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Fixing Spaghetti Code to Clean Python Using Guard Clauses and Rejection Rules

Complex, deeply nested conditional logic can be refactored safely by first locking in current behavior with characterization tests, then applying behavior-preserving transformations step by step: flattening structure with guard clauses, naming conditions, merging duplicated outcomes into a declarative set of rejection rules, and moving stable rules into data structures. The aim is to reduce cognitive complexity and make logic readable, testable, and extensible. This belongs to software engineering and code quality, specifically refactoring and clean-code practice for control flow.