simplify

To refactor Python code while preserving behavior, apply single responsibility principles, extract smaller functions from long blocks, enforce shallow nesting, add type hints, and run tests to verify no behavior changes occurred.

Cleaning up legacy Python modules involves extracting smaller functions to enforce single responsibility, reducing deep nesting levels, improving naming clarity, adding mandatory type hints, and validating the refactored logic against the existing test suite.

Yes, you can add type hints while preserving library constraints by analyzing dependencies first, planning changes around those limitations, executing the refactoring, and running tests to confirm the original behavior remains unchanged.

Simplify long Python functions by breaking them into smaller, single-responsibility functions, flattening deep nesting, applying clear naming conventions, adding type hints, and executing tests to ensure functionality remains exactly the same.

You should halt code refactoring if analyzing the target reveals strict library constraints that prevent extracting functions or adding type hints, ensuring you do not break mandatory dependencies before running verification tests.

Yes, code simplification requires running tests to verify changes because the process strictly preserves original behavior, ensuring that extracting functions, reducing nesting, and adding type hints introduce no functional regressions.