generated/googleapis/lib/vision/v1.dart

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

// ignore_for_file: camel_case_types
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// ignore_for_file: library_names
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// ignore_for_file: prefer_expression_function_bodies
// ignore_for_file: prefer_final_locals
// ignore_for_file: prefer_interpolation_to_compose_strings
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// ignore_for_file: unnecessary_cast
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library googleapis.vision.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 userAgent = 'dart-api-client vision/v1';

/// Integrates Google Vision features, including image labeling, face, logo, and
/// landmark detection, optical character recognition (OCR), and detection of
/// explicit content, into applications.
class VisionApi {
  /// View and manage your data across Google Cloud Platform services
  static const cloudPlatformScope =
      'https://www.googleapis.com/auth/cloud-platform';

  /// Apply machine learning models to understand and label images
  static const cloudVisionScope =
      'https://www.googleapis.com/auth/cloud-vision';

  final commons.ApiRequester _requester;

  FilesResourceApi get files => FilesResourceApi(_requester);
  ImagesResourceApi get images => ImagesResourceApi(_requester);
  LocationsResourceApi get locations => LocationsResourceApi(_requester);
  OperationsResourceApi get operations => OperationsResourceApi(_requester);
  ProjectsResourceApi get projects => ProjectsResourceApi(_requester);

  VisionApi(http.Client client,
      {core.String rootUrl = 'https://vision.googleapis.com/',
      core.String servicePath = ''})
      : _requester =
            commons.ApiRequester(client, rootUrl, servicePath, userAgent);
}

class FilesResourceApi {
  final commons.ApiRequester _requester;

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

  /// Service that performs image detection and annotation for a batch of files.
  /// Now only "application/pdf", "image/tiff" and "image/gif" are supported.
  /// This service will extract at most 5 (customers can specify which 5 in
  /// AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each
  /// file provided and perform detection and annotation for each image
  /// extracted.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [BatchAnnotateFilesResponse].
  ///
  /// 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<BatchAnnotateFilesResponse> annotate(
    BatchAnnotateFilesRequest request, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

    if (request != null) {
      _body = convert.json.encode(request.toJson());
    }
    if ($fields != null) {
      _queryParams['fields'] = [$fields];
    }

    _url = 'v1/files:annotate';

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

  /// Run asynchronous image detection and annotation for a list of generic
  /// files, such as PDF files, which may contain multiple pages and multiple
  /// images per page. Progress and results can be retrieved through the
  /// `google.longrunning.Operations` interface. `Operation.metadata` contains
  /// `OperationMetadata` (metadata). `Operation.response` contains
  /// `AsyncBatchAnnotateFilesResponse` (results).
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> asyncBatchAnnotate(
    AsyncBatchAnnotateFilesRequest request, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

    if (request != null) {
      _body = convert.json.encode(request.toJson());
    }
    if ($fields != null) {
      _queryParams['fields'] = [$fields];
    }

    _url = 'v1/files:asyncBatchAnnotate';

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

class ImagesResourceApi {
  final commons.ApiRequester _requester;

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

  /// Run image detection and annotation for a batch of images.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [BatchAnnotateImagesResponse].
  ///
  /// 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<BatchAnnotateImagesResponse> annotate(
    BatchAnnotateImagesRequest request, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

    if (request != null) {
      _body = convert.json.encode(request.toJson());
    }
    if ($fields != null) {
      _queryParams['fields'] = [$fields];
    }

    _url = 'v1/images:annotate';

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

  /// Run asynchronous image detection and annotation for a list of images.
  /// Progress and results can be retrieved through the
  /// `google.longrunning.Operations` interface. `Operation.metadata` contains
  /// `OperationMetadata` (metadata). `Operation.response` contains
  /// `AsyncBatchAnnotateImagesResponse` (results). This service will write
  /// image annotation outputs to json files in customer GCS bucket, each json
  /// file containing BatchAnnotateImagesResponse proto.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> asyncBatchAnnotate(
    AsyncBatchAnnotateImagesRequest request, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

    if (request != null) {
      _body = convert.json.encode(request.toJson());
    }
    if ($fields != null) {
      _queryParams['fields'] = [$fields];
    }

    _url = 'v1/images:asyncBatchAnnotate';

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

class LocationsResourceApi {
  final commons.ApiRequester _requester;

  LocationsOperationsResourceApi get operations =>
      LocationsOperationsResourceApi(_requester);

  LocationsResourceApi(commons.ApiRequester client) : _requester = client;
}

class LocationsOperationsResourceApi {
  final commons.ApiRequester _requester;

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

  /// 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 "^locations/[^/]+/operations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> get(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

class OperationsResourceApi {
  final commons.ApiRequester _requester;

  OperationsResourceApi(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] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [name] - The name of the operation resource to be cancelled.
  /// Value must have pattern "^operations/.*$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Empty].
  ///
  /// 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<Empty> cancel(
    CancelOperationRequest request,
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

    final _response = _requester.request(
      _url,
      'POST',
      body: _body,
      queryParams: _queryParams,
      uploadOptions: _uploadOptions,
      uploadMedia: _uploadMedia,
      downloadOptions: _downloadOptions,
    );
    return _response.then((data) => Empty.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 "^operations/.*$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Empty].
  ///
  /// 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<Empty> delete(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

    final _response = _requester.request(
      _url,
      'DELETE',
      body: _body,
      queryParams: _queryParams,
      uploadOptions: _uploadOptions,
      uploadMedia: _uploadMedia,
      downloadOptions: _downloadOptions,
    );
    return _response.then((data) => Empty.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 "^operations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> get(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

    final _response = _requester.request(
      _url,
      'GET',
      body: _body,
      queryParams: _queryParams,
      uploadOptions: _uploadOptions,
      uploadMedia: _uploadMedia,
      downloadOptions: _downloadOptions,
    );
    return _response.then((data) => Operation.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 "^operations$".
  ///
  /// [filter] - The standard list filter.
  ///
  /// [pageSize] - The standard list page size.
  ///
  /// [pageToken] - The standard list page token.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [ListOperationsResponse].
  ///
  /// 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<ListOperationsResponse> list(
    core.String name, {
    core.String filter,
    core.int pageSize,
    core.String pageToken,
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

class ProjectsResourceApi {
  final commons.ApiRequester _requester;

  ProjectsFilesResourceApi get files => ProjectsFilesResourceApi(_requester);
  ProjectsImagesResourceApi get images => ProjectsImagesResourceApi(_requester);
  ProjectsLocationsResourceApi get locations =>
      ProjectsLocationsResourceApi(_requester);
  ProjectsOperationsResourceApi get operations =>
      ProjectsOperationsResourceApi(_requester);

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

class ProjectsFilesResourceApi {
  final commons.ApiRequester _requester;

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

  /// Service that performs image detection and annotation for a batch of files.
  /// Now only "application/pdf", "image/tiff" and "image/gif" are supported.
  /// This service will extract at most 5 (customers can specify which 5 in
  /// AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each
  /// file provided and perform detection and annotation for each image
  /// extracted.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [BatchAnnotateFilesResponse].
  ///
  /// 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<BatchAnnotateFilesResponse> annotate(
    BatchAnnotateFilesRequest request,
    core.String parent, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$parent') +
        '/files:annotate';

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

  /// Run asynchronous image detection and annotation for a list of generic
  /// files, such as PDF files, which may contain multiple pages and multiple
  /// images per page. Progress and results can be retrieved through the
  /// `google.longrunning.Operations` interface. `Operation.metadata` contains
  /// `OperationMetadata` (metadata). `Operation.response` contains
  /// `AsyncBatchAnnotateFilesResponse` (results).
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> asyncBatchAnnotate(
    AsyncBatchAnnotateFilesRequest request,
    core.String parent, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$parent') +
        '/files:asyncBatchAnnotate';

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

class ProjectsImagesResourceApi {
  final commons.ApiRequester _requester;

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

  /// Run image detection and annotation for a batch of images.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [BatchAnnotateImagesResponse].
  ///
  /// 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<BatchAnnotateImagesResponse> annotate(
    BatchAnnotateImagesRequest request,
    core.String parent, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$parent') +
        '/images:annotate';

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

  /// Run asynchronous image detection and annotation for a list of images.
  /// Progress and results can be retrieved through the
  /// `google.longrunning.Operations` interface. `Operation.metadata` contains
  /// `OperationMetadata` (metadata). `Operation.response` contains
  /// `AsyncBatchAnnotateImagesResponse` (results). This service will write
  /// image annotation outputs to json files in customer GCS bucket, each json
  /// file containing BatchAnnotateImagesResponse proto.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  /// Value must have pattern "^projects/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> asyncBatchAnnotate(
    AsyncBatchAnnotateImagesRequest request,
    core.String parent, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$parent') +
        '/images:asyncBatchAnnotate';

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

class ProjectsLocationsResourceApi {
  final commons.ApiRequester _requester;

  ProjectsLocationsFilesResourceApi get files =>
      ProjectsLocationsFilesResourceApi(_requester);
  ProjectsLocationsImagesResourceApi get images =>
      ProjectsLocationsImagesResourceApi(_requester);
  ProjectsLocationsOperationsResourceApi get operations =>
      ProjectsLocationsOperationsResourceApi(_requester);
  ProjectsLocationsProductSetsResourceApi get productSets =>
      ProjectsLocationsProductSetsResourceApi(_requester);
  ProjectsLocationsProductsResourceApi get products =>
      ProjectsLocationsProductsResourceApi(_requester);

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

class ProjectsLocationsFilesResourceApi {
  final commons.ApiRequester _requester;

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

  /// Service that performs image detection and annotation for a batch of files.
  /// Now only "application/pdf", "image/tiff" and "image/gif" are supported.
  /// This service will extract at most 5 (customers can specify which 5 in
  /// AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each
  /// file provided and perform detection and annotation for each image
  /// extracted.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [BatchAnnotateFilesResponse].
  ///
  /// 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<BatchAnnotateFilesResponse> annotate(
    BatchAnnotateFilesRequest request,
    core.String parent, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$parent') +
        '/files:annotate';

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

  /// Run asynchronous image detection and annotation for a list of generic
  /// files, such as PDF files, which may contain multiple pages and multiple
  /// images per page. Progress and results can be retrieved through the
  /// `google.longrunning.Operations` interface. `Operation.metadata` contains
  /// `OperationMetadata` (metadata). `Operation.response` contains
  /// `AsyncBatchAnnotateFilesResponse` (results).
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> asyncBatchAnnotate(
    AsyncBatchAnnotateFilesRequest request,
    core.String parent, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$parent') +
        '/files:asyncBatchAnnotate';

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

class ProjectsLocationsImagesResourceApi {
  final commons.ApiRequester _requester;

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

  /// Run image detection and annotation for a batch of images.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [BatchAnnotateImagesResponse].
  ///
  /// 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<BatchAnnotateImagesResponse> annotate(
    BatchAnnotateImagesRequest request,
    core.String parent, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$parent') +
        '/images:annotate';

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

  /// Run asynchronous image detection and annotation for a list of images.
  /// Progress and results can be retrieved through the
  /// `google.longrunning.Operations` interface. `Operation.metadata` contains
  /// `OperationMetadata` (metadata). `Operation.response` contains
  /// `AsyncBatchAnnotateImagesResponse` (results). This service will write
  /// image annotation outputs to json files in customer GCS bucket, each json
  /// file containing BatchAnnotateImagesResponse proto.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> asyncBatchAnnotate(
    AsyncBatchAnnotateImagesRequest request,
    core.String parent, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$parent') +
        '/images:asyncBatchAnnotate';

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

class ProjectsLocationsOperationsResourceApi {
  final commons.ApiRequester _requester;

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

  /// 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/[^/]+/locations/[^/]+/operations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> get(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

class ProjectsLocationsProductSetsResourceApi {
  final commons.ApiRequester _requester;

  ProjectsLocationsProductSetsProductsResourceApi get products =>
      ProjectsLocationsProductSetsProductsResourceApi(_requester);

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

  /// Adds a Product to the specified ProductSet. If the Product is already
  /// present, no change is made. One Product can be added to at most 100
  /// ProductSets. Possible errors: * Returns NOT_FOUND if the Product or the
  /// ProductSet doesn't exist.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The resource name for the ProductSet to modify. Format
  /// is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`
  /// Value must have pattern
  /// "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Empty].
  ///
  /// 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<Empty> addProduct(
    AddProductToProductSetRequest request,
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Creates and returns a new ProductSet resource. Possible errors: * Returns
  /// INVALID_ARGUMENT if display_name is missing, or is longer than 4096
  /// characters.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The project in which the ProductSet should be
  /// created. Format is `projects/PROJECT_ID/locations/LOC_ID`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [productSetId] - A user-supplied resource id for this ProductSet. If set,
  /// the server will attempt to use this value as the resource id. If it is
  /// already in use, an error is returned with code ALREADY_EXISTS. Must be at
  /// most 128 characters long. It cannot contain the character `/`.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [ProductSet].
  ///
  /// 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<ProductSet> create(
    ProductSet request,
    core.String parent, {
    core.String productSetId,
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Permanently deletes a ProductSet. Products and ReferenceImages in the
  /// ProductSet are not deleted. The actual image files are not deleted from
  /// Google Cloud Storage.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. Resource name of the ProductSet to delete. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`
  /// Value must have pattern
  /// "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Empty].
  ///
  /// 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<Empty> delete(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Gets information associated with a ProductSet. Possible errors: * Returns
  /// NOT_FOUND if the ProductSet does not exist.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. Resource name of the ProductSet to get. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`
  /// Value must have pattern
  /// "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [ProductSet].
  ///
  /// 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<ProductSet> get(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Asynchronous API that imports a list of reference images to specified
  /// product sets based on a list of image information. The
  /// google.longrunning.Operation API can be used to keep track of the progress
  /// and results of the request. `Operation.metadata` contains
  /// `BatchOperationMetadata`. (progress) `Operation.response` contains
  /// `ImportProductSetsResponse`. (results) The input source of this method is
  /// a csv file on Google Cloud Storage. For the format of the csv file please
  /// see ImportProductSetsGcsSource.csv_file_uri.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The project in which the ProductSets should be
  /// imported. Format is `projects/PROJECT_ID/locations/LOC_ID`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> import(
    ImportProductSetsRequest request,
    core.String parent, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$parent') +
        '/productSets:import';

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

  /// Lists ProductSets in an unspecified order. Possible errors: * Returns
  /// INVALID_ARGUMENT if page_size is greater than 100, or less than 1.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The project from which ProductSets should be listed.
  /// Format is `projects/PROJECT_ID/locations/LOC_ID`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [pageSize] - The maximum number of items to return. Default 10, maximum
  /// 100.
  ///
  /// [pageToken] - The next_page_token returned from a previous List request,
  /// if any.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [ListProductSetsResponse].
  ///
  /// 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<ListProductSetsResponse> list(
    core.String parent, {
    core.int pageSize,
    core.String pageToken,
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

    if (parent == null) {
      throw 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') +
        '/productSets';

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

  /// Makes changes to a ProductSet resource. Only display_name can be updated
  /// currently. Possible errors: * Returns NOT_FOUND if the ProductSet does not
  /// exist. * Returns INVALID_ARGUMENT if display_name is present in
  /// update_mask but missing from the request or longer than 4096 characters.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [name] - The resource name of the ProductSet. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`. This
  /// field is ignored when creating a ProductSet.
  /// Value must have pattern
  /// "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$".
  ///
  /// [updateMask] - The FieldMask that specifies which fields to update. If
  /// update_mask isn't specified, all mutable fields are to be updated. Valid
  /// mask path is `display_name`.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [ProductSet].
  ///
  /// 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<ProductSet> patch(
    ProductSet request,
    core.String name, {
    core.String updateMask,
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Removes a Product from the specified ProductSet.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The resource name for the ProductSet to modify. Format
  /// is: `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`
  /// Value must have pattern
  /// "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Empty].
  ///
  /// 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<Empty> removeProduct(
    RemoveProductFromProductSetRequest request,
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

class ProjectsLocationsProductSetsProductsResourceApi {
  final commons.ApiRequester _requester;

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

  /// Lists the Products in a ProductSet, in an unspecified order. If the
  /// ProductSet does not exist, the products field of the response will be
  /// empty. Possible errors: * Returns INVALID_ARGUMENT if page_size is greater
  /// than 100 or less than 1.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The ProductSet resource for which to retrieve Products.
  /// Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`
  /// Value must have pattern
  /// "^projects/[^/]+/locations/[^/]+/productSets/[^/]+$".
  ///
  /// [pageSize] - The maximum number of items to return. Default 10, maximum
  /// 100.
  ///
  /// [pageToken] - The next_page_token returned from a previous List request,
  /// if any.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [ListProductsInProductSetResponse].
  ///
  /// 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<ListProductsInProductSetResponse> list(
    core.String name, {
    core.int pageSize,
    core.String pageToken,
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

    if (name == null) {
      throw core.ArgumentError('Parameter name 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('$name') + '/products';

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

class ProjectsLocationsProductsResourceApi {
  final commons.ApiRequester _requester;

  ProjectsLocationsProductsReferenceImagesResourceApi get referenceImages =>
      ProjectsLocationsProductsReferenceImagesResourceApi(_requester);

