@lgcnpm/esm-seedrandom
v3.0.6
Published
Explicitly seeded random number generator for JavaScript, ported to ES Modules. Compatible with original seedrandom CommonJS package.
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esm-seedrandom
Explicitly seeded random number generator for JavaScript, ported to ES Modules.
Unit tested for number generator compatability with original seedrandom CommonJS NPM package.
- Version: 3.0.5
- Author: David Bau
- Date: 2019-09-14
- ES Modules port in 2020-12 by Shane Holloway
Demo
GitHub Pages-based Live demo
Use
Fast PRNG Algorithms
|PRNG name | Period | Author | BigCrush test results | |------------------|-------------|----------------------|-----------------------| |prng_alea | ~2^116 | Baagøe | pass all |prng_xor128 | 2^128-1 | Marsaglia | fail MatrixRank and LinearComp |prng_tychei | ~2^127 | Neves/Araujo (ChaCha)| pass all |prng_xorwow | 2^192-2^32 | Marsaglia | fail CollisionOver, SimpPoker, and LinearComp |prng_xor4096 | 2^4096-2^32 | Brent (xorgens) | pass all |prng_xorshift7| 2^256-1 | Panneton/L'ecuyer | pass all |prng_arc4 | ~2^1600 | Bau (ARC4) | unknown
To use Johannes Baagøe's extremely fast Alea PRNG:
// Use alea for Johannes Baagøe's clever and fast floating-point RNG.
import {prng_alea} from 'esm-seedrandom';
let myrng = prng_alea('hello.');
// By default provides 32 bits of randomness in a float.
console.log(myrng()); // Always 0.4783254903741181 for this seed and sequence
console.log(myrng.quick()); // Always 0.8297006865032017 for this seed and sequence
// Use "double" to get 56 bits of randomness.
console.log(myrng.double()); // Always 0.4692433053279662 for this seed and sequence
// Use "int32" to get a 32 bit (signed) integer.
console.log(myrng.int32()); // Always 1350551666 for this seed and sequence
or direclty from HTML,
<script type="module">
import {prng_alea} from '//cdn.jsdelivr.net/npm/esm-seedrandom/esm/alea.min.mjs'
let myrng = prng_alea('an example seed string')
console.log(myrng()); // Always 0.2594452982302755 for this seed and sequence
console.log(myrng()); // Always 0.8253263409715146 for this seed and sequence
console.log(myrng()); // Always 0.42280301195569336 for this seed and sequence
// Use "quick" to get only 32 bits of randomness in a float.
console.log(myrng.quick()); // Always 0.9045045920647681 for this seed and sequence
console.log(myrng.quick()); // Always 0.7626296668313444 for this seed and sequence
// Use "int32" to get a 32 bit (signed) integer
console.log(myrng.int32()); // Always 1157605039 for this seed and sequence
console.log(myrng.int32()); // Always 346379077 for this seed and sequence
console.log(myrng.double()); // Always 0.9541419381134651 for this seed and sequence
console.log(myrng.double()); // Always 0.7982540860513401 for this seed and sequence
</script>
Docs
See the API docs.
Overview
From NodeJS,
npm install esm-seedrandom
or in HTML,
<script type='module'>
import {prng_alea} from '//cdn.jsdelivr.net/npm/esm-seedrandom/esm/index.min.mjs'
// or use the individual algorithms by module
import {prng_alea} from '//cdn.jsdelivr.net/npm/esm-seedrandom/esm/alea.min.mjs'
import {prng_xor128} from '//cdn.jsdelivr.net/npm/esm-seedrandom/esm/xor128.min.mjs'
import {prng_tychei} from '//cdn.jsdelivr.net/npm/esm-seedrandom/esm/tychei.min.mjs'
import {prng_xorwow} from '//cdn.jsdelivr.net/npm/esm-seedrandom/esm/xorwow.min.mjs'
import {prng_xor4096} from '//cdn.jsdelivr.net/npm/esm-seedrandom/esm/xor4096.min.mjs'
import {prng_xorshift7} from '//cdn.jsdelivr.net/npm/esm-seedrandom/esm/xorshift7.min.mjs'
import {prng_arc4} from '//cdn.jsdelivr.net/npm/esm-seedrandom/esm/arc4.min.mjs'
</script>
Saving & Restoring PRNG state
import {prng_alea} from 'esm-seedrandom';
let rng_first = prng_alea("secret-seed", {state: true});
let saved_state = rng_first.state()
for (let j = 0; j < 1e5; ++j)
rng_first();
// later
let rng_replica = prng_alea("", {state: saved_state});
for (let j = 0; j < 1e5; ++j)
rng_replica();
In normal use the prng is opaque and its internal state cannot be accessed.
However, if the state
option is provided, the prng gets a state() method
that returns a plain object the can be used to reconstruct a prng later in
the same state (by passing that saved object back as the state option).
Unit tests
Mocha-based live unittests for reproducability and validation of state capture and restore.
In NodeJS unittests, validation of state snapshot compatability with the original seedrandom CommonJS implementation is performed.