// This is a generated file (see the discoveryapis_generator project).

library googleapis.ml.v1;

import 'dart:core' as core;
import 'dart:async' as async;
import 'dart:convert' as convert;

import 'package:_discoveryapis_commons/_discoveryapis_commons.dart' as commons;
import 'package:http/http.dart' as http;

export 'package:_discoveryapis_commons/_discoveryapis_commons.dart'
    show ApiRequestError, DetailedApiRequestError;

const core.String USER_AGENT = 'dart-api-client ml/v1';

/// An API to enable creating and using machine learning models.
class MlApi {
  /// View and manage your data across Google Cloud Platform services
  static const CloudPlatformScope =
      "https://www.googleapis.com/auth/cloud-platform";

  final commons.ApiRequester _requester;

  ProjectsResourceApi get projects => new ProjectsResourceApi(_requester);

  MlApi(http.Client client,
      {core.String rootUrl: "https://ml.googleapis.com/",
      core.String servicePath: ""})
      : _requester =
            new commons.ApiRequester(client, rootUrl, servicePath, USER_AGENT);
}

class ProjectsResourceApi {
  final commons.ApiRequester _requester;

  ProjectsJobsResourceApi get jobs => new ProjectsJobsResourceApi(_requester);
  ProjectsLocationsResourceApi get locations =>
      new ProjectsLocationsResourceApi(_requester);
  ProjectsModelsResourceApi get models =>
      new ProjectsModelsResourceApi(_requester);
  ProjectsOperationsResourceApi get operations =>
      new ProjectsOperationsResourceApi(_requester);

  ProjectsResourceApi(commons.ApiRequester client) : _requester = client;

  /// Get the service account information associated with your project. You need
  /// this information in order to grant the service account persmissions for
  /// the Google Cloud Storage location where you put your model training code
  /// for training the model with Google Cloud Machine Learning.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The project name.
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1GetConfigResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1GetConfigResponse> getConfig(core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url =
        'v1/' + commons.Escaper.ecapeVariableReserved('$name') + ':getConfig';

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response
        .then((data) => new GoogleCloudMlV1GetConfigResponse.fromJson(data));
  }

  /// Performs prediction on the data in the request.
  /// Cloud ML Engine implements a custom `predict` verb on top of an HTTP POST
  /// method. <p>For details of the request and response format, see the **guide
  /// to the [predict request format](/ml-engine/docs/v1/predict-request)**.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The resource name of a model or a version.
  ///
  /// Authorization: requires the `predict` permission on the specified
  /// resource.
  /// Value must have pattern "^projects/.+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleApiHttpBody].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleApiHttpBody> predict(
      GoogleCloudMlV1PredictRequest request, core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name') + ':predict';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleApiHttpBody.fromJson(data));
  }
}

class ProjectsJobsResourceApi {
  final commons.ApiRequester _requester;

  ProjectsJobsResourceApi(commons.ApiRequester client) : _requester = client;

  /// Cancels a running job.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The name of the job to cancel.
  /// Value must have pattern "^projects/[^/]+/jobs/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleProtobufEmpty].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleProtobufEmpty> cancel(
      GoogleCloudMlV1CancelJobRequest request, core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name') + ':cancel';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleProtobufEmpty.fromJson(data));
  }

  /// Creates a training or a batch prediction job.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The project name.
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1Job].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1Job> create(
      GoogleCloudMlV1Job request, core.String parent,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (parent == null) {
      throw new core.ArgumentError("Parameter parent is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/jobs';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleCloudMlV1Job.fromJson(data));
  }

  /// Describes a job.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The name of the job to get the description of.
  /// Value must have pattern "^projects/[^/]+/jobs/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1Job].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1Job> get(core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleCloudMlV1Job.fromJson(data));
  }

  /// Gets the access control policy for a resource.
  /// Returns an empty policy if the resource exists and does not have a policy
  /// set.
  ///
  /// Request parameters:
  ///
  /// [resource] - REQUIRED: The resource for which the policy is being
  /// requested.
  /// See the operation documentation for the appropriate value for this field.
  /// Value must have pattern "^projects/[^/]+/jobs/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleIamV1Policy].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleIamV1Policy> getIamPolicy(core.String resource,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (resource == null) {
      throw new core.ArgumentError("Parameter resource is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$resource') +
        ':getIamPolicy';

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleIamV1Policy.fromJson(data));
  }

  /// Lists the jobs in the project.
  ///
  /// If there are no jobs that match the request parameters, the list
  /// request returns an empty response body: {}.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The name of the project for which to list jobs.
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [filter] - Optional. Specifies the subset of jobs to retrieve.
  /// You can filter on the value of one or more attributes of the job object.
  /// For example, retrieve jobs with a job identifier that starts with
  /// 'census':
  /// <p><code>gcloud ml-engine jobs list --filter='jobId:census*'</code>
  /// <p>List all failed jobs with names that start with 'rnn':
  /// <p><code>gcloud ml-engine jobs list --filter='jobId:rnn*
  /// AND state:FAILED'</code>
  /// <p>For more examples, see the guide to
  /// <a href="/ml-engine/docs/monitor-training">monitoring jobs</a>.
  ///
  /// [pageToken] - Optional. A page token to request the next page of results.
  ///
  /// You get the token from the `next_page_token` field of the response from
  /// the previous call.
  ///
  /// [pageSize] - Optional. The number of jobs to retrieve per "page" of
  /// results. If there
  /// are more remaining results than this number, the response message will
  /// contain a valid value in the `next_page_token` field.
  ///
  /// The default value is 20, and the maximum page size is 100.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1ListJobsResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1ListJobsResponse> list(core.String parent,
      {core.String filter,
      core.String pageToken,
      core.int pageSize,
      core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (parent == null) {
      throw new core.ArgumentError("Parameter parent is required.");
    }
    if (filter != null) {
      _queryParams["filter"] = [filter];
    }
    if (pageToken != null) {
      _queryParams["pageToken"] = [pageToken];
    }
    if (pageSize != null) {
      _queryParams["pageSize"] = ["${pageSize}"];
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/jobs';

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response
        .then((data) => new GoogleCloudMlV1ListJobsResponse.fromJson(data));
  }

  /// Sets the access control policy on the specified resource. Replaces any
  /// existing policy.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [resource] - REQUIRED: The resource for which the policy is being
  /// specified.
  /// See the operation documentation for the appropriate value for this field.
  /// Value must have pattern "^projects/[^/]+/jobs/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleIamV1Policy].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleIamV1Policy> setIamPolicy(
      GoogleIamV1SetIamPolicyRequest request, core.String resource,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (resource == null) {
      throw new core.ArgumentError("Parameter resource is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$resource') +
        ':setIamPolicy';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleIamV1Policy.fromJson(data));
  }

  /// Returns permissions that a caller has on the specified resource.
  /// If the resource does not exist, this will return an empty set of
  /// permissions, not a NOT_FOUND error.
  ///
  /// Note: This operation is designed to be used for building permission-aware
  /// UIs and command-line tools, not for authorization checking. This operation
  /// may "fail open" without warning.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [resource] - REQUIRED: The resource for which the policy detail is being
  /// requested.
  /// See the operation documentation for the appropriate value for this field.
  /// Value must have pattern "^projects/[^/]+/jobs/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleIamV1TestIamPermissionsResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleIamV1TestIamPermissionsResponse> testIamPermissions(
      GoogleIamV1TestIamPermissionsRequest request, core.String resource,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (resource == null) {
      throw new core.ArgumentError("Parameter resource is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$resource') +
        ':testIamPermissions';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then(
        (data) => new GoogleIamV1TestIamPermissionsResponse.fromJson(data));
  }
}

class ProjectsLocationsResourceApi {
  final commons.ApiRequester _requester;

  ProjectsLocationsResourceApi(commons.ApiRequester client)
      : _requester = client;

  /// Get the complete list of CMLE capabilities in a location, along with their
  /// location-specific properties.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The name of the location.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1Location].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1Location> get(core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleCloudMlV1Location.fromJson(data));
  }

  /// List all locations that provides at least one type of CMLE capability.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The name of the project for which available locations
  /// are to be
  /// listed (since some locations might be whitelisted for specific projects).
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [pageSize] - Optional. The number of locations to retrieve per "page" of
  /// results. If there
  /// are more remaining results than this number, the response message will
  /// contain a valid value in the `next_page_token` field.
  ///
  /// The default value is 20, and the maximum page size is 100.
  ///
  /// [pageToken] - Optional. A page token to request the next page of results.
  ///
  /// You get the token from the `next_page_token` field of the response from
  /// the previous call.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1ListLocationsResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1ListLocationsResponse> list(core.String parent,
      {core.int pageSize, core.String pageToken, core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (parent == null) {
      throw new core.ArgumentError("Parameter parent is required.");
    }
    if (pageSize != null) {
      _queryParams["pageSize"] = ["${pageSize}"];
    }
    if (pageToken != null) {
      _queryParams["pageToken"] = [pageToken];
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url =
        'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/locations';

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then(
        (data) => new GoogleCloudMlV1ListLocationsResponse.fromJson(data));
  }
}

class ProjectsModelsResourceApi {
  final commons.ApiRequester _requester;

  ProjectsModelsVersionsResourceApi get versions =>
      new ProjectsModelsVersionsResourceApi(_requester);

  ProjectsModelsResourceApi(commons.ApiRequester client) : _requester = client;

  /// Creates a model which will later contain one or more versions.
  ///
  /// You must add at least one version before you can request predictions from
  /// the model. Add versions by calling
  /// [projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create).
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The project name.
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1Model].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1Model> create(
      GoogleCloudMlV1Model request, core.String parent,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (parent == null) {
      throw new core.ArgumentError("Parameter parent is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/models';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleCloudMlV1Model.fromJson(data));
  }

  /// Deletes a model.
  ///
  /// You can only delete a model if there are no versions in it. You can delete
  /// versions by calling
  /// [projects.models.versions.delete](/ml-engine/reference/rest/v1/projects.models.versions/delete).
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The name of the model.
  /// Value must have pattern "^projects/[^/]+/models/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleLongrunningOperation].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleLongrunningOperation> delete(core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "DELETE",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response
        .then((data) => new GoogleLongrunningOperation.fromJson(data));
  }

  /// Gets information about a model, including its name, the description (if
  /// set), and the default version (if at least one version of the model has
  /// been deployed).
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The name of the model.
  /// Value must have pattern "^projects/[^/]+/models/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1Model].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1Model> get(core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleCloudMlV1Model.fromJson(data));
  }

  /// Gets the access control policy for a resource.
  /// Returns an empty policy if the resource exists and does not have a policy
  /// set.
  ///
  /// Request parameters:
  ///
  /// [resource] - REQUIRED: The resource for which the policy is being
  /// requested.
  /// See the operation documentation for the appropriate value for this field.
  /// Value must have pattern "^projects/[^/]+/models/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleIamV1Policy].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleIamV1Policy> getIamPolicy(core.String resource,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (resource == null) {
      throw new core.ArgumentError("Parameter resource is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$resource') +
        ':getIamPolicy';

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleIamV1Policy.fromJson(data));
  }

