import * as $dara from '@darabonba/typescript';
export declare class SubmitTraceAbJobShrinkRequest extends $dara.Model {
    /**
     * @remarks
     * The Base64-encoded encryption key.
     *
     * @example
     * Qh6OdgIMcliQSI1fReOw****
     */
    cipherBase64ed?: string;
    /**
     * @remarks
     * The input video for the A/B stream forensic watermarking job.
     *
     * > - The Object Storage Service (OSS) file or media asset must be in the same region where Intelligent Media Services (IMS) is deployed.
     * >
     * > - This operation supports only videos that are three minutes or longer. Using a shorter video may cause the API call to fail or produce no output.
     *
     * This parameter is required.
     */
    inputShrink?: string;
    /**
     * @remarks
     * The watermark level, which specifies the embedding channel. Valid values: `0` (U channel), `1` (UV channels), and `2` (YUV channels).
     *
     * @example
     * 0
     */
    level?: number;
    /**
     * @remarks
     * The output location for the A/B stream job. This must be an OSS directory.
     *
     * This parameter is required.
     */
    outputShrink?: string;
    /**
     * @remarks
     * The start time for watermark embedding, in seconds.
     *
     * @example
     * 0
     */
    startTime?: number;
    /**
     * @remarks
     * The total duration for watermark embedding, in seconds.
     *
     * @example
     * 360
     */
    totalTime?: number;
    /**
     * @remarks
     * User data to include in the request. The maximum length is 1,024 bytes.
     *
     * @example
     * 123
     */
    userData?: string;
    static names(): {
        [key: string]: string;
    };
    static types(): {
        [key: string]: any;
    };
    validate(): void;
    constructor(map?: {
        [key: string]: any;
    });
}