import { Collection, Token } from '../../models';
import { IScoringHandler } from '../scoring-handler';
export declare class JaccardDistanceScoringHandler implements IScoringHandler {
    /**
     * @description Calculate the score of each token.
     * @param collection
     * @param tokens
     * @returns The scores of each token, which has the same order with tokens.
     */
    scoreTokens(collection: Collection, tokens: Token[]): number[];
    /**
     * @description Calculate the score of each token.
     * The token score is defined as the sum of Jaccard Distance between this token and all other token.
     * @param tokenIds Indicate all tokens using tokenId.
     * @param indexesList Indicate the token traits using indexes, and the indexes list has the same order with tokenIds.
     * @returns The scores of each token, which has the same order with tokenIds.
     */
    private calcScores;
    /**
     * @description We use the Jaccard Distance as the algorithm for calculating the difference between two sets,
     * you can get more information from here: https://en.wikipedia.org/wiki/Jaccard_index.
     * @param traitsA The traits set of token A.
     * @param traitsB The traits set of token B.
     * @returns Distance. The distance indicate the difference between two sets. The bigger the distance, the more different between two sets.
     */
    private calcDistance;
    private normalizeScores;
}