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index.js206 KB · 4386 lines
"use strict";var __defProp = Object.defineProperty;var __getOwnPropDesc = Object.getOwnPropertyDescriptor;var __getOwnPropNames = Object.getOwnPropertyNames;var __hasOwnProp = Object.prototype.hasOwnProperty;var __name = (target, value) => __defProp(target, "name", { value, configurable: true });var __export = (target, all) => {  for (var name in all)    __defProp(target, name, { get: all[name], enumerable: true });};var __copyProps = (to, from, except, desc) => {  if (from && typeof from === "object" || typeof from === "function") {    for (let key of __getOwnPropNames(from))      if (!__hasOwnProp.call(to, key) && key !== except)        __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });  }  return to;};var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod); // src/index.tsvar index_exports = {};__export(index_exports, {  AccessDeniedException: () => AccessDeniedException,  AudienceExportJobStatus: () => AudienceExportJobStatus,  AudienceGenerationJobDataSourceFilterSensitiveLog: () => AudienceGenerationJobDataSourceFilterSensitiveLog,  AudienceGenerationJobStatus: () => AudienceGenerationJobStatus,  AudienceModelStatus: () => AudienceModelStatus,  AudienceSizeType: () => AudienceSizeType,  CancelTrainedModelCommand: () => CancelTrainedModelCommand,  CancelTrainedModelInferenceJobCommand: () => CancelTrainedModelInferenceJobCommand,  CleanRoomsML: () => CleanRoomsML,  CleanRoomsMLClient: () => CleanRoomsMLClient,  CleanRoomsMLServiceException: () => CleanRoomsMLServiceException,  ColumnType: () => ColumnType,  ComputeConfiguration: () => ComputeConfiguration,  ConfiguredAudienceModelStatus: () => ConfiguredAudienceModelStatus,  ConflictException: () => ConflictException,  CreateAudienceModelCommand: () => CreateAudienceModelCommand,  CreateConfiguredAudienceModelCommand: () => CreateConfiguredAudienceModelCommand,  CreateConfiguredModelAlgorithmAssociationCommand: () => CreateConfiguredModelAlgorithmAssociationCommand,  CreateConfiguredModelAlgorithmCommand: () => CreateConfiguredModelAlgorithmCommand,  CreateMLInputChannelCommand: () => CreateMLInputChannelCommand,  CreateMLInputChannelRequestFilterSensitiveLog: () => CreateMLInputChannelRequestFilterSensitiveLog,  CreateTrainedModelCommand: () => CreateTrainedModelCommand,  CreateTrainingDatasetCommand: () => CreateTrainingDatasetCommand,  DatasetType: () => DatasetType,  DeleteAudienceGenerationJobCommand: () => DeleteAudienceGenerationJobCommand,  DeleteAudienceModelCommand: () => DeleteAudienceModelCommand,  DeleteConfiguredAudienceModelCommand: () => DeleteConfiguredAudienceModelCommand,  DeleteConfiguredAudienceModelPolicyCommand: () => DeleteConfiguredAudienceModelPolicyCommand,  DeleteConfiguredModelAlgorithmAssociationCommand: () => DeleteConfiguredModelAlgorithmAssociationCommand,  DeleteConfiguredModelAlgorithmCommand: () => DeleteConfiguredModelAlgorithmCommand,  DeleteMLConfigurationCommand: () => DeleteMLConfigurationCommand,  DeleteMLInputChannelDataCommand: () => DeleteMLInputChannelDataCommand,  DeleteTrainedModelOutputCommand: () => DeleteTrainedModelOutputCommand,  DeleteTrainingDatasetCommand: () => DeleteTrainingDatasetCommand,  EntityType: () => EntityType,  GetAudienceGenerationJobCommand: () => GetAudienceGenerationJobCommand,  GetAudienceGenerationJobResponseFilterSensitiveLog: () => GetAudienceGenerationJobResponseFilterSensitiveLog,  GetAudienceModelCommand: () => GetAudienceModelCommand,  GetCollaborationConfiguredModelAlgorithmAssociationCommand: () => GetCollaborationConfiguredModelAlgorithmAssociationCommand,  GetCollaborationMLInputChannelCommand: () => GetCollaborationMLInputChannelCommand,  GetCollaborationTrainedModelCommand: () => GetCollaborationTrainedModelCommand,  GetConfiguredAudienceModelCommand: () => GetConfiguredAudienceModelCommand,  GetConfiguredAudienceModelPolicyCommand: () => GetConfiguredAudienceModelPolicyCommand,  GetConfiguredModelAlgorithmAssociationCommand: () => GetConfiguredModelAlgorithmAssociationCommand,  GetConfiguredModelAlgorithmCommand: () => GetConfiguredModelAlgorithmCommand,  GetMLConfigurationCommand: () => GetMLConfigurationCommand,  GetMLInputChannelCommand: () => GetMLInputChannelCommand,  GetMLInputChannelResponseFilterSensitiveLog: () => GetMLInputChannelResponseFilterSensitiveLog,  GetTrainedModelCommand: () => GetTrainedModelCommand,  GetTrainedModelInferenceJobCommand: () => GetTrainedModelInferenceJobCommand,  GetTrainingDatasetCommand: () => GetTrainingDatasetCommand,  InferenceInstanceType: () => InferenceInstanceType,  InputChannelDataSource: () => InputChannelDataSource,  InputChannelDataSourceFilterSensitiveLog: () => InputChannelDataSourceFilterSensitiveLog,  InputChannelFilterSensitiveLog: () => InputChannelFilterSensitiveLog,  InternalServiceException: () => InternalServiceException,  ListAudienceExportJobsCommand: () => ListAudienceExportJobsCommand,  ListAudienceGenerationJobsCommand: () => ListAudienceGenerationJobsCommand,  ListAudienceModelsCommand: () => ListAudienceModelsCommand,  ListCollaborationConfiguredModelAlgorithmAssociationsCommand: () => ListCollaborationConfiguredModelAlgorithmAssociationsCommand,  ListCollaborationMLInputChannelsCommand: () => ListCollaborationMLInputChannelsCommand,  ListCollaborationTrainedModelExportJobsCommand: () => ListCollaborationTrainedModelExportJobsCommand,  ListCollaborationTrainedModelInferenceJobsCommand: () => ListCollaborationTrainedModelInferenceJobsCommand,  ListCollaborationTrainedModelsCommand: () => ListCollaborationTrainedModelsCommand,  ListConfiguredAudienceModelsCommand: () => ListConfiguredAudienceModelsCommand,  ListConfiguredModelAlgorithmAssociationsCommand: () => ListConfiguredModelAlgorithmAssociationsCommand,  ListConfiguredModelAlgorithmsCommand: () => ListConfiguredModelAlgorithmsCommand,  ListMLInputChannelsCommand: () => ListMLInputChannelsCommand,  ListTagsForResourceCommand: () => ListTagsForResourceCommand,  ListTrainedModelInferenceJobsCommand: () => ListTrainedModelInferenceJobsCommand,  ListTrainedModelVersionsCommand: () => ListTrainedModelVersionsCommand,  ListTrainedModelsCommand: () => ListTrainedModelsCommand,  ListTrainingDatasetsCommand: () => ListTrainingDatasetsCommand,  LogType: () => LogType,  LogsStatus: () => LogsStatus,  MLInputChannelStatus: () => MLInputChannelStatus,  MetricsStatus: () => MetricsStatus,  NoiseLevelType: () => NoiseLevelType,  PolicyExistenceCondition: () => PolicyExistenceCondition,  ProtectedQueryInputParametersFilterSensitiveLog: () => ProtectedQueryInputParametersFilterSensitiveLog,  ProtectedQuerySQLParametersFilterSensitiveLog: () => ProtectedQuerySQLParametersFilterSensitiveLog,  PutConfiguredAudienceModelPolicyCommand: () => PutConfiguredAudienceModelPolicyCommand,  PutMLConfigurationCommand: () => PutMLConfigurationCommand,  ResourceNotFoundException: () => ResourceNotFoundException,  ResultFormat: () => ResultFormat,  S3DataDistributionType: () => S3DataDistributionType,  ServiceQuotaExceededException: () => ServiceQuotaExceededException,  SharedAudienceMetrics: () => SharedAudienceMetrics,  StartAudienceExportJobCommand: () => StartAudienceExportJobCommand,  StartAudienceGenerationJobCommand: () => StartAudienceGenerationJobCommand,  StartAudienceGenerationJobRequestFilterSensitiveLog: () => StartAudienceGenerationJobRequestFilterSensitiveLog,  StartTrainedModelExportJobCommand: () => StartTrainedModelExportJobCommand,  StartTrainedModelInferenceJobCommand: () => StartTrainedModelInferenceJobCommand,  TagOnCreatePolicy: () => TagOnCreatePolicy,  TagResourceCommand: () => TagResourceCommand,  ThrottlingException: () => ThrottlingException,  TrainedModelArtifactMaxSizeUnitType: () => TrainedModelArtifactMaxSizeUnitType,  TrainedModelExportFileType: () => TrainedModelExportFileType,  TrainedModelExportJobStatus: () => TrainedModelExportJobStatus,  TrainedModelExportsMaxSizeUnitType: () => TrainedModelExportsMaxSizeUnitType,  TrainedModelInferenceJobStatus: () => TrainedModelInferenceJobStatus,  TrainedModelInferenceMaxOutputSizeUnitType: () => TrainedModelInferenceMaxOutputSizeUnitType,  TrainedModelStatus: () => TrainedModelStatus,  TrainingDatasetStatus: () => TrainingDatasetStatus,  TrainingInputMode: () => TrainingInputMode,  UntagResourceCommand: () => UntagResourceCommand,  UpdateConfiguredAudienceModelCommand: () => UpdateConfiguredAudienceModelCommand,  ValidationException: () => ValidationException,  WorkerComputeType: () => WorkerComputeType,  _InstanceType: () => _InstanceType,  __Client: () => import_smithy_client.Client,  paginateListAudienceExportJobs: () => paginateListAudienceExportJobs,  paginateListAudienceGenerationJobs: () => paginateListAudienceGenerationJobs,  paginateListAudienceModels: () => paginateListAudienceModels,  paginateListCollaborationConfiguredModelAlgorithmAssociations: () => paginateListCollaborationConfiguredModelAlgorithmAssociations,  paginateListCollaborationMLInputChannels: () => paginateListCollaborationMLInputChannels,  paginateListCollaborationTrainedModelExportJobs: () => paginateListCollaborationTrainedModelExportJobs,  paginateListCollaborationTrainedModelInferenceJobs: () => paginateListCollaborationTrainedModelInferenceJobs,  paginateListCollaborationTrainedModels: () => paginateListCollaborationTrainedModels,  paginateListConfiguredAudienceModels: () => paginateListConfiguredAudienceModels,  paginateListConfiguredModelAlgorithmAssociations: () => paginateListConfiguredModelAlgorithmAssociations,  paginateListConfiguredModelAlgorithms: () => paginateListConfiguredModelAlgorithms,  paginateListMLInputChannels: () => paginateListMLInputChannels,  paginateListTrainedModelInferenceJobs: () => paginateListTrainedModelInferenceJobs,  paginateListTrainedModelVersions: () => paginateListTrainedModelVersions,  paginateListTrainedModels: () => paginateListTrainedModels,  paginateListTrainingDatasets: () => paginateListTrainingDatasets});module.exports = __toCommonJS(index_exports); // src/CleanRoomsMLClient.tsvar import_middleware_host_header = require("@aws-sdk/middleware-host-header");var import_middleware_logger = require("@aws-sdk/middleware-logger");var import_middleware_recursion_detection = require("@aws-sdk/middleware-recursion-detection");var import_middleware_user_agent = require("@aws-sdk/middleware-user-agent");var import_config_resolver = require("@smithy/config-resolver");var import_core = require("@smithy/core");var import_middleware_content_length = require("@smithy/middleware-content-length");var import_middleware_endpoint = require("@smithy/middleware-endpoint");var import_middleware_retry = require("@smithy/middleware-retry"); var import_httpAuthSchemeProvider = require("./auth/httpAuthSchemeProvider"); // src/endpoint/EndpointParameters.tsvar resolveClientEndpointParameters = /* @__PURE__ */ __name((options) => {  return Object.assign(options, {    useDualstackEndpoint: options.useDualstackEndpoint ?? false,    useFipsEndpoint: options.useFipsEndpoint ?? false,    defaultSigningName: "cleanrooms-ml"  });}, "resolveClientEndpointParameters");var commonParams = {  UseFIPS: { type: "builtInParams", name: "useFipsEndpoint" },  Endpoint: { type: "builtInParams", name: "endpoint" },  Region: { type: "builtInParams", name: "region" },  UseDualStack: { type: "builtInParams", name: "useDualstackEndpoint" }}; // src/CleanRoomsMLClient.tsvar import_runtimeConfig = require("././runtimeConfig"); // src/runtimeExtensions.tsvar import_region_config_resolver = require("@aws-sdk/region-config-resolver");var import_protocol_http = require("@smithy/protocol-http");var import_smithy_client = require("@smithy/smithy-client"); // src/auth/httpAuthExtensionConfiguration.tsvar getHttpAuthExtensionConfiguration = /* @__PURE__ */ __name((runtimeConfig) => {  const _httpAuthSchemes = runtimeConfig.httpAuthSchemes;  let _httpAuthSchemeProvider = runtimeConfig.httpAuthSchemeProvider;  let _credentials = runtimeConfig.credentials;  return {    setHttpAuthScheme(httpAuthScheme) {      const index = _httpAuthSchemes.findIndex((scheme) => scheme.schemeId === httpAuthScheme.schemeId);      if (index === -1) {        _httpAuthSchemes.push(httpAuthScheme);      } else {        _httpAuthSchemes.splice(index, 1, httpAuthScheme);      }    },    httpAuthSchemes() {      return _httpAuthSchemes;    },    setHttpAuthSchemeProvider(httpAuthSchemeProvider) {      _httpAuthSchemeProvider = httpAuthSchemeProvider;    },    httpAuthSchemeProvider() {      return _httpAuthSchemeProvider;    },    setCredentials(credentials) {      _credentials = credentials;    },    credentials() {      return _credentials;    }  };}, "getHttpAuthExtensionConfiguration");var resolveHttpAuthRuntimeConfig = /* @__PURE__ */ __name((config) => {  return {    httpAuthSchemes: config.httpAuthSchemes(),    httpAuthSchemeProvider: config.httpAuthSchemeProvider(),    credentials: config.credentials()  };}, "resolveHttpAuthRuntimeConfig"); // src/runtimeExtensions.tsvar resolveRuntimeExtensions = /* @__PURE__ */ __name((runtimeConfig, extensions) => {  const extensionConfiguration = Object.assign(    (0, import_region_config_resolver.getAwsRegionExtensionConfiguration)(runtimeConfig),    (0, import_smithy_client.getDefaultExtensionConfiguration)(runtimeConfig),    (0, import_protocol_http.getHttpHandlerExtensionConfiguration)(runtimeConfig),    getHttpAuthExtensionConfiguration(runtimeConfig)  );  extensions.forEach((extension) => extension.configure(extensionConfiguration));  return Object.assign(    runtimeConfig,    (0, import_region_config_resolver.resolveAwsRegionExtensionConfiguration)(extensionConfiguration),    (0, import_smithy_client.resolveDefaultRuntimeConfig)(extensionConfiguration),    (0, import_protocol_http.resolveHttpHandlerRuntimeConfig)(extensionConfiguration),    resolveHttpAuthRuntimeConfig(extensionConfiguration)  );}, "resolveRuntimeExtensions"); // src/CleanRoomsMLClient.tsvar CleanRoomsMLClient = class extends import_smithy_client.Client {  static {    __name(this, "CleanRoomsMLClient");  }  /**   * The resolved configuration of CleanRoomsMLClient class. This is resolved and normalized from the {@link CleanRoomsMLClientConfig | constructor configuration interface}.   */  config;  constructor(...[configuration]) {    const _config_0 = (0, import_runtimeConfig.getRuntimeConfig)(configuration || {});    super(_config_0);    this.initConfig = _config_0;    const _config_1 = resolveClientEndpointParameters(_config_0);    const _config_2 = (0, import_middleware_user_agent.resolveUserAgentConfig)(_config_1);    const _config_3 = (0, import_middleware_retry.resolveRetryConfig)(_config_2);    const _config_4 = (0, import_config_resolver.resolveRegionConfig)(_config_3);    const _config_5 = (0, import_middleware_host_header.resolveHostHeaderConfig)(_config_4);    const _config_6 = (0, import_middleware_endpoint.resolveEndpointConfig)(_config_5);    const _config_7 = (0, import_httpAuthSchemeProvider.resolveHttpAuthSchemeConfig)(_config_6);    const _config_8 = resolveRuntimeExtensions(_config_7, configuration?.extensions || []);    this.config = _config_8;    this.middlewareStack.use((0, import_middleware_user_agent.getUserAgentPlugin)(this.config));    this.middlewareStack.use((0, import_middleware_retry.getRetryPlugin)(this.config));    this.middlewareStack.use((0, import_middleware_content_length.getContentLengthPlugin)(this.config));    this.middlewareStack.use((0, import_middleware_host_header.getHostHeaderPlugin)(this.config));    this.middlewareStack.use((0, import_middleware_logger.getLoggerPlugin)(this.config));    this.middlewareStack.use((0, import_middleware_recursion_detection.getRecursionDetectionPlugin)(this.config));    this.middlewareStack.use(      (0, import_core.getHttpAuthSchemeEndpointRuleSetPlugin)(this.config, {        httpAuthSchemeParametersProvider: import_httpAuthSchemeProvider.defaultCleanRoomsMLHttpAuthSchemeParametersProvider,        identityProviderConfigProvider: /* @__PURE__ */ __name(async (config) => new import_core.DefaultIdentityProviderConfig({          "aws.auth#sigv4": config.credentials        }), "identityProviderConfigProvider")      })    );    this.middlewareStack.use((0, import_core.getHttpSigningPlugin)(this.config));  }  /**   * Destroy underlying resources, like sockets. It's usually not necessary to do this.   * However in Node.js, it's best to explicitly shut down the client's agent when it is no longer needed.   * Otherwise, sockets might stay open for quite a long time before the server terminates them.   */  destroy() {    super.destroy();  }}; // src/CleanRoomsML.ts  // src/commands/CancelTrainedModelCommand.ts var import_middleware_serde = require("@smithy/middleware-serde");  // src/protocols/Aws_restJson1.tsvar import_core2 = require("@aws-sdk/core");   // src/models/CleanRoomsMLServiceException.ts var CleanRoomsMLServiceException = class _CleanRoomsMLServiceException extends import_smithy_client.ServiceException {  static {    __name(this, "CleanRoomsMLServiceException");  }  /**   * @internal   */  constructor(options) {    super(options);    Object.setPrototypeOf(this, _CleanRoomsMLServiceException.prototype);  }}; // src/models/models_0.ts var AccessDeniedException = class _AccessDeniedException extends CleanRoomsMLServiceException {  static {    __name(this, "AccessDeniedException");  }  name = "AccessDeniedException";  $fault = "client";  /**   * @internal   */  constructor(opts) {    super({      name: "AccessDeniedException",      $fault: "client",      ...opts    });    Object.setPrototypeOf(this, _AccessDeniedException.prototype);  }};var AudienceSizeType = {  ABSOLUTE: "ABSOLUTE",  PERCENTAGE: "PERCENTAGE"};var AudienceExportJobStatus = {  ACTIVE: "ACTIVE",  CREATE_FAILED: "CREATE_FAILED",  CREATE_IN_PROGRESS: "CREATE_IN_PROGRESS",  CREATE_PENDING: "CREATE_PENDING"};var ValidationException = class _ValidationException extends CleanRoomsMLServiceException {  static {    __name(this, "ValidationException");  }  name = "ValidationException";  $fault = "client";  /**   * @internal   */  constructor(opts) {    super({      name: "ValidationException",      $fault: "client",      ...opts    });    Object.setPrototypeOf(this, _ValidationException.prototype);  }};var ConflictException = class _ConflictException extends CleanRoomsMLServiceException {  static {    __name(this, "ConflictException");  }  name = "ConflictException";  $fault = "client";  /**   * @internal   */  constructor(opts) {    super({      name: "ConflictException",      $fault: "client",      ...opts    });    Object.setPrototypeOf(this, _ConflictException.prototype);  }};var ResourceNotFoundException = class _ResourceNotFoundException extends CleanRoomsMLServiceException {  static {    __name(this, "ResourceNotFoundException");  }  name = "ResourceNotFoundException";  $fault = "client";  /**   * @internal   */  constructor(opts) {    super({      name: "ResourceNotFoundException",      $fault: "client",      ...opts    });    Object.setPrototypeOf(this, _ResourceNotFoundException.prototype);  }};var ServiceQuotaExceededException = class _ServiceQuotaExceededException extends CleanRoomsMLServiceException {  static {    __name(this, "ServiceQuotaExceededException");  }  name = "ServiceQuotaExceededException";  $fault = "client";  /**   * The name of the service quota limit that was exceeded   * @public   */  quotaName;  /**   * The current limit on the service quota that was exceeded   * @public   */  quotaValue;  /**   * @internal   */  constructor(opts) {    super({      name: "ServiceQuotaExceededException",      $fault: "client",      ...opts    });    Object.setPrototypeOf(this, _ServiceQuotaExceededException.prototype);    this.quotaName = opts.quotaName;    this.quotaValue = opts.quotaValue;  }};var WorkerComputeType = {  CR1X: "CR.1X",  CR4X: "CR.4X"};var ComputeConfiguration;((ComputeConfiguration3) => {  ComputeConfiguration3.visit = /* @__PURE__ */ __name((value, visitor) => {    if (value.worker !== void 0) return visitor.worker(value.worker);    return visitor._(value.$unknown[0], value.$unknown[1]);  }, "visit");})(ComputeConfiguration || (ComputeConfiguration = {}));var AudienceGenerationJobStatus = {  ACTIVE: "ACTIVE",  CREATE_FAILED: "CREATE_FAILED",  CREATE_IN_PROGRESS: "CREATE_IN_PROGRESS",  CREATE_PENDING: "CREATE_PENDING",  DELETE_FAILED: "DELETE_FAILED",  DELETE_IN_PROGRESS: "DELETE_IN_PROGRESS",  DELETE_PENDING: "DELETE_PENDING"};var ThrottlingException = class _ThrottlingException extends CleanRoomsMLServiceException {  static {    __name(this, "ThrottlingException");  }  name = "ThrottlingException";  $fault = "client";  /**   * @internal   */  constructor(opts) {    super({      name: "ThrottlingException",      $fault: "client",      ...opts    });    Object.setPrototypeOf(this, _ThrottlingException.prototype);  }};var AudienceModelStatus = {  ACTIVE: "ACTIVE",  CREATE_FAILED: "CREATE_FAILED",  CREATE_IN_PROGRESS: "CREATE_IN_PROGRESS",  CREATE_PENDING: "CREATE_PENDING",  DELETE_FAILED: "DELETE_FAILED",  DELETE_IN_PROGRESS: "DELETE_IN_PROGRESS",  DELETE_PENDING: "DELETE_PENDING"};var TagOnCreatePolicy = {  FROM_PARENT_RESOURCE: "FROM_PARENT_RESOURCE",  NONE: "NONE"};var SharedAudienceMetrics = {  ALL: "ALL",  NONE: "NONE"};var ConfiguredAudienceModelStatus = {  ACTIVE: "ACTIVE"};var PolicyExistenceCondition = {  POLICY_MUST_EXIST: "POLICY_MUST_EXIST",  POLICY_MUST_NOT_EXIST: "POLICY_MUST_NOT_EXIST"};var TrainedModelExportFileType = {  MODEL: "MODEL",  OUTPUT: "OUTPUT"};var TrainedModelExportsMaxSizeUnitType = {  GB: "GB"};var EntityType = {  ALL_PERSONALLY_IDENTIFIABLE_INFORMATION: "ALL_PERSONALLY_IDENTIFIABLE_INFORMATION",  CUSTOM: "CUSTOM",  NUMBERS: "NUMBERS"};var LogType = {  ALL: "ALL",  ERROR_SUMMARY: "ERROR_SUMMARY"};var TrainedModelInferenceMaxOutputSizeUnitType = {  GB: "GB"};var NoiseLevelType = {  HIGH: "HIGH",  LOW: "LOW",  MEDIUM: "MEDIUM",  NONE: "NONE"};var TrainedModelArtifactMaxSizeUnitType = {  GB: "GB"};var MLInputChannelStatus = {  ACTIVE: "ACTIVE",  CREATE_FAILED: "CREATE_FAILED",  CREATE_IN_PROGRESS: "CREATE_IN_PROGRESS",  CREATE_PENDING: "CREATE_PENDING",  DELETE_FAILED: "DELETE_FAILED",  DELETE_IN_PROGRESS: "DELETE_IN_PROGRESS",  DELETE_PENDING: "DELETE_PENDING",  INACTIVE: "INACTIVE"};var TrainedModelExportJobStatus = {  ACTIVE: "ACTIVE",  CREATE_FAILED: "CREATE_FAILED",  CREATE_IN_PROGRESS: "CREATE_IN_PROGRESS",  CREATE_PENDING: "CREATE_PENDING"};var LogsStatus = {  PUBLISH_FAILED: "PUBLISH_FAILED",  PUBLISH_SUCCEEDED: "PUBLISH_SUCCEEDED"};var MetricsStatus = {  PUBLISH_FAILED: "PUBLISH_FAILED",  PUBLISH_SUCCEEDED: "PUBLISH_SUCCEEDED"};var TrainedModelInferenceJobStatus = {  ACTIVE: "ACTIVE",  CANCEL_FAILED: "CANCEL_FAILED",  CANCEL_IN_PROGRESS: "CANCEL_IN_PROGRESS",  CANCEL_PENDING: "CANCEL_PENDING",  CREATE_FAILED: "CREATE_FAILED",  CREATE_IN_PROGRESS: "CREATE_IN_PROGRESS",  CREATE_PENDING: "CREATE_PENDING",  INACTIVE: "INACTIVE"};var TrainedModelStatus = {  ACTIVE: "ACTIVE",  CANCEL_FAILED: "CANCEL_FAILED",  CANCEL_IN_PROGRESS: "CANCEL_IN_PROGRESS",  CANCEL_PENDING: "CANCEL_PENDING",  CREATE_FAILED: "CREATE_FAILED",  CREATE_IN_PROGRESS: "CREATE_IN_PROGRESS",  CREATE_PENDING: "CREATE_PENDING",  DELETE_FAILED: "DELETE_FAILED",  DELETE_IN_PROGRESS: "DELETE_IN_PROGRESS",  DELETE_PENDING: "DELETE_PENDING",  INACTIVE: "INACTIVE"};var ResultFormat = {  CSV: "CSV",  PARQUET: "PARQUET"};var InputChannelDataSource;((InputChannelDataSource3) => {  InputChannelDataSource3.visit = /* @__PURE__ */ __name((value, visitor) => {    if (value.protectedQueryInputParameters !== void 0)      return visitor.protectedQueryInputParameters(value.protectedQueryInputParameters);    return visitor._(value.$unknown[0], value.$unknown[1]);  }, "visit");})(InputChannelDataSource || (InputChannelDataSource = {}));var S3DataDistributionType = {  FULLY_REPLICATED: "FullyReplicated",  SHARDED_BY_S3_KEY: "ShardedByS3Key"};var _InstanceType = {  ML_C4_2XLARGE: "ml.c4.2xlarge",  ML_C4_4XLARGE: "ml.c4.4xlarge",  ML_C4_8XLARGE: "ml.c4.8xlarge",  ML_C4_XLARGE: "ml.c4.xlarge",  ML_C5N_18XLARGE: "ml.c5n.18xlarge",  ML_C5N_2XLARGE: "ml.c5n.2xlarge",  ML_C5N_4XLARGE: "ml.c5n.4xlarge",  ML_C5N_9XLARGE: "ml.c5n.9xlarge",  ML_C5N_XLARGE: "ml.c5n.xlarge",  ML_C5_18XLARGE: "ml.c5.18xlarge",  ML_C5_2XLARGE: "ml.c5.2xlarge",  ML_C5_4XLARGE: "ml.c5.4xlarge",  ML_C5_9XLARGE: "ml.c5.9xlarge",  ML_C5_XLARGE: "ml.c5.xlarge",  ML_C6I_12XLARGE: "ml.c6i.12xlarge",  ML_C6I_16XLARGE: "ml.c6i.16xlarge",  ML_C6I_24XLARGE: "ml.c6i.24xlarge",  ML_C6I_2XLARGE: "ml.c6i.2xlarge",  ML_C6I_32XLARGE: "ml.c6i.32xlarge",  ML_C6I_4XLARGE: "ml.c6i.4xlarge",  ML_C6I_8XLARGE: "ml.c6i.8xlarge",  ML_C6I_XLARGE: "ml.c6i.xlarge",  ML_C7I_12XLARGE: "ml.c7i.12xlarge",  ML_C7I_16XLARGE: "ml.c7i.16xlarge",  ML_C7I_24XLARGE: "ml.c7i.24xlarge",  ML_C7I_2XLARGE: "ml.c7i.2xlarge",  ML_C7I_48XLARGE: "ml.c7i.48xlarge",  ML_C7I_4XLARGE: "ml.c7i.4xlarge",  ML_C7I_8XLARGE: "ml.c7i.8xlarge",  ML_C7I_LARGE: "ml.c7i.large",  ML_C7I_XLARGE: "ml.c7i.xlarge",  ML_G4DN_12XLARGE: "ml.g4dn.12xlarge",  ML_G4DN_16XLARGE: "ml.g4dn.16xlarge",  ML_G4DN_2XLARGE: "ml.g4dn.2xlarge",  ML_G4DN_4XLARGE: "ml.g4dn.4xlarge",  ML_G4DN_8XLARGE: "ml.g4dn.8xlarge",  ML_G4DN_XLARGE: "ml.g4dn.xlarge",  ML_G5_12XLARGE: "ml.g5.12xlarge",  ML_G5_16XLARGE: "ml.g5.16xlarge",  ML_G5_24XLARGE: "ml.g5.24xlarge",  ML_G5_2XLARGE: "ml.g5.2xlarge",  ML_G5_48XLARGE: "ml.g5.48xlarge",  ML_G5_4XLARGE: "ml.g5.4xlarge",  ML_G5_8XLARGE: "ml.g5.8xlarge",  ML_G5_XLARGE: "ml.g5.xlarge",  ML_G6E_12XLARGE: "ml.g6e.12xlarge",  ML_G6E_16XLARGE: "ml.g6e.16xlarge",  ML_G6E_24XLARGE: "ml.g6e.24xlarge",  ML_G6E_2XLARGE: "ml.g6e.2xlarge",  ML_G6E_48XLARGE: "ml.g6e.48xlarge",  ML_G6E_4XLARGE: "ml.g6e.4xlarge",  ML_G6E_8XLARGE: "ml.g6e.8xlarge",  ML_G6E_XLARGE: "ml.g6e.xlarge",  ML_G6_12XLARGE: "ml.g6.12xlarge",  ML_G6_16XLARGE: "ml.g6.16xlarge",  ML_G6_24XLARGE: "ml.g6.24xlarge",  ML_G6_2XLARGE: "ml.g6.2xlarge",  ML_G6_48XLARGE: "ml.g6.48xlarge",  ML_G6_4XLARGE: "ml.g6.4xlarge",  ML_G6_8XLARGE: "ml.g6.8xlarge",  ML_G6_XLARGE: "ml.g6.xlarge",  ML_M4_10XLARGE: "ml.m4.10xlarge",  ML_M4_16XLARGE: "ml.m4.16xlarge",  ML_M4_2XLARGE: "ml.m4.2xlarge",  ML_M4_4XLARGE: "ml.m4.4xlarge",  ML_M4_XLARGE: "ml.m4.xlarge",  ML_M5_12XLARGE: "ml.m5.12xlarge",  ML_M5_24XLARGE: "ml.m5.24xlarge",  ML_M5_2XLARGE: "ml.m5.2xlarge",  ML_M5_4XLARGE: "ml.m5.4xlarge",  ML_M5_LARGE: "ml.m5.large",  ML_M5_XLARGE: "ml.m5.xlarge",  ML_M6I_12XLARGE: "ml.m6i.12xlarge",  ML_M6I_16XLARGE: "ml.m6i.16xlarge",  ML_M6I_24XLARGE: "ml.m6i.24xlarge",  ML_M6I_2XLARGE: "ml.m6i.2xlarge",  ML_M6I_32XLARGE: "ml.m6i.32xlarge",  ML_M6I_4XLARGE: "ml.m6i.4xlarge",  ML_M6I_8XLARGE: "ml.m6i.8xlarge",  ML_M6I_LARGE: "ml.m6i.large",  ML_M6I_XLARGE: "ml.m6i.xlarge",  ML_M7I_12XLARGE: "ml.m7i.12xlarge",  ML_M7I_16XLARGE: "ml.m7i.16xlarge",  ML_M7I_24XLARGE: "ml.m7i.24xlarge",  ML_M7I_2XLARGE: "ml.m7i.2xlarge",  ML_M7I_48XLARGE: "ml.m7i.48xlarge",  ML_M7I_4XLARGE: "ml.m7i.4xlarge",  ML_M7I_8XLARGE: "ml.m7i.8xlarge",  ML_M7I_LARGE: "ml.m7i.large",  ML_M7I_XLARGE: "ml.m7i.xlarge",  ML_P2_16XLARGE: "ml.p2.16xlarge",  ML_P2_8XLARGE: "ml.p2.8xlarge",  ML_P2_XLARGE: "ml.p2.xlarge",  ML_P3DN_24XLARGE: "ml.p3dn.24xlarge",  ML_P3_16XLARGE: "ml.p3.16xlarge",  ML_P3_2XLARGE: "ml.p3.2xlarge",  ML_P3_8XLARGE: "ml.p3.8xlarge",  ML_P4DE_24XLARGE: "ml.p4de.24xlarge",  ML_P4D_24XLARGE: "ml.p4d.24xlarge",  ML_P5EN_48XLARGE: "ml.p5en.48xlarge",  ML_P5_48XLARGE: "ml.p5.48xlarge",  ML_R5D_12XLARGE: "ml.r5d.12xlarge",  ML_R5D_16XLARGE: "ml.r5d.16xlarge",  ML_R5D_24XLARGE: "ml.r5d.24xlarge",  ML_R5D_2XLARGE: "ml.r5d.2xlarge",  ML_R5D_4XLARGE: "ml.r5d.4xlarge",  ML_R5D_8XLARGE: "ml.r5d.8xlarge",  ML_R5D_LARGE: "ml.r5d.large",  ML_R5D_XLARGE: "ml.r5d.xlarge",  ML_R5_12XLARGE: "ml.r5.12xlarge",  ML_R5_16XLARGE: "ml.r5.16xlarge",  ML_R5_24XLARGE: "ml.r5.24xlarge",  ML_R5_2XLARGE: "ml.r5.2xlarge",  ML_R5_4XLARGE: "ml.r5.4xlarge",  ML_R5_8XLARGE: "ml.r5.8xlarge",  ML_R5_LARGE: "ml.r5.large",  ML_R5_XLARGE: "ml.r5.xlarge",  ML_R7I_12XLARGE: "ml.r7i.12xlarge",  ML_R7I_16XLARGE: "ml.r7i.16xlarge",  ML_R7I_24XLARGE: "ml.r7i.24xlarge",  ML_R7I_2XLARGE: "ml.r7i.2xlarge",  ML_R7I_48XLARGE: "ml.r7i.48xlarge",  ML_R7I_4XLARGE: "ml.r7i.4xlarge",  ML_R7I_8XLARGE: "ml.r7i.8xlarge",  ML_R7I_LARGE: "ml.r7i.large",  ML_R7I_XLARGE: "ml.r7i.xlarge",  ML_T3_2XLARGE: "ml.t3.2xlarge",  ML_T3_LARGE: "ml.t3.large",  ML_T3_MEDIUM: "ml.t3.medium",  ML_T3_XLARGE: "ml.t3.xlarge",  ML_TRN1N_32XLARGE: "ml.trn1n.32xlarge",  ML_TRN1_2XLARGE: "ml.trn1.2xlarge",  ML_TRN1_32XLARGE: "ml.trn1.32xlarge"};var TrainingInputMode = {  FAST_FILE: "FastFile",  FILE: "File",  PIPE: "Pipe"};var InternalServiceException = class _InternalServiceException extends CleanRoomsMLServiceException {  static {    __name(this, "InternalServiceException");  }  name = "InternalServiceException";  $fault = "server";  /**   * @internal   */  constructor(opts) {    super({      name: "InternalServiceException",      $fault: "server",      ...opts    });    Object.setPrototypeOf(this, _InternalServiceException.prototype);  }};var InferenceInstanceType = {  ML_C4_2XLARGE: "ml.c4.2xlarge",  ML_C4_4XLARGE: "ml.c4.4xlarge",  ML_C4_8XLARGE: "ml.c4.8xlarge",  ML_C4_XLARGE: "ml.c4.xlarge",  ML_C5_18XLARGE: "ml.c5.18xlarge",  ML_C5_2XLARGE: "ml.c5.2xlarge",  ML_C5_4XLARGE: "ml.c5.4xlarge",  ML_C5_9XLARGE: "ml.c5.9xlarge",  ML_C5_XLARGE: "ml.c5.xlarge",  ML_C6I_12XLARGE: "ml.c6i.12xlarge",  ML_C6I_16XLARGE: "ml.c6i.16xlarge",  ML_C6I_24XLARGE: "ml.c6i.24xlarge",  ML_C6I_2XLARGE: "ml.c6i.2xlarge",  ML_C6I_32XLARGE: "ml.c6i.32xlarge",  ML_C6I_4XLARGE: "ml.c6i.4xlarge",  ML_C6I_8XLARGE: "ml.c6i.8xlarge",  ML_C6I_LARGE: "ml.c6i.large",  ML_C6I_XLARGE: "ml.c6i.xlarge",  ML_C7I_12XLARGE: "ml.c7i.12xlarge",  ML_C7I_16XLARGE: "ml.c7i.16xlarge",  ML_C7I_24XLARGE: "ml.c7i.24xlarge",  ML_C7I_2XLARGE: "ml.c7i.2xlarge",  ML_C7I_48XLARGE: "ml.c7i.48xlarge",  ML_C7I_4XLARGE: "ml.c7i.4xlarge",  ML_C7I_8XLARGE: "ml.c7i.8xlarge",  ML_C7I_LARGE: "ml.c7i.large",  ML_C7I_XLARGE: "ml.c7i.xlarge",  ML_G4DN_12XLARGE: "ml.g4dn.12xlarge",  ML_G4DN_16XLARGE: "ml.g4dn.16xlarge",  ML_G4DN_2XLARGE: "ml.g4dn.2xlarge",  ML_G4DN_4XLARGE: "ml.g4dn.4xlarge",  ML_G4DN_8XLARGE: "ml.g4dn.8xlarge",  ML_G4DN_XLARGE: "ml.g4dn.xlarge",  ML_G5_12XLARGE: "ml.g5.12xlarge",  ML_G5_16XLARGE: "ml.g5.16xlarge",  ML_G5_24XLARGE: "ml.g5.24xlarge",  ML_G5_2XLARGE: "ml.g5.2xlarge",  ML_G5_48XLARGE: "ml.g5.48xlarge",  ML_G5_4XLARGE: "ml.g5.4xlarge",  ML_G5_8XLARGE: "ml.g5.8xlarge",  ML_G5_XLARGE: "ml.g5.xlarge",  ML_M4_10XLARGE: "ml.m4.10xlarge",  ML_M4_16XLARGE: "ml.m4.16xlarge",  ML_M4_2XLARGE: "ml.m4.2xlarge",  ML_M4_4XLARGE: "ml.m4.4xlarge",  ML_M4_XLARGE: "ml.m4.xlarge",  ML_M5_12XLARGE: "ml.m5.12xlarge",  ML_M5_24XLARGE: "ml.m5.24xlarge",  ML_M5_2XLARGE: "ml.m5.2xlarge",  ML_M5_4XLARGE: "ml.m5.4xlarge",  ML_M5_LARGE: "ml.m5.large",  ML_M5_XLARGE: "ml.m5.xlarge",  ML_M6I_12XLARGE: "ml.m6i.12xlarge",  ML_M6I_16XLARGE: "ml.m6i.16xlarge",  ML_M6I_24XLARGE: "ml.m6i.24xlarge",  ML_M6I_2XLARGE: "ml.m6i.2xlarge",  ML_M6I_32XLARGE: "ml.m6i.32xlarge",  ML_M6I_4XLARGE: "ml.m6i.4xlarge",  ML_M6I_8XLARGE: "ml.m6i.8xlarge",  ML_M6I_LARGE: "ml.m6i.large",  ML_M6I_XLARGE: "ml.m6i.xlarge",  ML_M7I_12XLARGE: "ml.m7i.12xlarge",  ML_M7I_16XLARGE: "ml.m7i.16xlarge",  ML_M7I_24XLARGE: "ml.m7i.24xlarge",  ML_M7I_2XLARGE: "ml.m7i.2xlarge",  ML_M7I_48XLARGE: "ml.m7i.48xlarge",  ML_M7I_4XLARGE: "ml.m7i.4xlarge",  ML_M7I_8XLARGE: "ml.m7i.8xlarge",  ML_M7I_LARGE: "ml.m7i.large",  ML_M7I_XLARGE: "ml.m7i.xlarge",  ML_P2_16XLARGE: "ml.p2.16xlarge",  ML_P2_8XLARGE: "ml.p2.8xlarge",  ML_P2_XLARGE: "ml.p2.xlarge",  ML_P3_16XLARGE: "ml.p3.16xlarge",  ML_P3_2XLARGE: "ml.p3.2xlarge",  ML_P3_8XLARGE: "ml.p3.8xlarge",  ML_R6I_12XLARGE: "ml.r6i.12xlarge",  ML_R6I_16XLARGE: "ml.r6i.16xlarge",  ML_R6I_24XLARGE: "ml.r6i.24xlarge",  ML_R6I_2XLARGE: "ml.r6i.2xlarge",  ML_R6I_32XLARGE: "ml.r6i.32xlarge",  ML_R6I_4XLARGE: "ml.r6i.4xlarge",  ML_R6I_8XLARGE: "ml.r6i.8xlarge",  ML_R6I_LARGE: "ml.r6i.large",  ML_R6I_XLARGE: "ml.r6i.xlarge",  ML_R7I_12XLARGE: "ml.r7i.12xlarge",  ML_R7I_16XLARGE: "ml.r7i.16xlarge",  ML_R7I_24XLARGE: "ml.r7i.24xlarge",  ML_R7I_2XLARGE: "ml.r7i.2xlarge",  ML_R7I_48XLARGE: "ml.r7i.48xlarge",  ML_R7I_4XLARGE: "ml.r7i.4xlarge",  ML_R7I_8XLARGE: "ml.r7i.8xlarge",  ML_R7I_LARGE: "ml.r7i.large",  ML_R7I_XLARGE: "ml.r7i.xlarge"};var ColumnType = {  CATEGORICAL_FEATURE: "CATEGORICAL_FEATURE",  ITEM_ID: "ITEM_ID",  NUMERICAL_FEATURE: "NUMERICAL_FEATURE",  TIMESTAMP: "TIMESTAMP",  USER_ID: "USER_ID"};var DatasetType = {  INTERACTIONS: "INTERACTIONS"};var TrainingDatasetStatus = {  ACTIVE: "ACTIVE"};var ProtectedQuerySQLParametersFilterSensitiveLog = /* @__PURE__ */ __name((obj) => ({  ...obj}), "ProtectedQuerySQLParametersFilterSensitiveLog");var AudienceGenerationJobDataSourceFilterSensitiveLog = /* @__PURE__ */ __name((obj) => ({  ...obj,  ...obj.sqlParameters && { sqlParameters: import_smithy_client.SENSITIVE_STRING },  ...obj.sqlComputeConfiguration && { sqlComputeConfiguration: obj.sqlComputeConfiguration }}), "AudienceGenerationJobDataSourceFilterSensitiveLog");var GetAudienceGenerationJobResponseFilterSensitiveLog = /* @__PURE__ */ __name((obj) => ({  ...obj,  ...obj.seedAudience && { seedAudience: AudienceGenerationJobDataSourceFilterSensitiveLog(obj.seedAudience) }}), "GetAudienceGenerationJobResponseFilterSensitiveLog");var StartAudienceGenerationJobRequestFilterSensitiveLog = /* @__PURE__ */ __name((obj) => ({  ...obj,  ...obj.seedAudience && { seedAudience: AudienceGenerationJobDataSourceFilterSensitiveLog(obj.seedAudience) }}), "StartAudienceGenerationJobRequestFilterSensitiveLog");var ProtectedQueryInputParametersFilterSensitiveLog = /* @__PURE__ */ __name((obj) => ({  ...obj,  ...obj.sqlParameters && { sqlParameters: import_smithy_client.SENSITIVE_STRING },  ...obj.computeConfiguration && { computeConfiguration: obj.computeConfiguration }}), "ProtectedQueryInputParametersFilterSensitiveLog");var InputChannelDataSourceFilterSensitiveLog = /* @__PURE__ */ __name((obj) => {  if (obj.protectedQueryInputParameters !== void 0)    return {      protectedQueryInputParameters: ProtectedQueryInputParametersFilterSensitiveLog(obj.protectedQueryInputParameters)    };  if (obj.$unknown !== void 0) return { [obj.