Dictionaries also have a `popitem()` method that removes and returns the last key-value pair. 

book = {
    "title": "Pride and Prejudice",
    "author": "Jane Austen",
    "year": 1813,
    "genre": "Romance"
}

# Removing the last key-value pair using popitem()
popped_item = book.popitem()

# Printing the updated dictionary and the removed pair
print("Removed item:", popped_item)
print("Updated dictionary:", book)

import unittest
import importlib

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 TestUserCode(unittest.TestCase):

    def test_authors_books_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'authors_books'),
            "The `authors_books` dictionary is declared.",
            "Expected `authors_books` to be declared."
        )

    def test_authors_books_is_dict(self):
        import user_code
        _dynamic_test(
            self,
            isinstance(user_code.authors_books, dict),
            "The `authors_books` is of type `dict`.",
            "Expected `authors_books` to be of type `dict`."
        )

    def test_removed_element_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'removed_element'),
            "The `removed_element` variable is declared.",
            "Expected `removed_element` to be declared."
        )

    def test_removed_element_was_last(self):
        import user_code
        expected_last_key = 'Agatha Christie'
        _dynamic_test(
            self,
            isinstance(user_code.removed_element, tuple) and user_code.removed_element[0] == expected_last_key,
            "The last element was correctly removed using `popitem()`.",
            "Expected only the last element to be removed using `popitem()`"
        )

    def test_mark_twain_is_added(self):
        import user_code
        expected_books = [
            'The Adventures of Tom Sawyer',
            'Adventures of Huckleberry Finn',
            'The Prince and the Pauper'
        ]
        _dynamic_test(
            self,
            'Mark Twain' in user_code.authors_books and user_code.authors_books['Mark Twain'] == expected_books,
            "The `Mark Twain` entry was added correctly.",
            "Expected `Mark Twain` to be in `authors_books` with the correct book list."
        )

    def test_other_authors_exist(self):
        import user_code
        expected_authors = {
            'William Shakespeare', 'J.K. Rowling', 'George Orwell', 'Stephen King'
        }
        _dynamic_test(
            self,
            expected_authors.issubset(set(user_code.authors_books.keys())),
            "Other authors are still present in `authors_books`.",
            "Some expected authors are missing from `authors_books`."
        )

    def test_popitem_method_used(self):
        with open('user_code.py', 'r') as file:
            user_code_source = file.read()
        _dynamic_test(
            self,
            "popitem()" in user_code_source,
            "The `popitem()` method is used to remove the last element.",
            "Expected the `popitem()` method to be used to remove the last element."
        )

if __name__ == '__main__':
    unittest.main()

test_main.py

In this course, you'll get to know the fundamental data structures of the Python programming language. We'll explore utilizing Python's native data structures like lists, dictionaries, tuples, and sets to tackle different challenges.

What is a list? A list is an ordered collection that can be modified. It also allows for duplicate elements.

What is a dictionary? A dictionary is an ordered collection that can be changed, but it doesn't allow duplicate entries. It consists of `key:value` pairs, which are used to optimize its structure.

What is a tuple? A tuple is an ordered collection that cannot be altered. It can have duplicate elements. While it's similar to a list, the values in a tuple can be of any type and are indexed by integers. Although not mandatory, it's common to enclose the values of a tuple in parentheses, making them easier to understand in Python.

What is a set? In Python, a `set` is an unordered collection that is both `iterable` and `mutable`, with no repeated elements. While the order of items in a set isn't fixed, it can include a variety of elements. A key benefit of using sets over lists is their highly efficient method for determining if an element exists within the set.

Using the popitem() Method: Removing the Last Inserted Item

Solution

Using the popitem() Method: Removing the Last Inserted Item

Solution