如何在JavaScript中实现堆栈和队列？

在JavaScript中实现堆栈和队列的最佳方法是什么？

我正在寻找shunting-yard算法，并且我将需要这些数据结构。

var stack = [];
stack.push(2);       // stack is now [2]
stack.push(5);       // stack is now [2, 5]
var i = stack.pop(); // stack is now [2]
alert(i);            // displays 5

var queue = [];
queue.push(2);         // queue is now [2]
queue.push(5);         // queue is now [2, 5]
var i = queue.shift(); // queue is now [5]
alert(i);              // displays 2

摘自“ 您可能不知道的9条JavaScript技巧 ”

Javascript具有push和pop方法，可对普通Javascript数组对象进行操作。

对于队列，请看这里：

http://safalra.com/web-design/javascript/queues/

可以使用数组对象的push和shift方法或unshift和pop方法在JavaScript中实现队列。尽管这是实现队列的一种简单方法，但对于大型队列而言效率非常低-由于这些方法在数组上运行，因此shift和unshift方法每次调用时都会移动数组中的每个元素。

Queue.js是JavaScript的一种简单高效的队列实现，其出队功能以固定的固定时间运行。结果，对于更大的队列，它可能比使用数组快得多。

数组。

堆：

var stack = [];

//put value on top of stack
stack.push(1);

//remove value from top of stack
var value = stack.pop();

队列：

var queue = [];

//put value on end of queue
queue.push(1);

//Take first value from queue
var value = queue.shift();

如果您想建立自己的数据结构，则可以建立自己的数据结构：

var Stack = function(){
  this.top = null;
  this.size = 0;
};

var Node = function(data){
  this.data = data;
  this.previous = null;
};

Stack.prototype.push = function(data) {
  var node = new Node(data);

  node.previous = this.top;
  this.top = node;
  this.size += 1;
  return this.top;
};

Stack.prototype.pop = function() {
  temp = this.top;
  this.top = this.top.previous;
  this.size -= 1;
  return temp;
};

对于队列：

var Queue = function() {
  this.first = null;
  this.size = 0;
};

var Node = function(data) {
  this.data = data;
  this.next = null;
};

Queue.prototype.enqueue = function(data) {
  var node = new Node(data);

  if (!this.first){
    this.first = node;
  } else {
    n = this.first;
    while (n.next) {
      n = n.next;
    }
    n.next = node;
  }

  this.size += 1;
  return node;
};

Queue.prototype.dequeue = function() {
  temp = this.first;
  this.first = this.first.next;
  this.size -= 1;
  return temp;
};

我的实现Stack和Queue使用Linked List

// Linked List
function Node(data) {
  this.data = data;
  this.next = null;
}

// Stack implemented using LinkedList
function Stack() {
  this.top = null;
}

Stack.prototype.push = function(data) {
  var newNode = new Node(data);

  newNode.next = this.top; //Special attention
  this.top = newNode;
}

Stack.prototype.pop = function() {
  if (this.top !== null) {
    var topItem = this.top.data;
    this.top = this.top.next;
    return topItem;
  }
  return null;
}

Stack.prototype.print = function() {
  var curr = this.top;
  while (curr) {
    console.log(curr.data);
    curr = curr.next;
  }
}

// var stack = new Stack();
// stack.push(3);
// stack.push(5);
// stack.push(7);
// stack.print();

// Queue implemented using LinkedList
function Queue() {
  this.head = null;
  this.tail = null;
}

Queue.prototype.enqueue = function(data) {
  var newNode = new Node(data);

  if (this.head === null) {
    this.head = newNode;
    this.tail = newNode;
  } else {
    this.tail.next = newNode;
    this.tail = newNode;
  }
}

Queue.prototype.dequeue = function() {
  var newNode;
  if (this.head !== null) {
    newNode = this.head.data;
    this.head = this.head.next;
  }
  return newNode;
}

Queue.prototype.print = function() {
  var curr = this.head;
  while (curr) {
    console.log(curr.data);
    curr = curr.next;
  }
}

var queue = new Queue();
queue.enqueue(3);
queue.enqueue(5);
queue.enqueue(7);
queue.print();
queue.dequeue();
queue.dequeue();
queue.print();

