Fast simple seedable pseudo-random number generator
npm install fast-random
Simple fast seedable pseudo-random number generator
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
``sh`
npm install --save fast-random
Get a new random number generator
`js
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)_
`js
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());
}
`
`js
const random = require('fast-random');
const seed = Date.now();
const r = random(seed);
`
`js
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);
}
``
* 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/