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

ts-seedrandom

v1.0.0

Published

Seeded random number generators for JavaScript, ported to TypeScript

Downloads

17

Readme

ts-seedrandom

Seeded random number generators for JavaScript, ported to TypeScript. Based on https://github.com/shanewholloway/js-esm-seedrandom.

Installation

npm install ts-seedrandom

Usage

Each generator includes the following methods:

  • quick - Default method used. Provides 32 bits of randomness in a float. Can either be called by calling generator instance directly (ex. generator()) or by name (ex. generator.quick()).
  • double - Provides 56 bits of randomness.
  • int32 - Providers a 32 bit (signed) integer.
  • state - Provides internal generator state. Used for saving and restoring states.
import { prngAlea } from 'ts-seedrandom';

const aleaGenerator = prngAlea('seed');
const firstValue = aleaGenerator();
const secondValue = aleaGenerator();

You also have the option of saving and restoring state of your generator.

import { prngAlea } from 'ts-seedrandom';

const aleaGenerator = prngAlea('seed');
const firstValue = aleaGenerator();

// Return internal generator state, which you can use in other generator instances
const state = aleaGenerator.state();

// This generator starts from the same state as first generator, but runs independently
const secondAleaGenerator = prngAlea('seed', state);

Available Algorithms

The following PRNG algorithms are available:

  1. prngAlea: Alea algorithm
  2. prngArc4: ARC4 algorithm
  3. prngTychei: Tyche-i algorithm
  4. prngXor128: XorShift128 algorithm
  5. prngXor4096: XorShift4096 algorithm
  6. prngXorshift7: XorShift7 algorithm
  7. prngXorwow: Xorwow algorithm

You can import and use any of these algorithms in the same way as demonstrated in the usage examples above.