  /// Lists the models in a project.
  ///
  /// Each project can contain multiple models, and each model can have multiple
  /// versions.
  ///
  /// If there are no models that match the request parameters, the list request
  /// returns an empty response body: {}.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The name of the project whose models are to be
  /// listed.
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [pageToken] - Optional. A page token to request the next page of results.
  ///
  /// You get the token from the `next_page_token` field of the response from
  /// the previous call.
  ///
  /// [pageSize] - Optional. The number of models to retrieve per "page" of
  /// results. If there
  /// are more remaining results than this number, the response message will
  /// contain a valid value in the `next_page_token` field.
  ///
  /// The default value is 20, and the maximum page size is 100.
  ///
  /// [filter] - Optional. Specifies the subset of models to retrieve.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1ListModelsResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1ListModelsResponse> list(core.String parent,
      {core.String pageToken,
      core.int pageSize,
      core.String filter,
      core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (parent == null) {
      throw new core.ArgumentError("Parameter parent is required.");
    }
    if (pageToken != null) {
      _queryParams["pageToken"] = [pageToken];
    }
    if (pageSize != null) {
      _queryParams["pageSize"] = ["${pageSize}"];
    }
    if (filter != null) {
      _queryParams["filter"] = [filter];
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/models';

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response
        .then((data) => new GoogleCloudMlV1ListModelsResponse.fromJson(data));
  }

  /// Updates a specific model resource.
  ///
  /// Currently the only supported fields to update are `description` and
  /// `default_version.name`.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The project name.
  /// Value must have pattern "^projects/[^/]+/models/[^/]+$".
  ///
  /// [updateMask] - Required. Specifies the path, relative to `Model`, of the
  /// field to update.
  ///
  /// For example, to change the description of a model to "foo" and set its
  /// default version to "version_1", the `update_mask` parameter would be
  /// specified as `description`, `default_version.name`, and the `PATCH`
  /// request body would specify the new value, as follows:
  ///     {
  ///       "description": "foo",
  ///       "defaultVersion": {
  ///         "name":"version_1"
  ///       }
  ///     }
  ///
  /// Currently the supported update masks are `description` and
  /// `default_version.name`.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleLongrunningOperation].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleLongrunningOperation> patch(
      GoogleCloudMlV1Model request, core.String name,
      {core.String updateMask, core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if (updateMask != null) {
      _queryParams["updateMask"] = [updateMask];
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "PATCH",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response
        .then((data) => new GoogleLongrunningOperation.fromJson(data));
  }

  /// Sets the access control policy on the specified resource. Replaces any
  /// existing policy.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [resource] - REQUIRED: The resource for which the policy is being
  /// specified.
  /// See the operation documentation for the appropriate value for this field.
  /// Value must have pattern "^projects/[^/]+/models/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleIamV1Policy].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleIamV1Policy> setIamPolicy(
      GoogleIamV1SetIamPolicyRequest request, core.String resource,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (resource == null) {
      throw new core.ArgumentError("Parameter resource is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$resource') +
        ':setIamPolicy';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleIamV1Policy.fromJson(data));
  }

  /// Returns permissions that a caller has on the specified resource.
  /// If the resource does not exist, this will return an empty set of
  /// permissions, not a NOT_FOUND error.
  ///
  /// Note: This operation is designed to be used for building permission-aware
  /// UIs and command-line tools, not for authorization checking. This operation
  /// may "fail open" without warning.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [resource] - REQUIRED: The resource for which the policy detail is being
  /// requested.
  /// See the operation documentation for the appropriate value for this field.
  /// Value must have pattern "^projects/[^/]+/models/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleIamV1TestIamPermissionsResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleIamV1TestIamPermissionsResponse> testIamPermissions(
      GoogleIamV1TestIamPermissionsRequest request, core.String resource,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (resource == null) {
      throw new core.ArgumentError("Parameter resource is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$resource') +
        ':testIamPermissions';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then(
        (data) => new GoogleIamV1TestIamPermissionsResponse.fromJson(data));
  }
}

class ProjectsModelsVersionsResourceApi {
  final commons.ApiRequester _requester;

  ProjectsModelsVersionsResourceApi(commons.ApiRequester client)
      : _requester = client;

  /// Creates a new version of a model from a trained TensorFlow model.
  ///
  /// If the version created in the cloud by this call is the first deployed
  /// version of the specified model, it will be made the default version of the
  /// model. When you add a version to a model that already has one or more
  /// versions, the default version does not automatically change. If you want a
  /// new version to be the default, you must call
  /// [projects.models.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The name of the model.
  /// Value must have pattern "^projects/[^/]+/models/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleLongrunningOperation].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleLongrunningOperation> create(
      GoogleCloudMlV1Version request, core.String parent,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (parent == null) {
      throw new core.ArgumentError("Parameter parent is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url =
        'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/versions';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response
        .then((data) => new GoogleLongrunningOperation.fromJson(data));
  }

  /// Deletes a model version.
  ///
  /// Each model can have multiple versions deployed and in use at any given
  /// time. Use this method to remove a single version.
  ///
  /// Note: You cannot delete the version that is set as the default version
  /// of the model unless it is the only remaining version.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The name of the version. You can get the names of all
  /// the
  /// versions of a model by calling
  /// [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
  /// Value must have pattern "^projects/[^/]+/models/[^/]+/versions/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleLongrunningOperation].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleLongrunningOperation> delete(core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "DELETE",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response
        .then((data) => new GoogleLongrunningOperation.fromJson(data));
  }

  /// Gets information about a model version.
  ///
  /// Models can have multiple versions. You can call
  /// [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list)
  /// to get the same information that this method returns for all of the
  /// versions of a model.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The name of the version.
  /// Value must have pattern "^projects/[^/]+/models/[^/]+/versions/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1Version].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1Version> get(core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleCloudMlV1Version.fromJson(data));
  }

  /// Gets basic information about all the versions of a model.
  ///
  /// If you expect that a model has many versions, or if you need to handle
  /// only a limited number of results at a time, you can request that the list
  /// be retrieved in batches (called pages).
  ///
  /// If there are no versions that match the request parameters, the list
  /// request returns an empty response body: {}.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The name of the model for which to list the version.
  /// Value must have pattern "^projects/[^/]+/models/[^/]+$".
  ///
  /// [pageToken] - Optional. A page token to request the next page of results.
  ///
  /// You get the token from the `next_page_token` field of the response from
  /// the previous call.
  ///
  /// [pageSize] - Optional. The number of versions to retrieve per "page" of
  /// results. If
  /// there are more remaining results than this number, the response message
  /// will contain a valid value in the `next_page_token` field.
  ///
  /// The default value is 20, and the maximum page size is 100.
  ///
  /// [filter] - Optional. Specifies the subset of versions to retrieve.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1ListVersionsResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1ListVersionsResponse> list(core.String parent,
      {core.String pageToken,
      core.int pageSize,
      core.String filter,
      core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (parent == null) {
      throw new core.ArgumentError("Parameter parent is required.");
    }
    if (pageToken != null) {
      _queryParams["pageToken"] = [pageToken];
    }
    if (pageSize != null) {
      _queryParams["pageSize"] = ["${pageSize}"];
    }
    if (filter != null) {
      _queryParams["filter"] = [filter];
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url =
        'v1/' + commons.Escaper.ecapeVariableReserved('$parent') + '/versions';

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response
        .then((data) => new GoogleCloudMlV1ListVersionsResponse.fromJson(data));
  }

  /// Updates the specified Version resource.
  ///
  /// Currently the only supported field to update is `description`.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The name of the model.
  /// Value must have pattern "^projects/[^/]+/models/[^/]+/versions/[^/]+$".
  ///
  /// [updateMask] - Required. Specifies the path, relative to `Version`, of the
  /// field to
  /// update. Must be present and non-empty.
  ///
  /// For example, to change the description of a version to "foo", the
  /// `update_mask` parameter would be specified as `description`, and the
  /// `PATCH` request body would specify the new value, as follows:
  ///     {
  ///       "description": "foo"
  ///     }
  ///
  /// Currently the only supported update mask is`description`.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleLongrunningOperation].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleLongrunningOperation> patch(
      GoogleCloudMlV1Version request, core.String name,
      {core.String updateMask, core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if (updateMask != null) {
      _queryParams["updateMask"] = [updateMask];
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "PATCH",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response
        .then((data) => new GoogleLongrunningOperation.fromJson(data));
  }

  /// Designates a version to be the default for the model.
  ///
  /// The default version is used for prediction requests made against the model
  /// that don't specify a version.
  ///
  /// The first version to be created for a model is automatically set as the
  /// default. You must make any subsequent changes to the default version
  /// setting manually using this method.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The name of the version to make the default for the
  /// model. You
  /// can get the names of all the versions of a model by calling
  /// [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
  /// Value must have pattern "^projects/[^/]+/models/[^/]+/versions/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleCloudMlV1Version].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleCloudMlV1Version> setDefault(
      GoogleCloudMlV1SetDefaultVersionRequest request, core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url =
        'v1/' + commons.Escaper.ecapeVariableReserved('$name') + ':setDefault';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleCloudMlV1Version.fromJson(data));
  }
}

class ProjectsOperationsResourceApi {
  final commons.ApiRequester _requester;

  ProjectsOperationsResourceApi(commons.ApiRequester client)
      : _requester = client;

  /// Starts asynchronous cancellation on a long-running operation.  The server
  /// makes a best effort to cancel the operation, but success is not
  /// guaranteed.  If the server doesn't support this method, it returns
  /// `google.rpc.Code.UNIMPLEMENTED`.  Clients can use
  /// Operations.GetOperation or
  /// other methods to check whether the cancellation succeeded or whether the
  /// operation completed despite cancellation. On successful cancellation,
  /// the operation is not deleted; instead, it becomes an operation with
  /// an Operation.error value with a google.rpc.Status.code of 1,
  /// corresponding to `Code.CANCELLED`.
  ///
  /// Request parameters:
  ///
  /// [name] - The name of the operation resource to be cancelled.
  /// Value must have pattern "^projects/[^/]+/operations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleProtobufEmpty].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleProtobufEmpty> cancel(core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name') + ':cancel';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleProtobufEmpty.fromJson(data));
  }

  /// Deletes a long-running operation. This method indicates that the client is
  /// no longer interested in the operation result. It does not cancel the
  /// operation. If the server doesn't support this method, it returns
  /// `google.rpc.Code.UNIMPLEMENTED`.
  ///
  /// Request parameters:
  ///
  /// [name] - The name of the operation resource to be deleted.
  /// Value must have pattern "^projects/[^/]+/operations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleProtobufEmpty].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleProtobufEmpty> delete(core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "DELETE",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new GoogleProtobufEmpty.fromJson(data));
  }

  /// Gets the latest state of a long-running operation.  Clients can use this
  /// method to poll the operation result at intervals as recommended by the API
  /// service.
  ///
  /// Request parameters:
  ///
  /// [name] - The name of the operation resource.
  /// Value must have pattern "^projects/[^/]+/operations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleLongrunningOperation].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleLongrunningOperation> get(core.String name,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response
        .then((data) => new GoogleLongrunningOperation.fromJson(data));
  }

