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@drdice/prng

v0.4.0

Published

Literal-computing seeded pseudorandom generation for TypeScript

Readme

@drdice/prng

Deterministic seeded random generation with matching runtime functions and literal-computing TypeScript types. Use it for reproducible games, simulations, and tests.

Install

npm install @drdice/prng

Exact literal result types require TypeScript 7.0.2. Inputs known only at runtime still work normally and receive broader result types.

Quick start

import { initialize, sample, stateOf, valueOf } from "@drdice/prng";

const initialized = initialize([
  "00000001",
  "00000002",
  "00000003",
  "00000004",
] as const);

const first = sample(stateOf(initialized), 20);
const firstValue = valueOf(first);
//    ^? const firstValue: 11

const second = sample(stateOf(first), 6);
const secondValue = valueOf(second);
//    ^? const secondValue: 4

console.log({ firstValue, secondValue });

Generator states are immutable. Pass the returned state into the next operation to continue a sequence, or reuse an earlier state to replay it.

API

  • randomSeed() creates a fresh four-word seed using host entropy.
  • initialize(seed) creates a generator state.
  • validateState(state) validates a generator state without advancing it.
  • next(state) returns a raw 32-bit word and the next state.
  • sample(state, bound, maximumAttempts?) returns an unbiased integer in [0, bound) for bounds from 1 through 100.
  • serializeState and restoreState save and resume the current position.
  • payloadOf, valueOf, wordOf, and stateOf extract successful results.

The matching type-level API uses capitalized names: Initialize, ValidateState, Next, Sample, SerializeState, RestoreState, PayloadOf, ValueOf, WordOf, and StateOf.

Operations return structured failures for malformed seeds or states, invalid bounds, and exhausted sampling attempts. Check result.ok before using an extractor when an operation can fail.

Reproducibility and safety

Reproducing a sequence requires the same seed or serialized state and the same package version. Serialized generator states use schema version 1.

This generator is deterministic, not cryptographically secure. Do not use it for secrets, authentication, security decisions, or wagering.