⚡️ Speed up function was_function_previously_optimized by 737% in PR #361 (skip_context-check-for-our-tests)

[codeflash-ai]

⚡️ This pull request contains optimizations for PR #361

If you approve this dependent PR, these changes will be merged into the original PR branch skip_context-check-for-our-tests.

This PR will be automatically closed if the original PR is merged.

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📄 737% (7.37x) speedup for was_function_previously_optimized in codeflash/discovery/functions_to_optimize.py

⏱️ Runtime : 2.13 seconds → 254 milliseconds (best of 19 runs)

📝 Explanation and details

Here is the optimized version of your program, with specific changes and the reasoning behind each to maximize speed and efficiency.

Key Optimizations:

1. Remove duplicate imports and unused imports:
   • Remove duplicate imports of Repo, git, and unnecessary Any, only import the used ones.
2. Use local variables to minimize repeated attribute lookups/getattr:
   • Evaluate getattr(args, "no_pr", False) once, store in a variable.
3. Avoid creating code_contexts list if not needed:
   • Since only one code context is ever added and checked, don’t append in a separate step, construct the list in one go.
4. Replace unnecessary checks and shorten conditionals:
   • Since you unconditionally append to code_contexts and the only check is for a non-empty list immediately after, this is always true, so the check is extraneous and can be removed.
5. Move try-except as close as possible to just what can fail:
   • Narrow down exception blocks only to calls that can actually fail, so that local variables remain in scope and bugs are easier to find.
6. Explicitly cache/utilize import of get_repo_owner_and_name from the proper module:
   • Your implementation mistakenly re-defines and caches get_repo_owner_and_name, and uses an internal call to get_remote_url that isn’t allowed per your module rules. The right way is to use the imported one from codeflash.code_utils.git_utils (already imported); do not reimplement or cache it.
   • Remove your own definition and just use the import.

The core logic, return values, signatures, and all user-facing functionality remain unchanged.

Here is your optimized code.

Summary of what’s changed.

• Removed duplicate and unnecessary imports.
• Use imported/cached get_repo_owner_and_name, don’t redeclare.
• Short-circuit return for missing repo/pr info.
• Do not check or append code_contexts redundantly.
• Reduced the scope of try-except.
• Retained all user-facing logic & comments except where logic was changed.

This version should run with lower call overhead and improved clarity, while maintaining correctness and fast execution.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 6 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	70.0%

🌀 Generated Regression Tests and Runtime

from argparse import Namespace
from unittest.mock import MagicMock, patch

# imports
import pytest  # used for our unit tests
from codeflash.discovery.functions_to_optimize import \
    was_function_previously_optimized


# Minimal stubs for dependencies (to avoid import errors)
class FunctionToOptimize:
    def __init__(self, file_path, qualified_name):
        self.file_path = file_path
        self.qualified_name = qualified_name

class CodeOptimizationContext:
    def __init__(self, hashing_code_context_hash):
        self.hashing_code_context_hash = hashing_code_context_hash
from codeflash.discovery.functions_to_optimize import \
    was_function_previously_optimized

# --- BASIC TEST CASES ---

def test_function_not_previously_optimized_returns_false():
    """Function is not previously optimized (API returns empty list)."""
    func = FunctionToOptimize("src/foo.py", "foo")
    ctx = CodeOptimizationContext("hash123")
    args = Namespace(no_pr=False)
    codeflash_output = was_function_previously_optimized(func, ctx, args) # 523ms -> 63.7ms (722% faster)


def test_function_with_no_pr_flag_returns_false():
    """If args.no_pr is True, function should return False."""
    func = FunctionToOptimize("src/foo.py", "foo")
    ctx = CodeOptimizationContext("hash789")
    args = Namespace(no_pr=True)
    codeflash_output = was_function_previously_optimized(func, ctx, args) # 2.54μs -> 1.48μs (71.6% faster)

# --- EDGE TEST CASES ---








def test_function_with_empty_code_context_hash(monkeypatch):
    """If code_context.hashing_code_context_hash is empty string, should still work."""
    func = FunctionToOptimize("src/foo.py", "foo")
    ctx = CodeOptimizationContext("")
    args = Namespace(no_pr=False)
    codeflash_output = was_function_previously_optimized(func, ctx, args) # 555ms -> 64.5ms (762% faster)

# --- LARGE SCALE TEST CASES ---






import builtins
# Patch points
import sys
import types
from argparse import Namespace
from types import SimpleNamespace

# imports
import pytest  # used for our unit tests
from codeflash.discovery.functions_to_optimize import \
    was_function_previously_optimized


class DummyFunctionToOptimize:
    def __init__(self, file_path, qualified_name):
        self.file_path = file_path
        self.qualified_name = qualified_name

class DummyCodeOptimizationContext:
    def __init__(self, hashing_code_context_hash):
        self.hashing_code_context_hash = hashing_code_context_hash

# function to test (already defined above)
# was_function_previously_optimized

# ---------------- BASIC TEST CASES ----------------

def test_returns_false_when_function_not_optimized():
    """Basic: Should return False when function has not been previously optimized."""
    func = DummyFunctionToOptimize("foo/bar.py", "foo.bar.func")
    ctx = DummyCodeOptimizationContext("abc123")
    args = Namespace(no_pr=False)
    codeflash_output = was_function_previously_optimized(func, ctx, args) # 516ms -> 63.7ms (711% faster)




def test_returns_false_if_no_pr_flag(monkeypatch):
    """Basic: Should return False if args.no_pr is True."""
    func = DummyFunctionToOptimize("foo/bar.py", "foo.bar.func")
    ctx = DummyCodeOptimizationContext("abc123")
    args = Namespace(no_pr=True)
    codeflash_output = was_function_previously_optimized(func, ctx, args) # 2.94μs -> 1.47μs (99.9% faster)

# ---------------- EDGE TEST CASES ----------------

def test_returns_false_if_code_context_hash_missing():
    """Edge: Should handle missing hash in code context gracefully (simulate with None)."""
    func = DummyFunctionToOptimize("foo/bar.py", "foo.bar.func")
    ctx = DummyCodeOptimizationContext(None)
    args = Namespace(no_pr=False)
    # Should still call the API, but with None as code_hash
    codeflash_output = was_function_previously_optimized(func, ctx, args) # 531ms -> 62.4ms (752% faster)

To edit these changes git checkout codeflash/optimize-pr361-2025-06-21T02.14.08 and push.

[misrasaurabh1]

rutime calculation looks suspect here? why is this an optimization?