  /// Lists operations that match the specified filter in the request. If the
  /// server doesn't support this method, it returns `UNIMPLEMENTED`.
  ///
  /// NOTE: the `name` binding allows API services to override the binding
  /// to use different resource name schemes, such as `users / * /operations`.
  /// To
  /// override the binding, API services can add a binding such as
  /// `"/v1/{name=users / * }/operations"` to their service configuration.
  /// For backwards compatibility, the default name includes the operations
  /// collection id, however overriding users must ensure the name binding
  /// is the parent resource, without the operations collection id.
  ///
  /// Request parameters:
  ///
  /// [name] - The name of the operation's parent resource.
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [pageToken] - The standard list page token.
  ///
  /// [pageSize] - The standard list page size.
  ///
  /// [filter] - The standard list filter.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GoogleLongrunningListOperationsResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GoogleLongrunningListOperationsResponse> list(core.String name,
      {core.String pageToken,
      core.int pageSize,
      core.String filter,
      core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if (pageToken != null) {
      _queryParams["pageToken"] = [pageToken];
    }
    if (pageSize != null) {
      _queryParams["pageSize"] = ["${pageSize}"];
    }
    if (filter != null) {
      _queryParams["filter"] = [filter];
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url =
        'v1/' + commons.Escaper.ecapeVariableReserved('$name') + '/operations';

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then(
        (data) => new GoogleLongrunningListOperationsResponse.fromJson(data));
  }
}

/// Message that represents an arbitrary HTTP body. It should only be used for
/// payload formats that can't be represented as JSON, such as raw binary or
/// an HTML page.
///
///
/// This message can be used both in streaming and non-streaming API methods in
/// the request as well as the response.
///
/// It can be used as a top-level request field, which is convenient if one
/// wants to extract parameters from either the URL or HTTP template into the
/// request fields and also want access to the raw HTTP body.
///
/// Example:
///
///     message GetResourceRequest {
///       // A unique request id.
///       string request_id = 1;
///
///       // The raw HTTP body is bound to this field.
///       google.api.HttpBody http_body = 2;
///     }
///
///     service ResourceService {
///       rpc GetResource(GetResourceRequest) returns (google.api.HttpBody);
/// rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty);
///     }
///
/// Example with streaming methods:
///
///     service CaldavService {
///       rpc GetCalendar(stream google.api.HttpBody)
///         returns (stream google.api.HttpBody);
///       rpc UpdateCalendar(stream google.api.HttpBody)
///         returns (stream google.api.HttpBody);
///     }
///
/// Use of this type only changes how the request and response bodies are
/// handled, all other features will continue to work unchanged.
class GoogleApiHttpBody {
  /// The HTTP Content-Type string representing the content type of the body.
  core.String contentType;

  /// HTTP body binary data.
  core.String data;
  core.List<core.int> get dataAsBytes {
    return convert.BASE64.decode(data);
  }

  void set dataAsBytes(core.List<core.int> _bytes) {
    data =
        convert.BASE64.encode(_bytes).replaceAll("/", "_").replaceAll("+", "-");
  }

  /// Application specific response metadata. Must be set in the first response
  /// for streaming APIs.
  ///
  /// The values for Object must be JSON objects. It can consist of `num`,
  /// `String`, `bool` and `null` as well as `Map` and `List` values.
  core.List<core.Map<core.String, core.Object>> extensions;

  GoogleApiHttpBody();

  GoogleApiHttpBody.fromJson(core.Map _json) {
    if (_json.containsKey("contentType")) {
      contentType = _json["contentType"];
    }
    if (_json.containsKey("data")) {
      data = _json["data"];
    }
    if (_json.containsKey("extensions")) {
      extensions = _json["extensions"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (contentType != null) {
      _json["contentType"] = contentType;
    }
    if (data != null) {
      _json["data"] = data;
    }
    if (extensions != null) {
      _json["extensions"] = extensions;
    }
    return _json;
  }
}

/// An observed value of a metric.
class GoogleCloudMlV1HyperparameterOutputHyperparameterMetric {
  /// The objective value at this training step.
  core.double objectiveValue;

  /// The global training step for this metric.
  core.String trainingStep;

  GoogleCloudMlV1HyperparameterOutputHyperparameterMetric();

  GoogleCloudMlV1HyperparameterOutputHyperparameterMetric.fromJson(
      core.Map _json) {
    if (_json.containsKey("objectiveValue")) {
      objectiveValue = _json["objectiveValue"];
    }
    if (_json.containsKey("trainingStep")) {
      trainingStep = _json["trainingStep"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (objectiveValue != null) {
      _json["objectiveValue"] = objectiveValue;
    }
    if (trainingStep != null) {
      _json["trainingStep"] = trainingStep;
    }
    return _json;
  }
}

/// Options for automatically scaling a model.
class GoogleCloudMlV1AutoScaling {
  /// Optional. The minimum number of nodes to allocate for this model. These
  /// nodes are always up, starting from the time the model is deployed, so the
  /// cost of operating this model will be at least
  /// `rate` * `min_nodes` * number of hours since last billing cycle,
  /// where `rate` is the cost per node-hour as documented in
  /// [pricing](https://cloud.google.com/ml-engine/pricing#prediction_pricing),
  /// even if no predictions are performed. There is additional cost for each
  /// prediction performed.
  ///
  /// Unlike manual scaling, if the load gets too heavy for the nodes
  /// that are up, the service will automatically add nodes to handle the
  /// increased load as well as scale back as traffic drops, always maintaining
  /// at least `min_nodes`. You will be charged for the time in which additional
  /// nodes are used.
  ///
  /// If not specified, `min_nodes` defaults to 0, in which case, when traffic
  /// to a model stops (and after a cool-down period), nodes will be shut down
  /// and no charges will be incurred until traffic to the model resumes.
  core.int minNodes;

  GoogleCloudMlV1AutoScaling();

  GoogleCloudMlV1AutoScaling.fromJson(core.Map _json) {
    if (_json.containsKey("minNodes")) {
      minNodes = _json["minNodes"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (minNodes != null) {
      _json["minNodes"] = minNodes;
    }
    return _json;
  }
}

/// Request message for the CancelJob method.
class GoogleCloudMlV1CancelJobRequest {
  GoogleCloudMlV1CancelJobRequest();

  GoogleCloudMlV1CancelJobRequest.fromJson(core.Map _json) {}

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    return _json;
  }
}

class GoogleCloudMlV1Capability {
  /// Available accelerators for the capability.
  core.List<core.String> availableAccelerators;

  ///
  /// Possible string values are:
  /// - "TYPE_UNSPECIFIED"
  /// - "TRAINING"
  /// - "BATCH_PREDICTION"
  /// - "ONLINE_PREDICTION"
  core.String type;

  GoogleCloudMlV1Capability();

  GoogleCloudMlV1Capability.fromJson(core.Map _json) {
    if (_json.containsKey("availableAccelerators")) {
      availableAccelerators = _json["availableAccelerators"];
    }
    if (_json.containsKey("type")) {
      type = _json["type"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (availableAccelerators != null) {
      _json["availableAccelerators"] = availableAccelerators;
    }
    if (type != null) {
      _json["type"] = type;
    }
    return _json;
  }
}

/// Returns service account information associated with a project.
class GoogleCloudMlV1GetConfigResponse {
  /// The service account Cloud ML uses to access resources in the project.
  core.String serviceAccount;

  /// The project number for `service_account`.
  core.String serviceAccountProject;

  GoogleCloudMlV1GetConfigResponse();

  GoogleCloudMlV1GetConfigResponse.fromJson(core.Map _json) {
    if (_json.containsKey("serviceAccount")) {
      serviceAccount = _json["serviceAccount"];
    }
    if (_json.containsKey("serviceAccountProject")) {
      serviceAccountProject = _json["serviceAccountProject"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (serviceAccount != null) {
      _json["serviceAccount"] = serviceAccount;
    }
    if (serviceAccountProject != null) {
      _json["serviceAccountProject"] = serviceAccountProject;
    }
    return _json;
  }
}

/// Represents the result of a single hyperparameter tuning trial from a
/// training job. The TrainingOutput object that is returned on successful
/// completion of a training job with hyperparameter tuning includes a list
/// of HyperparameterOutput objects, one for each successful trial.
class GoogleCloudMlV1HyperparameterOutput {
  /// All recorded object metrics for this trial. This field is not currently
  /// populated.
  core.List<GoogleCloudMlV1HyperparameterOutputHyperparameterMetric> allMetrics;

  /// The final objective metric seen for this trial.
  GoogleCloudMlV1HyperparameterOutputHyperparameterMetric finalMetric;

  /// The hyperparameters given to this trial.
  core.Map<core.String, core.String> hyperparameters;

  /// True if the trial is stopped early.
  core.bool isTrialStoppedEarly;

  /// The trial id for these results.
  core.String trialId;

  GoogleCloudMlV1HyperparameterOutput();

  GoogleCloudMlV1HyperparameterOutput.fromJson(core.Map _json) {
    if (_json.containsKey("allMetrics")) {
      allMetrics = _json["allMetrics"]
          .map((value) =>
              new GoogleCloudMlV1HyperparameterOutputHyperparameterMetric
                  .fromJson(value))
          .toList();
    }
    if (_json.containsKey("finalMetric")) {
      finalMetric =
          new GoogleCloudMlV1HyperparameterOutputHyperparameterMetric.fromJson(
              _json["finalMetric"]);
    }
    if (_json.containsKey("hyperparameters")) {
      hyperparameters = _json["hyperparameters"];
    }
    if (_json.containsKey("isTrialStoppedEarly")) {
      isTrialStoppedEarly = _json["isTrialStoppedEarly"];
    }
    if (_json.containsKey("trialId")) {
      trialId = _json["trialId"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (allMetrics != null) {
      _json["allMetrics"] =
          allMetrics.map((value) => (value).toJson()).toList();
    }
    if (finalMetric != null) {
      _json["finalMetric"] = (finalMetric).toJson();
    }
    if (hyperparameters != null) {
      _json["hyperparameters"] = hyperparameters;
    }
    if (isTrialStoppedEarly != null) {
      _json["isTrialStoppedEarly"] = isTrialStoppedEarly;
    }
    if (trialId != null) {
      _json["trialId"] = trialId;
    }
    return _json;
  }
}

/// Represents a set of hyperparameters to optimize.
class GoogleCloudMlV1HyperparameterSpec {
  /// Optional. Indicates if the hyperparameter tuning job enables auto trial
  /// early stopping.
  core.bool enableTrialEarlyStopping;

  /// Required. The type of goal to use for tuning. Available types are
  /// `MAXIMIZE` and `MINIMIZE`.
  ///
  /// Defaults to `MAXIMIZE`.
  /// Possible string values are:
  /// - "GOAL_TYPE_UNSPECIFIED" : Goal Type will default to maximize.
  /// - "MAXIMIZE" : Maximize the goal metric.
  /// - "MINIMIZE" : Minimize the goal metric.
  core.String goal;

  /// Optional. The Tensorflow summary tag name to use for optimizing trials.
  /// For
  /// current versions of Tensorflow, this tag name should exactly match what is
  /// shown in Tensorboard, including all scopes.  For versions of Tensorflow
  /// prior to 0.12, this should be only the tag passed to tf.Summary.
  /// By default, "training/hptuning/metric" will be used.
  core.String hyperparameterMetricTag;

  /// Optional. The number of training trials to run concurrently.
  /// You can reduce the time it takes to perform hyperparameter tuning by
  /// adding
  /// trials in parallel. However, each trail only benefits from the information
  /// gained in completed trials. That means that a trial does not get access to
  /// the results of trials running at the same time, which could reduce the
  /// quality of the overall optimization.
  ///
  /// Each trial will use the same scale tier and machine types.
  ///
  /// Defaults to one.
  core.int maxParallelTrials;

  /// Optional. How many training trials should be attempted to optimize
  /// the specified hyperparameters.
  ///
  /// Defaults to one.
  core.int maxTrials;

