npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

lru-cache-js-map

v1.0.7

Published

An implementation of LRU Cache using Doubly Linked Lists and Maps with O(1) read and write time.

Downloads

6

Readme

LRU Cache

Data Structures Used

  1. Queue which is implemented using a doubly linked list. The maximum size of the queue will be equal to the total number of frames available (cache size). The most recently used pages will be near front end and least recently pages will be near the rear end.
  2. A Hash with page number as key and address of the corresponding queue node as value.

If you find this piece of work interesting, dont forget to give a star on github.

Methods

  1. LRUCache.put(key, value) : Add a key-value pair using this method.
  2. LRUCache.get(key) : Returns the value for the key if present or returns -1 if not.
  3. LRUCache.remove(key) : Removes a key value pair, if present
  4. LRUCache.getCache() : Fetches all the contents of the cache as a JSON Object.
  5. LRUCache.getKeysOfValue(val) : Fetches all the keys with the provided value.
  6. LRUCache.getAllValues() : Fetches all the values present in the Cache.
  7. LRUCache.getAllKeys() : Fetches all the keys present in the Cache.

Implementation

npm i lru-cache-js-map
const LRUCache = require('lru-cache-js-map');

var cache = new LRUCache(100);

for(var i=0; i < 100; i++){
    cache.put(Math.floor(Math.random()*10), Math.random()*10000);
}

console.log(cache)

! Happy Coding !