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

  /// Creates and returns a new product resource. Possible errors: * Returns
  /// INVALID_ARGUMENT if display_name is missing or longer than 4096
  /// characters. * Returns INVALID_ARGUMENT if description is longer than 4096
  /// characters. * Returns INVALID_ARGUMENT if product_category is missing or
  /// invalid.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The project in which the Product should be created.
  /// Format is `projects/PROJECT_ID/locations/LOC_ID`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [productId] - A user-supplied resource id for this Product. If set, the
  /// server will attempt to use this value as the resource id. If it is already
  /// in use, an error is returned with code ALREADY_EXISTS. Must be at most 128
  /// characters long. It cannot contain the character `/`.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Product].
  ///
  /// 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<Product> create(
    Product request,
    core.String parent, {
    core.String productId,
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Permanently deletes a product and its reference images. Metadata of the
  /// product and all its images will be deleted right away, but search queries
  /// against ProductSets containing the product may still work until all
  /// related caches are refreshed.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. Resource name of product to delete. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+/products/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Empty].
  ///
  /// 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<Empty> delete(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Gets information associated with a Product. Possible errors: * Returns
  /// NOT_FOUND if the Product does not exist.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. Resource name of the Product to get. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+/products/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Product].
  ///
  /// 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<Product> get(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Lists products in an unspecified order. Possible errors: * Returns
  /// INVALID_ARGUMENT if page_size is greater than 100 or less than 1.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The project OR ProductSet from which Products should
  /// be listed. Format: `projects/PROJECT_ID/locations/LOC_ID`
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [pageSize] - The maximum number of items to return. Default 10, maximum
  /// 100.
  ///
  /// [pageToken] - The next_page_token returned from a previous List request,
  /// if any.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [ListProductsResponse].
  ///
  /// 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<ListProductsResponse> list(
    core.String parent, {
    core.int pageSize,
    core.String pageToken,
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

    if (parent == null) {
      throw 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') + '/products';

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

  /// Makes changes to a Product resource. Only the `display_name`,
  /// `description`, and `labels` fields can be updated right now. If labels are
  /// updated, the change will not be reflected in queries until the next index
  /// time. Possible errors: * Returns NOT_FOUND if the Product does not exist.
  /// * Returns INVALID_ARGUMENT if display_name is present in update_mask but
  /// is missing from the request or longer than 4096 characters. * Returns
  /// INVALID_ARGUMENT if description is present in update_mask but is longer
  /// than 4096 characters. * Returns INVALID_ARGUMENT if product_category is
  /// present in update_mask.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [name] - The resource name of the product. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is
  /// ignored when creating a product.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+/products/[^/]+$".
  ///
  /// [updateMask] - The FieldMask that specifies which fields to update. If
  /// update_mask isn't specified, all mutable fields are to be updated. Valid
  /// mask paths include `product_labels`, `display_name`, and `description`.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Product].
  ///
  /// 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<Product> patch(
    Product request,
    core.String name, {
    core.String updateMask,
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Asynchronous API to delete all Products in a ProductSet or all Products
  /// that are in no ProductSet. If a Product is a member of the specified
  /// ProductSet in addition to other ProductSets, the Product will still be
  /// deleted. It is recommended to not delete the specified ProductSet until
  /// after this operation has completed. It is also recommended to not add any
  /// of the Products involved in the batch delete to a new ProductSet while
  /// this operation is running because those Products may still end up deleted.
  /// It's not possible to undo the PurgeProducts operation. Therefore, it is
  /// recommended to keep the csv files used in ImportProductSets (if that was
  /// how you originally built the Product Set) before starting PurgeProducts,
  /// in case you need to re-import the data after deletion. If the plan is to
  /// purge all of the Products from a ProductSet and then re-use the empty
  /// ProductSet to re-import new Products into the empty ProductSet, you must
  /// wait until the PurgeProducts operation has finished for that ProductSet.
  /// The google.longrunning.Operation API can be used to keep track of the
  /// progress and results of the request. `Operation.metadata` contains
  /// `BatchOperationMetadata`. (progress)
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. The project and location in which the Products should
  /// be deleted. Format is `projects/PROJECT_ID/locations/LOC_ID`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// 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<Operation> purge(
    PurgeProductsRequest request,
    core.String parent, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

    _url = 'v1/' +
        commons.Escaper.ecapeVariableReserved('$parent') +
        '/products:purge';

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

class ProjectsLocationsProductsReferenceImagesResourceApi {
  final commons.ApiRequester _requester;

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

  /// Creates and returns a new ReferenceImage resource. The `bounding_poly`
  /// field is optional. If `bounding_poly` is not specified, the system will
  /// try to detect regions of interest in the image that are compatible with
  /// the product_category on the parent product. If it is specified, detection
  /// is ALWAYS skipped. The system converts polygons into non-rotated
  /// rectangles. Note that the pipeline will resize the image if the image
  /// resolution is too large to process (above 50MP). Possible errors: *
  /// Returns INVALID_ARGUMENT if the image_uri is missing or longer than 4096
  /// characters. * Returns INVALID_ARGUMENT if the product does not exist. *
  /// Returns INVALID_ARGUMENT if bounding_poly is not provided, and nothing
  /// compatible with the parent product's product_category is detected. *
  /// Returns INVALID_ARGUMENT if bounding_poly contains more than 10 polygons.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. Resource name of the product in which to create the
  /// reference image. Format is
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+/products/[^/]+$".
  ///
  /// [referenceImageId] - A user-supplied resource id for the ReferenceImage to
  /// be added. If set, the server will attempt to use this value as the
  /// resource id. If it is already in use, an error is returned with code
  /// ALREADY_EXISTS. Must be at most 128 characters long. It cannot contain the
  /// character `/`.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [ReferenceImage].
  ///
  /// 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<ReferenceImage> create(
    ReferenceImage request,
    core.String parent, {
    core.String referenceImageId,
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Permanently deletes a reference image. The image metadata will be deleted
  /// right away, but search queries against ProductSets containing the image
  /// may still work until all related caches are refreshed. The actual image
  /// files are not deleted from Google Cloud Storage.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The resource name of the reference image to delete.
  /// Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`
  /// Value must have pattern
  /// "^projects/[^/]+/locations/[^/]+/products/[^/]+/referenceImages/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Empty].
  ///
  /// 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<Empty> delete(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Gets information associated with a ReferenceImage. Possible errors: *
  /// Returns NOT_FOUND if the specified image does not exist.
  ///
  /// Request parameters:
  ///
  /// [name] - Required. The resource name of the ReferenceImage to get. Format
  /// is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`.
  /// Value must have pattern
  /// "^projects/[^/]+/locations/[^/]+/products/[^/]+/referenceImages/[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [ReferenceImage].
  ///
  /// 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<ReferenceImage> get(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

  /// Lists reference images. Possible errors: * Returns NOT_FOUND if the parent
  /// product does not exist. * Returns INVALID_ARGUMENT if the page_size is
  /// greater than 100, or less than 1.
  ///
  /// Request parameters:
  ///
  /// [parent] - Required. Resource name of the product containing the reference
  /// images. Format is
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`.
  /// Value must have pattern "^projects/[^/]+/locations/[^/]+/products/[^/]+$".
  ///
  /// [pageSize] - The maximum number of items to return. Default 10, maximum
  /// 100.
  ///
  /// [pageToken] - A token identifying a page of results to be returned. This
  /// is the value of `nextPageToken` returned in a previous reference image
  /// list request. Defaults to the first page if not specified.
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [ListReferenceImagesResponse].
  ///
  /// 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<ListReferenceImagesResponse> list(
    core.String parent, {
    core.int pageSize,
    core.String pageToken,
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

    if (parent == null) {
      throw 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') +
        '/referenceImages';

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

class ProjectsOperationsResourceApi {
  final commons.ApiRequester _requester;

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

  /// 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 [Operation].
  ///
  /// 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<Operation> get(
    core.String name, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

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

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

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

/// Request message for the `AddProductToProductSet` method.
class AddProductToProductSetRequest {
  /// Required. The resource name for the Product to be added to this
  /// ProductSet. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`
  core.String product;

  AddProductToProductSetRequest();

  AddProductToProductSetRequest.fromJson(core.Map _json) {
    if (_json.containsKey('product')) {
      product = _json['product'] as core.String;
    }
  }

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

/// A request to annotate one single file, e.g. a PDF, TIFF or GIF file.
class AnnotateFileRequest {
  /// Required. Requested features.
  core.List<Feature> features;

  /// Additional context that may accompany the image(s) in the file.
  ImageContext imageContext;

  /// Required. Information about the input file.
  InputConfig inputConfig;

  /// Pages of the file to perform image annotation. Pages starts from 1, we
  /// assume the first page of the file is page 1. At most 5 pages are supported
  /// per request. Pages can be negative. Page 1 means the first page. Page 2
  /// means the second page. Page -1 means the last page. Page -2 means the
  /// second to the last page. If the file is GIF instead of PDF or TIFF, page
  /// refers to GIF frames. If this field is empty, by default the service
  /// performs image annotation for the first 5 pages of the file.
  core.List<core.int> pages;

  AnnotateFileRequest();

  AnnotateFileRequest.fromJson(core.Map _json) {
    if (_json.containsKey('features')) {
      features = (_json['features'] as core.List)
          .map<Feature>((value) => Feature.fromJson(value))
          .toList();
    }
    if (_json.containsKey('imageContext')) {
      imageContext = ImageContext.fromJson(_json['imageContext']);
    }
    if (_json.containsKey('inputConfig')) {
      inputConfig = InputConfig.fromJson(_json['inputConfig']);
    }
    if (_json.containsKey('pages')) {
      pages = (_json['pages'] as core.List)
          .map<core.int>((value) => value as core.int)
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (features != null) {
      _json['features'] = features.map((value) => value.toJson()).toList();
    }
    if (imageContext != null) {
      _json['imageContext'] = imageContext.toJson();
    }
    if (inputConfig != null) {
      _json['inputConfig'] = inputConfig.toJson();
    }
    if (pages != null) {
      _json['pages'] = pages;
    }
    return _json;
  }
}

/// Response to a single file annotation request. A file may contain one or more
/// images, which individually have their own responses.
class AnnotateFileResponse {
  /// If set, represents the error message for the failed request. The
  /// `responses` field will not be set in this case.
  Status error;

  /// Information about the file for which this response is generated.
  InputConfig inputConfig;

  /// Individual responses to images found within the file. This field will be
  /// empty if the `error` field is set.
  core.List<AnnotateImageResponse> responses;

  /// This field gives the total number of pages in the file.
  core.int totalPages;

  AnnotateFileResponse();

  AnnotateFileResponse.fromJson(core.Map _json) {
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('inputConfig')) {
      inputConfig = InputConfig.fromJson(_json['inputConfig']);
    }
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<AnnotateImageResponse>(
              (value) => AnnotateImageResponse.fromJson(value))
          .toList();
    }
    if (_json.containsKey('totalPages')) {
      totalPages = _json['totalPages'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (error != null) {
      _json['error'] = error.toJson();
    }
    if (inputConfig != null) {
      _json['inputConfig'] = inputConfig.toJson();
    }
    if (responses != null) {
      _json['responses'] = responses.map((value) => value.toJson()).toList();
    }
    if (totalPages != null) {
      _json['totalPages'] = totalPages;
    }
    return _json;
  }
}

/// Request for performing Google Cloud Vision API tasks over a user-provided
/// image, with user-requested features, and with context information.
class AnnotateImageRequest {
  /// Requested features.
  core.List<Feature> features;

  /// The image to be processed.
  Image image;

  /// Additional context that may accompany the image.
  ImageContext imageContext;

  AnnotateImageRequest();

  AnnotateImageRequest.fromJson(core.Map _json) {
    if (_json.containsKey('features')) {
      features = (_json['features'] as core.List)
          .map<Feature>((value) => Feature.fromJson(value))
          .toList();
    }
    if (_json.containsKey('image')) {
      image = Image.fromJson(_json['image']);
    }
    if (_json.containsKey('imageContext')) {
      imageContext = ImageContext.fromJson(_json['imageContext']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (features != null) {
      _json['features'] = features.map((value) => value.toJson()).toList();
    }
    if (image != null) {
      _json['image'] = image.toJson();
    }
    if (imageContext != null) {
      _json['imageContext'] = imageContext.toJson();
    }
    return _json;
  }
}

/// Response to an image annotation request.
class AnnotateImageResponse {
  /// If present, contextual information is needed to understand where this
  /// image comes from.
  ImageAnnotationContext context;

  /// If present, crop hints have completed successfully.
  CropHintsAnnotation cropHintsAnnotation;

  /// If set, represents the error message for the operation. Note that
  /// filled-in image annotations are guaranteed to be correct, even when
  /// `error` is set.
  Status error;

  /// If present, face detection has completed successfully.
  core.List<FaceAnnotation> faceAnnotations;

  /// If present, text (OCR) detection or document (OCR) text detection has
  /// completed successfully. This annotation provides the structural hierarchy
  /// for the OCR detected text.
  TextAnnotation fullTextAnnotation;

  /// If present, image properties were extracted successfully.
  ImageProperties imagePropertiesAnnotation;

  /// If present, label detection has completed successfully.
  core.List<EntityAnnotation> labelAnnotations;

  /// If present, landmark detection has completed successfully.
  core.List<EntityAnnotation> landmarkAnnotations;

  /// If present, localized object detection has completed successfully. This
  /// will be sorted descending by confidence score.
  core.List<LocalizedObjectAnnotation> localizedObjectAnnotations;

  /// If present, logo detection has completed successfully.
  core.List<EntityAnnotation> logoAnnotations;

  /// If present, product search has completed successfully.
  ProductSearchResults productSearchResults;

  /// If present, safe-search annotation has completed successfully.
  SafeSearchAnnotation safeSearchAnnotation;

  /// If present, text (OCR) detection has completed successfully.
  core.List<EntityAnnotation> textAnnotations;

  /// If present, web detection has completed successfully.
  WebDetection webDetection;

  AnnotateImageResponse();

  AnnotateImageResponse.fromJson(core.Map _json) {
    if (_json.containsKey('context')) {
      context = ImageAnnotationContext.fromJson(_json['context']);
    }
    if (_json.containsKey('cropHintsAnnotation')) {
      cropHintsAnnotation =
          CropHintsAnnotation.fromJson(_json['cropHintsAnnotation']);
    }
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('faceAnnotations')) {
      faceAnnotations = (_json['faceAnnotations'] as core.List)
          .map<FaceAnnotation>((value) => FaceAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('fullTextAnnotation')) {
      fullTextAnnotation = TextAnnotation.fromJson(_json['fullTextAnnotation']);
    }
    if (_json.containsKey('imagePropertiesAnnotation')) {
      imagePropertiesAnnotation =
          ImageProperties.fromJson(_json['imagePropertiesAnnotation']);
    }
    if (_json.containsKey('labelAnnotations')) {
      labelAnnotations = (_json['labelAnnotations'] as core.List)
          .map<EntityAnnotation>((value) => EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('landmarkAnnotations')) {
      landmarkAnnotations = (_json['landmarkAnnotations'] as core.List)
          .map<EntityAnnotation>((value) => EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('localizedObjectAnnotations')) {
      localizedObjectAnnotations =
          (_json['localizedObjectAnnotations'] as core.List)
              .map<LocalizedObjectAnnotation>(
                  (value) => LocalizedObjectAnnotation.fromJson(value))
              .toList();
    }
    if (_json.containsKey('logoAnnotations')) {
      logoAnnotations = (_json['logoAnnotations'] as core.List)
          .map<EntityAnnotation>((value) => EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('productSearchResults')) {
      productSearchResults =
          ProductSearchResults.fromJson(_json['productSearchResults']);
    }
    if (_json.containsKey('safeSearchAnnotation')) {
      safeSearchAnnotation =
          SafeSearchAnnotation.fromJson(_json['safeSearchAnnotation']);
    }
    if (_json.containsKey('textAnnotations')) {
      textAnnotations = (_json['textAnnotations'] as core.List)
          .map<EntityAnnotation>((value) => EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('webDetection')) {
      webDetection = WebDetection.fromJson(_json['webDetection']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (context != null) {
      _json['context'] = context.toJson();
    }
    if (cropHintsAnnotation != null) {
      _json['cropHintsAnnotation'] = cropHintsAnnotation.toJson();
    }
    if (error != null) {
      _json['error'] = error.toJson();
    }
    if (faceAnnotations != null) {
      _json['faceAnnotations'] =
          faceAnnotations.map((value) => value.toJson()).toList();
    }
    if (fullTextAnnotation != null) {
      _json['fullTextAnnotation'] = fullTextAnnotation.toJson();
    }
    if (imagePropertiesAnnotation != null) {
      _json['imagePropertiesAnnotation'] = imagePropertiesAnnotation.toJson();
    }
    if (labelAnnotations != null) {
      _json['labelAnnotations'] =
          labelAnnotations.map((value) => value.toJson()).toList();
    }
    if (landmarkAnnotations != null) {
      _json['landmarkAnnotations'] =
          landmarkAnnotations.map((value) => value.toJson()).toList();
    }
    if (localizedObjectAnnotations != null) {
      _json['localizedObjectAnnotations'] =
          localizedObjectAnnotations.map((value) => value.toJson()).toList();
    }
    if (logoAnnotations != null) {
      _json['logoAnnotations'] =
          logoAnnotations.map((value) => value.toJson()).toList();
    }
    if (productSearchResults != null) {
      _json['productSearchResults'] = productSearchResults.toJson();
    }
    if (safeSearchAnnotation != null) {
      _json['safeSearchAnnotation'] = safeSearchAnnotation.toJson();
    }
    if (textAnnotations != null) {
      _json['textAnnotations'] =
          textAnnotations.map((value) => value.toJson()).toList();
    }
    if (webDetection != null) {
      _json['webDetection'] = webDetection.toJson();
    }
    return _json;
  }
}

