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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 0
in the return statement,len(numbers)
is evaluated before the check in thetotal / len(numbers)
part. Ifnumbers
is an empty list,len(numbers)
would be 0, leading to aZeroDivisionError
during 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 emptynumbers
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. - Improved Efficiency and Readability: Replaced the explicit
for
loop 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.