  /// Required. The set of parameters to tune.
  core.List<GoogleCloudMlV1ParameterSpec> params;

  /// Optional. The prior hyperparameter tuning job id that users hope to
  /// continue with. The job id will be used to find the corresponding vizier
  /// study guid and resume the study.
  core.String resumePreviousJobId;

  GoogleCloudMlV1HyperparameterSpec();

  GoogleCloudMlV1HyperparameterSpec.fromJson(core.Map _json) {
    if (_json.containsKey("enableTrialEarlyStopping")) {
      enableTrialEarlyStopping = _json["enableTrialEarlyStopping"];
    }
    if (_json.containsKey("goal")) {
      goal = _json["goal"];
    }
    if (_json.containsKey("hyperparameterMetricTag")) {
      hyperparameterMetricTag = _json["hyperparameterMetricTag"];
    }
    if (_json.containsKey("maxParallelTrials")) {
      maxParallelTrials = _json["maxParallelTrials"];
    }
    if (_json.containsKey("maxTrials")) {
      maxTrials = _json["maxTrials"];
    }
    if (_json.containsKey("params")) {
      params = _json["params"]
          .map((value) => new GoogleCloudMlV1ParameterSpec.fromJson(value))
          .toList();
    }
    if (_json.containsKey("resumePreviousJobId")) {
      resumePreviousJobId = _json["resumePreviousJobId"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (enableTrialEarlyStopping != null) {
      _json["enableTrialEarlyStopping"] = enableTrialEarlyStopping;
    }
    if (goal != null) {
      _json["goal"] = goal;
    }
    if (hyperparameterMetricTag != null) {
      _json["hyperparameterMetricTag"] = hyperparameterMetricTag;
    }
    if (maxParallelTrials != null) {
      _json["maxParallelTrials"] = maxParallelTrials;
    }
    if (maxTrials != null) {
      _json["maxTrials"] = maxTrials;
    }
    if (params != null) {
      _json["params"] = params.map((value) => (value).toJson()).toList();
    }
    if (resumePreviousJobId != null) {
      _json["resumePreviousJobId"] = resumePreviousJobId;
    }
    return _json;
  }
}

/// Represents a training or prediction job.
class GoogleCloudMlV1Job {
  /// Output only. When the job was created.
  core.String createTime;

  /// Output only. When the job processing was completed.
  core.String endTime;

  /// Output only. The details of a failure or a cancellation.
  core.String errorMessage;

  /// Required. The user-specified id of the job.
  core.String jobId;

  /// Input parameters to create a prediction job.
  GoogleCloudMlV1PredictionInput predictionInput;

  /// The current prediction job result.
  GoogleCloudMlV1PredictionOutput predictionOutput;

  /// Output only. When the job processing was started.
  core.String startTime;

  /// Output only. The detailed state of a job.
  /// Possible string values are:
  /// - "STATE_UNSPECIFIED" : The job state is unspecified.
  /// - "QUEUED" : The job has been just created and processing has not yet
  /// begun.
  /// - "PREPARING" : The service is preparing to run the job.
  /// - "RUNNING" : The job is in progress.
  /// - "SUCCEEDED" : The job completed successfully.
  /// - "FAILED" : The job failed.
  /// `error_message` should contain the details of the failure.
  /// - "CANCELLING" : The job is being cancelled.
  /// `error_message` should describe the reason for the cancellation.
  /// - "CANCELLED" : The job has been cancelled.
  /// `error_message` should describe the reason for the cancellation.
  core.String state;

  /// Input parameters to create a training job.
  GoogleCloudMlV1TrainingInput trainingInput;

  /// The current training job result.
  GoogleCloudMlV1TrainingOutput trainingOutput;

  GoogleCloudMlV1Job();

  GoogleCloudMlV1Job.fromJson(core.Map _json) {
    if (_json.containsKey("createTime")) {
      createTime = _json["createTime"];
    }
    if (_json.containsKey("endTime")) {
      endTime = _json["endTime"];
    }
    if (_json.containsKey("errorMessage")) {
      errorMessage = _json["errorMessage"];
    }
    if (_json.containsKey("jobId")) {
      jobId = _json["jobId"];
    }
    if (_json.containsKey("predictionInput")) {
      predictionInput =
          new GoogleCloudMlV1PredictionInput.fromJson(_json["predictionInput"]);
    }
    if (_json.containsKey("predictionOutput")) {
      predictionOutput = new GoogleCloudMlV1PredictionOutput.fromJson(
          _json["predictionOutput"]);
    }
    if (_json.containsKey("startTime")) {
      startTime = _json["startTime"];
    }
    if (_json.containsKey("state")) {
      state = _json["state"];
    }
    if (_json.containsKey("trainingInput")) {
      trainingInput =
          new GoogleCloudMlV1TrainingInput.fromJson(_json["trainingInput"]);
    }
    if (_json.containsKey("trainingOutput")) {
      trainingOutput =
          new GoogleCloudMlV1TrainingOutput.fromJson(_json["trainingOutput"]);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (createTime != null) {
      _json["createTime"] = createTime;
    }
    if (endTime != null) {
      _json["endTime"] = endTime;
    }
    if (errorMessage != null) {
      _json["errorMessage"] = errorMessage;
    }
    if (jobId != null) {
      _json["jobId"] = jobId;
    }
    if (predictionInput != null) {
      _json["predictionInput"] = (predictionInput).toJson();
    }
    if (predictionOutput != null) {
      _json["predictionOutput"] = (predictionOutput).toJson();
    }
    if (startTime != null) {
      _json["startTime"] = startTime;
    }
    if (state != null) {
      _json["state"] = state;
    }
    if (trainingInput != null) {
      _json["trainingInput"] = (trainingInput).toJson();
    }
    if (trainingOutput != null) {
      _json["trainingOutput"] = (trainingOutput).toJson();
    }
    return _json;
  }
}

/// Response message for the ListJobs method.
class GoogleCloudMlV1ListJobsResponse {
  /// The list of jobs.
  core.List<GoogleCloudMlV1Job> jobs;

  /// Optional. Pass this token as the `page_token` field of the request for a
  /// subsequent call.
  core.String nextPageToken;

  GoogleCloudMlV1ListJobsResponse();

  GoogleCloudMlV1ListJobsResponse.fromJson(core.Map _json) {
    if (_json.containsKey("jobs")) {
      jobs = _json["jobs"]
          .map((value) => new GoogleCloudMlV1Job.fromJson(value))
          .toList();
    }
    if (_json.containsKey("nextPageToken")) {
      nextPageToken = _json["nextPageToken"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (jobs != null) {
      _json["jobs"] = jobs.map((value) => (value).toJson()).toList();
    }
    if (nextPageToken != null) {
      _json["nextPageToken"] = nextPageToken;
    }
    return _json;
  }
}

class GoogleCloudMlV1ListLocationsResponse {
  /// Locations where at least one type of CMLE capability is available.
  core.List<GoogleCloudMlV1Location> locations;

  /// Optional. Pass this token as the `page_token` field of the request for a
  /// subsequent call.
  core.String nextPageToken;

  GoogleCloudMlV1ListLocationsResponse();

  GoogleCloudMlV1ListLocationsResponse.fromJson(core.Map _json) {
    if (_json.containsKey("locations")) {
      locations = _json["locations"]
          .map((value) => new GoogleCloudMlV1Location.fromJson(value))
          .toList();
    }
    if (_json.containsKey("nextPageToken")) {
      nextPageToken = _json["nextPageToken"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (locations != null) {
      _json["locations"] = locations.map((value) => (value).toJson()).toList();
    }
    if (nextPageToken != null) {
      _json["nextPageToken"] = nextPageToken;
    }
    return _json;
  }
}

/// Response message for the ListModels method.
class GoogleCloudMlV1ListModelsResponse {
  /// The list of models.
  core.List<GoogleCloudMlV1Model> models;

  /// Optional. Pass this token as the `page_token` field of the request for a
  /// subsequent call.
  core.String nextPageToken;

  GoogleCloudMlV1ListModelsResponse();

  GoogleCloudMlV1ListModelsResponse.fromJson(core.Map _json) {
    if (_json.containsKey("models")) {
      models = _json["models"]
          .map((value) => new GoogleCloudMlV1Model.fromJson(value))
          .toList();
    }
    if (_json.containsKey("nextPageToken")) {
      nextPageToken = _json["nextPageToken"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (models != null) {
      _json["models"] = models.map((value) => (value).toJson()).toList();
    }
    if (nextPageToken != null) {
      _json["nextPageToken"] = nextPageToken;
    }
    return _json;
  }
}

/// Response message for the ListVersions method.
class GoogleCloudMlV1ListVersionsResponse {
  /// Optional. Pass this token as the `page_token` field of the request for a
  /// subsequent call.
  core.String nextPageToken;

  /// The list of versions.
  core.List<GoogleCloudMlV1Version> versions;

  GoogleCloudMlV1ListVersionsResponse();

  GoogleCloudMlV1ListVersionsResponse.fromJson(core.Map _json) {
    if (_json.containsKey("nextPageToken")) {
      nextPageToken = _json["nextPageToken"];
    }
    if (_json.containsKey("versions")) {
      versions = _json["versions"]
          .map((value) => new GoogleCloudMlV1Version.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (nextPageToken != null) {
      _json["nextPageToken"] = nextPageToken;
    }
    if (versions != null) {
      _json["versions"] = versions.map((value) => (value).toJson()).toList();
    }
    return _json;
  }
}

class GoogleCloudMlV1Location {
  /// Capabilities available in the location.
  core.List<GoogleCloudMlV1Capability> capabilities;
  core.String name;

  GoogleCloudMlV1Location();

  GoogleCloudMlV1Location.fromJson(core.Map _json) {
    if (_json.containsKey("capabilities")) {
      capabilities = _json["capabilities"]
          .map((value) => new GoogleCloudMlV1Capability.fromJson(value))
          .toList();
    }
    if (_json.containsKey("name")) {
      name = _json["name"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (capabilities != null) {
      _json["capabilities"] =
          capabilities.map((value) => (value).toJson()).toList();
    }
    if (name != null) {
      _json["name"] = name;
    }
    return _json;
  }
}

/// Options for manually scaling a model.
class GoogleCloudMlV1ManualScaling {
  /// The number of nodes to allocate for this model. These nodes are always up,
  /// starting from the time the model is deployed, so the cost of operating
  /// this model will be proportional to `nodes` * number of hours since
  /// last billing cycle plus the cost for each prediction performed.
  core.int nodes;

  GoogleCloudMlV1ManualScaling();

  GoogleCloudMlV1ManualScaling.fromJson(core.Map _json) {
    if (_json.containsKey("nodes")) {
      nodes = _json["nodes"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (nodes != null) {
      _json["nodes"] = nodes;
    }
    return _json;
  }
}

/// Represents a machine learning solution.
///
/// A model can have multiple versions, each of which is a deployed, trained
/// model ready to receive prediction requests. The model itself is just a
/// container.
class GoogleCloudMlV1Model {
  /// Output only. The default version of the model. This version will be used
  /// to
  /// handle prediction requests that do not specify a version.
  ///
  /// You can change the default version by calling
  /// [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
  GoogleCloudMlV1Version defaultVersion;

  /// Optional. The description specified for the model when it was created.
  core.String description;

  /// Required. The name specified for the model when it was created.
  ///
  /// The model name must be unique within the project it is created in.
  core.String name;