$unknown[0]]: "UNKNOWN" };}, "InputChannelDataSourceFilterSensitiveLog");var InputChannelFilterSensitiveLog = /* @__PURE__ */ __name((obj) => ({  ...obj,  ...obj.dataSource && { dataSource: InputChannelDataSourceFilterSensitiveLog(obj.dataSource) }}), "InputChannelFilterSensitiveLog");var CreateMLInputChannelRequestFilterSensitiveLog = /* @__PURE__ */ __name((obj) => ({  ...obj,  ...obj.inputChannel && { inputChannel: InputChannelFilterSensitiveLog(obj.inputChannel) }}), "CreateMLInputChannelRequestFilterSensitiveLog");var GetMLInputChannelResponseFilterSensitiveLog = /* @__PURE__ */ __name((obj) => ({  ...obj,  ...obj.inputChannel && { inputChannel: InputChannelFilterSensitiveLog(obj.inputChannel) }}), "GetMLInputChannelResponseFilterSensitiveLog"); // src/protocols/Aws_restJson1.tsvar se_CancelTrainedModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/trained-models/{trainedModelArn}");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  b.p("trainedModelArn", () => input.trainedModelArn, "{trainedModelArn}", false);  const query = (0, import_smithy_client.map)({    [_vI]: [, input[_vI]]  });  let body;  b.m("PATCH").h(headers).q(query).b(body);  return b.build();}, "se_CancelTrainedModelCommand");var se_CancelTrainedModelInferenceJobCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/trained-model-inference-jobs/{trainedModelInferenceJobArn}");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  b.p("trainedModelInferenceJobArn", () => input.trainedModelInferenceJobArn, "{trainedModelInferenceJobArn}", false);  let body;  b.m("PATCH").h(headers).b(body);  return b.build();}, "se_CancelTrainedModelInferenceJobCommand");var se_CreateAudienceModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/audience-model");  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      description: [],      kmsKeyArn: [],      name: [],      tags: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "tags"),      trainingDataEndTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.serializeDateTime)(_), "trainingDataEndTime"),      trainingDataStartTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.serializeDateTime)(_), "trainingDataStartTime"),      trainingDatasetArn: []    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_CreateAudienceModelCommand");var se_CreateConfiguredAudienceModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/configured-audience-model");  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      audienceModelArn: [],      audienceSizeConfig: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "audienceSizeConfig"),      childResourceTagOnCreatePolicy: [],      description: [],      minMatchingSeedSize: [],      name: [],      outputConfig: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "outputConfig"),      sharedAudienceMetrics: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "sharedAudienceMetrics"),      tags: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "tags")    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_CreateConfiguredAudienceModelCommand");var se_CreateConfiguredModelAlgorithmCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/configured-model-algorithms");  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      description: [],      inferenceContainerConfig: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "inferenceContainerConfig"),      kmsKeyArn: [],      name: [],      roleArn: [],      tags: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "tags"),      trainingContainerConfig: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "trainingContainerConfig")    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_CreateConfiguredModelAlgorithmCommand");var se_CreateConfiguredModelAlgorithmAssociationCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/memberships/{membershipIdentifier}/configured-model-algorithm-associations");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      configuredModelAlgorithmArn: [],      description: [],      name: [],      privacyConfiguration: /* @__PURE__ */ __name((_) => se_PrivacyConfiguration(_, context), "privacyConfiguration"),      tags: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "tags")    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_CreateConfiguredModelAlgorithmAssociationCommand");var se_CreateMLInputChannelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/memberships/{membershipIdentifier}/ml-input-channels");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      configuredModelAlgorithmAssociations: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "configuredModelAlgorithmAssociations"),      description: [],      inputChannel: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "inputChannel"),      kmsKeyArn: [],      name: [],      retentionInDays: [],      tags: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "tags")    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_CreateMLInputChannelCommand");var se_CreateTrainedModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/memberships/{membershipIdentifier}/trained-models");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      configuredModelAlgorithmAssociationArn: [],      dataChannels: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "dataChannels"),      description: [],      environment: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "environment"),      hyperparameters: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "hyperparameters"),      incrementalTrainingDataChannels: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "incrementalTrainingDataChannels"),      kmsKeyArn: [],      name: [],      resourceConfig: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "resourceConfig"),      stoppingCondition: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "stoppingCondition"),      tags: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "tags"),      trainingInputMode: []    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_CreateTrainedModelCommand");var se_CreateTrainingDatasetCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/training-dataset");  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      description: [],      name: [],      roleArn: [],      tags: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "tags"),      trainingData: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "trainingData")    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_CreateTrainingDatasetCommand");var se_DeleteAudienceGenerationJobCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/audience-generation-job/{audienceGenerationJobArn}");  b.p("audienceGenerationJobArn", () => input.audienceGenerationJobArn, "{audienceGenerationJobArn}", false);  let body;  b.m("DELETE").h(headers).b(body);  return b.build();}, "se_DeleteAudienceGenerationJobCommand");var se_DeleteAudienceModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/audience-model/{audienceModelArn}");  b.p("audienceModelArn", () => input.audienceModelArn, "{audienceModelArn}", false);  let body;  b.m("DELETE").h(headers).b(body);  return b.build();}, "se_DeleteAudienceModelCommand");var se_DeleteConfiguredAudienceModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/configured-audience-model/{configuredAudienceModelArn}");  b.p("configuredAudienceModelArn", () => input.configuredAudienceModelArn, "{configuredAudienceModelArn}", false);  let body;  b.m("DELETE").h(headers).b(body);  return b.build();}, "se_DeleteConfiguredAudienceModelCommand");var se_DeleteConfiguredAudienceModelPolicyCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/configured-audience-model/{configuredAudienceModelArn}/policy");  b.p("configuredAudienceModelArn", () => input.configuredAudienceModelArn, "{configuredAudienceModelArn}", false);  let body;  b.m("DELETE").h(headers).b(body);  return b.build();}, "se_DeleteConfiguredAudienceModelPolicyCommand");var se_DeleteConfiguredModelAlgorithmCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/configured-model-algorithms/{configuredModelAlgorithmArn}");  b.p("configuredModelAlgorithmArn", () => input.configuredModelAlgorithmArn, "{configuredModelAlgorithmArn}", false);  let body;  b.m("DELETE").h(headers).b(body);  return b.build();}, "se_DeleteConfiguredModelAlgorithmCommand");var se_DeleteConfiguredModelAlgorithmAssociationCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp(    "/memberships/{membershipIdentifier}/configured-model-algorithm-associations/{configuredModelAlgorithmAssociationArn}"  );  b.p(    "configuredModelAlgorithmAssociationArn",    () => input.configuredModelAlgorithmAssociationArn,    "{configuredModelAlgorithmAssociationArn}",    false  );  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  b.m("DELETE").h(headers).b(body);  return b.build();}, "se_DeleteConfiguredModelAlgorithmAssociationCommand");var se_DeleteMLConfigurationCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/ml-configurations");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  b.m("DELETE").h(headers).b(body);  return b.build();}, "se_DeleteMLConfigurationCommand");var se_DeleteMLInputChannelDataCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/ml-input-channels/{mlInputChannelArn}");  b.p("mlInputChannelArn", () => input.mlInputChannelArn, "{mlInputChannelArn}", false);  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  b.m("DELETE").h(headers).b(body);  return b.build();}, "se_DeleteMLInputChannelDataCommand");var se_DeleteTrainedModelOutputCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/trained-models/{trainedModelArn}");  b.p("trainedModelArn", () => input.trainedModelArn, "{trainedModelArn}", false);  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_vI]: [, input[_vI]]  });  let body;  b.m("DELETE").h(headers).q(query).b(body);  return b.build();}, "se_DeleteTrainedModelOutputCommand");var se_DeleteTrainingDatasetCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/training-dataset/{trainingDatasetArn}");  b.p("trainingDatasetArn", () => input.trainingDatasetArn, "{trainingDatasetArn}", false);  let body;  b.m("DELETE").h(headers).b(body);  return b.build();}, "se_DeleteTrainingDatasetCommand");var se_GetAudienceGenerationJobCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/audience-generation-job/{audienceGenerationJobArn}");  b.p("audienceGenerationJobArn", () => input.audienceGenerationJobArn, "{audienceGenerationJobArn}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetAudienceGenerationJobCommand");var se_GetAudienceModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/audience-model/{audienceModelArn}");  b.p("audienceModelArn", () => input.audienceModelArn, "{audienceModelArn}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetAudienceModelCommand");var se_GetCollaborationConfiguredModelAlgorithmAssociationCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp(    "/collaborations/{collaborationIdentifier}/configured-model-algorithm-associations/{configuredModelAlgorithmAssociationArn}"  );  b.p(    "configuredModelAlgorithmAssociationArn",    () => input.configuredModelAlgorithmAssociationArn,    "{configuredModelAlgorithmAssociationArn}",    false  );  b.p("collaborationIdentifier", () => input.collaborationIdentifier, "{collaborationIdentifier}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetCollaborationConfiguredModelAlgorithmAssociationCommand");var se_GetCollaborationMLInputChannelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/collaborations/{collaborationIdentifier}/ml-input-channels/{mlInputChannelArn}");  b.p("mlInputChannelArn", () => input.mlInputChannelArn, "{mlInputChannelArn}", false);  b.p("collaborationIdentifier", () => input.collaborationIdentifier, "{collaborationIdentifier}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetCollaborationMLInputChannelCommand");var se_GetCollaborationTrainedModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/collaborations/{collaborationIdentifier}/trained-models/{trainedModelArn}");  b.p("trainedModelArn", () => input.trainedModelArn, "{trainedModelArn}", false);  b.p("collaborationIdentifier", () => input.collaborationIdentifier, "{collaborationIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_vI]: [, input[_vI]]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_GetCollaborationTrainedModelCommand");var se_GetConfiguredAudienceModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/configured-audience-model/{configuredAudienceModelArn}");  b.p("configuredAudienceModelArn", () => input.configuredAudienceModelArn, "{configuredAudienceModelArn}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetConfiguredAudienceModelCommand");var se_GetConfiguredAudienceModelPolicyCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/configured-audience-model/{configuredAudienceModelArn}/policy");  b.p("configuredAudienceModelArn", () => input.configuredAudienceModelArn, "{configuredAudienceModelArn}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetConfiguredAudienceModelPolicyCommand");var se_GetConfiguredModelAlgorithmCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/configured-model-algorithms/{configuredModelAlgorithmArn}");  b.p("configuredModelAlgorithmArn", () => input.configuredModelAlgorithmArn, "{configuredModelAlgorithmArn}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetConfiguredModelAlgorithmCommand");var se_GetConfiguredModelAlgorithmAssociationCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp(    "/memberships/{membershipIdentifier}/configured-model-algorithm-associations/{configuredModelAlgorithmAssociationArn}"  );  b.p(    "configuredModelAlgorithmAssociationArn",    () => input.configuredModelAlgorithmAssociationArn,    "{configuredModelAlgorithmAssociationArn}",    false  );  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetConfiguredModelAlgorithmAssociationCommand");var se_GetMLConfigurationCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/ml-configurations");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetMLConfigurationCommand");var se_GetMLInputChannelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/ml-input-channels/{mlInputChannelArn}");  b.p("mlInputChannelArn", () => input.mlInputChannelArn, "{mlInputChannelArn}", false);  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetMLInputChannelCommand");var se_GetTrainedModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/trained-models/{trainedModelArn}");  b.p("trainedModelArn", () => input.trainedModelArn, "{trainedModelArn}", false);  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_vI]: [, input[_vI]]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_GetTrainedModelCommand");var se_GetTrainedModelInferenceJobCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/trained-model-inference-jobs/{trainedModelInferenceJobArn}");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  b.p("trainedModelInferenceJobArn", () => input.trainedModelInferenceJobArn, "{trainedModelInferenceJobArn}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetTrainedModelInferenceJobCommand");var se_GetTrainingDatasetCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/training-dataset/{trainingDatasetArn}");  b.p("trainingDatasetArn", () => input.trainingDatasetArn, "{trainingDatasetArn}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_GetTrainingDatasetCommand");var se_ListAudienceExportJobsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/audience-export-job");  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()],    [_aGJA]: [, input[_aGJA]]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListAudienceExportJobsCommand");var se_ListAudienceGenerationJobsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/audience-generation-job");  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()],    [_cAMA]: [, input[_cAMA]],    [_cI]: [, input[_cI]]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListAudienceGenerationJobsCommand");var se_ListAudienceModelsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/audience-model");  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListAudienceModelsCommand");var se_ListCollaborationConfiguredModelAlgorithmAssociationsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/collaborations/{collaborationIdentifier}/configured-model-algorithm-associations");  b.p("collaborationIdentifier", () => input.collaborationIdentifier, "{collaborationIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListCollaborationConfiguredModelAlgorithmAssociationsCommand");var se_ListCollaborationMLInputChannelsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/collaborations/{collaborationIdentifier}/ml-input-channels");  b.p("collaborationIdentifier", () => input.collaborationIdentifier, "{collaborationIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListCollaborationMLInputChannelsCommand");var se_ListCollaborationTrainedModelExportJobsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/collaborations/{collaborationIdentifier}/trained-models/{trainedModelArn}/export-jobs");  b.p("collaborationIdentifier", () => input.collaborationIdentifier, "{collaborationIdentifier}", false);  b.p("trainedModelArn", () => input.trainedModelArn, "{trainedModelArn}", false);  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()],    [_tMVI]: [, input[_tMVI]]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListCollaborationTrainedModelExportJobsCommand");var se_ListCollaborationTrainedModelInferenceJobsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/collaborations/{collaborationIdentifier}/trained-model-inference-jobs");  