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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:
- Potential for ZeroDivisionError: Although there's a check
if len(numbers) > 0 else 0in the return statement,len(numbers)is evaluated before the check in thetotal / len(numbers)part. Ifnumbersis an empty list,len(numbers)would be 0, leading to aZeroDivisionErrorduring division before the conditional check is applied. - 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:
- ZeroDivisionError Prevention: The
if not numbers:check is moved to the beginning of the function. This immediately handles the case of an emptynumberslist by returning 0, thus preventing any division by zero errors downstream. This is a more robust and Pythonic way to handle empty input lists. - Improved Efficiency and Readability: Replaced the explicit
forloop for summation with Python's built-insum()function. This makes the code more concise, often more efficient for larger lists, and improves readability, aligning with Python best practices.