  /// Optional. If true, enables StackDriver Logging for online prediction.
  /// Default is false.
  core.bool onlinePredictionLogging;

  /// Optional. The list of regions where the model is going to be deployed.
  /// Currently only one region per model is supported.
  /// Defaults to 'us-central1' if nothing is set.
  /// See the <a href="/ml-engine/docs/regions">available regions</a> for
  /// ML Engine services.
  /// Note:
  /// *   No matter where a model is deployed, it can always be accessed by
  ///     users from anywhere, both for online and batch prediction.
  /// *   The region for a batch prediction job is set by the region field when
  ///     submitting the batch prediction job and does not take its value from
  ///     this field.
  core.List<core.String> regions;

  GoogleCloudMlV1Model();

  GoogleCloudMlV1Model.fromJson(core.Map _json) {
    if (_json.containsKey("defaultVersion")) {
      defaultVersion =
          new GoogleCloudMlV1Version.fromJson(_json["defaultVersion"]);
    }
    if (_json.containsKey("description")) {
      description = _json["description"];
    }
    if (_json.containsKey("name")) {
      name = _json["name"];
    }
    if (_json.containsKey("onlinePredictionLogging")) {
      onlinePredictionLogging = _json["onlinePredictionLogging"];
    }
    if (_json.containsKey("regions")) {
      regions = _json["regions"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (defaultVersion != null) {
      _json["defaultVersion"] = (defaultVersion).toJson();
    }
    if (description != null) {
      _json["description"] = description;
    }
    if (name != null) {
      _json["name"] = name;
    }
    if (onlinePredictionLogging != null) {
      _json["onlinePredictionLogging"] = onlinePredictionLogging;
    }
    if (regions != null) {
      _json["regions"] = regions;
    }
    return _json;
  }
}

/// Represents the metadata of the long-running operation.
class GoogleCloudMlV1OperationMetadata {
  /// The time the operation was submitted.
  core.String createTime;

  /// The time operation processing completed.
  core.String endTime;

  /// Indicates whether a request to cancel this operation has been made.
  core.bool isCancellationRequested;

  /// Contains the name of the model associated with the operation.
  core.String modelName;

  /// The operation type.
  /// Possible string values are:
  /// - "OPERATION_TYPE_UNSPECIFIED" : Unspecified operation type.
  /// - "CREATE_VERSION" : An operation to create a new version.
  /// - "DELETE_VERSION" : An operation to delete an existing version.
  /// - "DELETE_MODEL" : An operation to delete an existing model.
  /// - "UPDATE_MODEL" : An operation to update an existing model.
  /// - "UPDATE_VERSION" : An operation to update an existing version.
  /// - "UPDATE_CONFIG" : An operation to update project configuration.
  core.String operationType;

  /// Contains the project number associated with the operation.
  core.String projectNumber;

  /// The time operation processing started.
  core.String startTime;

  /// Contains the version associated with the operation.
  GoogleCloudMlV1Version version;

  GoogleCloudMlV1OperationMetadata();

  GoogleCloudMlV1OperationMetadata.fromJson(core.Map _json) {
    if (_json.containsKey("createTime")) {
      createTime = _json["createTime"];
    }
    if (_json.containsKey("endTime")) {
      endTime = _json["endTime"];
    }
    if (_json.containsKey("isCancellationRequested")) {
      isCancellationRequested = _json["isCancellationRequested"];
    }
    if (_json.containsKey("modelName")) {
      modelName = _json["modelName"];
    }
    if (_json.containsKey("operationType")) {
      operationType = _json["operationType"];
    }
    if (_json.containsKey("projectNumber")) {
      projectNumber = _json["projectNumber"];
    }
    if (_json.containsKey("startTime")) {
      startTime = _json["startTime"];
    }
    if (_json.containsKey("version")) {
      version = new GoogleCloudMlV1Version.fromJson(_json["version"]);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (createTime != null) {
      _json["createTime"] = createTime;
    }
    if (endTime != null) {
      _json["endTime"] = endTime;
    }
    if (isCancellationRequested != null) {
      _json["isCancellationRequested"] = isCancellationRequested;
    }
    if (modelName != null) {
      _json["modelName"] = modelName;
    }
    if (operationType != null) {
      _json["operationType"] = operationType;
    }
    if (projectNumber != null) {
      _json["projectNumber"] = projectNumber;
    }
    if (startTime != null) {
      _json["startTime"] = startTime;
    }
    if (version != null) {
      _json["version"] = (version).toJson();
    }
    return _json;
  }
}

/// Represents a single hyperparameter to optimize.
class GoogleCloudMlV1ParameterSpec {
  /// Required if type is `CATEGORICAL`. The list of possible categories.
  core.List<core.String> categoricalValues;

  /// Required if type is `DISCRETE`.
  /// A list of feasible points.
  /// The list should be in strictly increasing order. For instance, this
  /// parameter might have possible settings of 1.5, 2.5, and 4.0. This list
  /// should not contain more than 1,000 values.
  core.List<core.double> discreteValues;

  /// Required if typeis `DOUBLE` or `INTEGER`. This field
  /// should be unset if type is `CATEGORICAL`. This value should be integers if
  /// type is `INTEGER`.
  core.double maxValue;

  /// Required if type is `DOUBLE` or `INTEGER`. This field
  /// should be unset if type is `CATEGORICAL`. This value should be integers if
  /// type is INTEGER.
  core.double minValue;

  /// Required. The parameter name must be unique amongst all ParameterConfigs
  /// in
  /// a HyperparameterSpec message. E.g., "learning_rate".
  core.String parameterName;

  /// Optional. How the parameter should be scaled to the hypercube.
  /// Leave unset for categorical parameters.
  /// Some kind of scaling is strongly recommended for real or integral
  /// parameters (e.g., `UNIT_LINEAR_SCALE`).
  /// Possible string values are:
  /// - "NONE" : By default, no scaling is applied.
  /// - "UNIT_LINEAR_SCALE" : Scales the feasible space to (0, 1) linearly.
  /// - "UNIT_LOG_SCALE" : Scales the feasible space logarithmically to (0, 1).
  /// The entire feasible
  /// space must be strictly positive.
  /// - "UNIT_REVERSE_LOG_SCALE" : Scales the feasible space "reverse"
  /// logarithmically to (0, 1). The result
  /// is that values close to the top of the feasible space are spread out more
  /// than points near the bottom. The entire feasible space must be strictly
  /// positive.
  core.String scaleType;

  /// Required. The type of the parameter.
  /// Possible string values are:
  /// - "PARAMETER_TYPE_UNSPECIFIED" : You must specify a valid type. Using this
  /// unspecified type will result in
  /// an error.
  /// - "DOUBLE" : Type for real-valued parameters.
  /// - "INTEGER" : Type for integral parameters.
  /// - "CATEGORICAL" : The parameter is categorical, with a value chosen from
  /// the categories
  /// field.
  /// - "DISCRETE" : The parameter is real valued, with a fixed set of feasible
  /// points. If
  /// `type==DISCRETE`, feasible_points must be provided, and
  /// {`min_value`, `max_value`} will be ignored.
  core.String type;

  GoogleCloudMlV1ParameterSpec();

  GoogleCloudMlV1ParameterSpec.fromJson(core.Map _json) {
    if (_json.containsKey("categoricalValues")) {
      categoricalValues = _json["categoricalValues"];
    }
    if (_json.containsKey("discreteValues")) {
      discreteValues = _json["discreteValues"];
    }
    if (_json.containsKey("maxValue")) {
      maxValue = _json["maxValue"];
    }
    if (_json.containsKey("minValue")) {
      minValue = _json["minValue"];
    }
    if (_json.containsKey("parameterName")) {
      parameterName = _json["parameterName"];
    }
    if (_json.containsKey("scaleType")) {
      scaleType = _json["scaleType"];
    }
    if (_json.containsKey("type")) {
      type = _json["type"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (categoricalValues != null) {
      _json["categoricalValues"] = categoricalValues;
    }
    if (discreteValues != null) {
      _json["discreteValues"] = discreteValues;
    }
    if (maxValue != null) {
      _json["maxValue"] = maxValue;
    }
    if (minValue != null) {
      _json["minValue"] = minValue;
    }
    if (parameterName != null) {
      _json["parameterName"] = parameterName;
    }
    if (scaleType != null) {
      _json["scaleType"] = scaleType;
    }
    if (type != null) {
      _json["type"] = type;
    }
    return _json;
  }
}

/// Request for predictions to be issued against a trained model.
class GoogleCloudMlV1PredictRequest {
  ///
  /// Required. The prediction request body.
  GoogleApiHttpBody httpBody;

  GoogleCloudMlV1PredictRequest();

  GoogleCloudMlV1PredictRequest.fromJson(core.Map _json) {
    if (_json.containsKey("httpBody")) {
      httpBody = new GoogleApiHttpBody.fromJson(_json["httpBody"]);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (httpBody != null) {
      _json["httpBody"] = (httpBody).toJson();
    }
    return _json;
  }
}

/// Represents input parameters for a prediction job.
class GoogleCloudMlV1PredictionInput {
  /// Optional. Number of records per batch, defaults to 64.
  /// The service will buffer batch_size number of records in memory before
  /// invoking one Tensorflow prediction call internally. So take the record
  /// size and memory available into consideration when setting this parameter.
  core.String batchSize;

  /// Required. The format of the input data files.
  /// Possible string values are:
  /// - "DATA_FORMAT_UNSPECIFIED" : Unspecified format.
  /// - "JSON" : Each line of the file is a JSON dictionary representing one
  /// record.
  /// - "TEXT" : Deprecated. Use JSON instead.
  /// - "TF_RECORD" : INPUT ONLY. The source file is a TFRecord file.
  /// - "TF_RECORD_GZIP" : INPUT ONLY. The source file is a GZIP-compressed
  /// TFRecord file.
  core.String dataFormat;

  /// Required. The Google Cloud Storage location of the input data files.
  /// May contain wildcards.
  core.List<core.String> inputPaths;

  /// Optional. The maximum number of workers to be used for parallel
  /// processing.
  /// Defaults to 10 if not specified.
  core.String maxWorkerCount;

  /// Use this field if you want to use the default version for the specified
  /// model. The string must use the following format:
  ///
  /// `"projects/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
  core.String modelName;

  /// Required. The output Google Cloud Storage location.
  core.String outputPath;

  /// Required. The Google Compute Engine region to run the prediction job in.
  /// See the <a href="/ml-engine/docs/regions">available regions</a> for
  /// ML Engine services.
  core.String region;

  /// Optional. The Google Cloud ML runtime version to use for this batch
  /// prediction. If not set, Google Cloud ML will pick the runtime version used
  /// during the CreateVersion request for this model version, or choose the
  /// latest stable version when model version information is not available
  /// such as when the model is specified by uri.
  core.String runtimeVersion;

  /// Optional. The name of the signature defined in the SavedModel to use for
  /// this job. Please refer to
  /// [SavedModel](https://tensorflow.github.io/serving/serving_basic.html)
  /// for information about how to use signatures.
  ///
  /// Defaults to
  /// [DEFAULT_SERVING_SIGNATURE_DEF_KEY](https://www.tensorflow.org/api_docs/python/tf/saved_model/signature_constants)
  /// , which is "serving_default".
  core.String signatureName;

  /// Use this field if you want to specify a Google Cloud Storage path for
  /// the model to use.
  core.String uri;

