Class SeededRandom

A deterministic pseudo-random number generator using the mulberry32 algorithm, with Box-Muller transform for Gaussian sampling and weighted random choices.

Index

Constructors

Methods

choices gauss random shuffle

Constructors

constructor

new SeededRandom(seed: number): SeededRandom
Create a new SeededRandom with the given integer seed.
Parameters
- seed: number
Returns SeededRandom
- Defined in rng.ts:23

Methods

choices

choices(weights: number[]): number
Return a single random index chosen from weights (treated as unnormalized probabilities). Equivalent to Python's random.choices(range(n), weights=weights, k=1)[0].
Parameters
- weights: number[]
Returns number
- Defined in rng.ts:75

gauss

gauss(mean?: number, std?: number): number
Return a sample from a Gaussian distribution with the given mean and standard deviation.
Parameters
- mean: number = 0
- std: number = 1
Returns number
- Defined in rng.ts:43

random

random(): number
Return a uniform random number in [0, 1).

Returns number
- Defined in rng.ts:30

shuffle

shuffle<T>(arr: T[]): T[]
Shuffle an array in-place (Fisher-Yates).
Type Parameters
- T
Parameters
- arr: T[]
Returns T[]
- Defined in rng.ts:57