在JavaScript中实现堆栈和队列的最佳方法是什么?
我想做调车场算法我需要这些数据结构。
在JavaScript中实现堆栈和队列的最佳方法是什么?
我想做调车场算法我需要这些数据结构。
当前回答
如果你正在寻找带有一些基本操作(基于链表)的堆栈和队列数据结构的ES6 OOP实现,那么它可能是这样的:
Queue.js
import LinkedList from '../linked-list/LinkedList';
export default class Queue {
constructor() {
this.linkedList = new LinkedList();
}
isEmpty() {
return !this.linkedList.tail;
}
peek() {
if (!this.linkedList.head) {
return null;
}
return this.linkedList.head.value;
}
enqueue(value) {
this.linkedList.append(value);
}
dequeue() {
const removedHead = this.linkedList.deleteHead();
return removedHead ? removedHead.value : null;
}
toString(callback) {
return this.linkedList.toString(callback);
}
}
Stack.js
import LinkedList from '../linked-list/LinkedList';
export default class Stack {
constructor() {
this.linkedList = new LinkedList();
}
/**
* @return {boolean}
*/
isEmpty() {
return !this.linkedList.tail;
}
/**
* @return {*}
*/
peek() {
if (!this.linkedList.tail) {
return null;
}
return this.linkedList.tail.value;
}
/**
* @param {*} value
*/
push(value) {
this.linkedList.append(value);
}
/**
* @return {*}
*/
pop() {
const removedTail = this.linkedList.deleteTail();
return removedTail ? removedTail.value : null;
}
/**
* @return {*[]}
*/
toArray() {
return this.linkedList
.toArray()
.map(linkedListNode => linkedListNode.value)
.reverse();
}
/**
* @param {function} [callback]
* @return {string}
*/
toString(callback) {
return this.linkedList.toString(callback);
}
}
上面例子中用于堆栈和队列的LinkedList实现可以在GitHub上找到。
其他回答
或者可以使用两个数组来实现队列数据结构。
var temp_stack = new Array();
var stack = new Array();
temp_stack.push(1);
temp_stack.push(2);
temp_stack.push(3);
如果我现在弹出元素,那么输出将是3 2 1。 但我们想先进先出结构,所以你可以做以下。
stack.push(temp_stack.pop());
stack.push(temp_stack.pop());
stack.push(temp_stack.pop());
stack.pop(); //Pop out 1
stack.pop(); //Pop out 2
stack.pop(); //Pop out 3
下面是一个相当简单的队列实现,有两个目标:
与array.shift()不同,您知道这个出队列方法需要常数时间(O(1))。 为了提高速度,这种方法使用的分配比链表方法少得多。
堆栈实现只共享第二个目标。
// Queue
function Queue() {
this.q = new Array(5);
this.first = 0;
this.size = 0;
}
Queue.prototype.enqueue = function(a) {
var other;
if (this.size == this.q.length) {
other = new Array(this.size*2);
for (var i = 0; i < this.size; i++) {
other[i] = this.q[(this.first+i)%this.size];
}
this.first = 0;
this.q = other;
}
this.q[(this.first+this.size)%this.q.length] = a;
this.size++;
};
Queue.prototype.dequeue = function() {
if (this.size == 0) return undefined;
this.size--;
var ret = this.q[this.first];
this.first = (this.first+1)%this.q.length;
return ret;
};
Queue.prototype.peek = function() { return this.size > 0 ? this.q[this.first] : undefined; };
Queue.prototype.isEmpty = function() { return this.size == 0; };
// Stack
function Stack() {
this.s = new Array(5);
this.size = 0;
}
Stack.prototype.push = function(a) {
var other;
if (this.size == this.s.length) {
other = new Array(this.s.length*2);
for (var i = 0; i < this.s.length; i++) other[i] = this.s[i];
this.s = other;
}
this.s[this.size++] = a;
};
Stack.prototype.pop = function() {
if (this.size == 0) return undefined;
return this.s[--this.size];
};
Stack.prototype.peek = function() { return this.size > 0 ? this.s[this.size-1] : undefined; };
在我看来,内建数组对于堆栈来说是很好的。如果你想在TypeScript中使用Queue,这里有一个实现
/**
* A Typescript implementation of a queue.
