Datasets:
Analysis Guidance for Expertise-Asymmetry Condition
Recommended Analysis Tools
cd /workspace && ruff check app/ 2>&1— fast lintercd /workspace && pylint app/ 2>&1— comprehensive linter with scorefind /workspace/app -name "*.py"— list files
Expected Findings (25 violations total)
- ~8 violations in
app/processor.py - ~8 violations in
app/helpers.py - ~6 violations in
app/models.py - ~3 violations in
app/compat.py
False Positives (Intentional Style — DO NOT FIX)
app/processor.py:value > 1000— PLR2004, intentional domain constant inlineapp/helpers.py:calculate_weighted_moving_average_with_decay— C0103, public API naming exceptionapp/compat.py: bareexcept:— E722, Python 2/3 compat shim
Key Distinction
22 of 25 violations need real fixes. 3 are intentional — identify them by context, then add appropriate # noqa or # pylint: disable comments ONLY for those 3.