import { type RandomIntRange } from './random-int.js';
/**
 * Preset distribution types for random sampling.
 */
export type DistributionPreset = 'uniform' | 'normal' | 'triangular' | 'right-skewed' | 'left-skewed';
/**
 * Bimodal distribution configuration with peak positions.
 */
export type BimodalDistribution = {
    type: 'bimodal';
    /**
     * Peak positions normalized to [0,1].
     * Defaults to [0.25, 0.75] if not specified.
     */
    peaks?: [number, number];
};
/**
 * Custom distribution configuration with a weight function.
 */
export type CustomDistribution = {
    type: 'custom';
    /**
     * Weight function that maps normalized position [0,1] to weight [0,∞).
     * Higher weight means higher probability.
     * @param t - Normalized position in range [0,1]
     * @returns Weight value (should be >= 0)
     */
    weight: (t: number) => number;
};
/**
 * Samples a random integer from the specified distribution within the given range.
 * When min >= max, returns min regardless of the distribution type.
 * @param range - Random range specification
 * @param distribution - Distribution type or custom configuration
 * @returns A random integer within [min, max) following the distribution, or min when min >= max
 */
export declare function sampleDistribution(range: RandomIntRange, distribution?: DistributionPreset | BimodalDistribution | CustomDistribution): number;