/**
 * Needleman-Wunsch Algorithm
 * src/metric/NeedlemanWunsch.ts
 *
 * @see https://en.wikipedia.org/wiki/Needleman%E2%80%93Wunsch_algorithm
 *
 * The Needleman-Wunsch algorithm performs global alignment, aligning two strings
 * entirely, including gaps. It is commonly used in bioinformatics for sequence
 * alignment.
 *
 * @module Metric
 * @name NeedlemanWunsch
 * @author Paul Köhler (komed3)
 * @license MIT
 */
import type { MetricCompute, MetricInput, MetricOptions } from '../utils/Types';
import { Metric } from './Metric';
export interface NeedlemanRaw {
    score: number;
    denum: number;
}
/**
 * NeedlemanWunschDistance class extends the Metric class to implement the Needleman-Wunsch algorithm.
 */
export declare class NeedlemanWunschDistance extends Metric<NeedlemanRaw> {
    /**
     * Constructor for the NeedlemanWunsch class.
     *
     * Initializes the Needleman-Wunsch 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 Needleman-Wunsch global alignment score 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
     * @param {number} maxLen - Maximum length of the strings
     * @return {MetricCompute< NeedlemanRaw >} - Object containing the similarity result and raw score
     */
    protected compute(a: string, b: string, m: number, n: number, maxLen: number): MetricCompute<NeedlemanRaw>;
}