didyoumean2/dist/index.d.mts

a library for matching human-quality input to a list of potential matches using the Levenshtein distance algorithm

declare enum ReturnTypeEnums {
    ALL_CLOSEST_MATCHES = "all-closest-matches",
    ALL_MATCHES = "all-matches",
    ALL_SORTED_MATCHES = "all-sorted-matches",
    FIRST_CLOSEST_MATCH = "first-closest-match",
    FIRST_MATCH = "first-match"
}

declare enum ThresholdTypeEnums {
    EDIT_DISTANCE = "edit-distance",
    SIMILARITY = "similarity"
}

type MatchItem = Record<string, unknown> | string;
type Options = {
    readonly caseSensitive: boolean;
    readonly deburr: boolean;
    readonly matchPath: ReadonlyArray<number | string>;
    readonly returnType: ReturnTypeEnums;
    readonly threshold: number;
    readonly thresholdType: ThresholdTypeEnums;
    readonly trimSpaces: boolean;
};

declare function didYouMean<T extends MatchItem>(input: string, matchList: ReadonlyArray<T>, options?: Partial<Options> & {
    readonly returnType?: ReturnTypeEnums.FIRST_CLOSEST_MATCH | ReturnTypeEnums.FIRST_MATCH;
}): T | null;
declare function didYouMean<T extends MatchItem>(input: string, matchList: ReadonlyArray<T>, options: Partial<Options> & {
    readonly returnType: ReturnTypeEnums.ALL_CLOSEST_MATCHES | ReturnTypeEnums.ALL_MATCHES | ReturnTypeEnums.ALL_SORTED_MATCHES;
}): T[];

export { ReturnTypeEnums, ThresholdTypeEnums, didYouMean as default };