August 2023 to June 2024
View the Project on GitHub IshanCornick/new_student
def add_numbers(num1, num2):
"""
A simple function that adds two numbers.
"""
return num1 + num2
def test_add_numbers():
"""
Test function for add_numbers function.
"""
test_cases = [
((3, 5), 8), # Test case 1: Positive numbers
((-3, -5), -8), # Test case 2: Negative numbers
((0, 7), 7), # Test case 3: Zero and positive number
((0, -9), -9), # Test case 4: Zero and negative number
((2.5, 3.5), 6) # Test case 5: Float numbers
]
for args, expected_result in test_cases:
try:
result = add_numbers(*args)
if result == expected_result:
print(f"Test passed: {args} => {result}")
else:
print(f"Test failed: {args} => {result}, expected {expected_result}")
except Exception as e:
print(f"An error occurred during testing: {e}")
# Calling the tester function
test_add_numbers()
Test passed: (3, 5) => 8
Test passed: (-3, -5) => -8
Test passed: (0, 7) => 7
Test passed: (0, -9) => -9
Test passed: (2.5, 3.5) => 6.0
def calculate_factorial(n):
"""
Calculates the factorial of a non-negative integer n.
Args:
n (int): Non-negative integer.
Returns:
int: Factorial of n.
Raises:
ValueError: If n is negative.
"""
if n < 0:
raise ValueError("Input must be a non-negative integer")
if n == 0:
return 1
return n * calculate_factorial(n-1)
def test_factorial():
"""
Test the calculate_factorial function.
"""
test_cases = [
(0, 1),
(1, 1),
(5, 120),
(10, 3628800)
]
for input_value, expected_output in test_cases:
try:
result = calculate_factorial(input_value)
assert result == expected_output
print(f"Test passed for input {input_value}")
except AssertionError as e:
print(f"Test failed for input {input_value}: Expected {expected_output}, got {result}")
except ValueError as e:
print(f"Test failed (ValueError) for input {input_value}: {e}")
except Exception as e:
print(f"An unexpected error occurred: {e}")
# Run the test function
test_factorial()
Test passed for input 0
Test passed for input 1
Test passed for input 5
Test passed for input 10
def list_operations(numbers):
"""
Performs operations on a list of numbers.
Args:
numbers (list): List of numbers.
Returns:
dict: A dictionary with various computed values.
"""
if not isinstance(numbers, list):
raise TypeError("Input must be a list of numbers")
if not numbers:
raise ValueError("List cannot be empty")
# Calculate the sum of all numbers
total_sum = sum(numbers)
# Find the maximum and minimum values
max_value = max(numbers)
min_value = min(numbers)
# Calculate the mean
mean = total_sum / len(numbers)
# Calculate the variance
variance = sum((x - mean) ** 2 for x in numbers) / len(numbers)
# Calculate the standard deviation
std_deviation = variance ** 0.5
return {
'sum': total_sum,
'max': max_value,
'min': min_value,
'mean': mean,
'variance': variance,
'std_deviation': std_deviation
}
def complex_tester():
"""
Complex tester function for list_operations.
This function performs extensive testing on the list_operations function.
It includes various test cases to validate the behavior of the function.
Returns:
None
"""
test_cases = [
# Valid cases
([1, 2, 3, 4, 5], {'sum': 15, 'max': 5, 'min': 1, 'mean': 3.0, 'variance': 2.5, 'std_deviation': 1.5811388300841898}),
([0, 0, 0, 0, 0], {'sum': 0, 'max': 0, 'min': 0, 'mean': 0.0, 'variance': 0.0, 'std_deviation': 0.0}),
([-1, -2, -3, -4, -5], {'sum': -15, 'max': -1, 'min': -5, 'mean': -3.0, 'variance': 2.5, 'std_deviation': 1.5811388300841898}),
([10, 20, 30, 40, 50], {'sum': 150, 'max': 50, 'min': 10, 'mean': 30.0, 'variance': 250.0, 'std_deviation': 15.811388300841896}),
# Edge cases
([], ValueError), # Empty list should raise ValueError
(5, TypeError) # Non-list input should raise TypeError
]
for input_data, expected_output in test_cases:
try:
if expected_output == TypeError:
# This is an edge case where we expect a TypeError
list_operations(input_data)
print(f"Test failed for input {input_data}: Expected TypeError, but no error was raised.")
elif expected_output == ValueError:
# This is an edge case where we expect a ValueError
list_operations(input_data)
print(f"Test failed for input {input_data}: Expected ValueError, but no error was raised.")
else:
# Normal test case
result = list_operations(input_data)
assert result == expected_output
print(f"Test passed for input {input_data}")
except Exception as e:
print(f"An unexpected error occurred for input {input_data}: {e}")
# Run the complex tester function
complex_tester()
An unexpected error occurred for input [1, 2, 3, 4, 5]:
Test passed for input [0, 0, 0, 0, 0]
An unexpected error occurred for input [-1, -2, -3, -4, -5]:
An unexpected error occurred for input [10, 20, 30, 40, 50]:
An unexpected error occurred for input []: List cannot be empty
An unexpected error occurred for input 5: Input must be a list of numbers
def add_numbers(num1, num2):
"""
A simple function that adds two numbers.
