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

@alisey/pcg32

v1.1.0

Published

PCG-32 random number generator implemented in WebAssembly

Downloads

8

Readme

PCG-32: A Seedable 32-bit PRNG

A WebAssembly port of the PCG Random Number Generator, Minimal C Edition.

Usage

import * as pcg from '@alisey/pcg32';

pcg.setState(0x0123456789ABCDEFn);

console.log(pcg.randomInt(10)); // ⇒ 5
console.log(pcg.random());      // ⇒ 0.3697000732146962

API

randomInt(bound: number): number

Returns a uniformly distributed 32-bit unsigned random integer in the range [0, bound), where bound is a number from 1 to 2³².

random(): number

Returns a uniformly distributed floating point number in the range [0, 1) that has been rounded down to the nearest multiple of 2⁻⁵³.

setState(state: bigint): void

Updates the internal state of the generator. The generator has 2⁶⁴ possible internal states, and iterates through all of them. state is a 64-bit unsigned BigInt.

getState(): bigint

Returns a 64-bit unsigned BigInt representing the internal state of the generator.

seed(value?: bigint): void

Seeds the generator with a 64-bit BigInt. If the value is not provided, uses a value based on Math.random().

Performance

As of 2021, in V8 pcg.randomInt() is as fast as Math.floor(Math.random() * n), but doesn't introduce bias. pcg.random() is 2 times slower than Math.random().

In SpiderMonkey and JavaScriptCore both functions are 10 times slower than native equivalents.

Working With This Repo

  1. npm install
  2. npm run build
  3. npm run test
  4. npm run demo
  5. npm run perf

Links