//#region ../infra/src/wasm/warmup.d.ts
/**
 * All available ML pipelines in the SDK.
 * - 'selfie' - Face detection for selfie capture (default 4-model bundle)
 * - 'onDeviceSelfie' - Face detection + on-device liveness + age estimation
 *   (6-model bundle for the on-device face-results submission flow). Mutually
 *   exclusive with 'selfie' for a given session — both use FaceProcessingApi.
 * - 'idCapture' - Document detection for ID capture
 * - 'videoSelfie' - Face detection tuned for the video-selfie flow
 *   (frame-aggregation best-shot; same 4-model bundle as 'selfie').
 * - 'videoSelfieId' - Document detection tuned for the video-selfie flow
 *   (simplified ID capture, no capturing-manager timer).
 */
type WasmPipeline = 'selfie' | 'onDeviceSelfie' | 'idCapture' | 'videoSelfie' | 'videoSelfieId';
interface WarmupConfig {
  /**
   * Self-hosted WASM root directory. When set, resolves standard filenames
   * (`webLib.wasm`, `webLib.js`, `models/`, etc.) under this path.
   * Individual path fields override values derived from `basePath`.
   * Pin a specific ml-wasm-kit version here when self-hosting so SDK updates
   * do not change which binaries your app loads.
   */
  basePath?: string;
  wasmPath: string;
  wasmSimdPath?: string;
  glueCodePath: string;
  /**
   * Path to the SIMD-optimized WASM glue code (paired with `wasmSimdPath`).
   * If omitted, defaults to a sibling `.js` derived from `wasmSimdPath`.
   */
  glueCodeSimdPath?: string;
  useSimd?: boolean;
  pipelines?: readonly WasmPipeline[];
  /**
   * Base path for ML model files. Models will be loaded from `${modelsBasePath}/${modelFileName}`.
   * If not provided, models are expected to be in the same directory as the WASM files.
   */
  modelsBasePath?: string;
  /**
   * Custom model files per pipeline. If not provided, uses default models.
   * Keys are pipeline names, values are arrays of model file names.
   */
  pipelineModels?: Partial<Record<WasmPipeline, string[]>>;
  /**
   * On-device mode. When true, the native WASM module skips full fingerprint
   * collection on init and keeps only the device-detection DTO. Applied just
   * before the WASM module initializes. Omit to leave the current setting
   * (e.g. one already set via setup()'s `fingerprint` option) unchanged.
   */
  onDeviceMode?: boolean;
}
/**
 * Preloads WASM binary and ML models at app startup.
 * Runs asynchronously - app can continue while WASM loads in background.
 *
 * Model files are automatically loaded based on the pipeline type.
 * By default, models are expected in a 'models' subdirectory relative to the WASM binary.
 *
 * @param config - Configuration for WASM warmup
 * @returns Promise that resolves when WASM is ready
 *
 * @example
 * ```ts
 * // Basic usage - models loaded from /wasm/v2/models/
 * warmupWasm({
 *   wasmPath: '/wasm/v2/ml-wasm.wasm',
 *   glueCodePath: '/wasm/v2/ml-wasm.js',
 *   pipelines: ['selfie', 'idCapture'],
 * });
 *
 * // With explicit models path
 * warmupWasm({
 *   wasmPath: '/wasm/v2/ml-wasm.wasm',
 *   glueCodePath: '/wasm/v2/ml-wasm.js',
 *   modelsBasePath: 'https://cdn.example.com/wasm/v2/models',
 *   pipelines: ['selfie'],
 * });
 * ```
 */
declare function warmupWasm(config: WarmupConfig): Promise<void>;
//#endregion
export { WasmPipeline as n, warmupWasm as r, WarmupConfig as t };