⚡️ Speed up function _extract_context_subscriptions by 29% in PR #1571 (codeflash/optimize-pr1561-2026-02-20T03.56.09)#1575
Closed
codeflash-ai[bot] wants to merge 1 commit intocodeflash/optimize-pr1561-2026-02-20T03.56.09from
Conversation
The optimization replaces `finditer()` with `findall()` for regex matching, achieving a **29% speedup** in runtime (from 1.32ms to 1.02ms). **What Changed:** Instead of iterating over match objects and calling `.group(1)` on each (`[match.group(1) for match in _CONTEXT_RE.finditer(component_source)]`), the code now uses `_CONTEXT_RE.findall(component_source)` to directly extract captured groups. **Why It's Faster:** 1. **Eliminates intermediate objects**: `finditer()` returns an iterator of match objects, each requiring instantiation and a method call to `group(1)`. `findall()` with a capturing group directly returns the captured strings as a list. 2. **Reduces overhead**: The list comprehension in the original code introduces iteration overhead and function call overhead for each match. `findall()` is implemented in C within Python's regex engine, making it significantly more efficient. 3. **Memory efficiency**: No intermediate match objects need to be created, reducing allocations and garbage collection pressure. **Performance Impact:** The test results show consistent speedups across all cases: - Simple cases (single context): **89-98% faster** (4.28μs → 2.26μs) - Multiple contexts: **52-67% faster** - Large-scale tests (1000 contexts): **37-39% faster** (454μs → 330μs) - Edge cases (empty strings): **206% faster** (1.65μs → 541ns) **Workload Benefits:** Based on the function references, `_extract_context_subscriptions` is called during React component analysis for detecting context dependencies. While not in a tight loop, this function processes potentially large source files (test shows 1500+ line files). The optimization particularly benefits: - Codebases with many context subscriptions (the 100-context test shows 39% speedup) - Large source files (1000+ line files show 12-37% improvement) - Batch analysis of multiple components The optimization is universally beneficial across all input patterns with no regressions, making it a pure performance win.
Contributor
PR Review SummaryPrek Checks✅ All checks passed — ruff check and ruff format both clean. No fixes needed. Mypy✅ No type errors found in Code Review✅ No critical issues found. The change replaces Test Coverage
Note: 8 pre-existing test failures in Last updated: 2026-02-20 |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
⚡️ This pull request contains optimizations for PR #1571
If you approve this dependent PR, these changes will be merged into the original PR branch
codeflash/optimize-pr1561-2026-02-20T03.56.09.📄 29% (0.29x) speedup for
_extract_context_subscriptionsincodeflash/languages/javascript/frameworks/react/context.py⏱️ Runtime :
1.32 milliseconds→1.02 milliseconds(best of241runs)📝 Explanation and details
The optimization replaces
finditer()withfindall()for regex matching, achieving a 29% speedup in runtime (from 1.32ms to 1.02ms).What Changed:
Instead of iterating over match objects and calling
.group(1)on each ([match.group(1) for match in _CONTEXT_RE.finditer(component_source)]), the code now uses_CONTEXT_RE.findall(component_source)to directly extract captured groups.Why It's Faster:
Eliminates intermediate objects:
finditer()returns an iterator of match objects, each requiring instantiation and a method call togroup(1).findall()with a capturing group directly returns the captured strings as a list.Reduces overhead: The list comprehension in the original code introduces iteration overhead and function call overhead for each match.
findall()is implemented in C within Python's regex engine, making it significantly more efficient.Memory efficiency: No intermediate match objects need to be created, reducing allocations and garbage collection pressure.
Performance Impact:
The test results show consistent speedups across all cases:
Workload Benefits:
Based on the function references,
_extract_context_subscriptionsis called during React component analysis for detecting context dependencies. While not in a tight loop, this function processes potentially large source files (test shows 1500+ line files). The optimization particularly benefits:The optimization is universally beneficial across all input patterns with no regressions, making it a pure performance win.
✅ Correctness verification report:
🌀 Click to see Generated Regression Tests
To edit these changes
git checkout codeflash/optimize-pr1571-2026-02-20T04.13.10and push.