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

pure-number-generator

v2.0.0

Published

Purely functional pseudorandom number generation

Downloads

3

Readme

Purely Functional Pseudorandom Number Generator

A small library that generates pseudorandom numbers between 0 and 1.

The pseudorandom number generator is a TypeScript port of Bob Jenkins’ small noncryptographic PRNG (a.k.a BurtlePRNG).

It is suitable for large statistical calculations, but not of cryptographic quality.

When you need repeatable results, pure-number-generator let’s you use the same seed to initialize the PRNG, which in return provides the same sequence of generated pseudorandom numbers.

The algorithm is on par with V8’s built-in PRNG.

pure-number-generator is based on a gist by @briancavalier. Many, many thanks to him!

Get it

npm install --save pure-number-generator
# or
yarn add pure-number-generator

API

createWithSeeds(seed0: number, seed1: number, seed2: number, seed3: number): PseudorandomNumberGenerator

Creates a new pseudorandom number generator, given four seed values.

import { createWithSeeds, next } from 'pure-number-generator'

const generator = createWithSeeds(20, 40, 60, 80)

const { value, nextGenerator } = next(generator)

createWithSeed(seed: number): PseudorandomNumberGenerator

Creates a new pseudorandom number generator, given a single seed value.

import { createWithSeed, next } from 'pure-number-generator'

const generator = createWithSeed(100)

const { value, nextGenerator } = next(generator)

next(generator: PseudorandomNumberGenerator): { value: number, nextGenerator: PseudorandomNumberGenerator }

Given a random number generator, it returns an object containing a pseudo-random value and the next pseudorandom number generator.

const { createWithSeed, next } from 'pure-number-generator'

const generator = createWithSeed(100)

const { value, nextGenerator } = next(generator)

pseudorandomNumbers(quantity: number, generator: PseudorandomNumberGenerator): { values: ReadonlyArray<number>, nextGenerator: PseudorandomNumberGenerator }

Creates an array of n amount of pseudo-random numbers derived from given generator.

import { pseudorandomNumbers, createWithSeed } from 'pure-number-generator'

const values = pseudorandomNumbers(100, createWithSeed(100)) // => [ 0.7805178083945066, ... ] 100 items

iterateToPseudorandomNumber(iterations: number, seed: PseudorandomNumberGenerator): { value: number, nextGenerator: PseudorandomNumberGenerator }

Generates a single number as the value by calling next n number of times. All numbers given as iterations will be rounded to the nearest integer, and all numbers less than 1 will default to 1.

import { iterateToPseudorandomNumber, createWithSeed }

const value = iterateToPseudorandomNumber(1000, createWithSeed(100)) // => 0.5745331489015371

splitGenerator(quantity: number, seed: PseudorandomNumberGenerator): ReadonlyArray<PseudorandomNumberGenerator>

Given a quantity and a seed, it creates an array of n number pseudorandom number generators.

import { createWithSeed, splitGenerator } from 'pure-number-generator'

const seed = createWithSeed(100)

const generators = splitGenerator(100, seed) // => [ PseudorandomNumberGenerator, ... ]

console.log(generators.length) // => 100

License

pure-number-generator is MIT licensed.