JSPM

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  • License Apache-2.0

Pseudo-random number generators w/ unified API, distributions, weighted choices, ID generation

Package Exports

  • @thi.ng/random

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@thi.ng/random) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

random

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This project is part of the @thi.ng/umbrella monorepo.

About

Pseudo-random number generators w/ unified API, distributions, weighted choices, ID generation.

This package provides the IRandom interface and various (mostly seedable) pseudo-random number generator implementations, incl. IRandom wrappers for Math.random() and window.crypto:

Partially ported from C implementations taken from c.thi.ng.

Random distributions

Other utilities

Status

STABLE - used in production

Search or submit any issues for this package

  • @thi.ng/ksuid - Configurable K-sortable unique IDs, ULIDs, binary & base-N encoded, 32/48/64bit time resolutions

Installation

yarn add @thi.ng/random
// ES module
<script type="module" src="https://unpkg.com/@thi.ng/random?module" crossorigin></script>

// UMD
<script src="https://unpkg.com/@thi.ng/random/lib/index.umd.js" crossorigin></script>

Package sizes (gzipped, pre-treeshake): ESM: 1.81 KB / CJS: 1.95 KB / UMD: 1.91 KB

Dependencies

Usage examples

Several demos in this repo's /examples directory are using this package.

A selection:

Screenshot Description Live demo Source
Probabilistic color theme generator Demo Source
Interactive inverse FFT toy synth Demo Source
Interactive pixel sorting tool using thi.ng/color & thi.ng/pixel Demo Source
Evolutionary shader generation using genetic programming Demo Source

API

Generated API docs

import { Smush32 } from "@thi.ng/random";

const rnd = new Smush32(0xdecafbad);

// the following methods are available for all generators

// next uint (0 .. 2^32-1)
rnd.int()
// 4022849029

// next float [0.0 .. 1.0)
rnd.float()
// 0.2698542904737066

// next normalized float (w/ opt scale)
// [-scale .. +scale)
rnd.norm(100)
// 57.70723665079737

// next float in given interval [min .. max)
rnd.minmax(10, 20)
// 15.295951807707537

Authors

Karsten Schmidt

If this project contributes to an academic publication, please cite it as:

@misc{thing-random,
  title = "@thi.ng/random",
  author = "Karsten Schmidt",
  note = "https://thi.ng/random",
  year = 2015
}

License

© 2015 - 2021 Karsten Schmidt // Apache Software License 2.0