import unittest

def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)

class TestAddUser(unittest.TestCase):
    def setUp(self):
        """Reset users_db before each test"""
        import user_code
        user_code.users_db.clear()

    def test_successful_addition(self):
        """Checks that a new user is added to the database successfully"""
        import user_code
        try:
            result = user_code.add_user("Alice", 30)
            expected_output = "User Alice added successfully!"
            condition = result == expected_output
            failure_message = f"For input `('Alice', 30)`, expected `{expected_output}`, but got `{result}`."
        
        except AttributeError:
            condition = False
            failure_message = "The function `add_user` is not defined."
        
        _dynamic_test(self, condition, "The `add_user` function correctly adds a new user.", failure_message)

    def test_user_count_after_adding(self):
        """Checks that the number of users in the database is correct after adding a new user"""
        import user_code
        try:
            user_code.add_user("Alice", 30)
            condition = len(user_code.users_db) == 1
            failure_message = f"For input `('Alice', 30)`, expected 1 user in the `users_db`, but found {len(user_code.users_db)}."
        
        except AttributeError:
            condition = False
            failure_message = "The function `add_user` is not defined."
        
        _dynamic_test(self, condition, "The number of users in the `users_db` is correct after adding a user.", failure_message)

    def test_add_user_with_default_role_and_status(self):
        """Checks that a new user is added with the default role and status"""
        import user_code
        try:
            user_code.add_user("Alice", 30)
            new_user = user_code.users_db[0]
            condition = (new_user["role"] == "user" and new_user["status"] == "active")
            failure_message = f"For input `('Alice', 30)`, expected user data with default role and status, but got {new_user}."
        
        except AttributeError:
            condition = False
            failure_message = "The function `add_user` is not defined."
        except Exception:
            condition = False
            failure_message = "For input `('Alice', 30)`, expected user data with the default role and status, but the user was not found in `users_db`."
        
        _dynamic_test(self, condition, "The new user is added with default `role` and `status`.", failure_message)

    def test_successful_update(self):
        """Checks that an existing user's data is updated correctly"""
        import user_code
        try:
            user_code.add_user("Alice", 30)
            result = user_code.add_user("Alice", 31, role="admin", status="inactive")
            expected_output = "User Alice updated successfully!"
            condition = result == expected_output and user_code.users_db[0]["age"] == 31 and user_code.users_db[0]["role"] == "admin" and user_code.users_db[0]["status"] == "inactive"
            failure_message = f"For input ('Alice', 30), followed by ('Alice', 31, 'admin', 'inactive'), expected {expected_output} and user data update in users_db, but got {result}."
        
        except AttributeError:
            condition = False
            failure_message = "The function `add_user` is not defined."
        
        _dynamic_test(self, condition, "The `add_user` function correctly updates existing user data.", failure_message)

    def test_user_count_after_update(self):
        """Checks that the number of users in the database remains the same after updating an existing user"""
        import user_code
        try:
            user_code.add_user("Alice", 30)
            user_code.add_user("Alice", 31, role="admin", status="inactive")
            condition = len(user_code.users_db) == 1
            failure_message = f"For input ('Alice', 30), followed by ('Alice', 31, 'admin', 'inactive'), expected users_db to contain exactly 1 user, but found {len(user_code.users_db)}."
        
        except AttributeError:
            condition = False
            failure_message = "The function `add_user` is not defined."
        
        _dynamic_test(self, condition, "The number of users in the `users_db` remains the same after updating a user.", failure_message)
    
    def test_users_db_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'users_db'),
            "The `users_db` variable is declared.",
            "Expected `users_db` to be declared."
        )
if __name__ == '__main__':
    unittest.main()

test_main.py

You'll have a solid grasp of how important functions are in Python, no matter your field in computer science. We'll cover creating functions, defining arguments, handling return values, and exploring their use in Python.

We will consider what a function in Python and some basic techniques used to create functions is: what are the arguments of the function, what is the return value of the function, what is the body of the function, and how to use the function in the code.

Learn how to define functions in Python using positional and optional arguments. Master the flexibility of creating functions that adapt to different input scenarios.

Learn to work with arbitrary arguments and keyword arguments in Python to handle variable numbers of inputs. Understand how arbitrary arguments manage flexible positional inputs and how keyword arguments organize named arguments into a dictionary for efficient function design.

The return value of a function is the direct result of the execution of the function, which we can use in the program. There are several types of function return values - we will consider the most commonly used.

Explore the power of recursion and lambda functions in Python. Understand how recursion allows a function to call itself for solving complex problems, and how lambda functions provide a concise way to define anonymous functions for simple tasks.

Challenge: Optional Arguments

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Challenge: Optional Arguments

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