README
@algorithm.ts/priority-queue
A typescript implementation of Priority Queue, the internal data structure is a max heap.
Priority Queue is a special queue structure, the first element of the queue always returns to the maximum value in the queue, and the amortized time complexity of the enqueue and dequeue operations are both $O(\log N)$.
Install
npm
npm install --save @algorithm.ts/priority-queueyarn
yarn add @algorithm.ts/priority-queuedeno
import { createPriorityQueue } from 'https://raw.githubusercontent.com/guanghechen/algorithm.ts/main/packages/priority-queue/src/index.ts'
Usage
IPriorityQueueMember Return Description init(elements?: T[])voidInitialize priority queue with initial elements. enqueue(val: T)voidDrop a element into the priority queue. dequeue()T|undefinedPopup the top element. top()T|undefinedGet the top element. size()numberReturn the number of elements of the priority queue. isEmpty()booleanCheck if the priority queue is empty. collect()T[]Return all of the elements of the priority queue. createPriorityQueueexport function createPriorityQueue<T>( cmp: (x: T, y: T) => -1 | 0 | 1 | number, ): IPriorityQueue<T>createPriorityQueue<number>((x, y) => x - y): The top element has a maximum value.createPriorityQueue<number>((x, y) => y - x): The top element has a minimum value.
Example
Basic
import { createPriorityQueue } = '@algorithm.ts/priority-queue' const Q = createPriorityQueue<number>((x, y) => x - y) Q.enqueue(3) Q.enqueue(7) Q.enqueue(1) Q.enqueue(-5) Q.size() // => 4 Q.isEmpty() // => false Q.dequeue() // => 7 Q.dequeue() // => 3 Q.top() // => 1 Q.top() // => 1 Q.dequeue() // => 1 Q.top() // => -5 Q.dequeue() // => -5 Q.top() // => undefined Q.dequeue() // => undefined Q.isEmpty() // => trueA solution for 剑指offer#63 https://www.nowcoder.com/practice/9be0172896bd43948f8a32fb954e1be1
import { createPriorityQueue } from '@algorithm.ts/priority-queue' const lowerQ = createPriorityQueue<number>((x, y) => x - y) const upperQ = createPriorityQueue<number>((x, y) => y - x) export function Insert(num: number): void { if (lowerQ.size() === upperQ.size()) { upperQ.enqueue(num) lowerQ.enqueue(upperQ.dequeue()!) } else { lowerQ.enqueue(num) upperQ.enqueue(lowerQ.dequeue()!) } } export function GetMedian(): number { return lowerQ.size() === upperQ.size() ? (lowerQ.top()! + upperQ.top()!) / 2 : lowerQ.top()! }