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

integer-queue

v0.1.1

Published

A fast queue for integers.

Downloads

3

Readme

Queue

This is a fixed-size queue that is uses typed arrays to beat the native implementation in terms of speed.

Installation

npm install integer-queue, then require('integer-queue').

Usage

new Queue(size[, type])

Create a new Queue that holds size elements of type type (see typed array views). This defaults to Int32Array.

queue.enqueue(item)

Attempt to enqueue item. If the queue is full, throw a QueueException. If item cannot be represented as an instance of the Queue's type, behaviour following this action is undefined.

queue.dequeue()

Attempt to dequeue the next item. If the queue is empty, throw a QueueException.

Testing, etc.

Run npm test to run the test suite. Run grunt profile to see how this queue performs against a naive solution using native arrays. Notice that the naive solution slows dramatically past 100k elements or so (because of an optimisation trick that Node.js uses for small arrays).

Implementation details

Using an array is a bad idea, because shift re-indexes the array every time and thus a push/shift (or even worse, an unshift/pop) queue runs in linear time with respect to its length.