import { IExpanded } from '../types/thai-address.d';
import { IProvince, IWord } from '../types/preprocess';
/**
 * This function processes a nested data structure of provinces, districts, and sub-districts,
 * and maps it to a flat structure containing expanded details of each sub-district with corresponding
 * postal codes and labels based on provided words.
 *
 * @param data - An array of provinces where each province contains an array of districts,
 *               and each district contains an array of sub-districts.
 * @param words - An array of words used to map numeric indices in provinces, districts,
 *                and sub-districts to human-readable names.
 * @param geos Optional 2D array of geo IDs, where each entry is an array of numbers representing
 *             specific geographic identifiers (e.g., province, district, or sub-district) that
 *             correspond to the locations in the data. These geo IDs can be used to filter or
 *             match specific regions in the dataset.
 *
 * @returns An array of IExpanded objects, each containing:
 *          - province name
 *          - district name
 *          - sub-district name
 *          - postal code as a string
 */
export declare const preprocess: (data: IProvince[], words: string[], geos?: (number | boolean)[]) => IExpanded[];
/**
 * The `preprocess_word` function is used to transform word data from an `IWord` object
 * into an array of strings. It also allows for conditional processing based on whether
 * the transformation should be done for English or not (through the `eng` parameter).
 *
 * @param data The `IWord` object containing the word data to be processed.
 * @param eng A boolean flag that, if true, will process the data in English, otherwise it processes in Thai.
 * @returns An array of strings that have been processed and transformed.
 */
export declare const preprocess_word: (data: IWord, eng?: boolean) => string[];