/// An offline file annotation request.
class AsyncAnnotateFileRequest {
  /// Required. Requested features.
  core.List<Feature> features;

  /// Additional context that may accompany the image(s) in the file.
  ImageContext imageContext;

  /// Required. Information about the input file.
  InputConfig inputConfig;

  /// Required. The desired output location and metadata (e.g. format).
  OutputConfig outputConfig;

  AsyncAnnotateFileRequest();

  AsyncAnnotateFileRequest.fromJson(core.Map _json) {
    if (_json.containsKey('features')) {
      features = (_json['features'] as core.List)
          .map<Feature>((value) => Feature.fromJson(value))
          .toList();
    }
    if (_json.containsKey('imageContext')) {
      imageContext = ImageContext.fromJson(_json['imageContext']);
    }
    if (_json.containsKey('inputConfig')) {
      inputConfig = InputConfig.fromJson(_json['inputConfig']);
    }
    if (_json.containsKey('outputConfig')) {
      outputConfig = OutputConfig.fromJson(_json['outputConfig']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (features != null) {
      _json['features'] = features.map((value) => value.toJson()).toList();
    }
    if (imageContext != null) {
      _json['imageContext'] = imageContext.toJson();
    }
    if (inputConfig != null) {
      _json['inputConfig'] = inputConfig.toJson();
    }
    if (outputConfig != null) {
      _json['outputConfig'] = outputConfig.toJson();
    }
    return _json;
  }
}

/// The response for a single offline file annotation request.
class AsyncAnnotateFileResponse {
  /// The output location and metadata from AsyncAnnotateFileRequest.
  OutputConfig outputConfig;

  AsyncAnnotateFileResponse();

  AsyncAnnotateFileResponse.fromJson(core.Map _json) {
    if (_json.containsKey('outputConfig')) {
      outputConfig = OutputConfig.fromJson(_json['outputConfig']);
    }
  }

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

/// Multiple async file annotation requests are batched into a single service
/// call.
class AsyncBatchAnnotateFilesRequest {
  /// Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  core.String parent;

  /// Required. Individual async file annotation requests for this batch.
  core.List<AsyncAnnotateFileRequest> requests;

  AsyncBatchAnnotateFilesRequest();

  AsyncBatchAnnotateFilesRequest.fromJson(core.Map _json) {
    if (_json.containsKey('parent')) {
      parent = _json['parent'] as core.String;
    }
    if (_json.containsKey('requests')) {
      requests = (_json['requests'] as core.List)
          .map<AsyncAnnotateFileRequest>(
              (value) => AsyncAnnotateFileRequest.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (parent != null) {
      _json['parent'] = parent;
    }
    if (requests != null) {
      _json['requests'] = requests.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Response to an async batch file annotation request.
class AsyncBatchAnnotateFilesResponse {
  /// The list of file annotation responses, one for each request in
  /// AsyncBatchAnnotateFilesRequest.
  core.List<AsyncAnnotateFileResponse> responses;

  AsyncBatchAnnotateFilesResponse();

  AsyncBatchAnnotateFilesResponse.fromJson(core.Map _json) {
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<AsyncAnnotateFileResponse>(
              (value) => AsyncAnnotateFileResponse.fromJson(value))
          .toList();
    }
  }

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

/// Request for async image annotation for a list of images.
class AsyncBatchAnnotateImagesRequest {
  /// Required. The desired output location and metadata (e.g. format).
  OutputConfig outputConfig;

  /// Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  core.String parent;

  /// Required. Individual image annotation requests for this batch.
  core.List<AnnotateImageRequest> requests;

  AsyncBatchAnnotateImagesRequest();

  AsyncBatchAnnotateImagesRequest.fromJson(core.Map _json) {
    if (_json.containsKey('outputConfig')) {
      outputConfig = OutputConfig.fromJson(_json['outputConfig']);
    }
    if (_json.containsKey('parent')) {
      parent = _json['parent'] as core.String;
    }
    if (_json.containsKey('requests')) {
      requests = (_json['requests'] as core.List)
          .map<AnnotateImageRequest>(
              (value) => AnnotateImageRequest.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (outputConfig != null) {
      _json['outputConfig'] = outputConfig.toJson();
    }
    if (parent != null) {
      _json['parent'] = parent;
    }
    if (requests != null) {
      _json['requests'] = requests.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Response to an async batch image annotation request.
class AsyncBatchAnnotateImagesResponse {
  /// The output location and metadata from AsyncBatchAnnotateImagesRequest.
  OutputConfig outputConfig;

  AsyncBatchAnnotateImagesResponse();

  AsyncBatchAnnotateImagesResponse.fromJson(core.Map _json) {
    if (_json.containsKey('outputConfig')) {
      outputConfig = OutputConfig.fromJson(_json['outputConfig']);
    }
  }

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

/// A list of requests to annotate files using the BatchAnnotateFiles API.
class BatchAnnotateFilesRequest {
  /// Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  core.String parent;

  /// Required. The list of file annotation requests. Right now we support only
  /// one AnnotateFileRequest in BatchAnnotateFilesRequest.
  core.List<AnnotateFileRequest> requests;

  BatchAnnotateFilesRequest();

  BatchAnnotateFilesRequest.fromJson(core.Map _json) {
    if (_json.containsKey('parent')) {
      parent = _json['parent'] as core.String;
    }
    if (_json.containsKey('requests')) {
      requests = (_json['requests'] as core.List)
          .map<AnnotateFileRequest>(
              (value) => AnnotateFileRequest.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (parent != null) {
      _json['parent'] = parent;
    }
    if (requests != null) {
      _json['requests'] = requests.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A list of file annotation responses.
class BatchAnnotateFilesResponse {
  /// The list of file annotation responses, each response corresponding to each
  /// AnnotateFileRequest in BatchAnnotateFilesRequest.
  core.List<AnnotateFileResponse> responses;

  BatchAnnotateFilesResponse();

  BatchAnnotateFilesResponse.fromJson(core.Map _json) {
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<AnnotateFileResponse>(
              (value) => AnnotateFileResponse.fromJson(value))
          .toList();
    }
  }

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

/// Multiple image annotation requests are batched into a single service call.
class BatchAnnotateImagesRequest {
  /// Optional. Target project and location to make a call. Format:
  /// `projects/{project-id}/locations/{location-id}`. If no parent is
  /// specified, a region will be chosen automatically. Supported location-ids:
  /// `us`: USA country only, `asia`: East asia areas, like Japan, Taiwan, `eu`:
  /// The European Union. Example: `projects/project-A/locations/eu`.
  core.String parent;

  /// Required. Individual image annotation requests for this batch.
  core.List<AnnotateImageRequest> requests;

  BatchAnnotateImagesRequest();

  BatchAnnotateImagesRequest.fromJson(core.Map _json) {
    if (_json.containsKey('parent')) {
      parent = _json['parent'] as core.String;
    }
    if (_json.containsKey('requests')) {
      requests = (_json['requests'] as core.List)
          .map<AnnotateImageRequest>(
              (value) => AnnotateImageRequest.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (parent != null) {
      _json['parent'] = parent;
    }
    if (requests != null) {
      _json['requests'] = requests.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Response to a batch image annotation request.
class BatchAnnotateImagesResponse {
  /// Individual responses to image annotation requests within the batch.
  core.List<AnnotateImageResponse> responses;

  BatchAnnotateImagesResponse();

  BatchAnnotateImagesResponse.fromJson(core.Map _json) {
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<AnnotateImageResponse>(
              (value) => AnnotateImageResponse.fromJson(value))
          .toList();
    }
  }

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

/// Metadata for the batch operations such as the current state. This is
/// included in the `metadata` field of the `Operation` returned by the
/// `GetOperation` call of the `google::longrunning::Operations` service.
class BatchOperationMetadata {
  /// The time when the batch request is finished and
  /// google.longrunning.Operation.done is set to true.
  core.String endTime;

  /// The current state of the batch operation.
  /// Possible string values are:
  /// - "STATE_UNSPECIFIED" : Invalid.
  /// - "PROCESSING" : Request is actively being processed.
  /// - "SUCCESSFUL" : The request is done and at least one item has been
  /// successfully processed.
  /// - "FAILED" : The request is done and no item has been successfully
  /// processed.
  /// - "CANCELLED" : The request is done after the
  /// longrunning.Operations.CancelOperation has been called by the user. Any
  /// records that were processed before the cancel command are output as
  /// specified in the request.
  core.String state;

  /// The time when the batch request was submitted to the server.
  core.String submitTime;

  BatchOperationMetadata();

  BatchOperationMetadata.fromJson(core.Map _json) {
    if (_json.containsKey('endTime')) {
      endTime = _json['endTime'] as core.String;
    }
    if (_json.containsKey('state')) {
      state = _json['state'] as core.String;
    }
    if (_json.containsKey('submitTime')) {
      submitTime = _json['submitTime'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (endTime != null) {
      _json['endTime'] = endTime;
    }
    if (state != null) {
      _json['state'] = state;
    }
    if (submitTime != null) {
      _json['submitTime'] = submitTime;
    }
    return _json;
  }
}

/// Logical element on the page.
class Block {
  /// Detected block type (text, image etc) for this block.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown block type.
  /// - "TEXT" : Regular text block.
  /// - "TABLE" : Table block.
  /// - "PICTURE" : Image block.
  /// - "RULER" : Horizontal/vertical line box.
  /// - "BARCODE" : Barcode block.
  core.String blockType;

  /// The bounding box for the block. The vertices are in the order of top-left,
  /// top-right, bottom-right, bottom-left. When a rotation of the bounding box
  /// is detected the rotation is represented as around the top-left corner as
  /// defined when the text is read in the 'natural' orientation. For example: *
  /// when the text is horizontal it might look like: 0----1 | | 3----2 * when
  /// it's rotated 180 degrees around the top-left corner it becomes: 2----3 | |
  /// 1----0 and the vertex order will still be (0, 1, 2, 3).
  BoundingPoly boundingBox;

  /// Confidence of the OCR results on the block. Range [0, 1].
  core.double confidence;

  /// List of paragraphs in this block (if this blocks is of type text).
  core.List<Paragraph> paragraphs;

  /// Additional information detected for the block.
  TextProperty property;

  Block();

  Block.fromJson(core.Map _json) {
    if (_json.containsKey('blockType')) {
      blockType = _json['blockType'] as core.String;
    }
    if (_json.containsKey('boundingBox')) {
      boundingBox = BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('paragraphs')) {
      paragraphs = (_json['paragraphs'] as core.List)
          .map<Paragraph>((value) => Paragraph.fromJson(value))
          .toList();
    }
    if (_json.containsKey('property')) {
      property = TextProperty.fromJson(_json['property']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (blockType != null) {
      _json['blockType'] = blockType;
    }
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (paragraphs != null) {
      _json['paragraphs'] = paragraphs.map((value) => value.toJson()).toList();
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    return _json;
  }
}

/// A bounding polygon for the detected image annotation.
class BoundingPoly {
  /// The bounding polygon normalized vertices.
  core.List<NormalizedVertex> normalizedVertices;

  /// The bounding polygon vertices.
  core.List<Vertex> vertices;

  BoundingPoly();

  BoundingPoly.fromJson(core.Map _json) {
    if (_json.containsKey('normalizedVertices')) {
      normalizedVertices = (_json['normalizedVertices'] as core.List)
          .map<NormalizedVertex>((value) => NormalizedVertex.fromJson(value))
          .toList();
    }
    if (_json.containsKey('vertices')) {
      vertices = (_json['vertices'] as core.List)
          .map<Vertex>((value) => Vertex.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (normalizedVertices != null) {
      _json['normalizedVertices'] =
          normalizedVertices.map((value) => value.toJson()).toList();
    }
    if (vertices != null) {
      _json['vertices'] = vertices.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// The request message for Operations.CancelOperation.
class CancelOperationRequest {
  CancelOperationRequest();

  CancelOperationRequest.fromJson(
      // ignore: avoid_unused_constructor_parameters
      core.Map _json);

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

/// Represents a color in the RGBA color space. This representation is designed
/// for simplicity of conversion to/from color representations in various
/// languages over compactness; for example, the fields of this representation
/// can be trivially provided to the constructor of "java.awt.Color" in Java; it
/// can also be trivially provided to UIColor's "+colorWithRed:green:blue:alpha"
/// method in iOS; and, with just a little work, it can be easily formatted into
/// a CSS "rgba()" string in JavaScript, as well. Note: this proto does not
/// carry information about the absolute color space that should be used to
/// interpret the RGB value (e.g. sRGB, Adobe RGB, DCI-P3, BT.2020, etc.). By
/// default, applications SHOULD assume the sRGB color space. Note: when color
/// equality needs to be decided, implementations, unless documented otherwise,
/// will treat two colors to be equal if all their red, green, blue and alpha
/// values each differ by at most 1e-5. Example (Java): import
/// com.google.type.Color; // ... public static java.awt.Color fromProto(Color
/// protocolor) { float alpha = protocolor.hasAlpha() ?
/// protocolor.getAlpha().getValue() : 1.0; return new java.awt.Color(
/// protocolor.getRed(), protocolor.getGreen(), protocolor.getBlue(), alpha); }
/// public static Color toProto(java.awt.Color color) { float red = (float)
/// color.getRed(); float green = (float) color.getGreen(); float blue = (float)
/// color.getBlue(); float denominator = 255.0; Color.Builder resultBuilder =
/// Color .newBuilder() .setRed(red / denominator) .setGreen(green /
/// denominator) .setBlue(blue / denominator); int alpha = color.getAlpha(); if
/// (alpha != 255) { result.setAlpha( FloatValue .newBuilder()
/// .setValue(((float) alpha) / denominator) .build()); } return
/// resultBuilder.build(); } // ... Example (iOS / Obj-C): // ... static
/// UIColor* fromProto(Color* protocolor) { float red = [protocolor red]; float
/// green = [protocolor green]; float blue = [protocolor blue]; FloatValue*
/// alpha_wrapper = [protocolor alpha]; float alpha = 1.0; if (alpha_wrapper !=
/// nil) { alpha = [alpha_wrapper value]; } return [UIColor colorWithRed:red
/// green:green blue:blue alpha:alpha]; } static Color* toProto(UIColor* color)
/// { CGFloat red, green, blue, alpha; if (![color getRed:&red green:&green
/// blue:&blue alpha:&alpha]) { return nil; } Color* result = [[Color alloc]
/// init]; [result setRed:red]; [result setGreen:green]; [result setBlue:blue];
/// if (alpha <= 0.9999) { [result setAlpha:floatWrapperWithValue(alpha)]; }
/// [result autorelease]; return result; } // ... Example (JavaScript): // ...
/// var protoToCssColor = function(rgb_color) { var redFrac = rgb_color.red ||
/// 0.0; var greenFrac = rgb_color.green || 0.0; var blueFrac = rgb_color.blue
/// || 0.0; var red = Math.floor(redFrac * 255); var green =
/// Math.floor(greenFrac * 255); var blue = Math.floor(blueFrac * 255); if
/// (!('alpha' in rgb_color)) { return rgbToCssColor_(red, green, blue); } var
/// alphaFrac = rgb_color.alpha.value || 0.0; var rgbParams = [red, green,
/// blue].join(','); return ['rgba(', rgbParams, ',', alphaFrac, ')'].join('');
/// }; var rgbToCssColor_ = function(red, green, blue) { var rgbNumber = new
/// Number((red << 16) | (green << 8) | blue); var hexString =
/// rgbNumber.toString(16); var missingZeros = 6 - hexString.length; var
/// resultBuilder = ['#']; for (var i = 0; i < missingZeros; i++) {
/// resultBuilder.push('0'); } resultBuilder.push(hexString); return
/// resultBuilder.join(''); }; // ...
class Color {
  /// The fraction of this color that should be applied to the pixel. That is,
  /// the final pixel color is defined by the equation: pixel color = alpha *
  /// (this color) + (1.0 - alpha) * (background color) This means that a value
  /// of 1.0 corresponds to a solid color, whereas a value of 0.0 corresponds to
  /// a completely transparent color. This uses a wrapper message rather than a
  /// simple float scalar so that it is possible to distinguish between a
  /// default value and the value being unset. If omitted, this color object is
  /// to be rendered as a solid color (as if the alpha value had been explicitly
  /// given with a value of 1.0).
  core.double alpha;

  /// The amount of blue in the color as a value in the interval [0, 1].
  core.double blue;

  /// The amount of green in the color as a value in the interval [0, 1].
  core.double green;

