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test: folder with error file for code review and pr description #57

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test: folder with error file for code review and pr description #57

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87 changes: 87 additions & 0 deletions test/erroneous_code_test.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,87 @@
import time
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🔍 AI Code Review (Powered by Amazon Bedrock)

Here are my review comments on the code change:

1-87:
Avoid inefficient algorithms and unnecessary computations.

  • The calculate_factorial function uses a recursive approach, which can lead to a stack overflow for large inputs (line 5-8).
  • The find_largest_number function iterates through the entire list, even after finding the largest number (line 11-16).
  • The inefficient_sort function uses the bubble sort algorithm, which has a time complexity of O(n^2) and is inefficient for large lists (line 18-23).
  • The generate_random_numbers function generates a large number of random numbers, which can be computationally expensive and potentially unnecessary (line 46-50).
def calculate_factorial(n):
    result = 1
    for i in range(1, n+1):
        result *= i
    return result

def find_largest_number(numbers):
    largest = float('-inf')
    for num in numbers:
        largest = max(largest, num)
    return largest

def sort_list(arr):
    return sorted(arr)

27-30:
Use consistent naming conventions.

The User class follows a different naming convention (PascalCase) compared to the other functions (snake_case). Consider using a consistent naming convention throughout the codebase for better readability and maintainability.

39-43:
Simplify conditional logic.

The process_data function can be simplified using a ternary operator or a list comprehension, which can make the code more concise and readable.

def process_data(data):
    return [item * 2 if item % 2 == 0 else item * 3 for item in data]

55-55:
Handle edge cases and potential exceptions.

The calculate_average function does not handle the case where the input list is empty, which can lead to a ZeroDivisionError. Consider adding a check for the empty list case or raising an appropriate exception.

def calculate_average(numbers):
    if not numbers:
        return 0  # or raise an exception
    total = sum(numbers)
    count = len(numbers)
    average = total / count
    return average

83-83:
Avoid unnecessary delays.

The time.sleep(5) statement introduces an unnecessary delay of 5 seconds, which can negatively impact the performance and responsiveness of the application. Consider removing this delay or replacing it with a more appropriate mechanism if needed.

import random

def calculate_factorial(n):
if n == 0:
return 1
else:
return n * calculate_factorial(n - 1)

def find_largest_number(numbers):
largest = numbers[0]
for num in numbers:
if num > largest:
largest = num
return largest

def inefficient_sort(arr):
n = len(arr)
for i in range(n):
for j in range(0, n-i-1):
if arr[j] > arr[j+1]:
arr[j], arr[j+1] = arr[j+1], arr[j]
return arr

class User:
def __init__(self, name, age):
self.name = name
self.age = age

def print_user_info(self):
print(f"Name: {self.name}, Age: {self.age}")

def process_data(data):
result = []
for item in data:
if item % 2 == 0:
result.append(item * 2)
else:
result.append(item * 3)
return result

def generate_random_numbers(n):
numbers = []
for i in range(n):
numbers.append(random.randint(1, 100))
return numbers

def calculate_average(numbers):
total = sum(numbers)
count = len(numbers)
average = total / count
return average

def main():
# Inefficient factorial calculation
print(calculate_factorial(20))

# Unnecessary loop for finding largest number
numbers = [3, 7, 2, 9, 1, 5]
print(find_largest_number(numbers))

# Inefficient sorting algorithm
unsorted_list = [64, 34, 25, 12, 22, 11, 90]
print(inefficient_sort(unsorted_list))

# Inconsistent naming convention
user1 = User("John Doe", 30)
user1.print_user_info()

# Redundant if-else structure
data = [1, 2, 3, 4, 5]
print(process_data(data))

# Inefficient random number generation
random_numbers = generate_random_numbers(1000000)
print(f"Generated {len(random_numbers)} random numbers")

# Potential division by zero
empty_list = []
print(calculate_average(empty_list))

# Unnecessary time delay
time.sleep(5)
print("Finished processing after 5 seconds")

if __name__ == "__main__":
main()
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