Javascript数组shift（）速度很慢，尤其是在包含许多元素时。我知道两种实现摊销O（1）复杂度的队列的方法。

首先是使用循环缓冲区和表加倍。我以前已经实现了。您可以在这里查看我的源代码 https://github.com/kevyuu/rapid-queue

第二种方法是使用两个堆栈。这是两个堆栈队列的代码

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（）与Array.shift（）

http://jsperf.com/rapidqueue-shift-vs-array-shift

如您所见，使用大型数据集，速度明显加快

您可以通过多种方式在Javascript中实现堆栈和队列。上面的大多数答案都是相当浅薄的实现，我将尝试实现一些更具可读性的功能（使用es6的新语法功能）并且更可靠。

这是堆栈实现：

class Stack {
  constructor(...items){
    this._items = []

    if(items.length>0)
      items.forEach(item => this._items.push(item) )

  }

  push(...items){
    //push item to the stack
     items.forEach(item => this._items.push(item) )
     return this._items;

  }

  pop(count=0){
    //pull out the topmost item (last item) from stack
    if(count===0)
      return this._items.pop()
     else
       return this._items.splice( -count, count )
  }

  peek(){
    // see what's the last item in stack
    return this._items[this._items.length-1]
  }

  size(){
    //no. of items in stack
    return this._items.length
  }

  isEmpty(){
    // return whether the stack is empty or not
    return this._items.length==0
  }

  toArray(){
    return this._items;
  }
}

这就是您可以使用堆栈的方式：

let my_stack = new Stack(1,24,4);
// [1, 24, 4]
my_stack.push(23)
//[1, 24, 4, 23]
my_stack.push(1,2,342);
//[1, 24, 4, 23, 1, 2, 342]
my_stack.pop();
//[1, 24, 4, 23, 1, 2]
my_stack.pop(3)
//[1, 24, 4]
my_stack.isEmpty()
// false
my_stack.size();
//3

如果您想查看有关此实现以及如何进一步改进的详细说明，请阅读此处：http : //jschap.com/data-structures-in-javascript-stack/

这是es6中队列实现的代码：

class Queue{
 constructor(...items){
   //initialize the items in queue
   this._items = []
   // enqueuing the items passed to the constructor
   this.enqueue(...items)
 }

  enqueue(...items){
    //push items into the queue
    items.forEach( item => this._items.push(item) )
    return this._items;
  }

  dequeue(count=1){
    //pull out the first item from the queue
    this._items.splice(0,count);
    return this._items;
  }

  peek(){
    //peek at the first item from the queue
    return this._items[0]
  }

  size(){
    //get the length of queue
    return this._items.length
  }

  isEmpty(){
    //find whether the queue is empty or no
    return this._items.length===0
  }
}

这是使用此实现的方法：

let my_queue = new Queue(1,24,4);
// [1, 24, 4]
my_queue.enqueue(23)
//[1, 24, 4, 23]
my_queue.enqueue(1,2,342);
//[1, 24, 4, 23, 1, 2, 342]
my_queue.dequeue();
//[24, 4, 23, 1, 2, 342]
my_queue.dequeue(3)
//[1, 2, 342]
my_queue.isEmpty()
// false
my_queue.size();
//3

要完成有关如何实现这些数据结构以及如何进一步改进这些数据的完整教程，您可能需要遍历jschap.com的“使用javascript处理数据结构”系列。这是队列的链接-http: //jschap.com/playing-data-structures-javascript-queues/

您可以根据此概念使用自己的自定义类，这里是您可以用来完成工作的代码段

/*
*   Stack implementation in JavaScript
*/



function Stack() {
  this.top = null;
  this.count = 0;

  this.getCount = function() {
    return this.count;
  }

  this.getTop = function() {
    return this.top;
  }

  this.push = function(data) {
    var node = {
      data: data,
      next: null
    }

    node.next = this.top;
    this.top = node;

    this.count++;
  }

  this.peek = function() {
    if (this.top === null) {
      return null;
    } else {
      return this.top.data;
    }
  }

  this.pop = function() {
    if (this.top === null) {
      return null;
    } else {
      var out = this.top;
      this.top = this.top.next;
      if (this.count > 0) {
        this.count--;
      }

      return out.data;
    }
  }

  this.displayAll = function() {
    if (this.top === null) {
      return null;
    } else {
      var arr = new Array();

      var current = this.top;
      //console.log(current);
      for (var i = 0; i < this.count; i++) {
        arr[i] = current.data;
        current = current.next;
      }

      return arr;
    }
  }
}

并使用您的控制台进行检查，然后逐行尝试这些方法。

>> var st = new Stack();

