⚡️ Speed up function parse_test_failures_from_stdout by 16% in PR #945 (feat/feedback-loop-for-unmatched-test-results)#946
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mohammedahmed18 merged 1 commit intoNov 27, 2025
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The optimized code achieves a **15% speedup** through several targeted micro-optimizations that reduce computational overhead in the parsing loop:
**Key Optimizations:**
1. **Single-pass boundary search**: Instead of checking both conditions (`start_line != -1 and end_line != -1`) on every iteration, the optimized version uses `None` values and breaks immediately when both markers are found, eliminating redundant condition checks.
2. **Fast-path string matching**: Before calling the expensive `.startswith("_______")` method, it first checks if `line[0] == "_"`, avoiding the method call for most lines that don't start with underscores.
3. **Method lookup optimization**: Pulls `current_failure_lines.append` into a local variable to avoid repeated attribute lookups in the hot loop where failure lines are processed.
4. **Memory-efficient list management**: Uses `current_failure_lines.clear()` instead of creating new list objects (`current_failure_lines = []`), reducing object allocation pressure.
**Performance Impact:**
The optimizations show the most significant gains in large-scale scenarios:
- **Large failure sets**: 14.2% faster with 500 failures, 14.0% faster with 999 failures
- **Large output**: 29.2% faster for single failures with 1000 lines of output
- **Complex scenarios**: 22.3% faster with 50 cases having 10 lines each
**Hot Path Context:**
Based on the function reference, `parse_test_failures_from_stdout` is called from `parse_test_results`, which appears to be part of a test optimization pipeline. The function processes pytest stdout to extract failure information, making it performance-critical when dealing with large test suites or verbose test outputs. The 15% improvement becomes meaningful when processing hundreds of test failures in CI/CD environments or during iterative code optimization workflows.
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⚡️ This pull request contains optimizations for PR #945
If you approve this dependent PR, these changes will be merged into the original PR branch
feat/feedback-loop-for-unmatched-test-results.📄 16% (0.16x) speedup for
parse_test_failures_from_stdoutincodeflash/verification/parse_test_output.py⏱️ Runtime :
2.76 milliseconds→2.39 milliseconds(best of250runs)📝 Explanation and details
The optimized code achieves a 15% speedup through several targeted micro-optimizations that reduce computational overhead in the parsing loop:
Key Optimizations:
Single-pass boundary search: Instead of checking both conditions (
start_line != -1 and end_line != -1) on every iteration, the optimized version usesNonevalues and breaks immediately when both markers are found, eliminating redundant condition checks.Fast-path string matching: Before calling the expensive
.startswith("_______")method, it first checks ifline[0] == "_", avoiding the method call for most lines that don't start with underscores.Method lookup optimization: Pulls
current_failure_lines.appendinto a local variable to avoid repeated attribute lookups in the hot loop where failure lines are processed.Memory-efficient list management: Uses
current_failure_lines.clear()instead of creating new list objects (current_failure_lines = []), reducing object allocation pressure.Performance Impact:
The optimizations show the most significant gains in large-scale scenarios:
Hot Path Context:
Based on the function reference,
parse_test_failures_from_stdoutis called fromparse_test_results, which appears to be part of a test optimization pipeline. The function processes pytest stdout to extract failure information, making it performance-critical when dealing with large test suites or verbose test outputs. The 15% improvement becomes meaningful when processing hundreds of test failures in CI/CD environments or during iterative code optimization workflows.✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-pr945-2025-11-27T14.49.01and push.