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

hwsl2

v1.0.0

Published

Hashing with SL2

Downloads

4

Readme

Hashing with SL2

An algebraic hash function, inspired by the paper Hashing with SL2 by Tillich and Zemor.

The hash function is based on matrix multiplication in the special linear group of degree 2, over a Galois field of order 2^127, with all computations modulo the polynomial x^127 + x^63 + 1.

This construction gives some nice properties, which traditional bit-scambling hash functions don't possess, including it being composable. It holds:

Hash.hash(m1 + m2, function (err, h) {
  Hash.hash(m1, function (err, h1) {
    Hash.hash(m2, function (err, h2) {
      assert(h.equals(h1.concat(h2)));
    });
  );
});

Following that, the hash function is also parallelisable. If a message m can be divided into a list of chunks cs, the hash of the message can be calculated in parallel:

async.map(cs, Hash.hash, function (err, hs) {
  hs.reduce(function (a, b) { return a.concat(b); }, Hash.empty());
});

All operations in this package are implemented in a very efficient manner using SSE instructions.

diagram