/**
 * Jaro-Winkler Distance
 * src/metric/JaroWinkler.ts
 *
 * @see https://en.wikipedia.org/wiki/Jaro%E2%80%93Winkler_distance
 *
 * The Jaro-Winkler distance is a string similarity metric that gives more weight
 * to matching characters at the start of the strings. It is especially effective
 * for short strings and typographical errors, and is widely used in record linkage
 * and duplicate detection.
 *
 * @module Metric
 * @name JaroWinkler
 * @author Paul Köhler (komed3)
 * @license MIT
 */
import type { MetricCompute, MetricInput, MetricOptions } from '../utils/Types';
import { Metric } from './Metric';
export interface JaroWinklerRaw {
    matchWindow: number;
    matches: number;
    transpos: number;
    jaro: number;
    prefix: number;
}
/**
 * JaroWinklerDistance class extends the Metric class to implement the Jaro-Winkler algorithm.
 */
export declare class JaroWinklerDistance extends Metric<JaroWinklerRaw> {
    /**
     * Constructor for the JaroWinklerDistance class.
     *
     * Initializes the Jaro-Winkler metric with two input strings or
     * arrays of strings and optional options.
     *
     * Metric is symmetrical.
     *
     * @param {MetricInput} a - First input string or array of strings
     * @param {MetricInput} b - Second input string or array of strings
     * @param {MetricOptions} [opt] - Options for the metric computation
     */
    constructor(a: MetricInput, b: MetricInput, opt?: MetricOptions);
    /**
     * Calculates the Jaro-Winkler similarity between two strings.
     *
     * @param {string} a - First string
     * @param {string} b - Second string
     * @param {number} m - Length of the first string
     * @param {number} n - Length of the second string
     * @return {MetricCompute< JaroWinklerRaw >} - Object containing the similarity result and raw values
     */
    protected compute(a: string, b: string, m: number, n: number): MetricCompute<JaroWinklerRaw>;
}