"""
return num1 + num2
def test_add_numbers():
"""
Test function for add_numbers function.
"""
test_cases = [
((3, 5), 8), # Test case 1: Positive numbers
((-3, -5), -8), # Test case 2: Negative numbers
((0, 7), 7), # Test case 3: Zero and positive number
((0, -9), -9), # Test case 4: Zero and negative number
((2.5, 3.5), 6) # Test case 5: Float numbers
]
for args, expected_result in test_cases:
try:
result = add_numbers(*args)
if result == expected_result:
print(f"Test passed: {args} => {result}")
else:
print(f"Test failed: {args} => {result}, expected {expected_result}")
except Exception as e:
print(f"An error occurred during testing: {e}")
# Calling the tester function
test_add_numbers()
Test passed: (3, 5) => 8
Test passed: (-3, -5) => -8
Test passed: (0, 7) => 7
Test passed: (0, -9) => -9
Test passed: (2.5, 3.5) => 6.0
def calculate_factorial(n):
"""
Calculates the factorial of a non-negative integer n.
Args:
n (int): Non-negative integer.
Returns:
int: Factorial of n.
Raises:
ValueError: If n is negative.
"""
if n < 0:
raise ValueError("Input must be a non-negative integer")
if n == 0:
return 1
return n * calculate_factorial(n-1)
def test_factorial():
"""
Test the calculate_factorial function.
"""
test_cases = [
(0, 1),
(1, 1),
(5, 120),
(10, 3628800)
]
for input_value, expected_output in test_cases:
try:
result = calculate_factorial(input_value)
assert result == expected_output
print(f"Test passed for input {input_value}")
except AssertionError as e:
print(f"Test failed for input {input_value}: Expected {expected_output}, got {result}")
except ValueError as e:
print(f"Test failed (ValueError) for input {input_value}: {e}")
except Exception as e:
print(f"An unexpected error occurred: {e}")
# Run the test function
test_factorial()
Test passed for input 0
Test passed for input 1
Test passed for input 5
Test passed for input 10
def list_operations(numbers):
"""
Performs operations on a list of numbers.
Args:
numbers (list): List of numbers.
Returns:
dict: A dictionary with various computed values.
"""
if not isinstance(numbers, list):
raise TypeError("Input must be a list of numbers")
if not numbers:
raise ValueError("List cannot be empty")
# Calculate the sum of all numbers
total_sum = sum(numbers)
# Find the maximum and minimum values
max_value = max(numbers)
min_value = min(numbers)
# Calculate the mean
mean = total_sum / len(numbers)
# Calculate the variance
variance = sum((x - mean) ** 2 for x in numbers) / len(numbers)
# Calculate the standard deviation
std_deviation = variance ** 0.5
return {
'sum': total_sum,
'max': max_value,
'min': min_value,
'mean': mean,
'variance': variance,
'std_deviation': std_deviation
}
def complex_tester():
"""
Complex tester function for list_operations.
This function performs extensive testing on the list_operations function.
It includes various test cases to validate the behavior of the function.
Returns:
None
"""
test_cases = [
# Valid cases
([1, 2, 3, 4, 5], {'sum': 15, 'max': 5, 'min': 1, 'mean': 3.0, 'variance': 2.5, 'std_deviation': 1.5811388300841898}),
([0, 0, 0, 0, 0], {'sum': 0, 'max': 0, 'min': 0, 'mean': 0.0, 'variance': 0.0, 'std_deviation': 0.0}),
([-1, -2, -3, -4, -5], {'sum': -15, 'max': -1, 'min': -5, 'mean': -3.0, 'variance': 2.5, 'std_deviation': 1.5811388300841898}),
([10, 20, 30, 40, 50], {'sum': 150, 'max': 50, 'min': 10, 'mean': 30.0, 'variance': 250.0, 'std_deviation': 15.811388300841896}),
# Edge cases
([], ValueError), # Empty list should raise ValueError
(5, TypeError) # Non-list input should raise TypeError
]
for input_data, expected_output in test_cases:
try:
if expected_output == TypeError:
# This is an edge case where we expect a TypeError
list_operations(input_data)
print(f"Test failed for input {input_data}: Expected TypeError, but no error was raised.")
elif expected_output == ValueError:
# This is an edge case where we expect a ValueError
list_operations(input_data)
print(f"Test failed for input {input_data}: Expected ValueError, but no error was raised.")
else:
# Normal test case
result = list_operations(input_data)
assert result == expected_output
print(f"Test passed for input {input_data}")
except Exception as e:
print(f"An unexpected error occurred for input {input_data}: {e}")
# Run the complex tester function
complex_tester()
An unexpected error occurred for input [1, 2, 3, 4, 5]:
Test passed for input [0, 0, 0, 0, 0]
An unexpected error occurred for input [-1, -2, -3, -4, -5]:
An unexpected error occurred for input [10, 20, 30, 40, 50]:
An unexpected error occurred for input []: List cannot be empty
An unexpected error occurred for input 5: Input must be a list of numbers