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https://github.com/datastructures-js/queue

➡️ A performant queue implementation in javascript.
https://github.com/datastructures-js/queue

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➡️ A performant queue implementation in javascript.

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# @datastructures-js/queue

[![npm](https://img.shields.io/npm/v/@datastructures-js/queue.svg)](https://www.npmjs.com/package/@datastructures-js/queue)
[![npm](https://img.shields.io/npm/dm/@datastructures-js/queue.svg)](https://www.npmjs.com/packages/@datastructures-js/queue) [![npm](https://img.shields.io/badge/node-%3E=%206.0-blue.svg)](https://www.npmjs.com/package/@datastructures-js/queue)

A performant queue implementation in javascript.

# Contents
* [Install](#install)
* [require](#require)
* [import](#import)
* [API](#api)
* [constructor](#constructor)
* [Queue.fromArray](#queuefromarray)
* [enqueue (push)](#enqueue-push)
* [front](#front)
* [back](#back)
* [dequeue (pop)](#dequeue-pop)
* [isEmpty](#isEmpty)
* [size](#size)
* [clone](#clone)
* [toArray](#toarray)
* [clear](#clear)
* [Build](#build)
* [License](#license)

## Install

```sh
npm install --save @datastructures-js/queue
```

### require

```js
const { Queue } = require('@datastructures-js/queue');
```

### import

```js
import { Queue } from '@datastructures-js/queue';
```

## API

### constructor

##### JS
```js
// empty queue
const queue = new Queue();

// from an array
const queue = new Queue([1, 2, 3]);
```

##### TS
```js
// empty queue
const queue = new Queue();

// from an array
const queue = new Queue([1, 2, 3]);
```

### Queue.fromArray

##### JS
```js
// empty queue
const queue = Queue.fromArray([]);

// with elements
const list = [10, 3, 8, 40, 1];
const queue = Queue.fromArray(list);

// If the list should not be mutated, use a copy of it.
const queue = Queue.fromArray(list.slice());
```

##### TS
```js
// empty queue
const queue = Queue.fromArray([]);

// with elements
const list = [10, 3, 8, 40, 1];
const queue = Queue.fromArray(list);
```

### enqueue (push)
adds an element to the back of the queue.

```js
queue.enqueue(10).enqueue(20); // or queue.push(123)
```

### front
peeks on the front element of the queue.

```js
console.log(queue.front()); // 10
```

### back
peeks on the back element in the queue.

```js
console.log(queue.back()); // 20
```

### dequeue (pop)
removes and returns the front element of the queue in O(1) runtime.

```js
console.log(queue.dequeue()); // 10 // or queue.pop()
console.log(queue.front()); // 20
```

Dequeuing all elements takes O(n) instead of O(n2) when using shift/unshift with arrays.

Explanation by @alexypdu:

Internally, when half the elements have been dequeued, we will resize the dynamic array using `Array.slice()` which runs in $O(n)$. Since dequeuing all $n$ elements will resize the array $\log_2n$ times, the complexity is $$1 + 2 + 4 + \cdots + 2^{\log_2 n - 1} = 2 ^ {(\log_2 n - 1) + 1} - 1 = n - 1 = O(n)$$ Hence the overall complexity of dequeuing all elements is $O(n + n) = O(n)$, and the amortized complexity of `dequeue()` is thus $O(1)$.

benchmark:

dequeuing 1 million elements in Node v14

Queue.dequeueArray.shift
~27 ms~4 mins 31 secs

### isEmpty
checks if the queue is empty.

```js
console.log(queue.isEmpty()); // false
```

### size
returns the number of elements in the queue.

```js
console.log(queue.size()); // 1
```

### clone
creates a shallow copy of the queue.

```js
const queue = Queue.fromArray([{ id: 2 }, { id: 4 } , { id: 8 }]);
const clone = queue.clone();

clone.dequeue();

console.log(queue.front()); // { id: 2 }
console.log(clone.front()); // { id: 4 }
```

### toArray
returns a copy of the remaining elements as an array.

```js
queue.enqueue(4).enqueue(2);
console.log(queue.toArray()); // [20, 4, 2]
```

### clear
clears all elements from the queue.

```js
queue.clear();
queue.size(); // 0
```

### Build

```sh
grunt build
```

## License
The MIT License. Full License is [here](https://github.com/datastructures-js/queue/blob/master/LICENSE)