  /// The amount of red in the color as a value in the interval [0, 1].
  core.double red;

  Color();

  Color.fromJson(core.Map _json) {
    if (_json.containsKey('alpha')) {
      alpha = (_json['alpha'] as core.num).toDouble();
    }
    if (_json.containsKey('blue')) {
      blue = (_json['blue'] as core.num).toDouble();
    }
    if (_json.containsKey('green')) {
      green = (_json['green'] as core.num).toDouble();
    }
    if (_json.containsKey('red')) {
      red = (_json['red'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (alpha != null) {
      _json['alpha'] = alpha;
    }
    if (blue != null) {
      _json['blue'] = blue;
    }
    if (green != null) {
      _json['green'] = green;
    }
    if (red != null) {
      _json['red'] = red;
    }
    return _json;
  }
}

/// Color information consists of RGB channels, score, and the fraction of the
/// image that the color occupies in the image.
class ColorInfo {
  /// RGB components of the color.
  Color color;

  /// The fraction of pixels the color occupies in the image. Value in range [0,
  /// 1].
  core.double pixelFraction;

  /// Image-specific score for this color. Value in range [0, 1].
  core.double score;

  ColorInfo();

  ColorInfo.fromJson(core.Map _json) {
    if (_json.containsKey('color')) {
      color = Color.fromJson(_json['color']);
    }
    if (_json.containsKey('pixelFraction')) {
      pixelFraction = (_json['pixelFraction'] as core.num).toDouble();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (color != null) {
      _json['color'] = color.toJson();
    }
    if (pixelFraction != null) {
      _json['pixelFraction'] = pixelFraction;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Single crop hint that is used to generate a new crop when serving an image.
class CropHint {
  /// The bounding polygon for the crop region. The coordinates of the bounding
  /// box are in the original image's scale.
  BoundingPoly boundingPoly;

  /// Confidence of this being a salient region. Range [0, 1].
  core.double confidence;

  /// Fraction of importance of this salient region with respect to the original
  /// image.
  core.double importanceFraction;

  CropHint();

  CropHint.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = BoundingPoly.fromJson(_json['boundingPoly']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('importanceFraction')) {
      importanceFraction = (_json['importanceFraction'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (importanceFraction != null) {
      _json['importanceFraction'] = importanceFraction;
    }
    return _json;
  }
}

/// Set of crop hints that are used to generate new crops when serving images.
class CropHintsAnnotation {
  /// Crop hint results.
  core.List<CropHint> cropHints;

  CropHintsAnnotation();

  CropHintsAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('cropHints')) {
      cropHints = (_json['cropHints'] as core.List)
          .map<CropHint>((value) => CropHint.fromJson(value))
          .toList();
    }
  }

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

/// Parameters for crop hints annotation request.
class CropHintsParams {
  /// Aspect ratios in floats, representing the ratio of the width to the height
  /// of the image. For example, if the desired aspect ratio is 4/3, the
  /// corresponding float value should be 1.33333. If not specified, the best
  /// possible crop is returned. The number of provided aspect ratios is limited
  /// to a maximum of 16; any aspect ratios provided after the 16th are ignored.
  core.List<core.double> aspectRatios;

  CropHintsParams();

  CropHintsParams.fromJson(core.Map _json) {
    if (_json.containsKey('aspectRatios')) {
      aspectRatios = (_json['aspectRatios'] as core.List)
          .map<core.double>((value) => (value as core.num).toDouble())
          .toList();
    }
  }

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

/// Detected start or end of a structural component.
class DetectedBreak {
  /// True if break prepends the element.
  core.bool isPrefix;

  /// Detected break type.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown break label type.
  /// - "SPACE" : Regular space.
  /// - "SURE_SPACE" : Sure space (very wide).
  /// - "EOL_SURE_SPACE" : Line-wrapping break.
  /// - "HYPHEN" : End-line hyphen that is not present in text; does not
  /// co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.
  /// - "LINE_BREAK" : Line break that ends a paragraph.
  core.String type;

  DetectedBreak();

  DetectedBreak.fromJson(core.Map _json) {
    if (_json.containsKey('isPrefix')) {
      isPrefix = _json['isPrefix'] as core.bool;
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// Detected language for a structural component.
class DetectedLanguage {
  /// Confidence of detected language. Range [0, 1].
  core.double confidence;

  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  DetectedLanguage();

  DetectedLanguage.fromJson(core.Map _json) {
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    return _json;
  }
}

/// Set of dominant colors and their corresponding scores.
class DominantColorsAnnotation {
  /// RGB color values with their score and pixel fraction.
  core.List<ColorInfo> colors;

  DominantColorsAnnotation();

  DominantColorsAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('colors')) {
      colors = (_json['colors'] as core.List)
          .map<ColorInfo>((value) => ColorInfo.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (colors != null) {
      _json['colors'] = colors.map((value) => value.toJson()).toList();
    }
    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 Empty {
  Empty();

  Empty.fromJson(
      // ignore: avoid_unused_constructor_parameters
      core.Map _json);

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

/// Set of detected entity features.
class EntityAnnotation {
  /// Image region to which this entity belongs. Not produced for
  /// `LABEL_DETECTION` features.
  BoundingPoly boundingPoly;

  /// **Deprecated. Use `score` instead.** The accuracy of the entity detection
  /// in an image. For example, for an image in which the "Eiffel Tower" entity
  /// is detected, this field represents the confidence that there is a tower in
  /// the query image. Range [0, 1].
  core.double confidence;

  /// Entity textual description, expressed in its `locale` language.
  core.String description;

  /// The language code for the locale in which the entity textual `description`
  /// is expressed.
  core.String locale;

  /// The location information for the detected entity. Multiple `LocationInfo`
  /// elements can be present because one location may indicate the location of
  /// the scene in the image, and another location may indicate the location of
  /// the place where the image was taken. Location information is usually
  /// present for landmarks.
  core.List<LocationInfo> locations;

  /// Opaque entity ID. Some IDs may be available in [Google Knowledge Graph
  /// Search API](https://developers.google.com/knowledge-graph/).
  core.String mid;

  /// Some entities may have optional user-supplied `Property` (name/value)
  /// fields, such a score or string that qualifies the entity.
  core.List<Property> properties;

  /// Overall score of the result. Range [0, 1].
  core.double score;

  /// The relevancy of the ICA (Image Content Annotation) label to the image.
  /// For example, the relevancy of "tower" is likely higher to an image
  /// containing the detected "Eiffel Tower" than to an image containing a
  /// detected distant towering building, even though the confidence that there
  /// is a tower in each image may be the same. Range [0, 1].
  core.double topicality;

  EntityAnnotation();

  EntityAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = BoundingPoly.fromJson(_json['boundingPoly']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('locale')) {
      locale = _json['locale'] as core.String;
    }
    if (_json.containsKey('locations')) {
      locations = (_json['locations'] as core.List)
          .map<LocationInfo>((value) => LocationInfo.fromJson(value))
          .toList();
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('properties')) {
      properties = (_json['properties'] as core.List)
          .map<Property>((value) => Property.fromJson(value))
          .toList();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('topicality')) {
      topicality = (_json['topicality'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (description != null) {
      _json['description'] = description;
    }
    if (locale != null) {
      _json['locale'] = locale;
    }
    if (locations != null) {
      _json['locations'] = locations.map((value) => value.toJson()).toList();
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (properties != null) {
      _json['properties'] = properties.map((value) => value.toJson()).toList();
    }
    if (score != null) {
      _json['score'] = score;
    }
    if (topicality != null) {
      _json['topicality'] = topicality;
    }
    return _json;
  }
}

/// A face annotation object contains the results of face detection.
class FaceAnnotation {
  /// Anger likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String angerLikelihood;

  /// Blurred likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String blurredLikelihood;

  /// The bounding polygon around the face. The coordinates of the bounding box
  /// are in the original image's scale. The bounding box is computed to "frame"
  /// the face in accordance with human expectations. It is based on the
  /// landmarker results. Note that one or more x and/or y coordinates may not
  /// be generated in the `BoundingPoly` (the polygon will be unbounded) if only
  /// a partial face appears in the image to be annotated.
  BoundingPoly boundingPoly;

  /// Detection confidence. Range [0, 1].
  core.double detectionConfidence;

  /// The `fd_bounding_poly` bounding polygon is tighter than the
  /// `boundingPoly`, and encloses only the skin part of the face. Typically, it
  /// is used to eliminate the face from any image analysis that detects the
  /// "amount of skin" visible in an image. It is not based on the landmarker
  /// results, only on the initial face detection, hence the fd (face detection)
  /// prefix.
  BoundingPoly fdBoundingPoly;

  /// Headwear likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String headwearLikelihood;

  /// Joy likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String joyLikelihood;

  /// Face landmarking confidence. Range [0, 1].
  core.double landmarkingConfidence;

  /// Detected face landmarks.
  core.List<Landmark> landmarks;

  /// Yaw angle, which indicates the leftward/rightward angle that the face is
  /// pointing relative to the vertical plane perpendicular to the image. Range
  /// [-180,180].
  core.double panAngle;

  /// Roll angle, which indicates the amount of clockwise/anti-clockwise
  /// rotation of the face relative to the image vertical about the axis
  /// perpendicular to the face. Range [-180,180].
  core.double rollAngle;

  /// Sorrow likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String sorrowLikelihood;

  /// Surprise likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String surpriseLikelihood;

  /// Pitch angle, which indicates the upwards/downwards angle that the face is
  /// pointing relative to the image's horizontal plane. Range [-180,180].
  core.double tiltAngle;

  /// Under-exposed likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String underExposedLikelihood;

  FaceAnnotation();

  FaceAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('angerLikelihood')) {
      angerLikelihood = _json['angerLikelihood'] as core.String;
    }
    if (_json.containsKey('blurredLikelihood')) {
      blurredLikelihood = _json['blurredLikelihood'] as core.String;
    }
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = BoundingPoly.fromJson(_json['boundingPoly']);
    }
    if (_json.containsKey('detectionConfidence')) {
      detectionConfidence =
          (_json['detectionConfidence'] as core.num).toDouble();
    }
    if (_json.containsKey('fdBoundingPoly')) {
      fdBoundingPoly = BoundingPoly.fromJson(_json['fdBoundingPoly']);
    }
    if (_json.containsKey('headwearLikelihood')) {
      headwearLikelihood = _json['headwearLikelihood'] as core.String;
    }
    if (_json.containsKey('joyLikelihood')) {
      joyLikelihood = _json['joyLikelihood'] as core.String;
    }
    if (_json.containsKey('landmarkingConfidence')) {
      landmarkingConfidence =
          (_json['landmarkingConfidence'] as core.num).toDouble();
    }
    if (_json.containsKey('landmarks')) {
      landmarks = (_json['landmarks'] as core.List)
          .map<Landmark>((value) => Landmark.fromJson(value))
          .toList();
    }
    if (_json.containsKey('panAngle')) {
      panAngle = (_json['panAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('rollAngle')) {
      rollAngle = (_json['rollAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('sorrowLikelihood')) {
      sorrowLikelihood = _json['sorrowLikelihood'] as core.String;
    }
    if (_json.containsKey('surpriseLikelihood')) {
      surpriseLikelihood = _json['surpriseLikelihood'] as core.String;
    }
    if (_json.containsKey('tiltAngle')) {
      tiltAngle = (_json['tiltAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('underExposedLikelihood')) {
      underExposedLikelihood = _json['underExposedLikelihood'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (angerLikelihood != null) {
      _json['angerLikelihood'] = angerLikelihood;
    }
    if (blurredLikelihood != null) {
      _json['blurredLikelihood'] = blurredLikelihood;
    }
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (detectionConfidence != null) {
      _json['detectionConfidence'] = detectionConfidence;
    }
    if (fdBoundingPoly != null) {
      _json['fdBoundingPoly'] = fdBoundingPoly.toJson();
    }
    if (headwearLikelihood != null) {
      _json['headwearLikelihood'] = headwearLikelihood;
    }
    if (joyLikelihood != null) {
      _json['joyLikelihood'] = joyLikelihood;
    }
    if (landmarkingConfidence != null) {
      _json['landmarkingConfidence'] = landmarkingConfidence;
    }
    if (landmarks != null) {
      _json['landmarks'] = landmarks.map((value) => value.toJson()).toList();
    }
    if (panAngle != null) {
      _json['panAngle'] = panAngle;
    }
    if (rollAngle != null) {
      _json['rollAngle'] = rollAngle;
    }
    if (sorrowLikelihood != null) {
      _json['sorrowLikelihood'] = sorrowLikelihood;
    }
    if (surpriseLikelihood != null) {
      _json['surpriseLikelihood'] = surpriseLikelihood;
    }
    if (tiltAngle != null) {
      _json['tiltAngle'] = tiltAngle;
    }
    if (underExposedLikelihood != null) {
      _json['underExposedLikelihood'] = underExposedLikelihood;
    }
    return _json;
  }
}

/// The type of Google Cloud Vision API detection to perform, and the maximum
/// number of results to return for that type. Multiple `Feature` objects can be
/// specified in the `features` list.
class Feature {
  /// Maximum number of results of this type. Does not apply to
  /// `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, or `CROP_HINTS`.
  core.int maxResults;

  /// Model to use for the feature. Supported values: "builtin/stable" (the
  /// default if unset) and "builtin/latest".
  core.String model;

  /// The feature type.
  /// Possible string values are:
  /// - "TYPE_UNSPECIFIED" : Unspecified feature type.
  /// - "FACE_DETECTION" : Run face detection.
  /// - "LANDMARK_DETECTION" : Run landmark detection.
  /// - "LOGO_DETECTION" : Run logo detection.
  /// - "LABEL_DETECTION" : Run label detection.
  /// - "TEXT_DETECTION" : Run text detection / optical character recognition
  /// (OCR). Text detection is optimized for areas of text within a larger
  /// image; if the image is a document, use `DOCUMENT_TEXT_DETECTION` instead.
  /// - "DOCUMENT_TEXT_DETECTION" : Run dense text document OCR. Takes
  /// precedence when both `DOCUMENT_TEXT_DETECTION` and `TEXT_DETECTION` are
  /// present.
  /// - "SAFE_SEARCH_DETECTION" : Run Safe Search to detect potentially unsafe
  /// or undesirable content.
  /// - "IMAGE_PROPERTIES" : Compute a set of image properties, such as the
  /// image's dominant colors.
  /// - "CROP_HINTS" : Run crop hints.
  /// - "WEB_DETECTION" : Run web detection.
  /// - "PRODUCT_SEARCH" : Run Product Search.
  /// - "OBJECT_LOCALIZATION" : Run localizer for object detection.
  core.String type;

  Feature();

  Feature.fromJson(core.Map _json) {
    if (_json.containsKey('maxResults')) {
      maxResults = _json['maxResults'] as core.int;
    }
    if (_json.containsKey('model')) {
      model = _json['model'] as core.String;
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// The Google Cloud Storage location where the output will be written to.
class GcsDestination {
  /// Google Cloud Storage URI prefix where the results will be stored. Results
  /// will be in JSON format and preceded by its corresponding input URI prefix.
  /// This field can either represent a gcs file prefix or gcs directory. In
  /// either case, the uri should be unique because in order to get all of the
  /// output files, you will need to do a wildcard gcs search on the uri prefix
  /// you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix
  /// The output files will be created in gs://bucket-name/here/ and the names
  /// of the output files will begin with "filenameprefix". * Directory Prefix:
  /// gs://bucket-name/some/location/ The output files will be created in
  /// gs://bucket-name/some/location/ and the names of the output files could be
  /// anything because there was no filename prefix specified. If multiple
  /// outputs, each response is still AnnotateFileResponse, each of which
  /// contains some subset of the full list of AnnotateImageResponse. Multiple
  /// outputs can happen if, for example, the output JSON is too large and
  /// overflows into multiple sharded files.
  core.String uri;

  GcsDestination();

  GcsDestination.fromJson(core.Map _json) {
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// The Google Cloud Storage location where the input will be read from.
class GcsSource {
  /// Google Cloud Storage URI for the input file. This must only be a Google
  /// Cloud Storage object. Wildcards are not currently supported.
  core.String uri;

  GcsSource();

  GcsSource.fromJson(core.Map _json) {
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// Response to a single file annotation request. A file may contain one or more
/// images, which individually have their own responses.
class GoogleCloudVisionV1p1beta1AnnotateFileResponse {
  /// If set, represents the error message for the failed request. The
  /// `responses` field will not be set in this case.
  Status error;

  /// Information about the file for which this response is generated.
  GoogleCloudVisionV1p1beta1InputConfig inputConfig;

  /// Individual responses to images found within the file. This field will be
  /// empty if the `error` field is set.
  core.List<GoogleCloudVisionV1p1beta1AnnotateImageResponse> responses;

  /// This field gives the total number of pages in the file.
  core.int totalPages;

  GoogleCloudVisionV1p1beta1AnnotateFileResponse();

