The Mersenne Twister is a pseudo-random number generator invented by Makoto Matsumoto in 1997. Details can be found on the Wikipedia page and on Matsumoto's website.
This implementation is based on Sean McCullough's port of the original C code written by Makato Matsumoto and Takuji Nishimura.
Improvements over Sean's version are
- more idiomatic, jshint-compliant and jsdoc-annotated code
- compatible with Node.js, requirejs and browser environments
- available as a module for npm, Jam and Bower
- (somewhat) unit tested ;-)
Please note that the mersenne twister is not cryptographically secure.
Simply run npm install mersennetwister
(or npm install --save mersennetwister
of you want to directly add it to your package.json file). Import as usual: var MersenneTwister = require('mersennetwister');
Use the Jam command line tool: jam install mersennetwister
and import as usual require(['mersennetwister'], function (MersenneTwister) { ...
Via the Bower tool: bower install mersennetwister
Tools like Jam will usually configure requirejs so that it can be accessed via its package name (i.e., mersennetwister
). If you use requirejs without such a customized configuration you need to import it via its camelcased filename: requirejs(['MersenneTwister'], function (MersenneTwister) { ...
Download and include the src/MersenneTwister.js
file: <script src="path/to/MersenneTwister.js"></script>
. It is now available as the global variable MersenneTwister
.
You can either just use the static random
method of the module, which will return a random float just like Math.random
does. If desired you can also instantiate your own instance of the mersenne twister and use its methods:
var mt = new MersenneTwister(seed); // if no seed is defined, seed randomly
mt.int(); // random 32-bit integer
mt.int31(); // random 31-bit integer
mt.rnd(); // random float in the interval [0;1[ with 32-bit resolution
mt.random(); // random float in the interval [0;1[ (same as mt.rnd() above)
mt.rndHiRes(); // random float in the interval [0;1[ with 53-bit resolution
mt.real(); // random float in the interval [0;1]
mt.realx(); // random float in the interval ]0;1[
mt.init(seed); // (re)seed the generator with an unsigned 32-bit integer
mt.initArray(key); // (re)seed using a state vector of unsigned 32-bit integers
Take a look at the inventor´s website if more detailed information is required.
As indicated here, the Mersenne Twister algorithm is free to be used for any purpose, including commercial use. The license file of this module contains the text found in the C implementation on which it is based.
- added bower.json (with ignore section) and .editorconfig
- added
.random()
alias to.rnd()
- published as a Jam module
- registered as a Bower component
- added installation instructions
- completed jsdoc annotations and added build target
- changelog added ;)
- initial release
- published as an npm module