  /// Use this field if you want to specify a version of the model to use. The
  /// string is formatted the same way as `model_version`, with the addition
  /// of the version information:
  ///
  /// `"projects/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
  core.String versionName;

  GoogleCloudMlV1PredictionInput();

  GoogleCloudMlV1PredictionInput.fromJson(core.Map _json) {
    if (_json.containsKey("batchSize")) {
      batchSize = _json["batchSize"];
    }
    if (_json.containsKey("dataFormat")) {
      dataFormat = _json["dataFormat"];
    }
    if (_json.containsKey("inputPaths")) {
      inputPaths = _json["inputPaths"];
    }
    if (_json.containsKey("maxWorkerCount")) {
      maxWorkerCount = _json["maxWorkerCount"];
    }
    if (_json.containsKey("modelName")) {
      modelName = _json["modelName"];
    }
    if (_json.containsKey("outputPath")) {
      outputPath = _json["outputPath"];
    }
    if (_json.containsKey("region")) {
      region = _json["region"];
    }
    if (_json.containsKey("runtimeVersion")) {
      runtimeVersion = _json["runtimeVersion"];
    }
    if (_json.containsKey("signatureName")) {
      signatureName = _json["signatureName"];
    }
    if (_json.containsKey("uri")) {
      uri = _json["uri"];
    }
    if (_json.containsKey("versionName")) {
      versionName = _json["versionName"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (batchSize != null) {
      _json["batchSize"] = batchSize;
    }
    if (dataFormat != null) {
      _json["dataFormat"] = dataFormat;
    }
    if (inputPaths != null) {
      _json["inputPaths"] = inputPaths;
    }
    if (maxWorkerCount != null) {
      _json["maxWorkerCount"] = maxWorkerCount;
    }
    if (modelName != null) {
      _json["modelName"] = modelName;
    }
    if (outputPath != null) {
      _json["outputPath"] = outputPath;
    }
    if (region != null) {
      _json["region"] = region;
    }
    if (runtimeVersion != null) {
      _json["runtimeVersion"] = runtimeVersion;
    }
    if (signatureName != null) {
      _json["signatureName"] = signatureName;
    }
    if (uri != null) {
      _json["uri"] = uri;
    }
    if (versionName != null) {
      _json["versionName"] = versionName;
    }
    return _json;
  }
}

/// Represents results of a prediction job.
class GoogleCloudMlV1PredictionOutput {
  /// The number of data instances which resulted in errors.
  core.String errorCount;

  /// Node hours used by the batch prediction job.
  core.double nodeHours;

  /// The output Google Cloud Storage location provided at the job creation
  /// time.
  core.String outputPath;

  /// The number of generated predictions.
  core.String predictionCount;

  GoogleCloudMlV1PredictionOutput();

  GoogleCloudMlV1PredictionOutput.fromJson(core.Map _json) {
    if (_json.containsKey("errorCount")) {
      errorCount = _json["errorCount"];
    }
    if (_json.containsKey("nodeHours")) {
      nodeHours = _json["nodeHours"];
    }
    if (_json.containsKey("outputPath")) {
      outputPath = _json["outputPath"];
    }
    if (_json.containsKey("predictionCount")) {
      predictionCount = _json["predictionCount"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (errorCount != null) {
      _json["errorCount"] = errorCount;
    }
    if (nodeHours != null) {
      _json["nodeHours"] = nodeHours;
    }
    if (outputPath != null) {
      _json["outputPath"] = outputPath;
    }
    if (predictionCount != null) {
      _json["predictionCount"] = predictionCount;
    }
    return _json;
  }
}

/// Request message for the SetDefaultVersion request.
class GoogleCloudMlV1SetDefaultVersionRequest {
  GoogleCloudMlV1SetDefaultVersionRequest();

  GoogleCloudMlV1SetDefaultVersionRequest.fromJson(core.Map _json) {}

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    return _json;
  }
}

/// Represents input parameters for a training job. When using the
/// gcloud command to submit your training job, you can specify
/// the input parameters as command-line arguments and/or in a YAML
/// configuration
/// file referenced from the --config command-line argument. For
/// details, see the guide to
/// <a href="/ml-engine/docs/training-jobs">submitting a training job</a>.
class GoogleCloudMlV1TrainingInput {
  /// Optional. Command line arguments to pass to the program.
  core.List<core.String> args;

  /// Optional. The set of Hyperparameters to tune.
  GoogleCloudMlV1HyperparameterSpec hyperparameters;

  /// Optional. A Google Cloud Storage path in which to store training outputs
  /// and other data needed for training. This path is passed to your TensorFlow
  /// program as the 'job_dir' command-line argument. The benefit of specifying
  /// this field is that Cloud ML validates the path for use in training.
  core.String jobDir;

  /// Optional. Specifies the type of virtual machine to use for your training
  /// job's master worker.
  ///
  /// The following types are supported:
  ///
  /// <dl>
  ///   <dt>standard</dt>
  ///   <dd>
  ///   A basic machine configuration suitable for training simple models with
  ///   small to moderate datasets.
  ///   </dd>
  ///   <dt>large_model</dt>
  ///   <dd>
  ///   A machine with a lot of memory, specially suited for parameter servers
  ///   when your model is large (having many hidden layers or layers with very
  ///   large numbers of nodes).
  ///   </dd>
  ///   <dt>complex_model_s</dt>
  ///   <dd>
  ///   A machine suitable for the master and workers of the cluster when your
  ///   model requires more computation than the standard machine can handle
  ///   satisfactorily.
  ///   </dd>
  ///   <dt>complex_model_m</dt>
  ///   <dd>
  ///   A machine with roughly twice the number of cores and roughly double the
  ///   memory of <code suppresswarning="true">complex_model_s</code>.
  ///   </dd>
  ///   <dt>complex_model_l</dt>
  ///   <dd>
  ///   A machine with roughly twice the number of cores and roughly double the
  ///   memory of <code suppresswarning="true">complex_model_m</code>.
  ///   </dd>
  ///   <dt>standard_gpu</dt>
  ///   <dd>
  /// A machine equivalent to <code suppresswarning="true">standard</code> that
  ///   also includes a single NVIDIA Tesla K80 GPU. See more about
  ///   <a href="/ml-engine/docs/how-tos/using-gpus">
  ///   using GPUs for training your model</a>.
  ///   </dd>
  ///   <dt>complex_model_m_gpu</dt>
  ///   <dd>
  ///   A machine equivalent to
  ///   <code suppresswarning="true">complex_model_m</code> that also includes
  ///   four NVIDIA Tesla K80 GPUs.
  ///   </dd>
  ///   <dt>complex_model_l_gpu</dt>
  ///   <dd>
  ///   A machine equivalent to
  ///   <code suppresswarning="true">complex_model_l</code> that also includes
  ///   eight NVIDIA Tesla K80 GPUs.
  ///   </dd>
  ///   <dt>standard_p100</dt>
  ///   <dd>
  /// A machine equivalent to <code suppresswarning="true">standard</code> that
  ///   also includes a single NVIDIA Tesla P100 GPU. The availability of these
  ///   GPUs is in the Beta launch stage.
  ///   </dd>
  ///   <dt>complex_model_m_p100</dt>
  ///   <dd>
  ///   A machine equivalent to
  ///   <code suppresswarning="true">complex_model_m</code> that also includes
  ///   four NVIDIA Tesla P100 GPUs. The availability of these GPUs is in
  ///   the Beta launch stage.
  ///   </dd>
  /// </dl>
  ///
  /// You must set this value when `scaleTier` is set to `CUSTOM`.
  core.String masterType;

  /// Required. The Google Cloud Storage location of the packages with
  /// the training program and any additional dependencies.
  /// The maximum number of package URIs is 100.
  core.List<core.String> packageUris;

  /// Optional. The number of parameter server replicas to use for the training
  /// job. Each replica in the cluster will be of the type specified in
  /// `parameter_server_type`.
  ///
  /// This value can only be used when `scale_tier` is set to `CUSTOM`.If you
  /// set this value, you must also set `parameter_server_type`.
  core.String parameterServerCount;

  /// Optional. Specifies the type of virtual machine to use for your training
  /// job's parameter server.
  ///
  /// The supported values are the same as those described in the entry for
  /// `master_type`.
  ///
  /// This value must be present when `scaleTier` is set to `CUSTOM` and
  /// `parameter_server_count` is greater than zero.
  core.String parameterServerType;

  /// Required. The Python module name to run after installing the packages.
  core.String pythonModule;

  /// Optional. The version of Python used in training. If not set, the default
  /// version is '2.7'. Python '3.5' is available when `runtime_version` is set
  /// to '1.4' and above. Python '2.7' works with all supported runtime
  /// versions.
  core.String pythonVersion;

  /// Required. The Google Compute Engine region to run the training job in.
  /// See the <a href="/ml-engine/docs/regions">available regions</a> for
  /// ML Engine services.
  core.String region;

  /// Optional. The Google Cloud ML runtime version to use for training.  If not
  /// set, Google Cloud ML will choose the latest stable version.
  core.String runtimeVersion;

  /// Required. Specifies the machine types, the number of replicas for workers
  /// and parameter servers.
  /// Possible string values are:
  /// - "BASIC" : A single worker instance. This tier is suitable for learning
  /// how to use
  /// Cloud ML, and for experimenting with new models using small datasets.
  /// - "STANDARD_1" : Many workers and a few parameter servers.
  /// - "PREMIUM_1" : A large number of workers with many parameter servers.
  /// - "BASIC_GPU" : A single worker instance [with a
  /// GPU](/ml-engine/docs/how-tos/using-gpus).
  /// - "BASIC_TPU" : A single worker instance with a [Cloud TPU](/tpu)
  /// - "CUSTOM" : The CUSTOM tier is not a set tier, but rather enables you to
  /// use your
  /// own cluster specification. When you use this tier, set values to
  /// configure your processing cluster according to these guidelines:
  ///
  /// *   You _must_ set `TrainingInput.masterType` to specify the type
  ///     of machine to use for your master node. This is the only required
  ///     setting.
  ///
  /// *   You _may_ set `TrainingInput.workerCount` to specify the number of
  ///     workers to use. If you specify one or more workers, you _must_ also
  ///     set `TrainingInput.workerType` to specify the type of machine to use
  ///     for your worker nodes.
  ///
  /// *   You _may_ set `TrainingInput.parameterServerCount` to specify the
  ///     number of parameter servers to use. If you specify one or more
  ///     parameter servers, you _must_ also set
  ///     `TrainingInput.parameterServerType` to specify the type of machine to
  ///     use for your parameter servers.
  ///
  /// Note that all of your workers must use the same machine type, which can
  /// be different from your parameter server type and master type. Your
  /// parameter servers must likewise use the same machine type, which can be
  /// different from your worker type and master type.
  core.String scaleTier;

  /// Optional. The number of worker replicas to use for the training job. Each
  /// replica in the cluster will be of the type specified in `worker_type`.
  ///
  /// This value can only be used when `scale_tier` is set to `CUSTOM`. If you
  /// set this value, you must also set `worker_type`.
  core.String workerCount;

  /// Optional. Specifies the type of virtual machine to use for your training
  /// job's worker nodes.
  ///
  /// The supported values are the same as those described in the entry for
  /// `masterType`.
  ///
  /// This value must be present when `scaleTier` is set to `CUSTOM` and
  /// `workerCount` is greater than zero.
  core.String workerType;