  GoogleCloudVisionV1p1beta1AnnotateFileResponse.fromJson(core.Map _json) {
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('inputConfig')) {
      inputConfig =
          GoogleCloudVisionV1p1beta1InputConfig.fromJson(_json['inputConfig']);
    }
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<GoogleCloudVisionV1p1beta1AnnotateImageResponse>((value) =>
              GoogleCloudVisionV1p1beta1AnnotateImageResponse.fromJson(value))
          .toList();
    }
    if (_json.containsKey('totalPages')) {
      totalPages = _json['totalPages'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (error != null) {
      _json['error'] = error.toJson();
    }
    if (inputConfig != null) {
      _json['inputConfig'] = inputConfig.toJson();
    }
    if (responses != null) {
      _json['responses'] = responses.map((value) => value.toJson()).toList();
    }
    if (totalPages != null) {
      _json['totalPages'] = totalPages;
    }
    return _json;
  }
}

/// Response to an image annotation request.
class GoogleCloudVisionV1p1beta1AnnotateImageResponse {
  /// If present, contextual information is needed to understand where this
  /// image comes from.
  GoogleCloudVisionV1p1beta1ImageAnnotationContext context;

  /// If present, crop hints have completed successfully.
  GoogleCloudVisionV1p1beta1CropHintsAnnotation cropHintsAnnotation;

  /// If set, represents the error message for the operation. Note that
  /// filled-in image annotations are guaranteed to be correct, even when
  /// `error` is set.
  Status error;

  /// If present, face detection has completed successfully.
  core.List<GoogleCloudVisionV1p1beta1FaceAnnotation> faceAnnotations;

  /// If present, text (OCR) detection or document (OCR) text detection has
  /// completed successfully. This annotation provides the structural hierarchy
  /// for the OCR detected text.
  GoogleCloudVisionV1p1beta1TextAnnotation fullTextAnnotation;

  /// If present, image properties were extracted successfully.
  GoogleCloudVisionV1p1beta1ImageProperties imagePropertiesAnnotation;

  /// If present, label detection has completed successfully.
  core.List<GoogleCloudVisionV1p1beta1EntityAnnotation> labelAnnotations;

  /// If present, landmark detection has completed successfully.
  core.List<GoogleCloudVisionV1p1beta1EntityAnnotation> landmarkAnnotations;

  /// If present, localized object detection has completed successfully. This
  /// will be sorted descending by confidence score.
  core.List<GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation>
      localizedObjectAnnotations;

  /// If present, logo detection has completed successfully.
  core.List<GoogleCloudVisionV1p1beta1EntityAnnotation> logoAnnotations;

  /// If present, product search has completed successfully.
  GoogleCloudVisionV1p1beta1ProductSearchResults productSearchResults;

  /// If present, safe-search annotation has completed successfully.
  GoogleCloudVisionV1p1beta1SafeSearchAnnotation safeSearchAnnotation;

  /// If present, text (OCR) detection has completed successfully.
  core.List<GoogleCloudVisionV1p1beta1EntityAnnotation> textAnnotations;

  /// If present, web detection has completed successfully.
  GoogleCloudVisionV1p1beta1WebDetection webDetection;

  GoogleCloudVisionV1p1beta1AnnotateImageResponse();

  GoogleCloudVisionV1p1beta1AnnotateImageResponse.fromJson(core.Map _json) {
    if (_json.containsKey('context')) {
      context = GoogleCloudVisionV1p1beta1ImageAnnotationContext.fromJson(
          _json['context']);
    }
    if (_json.containsKey('cropHintsAnnotation')) {
      cropHintsAnnotation =
          GoogleCloudVisionV1p1beta1CropHintsAnnotation.fromJson(
              _json['cropHintsAnnotation']);
    }
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('faceAnnotations')) {
      faceAnnotations = (_json['faceAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p1beta1FaceAnnotation>((value) =>
              GoogleCloudVisionV1p1beta1FaceAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('fullTextAnnotation')) {
      fullTextAnnotation = GoogleCloudVisionV1p1beta1TextAnnotation.fromJson(
          _json['fullTextAnnotation']);
    }
    if (_json.containsKey('imagePropertiesAnnotation')) {
      imagePropertiesAnnotation =
          GoogleCloudVisionV1p1beta1ImageProperties.fromJson(
              _json['imagePropertiesAnnotation']);
    }
    if (_json.containsKey('labelAnnotations')) {
      labelAnnotations = (_json['labelAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p1beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p1beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('landmarkAnnotations')) {
      landmarkAnnotations = (_json['landmarkAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p1beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p1beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('localizedObjectAnnotations')) {
      localizedObjectAnnotations = (_json['localizedObjectAnnotations']
              as core.List)
          .map<GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation>((value) =>
              GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation.fromJson(
                  value))
          .toList();
    }
    if (_json.containsKey('logoAnnotations')) {
      logoAnnotations = (_json['logoAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p1beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p1beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('productSearchResults')) {
      productSearchResults =
          GoogleCloudVisionV1p1beta1ProductSearchResults.fromJson(
              _json['productSearchResults']);
    }
    if (_json.containsKey('safeSearchAnnotation')) {
      safeSearchAnnotation =
          GoogleCloudVisionV1p1beta1SafeSearchAnnotation.fromJson(
              _json['safeSearchAnnotation']);
    }
    if (_json.containsKey('textAnnotations')) {
      textAnnotations = (_json['textAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p1beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p1beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('webDetection')) {
      webDetection = GoogleCloudVisionV1p1beta1WebDetection.fromJson(
          _json['webDetection']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (context != null) {
      _json['context'] = context.toJson();
    }
    if (cropHintsAnnotation != null) {
      _json['cropHintsAnnotation'] = cropHintsAnnotation.toJson();
    }
    if (error != null) {
      _json['error'] = error.toJson();
    }
    if (faceAnnotations != null) {
      _json['faceAnnotations'] =
          faceAnnotations.map((value) => value.toJson()).toList();
    }
    if (fullTextAnnotation != null) {
      _json['fullTextAnnotation'] = fullTextAnnotation.toJson();
    }
    if (imagePropertiesAnnotation != null) {
      _json['imagePropertiesAnnotation'] = imagePropertiesAnnotation.toJson();
    }
    if (labelAnnotations != null) {
      _json['labelAnnotations'] =
          labelAnnotations.map((value) => value.toJson()).toList();
    }
    if (landmarkAnnotations != null) {
      _json['landmarkAnnotations'] =
          landmarkAnnotations.map((value) => value.toJson()).toList();
    }
    if (localizedObjectAnnotations != null) {
      _json['localizedObjectAnnotations'] =
          localizedObjectAnnotations.map((value) => value.toJson()).toList();
    }
    if (logoAnnotations != null) {
      _json['logoAnnotations'] =
          logoAnnotations.map((value) => value.toJson()).toList();
    }
    if (productSearchResults != null) {
      _json['productSearchResults'] = productSearchResults.toJson();
    }
    if (safeSearchAnnotation != null) {
      _json['safeSearchAnnotation'] = safeSearchAnnotation.toJson();
    }
    if (textAnnotations != null) {
      _json['textAnnotations'] =
          textAnnotations.map((value) => value.toJson()).toList();
    }
    if (webDetection != null) {
      _json['webDetection'] = webDetection.toJson();
    }
    return _json;
  }
}

/// The response for a single offline file annotation request.
class GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse {
  /// The output location and metadata from AsyncAnnotateFileRequest.
  GoogleCloudVisionV1p1beta1OutputConfig outputConfig;

  GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse();

  GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse.fromJson(core.Map _json) {
    if (_json.containsKey('outputConfig')) {
      outputConfig = GoogleCloudVisionV1p1beta1OutputConfig.fromJson(
          _json['outputConfig']);
    }
  }

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

/// Response to an async batch file annotation request.
class GoogleCloudVisionV1p1beta1AsyncBatchAnnotateFilesResponse {
  /// The list of file annotation responses, one for each request in
  /// AsyncBatchAnnotateFilesRequest.
  core.List<GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse> responses;

  GoogleCloudVisionV1p1beta1AsyncBatchAnnotateFilesResponse();

  GoogleCloudVisionV1p1beta1AsyncBatchAnnotateFilesResponse.fromJson(
      core.Map _json) {
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse>((value) =>
              GoogleCloudVisionV1p1beta1AsyncAnnotateFileResponse.fromJson(
                  value))
          .toList();
    }
  }

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

/// Logical element on the page.
class GoogleCloudVisionV1p1beta1Block {
  /// Detected block type (text, image etc) for this block.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown block type.
  /// - "TEXT" : Regular text block.
  /// - "TABLE" : Table block.
  /// - "PICTURE" : Image block.
  /// - "RULER" : Horizontal/vertical line box.
  /// - "BARCODE" : Barcode block.
  core.String blockType;

  /// The bounding box for the block. The vertices are in the order of top-left,
  /// top-right, bottom-right, bottom-left. When a rotation of the bounding box
  /// is detected the rotation is represented as around the top-left corner as
  /// defined when the text is read in the 'natural' orientation. For example: *
  /// when the text is horizontal it might look like: 0----1 | | 3----2 * when
  /// it's rotated 180 degrees around the top-left corner it becomes: 2----3 | |
  /// 1----0 and the vertex order will still be (0, 1, 2, 3).
  GoogleCloudVisionV1p1beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results on the block. Range [0, 1].
  core.double confidence;

  /// List of paragraphs in this block (if this blocks is of type text).
  core.List<GoogleCloudVisionV1p1beta1Paragraph> paragraphs;

  /// Additional information detected for the block.
  GoogleCloudVisionV1p1beta1TextAnnotationTextProperty property;

  GoogleCloudVisionV1p1beta1Block();

  GoogleCloudVisionV1p1beta1Block.fromJson(core.Map _json) {
    if (_json.containsKey('blockType')) {
      blockType = _json['blockType'] as core.String;
    }
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('paragraphs')) {
      paragraphs = (_json['paragraphs'] as core.List)
          .map<GoogleCloudVisionV1p1beta1Paragraph>(
              (value) => GoogleCloudVisionV1p1beta1Paragraph.fromJson(value))
          .toList();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p1beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (blockType != null) {
      _json['blockType'] = blockType;
    }
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (paragraphs != null) {
      _json['paragraphs'] = paragraphs.map((value) => value.toJson()).toList();
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    return _json;
  }
}

/// A bounding polygon for the detected image annotation.
class GoogleCloudVisionV1p1beta1BoundingPoly {
  /// The bounding polygon normalized vertices.
  core.List<GoogleCloudVisionV1p1beta1NormalizedVertex> normalizedVertices;

  /// The bounding polygon vertices.
  core.List<GoogleCloudVisionV1p1beta1Vertex> vertices;

  GoogleCloudVisionV1p1beta1BoundingPoly();

  GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(core.Map _json) {
    if (_json.containsKey('normalizedVertices')) {
      normalizedVertices = (_json['normalizedVertices'] as core.List)
          .map<GoogleCloudVisionV1p1beta1NormalizedVertex>((value) =>
              GoogleCloudVisionV1p1beta1NormalizedVertex.fromJson(value))
          .toList();
    }
    if (_json.containsKey('vertices')) {
      vertices = (_json['vertices'] as core.List)
          .map<GoogleCloudVisionV1p1beta1Vertex>(
              (value) => GoogleCloudVisionV1p1beta1Vertex.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (normalizedVertices != null) {
      _json['normalizedVertices'] =
          normalizedVertices.map((value) => value.toJson()).toList();
    }
    if (vertices != null) {
      _json['vertices'] = vertices.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Color information consists of RGB channels, score, and the fraction of the
/// image that the color occupies in the image.
class GoogleCloudVisionV1p1beta1ColorInfo {
  /// RGB components of the color.
  Color color;

  /// The fraction of pixels the color occupies in the image. Value in range [0,
  /// 1].
  core.double pixelFraction;

  /// Image-specific score for this color. Value in range [0, 1].
  core.double score;

  GoogleCloudVisionV1p1beta1ColorInfo();

  GoogleCloudVisionV1p1beta1ColorInfo.fromJson(core.Map _json) {
    if (_json.containsKey('color')) {
      color = Color.fromJson(_json['color']);
    }
    if (_json.containsKey('pixelFraction')) {
      pixelFraction = (_json['pixelFraction'] as core.num).toDouble();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (color != null) {
      _json['color'] = color.toJson();
    }
    if (pixelFraction != null) {
      _json['pixelFraction'] = pixelFraction;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Single crop hint that is used to generate a new crop when serving an image.
class GoogleCloudVisionV1p1beta1CropHint {
  /// The bounding polygon for the crop region. The coordinates of the bounding
  /// box are in the original image's scale.
  GoogleCloudVisionV1p1beta1BoundingPoly boundingPoly;

  /// Confidence of this being a salient region. Range [0, 1].
  core.double confidence;

  /// Fraction of importance of this salient region with respect to the original
  /// image.
  core.double importanceFraction;

  GoogleCloudVisionV1p1beta1CropHint();

  GoogleCloudVisionV1p1beta1CropHint.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('importanceFraction')) {
      importanceFraction = (_json['importanceFraction'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (importanceFraction != null) {
      _json['importanceFraction'] = importanceFraction;
    }
    return _json;
  }
}

/// Set of crop hints that are used to generate new crops when serving images.
class GoogleCloudVisionV1p1beta1CropHintsAnnotation {
  /// Crop hint results.
  core.List<GoogleCloudVisionV1p1beta1CropHint> cropHints;

  GoogleCloudVisionV1p1beta1CropHintsAnnotation();

  GoogleCloudVisionV1p1beta1CropHintsAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('cropHints')) {
      cropHints = (_json['cropHints'] as core.List)
          .map<GoogleCloudVisionV1p1beta1CropHint>(
              (value) => GoogleCloudVisionV1p1beta1CropHint.fromJson(value))
          .toList();
    }
  }

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

/// Set of dominant colors and their corresponding scores.
class GoogleCloudVisionV1p1beta1DominantColorsAnnotation {
  /// RGB color values with their score and pixel fraction.
  core.List<GoogleCloudVisionV1p1beta1ColorInfo> colors;

  GoogleCloudVisionV1p1beta1DominantColorsAnnotation();

  GoogleCloudVisionV1p1beta1DominantColorsAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('colors')) {
      colors = (_json['colors'] as core.List)
          .map<GoogleCloudVisionV1p1beta1ColorInfo>(
              (value) => GoogleCloudVisionV1p1beta1ColorInfo.fromJson(value))
          .toList();
    }
  }

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

/// Set of detected entity features.
class GoogleCloudVisionV1p1beta1EntityAnnotation {
  /// Image region to which this entity belongs. Not produced for
  /// `LABEL_DETECTION` features.
  GoogleCloudVisionV1p1beta1BoundingPoly boundingPoly;

  /// **Deprecated. Use `score` instead.** The accuracy of the entity detection
  /// in an image. For example, for an image in which the "Eiffel Tower" entity
  /// is detected, this field represents the confidence that there is a tower in
  /// the query image. Range [0, 1].
  core.double confidence;

  /// Entity textual description, expressed in its `locale` language.
  core.String description;

  /// The language code for the locale in which the entity textual `description`
  /// is expressed.
  core.String locale;

  /// The location information for the detected entity. Multiple `LocationInfo`
  /// elements can be present because one location may indicate the location of
  /// the scene in the image, and another location may indicate the location of
  /// the place where the image was taken. Location information is usually
  /// present for landmarks.
  core.List<GoogleCloudVisionV1p1beta1LocationInfo> locations;

  /// Opaque entity ID. Some IDs may be available in [Google Knowledge Graph
  /// Search API](https://developers.google.com/knowledge-graph/).
  core.String mid;

  /// Some entities may have optional user-supplied `Property` (name/value)
  /// fields, such a score or string that qualifies the entity.
  core.List<GoogleCloudVisionV1p1beta1Property> properties;

  /// Overall score of the result. Range [0, 1].
  core.double score;

  /// The relevancy of the ICA (Image Content Annotation) label to the image.
  /// For example, the relevancy of "tower" is likely higher to an image
  /// containing the detected "Eiffel Tower" than to an image containing a
  /// detected distant towering building, even though the confidence that there
  /// is a tower in each image may be the same. Range [0, 1].
  core.double topicality;

  GoogleCloudVisionV1p1beta1EntityAnnotation();

  GoogleCloudVisionV1p1beta1EntityAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('locale')) {
      locale = _json['locale'] as core.String;
    }
    if (_json.containsKey('locations')) {
      locations = (_json['locations'] as core.List)
          .map<GoogleCloudVisionV1p1beta1LocationInfo>(
              (value) => GoogleCloudVisionV1p1beta1LocationInfo.fromJson(value))
          .toList();
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('properties')) {
      properties = (_json['properties'] as core.List)
          .map<GoogleCloudVisionV1p1beta1Property>(
              (value) => GoogleCloudVisionV1p1beta1Property.fromJson(value))
          .toList();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('topicality')) {
      topicality = (_json['topicality'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (description != null) {
      _json['description'] = description;
    }
    if (locale != null) {
      _json['locale'] = locale;
    }
    if (locations != null) {
      _json['locations'] = locations.map((value) => value.toJson()).toList();
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (properties != null) {
      _json['properties'] = properties.map((value) => value.toJson()).toList();
    }
    if (score != null) {
      _json['score'] = score;
    }
    if (topicality != null) {
      _json['topicality'] = topicality;
    }
    return _json;
  }
}

