python-verification

Features and purpose

Replaces the task of serving as a quality gate to guarantee Python code quality through static analysis and testing. Typical use cases: (1) Confirming type safety (Mypy) and style checks (Ruff) during new feature implementation, (2) Fixing test failures through efficient debugging workflows (lf, pdb, etc.), (3) Automating final quality assurance checks before PR creation or commits.

Quick start

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