/**
 * Xoshiro128**: a seedable pseudo-random number generator by Blackman & Vigna (2018).
 * Recommended for reproducible randomness (testing, simulations, procedural generation).
 *
 * DO NOT USE when security matters — use the Web Crypto API (`crypto.getRandomValues`) instead.
 *
 * Xoshiro128** has a 2^128-1 period and passes BigCrush.
 * It uses pure 32-bit arithmetic (shifts, rotates, XOR, multiply)
 * making it very fast in JavaScript via `Math.imul`.
 *
 * Xoshiro128** passes all 11 distribution quality tests at 10M samples,
 * performing on par with `Math.random` (V8's xorshift128+):
 *
 * - mean, variance, chi-squared uniformity, Kolmogorov-Smirnov
 * - lag-1 through lag-8 autocorrelation
 * - runs test, gap test, permutation test (triples)
 * - bit-level frequency (bits 0-7)
 * - 2D serial pairs (25x25 through 200x200 grids)
 * - birthday spacings (Marsaglia parameters)
 *
 * Speed is near-native (~4% slower than `Math.random`) and ~18% faster than Alea
 * (~14.4M ops/sec vs ~15.0M and ~12.2M respectively).
 *
 * To reproduce:
 *
 * ```bash
 * npm run benchmark_random_quality          # distribution tests (N=1M)
 * npm run benchmark_random_quality -- --deep # thorough (N=10M, multi-trial)
 * npm run benchmark_random                  # speed comparison
 * ```
 *
 * @see https://prng.di.unimi.it/
 * @see https://vigna.di.unimi.it/ftp/papers/ScrambledLinear.pdf
 *
 * @module
 */
export interface RandomXoshiro {
    (): number;
    uint32: () => number;
    fract53: () => number;
    version: string;
    seed: number;
}
/**
 * Seeded pseudo-random number generator using the Xoshiro128** algorithm.
 * DO NOT USE when security matters, use webcrypto APIs instead.
 *
 * @see https://prng.di.unimi.it/
 */
export declare const create_random_xoshiro: (seed?: number) => RandomXoshiro;
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