/// A face annotation object contains the results of face detection.
class GoogleCloudVisionV1p1beta1FaceAnnotation {
  /// Anger likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String angerLikelihood;

  /// Blurred likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String blurredLikelihood;

  /// The bounding polygon around the face. The coordinates of the bounding box
  /// are in the original image's scale. The bounding box is computed to "frame"
  /// the face in accordance with human expectations. It is based on the
  /// landmarker results. Note that one or more x and/or y coordinates may not
  /// be generated in the `BoundingPoly` (the polygon will be unbounded) if only
  /// a partial face appears in the image to be annotated.
  GoogleCloudVisionV1p1beta1BoundingPoly boundingPoly;

  /// Detection confidence. Range [0, 1].
  core.double detectionConfidence;

  /// The `fd_bounding_poly` bounding polygon is tighter than the
  /// `boundingPoly`, and encloses only the skin part of the face. Typically, it
  /// is used to eliminate the face from any image analysis that detects the
  /// "amount of skin" visible in an image. It is not based on the landmarker
  /// results, only on the initial face detection, hence the fd (face detection)
  /// prefix.
  GoogleCloudVisionV1p1beta1BoundingPoly fdBoundingPoly;

  /// Headwear likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String headwearLikelihood;

  /// Joy likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String joyLikelihood;

  /// Face landmarking confidence. Range [0, 1].
  core.double landmarkingConfidence;

  /// Detected face landmarks.
  core.List<GoogleCloudVisionV1p1beta1FaceAnnotationLandmark> landmarks;

  /// Yaw angle, which indicates the leftward/rightward angle that the face is
  /// pointing relative to the vertical plane perpendicular to the image. Range
  /// [-180,180].
  core.double panAngle;

  /// Roll angle, which indicates the amount of clockwise/anti-clockwise
  /// rotation of the face relative to the image vertical about the axis
  /// perpendicular to the face. Range [-180,180].
  core.double rollAngle;

  /// Sorrow likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String sorrowLikelihood;

  /// Surprise likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String surpriseLikelihood;

  /// Pitch angle, which indicates the upwards/downwards angle that the face is
  /// pointing relative to the image's horizontal plane. Range [-180,180].
  core.double tiltAngle;

  /// Under-exposed likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String underExposedLikelihood;

  GoogleCloudVisionV1p1beta1FaceAnnotation();

  GoogleCloudVisionV1p1beta1FaceAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('angerLikelihood')) {
      angerLikelihood = _json['angerLikelihood'] as core.String;
    }
    if (_json.containsKey('blurredLikelihood')) {
      blurredLikelihood = _json['blurredLikelihood'] as core.String;
    }
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('detectionConfidence')) {
      detectionConfidence =
          (_json['detectionConfidence'] as core.num).toDouble();
    }
    if (_json.containsKey('fdBoundingPoly')) {
      fdBoundingPoly = GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(
          _json['fdBoundingPoly']);
    }
    if (_json.containsKey('headwearLikelihood')) {
      headwearLikelihood = _json['headwearLikelihood'] as core.String;
    }
    if (_json.containsKey('joyLikelihood')) {
      joyLikelihood = _json['joyLikelihood'] as core.String;
    }
    if (_json.containsKey('landmarkingConfidence')) {
      landmarkingConfidence =
          (_json['landmarkingConfidence'] as core.num).toDouble();
    }
    if (_json.containsKey('landmarks')) {
      landmarks = (_json['landmarks'] as core.List)
          .map<GoogleCloudVisionV1p1beta1FaceAnnotationLandmark>((value) =>
              GoogleCloudVisionV1p1beta1FaceAnnotationLandmark.fromJson(value))
          .toList();
    }
    if (_json.containsKey('panAngle')) {
      panAngle = (_json['panAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('rollAngle')) {
      rollAngle = (_json['rollAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('sorrowLikelihood')) {
      sorrowLikelihood = _json['sorrowLikelihood'] as core.String;
    }
    if (_json.containsKey('surpriseLikelihood')) {
      surpriseLikelihood = _json['surpriseLikelihood'] as core.String;
    }
    if (_json.containsKey('tiltAngle')) {
      tiltAngle = (_json['tiltAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('underExposedLikelihood')) {
      underExposedLikelihood = _json['underExposedLikelihood'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (angerLikelihood != null) {
      _json['angerLikelihood'] = angerLikelihood;
    }
    if (blurredLikelihood != null) {
      _json['blurredLikelihood'] = blurredLikelihood;
    }
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (detectionConfidence != null) {
      _json['detectionConfidence'] = detectionConfidence;
    }
    if (fdBoundingPoly != null) {
      _json['fdBoundingPoly'] = fdBoundingPoly.toJson();
    }
    if (headwearLikelihood != null) {
      _json['headwearLikelihood'] = headwearLikelihood;
    }
    if (joyLikelihood != null) {
      _json['joyLikelihood'] = joyLikelihood;
    }
    if (landmarkingConfidence != null) {
      _json['landmarkingConfidence'] = landmarkingConfidence;
    }
    if (landmarks != null) {
      _json['landmarks'] = landmarks.map((value) => value.toJson()).toList();
    }
    if (panAngle != null) {
      _json['panAngle'] = panAngle;
    }
    if (rollAngle != null) {
      _json['rollAngle'] = rollAngle;
    }
    if (sorrowLikelihood != null) {
      _json['sorrowLikelihood'] = sorrowLikelihood;
    }
    if (surpriseLikelihood != null) {
      _json['surpriseLikelihood'] = surpriseLikelihood;
    }
    if (tiltAngle != null) {
      _json['tiltAngle'] = tiltAngle;
    }
    if (underExposedLikelihood != null) {
      _json['underExposedLikelihood'] = underExposedLikelihood;
    }
    return _json;
  }
}

/// A face-specific landmark (for example, a face feature).
class GoogleCloudVisionV1p1beta1FaceAnnotationLandmark {
  /// Face landmark position.
  GoogleCloudVisionV1p1beta1Position position;

  /// Face landmark type.
  /// Possible string values are:
  /// - "UNKNOWN_LANDMARK" : Unknown face landmark detected. Should not be
  /// filled.
  /// - "LEFT_EYE" : Left eye.
  /// - "RIGHT_EYE" : Right eye.
  /// - "LEFT_OF_LEFT_EYEBROW" : Left of left eyebrow.
  /// - "RIGHT_OF_LEFT_EYEBROW" : Right of left eyebrow.
  /// - "LEFT_OF_RIGHT_EYEBROW" : Left of right eyebrow.
  /// - "RIGHT_OF_RIGHT_EYEBROW" : Right of right eyebrow.
  /// - "MIDPOINT_BETWEEN_EYES" : Midpoint between eyes.
  /// - "NOSE_TIP" : Nose tip.
  /// - "UPPER_LIP" : Upper lip.
  /// - "LOWER_LIP" : Lower lip.
  /// - "MOUTH_LEFT" : Mouth left.
  /// - "MOUTH_RIGHT" : Mouth right.
  /// - "MOUTH_CENTER" : Mouth center.
  /// - "NOSE_BOTTOM_RIGHT" : Nose, bottom right.
  /// - "NOSE_BOTTOM_LEFT" : Nose, bottom left.
  /// - "NOSE_BOTTOM_CENTER" : Nose, bottom center.
  /// - "LEFT_EYE_TOP_BOUNDARY" : Left eye, top boundary.
  /// - "LEFT_EYE_RIGHT_CORNER" : Left eye, right corner.
  /// - "LEFT_EYE_BOTTOM_BOUNDARY" : Left eye, bottom boundary.
  /// - "LEFT_EYE_LEFT_CORNER" : Left eye, left corner.
  /// - "RIGHT_EYE_TOP_BOUNDARY" : Right eye, top boundary.
  /// - "RIGHT_EYE_RIGHT_CORNER" : Right eye, right corner.
  /// - "RIGHT_EYE_BOTTOM_BOUNDARY" : Right eye, bottom boundary.
  /// - "RIGHT_EYE_LEFT_CORNER" : Right eye, left corner.
  /// - "LEFT_EYEBROW_UPPER_MIDPOINT" : Left eyebrow, upper midpoint.
  /// - "RIGHT_EYEBROW_UPPER_MIDPOINT" : Right eyebrow, upper midpoint.
  /// - "LEFT_EAR_TRAGION" : Left ear tragion.
  /// - "RIGHT_EAR_TRAGION" : Right ear tragion.
  /// - "LEFT_EYE_PUPIL" : Left eye pupil.
  /// - "RIGHT_EYE_PUPIL" : Right eye pupil.
  /// - "FOREHEAD_GLABELLA" : Forehead glabella.
  /// - "CHIN_GNATHION" : Chin gnathion.
  /// - "CHIN_LEFT_GONION" : Chin left gonion.
  /// - "CHIN_RIGHT_GONION" : Chin right gonion.
  /// - "LEFT_CHEEK_CENTER" : Left cheek center.
  /// - "RIGHT_CHEEK_CENTER" : Right cheek center.
  core.String type;

  GoogleCloudVisionV1p1beta1FaceAnnotationLandmark();

  GoogleCloudVisionV1p1beta1FaceAnnotationLandmark.fromJson(core.Map _json) {
    if (_json.containsKey('position')) {
      position = GoogleCloudVisionV1p1beta1Position.fromJson(_json['position']);
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// The Google Cloud Storage location where the output will be written to.
class GoogleCloudVisionV1p1beta1GcsDestination {
  /// Google Cloud Storage URI prefix where the results will be stored. Results
  /// will be in JSON format and preceded by its corresponding input URI prefix.
  /// This field can either represent a gcs file prefix or gcs directory. In
  /// either case, the uri should be unique because in order to get all of the
  /// output files, you will need to do a wildcard gcs search on the uri prefix
  /// you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix
  /// The output files will be created in gs://bucket-name/here/ and the names
  /// of the output files will begin with "filenameprefix". * Directory Prefix:
  /// gs://bucket-name/some/location/ The output files will be created in
  /// gs://bucket-name/some/location/ and the names of the output files could be
  /// anything because there was no filename prefix specified. If multiple
  /// outputs, each response is still AnnotateFileResponse, each of which
  /// contains some subset of the full list of AnnotateImageResponse. Multiple
  /// outputs can happen if, for example, the output JSON is too large and
  /// overflows into multiple sharded files.
  core.String uri;

  GoogleCloudVisionV1p1beta1GcsDestination();

  GoogleCloudVisionV1p1beta1GcsDestination.fromJson(core.Map _json) {
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// The Google Cloud Storage location where the input will be read from.
class GoogleCloudVisionV1p1beta1GcsSource {
  /// Google Cloud Storage URI for the input file. This must only be a Google
  /// Cloud Storage object. Wildcards are not currently supported.
  core.String uri;

  GoogleCloudVisionV1p1beta1GcsSource();

  GoogleCloudVisionV1p1beta1GcsSource.fromJson(core.Map _json) {
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// If an image was produced from a file (e.g. a PDF), this message gives
/// information about the source of that image.
class GoogleCloudVisionV1p1beta1ImageAnnotationContext {
  /// If the file was a PDF or TIFF, this field gives the page number within the
  /// file used to produce the image.
  core.int pageNumber;

  /// The URI of the file used to produce the image.
  core.String uri;

  GoogleCloudVisionV1p1beta1ImageAnnotationContext();

  GoogleCloudVisionV1p1beta1ImageAnnotationContext.fromJson(core.Map _json) {
    if (_json.containsKey('pageNumber')) {
      pageNumber = _json['pageNumber'] as core.int;
    }
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pageNumber != null) {
      _json['pageNumber'] = pageNumber;
    }
    if (uri != null) {
      _json['uri'] = uri;
    }
    return _json;
  }
}

/// Stores image properties, such as dominant colors.
class GoogleCloudVisionV1p1beta1ImageProperties {
  /// If present, dominant colors completed successfully.
  GoogleCloudVisionV1p1beta1DominantColorsAnnotation dominantColors;

  GoogleCloudVisionV1p1beta1ImageProperties();

  GoogleCloudVisionV1p1beta1ImageProperties.fromJson(core.Map _json) {
    if (_json.containsKey('dominantColors')) {
      dominantColors =
          GoogleCloudVisionV1p1beta1DominantColorsAnnotation.fromJson(
              _json['dominantColors']);
    }
  }

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

/// The desired input location and metadata.
class GoogleCloudVisionV1p1beta1InputConfig {
  /// File content, represented as a stream of bytes. Note: As with all `bytes`
  /// fields, protobuffers use a pure binary representation, whereas JSON
  /// representations use base64. Currently, this field only works for
  /// BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles
  /// requests.
  core.String content;
  core.List<core.int> get contentAsBytes => convert.base64.decode(content);

  set contentAsBytes(core.List<core.int> _bytes) {
    content =
        convert.base64.encode(_bytes).replaceAll('/', '_').replaceAll('+', '-');
  }

  /// The Google Cloud Storage location to read the input from.
  GoogleCloudVisionV1p1beta1GcsSource gcsSource;

  /// The type of the file. Currently only "application/pdf", "image/tiff" and
  /// "image/gif" are supported. Wildcards are not supported.
  core.String mimeType;

  GoogleCloudVisionV1p1beta1InputConfig();

  GoogleCloudVisionV1p1beta1InputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('content')) {
      content = _json['content'] as core.String;
    }
    if (_json.containsKey('gcsSource')) {
      gcsSource =
          GoogleCloudVisionV1p1beta1GcsSource.fromJson(_json['gcsSource']);
    }
    if (_json.containsKey('mimeType')) {
      mimeType = _json['mimeType'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (content != null) {
      _json['content'] = content;
    }
    if (gcsSource != null) {
      _json['gcsSource'] = gcsSource.toJson();
    }
    if (mimeType != null) {
      _json['mimeType'] = mimeType;
    }
    return _json;
  }
}

/// Set of detected objects with bounding boxes.
class GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation {
  /// Image region to which this object belongs. This must be populated.
  GoogleCloudVisionV1p1beta1BoundingPoly boundingPoly;

  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  /// Object ID that should align with EntityAnnotation mid.
  core.String mid;

  /// Object name, expressed in its `language_code` language.
  core.String name;

  /// Score of the result. Range [0, 1].
  core.double score;

  GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation();

  GoogleCloudVisionV1p1beta1LocalizedObjectAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Detected entity location information.
class GoogleCloudVisionV1p1beta1LocationInfo {
  /// lat/long location coordinates.
  LatLng latLng;

  GoogleCloudVisionV1p1beta1LocationInfo();

  GoogleCloudVisionV1p1beta1LocationInfo.fromJson(core.Map _json) {
    if (_json.containsKey('latLng')) {
      latLng = LatLng.fromJson(_json['latLng']);
    }
  }

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

/// A vertex represents a 2D point in the image. NOTE: the normalized vertex
/// coordinates are relative to the original image and range from 0 to 1.
class GoogleCloudVisionV1p1beta1NormalizedVertex {
  /// X coordinate.
  core.double x;

  /// Y coordinate.
  core.double y;

  GoogleCloudVisionV1p1beta1NormalizedVertex();

  GoogleCloudVisionV1p1beta1NormalizedVertex.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = (_json['x'] as core.num).toDouble();
    }
    if (_json.containsKey('y')) {
      y = (_json['y'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    return _json;
  }
}

/// Contains metadata for the BatchAnnotateImages operation.
class GoogleCloudVisionV1p1beta1OperationMetadata {
  /// The time when the batch request was received.
  core.String createTime;

  /// Current state of the batch operation.
  /// Possible string values are:
  /// - "STATE_UNSPECIFIED" : Invalid.
  /// - "CREATED" : Request is received.
  /// - "RUNNING" : Request is actively being processed.
  /// - "DONE" : The batch processing is done.
  /// - "CANCELLED" : The batch processing was cancelled.
  core.String state;

  /// The time when the operation result was last updated.
  core.String updateTime;

  GoogleCloudVisionV1p1beta1OperationMetadata();

  GoogleCloudVisionV1p1beta1OperationMetadata.fromJson(core.Map _json) {
    if (_json.containsKey('createTime')) {
      createTime = _json['createTime'] as core.String;
    }
    if (_json.containsKey('state')) {
      state = _json['state'] as core.String;
    }
    if (_json.containsKey('updateTime')) {
      updateTime = _json['updateTime'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (createTime != null) {
      _json['createTime'] = createTime;
    }
    if (state != null) {
      _json['state'] = state;
    }
    if (updateTime != null) {
      _json['updateTime'] = updateTime;
    }
    return _json;
  }
}

/// The desired output location and metadata.
class GoogleCloudVisionV1p1beta1OutputConfig {
  /// The max number of response protos to put into each output JSON file on
  /// Google Cloud Storage. The valid range is [1, 100]. If not specified, the
  /// default value is 20. For example, for one pdf file with 100 pages, 100
  /// response protos will be generated. If `batch_size` = 20, then 5 json files
  /// each containing 20 response protos will be written under the prefix
  /// `gcs_destination`.`uri`. Currently, batch_size only applies to
  /// GcsDestination, with potential future support for other output
  /// configurations.
  core.int batchSize;

  /// The Google Cloud Storage location to write the output(s) to.
  GoogleCloudVisionV1p1beta1GcsDestination gcsDestination;

