/**
 * @copyright Sister Software
 * @license AGPL-3.0
 * @author Teffen Ellis, et al.
 *
 *   Fetch Singapore's ACRA corporate-entity register from data.gov.sg: 27 monthly CSVs (one per first
 *   letter of the entity name plus "others"), 53 columns, the registered address FIELDED — `Block`,
 *   `Street Name`, `Level No`, `Unit No`, `Building Name`, `Postal Code` — which is the NPPES shape,
 *   so the corpus adapter renders the string and the spans fall out by construction. A Singapore
 *   postcode names one building, so the postcode column is also the join to the OneMap/Overture rows.
 *
 *   License: Singapore Open Data Licence version 1.0 (attribution; commercial use, modification and
 *   adaptation permitted; no share-alike). The prescribed attribution sentence goes in the manifest.
 *
 *   data.gov.sg serves a dataset in two calls: `initiate-download` prepares a signed URL and
 *   `poll-download` answers it once the export is ready.
 *
 *   Invoke via `mailwoman corpus fetch acra-sg --out-root <path>`.
 */
import type { BaseFetchOptions, FetchSummary } from "#tools/fetch/download/index";
export type FetchACRASGOptions = BaseFetchOptions;
export declare function fetchACRASG(options: FetchACRASGOptions, report?: (line: string) => void): Promise<FetchSummary>;
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