import { Card, Hand } from '@poker-apprentice/types';
import { EquityResult } from './types';
export interface SimulateOptions {
    allHoleCards: Hand[];
    communityCards: Card[];
    expectedCommunityCardCount: number;
    expectedHoleCardCount: number;
    minimumHoleCardsUsed: number;
    maximumHoleCardsUsed: number;
    /** Number of random scenarios to evaluate between yields (default 1). */
    samplesPerUpdate?: number;
}
/**
 * Approximates the equity of each hand via Monte Carlo simulation, repeatedly dealing the
 * not-yet-dealt cards uniformly at random and evaluating every hand.  Unlike `equity`, the
 * generator never exhausts: consumers decide when the accumulated `total` (and therefore the
 * accuracy of `equity`) is sufficient and stop iterating.
 * @param {SimulateOptions} options The hands to compare and game rules to apply.
 * @yields {EquityResult[]} The accumulated results of all simulated scenarios so far.
 * @returns {EquityResult[]} The accumulated results of all simulated scenarios.
 */
export declare function simulate({ allHoleCards, samplesPerUpdate, ...options }: SimulateOptions): Generator<EquityResult[], EquityResult[]>;