@manutero/randomjs

Humanized random functions.

Installation

npm i @manutero/randomjs

...or just copy one file to your project:

curl -s https://raw.githubusercontent.com/manutero/randomjs/main/index.js > {my-awesome-project}/src/random.js

Quick Start

const { RandomGenerator } = require("@manutero/randomjs");

const random = RandomGenerator();

random.number(1, 10); // natural number between [a,b]
// => 3

random.normal(1, 10); // natural number between [a,b] considering a normal distribution
// => 6

random.roll("2d6"); // roll some dices
// => [2, 5]

random.bet(42.4); // bet with (0..100%) chance of success.
// => false

random.unit(); // random unit (0 - 1)
// => 0.7580578515771776

random.pickOne([1, 2, 3, 4, 5]); // pick one element (all elements have same weight)
// => 1

random.pickOne([
  // pick one element (considering different weights)
  { key: 1, weight: 1 },
  { key: 2, weight: 1 },
  { key: 3, weight: 9999 },
  { key: 4, weight: 1 },
]);
// => {key: 3, weight: 9999}

Dependencies

None. Just a plain .js file wrapping Math.random()

Use Case

Some uses cases I can think of...

• you just want a natural random between 1 and 10 while you aren't concern about pure mathematical correctness.
• you just want to pick an element from an array while not adding another dependency to your project (but copying 1 easy-to-read js file is ok)
• you just want to roll some dices while would be great that other guy has tested that function already.

If you're looking for a mathematically correct Random generator OR cryptographically secure random numbers, try with random-js instead

Method Detail

.number(a:int, b: int) -> int

Natural number between [a, b] (inclusive).

> random.number(1,10)
6
> random.number(1,10)
3
> random.number(1,10)
9
> random.number(1,10)
9
> random.number(1,10)
10

.normal(a: int, b: int, {skew?: int}) -> int

natural number between [a, b] (inclusive) considering a normal distribution.

> random.normal(1,10)
5
> random.normal(1,10)
4
> random.normal(1,10)
6
> random.normal(1,10)
4
> random.normal(1,10)
6
> random.normal(1,10)
6
> random.normal(1,10)
5

.roll(dice: str) -> [number]

Roll some dices

> random.roll('1d6')
[5]
> random.roll('2d12')
[4, 10]
> random.roll('3d6')
[1, 1, 5]
> random.roll('D3')
[2]
> random.roll('1D12')
[12]

.bet(options: float) -> boolean

bet with a percentage of success (expected a number between 0 - 100)

> random.bet(40.0)
false
> random.bet(40.0)
true
> random.bet(40.0)
false
> random.bet(0.0)
false
> random.bet(100.0)
true

.unit() -> float

unit random between (0, 1)

> random.unit()
0.7580578515771776
> random.unit()
0.11270887637510896
> random.unit()
0.028320789337158203

.pickOne(choices: [T], opts?: { weightKey>: string}) -> T:

pick one element from an array

> random.pickOne([1 ,2, 3, 4, 5])
3
> random.pickOne([1 ,2, 3, 4, 5])
5
> random.pickOne([1 ,2, 3, 4, 5])
5
> random.pickOne([1 ,2, 3, 4, 5])
1

Pick one element from an array with weight

> random.pickOne([
    { key: 1, weight: 10 },
    { key: 2, weight: 10 },
    { key: 3, weight: 10 },
    { key: 4, weight: 10 },
    { key: 5, weight: 10 }
])
{ key: 5, weight: 10 }
> random.pickOne([
    { key: 1, weight: 10 },
    { key: 2, weight: 10 },
    { key: 3, weight: 10 },
    { key: 4, weight: 99999 },
    { key: 5, weight: 10 }
])
{ key: 4, weight: 99999 }

.seed

Get the internal seed

> random.seed
72779816406.94533

constructor()

Force the internal seed

> r1 = RandomGenerator(42)
> r2 = RandomGenerator(42)
> r1.unit()
0.6011037519201636
> r2.unit()
0.6011037519201636
> r1.unit() === r2.unit()
true

License

MIT