  GoogleCloudVisionV1p1beta1OutputConfig();

  GoogleCloudVisionV1p1beta1OutputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('batchSize')) {
      batchSize = _json['batchSize'] as core.int;
    }
    if (_json.containsKey('gcsDestination')) {
      gcsDestination = GoogleCloudVisionV1p1beta1GcsDestination.fromJson(
          _json['gcsDestination']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (batchSize != null) {
      _json['batchSize'] = batchSize;
    }
    if (gcsDestination != null) {
      _json['gcsDestination'] = gcsDestination.toJson();
    }
    return _json;
  }
}

/// Detected page from OCR.
class GoogleCloudVisionV1p1beta1Page {
  /// List of blocks of text, images etc on this page.
  core.List<GoogleCloudVisionV1p1beta1Block> blocks;

  /// Confidence of the OCR results on the page. Range [0, 1].
  core.double confidence;

  /// Page height. For PDFs the unit is points. For images (including TIFFs) the
  /// unit is pixels.
  core.int height;

  /// Additional information detected on the page.
  GoogleCloudVisionV1p1beta1TextAnnotationTextProperty property;

  /// Page width. For PDFs the unit is points. For images (including TIFFs) the
  /// unit is pixels.
  core.int width;

  GoogleCloudVisionV1p1beta1Page();

  GoogleCloudVisionV1p1beta1Page.fromJson(core.Map _json) {
    if (_json.containsKey('blocks')) {
      blocks = (_json['blocks'] as core.List)
          .map<GoogleCloudVisionV1p1beta1Block>(
              (value) => GoogleCloudVisionV1p1beta1Block.fromJson(value))
          .toList();
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('height')) {
      height = _json['height'] as core.int;
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p1beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('width')) {
      width = _json['width'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (blocks != null) {
      _json['blocks'] = blocks.map((value) => value.toJson()).toList();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (height != null) {
      _json['height'] = height;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (width != null) {
      _json['width'] = width;
    }
    return _json;
  }
}

/// Structural unit of text representing a number of words in certain order.
class GoogleCloudVisionV1p1beta1Paragraph {
  /// The bounding box for the paragraph. The vertices are in the order of
  /// top-left, top-right, bottom-right, bottom-left. When a rotation of the
  /// bounding box is detected the rotation is represented as around the
  /// top-left corner as defined when the text is read in the 'natural'
  /// orientation. For example: * when the text is horizontal it might look
  /// like: 0----1 | | 3----2 * when it's rotated 180 degrees around the
  /// top-left corner it becomes: 2----3 | | 1----0 and the vertex order will
  /// still be (0, 1, 2, 3).
  GoogleCloudVisionV1p1beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the paragraph. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the paragraph.
  GoogleCloudVisionV1p1beta1TextAnnotationTextProperty property;

  /// List of all words in this paragraph.
  core.List<GoogleCloudVisionV1p1beta1Word> words;

  GoogleCloudVisionV1p1beta1Paragraph();

  GoogleCloudVisionV1p1beta1Paragraph.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p1beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('words')) {
      words = (_json['words'] as core.List)
          .map<GoogleCloudVisionV1p1beta1Word>(
              (value) => GoogleCloudVisionV1p1beta1Word.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (words != null) {
      _json['words'] = words.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A 3D position in the image, used primarily for Face detection landmarks. A
/// valid Position must have both x and y coordinates. The position coordinates
/// are in the same scale as the original image.
class GoogleCloudVisionV1p1beta1Position {
  /// X coordinate.
  core.double x;

  /// Y coordinate.
  core.double y;

  /// Z coordinate (or depth).
  core.double z;

  GoogleCloudVisionV1p1beta1Position();

  GoogleCloudVisionV1p1beta1Position.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = (_json['x'] as core.num).toDouble();
    }
    if (_json.containsKey('y')) {
      y = (_json['y'] as core.num).toDouble();
    }
    if (_json.containsKey('z')) {
      z = (_json['z'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    if (z != null) {
      _json['z'] = z;
    }
    return _json;
  }
}

/// A Product contains ReferenceImages.
class GoogleCloudVisionV1p1beta1Product {
  /// User-provided metadata to be stored with this product. Must be at most
  /// 4096 characters long.
  core.String description;

  /// The user-provided name for this Product. Must not be empty. Must be at
  /// most 4096 characters long.
  core.String displayName;

  /// The resource name of the product. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is
  /// ignored when creating a product.
  core.String name;

  /// Immutable. The category for the product identified by the reference image.
  /// This should be one of "homegoods-v2", "apparel-v2", "toys-v2",
  /// "packagedgoods-v1" or "general-v1". The legacy categories "homegoods",
  /// "apparel", and "toys" are still supported, but these should not be used
  /// for new products.
  core.String productCategory;

  /// Key-value pairs that can be attached to a product. At query time,
  /// constraints can be specified based on the product_labels. Note that
  /// integer values can be provided as strings, e.g. "1199". Only strings with
  /// integer values can match a range-based restriction which is to be
  /// supported soon. Multiple values can be assigned to the same key. One
  /// product may have up to 500 product_labels. Notice that the total number of
  /// distinct product_labels over all products in one ProductSet cannot exceed
  /// 1M, otherwise the product search pipeline will refuse to work for that
  /// ProductSet.
  core.List<GoogleCloudVisionV1p1beta1ProductKeyValue> productLabels;

  GoogleCloudVisionV1p1beta1Product();

  GoogleCloudVisionV1p1beta1Product.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('displayName')) {
      displayName = _json['displayName'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('productCategory')) {
      productCategory = _json['productCategory'] as core.String;
    }
    if (_json.containsKey('productLabels')) {
      productLabels = (_json['productLabels'] as core.List)
          .map<GoogleCloudVisionV1p1beta1ProductKeyValue>((value) =>
              GoogleCloudVisionV1p1beta1ProductKeyValue.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (displayName != null) {
      _json['displayName'] = displayName;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (productCategory != null) {
      _json['productCategory'] = productCategory;
    }
    if (productLabels != null) {
      _json['productLabels'] =
          productLabels.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A product label represented as a key-value pair.
class GoogleCloudVisionV1p1beta1ProductKeyValue {
  /// The key of the label attached to the product. Cannot be empty and cannot
  /// exceed 128 bytes.
  core.String key;

  /// The value of the label attached to the product. Cannot be empty and cannot
  /// exceed 128 bytes.
  core.String value;

  GoogleCloudVisionV1p1beta1ProductKeyValue();

  GoogleCloudVisionV1p1beta1ProductKeyValue.fromJson(core.Map _json) {
    if (_json.containsKey('key')) {
      key = _json['key'] as core.String;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (key != null) {
      _json['key'] = key;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// Results for a product search request.
class GoogleCloudVisionV1p1beta1ProductSearchResults {
  /// Timestamp of the index which provided these results. Products added to the
  /// product set and products removed from the product set after this time are
  /// not reflected in the current results.
  core.String indexTime;

  /// List of results grouped by products detected in the query image. Each
  /// entry corresponds to one bounding polygon in the query image, and contains
  /// the matching products specific to that region. There may be duplicate
  /// product matches in the union of all the per-product results.
  core.List<GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult>
      productGroupedResults;

  /// List of results, one for each product match.
  core.List<GoogleCloudVisionV1p1beta1ProductSearchResultsResult> results;

  GoogleCloudVisionV1p1beta1ProductSearchResults();

  GoogleCloudVisionV1p1beta1ProductSearchResults.fromJson(core.Map _json) {
    if (_json.containsKey('indexTime')) {
      indexTime = _json['indexTime'] as core.String;
    }
    if (_json.containsKey('productGroupedResults')) {
      productGroupedResults = (_json['productGroupedResults'] as core.List)
          .map<GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult>(
              (value) =>
                  GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult
                      .fromJson(value))
          .toList();
    }
    if (_json.containsKey('results')) {
      results = (_json['results'] as core.List)
          .map<GoogleCloudVisionV1p1beta1ProductSearchResultsResult>((value) =>
              GoogleCloudVisionV1p1beta1ProductSearchResultsResult.fromJson(
                  value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (indexTime != null) {
      _json['indexTime'] = indexTime;
    }
    if (productGroupedResults != null) {
      _json['productGroupedResults'] =
          productGroupedResults.map((value) => value.toJson()).toList();
    }
    if (results != null) {
      _json['results'] = results.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Information about the products similar to a single product in a query image.
class GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult {
  /// The bounding polygon around the product detected in the query image.
  GoogleCloudVisionV1p1beta1BoundingPoly boundingPoly;

  /// List of generic predictions for the object in the bounding box.
  core.List<GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation>
      objectAnnotations;

  /// List of results, one for each product match.
  core.List<GoogleCloudVisionV1p1beta1ProductSearchResultsResult> results;

  GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult();

  GoogleCloudVisionV1p1beta1ProductSearchResultsGroupedResult.fromJson(
      core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('objectAnnotations')) {
      objectAnnotations = (_json['objectAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation>(
              (value) =>
                  GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation
                      .fromJson(value))
          .toList();
    }
    if (_json.containsKey('results')) {
      results = (_json['results'] as core.List)
          .map<GoogleCloudVisionV1p1beta1ProductSearchResultsResult>((value) =>
              GoogleCloudVisionV1p1beta1ProductSearchResultsResult.fromJson(
                  value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (objectAnnotations != null) {
      _json['objectAnnotations'] =
          objectAnnotations.map((value) => value.toJson()).toList();
    }
    if (results != null) {
      _json['results'] = results.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Prediction for what the object in the bounding box is.
class GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation {
  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  /// Object ID that should align with EntityAnnotation mid.
  core.String mid;

  /// Object name, expressed in its `language_code` language.
  core.String name;

  /// Score of the result. Range [0, 1].
  core.double score;

  GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation();

  GoogleCloudVisionV1p1beta1ProductSearchResultsObjectAnnotation.fromJson(
      core.Map _json) {
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Information about a product.
class GoogleCloudVisionV1p1beta1ProductSearchResultsResult {
  /// The resource name of the image from the product that is the closest match
  /// to the query.
  core.String image;

  /// The Product.
  GoogleCloudVisionV1p1beta1Product product;

  /// A confidence level on the match, ranging from 0 (no confidence) to 1 (full
  /// confidence).
  core.double score;

  GoogleCloudVisionV1p1beta1ProductSearchResultsResult();

  GoogleCloudVisionV1p1beta1ProductSearchResultsResult.fromJson(
      core.Map _json) {
    if (_json.containsKey('image')) {
      image = _json['image'] as core.String;
    }
    if (_json.containsKey('product')) {
      product = GoogleCloudVisionV1p1beta1Product.fromJson(_json['product']);
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (image != null) {
      _json['image'] = image;
    }
    if (product != null) {
      _json['product'] = product.toJson();
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// A `Property` consists of a user-supplied name/value pair.
class GoogleCloudVisionV1p1beta1Property {
  /// Name of the property.
  core.String name;

  /// Value of numeric properties.
  core.String uint64Value;

  /// Value of the property.
  core.String value;

  GoogleCloudVisionV1p1beta1Property();

  GoogleCloudVisionV1p1beta1Property.fromJson(core.Map _json) {
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('uint64Value')) {
      uint64Value = _json['uint64Value'] as core.String;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (name != null) {
      _json['name'] = name;
    }
    if (uint64Value != null) {
      _json['uint64Value'] = uint64Value;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// Set of features pertaining to the image, computed by computer vision methods
/// over safe-search verticals (for example, adult, spoof, medical, violence).
class GoogleCloudVisionV1p1beta1SafeSearchAnnotation {
  /// Represents the adult content likelihood for the image. Adult content may
  /// contain elements such as nudity, pornographic images or cartoons, or
  /// sexual activities.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String adult;

  /// Likelihood that this is a medical image.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String medical;

  /// Likelihood that the request image contains racy content. Racy content may
  /// include (but is not limited to) skimpy or sheer clothing, strategically
  /// covered nudity, lewd or provocative poses, or close-ups of sensitive body
  /// areas.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String racy;

  /// Spoof likelihood. The likelihood that an modification was made to the
  /// image's canonical version to make it appear funny or offensive.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String spoof;

  /// Likelihood that this image contains violent content.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String violence;

  GoogleCloudVisionV1p1beta1SafeSearchAnnotation();

  GoogleCloudVisionV1p1beta1SafeSearchAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('adult')) {
      adult = _json['adult'] as core.String;
    }
    if (_json.containsKey('medical')) {
      medical = _json['medical'] as core.String;
    }
    if (_json.containsKey('racy')) {
      racy = _json['racy'] as core.String;
    }
    if (_json.containsKey('spoof')) {
      spoof = _json['spoof'] as core.String;
    }
    if (_json.containsKey('violence')) {
      violence = _json['violence'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (adult != null) {
      _json['adult'] = adult;
    }
    if (medical != null) {
      _json['medical'] = medical;
    }
    if (racy != null) {
      _json['racy'] = racy;
    }
    if (spoof != null) {
      _json['spoof'] = spoof;
    }
    if (violence != null) {
      _json['violence'] = violence;
    }
    return _json;
  }
}

/// A single symbol representation.
class GoogleCloudVisionV1p1beta1Symbol {
  /// The bounding box for the symbol. The vertices are in the order of
  /// top-left, top-right, bottom-right, bottom-left. When a rotation of the
  /// bounding box is detected the rotation is represented as around the
  /// top-left corner as defined when the text is read in the 'natural'
  /// orientation. For example: * when the text is horizontal it might look
  /// like: 0----1 | | 3----2 * when it's rotated 180 degrees around the
  /// top-left corner it becomes: 2----3 | | 1----0 and the vertex order will
  /// still be (0, 1, 2, 3).
  GoogleCloudVisionV1p1beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the symbol. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the symbol.
  GoogleCloudVisionV1p1beta1TextAnnotationTextProperty property;

  /// The actual UTF-8 representation of the symbol.
  core.String text;

  GoogleCloudVisionV1p1beta1Symbol();

  GoogleCloudVisionV1p1beta1Symbol.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p1beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('text')) {
      text = _json['text'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (text != null) {
      _json['text'] = text;
    }
    return _json;
  }
}

/// TextAnnotation contains a structured representation of OCR extracted text.
/// The hierarchy of an OCR extracted text structure is like this:
/// TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each
/// structural component, starting from Page, may further have their own
/// properties. Properties describe detected languages, breaks etc.. Please
/// refer to the TextAnnotation.TextProperty message definition below for more
/// detail.
class GoogleCloudVisionV1p1beta1TextAnnotation {
  /// List of pages detected by OCR.
  core.List<GoogleCloudVisionV1p1beta1Page> pages;

  /// UTF-8 text detected on the pages.
  core.String text;

  GoogleCloudVisionV1p1beta1TextAnnotation();

  GoogleCloudVisionV1p1beta1TextAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('pages')) {
      pages = (_json['pages'] as core.List)
          .map<GoogleCloudVisionV1p1beta1Page>(
              (value) => GoogleCloudVisionV1p1beta1Page.fromJson(value))
          .toList();
    }
    if (_json.containsKey('text')) {
      text = _json['text'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pages != null) {
      _json['pages'] = pages.map((value) => value.toJson()).toList();
    }
    if (text != null) {
      _json['text'] = text;
    }
    return _json;
  }
}

/// Detected start or end of a structural component.
class GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak {
  /// True if break prepends the element.
  core.bool isPrefix;

  /// Detected break type.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown break label type.
  /// - "SPACE" : Regular space.
  /// - "SURE_SPACE" : Sure space (very wide).
  /// - "EOL_SURE_SPACE" : Line-wrapping break.
  /// - "HYPHEN" : End-line hyphen that is not present in text; does not
  /// co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.
  /// - "LINE_BREAK" : Line break that ends a paragraph.
  core.String type;

  GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak();

  GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak.fromJson(
      core.Map _json) {
    if (_json.containsKey('isPrefix')) {
      isPrefix = _json['isPrefix'] as core.bool;
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// Detected language for a structural component.
class GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage {
  /// Confidence of detected language. Range [0, 1].
  core.double confidence;

  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage();

  GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage.fromJson(
      core.Map _json) {
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    return _json;
  }
}

/// Additional information detected on the structural component.
class GoogleCloudVisionV1p1beta1TextAnnotationTextProperty {
  /// Detected start or end of a text segment.
  GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak detectedBreak;

  /// A list of detected languages together with confidence.
  core.List<GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage>
      detectedLanguages;

  GoogleCloudVisionV1p1beta1TextAnnotationTextProperty();

  GoogleCloudVisionV1p1beta1TextAnnotationTextProperty.fromJson(
      core.Map _json) {
    if (_json.containsKey('detectedBreak')) {
      detectedBreak =
          GoogleCloudVisionV1p1beta1TextAnnotationDetectedBreak.fromJson(
              _json['detectedBreak']);
    }
    if (_json.containsKey('detectedLanguages')) {
      detectedLanguages = (_json['detectedLanguages'] as core.List)
          .map<GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage>(
              (value) =>
                  GoogleCloudVisionV1p1beta1TextAnnotationDetectedLanguage
                      .fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (detectedBreak != null) {
      _json['detectedBreak'] = detectedBreak.toJson();
    }
    if (detectedLanguages != null) {
      _json['detectedLanguages'] =
          detectedLanguages.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A vertex represents a 2D point in the image. NOTE: the vertex coordinates
/// are in the same scale as the original image.
class GoogleCloudVisionV1p1beta1Vertex {
  /// X coordinate.
  core.int x;

