Welcome to the practical segment of our JavaScript programming journey! Today, we're applying the knowledge from past lessons to solve two practice problems using advanced JavaScript data structures: queues, deques, and binary search trees with custom class keys.

Consider an event-driven system, like a restaurant. Orders arrive, and they must be handled in the order they were received, following the First In, First Out (FIFO) principle. This principle makes it a perfect scenario for a queue or deque implementation in JavaScript.

This code demonstrates the creation and operation of a Queue class, which leverages JavaScript arrays to efficiently implement a queue. The Queue class includes methods to enqueue (add) an item, dequeue (remove) an item, check if the queue is empty, and return the queue's size. Enqueue operations add an item to the beginning of the array (simulating the arrival of a new order), while dequeue operations remove an item from the end (simulating the serving of an order), maintaining the First In, First Out (FIFO) principle.

We've mimicked a real-world system by implementing a queue using JavaScript arrays. The enqueuing of an item taps into the FIFO principle, similar to the action of receiving a new order at the restaurant. The dequeuing serves an order, reflecting the preparation and delivery of the order.

For the second problem, envision a leaderboard for a video game. Players with their scores can be represented as objects of a custom class, then stored in a binary search tree (BST) for easy and efficient access using the @datastructures-js/binary-search-tree library.

Here is the new solution using a BST:

This code snippet introduces a Player class for representing players in a video game, incorporating a custom comparator function to allow sorting by score (primary) and name (secondary). Instances of this class are then stored in a custom Leaderboard class using a binary search tree (BST) from the @datastructures-js/binary-search-tree library. The BST ensures that players are stored in sorted order based on their scores and names. This essential for functionalities like leaderboards, where players need to be ranked efficiently according to their performance.

In our leaderboard system, we used a Player custom class with a comparator method for sorting. We stored instances of Player in a binary search tree (BST) with their corresponding scores. The BST allows us to access player scores in a sorted order efficiently, a common requirement in a competitive gaming system.

By practicing with these real-world examples, you'll solidify your understanding of these fundamental techniques and prepare for more advanced exercises.

We've successfully employed JavaScript’s built-in data structures — queues or deques, and binary search trees — to solve real-world problems. This hands-on approach enables us to better understand these concepts. More exercises to cement your understanding are coming up next. Happy coding!