Refactor Code Prompt for Cleaner Code

Since the original code was not provided, I'll demonstrate a refactoring example based on a typical Python snippet that might have inefficiencies, readability issues, and lack modularity. This example will walk through the refactoring steps on a representative piece of code. --- ### Original (hypothetical) code: ```python def process_data(data): result = [] for i in range(len(data)): if data[i] % 2 == 0: squared = data[i] ** 2 if squared > 10: result.append(squared) for j in range(len(result)): print("Value:", result[j]) return result ``` --- ### Step-by-step issues identified: 1. **Index-based iteration:** Using `range(len(data))` with indexing is less Pythonic and less readable. 2. **Nested conditions:** Nested `if`s can be combined for clarity. 3. **Single responsibility:** The function mixes data processing and printing results — these should be separate. 4. **No input validation:** No checks for input data correctness or empty lists. 5. **Missed opportunity to use list comprehensions** for performance and readability. 6. **Hardcoded condition `squared > 10`:** Could be parameterized for flexibility. 7. **Lack of docstrings and type hints:** Helpful for maintainability. --- ### Refactored code: ```python from typing import List def filter_and_square( data: List[int], threshold: int = 10 ) -> List[int]: """ Filters even numbers from the data, squares them, and returns those with a value greater than the threshold. Args: data (List[int]): List of integers to process. threshold (int): Minimum squared value to include. Returns: List[int]: List of squared even values greater than threshold. """ if not isinstance(data, list): raise TypeError("Input data must be a list of integers.") if any(not isinstance(x, int) for x in data): raise ValueError("All items in data must be integers.") return [x ** 2 for x in data if x % 2 == 0 and (x ** 2) > threshold] def print_values(values: List[int]) -> None: """ Prints the values in a formatted manner. Args: values (List[int]): List of integers to print. """ for value in values: print(f"Value: {value}") # Example usage: if __name__ == "__main__": sample_data = [1, 2, 3, 4, 5, 6] processed_values = filter_and_square(sample_data) print_values(processed_values) ``` --- ### Explanation of changes and benefits: - **Separated concerns:** `filter_and_square` handles processing, `print_values` handles output. This improves modularity, testability, and reusability. - **Used list comprehension:** This makes filtering and transforming concise and efficient. - **Added type hints and docstrings:** Improves readability, usability, and helps auto-documentation tools. - **Input validation:** Checks types and raises clear exceptions, preventing unexpected failures downstream. - **Parameterization:** Added `threshold` as a parameter instead of a magic number, making the function more flexible. - **Formatted printing:** Used f-strings for readability and performance. - **Guard clause in example usage:** Shows how to call these functions properly, which is helpful for developers. This refactoring makes the code more maintainable, readable, and slightly more performant due to reduced overhead of explicit loops and conditions. It also suppresses side-effects within pure functions for better predictability and easier unit testing.