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Python Code Debugger & Refactor

Analyzes a given Python code snippet, identifies bugs and errors, and provides a corrected, efficient, and best-practice adhering version along with explanations of the fixes.

Input

Output

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Example

Original Code:

def calculate_average(numbers):
    total = 0
    for num in numbers:
        total += num
    return total / len(numbers) if len(numbers) > 0 else 0

Problems Found:

  1. Potential for ZeroDivisionError: Although there's a check if len(numbers) > 0 else 0 in the return statement, len(numbers) is evaluated before the check in the total / len(numbers) part. If numbers is an empty list, len(numbers) would be 0, leading to a ZeroDivisionError during division before the conditional check is applied.
  2. Efficiency: The manual loop for summing elements can be replaced with the more efficient and Pythonic built-in sum() function.

Corrected Version:

def calculate_average(numbers):
    if not numbers:  # Check if the list is empty at the beginning
        return 0
    total = sum(numbers) # Use built-in sum() for efficiency
    return total / len(numbers)

Explanation of Fixes:

  1. ZeroDivisionError Prevention: The if not numbers: check is moved to the beginning of the function. This immediately handles the case of an empty numbers list by returning 0, thus preventing any division by zero errors downstream. This is a more robust and Pythonic way to handle empty input lists.
  2. Improved Efficiency and Readability: Replaced the explicit for loop for summation with Python's built-in sum() function. This makes the code more concise, often more efficient for larger lists, and improves readability, aligning with Python best practices.