import { Media } from "../types/index.ts";
type MatchCriteria = {
    title?: string;
    year?: string;
    date?: string;
    duration?: string;
};
/** Calculates a match score between a media item and target properties
 *
 * For movies/series:
 * Score range `[0 <-> 170]`
 *
 * For channels:
 * Score range `[0 <-> 100]`
 *
 * Scoring breakdown:
 * - `Title` similarity (`up to 100 points`): Based on cosine similarity of the media title and target title, scaled to 100.
 * - `Year` match (`50 points`): If the media's release year matches the target year, add 50 points.
 * - `Duration` similarity (`up to 20 points`): Based on how close the media's duration is to the target duration, with a maximum of 20 points for an exact match and decreasing as the difference increases.
 *
 * @argument title -  Match is considered true when similarity is 80 points or higher
 */
export declare function calculateMatchScore(criteria: MatchCriteria, media: Media): number;
/**
 * Helper function for name similarity scoring
 * @param itemName - The name of the item to compare
 * @param targetName - The target name to compare against
 * @returns The calculated distance score ( Thee lower the score, the more similar the names are )
 */
export declare function advanceLevenshteinDistance(itemName: string | null | undefined, targetName: string | null | undefined): number;
/**
 * Basic Levenshtein implementation for string similarity
 * @param a - First string
 * @param b - Second string
 * @returns The Levenshtein distance between the two strings
 */
export declare function levenshteinDistance(a: string, b: string): number;
/**
 *  Cosine similarity for string comparison based on word frequency vectors
 *  @param a - First string
 *  @param b - Second string
 *  @returns The cosine similarity score between the two strings (0 to 1, where 1 means identical)
 */
export declare function cosineSimilarity(a: string, b: string): number;
export {};