import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { DescribeDataSourcesInput, DescribeDataSourcesOutput } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link DescribeDataSourcesCommand}.
 */
export interface DescribeDataSourcesCommandInput extends DescribeDataSourcesInput {
}
/**
 * @public
 *
 * The output of {@link DescribeDataSourcesCommand}.
 */
export interface DescribeDataSourcesCommandOutput extends DescribeDataSourcesOutput, __MetadataBearer {
}
declare const DescribeDataSourcesCommand_base: {
    new (input: DescribeDataSourcesCommandInput): import("@smithy/core/client").CommandImpl<DescribeDataSourcesCommandInput, DescribeDataSourcesCommandOutput, import("..").MachineLearningClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (...[input]: [] | [DescribeDataSourcesCommandInput]): import("@smithy/core/client").CommandImpl<DescribeDataSourcesCommandInput, DescribeDataSourcesCommandOutput, import("..").MachineLearningClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <p>Returns a list of <code>DataSource</code> that match the search criteria in the request.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { MachineLearningClient, DescribeDataSourcesCommand } from "@aws-sdk/client-machine-learning"; // ES Modules import
 * // const { MachineLearningClient, DescribeDataSourcesCommand } = 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 = { // DescribeDataSourcesInput
 *   FilterVariable: "CreatedAt" || "LastUpdatedAt" || "Status" || "Name" || "DataLocationS3" || "IAMUser",
 *   EQ: "STRING_VALUE",
 *   GT: "STRING_VALUE",
 *   LT: "STRING_VALUE",
 *   GE: "STRING_VALUE",
 *   LE: "STRING_VALUE",
 *   NE: "STRING_VALUE",
 *   Prefix: "STRING_VALUE",
 *   SortOrder: "asc" || "dsc",
 *   NextToken: "STRING_VALUE",
 *   Limit: Number("int"),
 * };
 * const command = new DescribeDataSourcesCommand(input);
 * const response = await client.send(command);
 * // { // DescribeDataSourcesOutput
 * //   Results: [ // DataSources
 * //     { // DataSource
 * //       DataSourceId: "STRING_VALUE",
 * //       DataLocationS3: "STRING_VALUE",
 * //       DataRearrangement: "STRING_VALUE",
 * //       CreatedByIamUser: "STRING_VALUE",
 * //       CreatedAt: new Date("TIMESTAMP"),
 * //       LastUpdatedAt: new Date("TIMESTAMP"),
 * //       DataSizeInBytes: Number("long"),
 * //       NumberOfFiles: Number("long"),
 * //       Name: "STRING_VALUE",
 * //       Status: "PENDING" || "INPROGRESS" || "FAILED" || "COMPLETED" || "DELETED",
 * //       Message: "STRING_VALUE",
 * //       RedshiftMetadata: { // RedshiftMetadata
 * //         RedshiftDatabase: { // RedshiftDatabase
 * //           DatabaseName: "STRING_VALUE", // required
 * //           ClusterIdentifier: "STRING_VALUE", // required
 * //         },
 * //         DatabaseUserName: "STRING_VALUE",
 * //         SelectSqlQuery: "STRING_VALUE",
 * //       },
 * //       RDSMetadata: { // RDSMetadata
 * //         Database: { // RDSDatabase
 * //           InstanceIdentifier: "STRING_VALUE", // required
 * //           DatabaseName: "STRING_VALUE", // required
 * //         },
 * //         DatabaseUserName: "STRING_VALUE",
 * //         SelectSqlQuery: "STRING_VALUE",
 * //         ResourceRole: "STRING_VALUE",
 * //         ServiceRole: "STRING_VALUE",
 * //         DataPipelineId: "STRING_VALUE",
 * //       },
 * //       RoleARN: "STRING_VALUE",
 * //       ComputeStatistics: true || false,
 * //       ComputeTime: Number("long"),
 * //       FinishedAt: new Date("TIMESTAMP"),
 * //       StartedAt: new Date("TIMESTAMP"),
 * //     },
 * //   ],
 * //   NextToken: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param DescribeDataSourcesCommandInput - {@link DescribeDataSourcesCommandInput}
 * @returns {@link DescribeDataSourcesCommandOutput}
 * @see {@link DescribeDataSourcesCommandInput} for command's `input` shape.
 * @see {@link DescribeDataSourcesCommandOutput} 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 MachineLearningServiceException}
 * <p>Base exception class for all service exceptions from MachineLearning service.</p>
 *
 *
 * @public
 */
export declare class DescribeDataSourcesCommand extends DescribeDataSourcesCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: DescribeDataSourcesInput;
            output: DescribeDataSourcesOutput;
        };
        sdk: {
            input: DescribeDataSourcesCommandInput;
            output: DescribeDataSourcesCommandOutput;
        };
    };
}