utils/ts_core/src/rng.ts

/**
 * Seeded, deterministic PRNG (mulberry32).
 *
 * A given seed must always reproduce the exact same world, so consumers ban
 * `Math.random` by lint outside this file.
 *
 * ## Why there are two interfaces
 *
 * The four repos that had grown their own copy did not agree on shape:
 * konbini-67 used mutable state plus free functions (`nextFloat(rng)`),
 * while sims3-clone and europe-county-map returned an object of closures
 * (`rng.next()` / `rng.float()`). Both are exported here rather than
 * reconciled into one, because the *sequence* is the contract: these repos
 * have seeded tests and "same seed -> identical world" guarantees, and
 * changing how many times a helper advances the generator silently changes
 * every generated world. A shared package that quietly re-rolled saved
 * worlds would be worse than the duplication it replaced.
 *
 * The generator core is identical in both, so a given seed produces the same
 * float sequence whichever interface you use -- verified in the tests.
 *
 * Note `int` is inclusive of both bounds, matching sims3-clone and
 * europe-county-map. konbini-67's local helper took a single *exclusive*
 * max; it maps to `int(rng, 0, max - 1)`.
 */

/** Mutable state for a mulberry32 generator. */
export interface Rng {
  /** Internal 32-bit state. Advanced by every draw. */
  s: number
}

/** Creates mutable generator state from a seed. */
export const createRng = (seed: number): Rng => ({ s: seed >>> 0 })

/**
 * Deterministic float in [0, 1). Advances the generator.
 *
 * This is the mulberry32 core; every other helper here is defined in terms
 * of it, so they all consume exactly one step per call.
 */
export const nextFloat = (rng: Rng): number => {
  rng.s = (rng.s + 0x6d_2b_79_f5) >>> 0
  let t = rng.s
  t = Math.imul(t ^ (t >>> 15), t | 1)
  t ^= t + Math.imul(t ^ (t >>> 7), t | 61)
  return ((t ^ (t >>> 14)) >>> 0) / 4_294_967_296
}

/** Deterministic integer in [minInclusive, maxInclusive]. One step. */
export const nextInt = (
  rng: Rng,
  minInclusive: number,
  maxInclusive: number,
): number =>
  minInclusive + Math.floor(nextFloat(rng) * (maxInclusive - minInclusive + 1))

/** True with the given probability in [0, 1]. One step. */
export const nextChance = (rng: Rng, probability: number): boolean =>
  nextFloat(rng) < probability

/**
 * Deterministic pick from a non-empty tuple. One step.
 *
 * Iterates rather than indexing: under `noUncheckedIndexedAccess` an index
 * read is `T | undefined`, and the undefined arm is unreachable here, so it
 * could never be covered by a test.
 */
export const pick = <T>(rng: Rng, items: readonly [T, ...T[]]): T => {
  const target = nextInt(rng, 0, items.length - 1)
  let out: T = items[0]
  let seen = 0
  for (const item of items) {
    if (seen === target) {
      out = item
    }
    seen += 1
  }
  return out
}

/**
 * The closure-style interface, for consumers that pass an `Rng` object
 * around rather than threading mutable state through free functions.
 */
export interface SeededRng {
  /** Uniform float in [0, 1). */
  float: () => number
  /** Uniform integer in [minInclusive, maxInclusive]. */
  int: (minInclusive: number, maxInclusive: number) => number
  /** Uniform element of a non-empty array. */
  pick: <T>(items: readonly T[]) => T
  /** True with the given probability in [0, 1]. */
  chance: (probability: number) => boolean
}

/**
 * Creates a {@link SeededRng} over the same mulberry32 core.
 *
 * `pick` throws on an empty array rather than returning `undefined`: the
 * callers all treat their input as non-empty, and a silent `undefined`
 * propagates into generated data where it is far harder to trace.
 */
export const createSeededRng = (seed: number): SeededRng => {
  const state = createRng(seed)
  const float = (): number => nextFloat(state)
  return {
    float,
    int: (minInclusive: number, maxInclusive: number): number =>
      nextInt(state, minInclusive, maxInclusive),
    pick: <T>(items: readonly T[]): T => {
      const chosen = items[Math.floor(float() * items.length)]
      if (chosen === undefined) {
        throw new Error('pick() on an empty array')
      }
      return chosen
    },
    chance: (probability: number): boolean => float() < probability,
  }
}