>> st.push("BP");

>> st.push("NK");

>> st.getTop();

>> st.getCount();

>> st.displayAll();

>> st.pop();

>> st.displayAll();

>> st.getTop();

>> st.peek();

/*------------------------------------------------------------------ 
 Defining Stack Operations using Closures in Javascript, privacy and
 state of stack operations are maintained

 @author:Arijt Basu
 Log: Sun Dec 27, 2015, 3:25PM
 ------------------------------------------------------------------- 
 */
var stackControl = true;
var stack = (function(array) {
        array = [];
        //--Define the max size of the stack
        var MAX_SIZE = 5;

        function isEmpty() {
            if (array.length < 1) console.log("Stack is empty");
        };
        isEmpty();

        return {

            push: function(ele) {
                if (array.length < MAX_SIZE) {
                    array.push(ele)
                    return array;
                } else {
                    console.log("Stack Overflow")
                }
            },
            pop: function() {
                if (array.length > 1) {
                    array.pop();
                    return array;
                } else {
                    console.log("Stack Underflow");
                }
            }

        }
    })()
    // var list = 5;
    // console.log(stack(list))
if (stackControl) {
    console.log(stack.pop());
    console.log(stack.push(3));
    console.log(stack.push(2));
    console.log(stack.pop());
    console.log(stack.push(1));
    console.log(stack.pop());
    console.log(stack.push(38));
    console.log(stack.push(22));
    console.log(stack.pop());
    console.log(stack.pop());
    console.log(stack.push(6));
    console.log(stack.pop());
}
//End of STACK Logic

/* Defining Queue operations*/

var queue = (function(array) {
    array = [];
    var reversearray;
    //--Define the max size of the stack
    var MAX_SIZE = 5;

    function isEmpty() {
        if (array.length < 1) console.log("Queue is empty");
    };
    isEmpty();

    return {
        insert: function(ele) {
            if (array.length < MAX_SIZE) {
                array.push(ele)
                reversearray = array.reverse();
                return reversearray;
            } else {
                console.log("Queue Overflow")
            }
        },
        delete: function() {
            if (array.length > 1) {
                //reversearray = array.reverse();
                array.pop();
                return array;
            } else {
                console.log("Queue Underflow");
            }
        }
    }



})()

console.log(queue.insert(5))
console.log(queue.insert(3))
console.log(queue.delete(3))

否则，您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，则输出将为3,2,1。但是我们需要FIFO结构，因此您可以执行以下操作。

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

这是一个相当简单的队列实现，有两个目标：

• 与array.shift（）不同，您知道此出队方法需要固定的时间（O（1））。
• 为了提高速度，此方法比链接列表方法使用更少的分配。

堆栈实现仅具有第二个目标。

// 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; };

堆栈的实现很简单，如其他答案所述。

但是，我没有在此线程中找到任何令人满意的答案来在javascript中实现队列，因此我做了自己的事情。

此线程中有三种解决方案：

• 数组- array.shift()在大型数组上使用最糟糕的解决方案效率很低。
• 链表-它是O（1），但是对每个元素使用对象有点多余，尤其是当它们很多且很小时，例如存储数字。
• 延迟移位数组-它由将索引与数组相关联组成。当元素出队时，索引向前移动。当索引到达数组的中间时，将数组切成两半以删除前半部分。

延迟移位数组是我心中最满意的解决方案，但它们仍将所有内容存储在一个大的连续数组中，这可能会出现问题，并且在对数组进行切片时，应用程序将错开。

我使用小型数组的链接列表（每个最多1000个元素）进行了实现。数组的行为类似于延迟移位数组，但它们从未被切片：当删除数组中的每个元素时，该数组将被简单丢弃。

该软件包位于具有基本FIFO功能的npm上，我最近才推出了它。该代码分为两部分。

这是第一部分

/** Queue contains a linked list of Subqueue */
class Subqueue <T> {
  public full() {
    return this.array.length >= 1000;
  }

  public get size() {
    return this.array.length - this.index;
  }

  public peek(): T {
    return this.array[this.index];
  }

  public last(): T {
    return this.array[this.array.length-1];
  }

  public dequeue(): T {
    return this.array[this.index++];
  }

  public enqueue(elem: T) {
    this.array.push(elem);
  }

  private index: number = 0;
  private array: T [] = [];