b.p("collaborationIdentifier", () => input.collaborationIdentifier, "{collaborationIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()],    [_tMA]: [, input[_tMA]],    [_tMVI]: [, input[_tMVI]]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListCollaborationTrainedModelInferenceJobsCommand");var se_ListCollaborationTrainedModelsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/collaborations/{collaborationIdentifier}/trained-models");  b.p("collaborationIdentifier", () => input.collaborationIdentifier, "{collaborationIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListCollaborationTrainedModelsCommand");var se_ListConfiguredAudienceModelsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/configured-audience-model");  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListConfiguredAudienceModelsCommand");var se_ListConfiguredModelAlgorithmAssociationsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/configured-model-algorithm-associations");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListConfiguredModelAlgorithmAssociationsCommand");var se_ListConfiguredModelAlgorithmsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/configured-model-algorithms");  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListConfiguredModelAlgorithmsCommand");var se_ListMLInputChannelsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/ml-input-channels");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListMLInputChannelsCommand");var se_ListTagsForResourceCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/tags/{resourceArn}");  b.p("resourceArn", () => input.resourceArn, "{resourceArn}", false);  let body;  b.m("GET").h(headers).b(body);  return b.build();}, "se_ListTagsForResourceCommand");var se_ListTrainedModelInferenceJobsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/trained-model-inference-jobs");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()],    [_tMA]: [, input[_tMA]],    [_tMVI]: [, input[_tMVI]]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListTrainedModelInferenceJobsCommand");var se_ListTrainedModelsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/trained-models");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListTrainedModelsCommand");var se_ListTrainedModelVersionsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/memberships/{membershipIdentifier}/trained-models/{trainedModelArn}/versions");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  b.p("trainedModelArn", () => input.trainedModelArn, "{trainedModelArn}", false);  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()],    [_s]: [, input[_s]]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListTrainedModelVersionsCommand");var se_ListTrainingDatasetsCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/training-dataset");  const query = (0, import_smithy_client.map)({    [_nT]: [, input[_nT]],    [_mR]: [() => input.maxResults !== void 0, () => input[_mR].toString()]  });  let body;  b.m("GET").h(headers).q(query).b(body);  return b.build();}, "se_ListTrainingDatasetsCommand");var se_PutConfiguredAudienceModelPolicyCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/configured-audience-model/{configuredAudienceModelArn}/policy");  b.p("configuredAudienceModelArn", () => input.configuredAudienceModelArn, "{configuredAudienceModelArn}", false);  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      configuredAudienceModelPolicy: [],      policyExistenceCondition: [],      previousPolicyHash: []    })  );  b.m("PUT").h(headers).b(body);  return b.build();}, "se_PutConfiguredAudienceModelPolicyCommand");var se_PutMLConfigurationCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/memberships/{membershipIdentifier}/ml-configurations");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      defaultOutputLocation: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "defaultOutputLocation")    })  );  b.m("PUT").h(headers).b(body);  return b.build();}, "se_PutMLConfigurationCommand");var se_StartAudienceExportJobCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/audience-export-job");  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      audienceGenerationJobArn: [],      audienceSize: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "audienceSize"),      description: [],      name: []    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_StartAudienceExportJobCommand");var se_StartAudienceGenerationJobCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/audience-generation-job");  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      collaborationId: [],      configuredAudienceModelArn: [],      description: [],      includeSeedInOutput: [],      name: [],      seedAudience: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "seedAudience"),      tags: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "tags")    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_StartAudienceGenerationJobCommand");var se_StartTrainedModelExportJobCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/memberships/{membershipIdentifier}/trained-models/{trainedModelArn}/export-jobs");  b.p("trainedModelArn", () => input.trainedModelArn, "{trainedModelArn}", false);  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      description: [],      name: [],      outputConfiguration: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "outputConfiguration"),      trainedModelVersionIdentifier: []    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_StartTrainedModelExportJobCommand");var se_StartTrainedModelInferenceJobCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/memberships/{membershipIdentifier}/trained-model-inference-jobs");  b.p("membershipIdentifier", () => input.membershipIdentifier, "{membershipIdentifier}", false);  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      configuredModelAlgorithmAssociationArn: [],      containerExecutionParameters: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "containerExecutionParameters"),      dataSource: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "dataSource"),      description: [],      environment: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "environment"),      kmsKeyArn: [],      name: [],      outputConfiguration: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "outputConfiguration"),      resourceConfig: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "resourceConfig"),      tags: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "tags"),      trainedModelArn: [],      trainedModelVersionIdentifier: []    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_StartTrainedModelInferenceJobCommand");var se_TagResourceCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/tags/{resourceArn}");  b.p("resourceArn", () => input.resourceArn, "{resourceArn}", false);  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      tags: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "tags")    })  );  b.m("POST").h(headers).b(body);  return b.build();}, "se_TagResourceCommand");var se_UntagResourceCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {};  b.bp("/tags/{resourceArn}");  b.p("resourceArn", () => input.resourceArn, "{resourceArn}", false);  const query = (0, import_smithy_client.map)({    [_tK]: [(0, import_smithy_client.expectNonNull)(input.tagKeys, `tagKeys`) != null, () => input[_tK] || []]  });  let body;  b.m("DELETE").h(headers).q(query).b(body);  return b.build();}, "se_UntagResourceCommand");var se_UpdateConfiguredAudienceModelCommand = /* @__PURE__ */ __name(async (input, context) => {  const b = (0, import_core.requestBuilder)(input, context);  const headers = {    "content-type": "application/json"  };  b.bp("/configured-audience-model/{configuredAudienceModelArn}");  b.p("configuredAudienceModelArn", () => input.configuredAudienceModelArn, "{configuredAudienceModelArn}", false);  let body;  body = JSON.stringify(    (0, import_smithy_client.take)(input, {      audienceModelArn: [],      audienceSizeConfig: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "audienceSizeConfig"),      description: [],      minMatchingSeedSize: [],      outputConfig: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "outputConfig"),      sharedAudienceMetrics: /* @__PURE__ */ __name((_) => (0, import_smithy_client._json)(_), "sharedAudienceMetrics")    })  );  b.m("PATCH").h(headers).b(body);  return b.build();}, "se_UpdateConfiguredAudienceModelCommand");var de_CancelTrainedModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_CancelTrainedModelCommand");var de_CancelTrainedModelInferenceJobCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_CancelTrainedModelInferenceJobCommand");var de_CreateAudienceModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    audienceModelArn: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_CreateAudienceModelCommand");var de_CreateConfiguredAudienceModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredAudienceModelArn: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_CreateConfiguredAudienceModelCommand");var de_CreateConfiguredModelAlgorithmCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredModelAlgorithmArn: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_CreateConfiguredModelAlgorithmCommand");var de_CreateConfiguredModelAlgorithmAssociationCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_CreateConfiguredModelAlgorithmAssociationCommand");var de_CreateMLInputChannelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    mlInputChannelArn: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_CreateMLInputChannelCommand");var de_CreateTrainedModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    trainedModelArn: import_smithy_client.expectString,    versionIdentifier: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_CreateTrainedModelCommand");var de_CreateTrainingDatasetCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    trainingDatasetArn: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_CreateTrainingDatasetCommand");var de_DeleteAudienceGenerationJobCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_DeleteAudienceGenerationJobCommand");var de_DeleteAudienceModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_DeleteAudienceModelCommand");var de_DeleteConfiguredAudienceModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_DeleteConfiguredAudienceModelCommand");var de_DeleteConfiguredAudienceModelPolicyCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_DeleteConfiguredAudienceModelPolicyCommand");var de_DeleteConfiguredModelAlgorithmCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_DeleteConfiguredModelAlgorithmCommand");var de_DeleteConfiguredModelAlgorithmAssociationCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_DeleteConfiguredModelAlgorithmAssociationCommand");var de_DeleteMLConfigurationCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_DeleteMLConfigurationCommand");var de_DeleteMLInputChannelDataCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_DeleteMLInputChannelDataCommand");var de_DeleteTrainedModelOutputCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_DeleteTrainedModelOutputCommand");var de_DeleteTrainingDatasetCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_DeleteTrainingDatasetCommand");var de_GetAudienceGenerationJobCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    audienceGenerationJobArn: import_smithy_client.expectString,    collaborationId: import_smithy_client.expectString,    configuredAudienceModelArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    includeSeedInOutput: import_smithy_client.expectBoolean,    metrics: /* @__PURE__ */ __name((_) => de_AudienceQualityMetrics(_, context), "metrics"),    name: import_smithy_client.expectString,    protectedQueryIdentifier: import_smithy_client.expectString,    seedAudience: import_smithy_client._json,    startedBy: import_smithy_client.expectString,    status: import_smithy_client.expectString,    statusDetails: import_smithy_client._json,    tags: import_smithy_client._json,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetAudienceGenerationJobCommand");var de_GetAudienceModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    audienceModelArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    kmsKeyArn: import_smithy_client.expectString,    name: import_smithy_client.expectString,    status: import_smithy_client.expectString,    statusDetails: import_smithy_client._json,    tags: import_smithy_client._json,    trainingDataEndTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "trainingDataEndTime"),    trainingDataStartTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "trainingDataStartTime"),    trainingDatasetArn: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetAudienceModelCommand");var de_GetCollaborationConfiguredModelAlgorithmAssociationCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmArn: import_smithy_client.expectString,    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    creatorAccountId: import_smithy_client.expectString,    description: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    name: import_smithy_client.expectString,    privacyConfiguration: /* @__PURE__ */ __name((_) => de_PrivacyConfiguration(_, context), "privacyConfiguration"),    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetCollaborationConfiguredModelAlgorithmAssociationCommand");var de_GetCollaborationMLInputChannelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmAssociations: import_smithy_client._json,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    creatorAccountId: import_smithy_client.expectString,    description: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    mlInputChannelArn: import_smithy_client.expectString,    name: import_smithy_client.expectString,    numberOfRecords: import_smithy_client.expectLong,    retentionInDays: import_smithy_client.expectInt32,    status: import_smithy_client.expectString,    statusDetails: import_smithy_client._json,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetCollaborationMLInputChannelCommand");var de_GetCollaborationTrainedModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    creatorAccountId: import_smithy_client.expectString,    description: import_smithy_client.expectString,    incrementalTrainingDataChannels: import_smithy_client._json,    logsStatus: import_smithy_client.expectString,    logsStatusDetails: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    metricsStatus: import_smithy_client.expectString,    metricsStatusDetails: import_smithy_client.expectString,    name: import_smithy_client.expectString,    resourceConfig: import_smithy_client._json,    status: import_smithy_client.expectString,    statusDetails: import_smithy_client._json,    stoppingCondition: import_smithy_client._json,    trainedModelArn: import_smithy_client.expectString,    trainingContainerImageDigest: import_smithy_client.expectString,    trainingInputMode: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime"),    versionIdentifier: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_GetCollaborationTrainedModelCommand");var de_GetConfiguredAudienceModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    audienceModelArn: import_smithy_client.expectString,    audienceSizeConfig: import_smithy_client._json,    childResourceTagOnCreatePolicy: import_smithy_client.expectString,    configuredAudienceModelArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    minMatchingSeedSize: import_smithy_client.expectInt32,    name: import_smithy_client.expectString,    outputConfig: import_smithy_client._json,    sharedAudienceMetrics: import_smithy_client._json,    status: import_smithy_client.expectString,    tags: import_smithy_client._json,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetConfiguredAudienceModelCommand");var de_GetConfiguredAudienceModelPolicyCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredAudienceModelArn: import_smithy_client.expectString,    configuredAudienceModelPolicy: import_smithy_client.expectString,    policyHash: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_GetConfiguredAudienceModelPolicyCommand");var de_GetConfiguredModelAlgorithmCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredModelAlgorithmArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    inferenceContainerConfig: import_smithy_client._json,    kmsKeyArn: import_smithy_client.expectString,    name: import_smithy_client.expectString,    roleArn: import_smithy_client.expectString,    tags: import_smithy_client._json,    trainingContainerConfig: import_smithy_client._json,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetConfiguredModelAlgorithmCommand");var de_GetConfiguredModelAlgorithmAssociationCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmArn: import_smithy_client.expectString,    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    name: import_smithy_client.expectString,    privacyConfiguration: /* @__PURE__ */ __name((_) => de_PrivacyConfiguration(_, context), "privacyConfiguration"),    tags: import_smithy_client._json,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetConfiguredModelAlgorithmAssociationCommand");var de_GetMLConfigurationCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    defaultOutputLocation: import_smithy_client._json,    