import { prng } from 'seedrandom';
export default class StdRandom {
    static _seed: number;
    static _random: prng;
    /**
     * Sets the seed of the pseudo-random number generator.
     * This method enables you to produce the same sequence of "random"
     * number for each execution of the program.
     * Ordinarily, you should call this method at most once per program.
     *
     * @param seed the seed
     */
    static setSeed(seed: number): void;
    /**
     * Returns a random real number uniformly in [0, 1).
     *
     * @return     a random real number uniformly in [0, 1)
     */
    static random(): number;
    /**
     * Get random number from a to b(not included), [a, b).
     * If b is omitted, the range is [0, a)
     * @param a
     * @param b
     */
    static uniform(a?: number, b?: number): number;
    /**
     * Returns a random boolean from a Bernoulli distribution with success
     *   probability **p**.
     * @param p probability， 0 ~ 1， e.g. 0.25
     */
    static bernoulli(p: number): boolean;
    /**
     * Returns a random real number from a Gaussian distribution with mean μ
     * and standard deviation σ.
     *
     * @param  mu the mean
     * @param  sigma the standard deviation
     * @return a real number distributed according to the Gaussian distribution
     */
    static gaussian(mu?: number, sigma?: number): number;
    /**
     * Returns a random integer from the specified discrete distribution.
     *
     * @param  probabilities the probability of occurrence of each integer
     * @return a random integer from a discrete distribution:
     *         i with probability probabilities[i]
     * @throws Error if probabilities is null
     * @throws Error if sum of array entries is not (very nearly) equal to 1.0
     * @throws Error unless probabilities[i] >= 0.0 for each index i
     */
    static discrete(probabilities: number[]): number;
    /**
     * Shuffle array
     * @param arr
     */
    static shuffle(arr: Array<any>): void;
}