  public next: Subqueue<T> = null;
}

这是主要的Queue类：

class Queue<T> {
  get length() {
    return this._size;
  }

  public push(...elems: T[]) {
    for (let elem of elems) {
      if (this.bottom.full()) {
        this.bottom = this.bottom.next = new Subqueue<T>();
      }
      this.bottom.enqueue(elem);
    }

    this._size += elems.length;
  }

  public shift(): T {
    if (this._size === 0) {
      return undefined;
    }

    const val = this.top.dequeue();
    this._size--;
    if (this._size > 0 && this.top.size === 0 && this.top.full()) {
      // Discard current subqueue and point top to the one after
      this.top = this.top.next;
    }
    return val;
  }

  public peek(): T {
    return this.top.peek();
  }

  public last(): T {
    return this.bottom.last();
  }

  public clear() {
    this.bottom = this.top = new Subqueue();
    this._size = 0;
  }

  private top: Subqueue<T> = new Subqueue();
  private bottom: Subqueue<T> = this.top;
  private _size: number = 0;
}

类型注释（: X）可以轻松删除以获取ES6 javascript代码。

如果您了解具有push（）和pop（）函数的堆栈，那么从相反的角度来说，队列只是使这些操作之一。push（）的对面是unshift（），而pop（）的对面是shift（）。然后：

//classic stack
var stack = [];
stack.push("first"); // push inserts at the end
stack.push("second");
stack.push("last");
stack.pop(); //pop takes the "last" element

//One way to implement queue is to insert elements in the oposite sense than a stack
var queue = [];
queue.unshift("first"); //unshift inserts at the beginning
queue.unshift("second");
queue.unshift("last");
queue.pop(); //"first"

//other way to do queues is to take the elements in the oposite sense than stack
var queue = [];
queue.push("first"); //push, as in the stack inserts at the end
queue.push("second");
queue.push("last");
queue.shift(); //but shift takes the "first" element

这是队列的链表版本，其中也包括最后一个节点，如@perkins所建议的，也是最合适的。

// QUEUE Object Definition

var Queue = function() {
  this.first = null;
  this.last = null;
  this.size = 0;
};

var Node = function(data) {
  this.data = data;
  this.next = null;
};

Queue.prototype.enqueue = function(data) {
  var node = new Node(data);

  if (!this.first){ // for empty list first and last are the same
    this.first = node;
    this.last = node;
  } else { // otherwise we stick it on the end
    this.last.next=node;
    this.last=node;
  }

  this.size += 1;
  return node;
};

Queue.prototype.dequeue = function() {
  if (!this.first) //check for empty list
    return null;

  temp = this.first; // grab top of list
  if (this.first==this.last) {
    this.last=null;  // when we need to pop the last one
  }
  this.first = this.first.next; // move top of list down
  this.size -= 1;
  return temp;
};

如果您要通过一些基本操作（基于链接列表）来寻找Stack and Queue数据结构的ES6 OOP实现，则可能如下所示：

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);
  }
}

上面示例中用于Stack和Queue的LinkedList实现可以在GitHub上找到。

没有阵列

//Javascript stack linked list data structure (no array)

function node(value, noderef) {
    this.value = value;
    this.next = noderef;
}
function stack() {
    this.push = function (value) {
        this.next = this.first;
        this.first = new node(value, this.next);
    }
    this.pop = function () {
        var popvalue = this.first.value;
        this.first = this.first.next;
        return popvalue;
    }
    this.hasnext = function () {
        return this.next != undefined;
    }
    this.isempty = function () {
        return this.first == undefined;
    }

}

//Javascript stack linked list data structure (no array)
function node(value, noderef) {
    this.value = value;
    this.next = undefined;
}
function queue() {
    this.enqueue = function (value) {
        this.oldlast = this.last;
        this.last = new node(value);
        if (this.isempty())
            this.first = this.last;
        else 
           this.oldlast.next = this.last;
    }
    this.dequeue = function () {
        var queuvalue = this.first.value;
        this.first = this.first.next;
        return queuvalue;
    }
    this.hasnext = function () {
        return this.first.next != undefined;
    }
    this.isempty = function () {
        return this.first == undefined;
    }