*/
export default class Queue {
private queue = [];
private offset = 0;
constructor(array = []) {
// Init the queue using the contents of the array
for (const item of array) {
this.enqueue(item);
}
}
/**
* @returns {number} the length of the queue.
*/
public getLength(): number {
return (this.queue.length - this.offset);
}
/**
* @returns {boolean} true if the queue is empty, and false otherwise.
*/
public isEmpty(): boolean {
return (this.queue.length === 0);
}
/**
* Enqueues the specified item.
*
* @param item - the item to enqueue
*/
public enqueue(item) {
this.queue.push(item);
}
/**
* Dequeues an item and returns it. If the queue is empty, the value
* {@code null} is returned.
*
* @returns {any}
*/
public dequeue(): any {
// if the queue is empty, return immediately
if (this.queue.length === 0) {
return null;
}
// store the item at the front of the queue
const item = this.queue[this.offset];
// increment the offset and remove the free space if necessary
if (++this.offset * 2 >= this.queue.length) {
this.queue = this.queue.slice(this.offset);
this.offset = 0;
}
// return the dequeued item
return item;
};
/**
* Returns the item at the front of the queue (without dequeuing it).
* If the queue is empty then {@code null} is returned.
*
* @returns {any}
*/
public peek(): any {
return (this.queue.length > 0 ? this.queue[this.offset] : null);
}
}
这里有一个笑话测试
it('Queue', () => {
const queue = new Queue();
expect(queue.getLength()).toBe(0);
expect(queue.peek()).toBeNull();
expect(queue.dequeue()).toBeNull();
queue.enqueue(1);
expect(queue.getLength()).toBe(1);
queue.enqueue(2);
expect(queue.getLength()).toBe(2);
queue.enqueue(3);
expect(queue.getLength()).toBe(3);
expect(queue.peek()).toBe(1);
expect(queue.getLength()).toBe(3);
expect(queue.dequeue()).toBe(1);
expect(queue.getLength()).toBe(2);
expect(queue.peek()).toBe(2);
expect(queue.getLength()).toBe(2);
expect(queue.dequeue()).toBe(2);
expect(queue.getLength()).toBe(1);
expect(queue.peek()).toBe(3);
expect(queue.getLength()).toBe(1);
expect(queue.dequeue()).toBe(3);
expect(queue.getLength()).toBe(0);
expect(queue.peek()).toBeNull();
expect(queue.dequeue()).toBeNull();
});
希望有人觉得这有用,
欢呼,
Stu
Create a pair of classes that provide the various methods that each of these data structures has (push, pop, peek, etc). Now implement the methods. If you're familiar with the concepts behind stack/queue, this should be pretty straightforward. You can implement the stack with an array, and a queue with a linked list, although there are certainly other ways to go about it. Javascript will make this easy, because it is weakly typed, so you don't even have to worry about generic types, which you'd have to do if you were implementing it in Java or C#.
Javascript数组shift()很慢,特别是当包含很多元素时。我知道两种方法来实现平摊O(1)复杂度的队列。
首先是使用循环缓冲区和表加倍。我以前实现过这个。你可以在这里看到我的源代码 https://github.com/kevyuu/rapid-queue
第二种方法是使用两个堆栈。这是带有两个堆栈的队列的代码
function createDoubleStackQueue() {
var that = {};
var pushContainer = [];
var popContainer = [];
function moveElementToPopContainer() {
while (pushContainer.length !==0 ) {
var element = pushContainer.pop();
popContainer.push(element);
}
}
that.push = function(element) {
pushContainer.push(element);
};
that.shift = function() {
if (popContainer.length === 0) {
moveElementToPopContainer();
}
if (popContainer.length === 0) {
return null;
} else {
return popContainer.pop();
}
};
that.front = function() {
if (popContainer.length === 0) {
moveElementToPopContainer();
}
if (popContainer.length === 0) {
return null;
}
return popContainer[popContainer.length - 1];
};
that.length = function() {
return pushContainer.length + popContainer.length;
};
that.isEmpty = function() {
return (pushContainer.length + popContainer.length) === 0;
};
return that;}
这是使用jsPerf进行的性能比较
CircularQueue.shift() vs Array.shift()
http://jsperf.com/rapidqueue-shift-vs-array-shift
正如你所看到的,大数据集的速度要快得多