membershipIdentifier: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetMLConfigurationCommand");var de_GetMLInputChannelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmAssociations: import_smithy_client._json,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    inputChannel: import_smithy_client._json,    kmsKeyArn: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    mlInputChannelArn: import_smithy_client.expectString,    name: import_smithy_client.expectString,    numberOfFiles: import_smithy_client.limitedParseDouble,    numberOfRecords: import_smithy_client.expectLong,    protectedQueryIdentifier: import_smithy_client.expectString,    retentionInDays: import_smithy_client.expectInt32,    sizeInGb: import_smithy_client.limitedParseDouble,    status: import_smithy_client.expectString,    statusDetails: import_smithy_client._json,    tags: import_smithy_client._json,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetMLInputChannelCommand");var de_GetTrainedModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    dataChannels: import_smithy_client._json,    description: import_smithy_client.expectString,    environment: import_smithy_client._json,    hyperparameters: import_smithy_client._json,    incrementalTrainingDataChannels: import_smithy_client._json,    kmsKeyArn: import_smithy_client.expectString,    logsStatus: import_smithy_client.expectString,    logsStatusDetails: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    metricsStatus: import_smithy_client.expectString,    metricsStatusDetails: import_smithy_client.expectString,    name: import_smithy_client.expectString,    resourceConfig: import_smithy_client._json,    status: import_smithy_client.expectString,    statusDetails: import_smithy_client._json,    stoppingCondition: import_smithy_client._json,    tags: import_smithy_client._json,    trainedModelArn: import_smithy_client.expectString,    trainingContainerImageDigest: import_smithy_client.expectString,    trainingInputMode: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime"),    versionIdentifier: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_GetTrainedModelCommand");var de_GetTrainedModelInferenceJobCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    containerExecutionParameters: import_smithy_client._json,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    dataSource: import_smithy_client._json,    description: import_smithy_client.expectString,    environment: import_smithy_client._json,    inferenceContainerImageDigest: import_smithy_client.expectString,    kmsKeyArn: import_smithy_client.expectString,    logsStatus: import_smithy_client.expectString,    logsStatusDetails: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    metricsStatus: import_smithy_client.expectString,    metricsStatusDetails: import_smithy_client.expectString,    name: import_smithy_client.expectString,    outputConfiguration: import_smithy_client._json,    resourceConfig: import_smithy_client._json,    status: import_smithy_client.expectString,    statusDetails: import_smithy_client._json,    tags: import_smithy_client._json,    trainedModelArn: import_smithy_client.expectString,    trainedModelInferenceJobArn: import_smithy_client.expectString,    trainedModelVersionIdentifier: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetTrainedModelInferenceJobCommand");var de_GetTrainingDatasetCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    name: import_smithy_client.expectString,    roleArn: import_smithy_client.expectString,    status: import_smithy_client.expectString,    tags: import_smithy_client._json,    trainingData: import_smithy_client._json,    trainingDatasetArn: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });  Object.assign(contents, doc);  return contents;}, "de_GetTrainingDatasetCommand");var de_ListAudienceExportJobsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    audienceExportJobs: /* @__PURE__ */ __name((_) => de_AudienceExportJobList(_, context), "audienceExportJobs"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListAudienceExportJobsCommand");var de_ListAudienceGenerationJobsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    audienceGenerationJobs: /* @__PURE__ */ __name((_) => de_AudienceGenerationJobList(_, context), "audienceGenerationJobs"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListAudienceGenerationJobsCommand");var de_ListAudienceModelsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    audienceModels: /* @__PURE__ */ __name((_) => de_AudienceModelList(_, context), "audienceModels"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListAudienceModelsCommand");var de_ListCollaborationConfiguredModelAlgorithmAssociationsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationConfiguredModelAlgorithmAssociations: /* @__PURE__ */ __name((_) => de_CollaborationConfiguredModelAlgorithmAssociationList(_, context), "collaborationConfiguredModelAlgorithmAssociations"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListCollaborationConfiguredModelAlgorithmAssociationsCommand");var de_ListCollaborationMLInputChannelsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationMLInputChannelsList: /* @__PURE__ */ __name((_) => de_CollaborationMLInputChannelsList(_, context), "collaborationMLInputChannelsList"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListCollaborationMLInputChannelsCommand");var de_ListCollaborationTrainedModelExportJobsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationTrainedModelExportJobs: /* @__PURE__ */ __name((_) => de_CollaborationTrainedModelExportJobList(_, context), "collaborationTrainedModelExportJobs"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListCollaborationTrainedModelExportJobsCommand");var de_ListCollaborationTrainedModelInferenceJobsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationTrainedModelInferenceJobs: /* @__PURE__ */ __name((_) => de_CollaborationTrainedModelInferenceJobList(_, context), "collaborationTrainedModelInferenceJobs"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListCollaborationTrainedModelInferenceJobsCommand");var de_ListCollaborationTrainedModelsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    collaborationTrainedModels: /* @__PURE__ */ __name((_) => de_CollaborationTrainedModelList(_, context), "collaborationTrainedModels"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListCollaborationTrainedModelsCommand");var de_ListConfiguredAudienceModelsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredAudienceModels: /* @__PURE__ */ __name((_) => de_ConfiguredAudienceModelList(_, context), "configuredAudienceModels"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListConfiguredAudienceModelsCommand");var de_ListConfiguredModelAlgorithmAssociationsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredModelAlgorithmAssociations: /* @__PURE__ */ __name((_) => de_ConfiguredModelAlgorithmAssociationList(_, context), "configuredModelAlgorithmAssociations"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListConfiguredModelAlgorithmAssociationsCommand");var de_ListConfiguredModelAlgorithmsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredModelAlgorithms: /* @__PURE__ */ __name((_) => de_ConfiguredModelAlgorithmList(_, context), "configuredModelAlgorithms"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListConfiguredModelAlgorithmsCommand");var de_ListMLInputChannelsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    mlInputChannelsList: /* @__PURE__ */ __name((_) => de_MLInputChannelsList(_, context), "mlInputChannelsList"),    nextToken: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_ListMLInputChannelsCommand");var de_ListTagsForResourceCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    tags: import_smithy_client._json  });  Object.assign(contents, doc);  return contents;}, "de_ListTagsForResourceCommand");var de_ListTrainedModelInferenceJobsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    nextToken: import_smithy_client.expectString,    trainedModelInferenceJobs: /* @__PURE__ */ __name((_) => de_TrainedModelInferenceJobList(_, context), "trainedModelInferenceJobs")  });  Object.assign(contents, doc);  return contents;}, "de_ListTrainedModelInferenceJobsCommand");var de_ListTrainedModelsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    nextToken: import_smithy_client.expectString,    trainedModels: /* @__PURE__ */ __name((_) => de_TrainedModelList(_, context), "trainedModels")  });  Object.assign(contents, doc);  return contents;}, "de_ListTrainedModelsCommand");var de_ListTrainedModelVersionsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    nextToken: import_smithy_client.expectString,    trainedModels: /* @__PURE__ */ __name((_) => de_TrainedModelList(_, context), "trainedModels")  });  Object.assign(contents, doc);  return contents;}, "de_ListTrainedModelVersionsCommand");var de_ListTrainingDatasetsCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    nextToken: import_smithy_client.expectString,    trainingDatasets: /* @__PURE__ */ __name((_) => de_TrainingDatasetList(_, context), "trainingDatasets")  });  Object.assign(contents, doc);  return contents;}, "de_ListTrainingDatasetsCommand");var de_PutConfiguredAudienceModelPolicyCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredAudienceModelPolicy: import_smithy_client.expectString,    policyHash: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_PutConfiguredAudienceModelPolicyCommand");var de_PutMLConfigurationCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_PutMLConfigurationCommand");var de_StartAudienceExportJobCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_StartAudienceExportJobCommand");var de_StartAudienceGenerationJobCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    audienceGenerationJobArn: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_StartAudienceGenerationJobCommand");var de_StartTrainedModelExportJobCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_StartTrainedModelExportJobCommand");var de_StartTrainedModelInferenceJobCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    trainedModelInferenceJobArn: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_StartTrainedModelInferenceJobCommand");var de_TagResourceCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_TagResourceCommand");var de_UntagResourceCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  await (0, import_smithy_client.collectBody)(output.body, context);  return contents;}, "de_UntagResourceCommand");var de_UpdateConfiguredAudienceModelCommand = /* @__PURE__ */ __name(async (output, context) => {  if (output.statusCode !== 200 && output.statusCode >= 300) {    return de_CommandError(output, context);  }  const contents = (0, import_smithy_client.map)({    $metadata: deserializeMetadata(output)  });  const data = (0, import_smithy_client.expectNonNull)((0, import_smithy_client.expectObject)(await (0, import_core2.parseJsonBody)(output.body, context)), "body");  const doc = (0, import_smithy_client.take)(data, {    configuredAudienceModelArn: import_smithy_client.expectString  });  Object.assign(contents, doc);  return contents;}, "de_UpdateConfiguredAudienceModelCommand");var de_CommandError = /* @__PURE__ */ __name(async (output, context) => {  const parsedOutput = {    ...output,    body: await (0, import_core2.parseJsonErrorBody)(output.body, context)  };  const errorCode = (0, import_core2.loadRestJsonErrorCode)(output, parsedOutput.body);  switch (errorCode) {    case "AccessDeniedException":    case "com.amazonaws.cleanroomsml#AccessDeniedException":      throw await de_AccessDeniedExceptionRes(parsedOutput, context);    case "ConflictException":    case "com.amazonaws.cleanroomsml#ConflictException":      throw await de_ConflictExceptionRes(parsedOutput, context);    case "ResourceNotFoundException":    case "com.amazonaws.cleanroomsml#ResourceNotFoundException":      throw await de_ResourceNotFoundExceptionRes(parsedOutput, context);    case "ThrottlingException":    case "com.amazonaws.cleanroomsml#ThrottlingException":      throw await de_ThrottlingExceptionRes(parsedOutput, context);    case "ValidationException":    case "com.amazonaws.cleanroomsml#ValidationException":      throw await de_ValidationExceptionRes(parsedOutput, context);    case "ServiceQuotaExceededException":    case "com.amazonaws.cleanroomsml#ServiceQuotaExceededException":      throw await de_ServiceQuotaExceededExceptionRes(parsedOutput, context);    case "InternalServiceException":    case "com.amazonaws.cleanroomsml#InternalServiceException":      throw await de_InternalServiceExceptionRes(parsedOutput, context);    default:      const parsedBody = parsedOutput.body;      return throwDefaultError({        output,        parsedBody,        errorCode      });  }}, "de_CommandError");var throwDefaultError = (0, import_smithy_client.withBaseException)(CleanRoomsMLServiceException);var de_AccessDeniedExceptionRes = /* @__PURE__ */ __name(async (parsedOutput, context) => {  const contents = (0, import_smithy_client.map)({});  const data = parsedOutput.body;  const doc = (0, import_smithy_client.take)(data, {    message: import_smithy_client.expectString  });  Object.assign(contents, doc);  const exception = new AccessDeniedException({    $metadata: deserializeMetadata(parsedOutput),    ...contents  });  return (0, import_smithy_client.decorateServiceException)(exception, parsedOutput.body);}, "de_AccessDeniedExceptionRes");var de_ConflictExceptionRes = /* @__PURE__ */ __name(async (parsedOutput, context) => {  const contents = (0, import_smithy_client.map)({});  const data = parsedOutput.body;  const doc = (0, import_smithy_client.take)(data, {    message: import_smithy_client.expectString  });  Object.assign(contents, doc);  const exception = new ConflictException({    $metadata: deserializeMetadata(parsedOutput),    ...contents  });  return (0, import_smithy_client.decorateServiceException)(exception, parsedOutput.body);}, "de_ConflictExceptionRes");var de_InternalServiceExceptionRes = /* @__PURE__ */ __name(async (parsedOutput, context) => {  const contents = (0, import_smithy_client.map)({});  const data = parsedOutput.body;  const doc = (0, import_smithy_client.take)(data, {    message: import_smithy_client.expectString  });  Object.assign(contents, doc);  const exception = new InternalServiceException({    $metadata: deserializeMetadata(parsedOutput),    ...contents  });  return (0, import_smithy_client.decorateServiceException)(exception, parsedOutput.body);}, "de_InternalServiceExceptionRes");var de_ResourceNotFoundExceptionRes = /* @__PURE__ */ __name(async (parsedOutput, context) => {  const contents = (0, import_smithy_client.map)({});  const data = parsedOutput.body;  const doc = (0, import_smithy_client.take)(data, {    message: import_smithy_client.expectString  });  Object.assign(contents, doc);  const exception = new ResourceNotFoundException({    $metadata: deserializeMetadata(parsedOutput),    ...contents  });  return (0, import_smithy_client.decorateServiceException)(exception, parsedOutput.body);}, "de_ResourceNotFoundExceptionRes");var de_ServiceQuotaExceededExceptionRes = /* @__PURE__ */ __name(async (parsedOutput, context) => {  const contents = (0, import_smithy_client.map)({});  const data = parsedOutput.body;  const doc = (0, import_smithy_client.take)(data, {    message: import_smithy_client.expectString,    quotaName: import_smithy_client.expectString,    quotaValue: import_smithy_client.limitedParseDouble  });  Object.assign(contents, doc);  const exception = new ServiceQuotaExceededException({    $metadata: deserializeMetadata(parsedOutput),    ...contents  });  return (0, import_smithy_client.decorateServiceException)(exception, parsedOutput.body);}, "de_ServiceQuotaExceededExceptionRes");var de_ThrottlingExceptionRes = /* @__PURE__ */ __name(async (parsedOutput, context) => {  const contents = (0, import_smithy_client.map)({});  const data = parsedOutput.body;  const doc = (0, import_smithy_client.take)(data, {    message: import_smithy_client.expectString  });  Object.assign(contents, doc);  const exception = new ThrottlingException({    $metadata: deserializeMetadata(parsedOutput),    ...contents  });  return (0, import_smithy_client.decorateServiceException)(exception, parsedOutput.body);}, "de_ThrottlingExceptionRes");var de_ValidationExceptionRes = /* @__PURE__ */ __name(async (parsedOutput, context) => {  const contents = (0, import_smithy_client.map)({});  const data = parsedOutput.body;  const doc = (0, import_smithy_client.take)(data, {    message: import_smithy_client.expectString  });  Object.assign(contents, doc);  const exception = new ValidationException({    $metadata: deserializeMetadata(parsedOutput),    ...contents  });  return (0, import_smithy_client.decorateServiceException)(exception, parsedOutput.body);}, "de_ValidationExceptionRes");var se_PrivacyConfiguration = /* @__PURE__ */ __name((input, context) => {  return (0, import_smithy_client.take)(input, {    policies: /* @__PURE__ */ __name((_) => se_PrivacyConfigurationPolicies(_, context), "policies")  });}, "se_PrivacyConfiguration");var se_PrivacyConfigurationPolicies = /* @__PURE__ */ __name((input, context) => {  return (0, import_smithy_client.take)(input, {    trainedModelExports: /* @__PURE__ */ __name((_) => se_TrainedModelExportsConfigurationPolicy(_, context), "trainedModelExports"),    trainedModelInferenceJobs: /* @__PURE__ */ __name((_) => se_TrainedModelInferenceJobsConfigurationPolicy(_, context), "trainedModelInferenceJobs"),    trainedModels: /* @__PURE__ */ __name((_) => se_TrainedModelsConfigurationPolicy(_, context), "trainedModels")  });}, "se_PrivacyConfigurationPolicies");var se_TrainedModelArtifactMaxSize = /* @__PURE__ */ __name((input, context) => {  return (0, import_smithy_client.take)(input, {    unit: [],    value: import_smithy_client.serializeFloat  });}, "se_TrainedModelArtifactMaxSize");var se_TrainedModelExportsConfigurationPolicy = /* @__PURE__ */ __name((input, context) => {  return (0, import_smithy_client.take)(input, {    filesToExport: import_smithy_client._json,    maxSize: /* @__PURE__ */ __name((_) => se_TrainedModelExportsMaxSize(_, context), "maxSize")  });}, "se_TrainedModelExportsConfigurationPolicy");var se_TrainedModelExportsMaxSize = /* @__PURE__ */ __name((input, context) => {  return (0, import_smithy_client.take)(input, {    unit: [],    value: import_smithy_client.serializeFloat  });}, "se_TrainedModelExportsMaxSize");var se_TrainedModelInferenceJobsConfigurationPolicy = /* @__PURE__ */ __name((input, context) => {  return (0, import_smithy_client.take)(input, {    containerLogs: import_smithy_client._json,    maxOutputSize: /* @__PURE__ */ __name((_) => se_TrainedModelInferenceMaxOutputSize(_, context), "maxOutputSize")  });}, "se_TrainedModelInferenceJobsConfigurationPolicy");var se_TrainedModelInferenceMaxOutputSize = /* @__PURE__ */ __name((input, context) => {  return (0, import_smithy_client.take)(input, {    unit: [],    value: import_smithy_client.serializeFloat  });}, "se_TrainedModelInferenceMaxOutputSize");var se_TrainedModelsConfigurationPolicy = /* @__PURE__ */ __name((input, context) => {  return (0, import_smithy_client.take)(input, {    containerLogs: import_smithy_client._json,    containerMetrics: import_smithy_client._json,    maxArtifactSize: /* @__PURE__ */ __name((_) => se_TrainedModelArtifactMaxSize(_, context), "maxArtifactSize")  });}, "se_TrainedModelsConfigurationPolicy");var de_AudienceExportJobList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_AudienceExportJobSummary(entry, context);  });  return retVal;}, "de_AudienceExportJobList");var de_AudienceExportJobSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    audienceGenerationJobArn: import_smithy_client.expectString,    audienceSize: import_smithy_client._json,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    name: import_smithy_client.expectString,    outputLocation: import_smithy_client.expectString,    status: import_smithy_client.expectString,    statusDetails: import_smithy_client._json,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_AudienceExportJobSummary");var de_AudienceGenerationJobList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_AudienceGenerationJobSummary(entry, context);  });  return retVal;}, "de_AudienceGenerationJobList");var de_AudienceGenerationJobSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    audienceGenerationJobArn: import_smithy_client.expectString,    collaborationId: import_smithy_client.expectString,    configuredAudienceModelArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    name: import_smithy_client.expectString,    startedBy: import_smithy_client.expectString,    status: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_AudienceGenerationJobSummary");var de_AudienceModelList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_AudienceModelSummary(entry, context);  });  return retVal;}, "de_AudienceModelList");var de_AudienceModelSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    audienceModelArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    name: import_smithy_client.expectString,    status: import_smithy_client.expectString,    trainingDatasetArn: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_AudienceModelSummary");var de_AudienceQualityMetrics = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    recallMetric: import_smithy_client.limitedParseDouble,    relevanceMetrics: /* @__PURE__ */ __name((_) => de_RelevanceMetrics(_, context), "relevanceMetrics")  });}, "de_AudienceQualityMetrics");var de_CollaborationConfiguredModelAlgorithmAssociationList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_CollaborationConfiguredModelAlgorithmAssociationSummary(entry, context);  });  return retVal;}, "de_CollaborationConfiguredModelAlgorithmAssociationList");var de_CollaborationConfiguredModelAlgorithmAssociationSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmArn: import_smithy_client.expectString,    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    creatorAccountId: import_smithy_client.expectString,    description: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    name: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_CollaborationConfiguredModelAlgorithmAssociationSummary");var de_CollaborationMLInputChannelsList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_CollaborationMLInputChannelSummary(entry, context);  });  return retVal;}, "de_CollaborationMLInputChannelsList");var de_CollaborationMLInputChannelSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmAssociations: import_smithy_client._json,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    creatorAccountId: import_smithy_client.expectString,    description: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    mlInputChannelArn: import_smithy_client.expectString,    name: import_smithy_client.expectString,    status: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_CollaborationMLInputChannelSummary");var de_CollaborationTrainedModelExportJobList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_CollaborationTrainedModelExportJobSummary(entry, context);  });  return retVal;}, "de_CollaborationTrainedModelExportJobList");var de_CollaborationTrainedModelExportJobSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    collaborationIdentifier: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    creatorAccountId: import_smithy_client.expectString,    description: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    name: import_smithy_client.expectString,    outputConfiguration: import_smithy_client._json,    status: import_smithy_client.expectString,    statusDetails: import_smithy_client._json,    trainedModelArn: import_smithy_client.expectString,    trainedModelVersionIdentifier: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_CollaborationTrainedModelExportJobSummary");var de_CollaborationTrainedModelInferenceJobList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_CollaborationTrainedModelInferenceJobSummary(entry, context);  });  return retVal;}, "de_CollaborationTrainedModelInferenceJobList");var de_CollaborationTrainedModelInferenceJobSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    creatorAccountId: import_smithy_client.expectString,    description: import_smithy_client.expectString,    logsStatus: import_smithy_client.expectString,    logsStatusDetails: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    metricsStatus: import_smithy_client.expectString,    metricsStatusDetails: import_smithy_client.expectString,    name: import_smithy_client.expectString,    outputConfiguration: import_smithy_client._json,    status: import_smithy_client.expectString,    trainedModelArn: import_smithy_client.expectString,    trainedModelInferenceJobArn: import_smithy_client.expectString,    trainedModelVersionIdentifier: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_CollaborationTrainedModelInferenceJobSummary");var de_CollaborationTrainedModelList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_CollaborationTrainedModelSummary(entry, context);  });  return retVal;}, "de_CollaborationTrainedModelList");var de_CollaborationTrainedModelSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    creatorAccountId: import_smithy_client.expectString,    description: import_smithy_client.expectString,    incrementalTrainingDataChannels: import_smithy_client._json,    membershipIdentifier: import_smithy_client.expectString,    name: import_smithy_client.expectString,    status: import_smithy_client.expectString,    trainedModelArn: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime"),    versionIdentifier: import_smithy_client.expectString  });}, "de_CollaborationTrainedModelSummary");var de_ConfiguredAudienceModelList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_ConfiguredAudienceModelSummary(entry, context);  });  return retVal;}, "de_ConfiguredAudienceModelList");var de_ConfiguredAudienceModelSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    audienceModelArn: import_smithy_client.expectString,    configuredAudienceModelArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    name: import_smithy_client.expectString,    outputConfig: import_smithy_client._json,    status: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_ConfiguredAudienceModelSummary");var de_ConfiguredModelAlgorithmAssociationList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_ConfiguredModelAlgorithmAssociationSummary(entry, context);  });  return retVal;}, "de_ConfiguredModelAlgorithmAssociationList");var de_ConfiguredModelAlgorithmAssociationSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmArn: import_smithy_client.expectString,    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    name: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_ConfiguredModelAlgorithmAssociationSummary");var de_ConfiguredModelAlgorithmList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_ConfiguredModelAlgorithmSummary(entry, context);  });  return retVal;}, "de_ConfiguredModelAlgorithmList");var de_ConfiguredModelAlgorithmSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    configuredModelAlgorithmArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    name: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_ConfiguredModelAlgorithmSummary");var de_MLInputChannelsList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_MLInputChannelSummary(entry, context);  });  return retVal;}, "de_MLInputChannelsList");var de_MLInputChannelSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmAssociations: import_smithy_client._json,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    mlInputChannelArn: import_smithy_client.expectString,    name: import_smithy_client.expectString,    protectedQueryIdentifier: import_smithy_client.expectString,    status: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_MLInputChannelSummary");var de_PrivacyConfiguration = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    policies: /* @__PURE__ */ __name((_) => de_PrivacyConfigurationPolicies(_, context), "policies")  });}, "de_PrivacyConfiguration");var de_PrivacyConfigurationPolicies = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    trainedModelExports: /* @__PURE__ */ __name((_) => de_TrainedModelExportsConfigurationPolicy(_, context), "trainedModelExports"),    trainedModelInferenceJobs: /* @__PURE__ */ __name((_) => de_TrainedModelInferenceJobsConfigurationPolicy(_, context), "trainedModelInferenceJobs"),    trainedModels: /* @__PURE__ */ __name((_) => de_TrainedModelsConfigurationPolicy(_, context), "trainedModels")  });}, "de_PrivacyConfigurationPolicies");var de_RelevanceMetric = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    audienceSize: import_smithy_client._json,    score: import_smithy_client.limitedParseDouble  });}, "de_RelevanceMetric");var de_RelevanceMetrics = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_RelevanceMetric(entry, context);  });  return retVal;}, "de_RelevanceMetrics");var de_TrainedModelArtifactMaxSize = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    unit: import_smithy_client.expectString,    value: import_smithy_client.limitedParseDouble  });}, "de_TrainedModelArtifactMaxSize");var de_TrainedModelExportsConfigurationPolicy = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    filesToExport: import_smithy_client._json,    maxSize: /* @__PURE__ */ __name((_) => de_TrainedModelExportsMaxSize(_, context), "maxSize")  });}, "de_TrainedModelExportsConfigurationPolicy");var de_TrainedModelExportsMaxSize = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    unit: import_smithy_client.expectString,    value: import_smithy_client.limitedParseDouble  });}, "de_TrainedModelExportsMaxSize");var de_TrainedModelInferenceJobList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_TrainedModelInferenceJobSummary(entry, context);  });  return retVal;}, "de_TrainedModelInferenceJobList");var de_TrainedModelInferenceJobsConfigurationPolicy = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    containerLogs: import_smithy_client._json,    maxOutputSize: /* @__PURE__ */ __name((_) => de_TrainedModelInferenceMaxOutputSize(_, context), "maxOutputSize")  });}, "de_TrainedModelInferenceJobsConfigurationPolicy");var de_TrainedModelInferenceJobSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    logsStatus: import_smithy_client.expectString,    logsStatusDetails: import_smithy_client.expectString,    membershipIdentifier: import_smithy_client.expectString,    metricsStatus: import_smithy_client.expectString,    metricsStatusDetails: import_smithy_client.expectString,    name: import_smithy_client.expectString,    outputConfiguration: import_smithy_client._json,    status: import_smithy_client.expectString,    trainedModelArn: import_smithy_client.expectString,    trainedModelInferenceJobArn: import_smithy_client.expectString,    trainedModelVersionIdentifier: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_TrainedModelInferenceJobSummary");var de_TrainedModelInferenceMaxOutputSize = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    unit: import_smithy_client.expectString,    value: import_smithy_client.limitedParseDouble  });}, "de_TrainedModelInferenceMaxOutputSize");var de_TrainedModelList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_TrainedModelSummary(entry, context);  });  return retVal;}, "de_TrainedModelList");var de_TrainedModelsConfigurationPolicy = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    containerLogs: import_smithy_client._json,    containerMetrics: import_smithy_client._json,    maxArtifactSize: /* @__PURE__ */ __name((_) => de_TrainedModelArtifactMaxSize(_, context), "maxArtifactSize")  });}, "de_TrainedModelsConfigurationPolicy");var de_TrainedModelSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    collaborationIdentifier: import_smithy_client.expectString,    configuredModelAlgorithmAssociationArn: import_smithy_client.expectString,    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    incrementalTrainingDataChannels: import_smithy_client._json,    membershipIdentifier: import_smithy_client.expectString,    name: import_smithy_client.expectString,    status: import_smithy_client.expectString,    trainedModelArn: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime"),    versionIdentifier: import_smithy_client.expectString  });}, "de_TrainedModelSummary");var de_TrainingDatasetList = /* @__PURE__ */ __name((output, context) => {  const retVal = (output || []).filter((e) => e != null).map((entry) => {    return de_TrainingDatasetSummary(entry, context);  });  return retVal;}, "de_TrainingDatasetList");var de_TrainingDatasetSummary = /* @__PURE__ */ __name((output, context) => {  return (0, import_smithy_client.take)(output, {    createTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "createTime"),    description: import_smithy_client.expectString,    name: import_smithy_client.expectString,    status: import_smithy_client.expectString,    trainingDatasetArn: import_smithy_client.expectString,    updateTime: /* @__PURE__ */ __name((_) => (0, import_smithy_client.expectNonNull)((0, import_smithy_client.parseRfc3339DateTimeWithOffset)(_)), "updateTime")  });}, "de_TrainingDatasetSummary");var deserializeMetadata = /* @__PURE__ */ __name((output) => ({  httpStatusCode: output.statusCode,  requestId: output.headers["x-amzn-requestid"] ?? output.headers["x-amzn-request-id"] ?? output.headers["x-amz-request-id"],  extendedRequestId: output.headers["x-amz-id-2"],  cfId: output.headers["x-amz-cf-id"]}), "deserializeMetadata");var _aGJA = "audienceGenerationJobArn";var _cAMA = "configuredAudienceModelArn";var _cI = "collaborationId";var _mR = "maxResults";var _nT = "nextToken";var _s = "status";var _tK = "tagKeys";var _tMA = "trainedModelArn";var _tMVI = "trainedModelVersionIdentifier";var _vI = "versionIdentifier"; // src/commands/CancelTrainedModelCommand.tsvar CancelTrainedModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "CancelTrainedModel", {}).n("CleanRoomsMLClient", "CancelTrainedModelCommand").f(void 0, void 0).ser(se_CancelTrainedModelCommand).de(de_CancelTrainedModelCommand).build() {  static {    __name(this, "CancelTrainedModelCommand");  }}; // src/commands/CancelTrainedModelInferenceJobCommand.ts   var CancelTrainedModelInferenceJobCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "CancelTrainedModelInferenceJob", {}).n("CleanRoomsMLClient", "CancelTrainedModelInferenceJobCommand").f(void 