}

Javascript中的常规Array结构是一个堆栈（先进先出），也可以根据您的调用用作队列（先进先出）。

检查此链接以了解如何使数组像队列一样工作：

Queue列

问候，

在Javascript中，堆栈和队列的实现如下：

堆栈：堆栈是根据后进先出（LIFO）原理插入和删除的对象的容器。

• 推：方法将一个或多个元素添加到数组的末尾，并返回数组的新长度。
• 弹出：方法从数组中删除最后一个元素并返回该元素。

队列：队列是根据先进先出（FIFO）原理插入和删除的对象（线性集合）的容器。

• Unshift：方法将一个或多个元素添加到数组的开头。

• Shift：该方法从数组中删除第一个元素。

let stack = [];
 stack.push(1);//[1]
 stack.push(2);//[1,2]
 stack.push(3);//[1,2,3]
 
console.log('It was inserted 1,2,3 in stack:', ...stack);

stack.pop(); //[1,2]
console.log('Item 3 was removed:', ...stack);

stack.pop(); //[1]
console.log('Item 2 was removed:', ...stack);


let queue = [];
queue.push(1);//[1]
queue.push(2);//[1,2]
queue.push(3);//[1,2,3]

console.log('It was inserted 1,2,3 in queue:', ...queue);

queue.shift();// [2,3]
console.log('Item 1 was removed:', ...queue);

queue.shift();// [3]
console.log('Item 2 was removed:', ...queue);

  var x = 10; 
  var y = 11; 
  var Queue = new Array();
  Queue.unshift(x);
  Queue.unshift(y);

  console.log(Queue)
  // Output [11, 10]

  Queue.pop()
  console.log(Queue)
  // Output [11]

在我看来，内置数组适合堆栈。如果要在TypeScript中使用Queue，请执行以下操作

/**
 * 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);
  }

}

这是一个Jest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

干杯，

斯图

创建一对类，这些类提供每个数据结构所具有的各种方法（推，弹出，窥视等）。现在实现方法。如果您熟悉堆栈/队列背后的概念，这应该很简单。您可以使用数组来实现堆栈，并使用链表来实现队列，尽管当然还有其他方法可以实现。Javascript将使此操作变得容易，因为它是弱类型的，因此您甚至不必担心泛型类型，如果您使用Java或C＃实现它，则不必这样做。

这是我的堆栈实现。

function Stack() {
this.dataStore = [];
this.top = 0;
this.push = push;
this.pop = pop;
this.peek = peek;
this.clear = clear;
this.length = length;
}
function push(element) {
this.dataStore[this.top++] = element;
}
function peek() {
return this.dataStore[this.top-1];
}
function pop() {
return this.dataStore[--this.top];
}
function clear() {
this.top = 0;
}
function length() {
return this.top;
}

var s = new Stack();
s.push("David");
s.push("Raymond");
s.push("Bryan");
console.log("length: " + s.length());
console.log(s.peek());

您可以使用WeakMaps在ES6类中实现私有属性，并使用JavaScript语言实现String属性和方法的好处，如下所示：

const _items = new WeakMap();

class Stack {
  constructor() {
    _items.set(this, []);
  }

push(obj) {
  _items.get(this).push(obj);
}

pop() {
  const L = _items.get(this).length;
  if(L===0)
    throw new Error('Stack is empty');
  return _items.get(this).pop();
}

peek() {
  const items = _items.get(this);
  if(items.length === 0)
    throw new Error ('Stack is empty');
  return items[items.length-1];
}

get count() {
  return _items.get(this).length;
}
}

const stack = new Stack();

//now in console:
//stack.push('a')
//stack.push(1)
//stack.count   => 2
//stack.peek()  => 1
//stack.pop()   => 1
//stack.pop()   => "a"
//stack.count   => 0
//stack.pop()   => Error Stack is empty

使用两个堆栈构造一个队列。

入队和出队操作均为O（1）。

class Queue {
  constructor() {
    this.s1 = []; // in
    this.s2 = []; // out
  }

  enqueue(val) {
    this.s1.push(val);
  }

  dequeue() {
    if (this.s2.length === 0) {
      this._move();
    }

    return this.s2.pop(); // return undefined if empty
  }

  _move() {
    while (this.s1.length) {
      this.s2.push(this.s1.pop());
    }
  }
}