import type { Distribution } from '../types/configs.ts';
/**
 * Seeded pseudo-random number generator using xoshiro128** algorithm.
 * Provides deterministic random number generation from a single integer seed.
 * The seed is expanded into 4 state words using splitmix32.
 */
export declare class SeededRNG {
    private s0;
    private s1;
    private s2;
    private s3;
    constructor(seed?: number);
    /**
     * Initialize internal state from a single integer seed using splitmix32
     * to expand into the 4 state words required by xoshiro128**.
     */
    seed(n: number): void;
    /**
     * splitmix32: a simple 32-bit state hash used to expand a seed.
     */
    private splitmix32;
    /**
     * Generate the next random number in [0, 1) using xoshiro128**.
     */
    random(): number;
    /**
     * xoshiro128** core: produces a 32-bit unsigned integer.
     */
    private xoshiro128ss;
    /**
     * Sample from a uniform distribution in [min, max).
     */
    uniform(min: number, max: number): number;
    /**
     * Sample from an exponential distribution with the given mean.
     * Uses inverse transform sampling: -mean * ln(1 - U).
     */
    exponential(mean: number): number;
    /**
     * Sample from a log-normal distribution with parameters mu and sigma.
     * Uses Box-Muller transform to generate a normal sample, then exponentiates.
     */
    logNormal(mu: number, sigma: number): number;
    /**
     * Box-Muller transform: generate a standard normal sample from two uniform samples.
     */
    private boxMullerNormal;
    /**
     * Convenience method: sample from a Distribution config object.
     */
    sampleDistribution(dist: Distribution): number;
}
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