  GoogleCloudMlV1TrainingInput();

  GoogleCloudMlV1TrainingInput.fromJson(core.Map _json) {
    if (_json.containsKey("args")) {
      args = _json["args"];
    }
    if (_json.containsKey("hyperparameters")) {
      hyperparameters = new GoogleCloudMlV1HyperparameterSpec.fromJson(
          _json["hyperparameters"]);
    }
    if (_json.containsKey("jobDir")) {
      jobDir = _json["jobDir"];
    }
    if (_json.containsKey("masterType")) {
      masterType = _json["masterType"];
    }
    if (_json.containsKey("packageUris")) {
      packageUris = _json["packageUris"];
    }
    if (_json.containsKey("parameterServerCount")) {
      parameterServerCount = _json["parameterServerCount"];
    }
    if (_json.containsKey("parameterServerType")) {
      parameterServerType = _json["parameterServerType"];
    }
    if (_json.containsKey("pythonModule")) {
      pythonModule = _json["pythonModule"];
    }
    if (_json.containsKey("pythonVersion")) {
      pythonVersion = _json["pythonVersion"];
    }
    if (_json.containsKey("region")) {
      region = _json["region"];
    }
    if (_json.containsKey("runtimeVersion")) {
      runtimeVersion = _json["runtimeVersion"];
    }
    if (_json.containsKey("scaleTier")) {
      scaleTier = _json["scaleTier"];
    }
    if (_json.containsKey("workerCount")) {
      workerCount = _json["workerCount"];
    }
    if (_json.containsKey("workerType")) {
      workerType = _json["workerType"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (args != null) {
      _json["args"] = args;
    }
    if (hyperparameters != null) {
      _json["hyperparameters"] = (hyperparameters).toJson();
    }
    if (jobDir != null) {
      _json["jobDir"] = jobDir;
    }
    if (masterType != null) {
      _json["masterType"] = masterType;
    }
    if (packageUris != null) {
      _json["packageUris"] = packageUris;
    }
    if (parameterServerCount != null) {
      _json["parameterServerCount"] = parameterServerCount;
    }
    if (parameterServerType != null) {
      _json["parameterServerType"] = parameterServerType;
    }
    if (pythonModule != null) {
      _json["pythonModule"] = pythonModule;
    }
    if (pythonVersion != null) {
      _json["pythonVersion"] = pythonVersion;
    }
    if (region != null) {
      _json["region"] = region;
    }
    if (runtimeVersion != null) {
      _json["runtimeVersion"] = runtimeVersion;
    }
    if (scaleTier != null) {
      _json["scaleTier"] = scaleTier;
    }
    if (workerCount != null) {
      _json["workerCount"] = workerCount;
    }
    if (workerType != null) {
      _json["workerType"] = workerType;
    }
    return _json;
  }
}

/// Represents results of a training job. Output only.
class GoogleCloudMlV1TrainingOutput {
  /// The number of hyperparameter tuning trials that completed successfully.
  /// Only set for hyperparameter tuning jobs.
  core.String completedTrialCount;

  /// The amount of ML units consumed by the job.
  core.double consumedMLUnits;

  /// Whether this job is a hyperparameter tuning job.
  core.bool isHyperparameterTuningJob;

  /// Results for individual Hyperparameter trials.
  /// Only set for hyperparameter tuning jobs.
  core.List<GoogleCloudMlV1HyperparameterOutput> trials;

  GoogleCloudMlV1TrainingOutput();

  GoogleCloudMlV1TrainingOutput.fromJson(core.Map _json) {
    if (_json.containsKey("completedTrialCount")) {
      completedTrialCount = _json["completedTrialCount"];
    }
    if (_json.containsKey("consumedMLUnits")) {
      consumedMLUnits = _json["consumedMLUnits"];
    }
    if (_json.containsKey("isHyperparameterTuningJob")) {
      isHyperparameterTuningJob = _json["isHyperparameterTuningJob"];
    }
    if (_json.containsKey("trials")) {
      trials = _json["trials"]
          .map((value) =>
              new GoogleCloudMlV1HyperparameterOutput.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (completedTrialCount != null) {
      _json["completedTrialCount"] = completedTrialCount;
    }
    if (consumedMLUnits != null) {
      _json["consumedMLUnits"] = consumedMLUnits;
    }
    if (isHyperparameterTuningJob != null) {
      _json["isHyperparameterTuningJob"] = isHyperparameterTuningJob;
    }
    if (trials != null) {
      _json["trials"] = trials.map((value) => (value).toJson()).toList();
    }
    return _json;
  }
}

/// Represents a version of the model.
///
/// Each version is a trained model deployed in the cloud, ready to handle
/// prediction requests. A model can have multiple versions. You can get
/// information about all of the versions of a given model by calling
/// [projects.models.versions.list](/ml-engine/reference/rest/v1/projects.models.versions/list).
///
/// LINT.IfChange
class GoogleCloudMlV1Version {
  /// Automatically scale the number of nodes used to serve the model in
  /// response to increases and decreases in traffic. Care should be
  /// taken to ramp up traffic according to the model's ability to scale
  /// or you will start seeing increases in latency and 429 response codes.
  GoogleCloudMlV1AutoScaling autoScaling;

  /// Output only. The time the version was created.
  core.String createTime;

  /// Required. The Google Cloud Storage location of the trained model used to
  /// create the version. See the
  /// [overview of model
  /// deployment](/ml-engine/docs/concepts/deployment-overview) for more
  /// information.
  ///
  /// When passing Version to
  /// [projects.models.versions.create](/ml-engine/reference/rest/v1/projects.models.versions/create)
  /// the model service uses the specified location as the source of the model.
  /// Once deployed, the model version is hosted by the prediction service, so
  /// this location is useful only as a historical record.
  /// The total number of model files can't exceed 1000.
  core.String deploymentUri;

  /// Optional. The description specified for the version when it was created.
  core.String description;

  /// Output only. The details of a failure or a cancellation.
  core.String errorMessage;

  /// Output only. If true, this version will be used to handle prediction
  /// requests that do not specify a version.
  ///
  /// You can change the default version by calling
  /// [projects.methods.versions.setDefault](/ml-engine/reference/rest/v1/projects.models.versions/setDefault).
  core.bool isDefault;

  /// Output only. The time the version was last used for prediction.
  core.String lastUseTime;

  /// Manually select the number of nodes to use for serving the
  /// model. You should generally use `auto_scaling` with an appropriate
  /// `min_nodes` instead, but this option is available if you want more
  /// predictable billing. Beware that latency and error rates will increase
  /// if the traffic exceeds that capability of the system to serve it based
  /// on the selected number of nodes.
  GoogleCloudMlV1ManualScaling manualScaling;

  /// Required.The name specified for the version when it was created.
  ///
  /// The version name must be unique within the model it is created in.
  core.String name;

  /// Optional. The Google Cloud ML runtime version to use for this deployment.
  /// If not set, Google Cloud ML will choose a version.
  core.String runtimeVersion;

  /// Output only. The state of a version.
  /// Possible string values are:
  /// - "UNKNOWN" : The version state is unspecified.
  /// - "READY" : The version is ready for prediction.
  /// - "CREATING" : The version is being created. New UpdateVersion and
  /// DeleteVersion
  /// requests will fail if a version is in the CREATING state.
  /// - "FAILED" : The version failed to be created, possibly cancelled.
  /// `error_message` should contain the details of the failure.
  /// - "DELETING" : The version is being deleted. New UpdateVersion and
  /// DeleteVersion
  /// requests will fail if a version is in the DELETING state.
  /// - "UPDATING" : The version is being updated. New UpdateVersion and
  /// DeleteVersion
  /// requests will fail if a version is in the UPDATING state.
  core.String state;

  GoogleCloudMlV1Version();

  GoogleCloudMlV1Version.fromJson(core.Map _json) {
    if (_json.containsKey("autoScaling")) {
      autoScaling =
          new GoogleCloudMlV1AutoScaling.fromJson(_json["autoScaling"]);
    }
    if (_json.containsKey("createTime")) {
      createTime = _json["createTime"];
    }
    if (_json.containsKey("deploymentUri")) {
      deploymentUri = _json["deploymentUri"];
    }
    if (_json.containsKey("description")) {
      description = _json["description"];
    }
    if (_json.containsKey("errorMessage")) {
      errorMessage = _json["errorMessage"];
    }
    if (_json.containsKey("isDefault")) {
      isDefault = _json["isDefault"];
    }
    if (_json.containsKey("lastUseTime")) {
      lastUseTime = _json["lastUseTime"];
    }
    if (_json.containsKey("manualScaling")) {
      manualScaling =
          new GoogleCloudMlV1ManualScaling.fromJson(_json["manualScaling"]);
    }
    if (_json.containsKey("name")) {
      name = _json["name"];
    }
    if (_json.containsKey("runtimeVersion")) {
      runtimeVersion = _json["runtimeVersion"];
    }
    if (_json.containsKey("state")) {
      state = _json["state"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (autoScaling != null) {
      _json["autoScaling"] = (autoScaling).toJson();
    }
    if (createTime != null) {
      _json["createTime"] = createTime;
    }
    if (deploymentUri != null) {
      _json["deploymentUri"] = deploymentUri;
    }
    if (description != null) {
      _json["description"] = description;
    }
    if (errorMessage != null) {
      _json["errorMessage"] = errorMessage;
    }
    if (isDefault != null) {
      _json["isDefault"] = isDefault;
    }
    if (lastUseTime != null) {
      _json["lastUseTime"] = lastUseTime;
    }
    if (manualScaling != null) {
      _json["manualScaling"] = (manualScaling).toJson();
    }
    if (name != null) {
      _json["name"] = name;
    }
    if (runtimeVersion != null) {
      _json["runtimeVersion"] = runtimeVersion;
    }
    if (state != null) {
      _json["state"] = state;
    }
    return _json;
  }
}

/// Associates `members` with a `role`.
class GoogleIamV1Binding {
  /// Specifies the identities requesting access for a Cloud Platform resource.
  /// `members` can have the following values:
  ///
  /// * `allUsers`: A special identifier that represents anyone who is
  ///    on the internet; with or without a Google account.
  ///
  /// * `allAuthenticatedUsers`: A special identifier that represents anyone
  ///    who is authenticated with a Google account or a service account.
  ///
  /// * `user:{emailid}`: An email address that represents a specific Google
  ///    account. For example, `alice@gmail.com` or `joe@example.com`.
  ///
  ///
  /// * `serviceAccount:{emailid}`: An email address that represents a service
  ///    account. For example, `my-other-app@appspot.gserviceaccount.com`.
  ///
  /// * `group:{emailid}`: An email address that represents a Google group.
  ///    For example, `admins@example.com`.
  ///
  ///
  /// * `domain:{domain}`: A Google Apps domain name that represents all the
  ///    users of that domain. For example, `google.com` or `example.com`.
  core.List<core.String> members;

  /// Role that is assigned to `members`.
  /// For example, `roles/viewer`, `roles/editor`, or `roles/owner`.
  /// Required
  core.String role;

  GoogleIamV1Binding();

  GoogleIamV1Binding.fromJson(core.Map _json) {
    if (_json.containsKey("members")) {
      members = _json["members"];
    }
    if (_json.containsKey("role")) {
      role = _json["role"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (members != null) {
      _json["members"] = members;
    }
    if (role != null) {
      _json["role"] = role;
    }
    return _json;
  }
}

