import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { DeleteDataSourceInput, DeleteDataSourceOutput } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link DeleteDataSourceCommand}.
 */
export interface DeleteDataSourceCommandInput extends DeleteDataSourceInput {
}
/**
 * @public
 *
 * The output of {@link DeleteDataSourceCommand}.
 */
export interface DeleteDataSourceCommandOutput extends DeleteDataSourceOutput, __MetadataBearer {
}
declare const DeleteDataSourceCommand_base: {
    new (input: DeleteDataSourceCommandInput): import("@smithy/core/client").CommandImpl<DeleteDataSourceCommandInput, DeleteDataSourceCommandOutput, import("..").MachineLearningClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (input: DeleteDataSourceCommandInput): import("@smithy/core/client").CommandImpl<DeleteDataSourceCommandInput, DeleteDataSourceCommandOutput, import("..").MachineLearningClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <p>Assigns the DELETED status to a <code>DataSource</code>, rendering it unusable.</p>
 *         <p>After using the <code>DeleteDataSource</code> operation, you can use the <a>GetDataSource</a> operation to verify that the status of the <code>DataSource</code> changed to DELETED.</p>
 *         <p>
 *             <b>Caution:</b> The results of the <code>DeleteDataSource</code> operation are irreversible.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { MachineLearningClient, DeleteDataSourceCommand } from "@aws-sdk/client-machine-learning"; // ES Modules import
 * // const { MachineLearningClient, DeleteDataSourceCommand } = require("@aws-sdk/client-machine-learning"); // CommonJS import
 * // import type { MachineLearningClientConfig } from "@aws-sdk/client-machine-learning";
 * const config = {}; // type is MachineLearningClientConfig
 * const client = new MachineLearningClient(config);
 * const input = { // DeleteDataSourceInput
 *   DataSourceId: "STRING_VALUE", // required
 * };
 * const command = new DeleteDataSourceCommand(input);
 * const response = await client.send(command);
 * // { // DeleteDataSourceOutput
 * //   DataSourceId: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param DeleteDataSourceCommandInput - {@link DeleteDataSourceCommandInput}
 * @returns {@link DeleteDataSourceCommandOutput}
 * @see {@link DeleteDataSourceCommandInput} for command's `input` shape.
 * @see {@link DeleteDataSourceCommandOutput} for command's `response` shape.
 * @see {@link MachineLearningClientResolvedConfig | config} for MachineLearningClient's `config` shape.
 *
 * @throws {@link InternalServerException} (server fault)
 *  <p>An error on the server occurred when trying to process a request.</p>
 *
 * @throws {@link InvalidInputException} (client fault)
 *  <p>An error on the client occurred. Typically, the cause is an invalid input value.</p>
 *
 * @throws {@link ResourceNotFoundException} (client fault)
 *  <p>A specified resource cannot be located.</p>
 *
 * @throws {@link MachineLearningServiceException}
 * <p>Base exception class for all service exceptions from MachineLearning service.</p>
 *
 *
 * @public
 */
export declare class DeleteDataSourceCommand extends DeleteDataSourceCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: DeleteDataSourceInput;
            output: DeleteDataSourceOutput;
        };
        sdk: {
            input: DeleteDataSourceCommandInput;
            output: DeleteDataSourceCommandOutput;
        };
    };
}