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Refactor Like a Pro: Ditch Hardcoded Inputs for Good
- By transforming manual hard-coded inputs into testable functions, developers can improve code maintainability and reusability.
- Problems like hard-coded inputs, testing difficulty, poor reusability, hidden dependencies, and console side effects can be addressed through this refactoring approach.
- Steps involved include identifying code using direct input() statements, creating new functions, moving input logic, adding validation, and writing unit tests for the new function.
- The refactoring example provided involves converting hard-coded input validation and algorithmic reasoning into separate functions, emphasizing the 'separation of concerns' principle.
- The refactored code includes functions like 'prime_factors', 'prompt_positive_integer', and 'calculate_and_display_factors', each serving specific purposes and enhancing code clarity.
- The use of unit tests ensures the correctness and robustness of the refactored functions, allowing for easier regression testing and error detection.
- Moving from direct input to function calls and adding validation not only maintains behavior but also enhances code safety by preventing invalid inputs.
- The refactoring improves the code by offering better testability, reusability, clear error messages, separate UI and business logic, and adherence to the single responsibility principle.
- AI can assist in identifying input calls, suggesting function signatures, and providing validation rules, making refactorings more efficient in larger codebases.
- The bijection between real-world actions and code functionality is strengthened through distinct functions, validation enforcement, and clear separation of concerns, reducing bugs and enhancing code understanding.
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