0, void 0).ser(se_CancelTrainedModelInferenceJobCommand).de(de_CancelTrainedModelInferenceJobCommand).build() {  static {    __name(this, "CancelTrainedModelInferenceJobCommand");  }}; // src/commands/CreateAudienceModelCommand.ts   var CreateAudienceModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "CreateAudienceModel", {}).n("CleanRoomsMLClient", "CreateAudienceModelCommand").f(void 0, void 0).ser(se_CreateAudienceModelCommand).de(de_CreateAudienceModelCommand).build() {  static {    __name(this, "CreateAudienceModelCommand");  }}; // src/commands/CreateConfiguredAudienceModelCommand.ts   var CreateConfiguredAudienceModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "CreateConfiguredAudienceModel", {}).n("CleanRoomsMLClient", "CreateConfiguredAudienceModelCommand").f(void 0, void 0).ser(se_CreateConfiguredAudienceModelCommand).de(de_CreateConfiguredAudienceModelCommand).build() {  static {    __name(this, "CreateConfiguredAudienceModelCommand");  }}; // src/commands/CreateConfiguredModelAlgorithmAssociationCommand.ts   var CreateConfiguredModelAlgorithmAssociationCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "CreateConfiguredModelAlgorithmAssociation", {}).n("CleanRoomsMLClient", "CreateConfiguredModelAlgorithmAssociationCommand").f(void 0, void 0).ser(se_CreateConfiguredModelAlgorithmAssociationCommand).de(de_CreateConfiguredModelAlgorithmAssociationCommand).build() {  static {    __name(this, "CreateConfiguredModelAlgorithmAssociationCommand");  }}; // src/commands/CreateConfiguredModelAlgorithmCommand.ts   var CreateConfiguredModelAlgorithmCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "CreateConfiguredModelAlgorithm", {}).n("CleanRoomsMLClient", "CreateConfiguredModelAlgorithmCommand").f(void 0, void 0).ser(se_CreateConfiguredModelAlgorithmCommand).de(de_CreateConfiguredModelAlgorithmCommand).build() {  static {    __name(this, "CreateConfiguredModelAlgorithmCommand");  }}; // src/commands/CreateMLInputChannelCommand.ts   var CreateMLInputChannelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "CreateMLInputChannel", {}).n("CleanRoomsMLClient", "CreateMLInputChannelCommand").f(CreateMLInputChannelRequestFilterSensitiveLog, void 0).ser(se_CreateMLInputChannelCommand).de(de_CreateMLInputChannelCommand).build() {  static {    __name(this, "CreateMLInputChannelCommand");  }}; // src/commands/CreateTrainedModelCommand.ts   var CreateTrainedModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "CreateTrainedModel", {}).n("CleanRoomsMLClient", "CreateTrainedModelCommand").f(void 0, void 0).ser(se_CreateTrainedModelCommand).de(de_CreateTrainedModelCommand).build() {  static {    __name(this, "CreateTrainedModelCommand");  }}; // src/commands/CreateTrainingDatasetCommand.ts   var CreateTrainingDatasetCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "CreateTrainingDataset", {}).n("CleanRoomsMLClient", "CreateTrainingDatasetCommand").f(void 0, void 0).ser(se_CreateTrainingDatasetCommand).de(de_CreateTrainingDatasetCommand).build() {  static {    __name(this, "CreateTrainingDatasetCommand");  }}; // src/commands/DeleteAudienceGenerationJobCommand.ts   var DeleteAudienceGenerationJobCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "DeleteAudienceGenerationJob", {}).n("CleanRoomsMLClient", "DeleteAudienceGenerationJobCommand").f(void 0, void 0).ser(se_DeleteAudienceGenerationJobCommand).de(de_DeleteAudienceGenerationJobCommand).build() {  static {    __name(this, "DeleteAudienceGenerationJobCommand");  }}; // src/commands/DeleteAudienceModelCommand.ts   var DeleteAudienceModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "DeleteAudienceModel", {}).n("CleanRoomsMLClient", "DeleteAudienceModelCommand").f(void 0, void 0).ser(se_DeleteAudienceModelCommand).de(de_DeleteAudienceModelCommand).build() {  static {    __name(this, "DeleteAudienceModelCommand");  }}; // src/commands/DeleteConfiguredAudienceModelCommand.ts   var DeleteConfiguredAudienceModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "DeleteConfiguredAudienceModel", {}).n("CleanRoomsMLClient", "DeleteConfiguredAudienceModelCommand").f(void 0, void 0).ser(se_DeleteConfiguredAudienceModelCommand).de(de_DeleteConfiguredAudienceModelCommand).build() {  static {    __name(this, "DeleteConfiguredAudienceModelCommand");  }}; // src/commands/DeleteConfiguredAudienceModelPolicyCommand.ts   var DeleteConfiguredAudienceModelPolicyCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "DeleteConfiguredAudienceModelPolicy", {}).n("CleanRoomsMLClient", "DeleteConfiguredAudienceModelPolicyCommand").f(void 0, void 0).ser(se_DeleteConfiguredAudienceModelPolicyCommand).de(de_DeleteConfiguredAudienceModelPolicyCommand).build() {  static {    __name(this, "DeleteConfiguredAudienceModelPolicyCommand");  }}; // src/commands/DeleteConfiguredModelAlgorithmAssociationCommand.ts   var DeleteConfiguredModelAlgorithmAssociationCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "DeleteConfiguredModelAlgorithmAssociation", {}).n("CleanRoomsMLClient", "DeleteConfiguredModelAlgorithmAssociationCommand").f(void 0, void 0).ser(se_DeleteConfiguredModelAlgorithmAssociationCommand).de(de_DeleteConfiguredModelAlgorithmAssociationCommand).build() {  static {    __name(this, "DeleteConfiguredModelAlgorithmAssociationCommand");  }}; // src/commands/DeleteConfiguredModelAlgorithmCommand.ts   var DeleteConfiguredModelAlgorithmCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "DeleteConfiguredModelAlgorithm", {}).n("CleanRoomsMLClient", "DeleteConfiguredModelAlgorithmCommand").f(void 0, void 0).ser(se_DeleteConfiguredModelAlgorithmCommand).de(de_DeleteConfiguredModelAlgorithmCommand).build() {  static {    __name(this, "DeleteConfiguredModelAlgorithmCommand");  }}; // src/commands/DeleteMLConfigurationCommand.ts   var DeleteMLConfigurationCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "DeleteMLConfiguration", {}).n("CleanRoomsMLClient", "DeleteMLConfigurationCommand").f(void 0, void 0).ser(se_DeleteMLConfigurationCommand).de(de_DeleteMLConfigurationCommand).build() {  static {    __name(this, "DeleteMLConfigurationCommand");  }}; // src/commands/DeleteMLInputChannelDataCommand.ts   var DeleteMLInputChannelDataCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "DeleteMLInputChannelData", {}).n("CleanRoomsMLClient", "DeleteMLInputChannelDataCommand").f(void 0, void 0).ser(se_DeleteMLInputChannelDataCommand).de(de_DeleteMLInputChannelDataCommand).build() {  static {    __name(this, "DeleteMLInputChannelDataCommand");  }}; // src/commands/DeleteTrainedModelOutputCommand.ts   var DeleteTrainedModelOutputCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "DeleteTrainedModelOutput", {}).n("CleanRoomsMLClient", "DeleteTrainedModelOutputCommand").f(void 0, void 0).ser(se_DeleteTrainedModelOutputCommand).de(de_DeleteTrainedModelOutputCommand).build() {  static {    __name(this, "DeleteTrainedModelOutputCommand");  }}; // src/commands/DeleteTrainingDatasetCommand.ts   var DeleteTrainingDatasetCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "DeleteTrainingDataset", {}).n("CleanRoomsMLClient", "DeleteTrainingDatasetCommand").f(void 0, void 0).ser(se_DeleteTrainingDatasetCommand).de(de_DeleteTrainingDatasetCommand).build() {  static {    __name(this, "DeleteTrainingDatasetCommand");  }}; // src/commands/GetAudienceGenerationJobCommand.ts   var GetAudienceGenerationJobCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetAudienceGenerationJob", {}).n("CleanRoomsMLClient", "GetAudienceGenerationJobCommand").f(void 0, GetAudienceGenerationJobResponseFilterSensitiveLog).ser(se_GetAudienceGenerationJobCommand).de(de_GetAudienceGenerationJobCommand).build() {  static {    __name(this, "GetAudienceGenerationJobCommand");  }}; // src/commands/GetAudienceModelCommand.ts   var GetAudienceModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetAudienceModel", {}).n("CleanRoomsMLClient", "GetAudienceModelCommand").f(void 0, void 0).ser(se_GetAudienceModelCommand).de(de_GetAudienceModelCommand).build() {  static {    __name(this, "GetAudienceModelCommand");  }}; // src/commands/GetCollaborationConfiguredModelAlgorithmAssociationCommand.ts   var GetCollaborationConfiguredModelAlgorithmAssociationCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetCollaborationConfiguredModelAlgorithmAssociation", {}).n("CleanRoomsMLClient", "GetCollaborationConfiguredModelAlgorithmAssociationCommand").f(void 0, void 0).ser(se_GetCollaborationConfiguredModelAlgorithmAssociationCommand).de(de_GetCollaborationConfiguredModelAlgorithmAssociationCommand).build() {  static {    __name(this, "GetCollaborationConfiguredModelAlgorithmAssociationCommand");  }}; // src/commands/GetCollaborationMLInputChannelCommand.ts   var GetCollaborationMLInputChannelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetCollaborationMLInputChannel", {}).n("CleanRoomsMLClient", "GetCollaborationMLInputChannelCommand").f(void 0, void 0).ser(se_GetCollaborationMLInputChannelCommand).de(de_GetCollaborationMLInputChannelCommand).build() {  static {    __name(this, "GetCollaborationMLInputChannelCommand");  }}; // src/commands/GetCollaborationTrainedModelCommand.ts   var GetCollaborationTrainedModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetCollaborationTrainedModel", {}).n("CleanRoomsMLClient", "GetCollaborationTrainedModelCommand").f(void 0, void 0).ser(se_GetCollaborationTrainedModelCommand).de(de_GetCollaborationTrainedModelCommand).build() {  static {    __name(this, "GetCollaborationTrainedModelCommand");  }}; // src/commands/GetConfiguredAudienceModelCommand.ts   var GetConfiguredAudienceModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetConfiguredAudienceModel", {}).n("CleanRoomsMLClient", "GetConfiguredAudienceModelCommand").f(void 0, void 0).ser(se_GetConfiguredAudienceModelCommand).de(de_GetConfiguredAudienceModelCommand).build() {  static {    __name(this, "GetConfiguredAudienceModelCommand");  }}; // src/commands/GetConfiguredAudienceModelPolicyCommand.ts   var GetConfiguredAudienceModelPolicyCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetConfiguredAudienceModelPolicy", {}).n("CleanRoomsMLClient", "GetConfiguredAudienceModelPolicyCommand").f(void 0, void 0).ser(se_GetConfiguredAudienceModelPolicyCommand).de(de_GetConfiguredAudienceModelPolicyCommand).build() {  static {    __name(this, "GetConfiguredAudienceModelPolicyCommand");  }}; // src/commands/GetConfiguredModelAlgorithmAssociationCommand.ts   var GetConfiguredModelAlgorithmAssociationCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetConfiguredModelAlgorithmAssociation", {}).n("CleanRoomsMLClient", "GetConfiguredModelAlgorithmAssociationCommand").f(void 0, void 0).ser(se_GetConfiguredModelAlgorithmAssociationCommand).de(de_GetConfiguredModelAlgorithmAssociationCommand).build() {  static {    __name(this, "GetConfiguredModelAlgorithmAssociationCommand");  }}; // src/commands/GetConfiguredModelAlgorithmCommand.ts   var GetConfiguredModelAlgorithmCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetConfiguredModelAlgorithm", {}).n("CleanRoomsMLClient", "GetConfiguredModelAlgorithmCommand").f(void 0, void 0).ser(se_GetConfiguredModelAlgorithmCommand).de(de_GetConfiguredModelAlgorithmCommand).build() {  static {    __name(this, "GetConfiguredModelAlgorithmCommand");  }}; // src/commands/GetMLConfigurationCommand.ts   var GetMLConfigurationCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetMLConfiguration", {}).n("CleanRoomsMLClient", "GetMLConfigurationCommand").f(void 0, void 0).ser(se_GetMLConfigurationCommand).de(de_GetMLConfigurationCommand).build() {  static {    __name(this, "GetMLConfigurationCommand");  }}; // src/commands/GetMLInputChannelCommand.ts   var GetMLInputChannelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetMLInputChannel", {}).n("CleanRoomsMLClient", "GetMLInputChannelCommand").f(void 0, GetMLInputChannelResponseFilterSensitiveLog).ser(se_GetMLInputChannelCommand).de(de_GetMLInputChannelCommand).build() {  static {    __name(this, "GetMLInputChannelCommand");  }}; // src/commands/GetTrainedModelCommand.ts   var GetTrainedModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetTrainedModel", {}).n("CleanRoomsMLClient", "GetTrainedModelCommand").f(void 0, void 0).ser(se_GetTrainedModelCommand).de(de_GetTrainedModelCommand).build() {  static {    __name(this, "GetTrainedModelCommand");  }}; // src/commands/GetTrainedModelInferenceJobCommand.ts   var GetTrainedModelInferenceJobCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetTrainedModelInferenceJob", {}).n("CleanRoomsMLClient", "GetTrainedModelInferenceJobCommand").f(void 0, void 0).ser(se_GetTrainedModelInferenceJobCommand).de(de_GetTrainedModelInferenceJobCommand).build() {  static {    __name(this, "GetTrainedModelInferenceJobCommand");  }}; // src/commands/GetTrainingDatasetCommand.ts   var GetTrainingDatasetCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "GetTrainingDataset", {}).n("CleanRoomsMLClient", "GetTrainingDatasetCommand").f(void 0, void 0).ser(se_GetTrainingDatasetCommand).de(de_GetTrainingDatasetCommand).build() {  static {    __name(this, "GetTrainingDatasetCommand");  }}; // src/commands/ListAudienceExportJobsCommand.ts   var ListAudienceExportJobsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListAudienceExportJobs", {}).n("CleanRoomsMLClient", "ListAudienceExportJobsCommand").f(void 0, void 0).ser(se_ListAudienceExportJobsCommand).de(de_ListAudienceExportJobsCommand).build() {  static {    __name(this, "ListAudienceExportJobsCommand");  }}; // src/commands/ListAudienceGenerationJobsCommand.ts   var ListAudienceGenerationJobsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListAudienceGenerationJobs", {}).n("CleanRoomsMLClient", "ListAudienceGenerationJobsCommand").f(void 0, void 0).ser(se_ListAudienceGenerationJobsCommand).de(de_ListAudienceGenerationJobsCommand).build() {  static {    __name(this, "ListAudienceGenerationJobsCommand");  }}; // src/commands/ListAudienceModelsCommand.ts   var ListAudienceModelsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListAudienceModels", {}).n("CleanRoomsMLClient", "ListAudienceModelsCommand").f(void 0, void 0).ser(se_ListAudienceModelsCommand).de(de_ListAudienceModelsCommand).build() {  static {    __name(this, "ListAudienceModelsCommand");  }}; // src/commands/ListCollaborationConfiguredModelAlgorithmAssociationsCommand.ts   var ListCollaborationConfiguredModelAlgorithmAssociationsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListCollaborationConfiguredModelAlgorithmAssociations", {}).n("CleanRoomsMLClient", "ListCollaborationConfiguredModelAlgorithmAssociationsCommand").f(void 0, void 0).ser(se_ListCollaborationConfiguredModelAlgorithmAssociationsCommand).de(de_ListCollaborationConfiguredModelAlgorithmAssociationsCommand).build() {  static {    __name(this, "ListCollaborationConfiguredModelAlgorithmAssociationsCommand");  }}; // src/commands/ListCollaborationMLInputChannelsCommand.ts   var ListCollaborationMLInputChannelsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListCollaborationMLInputChannels", {}).n("CleanRoomsMLClient", "ListCollaborationMLInputChannelsCommand").f(void 0, void 0).ser(se_ListCollaborationMLInputChannelsCommand).de(de_ListCollaborationMLInputChannelsCommand).build() {  static {    __name(this, "ListCollaborationMLInputChannelsCommand");  }}; // src/commands/ListCollaborationTrainedModelExportJobsCommand.ts   var ListCollaborationTrainedModelExportJobsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListCollaborationTrainedModelExportJobs", {}).n("CleanRoomsMLClient", "ListCollaborationTrainedModelExportJobsCommand").f(void 0, void 0).ser(se_ListCollaborationTrainedModelExportJobsCommand).de(de_ListCollaborationTrainedModelExportJobsCommand).build() {  static {    __name(this, "ListCollaborationTrainedModelExportJobsCommand");  }}; // src/commands/ListCollaborationTrainedModelInferenceJobsCommand.ts   var ListCollaborationTrainedModelInferenceJobsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListCollaborationTrainedModelInferenceJobs", {}).n("CleanRoomsMLClient", "ListCollaborationTrainedModelInferenceJobsCommand").f(void 0, void 0).ser(se_ListCollaborationTrainedModelInferenceJobsCommand).de(de_ListCollaborationTrainedModelInferenceJobsCommand).build() {  static {    __name(this, "ListCollaborationTrainedModelInferenceJobsCommand");  }}; // src/commands/ListCollaborationTrainedModelsCommand.ts   var ListCollaborationTrainedModelsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListCollaborationTrainedModels", {}).n("CleanRoomsMLClient", "ListCollaborationTrainedModelsCommand").f(void 0, void 0).ser(se_ListCollaborationTrainedModelsCommand).de(de_ListCollaborationTrainedModelsCommand).build() {  static {    __name(this, "ListCollaborationTrainedModelsCommand");  }}; // src/commands/ListConfiguredAudienceModelsCommand.ts   var ListConfiguredAudienceModelsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListConfiguredAudienceModels", {}).n("CleanRoomsMLClient", "ListConfiguredAudienceModelsCommand").f(void 0, void 0).ser(se_ListConfiguredAudienceModelsCommand).de(de_ListConfiguredAudienceModelsCommand).build() {  static {    __name(this, "ListConfiguredAudienceModelsCommand");  }}; // src/commands/ListConfiguredModelAlgorithmAssociationsCommand.ts   var ListConfiguredModelAlgorithmAssociationsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListConfiguredModelAlgorithmAssociations", {}).n("CleanRoomsMLClient", "ListConfiguredModelAlgorithmAssociationsCommand").f(void 0, void 0).ser(se_ListConfiguredModelAlgorithmAssociationsCommand).de(de_ListConfiguredModelAlgorithmAssociationsCommand).build() {  static {    __name(this, "ListConfiguredModelAlgorithmAssociationsCommand");  }}; // src/commands/ListConfiguredModelAlgorithmsCommand.ts   var ListConfiguredModelAlgorithmsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListConfiguredModelAlgorithms", {}).n("CleanRoomsMLClient", "ListConfiguredModelAlgorithmsCommand").f(void 0, void 0).ser(se_ListConfiguredModelAlgorithmsCommand).de(de_ListConfiguredModelAlgorithmsCommand).build() {  static {    __name(this, "ListConfiguredModelAlgorithmsCommand");  }}; // src/commands/ListMLInputChannelsCommand.ts   var ListMLInputChannelsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListMLInputChannels", {}).n("CleanRoomsMLClient", "ListMLInputChannelsCommand").f(void 0, void 0).ser(se_ListMLInputChannelsCommand).de(de_ListMLInputChannelsCommand).build() {  static {    __name(this, "ListMLInputChannelsCommand");  }}; // src/commands/ListTagsForResourceCommand.ts   var ListTagsForResourceCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListTagsForResource", {}).n("CleanRoomsMLClient", "ListTagsForResourceCommand").f(void 0, void 0).ser(se_ListTagsForResourceCommand).de(de_ListTagsForResourceCommand).build() {  static {    __name(this, "ListTagsForResourceCommand");  }}; // src/commands/ListTrainedModelInferenceJobsCommand.ts   var ListTrainedModelInferenceJobsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListTrainedModelInferenceJobs", {}).n("CleanRoomsMLClient", "ListTrainedModelInferenceJobsCommand").f(void 0, void 0).ser(se_ListTrainedModelInferenceJobsCommand).de(de_ListTrainedModelInferenceJobsCommand).build() {  static {    __name(this, "ListTrainedModelInferenceJobsCommand");  }}; // src/commands/ListTrainedModelsCommand.ts   var ListTrainedModelsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListTrainedModels", {}).n("CleanRoomsMLClient", "ListTrainedModelsCommand").f(void 0, void 0).ser(se_ListTrainedModelsCommand).de(de_ListTrainedModelsCommand).build() {  static {    __name(this, "ListTrainedModelsCommand");  }}; // src/commands/ListTrainedModelVersionsCommand.ts   var ListTrainedModelVersionsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListTrainedModelVersions", {}).n("CleanRoomsMLClient", "ListTrainedModelVersionsCommand").f(void 0, void 0).ser(se_ListTrainedModelVersionsCommand).de(de_ListTrainedModelVersionsCommand).build() {  static {    __name(this, "ListTrainedModelVersionsCommand");  }}; // src/commands/ListTrainingDatasetsCommand.ts   var ListTrainingDatasetsCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "ListTrainingDatasets", {}).n("CleanRoomsMLClient", "ListTrainingDatasetsCommand").f(void 0, void 0).ser(se_ListTrainingDatasetsCommand).de(de_ListTrainingDatasetsCommand).build() {  static {    __name(this, "ListTrainingDatasetsCommand");  }}; // src/commands/PutConfiguredAudienceModelPolicyCommand.ts   var PutConfiguredAudienceModelPolicyCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "PutConfiguredAudienceModelPolicy", {}).n("CleanRoomsMLClient", "PutConfiguredAudienceModelPolicyCommand").f(void 0, void 0).ser(se_PutConfiguredAudienceModelPolicyCommand).de(de_PutConfiguredAudienceModelPolicyCommand).build() {  static {    __name(this, "PutConfiguredAudienceModelPolicyCommand");  }}; // src/commands/PutMLConfigurationCommand.ts   var PutMLConfigurationCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "PutMLConfiguration", {}).n("CleanRoomsMLClient", "PutMLConfigurationCommand").f(void 0, void 0).ser(se_PutMLConfigurationCommand).de(de_PutMLConfigurationCommand).build() {  static {    __name(this, "PutMLConfigurationCommand");  }}; // src/commands/StartAudienceExportJobCommand.ts   var StartAudienceExportJobCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "StartAudienceExportJob", {}).n("CleanRoomsMLClient", "StartAudienceExportJobCommand").f(void 0, void 0).ser(se_StartAudienceExportJobCommand).de(de_StartAudienceExportJobCommand).build() {  static {    __name(this, "StartAudienceExportJobCommand");  }}; // src/commands/StartAudienceGenerationJobCommand.ts   var StartAudienceGenerationJobCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "StartAudienceGenerationJob", {}).n("CleanRoomsMLClient", "StartAudienceGenerationJobCommand").f(StartAudienceGenerationJobRequestFilterSensitiveLog, void 0).ser(se_StartAudienceGenerationJobCommand).de(de_StartAudienceGenerationJobCommand).build() {  static {    __name(this, "StartAudienceGenerationJobCommand");  }}; // src/commands/StartTrainedModelExportJobCommand.ts   var StartTrainedModelExportJobCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "StartTrainedModelExportJob", {}).n("CleanRoomsMLClient", "StartTrainedModelExportJobCommand").f(void 0, void 0).ser(se_StartTrainedModelExportJobCommand).de(de_StartTrainedModelExportJobCommand).build() {  static {    __name(this, "StartTrainedModelExportJobCommand");  }}; // src/commands/StartTrainedModelInferenceJobCommand.ts   var StartTrainedModelInferenceJobCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "StartTrainedModelInferenceJob", {}).n("CleanRoomsMLClient", "StartTrainedModelInferenceJobCommand").f(void 0, void 0).ser(se_StartTrainedModelInferenceJobCommand).de(de_StartTrainedModelInferenceJobCommand).build() {  static {    __name(this, "StartTrainedModelInferenceJobCommand");  }}; // src/commands/TagResourceCommand.ts   var TagResourceCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "TagResource", {}).n("CleanRoomsMLClient", "TagResourceCommand").f(void 0, void 0).ser(se_TagResourceCommand).de(de_TagResourceCommand).build() {  static {    __name(this, "TagResourceCommand");  }}; // src/commands/UntagResourceCommand.ts   var UntagResourceCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "UntagResource", {}).n("CleanRoomsMLClient", "UntagResourceCommand").f(void 0, void 0).ser(se_UntagResourceCommand).de(de_UntagResourceCommand).build() {  static {    __name(this, "UntagResourceCommand");  }}; // src/commands/UpdateConfiguredAudienceModelCommand.ts   var UpdateConfiguredAudienceModelCommand = class extends import_smithy_client.Command.classBuilder().ep(commonParams).m(function(Command, cs, config, o) {  return [    (0, import_middleware_serde.getSerdePlugin)(config, this.serialize, this.deserialize),    (0, import_middleware_endpoint.getEndpointPlugin)(config, Command.getEndpointParameterInstructions())  ];}).s("AWSStarkControlService", "UpdateConfiguredAudienceModel", {}).n("CleanRoomsMLClient", "UpdateConfiguredAudienceModelCommand").f(void 0, void 0).ser(se_UpdateConfiguredAudienceModelCommand).de(de_UpdateConfiguredAudienceModelCommand).build() {  static {    __name(this, "UpdateConfiguredAudienceModelCommand");  }}; // src/CleanRoomsML.tsvar commands = {  CancelTrainedModelCommand,  CancelTrainedModelInferenceJobCommand,  CreateAudienceModelCommand,  CreateConfiguredAudienceModelCommand,  CreateConfiguredModelAlgorithmCommand,  CreateConfiguredModelAlgorithmAssociationCommand,  CreateMLInputChannelCommand,  CreateTrainedModelCommand,  CreateTrainingDatasetCommand,  DeleteAudienceGenerationJobCommand,  DeleteAudienceModelCommand,  DeleteConfiguredAudienceModelCommand,  DeleteConfiguredAudienceModelPolicyCommand,  DeleteConfiguredModelAlgorithmCommand,  DeleteConfiguredModelAlgorithmAssociationCommand,  DeleteMLConfigurationCommand,  DeleteMLInputChannelDataCommand,  DeleteTrainedModelOutputCommand,  DeleteTrainingDatasetCommand,  GetAudienceGenerationJobCommand,  GetAudienceModelCommand,  GetCollaborationConfiguredModelAlgorithmAssociationCommand,  GetCollaborationMLInputChannelCommand,  GetCollaborationTrainedModelCommand,  GetConfiguredAudienceModelCommand,  GetConfiguredAudienceModelPolicyCommand,  GetConfiguredModelAlgorithmCommand,  GetConfiguredModelAlgorithmAssociationCommand,  GetMLConfigurationCommand,  GetMLInputChannelCommand,  GetTrainedModelCommand,  GetTrainedModelInferenceJobCommand,  GetTrainingDatasetCommand,  ListAudienceExportJobsCommand,  ListAudienceGenerationJobsCommand,  ListAudienceModelsCommand,  ListCollaborationConfiguredModelAlgorithmAssociationsCommand,  ListCollaborationMLInputChannelsCommand,  ListCollaborationTrainedModelExportJobsCommand,  ListCollaborationTrainedModelInferenceJobsCommand,  ListCollaborationTrainedModelsCommand,  ListConfiguredAudienceModelsCommand,  ListConfiguredModelAlgorithmAssociationsCommand,  ListConfiguredModelAlgorithmsCommand,  ListMLInputChannelsCommand,  ListTagsForResourceCommand,  ListTrainedModelInferenceJobsCommand,  ListTrainedModelsCommand,  ListTrainedModelVersionsCommand,  ListTrainingDatasetsCommand,  PutConfiguredAudienceModelPolicyCommand,  PutMLConfigurationCommand,  StartAudienceExportJobCommand,  StartAudienceGenerationJobCommand,  StartTrainedModelExportJobCommand,  StartTrainedModelInferenceJobCommand,  TagResourceCommand,  UntagResourceCommand,  UpdateConfiguredAudienceModelCommand};var CleanRoomsML = class extends CleanRoomsMLClient {  static {    __name(this, "CleanRoomsML");  }};(0, import_smithy_client.createAggregatedClient)(commands, CleanRoomsML); // src/pagination/ListAudienceExportJobsPaginator.ts var paginateListAudienceExportJobs = (0, import_core.createPaginator)(CleanRoomsMLClient, ListAudienceExportJobsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListAudienceGenerationJobsPaginator.ts var paginateListAudienceGenerationJobs = (0, import_core.createPaginator)(CleanRoomsMLClient, ListAudienceGenerationJobsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListAudienceModelsPaginator.ts var paginateListAudienceModels = (0, import_core.createPaginator)(CleanRoomsMLClient, ListAudienceModelsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListCollaborationConfiguredModelAlgorithmAssociationsPaginator.ts var paginateListCollaborationConfiguredModelAlgorithmAssociations = (0, import_core.createPaginator)(  CleanRoomsMLClient,  ListCollaborationConfiguredModelAlgorithmAssociationsCommand,  "nextToken",  "nextToken",  "maxResults"); // src/pagination/ListCollaborationMLInputChannelsPaginator.ts var paginateListCollaborationMLInputChannels = (0, import_core.createPaginator)(CleanRoomsMLClient, ListCollaborationMLInputChannelsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListCollaborationTrainedModelExportJobsPaginator.ts var paginateListCollaborationTrainedModelExportJobs = (0, import_core.createPaginator)(CleanRoomsMLClient, ListCollaborationTrainedModelExportJobsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListCollaborationTrainedModelInferenceJobsPaginator.ts var paginateListCollaborationTrainedModelInferenceJobs = (0, import_core.createPaginator)(CleanRoomsMLClient, ListCollaborationTrainedModelInferenceJobsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListCollaborationTrainedModelsPaginator.ts var paginateListCollaborationTrainedModels = (0, import_core.createPaginator)(CleanRoomsMLClient, ListCollaborationTrainedModelsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListConfiguredAudienceModelsPaginator.ts var paginateListConfiguredAudienceModels = (0, import_core.createPaginator)(CleanRoomsMLClient, ListConfiguredAudienceModelsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListConfiguredModelAlgorithmAssociationsPaginator.ts var paginateListConfiguredModelAlgorithmAssociations = (0, import_core.createPaginator)(CleanRoomsMLClient, ListConfiguredModelAlgorithmAssociationsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListConfiguredModelAlgorithmsPaginator.ts var paginateListConfiguredModelAlgorithms = (0, import_core.createPaginator)(CleanRoomsMLClient, ListConfiguredModelAlgorithmsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListMLInputChannelsPaginator.ts var paginateListMLInputChannels = (0, import_core.createPaginator)(CleanRoomsMLClient, ListMLInputChannelsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListTrainedModelInferenceJobsPaginator.ts var paginateListTrainedModelInferenceJobs = (0, import_core.createPaginator)(CleanRoomsMLClient, ListTrainedModelInferenceJobsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListTrainedModelVersionsPaginator.ts var paginateListTrainedModelVersions = (0, import_core.createPaginator)(CleanRoomsMLClient, ListTrainedModelVersionsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListTrainedModelsPaginator.ts var paginateListTrainedModels = (0, import_core.createPaginator)(CleanRoomsMLClient, ListTrainedModelsCommand, "nextToken", "nextToken", "maxResults"); // src/pagination/ListTrainingDatasetsPaginator.ts var paginateListTrainingDatasets = (0, import_core.createPaginator)(CleanRoomsMLClient, ListTrainingDatasetsCommand, "nextToken", "nextToken", "maxResults");// Annotate the CommonJS export names for ESM import in node: 0 && (module.exports = {  CleanRoomsMLServiceException,  __Client,  CleanRoomsMLClient,  CleanRoomsML,  $Command,  CancelTrainedModelCommand,  CancelTrainedModelInferenceJobCommand,  CreateAudienceModelCommand,  CreateConfiguredAudienceModelCommand,  CreateConfiguredModelAlgorithmAssociationCommand,  CreateConfiguredModelAlgorithmCommand,  CreateMLInputChannelCommand,  CreateTrainedModelCommand,  CreateTrainingDatasetCommand,  DeleteAudienceGenerationJobCommand,  DeleteAudienceModelCommand,  DeleteConfiguredAudienceModelCommand,  DeleteConfiguredAudienceModelPolicyCommand,  DeleteConfiguredModelAlgorithmAssociationCommand,  DeleteConfiguredModelAlgorithmCommand,  DeleteMLConfigurationCommand,  DeleteMLInputChannelDataCommand,  DeleteTrainedModelOutputCommand,  DeleteTrainingDatasetCommand,  GetAudienceGenerationJobCommand,  GetAudienceModelCommand,  GetCollaborationConfiguredModelAlgorithmAssociationCommand,  GetCollaborationMLInputChannelCommand,  GetCollaborationTrainedModelCommand,  GetConfiguredAudienceModelCommand,  GetConfiguredAudienceModelPolicyCommand,  GetConfiguredModelAlgorithmAssociationCommand,  GetConfiguredModelAlgorithmCommand,  GetMLConfigurationCommand,  GetMLInputChannelCommand,  GetTrainedModelCommand,  GetTrainedModelInferenceJobCommand,  GetTrainingDatasetCommand,  ListAudienceExportJobsCommand,  ListAudienceGenerationJobsCommand,  ListAudienceModelsCommand,  ListCollaborationConfiguredModelAlgorithmAssociationsCommand,  ListCollaborationMLInputChannelsCommand,  ListCollaborationTrainedModelExportJobsCommand,  ListCollaborationTrainedModelInferenceJobsCommand,  ListCollaborationTrainedModelsCommand,  ListConfiguredAudienceModelsCommand,  ListConfiguredModelAlgorithmAssociationsCommand,  ListConfiguredModelAlgorithmsCommand,  ListMLInputChannelsCommand,  ListTagsForResourceCommand,  ListTrainedModelInferenceJobsCommand,  ListTrainedModelVersionsCommand,  ListTrainedModelsCommand,  ListTrainingDatasetsCommand,  PutConfiguredAudienceModelPolicyCommand,  PutMLConfigurationCommand,  StartAudienceExportJobCommand,  StartAudienceGenerationJobCommand,  StartTrainedModelExportJobCommand,  StartTrainedModelInferenceJobCommand,  TagResourceCommand,  UntagResourceCommand,  UpdateConfiguredAudienceModelCommand,  paginateListAudienceExportJobs,  paginateListAudienceGenerationJobs,  paginateListAudienceModels,  paginateListCollaborationConfiguredModelAlgorithmAssociations,  paginateListCollaborationMLInputChannels,  paginateListCollaborationTrainedModelExportJobs,  paginateListCollaborationTrainedModelInferenceJobs,  paginateListCollaborationTrainedModels,  paginateListConfiguredAudienceModels,  paginateListConfiguredModelAlgorithmAssociations,  paginateListConfiguredModelAlgorithms,  paginateListMLInputChannels,  paginateListTrainedModelInferenceJobs,  paginateListTrainedModelVersions,  paginateListTrainedModels,  paginateListTrainingDatasets,  AccessDeniedException,  AudienceSizeType,  AudienceExportJobStatus,  ValidationException,  ConflictException,  ResourceNotFoundException,  ServiceQuotaExceededException,  WorkerComputeType,  ComputeConfiguration,  AudienceGenerationJobStatus,  ThrottlingException,  AudienceModelStatus,  TagOnCreatePolicy,  SharedAudienceMetrics,  ConfiguredAudienceModelStatus,  PolicyExistenceCondition,  TrainedModelExportFileType,  TrainedModelExportsMaxSizeUnitType,  EntityType,  LogType,  TrainedModelInferenceMaxOutputSizeUnitType,  NoiseLevelType,  TrainedModelArtifactMaxSizeUnitType,  MLInputChannelStatus,  TrainedModelExportJobStatus,  LogsStatus,  MetricsStatus,  TrainedModelInferenceJobStatus,  TrainedModelStatus,  ResultFormat,  InputChannelDataSource,  S3DataDistributionType,  _InstanceType,  TrainingInputMode,  InternalServiceException,  InferenceInstanceType,  ColumnType,  DatasetType,  TrainingDatasetStatus,  ProtectedQuerySQLParametersFilterSensitiveLog,  AudienceGenerationJobDataSourceFilterSensitiveLog,  GetAudienceGenerationJobResponseFilterSensitiveLog,  StartAudienceGenerationJobRequestFilterSensitiveLog,  ProtectedQueryInputParametersFilterSensitiveLog,  InputChannelDataSourceFilterSensitiveLog,  InputChannelFilterSensitiveLog,  CreateMLInputChannelRequestFilterSensitiveLog,  GetMLInputChannelResponseFilterSensitiveLog});