Welcome to an exciting exploration of two fundamental data structures: Stacks and Queues! Remember, data structures store and organize data in a manner that is structured and efficient. Stacks and Queues are akin to stacking plates and standing in a line, respectively. Intriguing, isn't it? Let's dive in!
ArrayDeque
(Double-Ended Queue) is a versatile data structure that combines the features of both Stack and Queue. It provides efficient methods for adding and removing elements from both ends of the collection:
- Stack Operations:
addLast()
: Adds an element to the end (top of stack)removeLast()
: Removes and returns the last element (top of stack)
- Queue Operations:
addLast()
: Adds an element to the end of queueremoveFirst()
: Removes and returns the first element
Additional useful methods include:
isEmpty()
: Checks if the collection is emptysize
: Returns the number of elementsfirst()
: Views the first element without removing itlast()
: Views the last element without removing it
A Stack adheres to the "Last In, First Out" or LIFO principle. It's like a pile of plates where the last plate added is the first one to be removed. Kotlin uses ArrayList
to create a stack, with add()
used for push
, and removeAt(size - 1)
used for pop
.
A Stack adheres to the "Last In, First Out" or LIFO principle. Let's explore this using a pile of plates:
Kotlin1class StackOfPlates { 2 private val stack = ArrayDeque<String>() 3 4 // Inserts a plate at the top of the stack 5 fun addPlate(plate: String) { 6 stack.addLast(plate) // Using addLast() to push onto stack 7 } 8 9 // Removes the top plate from the stack 10 fun removePlate(): String { 11 if (stack.isEmpty()) { 12 return "No plates left to remove!" 13 } 14 return stack.removeLast() // Using removeLast() to pop from stack 15 } 16} 17 18// Create a stack of plates 19fun main() { 20 val plates = StackOfPlates() 21 plates.addPlate("Plate") // Pushing a plate 22 plates.addPlate("Another Plate") // Pushing another plate 23 // Let's remove a plate; it should be the last one we added. 24 println("Removed: ${plates.removePlate()}") // Outputs: Removed: Another Plate 25}
In this implementation:
- We use
ArrayDeque
to store our plates addPlate()
usesaddLast()
to push a plate onto the top of the stackremovePlate()
usesremoveLast()
to pop the top plate off the stack- We check for empty stack to prevent errors
- The main function demonstrates how the last plate added is the first one removed (LIFO principle)
A Queue represents the "First In, First Out" or FIFO principle, much like waiting in line at the grocery store. In Kotlin, ArrayDeque
provides efficient implementation of queues with addLast()
for enqueue and removeFirst()
for dequeue operations.
Let's examine this through a queue of people:
Kotlin1class QueueOfPeople { 2 private val queue = ArrayDeque<String>() 3 4 // Add a person to the end of the queue 5 fun enqueuePerson(person: String) { 6 queue.addLast(person) // Using addLast() to add to end of queue 7 } 8 9 // Remove the first person from the queue (who has been waiting the longest) 10 fun dequeuePerson(): String { 11 if (queue.isEmpty()) { 12 return "No people left to dequeue!" 13 } 14 return queue.removeFirst() // Using removeFirst() to remove from front of queue 15 } 16} 17 18// Create a queue of people 19fun main() { 20 val people = QueueOfPeople() 21 people.enqueuePerson("Person 1") // Person 1 enters the queue 22 people.enqueuePerson("Person 2") // Person 2 arrives after Person 1 23 // Who's next in line? It must be Person 1! 24 println("Removed: ${people.dequeuePerson()}") // Outputs: Removed: Person 1 25}
In this implementation:
- We use
ArrayDeque
to store our queue of people enqueuePerson()
usesaddLast()
to add a person to the end of the queuedequeuePerson()
usesremoveFirst()
to remove the person at the front of the queue- We check for empty queue to prevent errors
- The main function demonstrates how the first person added (Person 1) is the first one removed (FIFO principle)
The ArrayDeque
implementation provides efficient O(1) operations for both adding and removing elements, making it an excellent choice for queue operations.
Stacks handle ordered data efficiently, much like your web browser's history. Queues, on the other hand, are optimal when the order of arrival is essential, such as in a store queue.
Let's depict the two structures in a text editor that features an Undo mechanism (a Stack) and a Print Queue.
Kotlin1class TextEditor { 2 private val stack = ArrayDeque<String>() // For undo operations 3 private val queue = ArrayDeque<String>() // For print queue 4 5 // Make a change (e.g., edit text, insert image, change font) 6 fun makeChange(action: String) { 7 stack.addLast(action) // Add to the stack of actions 8 } 9 10 // Undo the most recent change 11 fun undoChange(): String { 12 if (stack.isEmpty()) { 13 return "No changes to undo!" 14 } 15 return stack.removeLast() // Remove the last action from the stack 16 } 17 18 // Add a document to the queue for printing 19 fun addToPrint(doc: String) { 20 queue.addLast(doc) // Add to the end of print queue 21 } 22 23 // Print the document that has been waiting the longest 24 fun printDoc(): String { 25 if (queue.isEmpty()) { 26 return "No documents in print queue!" 27 } 28 return queue.removeFirst() // Remove the first document from the queue 29 } 30} 31 32// Use our text editor! 33fun main() { 34 val editor = TextEditor() 35 editor.makeChange("Changed font size") // Make a change 36 editor.makeChange("Inserted image") // Make another change 37 // Let's undo a change. It should be the last change we made. 38 println("Undo: ${editor.undoChange()}") // Undo: Inserted image 39 40 editor.addToPrint("Proposal.docx") // Queue a document for printing 41 editor.addToPrint("Report.xlsx") // Queue another document 42 // Let's print a document. It should be the document that has been waiting the longest. 43 println("Print: ${editor.printDoc()}") // Print: Proposal.docx 44}
This code reintroduces the concepts of a Stack (Undo feature) and Queue (Print queue) in the context of a real-life scenario.
Great work! You have examined the mechanics of Stacks and Queues, both integral data structures. Remember to practice what you've learned. Happy coding!