p-queue-ts
v1.2.0
Published
Priority Queue implemented using Heap
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Readme
Priority Queue
A priority queue is a collection in which items can be added at any time, but the only item that can be removed is the one with the highest priority.
For more information, please check wiki.
Motivation
During practising some challenges in leetcode
. I found this problem requires priority queue
. So I decided to research some documentations online and try to implement by myself this lib. The result beats 97% in leetcode
.
Installation
npm
npm i p-queue-ts
yarn
yarn add p-queue-ts
Usage
The priority queue
lib uses max heap as a default way to build a queue.
import { PriorityQueue } from 'p-queue-ts';
or
const { PriorityQueue } = require('p-queue-ts');
Max priority queue
with array of numbers
const p = new PriorityQueue();
p.push(2);
p.push(7);
p.push(4);
p.push(1);
p.push(8);
p.push(1);
// The queue: [8, 7, 4, 1, 2, 1]
with array of objects
const p = new PriorityQueue(function (a, b) {
return a.value < b.value;
});
p.push({ text: 'a', value: 2 });
p.push({ text: 'b', value: 7 });
p.push({ text: 'c', value: 4 });
p.push({ text: 'd', value: 1 });
p.push({ text: 'e', value: 8 });
p.push({ text: 'f', value: 1 });
/** The queue
[
{ text: 'e', value: 8 },
{ text: 'b', value: 7 },
{ text: 'c', value: 4 },
{ text: 'd', value: 1 },
{ text: 'a', value: 2 },
{ text: 'f', value: 1 },
]
*/
If you want to support min priority queue
. The lib allows providing the customized comparator
.
Min priority queue
with array of numbers
const p = new PriorityQueue(function (a, b) {
return a > b;
});
p.push(2);
p.push(7);
p.push(4);
p.push(1);
p.push(8);
p.push(1);
// The queue: [1, 2, 1, 7, 8, 4]
with array of objects
const p = new PriorityQueue(function (a, b) {
return a.value > b.value;
});
p.push({ text: 'a', value: 2 });
p.push({ text: 'b', value: 7 });
p.push({ text: 'c', value: 4 });
p.push({ text: 'd', value: 1 });
p.push({ text: 'e', value: 8 });
p.push({ text: 'f', value: 1 });
/** The queue
[
{ text: 'd', value: 1 },
{ text: 'a', value: 2 },
{ text: 'f', value: 1 },
{ text: 'b', value: 7 },
{ text: 'e', value: 8 },
{ text: 'c', value: 4 }
]
*/
API
push(value: T)
Add elements to queue
const p = new PriorityQueue();
p.push(1); // adding "1" to queue
p.push(2); // adding "2" to queue
p.push(3); // adding "3" to queue
// The queue: [3, 1, 2]
pop()
Extract the largest or smallest element from the queue
const p = new PriorityQueue();
p.push(1); // adding "1" to queue
p.push(2); // adding "2" to queue
p.push(3); // adding "3" to queue
const elmenet = p.pop(); // Output: 3
The queue looks like this [2, 1]
top()
Peek the element (get the largest or smallest element without removing it from queue)
const p = new PriorityQueue();
p.push(1); // adding "1" to queue
p.push(2); // adding "2" to queue
p.push(3); // adding "3" to queue
const elmenet = p.pop(); // Output: 3
// The queue is remained the same
size()
Get the size of the queue
const p = new PriorityQueue();
p.push(1); // adding "1" to queue
p.push(2); // adding "2" to queue
p.push(3); // adding "3" to queue
p.push(4); // adding "4" to queue
const length = p.size(); // Output: 4
empty()
Check whether the queue is empty or not.
- true: if the queue is empty
- false: if the queue has data
toArray()
Extract queue to array
const p = new PriorityQueue();
p.push(1); // adding "1" to queue
p.push(2); // adding "2" to queue
p.push(3); // adding "3" to queue
const array = p.toArray(); // Output: [3, 1, 2]
clear()
Removes all of the elements from this priority queue.
contains(value: T, comparator?: (item: T) => boolean)
Returns true if this queue contains the specified element.
- true: if the element exists in queue
- false: if the element does not exist in queue
with array of numbers
const p = new PriorityQueue();
p.push(2);
p.push(7);
p.push(4);
p.push(1);
p.push(8);
p.push(1);
p.contains(8); // true
p.contains(100); // false
with array of objects
const p = new PriorityQueue(function (a, b) {
return a.value > b.value;
});
p.push({ text: 'a', value: 2 });
p.push({ text: 'b', value: 7 });
p.push({ text: 'c', value: 4 });
p.push({ text: 'd', value: 1 });
p.push({ text: 'e', value: 8 });
p.push({ text: 'f', value: 1 });
function callback(item: any) {
return item.value === element.value;
}
p.contains(8, callback); // true
p.contains(100, callback); // false
Running time
You can check the performance of the package here: https://jsperf.com/p-queue-ts
| Operation | Binary heap | | --------- | ----------- | | push | O(lg n) | | top | O(1) | | pop | O(lg n) |