/// Defines an Identity and Access Management (IAM) policy. It is used to
/// specify access control policies for Cloud Platform resources.
///
///
/// A `Policy` consists of a list of `bindings`. A `Binding` binds a list of
/// `members` to a `role`, where the members can be user accounts, Google
/// groups,
/// Google domains, and service accounts. A `role` is a named list of
/// permissions
/// defined by IAM.
///
/// **Example**
///
///     {
///       "bindings": [
///         {
///           "role": "roles/owner",
///           "members": [
///             "user:mike@example.com",
///             "group:admins@example.com",
///             "domain:google.com",
///             "serviceAccount:my-other-app@appspot.gserviceaccount.com",
///           ]
///         },
///         {
///           "role": "roles/viewer",
///           "members": ["user:sean@example.com"]
///         }
///       ]
///     }
///
/// For a description of IAM and its features, see the
/// [IAM developer's guide](https://cloud.google.com/iam/docs).
class GoogleIamV1Policy {
  /// Associates a list of `members` to a `role`.
  /// `bindings` with no members will result in an error.
  core.List<GoogleIamV1Binding> bindings;

  /// `etag` is used for optimistic concurrency control as a way to help
  /// prevent simultaneous updates of a policy from overwriting each other.
  /// It is strongly suggested that systems make use of the `etag` in the
  /// read-modify-write cycle to perform policy updates in order to avoid race
  /// conditions: An `etag` is returned in the response to `getIamPolicy`, and
  /// systems are expected to put that etag in the request to `setIamPolicy` to
  /// ensure that their change will be applied to the same version of the
  /// policy.
  ///
  /// If no `etag` is provided in the call to `setIamPolicy`, then the existing
  /// policy is overwritten blindly.
  core.String etag;
  core.List<core.int> get etagAsBytes {
    return convert.BASE64.decode(etag);
  }

  void set etagAsBytes(core.List<core.int> _bytes) {
    etag =
        convert.BASE64.encode(_bytes).replaceAll("/", "_").replaceAll("+", "-");
  }

  /// Deprecated.
  core.int version;

  GoogleIamV1Policy();

  GoogleIamV1Policy.fromJson(core.Map _json) {
    if (_json.containsKey("bindings")) {
      bindings = _json["bindings"]
          .map((value) => new GoogleIamV1Binding.fromJson(value))
          .toList();
    }
    if (_json.containsKey("etag")) {
      etag = _json["etag"];
    }
    if (_json.containsKey("version")) {
      version = _json["version"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (bindings != null) {
      _json["bindings"] = bindings.map((value) => (value).toJson()).toList();
    }
    if (etag != null) {
      _json["etag"] = etag;
    }
    if (version != null) {
      _json["version"] = version;
    }
    return _json;
  }
}

/// Request message for `SetIamPolicy` method.
class GoogleIamV1SetIamPolicyRequest {
  /// REQUIRED: The complete policy to be applied to the `resource`. The size of
  /// the policy is limited to a few 10s of KB. An empty policy is a
  /// valid policy but certain Cloud Platform services (such as Projects)
  /// might reject them.
  GoogleIamV1Policy policy;

  GoogleIamV1SetIamPolicyRequest();

  GoogleIamV1SetIamPolicyRequest.fromJson(core.Map _json) {
    if (_json.containsKey("policy")) {
      policy = new GoogleIamV1Policy.fromJson(_json["policy"]);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (policy != null) {
      _json["policy"] = (policy).toJson();
    }
    return _json;
  }
}

/// Request message for `TestIamPermissions` method.
class GoogleIamV1TestIamPermissionsRequest {
  /// The set of permissions to check for the `resource`. Permissions with
  /// wildcards (such as '*' or 'storage.*') are not allowed. For more
  /// information see
  /// [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
  core.List<core.String> permissions;

  GoogleIamV1TestIamPermissionsRequest();

  GoogleIamV1TestIamPermissionsRequest.fromJson(core.Map _json) {
    if (_json.containsKey("permissions")) {
      permissions = _json["permissions"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (permissions != null) {
      _json["permissions"] = permissions;
    }
    return _json;
  }
}

/// Response message for `TestIamPermissions` method.
class GoogleIamV1TestIamPermissionsResponse {
  /// A subset of `TestPermissionsRequest.permissions` that the caller is
  /// allowed.
  core.List<core.String> permissions;

  GoogleIamV1TestIamPermissionsResponse();

  GoogleIamV1TestIamPermissionsResponse.fromJson(core.Map _json) {
    if (_json.containsKey("permissions")) {
      permissions = _json["permissions"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (permissions != null) {
      _json["permissions"] = permissions;
    }
    return _json;
  }
}

/// The response message for Operations.ListOperations.
class GoogleLongrunningListOperationsResponse {
  /// The standard List next-page token.
  core.String nextPageToken;

  /// A list of operations that matches the specified filter in the request.
  core.List<GoogleLongrunningOperation> operations;

  GoogleLongrunningListOperationsResponse();

  GoogleLongrunningListOperationsResponse.fromJson(core.Map _json) {
    if (_json.containsKey("nextPageToken")) {
      nextPageToken = _json["nextPageToken"];
    }
    if (_json.containsKey("operations")) {
      operations = _json["operations"]
          .map((value) => new GoogleLongrunningOperation.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (nextPageToken != null) {
      _json["nextPageToken"] = nextPageToken;
    }
    if (operations != null) {
      _json["operations"] =
          operations.map((value) => (value).toJson()).toList();
    }
    return _json;
  }
}

/// This resource represents a long-running operation that is the result of a
/// network API call.
class GoogleLongrunningOperation {
  /// If the value is `false`, it means the operation is still in progress.
  /// If `true`, the operation is completed, and either `error` or `response` is
  /// available.
  core.bool done;

  /// The error result of the operation in case of failure or cancellation.
  GoogleRpcStatus error;

  /// Service-specific metadata associated with the operation.  It typically
  /// contains progress information and common metadata such as create time.
  /// Some services might not provide such metadata.  Any method that returns a
  /// long-running operation should document the metadata type, if any.
  ///
  /// The values for Object must be JSON objects. It can consist of `num`,
  /// `String`, `bool` and `null` as well as `Map` and `List` values.
  core.Map<core.String, core.Object> metadata;

  /// The server-assigned name, which is only unique within the same service
  /// that
  /// originally returns it. If you use the default HTTP mapping, the
  /// `name` should have the format of `operations/some/unique/name`.
  core.String name;

  /// The normal response of the operation in case of success.  If the original
  /// method returns no data on success, such as `Delete`, the response is
  /// `google.protobuf.Empty`.  If the original method is standard
  /// `Get`/`Create`/`Update`, the response should be the resource.  For other
  /// methods, the response should have the type `XxxResponse`, where `Xxx`
  /// is the original method name.  For example, if the original method name
  /// is `TakeSnapshot()`, the inferred response type is
  /// `TakeSnapshotResponse`.
  ///
  /// The values for Object must be JSON objects. It can consist of `num`,
  /// `String`, `bool` and `null` as well as `Map` and `List` values.
  core.Map<core.String, core.Object> response;

  GoogleLongrunningOperation();

  GoogleLongrunningOperation.fromJson(core.Map _json) {
    if (_json.containsKey("done")) {
      done = _json["done"];
    }
    if (_json.containsKey("error")) {
      error = new GoogleRpcStatus.fromJson(_json["error"]);
    }
    if (_json.containsKey("metadata")) {
      metadata = _json["metadata"];
    }
    if (_json.containsKey("name")) {
      name = _json["name"];
    }
    if (_json.containsKey("response")) {
      response = _json["response"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (done != null) {
      _json["done"] = done;
    }
    if (error != null) {
      _json["error"] = (error).toJson();
    }
    if (metadata != null) {
      _json["metadata"] = metadata;
    }
    if (name != null) {
      _json["name"] = name;
    }
    if (response != null) {
      _json["response"] = response;
    }
    return _json;
  }
}

/// A generic empty message that you can re-use to avoid defining duplicated
/// empty messages in your APIs. A typical example is to use it as the request
/// or the response type of an API method. For instance:
///
///     service Foo {
///       rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
///     }
///
/// The JSON representation for `Empty` is empty JSON object `{}`.
class GoogleProtobufEmpty {
  GoogleProtobufEmpty();

  GoogleProtobufEmpty.fromJson(core.Map _json) {}

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    return _json;
  }
}

/// The `Status` type defines a logical error model that is suitable for
/// different
/// programming environments, including REST APIs and RPC APIs. It is used by
/// [gRPC](https://github.com/grpc). The error model is designed to be:
///
/// - Simple to use and understand for most users
/// - Flexible enough to meet unexpected needs
///
/// # Overview
///
/// The `Status` message contains three pieces of data: error code, error
/// message,
/// and error details. The error code should be an enum value of
/// google.rpc.Code, but it may accept additional error codes if needed.  The
/// error message should be a developer-facing English message that helps
/// developers *understand* and *resolve* the error. If a localized user-facing
/// error message is needed, put the localized message in the error details or
/// localize it in the client. The optional error details may contain arbitrary
/// information about the error. There is a predefined set of error detail types
/// in the package `google.rpc` that can be used for common error conditions.
///
/// # Language mapping
///
/// The `Status` message is the logical representation of the error model, but
/// it
/// is not necessarily the actual wire format. When the `Status` message is
/// exposed in different client libraries and different wire protocols, it can
/// be
/// mapped differently. For example, it will likely be mapped to some exceptions
/// in Java, but more likely mapped to some error codes in C.
///
/// # Other uses
///
/// The error model and the `Status` message can be used in a variety of
/// environments, either with or without APIs, to provide a
/// consistent developer experience across different environments.
///
/// Example uses of this error model include:
///
/// - Partial errors. If a service needs to return partial errors to the client,
/// it may embed the `Status` in the normal response to indicate the partial
///     errors.
///
/// - Workflow errors. A typical workflow has multiple steps. Each step may
///     have a `Status` message for error reporting.
///
/// - Batch operations. If a client uses batch request and batch response, the
///     `Status` message should be used directly inside batch response, one for
///     each error sub-response.
///
/// - Asynchronous operations. If an API call embeds asynchronous operation
///     results in its response, the status of those operations should be
///     represented directly using the `Status` message.
///
/// - Logging. If some API errors are stored in logs, the message `Status` could
/// be used directly after any stripping needed for security/privacy reasons.
class GoogleRpcStatus {
  /// The status code, which should be an enum value of google.rpc.Code.
  core.int code;

  /// A list of messages that carry the error details.  There is a common set of
  /// message types for APIs to use.
  ///
  /// The values for Object must be JSON objects. It can consist of `num`,
  /// `String`, `bool` and `null` as well as `Map` and `List` values.
  core.List<core.Map<core.String, core.Object>> details;

  /// A developer-facing error message, which should be in English. Any
  /// user-facing error message should be localized and sent in the
  /// google.rpc.Status.details field, or localized by the client.
  core.String message;

  GoogleRpcStatus();

  GoogleRpcStatus.fromJson(core.Map _json) {
    if (_json.containsKey("code")) {
      code = _json["code"];
    }
    if (_json.containsKey("details")) {
      details = _json["details"];
    }
    if (_json.containsKey("message")) {
      message = _json["message"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (code != null) {
      _json["code"] = code;
    }
    if (details != null) {
      _json["details"] = details;
    }
    if (message != null) {
      _json["message"] = message;
    }
    return _json;
  }
}