### Safe Minimal Acceleration (with your visible code) To improve Python's AST speed for repeated jobs you can use the builtin compile cache. Python 3.9+ [via `ast.parse` does not by itself cache, but compile() can]. However, since `ast.parse` constructs an AST, and we use `CfoVisitor` (unknown) we can't avoid it. #### 1. Use `ast.NodeVisitor().visit` Directly This is as direct as your code, but no faster. #### 2. Use "fast mode" for ast if available ([no such param in stdlib]) #### 3. Use LRU Cache for repeated source (if same string is used multiple times) If your function may receive duplicates, memoize the result. - This only helps if the *same* `source_code` appears repeatedly. #### 4. If CfoVisitor doesn't use the `source_code` string itself. - Pass the AST only. But it appears your visitor uses both the AST and source code string. #### 5. **Further Acceleration: Avoid class usage for simple visitors** If you have access to the `CfoVisitor` code, and it's a simple AST visitor, you could rewrite it as a generator function. This change is NOT possible unless we know what that visitor does. --- ### **Summing up:** Since the main cost is inside `CfoVisitor.visit`, and you cannot change CfoVisitor, the only safe optimization at this level is to memoize the parse step if *repeat calls for identical inputs* arise. ### **Final Code: Faster for repeated inputs** This form will be notably faster **only** if `source_code` is not unique every time. #### Otherwise. - The bottleneck is in `CfoVisitor`. You would need to optimize *that class and its visit logic* for further speed gains. --- **If you provide the CfoVisitor code, I can directly optimize the expensive function.**
⚡️ Codeflash found optimizations for this PR📄 61% (0.61x) speedup for
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#360 how the PR would look like |
misrasaurabh1
approved these changes
Jun 21, 2025
This was referenced Jun 21, 2025
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PR Type
Enhancement, Bug fix, Tests
Description
Add AST visitor to record assignment positions
Update transformer to match assignments by index
Support multiple codeflash_output assignments
Extend tests for multi-assignment scenarios
Changes walkthrough 📝
edit_generated_tests.py
Add AST visitor and index-based matchingcodeflash/code_utils/edit_generated_tests.py
CfoVisitorto locatecodeflash_outputassignmentsfind_codeflash_output_assignmentshelperRuntimeCommentTransformerto accept module ASTcfo_locsand match by iteration indexcst.Moduleobjecttest_add_runtime_comments.py
Update test for multi-assignment commentstests/test_add_runtime_comments.py
codeflash_outputassignment in testinvocation_idtoinvocation_id1, addedinvocation_id2