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

fast-random

v2.0.4

Published

Fast simple seedable pseudo-random number generator

Downloads

1,029

Readme

fast-random

npm version

Simple fast seedable pseudo-random number generator

Purpose

Returns a single factory function that creates a new pseudo-random number generator (PRNG) based on the provided seed value. The generator returns 32-bit pseudo-random integers using the Lehmer/Park-Miller generator. This is a circular generator, which will cycle through all 2147483646 possible values before repeating

While not the most robust of PRNGs, the code has a very small footprint, is extremely quick and produces results good enough for many purposes. It has been written to work both within Node.js and in the browser

Installation

npm install --save fast-random

API Summary

Get a new random number generator

const random = require('fast-random');

const seed = 12345;
const generator = random(seed);

The returned generator contains the following functions

  • seed(SEED_VALUE): set the current seed value (SEED_VALUE is an integer)
  • nextInt(): get the next integer value (1 <= x <= 2147483646)
  • nextFloat(): get the next float value (0 <= x < 1)

Examples

General use

const random = require('fast-random');

// create a new generator
const seed = 12345;
const r = random(seed);

// produce some integer values
for (let i = 0; i < 8; ++i) {
	console.log(r.nextInt());
}

// reset the seed
r.seed(seed);

// produce some floating point values
for (let j = 0; j < 8; ++j) {
	console.log(r.nextFloat());
}

Set seed from current time

const random = require('fast-random');

const seed = Date.now();
const r = random(seed);

Get integers in a given range

const random = require('fast-random');

const seed = 12345;
const r = random(seed);

// get random number between a and b inclusive, ie (a <= x <= b)
function getRandomBetween(a, b) {
	return a + r.nextInt() % (b - a + 1);
}

More information

  • https://en.wikipedia.org/wiki/Lehmer_random_number_generator
  • http://www.firstpr.com.au/dsp/rand31/
  • http://lab.polygonal.de/2007/04/21/a-good-pseudo-random-number-generator-prng/