  /// Y coordinate.
  core.int y;

  GoogleCloudVisionV1p1beta1Vertex();

  GoogleCloudVisionV1p1beta1Vertex.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = _json['x'] as core.int;
    }
    if (_json.containsKey('y')) {
      y = _json['y'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    return _json;
  }
}

/// Relevant information for the image from the Internet.
class GoogleCloudVisionV1p1beta1WebDetection {
  /// The service's best guess as to the topic of the request image. Inferred
  /// from similar images on the open web.
  core.List<GoogleCloudVisionV1p1beta1WebDetectionWebLabel> bestGuessLabels;

  /// Fully matching images from the Internet. Can include resized copies of the
  /// query image.
  core.List<GoogleCloudVisionV1p1beta1WebDetectionWebImage> fullMatchingImages;

  /// Web pages containing the matching images from the Internet.
  core.List<GoogleCloudVisionV1p1beta1WebDetectionWebPage>
      pagesWithMatchingImages;

  /// Partial matching images from the Internet. Those images are similar enough
  /// to share some key-point features. For example an original image will
  /// likely have partial matching for its crops.
  core.List<GoogleCloudVisionV1p1beta1WebDetectionWebImage>
      partialMatchingImages;

  /// The visually similar image results.
  core.List<GoogleCloudVisionV1p1beta1WebDetectionWebImage>
      visuallySimilarImages;

  /// Deduced entities from similar images on the Internet.
  core.List<GoogleCloudVisionV1p1beta1WebDetectionWebEntity> webEntities;

  GoogleCloudVisionV1p1beta1WebDetection();

  GoogleCloudVisionV1p1beta1WebDetection.fromJson(core.Map _json) {
    if (_json.containsKey('bestGuessLabels')) {
      bestGuessLabels = (_json['bestGuessLabels'] as core.List)
          .map<GoogleCloudVisionV1p1beta1WebDetectionWebLabel>((value) =>
              GoogleCloudVisionV1p1beta1WebDetectionWebLabel.fromJson(value))
          .toList();
    }
    if (_json.containsKey('fullMatchingImages')) {
      fullMatchingImages = (_json['fullMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p1beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p1beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('pagesWithMatchingImages')) {
      pagesWithMatchingImages = (_json['pagesWithMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p1beta1WebDetectionWebPage>((value) =>
              GoogleCloudVisionV1p1beta1WebDetectionWebPage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('partialMatchingImages')) {
      partialMatchingImages = (_json['partialMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p1beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p1beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('visuallySimilarImages')) {
      visuallySimilarImages = (_json['visuallySimilarImages'] as core.List)
          .map<GoogleCloudVisionV1p1beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p1beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('webEntities')) {
      webEntities = (_json['webEntities'] as core.List)
          .map<GoogleCloudVisionV1p1beta1WebDetectionWebEntity>((value) =>
              GoogleCloudVisionV1p1beta1WebDetectionWebEntity.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (bestGuessLabels != null) {
      _json['bestGuessLabels'] =
          bestGuessLabels.map((value) => value.toJson()).toList();
    }
    if (fullMatchingImages != null) {
      _json['fullMatchingImages'] =
          fullMatchingImages.map((value) => value.toJson()).toList();
    }
    if (pagesWithMatchingImages != null) {
      _json['pagesWithMatchingImages'] =
          pagesWithMatchingImages.map((value) => value.toJson()).toList();
    }
    if (partialMatchingImages != null) {
      _json['partialMatchingImages'] =
          partialMatchingImages.map((value) => value.toJson()).toList();
    }
    if (visuallySimilarImages != null) {
      _json['visuallySimilarImages'] =
          visuallySimilarImages.map((value) => value.toJson()).toList();
    }
    if (webEntities != null) {
      _json['webEntities'] =
          webEntities.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Entity deduced from similar images on the Internet.
class GoogleCloudVisionV1p1beta1WebDetectionWebEntity {
  /// Canonical description of the entity, in English.
  core.String description;

  /// Opaque entity ID.
  core.String entityId;

  /// Overall relevancy score for the entity. Not normalized and not comparable
  /// across different image queries.
  core.double score;

  GoogleCloudVisionV1p1beta1WebDetectionWebEntity();

  GoogleCloudVisionV1p1beta1WebDetectionWebEntity.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('entityId')) {
      entityId = _json['entityId'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (entityId != null) {
      _json['entityId'] = entityId;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Metadata for online images.
class GoogleCloudVisionV1p1beta1WebDetectionWebImage {
  /// (Deprecated) Overall relevancy score for the image.
  core.double score;

  /// The result image URL.
  core.String url;

  GoogleCloudVisionV1p1beta1WebDetectionWebImage();

  GoogleCloudVisionV1p1beta1WebDetectionWebImage.fromJson(core.Map _json) {
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('url')) {
      url = _json['url'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (score != null) {
      _json['score'] = score;
    }
    if (url != null) {
      _json['url'] = url;
    }
    return _json;
  }
}

/// Label to provide extra metadata for the web detection.
class GoogleCloudVisionV1p1beta1WebDetectionWebLabel {
  /// Label for extra metadata.
  core.String label;

  /// The BCP-47 language code for `label`, such as "en-US" or "sr-Latn". For
  /// more information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  GoogleCloudVisionV1p1beta1WebDetectionWebLabel();

  GoogleCloudVisionV1p1beta1WebDetectionWebLabel.fromJson(core.Map _json) {
    if (_json.containsKey('label')) {
      label = _json['label'] as core.String;
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (label != null) {
      _json['label'] = label;
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    return _json;
  }
}

/// Metadata for web pages.
class GoogleCloudVisionV1p1beta1WebDetectionWebPage {
  /// Fully matching images on the page. Can include resized copies of the query
  /// image.
  core.List<GoogleCloudVisionV1p1beta1WebDetectionWebImage> fullMatchingImages;

  /// Title for the web page, may contain HTML markups.
  core.String pageTitle;

  /// Partial matching images on the page. Those images are similar enough to
  /// share some key-point features. For example an original image will likely
  /// have partial matching for its crops.
  core.List<GoogleCloudVisionV1p1beta1WebDetectionWebImage>
      partialMatchingImages;

  /// (Deprecated) Overall relevancy score for the web page.
  core.double score;

  /// The result web page URL.
  core.String url;

  GoogleCloudVisionV1p1beta1WebDetectionWebPage();

  GoogleCloudVisionV1p1beta1WebDetectionWebPage.fromJson(core.Map _json) {
    if (_json.containsKey('fullMatchingImages')) {
      fullMatchingImages = (_json['fullMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p1beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p1beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('pageTitle')) {
      pageTitle = _json['pageTitle'] as core.String;
    }
    if (_json.containsKey('partialMatchingImages')) {
      partialMatchingImages = (_json['partialMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p1beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p1beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('url')) {
      url = _json['url'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (fullMatchingImages != null) {
      _json['fullMatchingImages'] =
          fullMatchingImages.map((value) => value.toJson()).toList();
    }
    if (pageTitle != null) {
      _json['pageTitle'] = pageTitle;
    }
    if (partialMatchingImages != null) {
      _json['partialMatchingImages'] =
          partialMatchingImages.map((value) => value.toJson()).toList();
    }
    if (score != null) {
      _json['score'] = score;
    }
    if (url != null) {
      _json['url'] = url;
    }
    return _json;
  }
}

/// A word representation.
class GoogleCloudVisionV1p1beta1Word {
  /// The bounding box for the word. The vertices are in the order of top-left,
  /// top-right, bottom-right, bottom-left. When a rotation of the bounding box
  /// is detected the rotation is represented as around the top-left corner as
  /// defined when the text is read in the 'natural' orientation. For example: *
  /// when the text is horizontal it might look like: 0----1 | | 3----2 * when
  /// it's rotated 180 degrees around the top-left corner it becomes: 2----3 | |
  /// 1----0 and the vertex order will still be (0, 1, 2, 3).
  GoogleCloudVisionV1p1beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the word. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the word.
  GoogleCloudVisionV1p1beta1TextAnnotationTextProperty property;

  /// List of symbols in the word. The order of the symbols follows the natural
  /// reading order.
  core.List<GoogleCloudVisionV1p1beta1Symbol> symbols;

  GoogleCloudVisionV1p1beta1Word();

  GoogleCloudVisionV1p1beta1Word.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p1beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p1beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('symbols')) {
      symbols = (_json['symbols'] as core.List)
          .map<GoogleCloudVisionV1p1beta1Symbol>(
              (value) => GoogleCloudVisionV1p1beta1Symbol.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (symbols != null) {
      _json['symbols'] = symbols.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Response to a single file annotation request. A file may contain one or more
/// images, which individually have their own responses.
class GoogleCloudVisionV1p2beta1AnnotateFileResponse {
  /// If set, represents the error message for the failed request. The
  /// `responses` field will not be set in this case.
  Status error;

  /// Information about the file for which this response is generated.
  GoogleCloudVisionV1p2beta1InputConfig inputConfig;

  /// Individual responses to images found within the file. This field will be
  /// empty if the `error` field is set.
  core.List<GoogleCloudVisionV1p2beta1AnnotateImageResponse> responses;

  /// This field gives the total number of pages in the file.
  core.int totalPages;

  GoogleCloudVisionV1p2beta1AnnotateFileResponse();

  GoogleCloudVisionV1p2beta1AnnotateFileResponse.fromJson(core.Map _json) {
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('inputConfig')) {
      inputConfig =
          GoogleCloudVisionV1p2beta1InputConfig.fromJson(_json['inputConfig']);
    }
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<GoogleCloudVisionV1p2beta1AnnotateImageResponse>((value) =>
              GoogleCloudVisionV1p2beta1AnnotateImageResponse.fromJson(value))
          .toList();
    }
    if (_json.containsKey('totalPages')) {
      totalPages = _json['totalPages'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (error != null) {
      _json['error'] = error.toJson();
    }
    if (inputConfig != null) {
      _json['inputConfig'] = inputConfig.toJson();
    }
    if (responses != null) {
      _json['responses'] = responses.map((value) => value.toJson()).toList();
    }
    if (totalPages != null) {
      _json['totalPages'] = totalPages;
    }
    return _json;
  }
}

/// Response to an image annotation request.
class GoogleCloudVisionV1p2beta1AnnotateImageResponse {
  /// If present, contextual information is needed to understand where this
  /// image comes from.
  GoogleCloudVisionV1p2beta1ImageAnnotationContext context;

  /// If present, crop hints have completed successfully.
  GoogleCloudVisionV1p2beta1CropHintsAnnotation cropHintsAnnotation;

  /// If set, represents the error message for the operation. Note that
  /// filled-in image annotations are guaranteed to be correct, even when
  /// `error` is set.
  Status error;

  /// If present, face detection has completed successfully.
  core.List<GoogleCloudVisionV1p2beta1FaceAnnotation> faceAnnotations;

  /// If present, text (OCR) detection or document (OCR) text detection has
  /// completed successfully. This annotation provides the structural hierarchy
  /// for the OCR detected text.
  GoogleCloudVisionV1p2beta1TextAnnotation fullTextAnnotation;

  /// If present, image properties were extracted successfully.
  GoogleCloudVisionV1p2beta1ImageProperties imagePropertiesAnnotation;

  /// If present, label detection has completed successfully.
  core.List<GoogleCloudVisionV1p2beta1EntityAnnotation> labelAnnotations;

  /// If present, landmark detection has completed successfully.
  core.List<GoogleCloudVisionV1p2beta1EntityAnnotation> landmarkAnnotations;

  /// If present, localized object detection has completed successfully. This
  /// will be sorted descending by confidence score.
  core.List<GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation>
      localizedObjectAnnotations;

  /// If present, logo detection has completed successfully.
  core.List<GoogleCloudVisionV1p2beta1EntityAnnotation> logoAnnotations;

  /// If present, product search has completed successfully.
  GoogleCloudVisionV1p2beta1ProductSearchResults productSearchResults;

  /// If present, safe-search annotation has completed successfully.
  GoogleCloudVisionV1p2beta1SafeSearchAnnotation safeSearchAnnotation;

  /// If present, text (OCR) detection has completed successfully.
  core.List<GoogleCloudVisionV1p2beta1EntityAnnotation> textAnnotations;

  /// If present, web detection has completed successfully.
  GoogleCloudVisionV1p2beta1WebDetection webDetection;

  GoogleCloudVisionV1p2beta1AnnotateImageResponse();

  GoogleCloudVisionV1p2beta1AnnotateImageResponse.fromJson(core.Map _json) {
    if (_json.containsKey('context')) {
      context = GoogleCloudVisionV1p2beta1ImageAnnotationContext.fromJson(
          _json['context']);
    }
    if (_json.containsKey('cropHintsAnnotation')) {
      cropHintsAnnotation =
          GoogleCloudVisionV1p2beta1CropHintsAnnotation.fromJson(
              _json['cropHintsAnnotation']);
    }
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('faceAnnotations')) {
      faceAnnotations = (_json['faceAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p2beta1FaceAnnotation>((value) =>
              GoogleCloudVisionV1p2beta1FaceAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('fullTextAnnotation')) {
      fullTextAnnotation = GoogleCloudVisionV1p2beta1TextAnnotation.fromJson(
          _json['fullTextAnnotation']);
    }
    if (_json.containsKey('imagePropertiesAnnotation')) {
      imagePropertiesAnnotation =
          GoogleCloudVisionV1p2beta1ImageProperties.fromJson(
              _json['imagePropertiesAnnotation']);
    }
    if (_json.containsKey('labelAnnotations')) {
      labelAnnotations = (_json['labelAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p2beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p2beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('landmarkAnnotations')) {
      landmarkAnnotations = (_json['landmarkAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p2beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p2beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('localizedObjectAnnotations')) {
      localizedObjectAnnotations = (_json['localizedObjectAnnotations']
              as core.List)
          .map<GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation>((value) =>
              GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation.fromJson(
                  value))
          .toList();
    }
    if (_json.containsKey('logoAnnotations')) {
      logoAnnotations = (_json['logoAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p2beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p2beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('productSearchResults')) {
      productSearchResults =
          GoogleCloudVisionV1p2beta1ProductSearchResults.fromJson(
              _json['productSearchResults']);
    }
    if (_json.containsKey('safeSearchAnnotation')) {
      safeSearchAnnotation =
          GoogleCloudVisionV1p2beta1SafeSearchAnnotation.fromJson(
              _json['safeSearchAnnotation']);
    }
    if (_json.containsKey('textAnnotations')) {
      textAnnotations = (_json['textAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p2beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p2beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('webDetection')) {
      webDetection = GoogleCloudVisionV1p2beta1WebDetection.fromJson(
          _json['webDetection']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (context != null) {
      _json['context'] = context.toJson();
    }
    if (cropHintsAnnotation != null) {
      _json['cropHintsAnnotation'] = cropHintsAnnotation.toJson();
    }
    if (error != null) {
      _json['error'] = error.toJson();
    }
    if (faceAnnotations != null) {
      _json['faceAnnotations'] =
          faceAnnotations.map((value) => value.toJson()).toList();
    }
    if (fullTextAnnotation != null) {
      _json['fullTextAnnotation'] = fullTextAnnotation.toJson();
    }
    if (imagePropertiesAnnotation != null) {
      _json['imagePropertiesAnnotation'] = imagePropertiesAnnotation.toJson();
    }
    if (labelAnnotations != null) {
      _json['labelAnnotations'] =
          labelAnnotations.map((value) => value.toJson()).toList();
    }
    if (landmarkAnnotations != null) {
      _json['landmarkAnnotations'] =
          landmarkAnnotations.map((value) => value.toJson()).toList();
    }
    if (localizedObjectAnnotations != null) {
      _json['localizedObjectAnnotations'] =
          localizedObjectAnnotations.map((value) => value.toJson()).toList();
    }
    if (logoAnnotations != null) {
      _json['logoAnnotations'] =
          logoAnnotations.map((value) => value.toJson()).toList();
    }
    if (productSearchResults != null) {
      _json['productSearchResults'] = productSearchResults.toJson();
    }
    if (safeSearchAnnotation != null) {
      _json['safeSearchAnnotation'] = safeSearchAnnotation.toJson();
    }
    if (textAnnotations != null) {
      _json['textAnnotations'] =
          textAnnotations.map((value) => value.toJson()).toList();
    }
    if (webDetection != null) {
      _json['webDetection'] = webDetection.toJson();
    }
    return _json;
  }
}

/// The response for a single offline file annotation request.
class GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse {
  /// The output location and metadata from AsyncAnnotateFileRequest.
  GoogleCloudVisionV1p2beta1OutputConfig outputConfig;

  GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse();

  GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse.fromJson(core.Map _json) {
    if (_json.containsKey('outputConfig')) {
      outputConfig = GoogleCloudVisionV1p2beta1OutputConfig.fromJson(
          _json['outputConfig']);
    }
  }

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

/// Response to an async batch file annotation request.
class GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse {
  /// The list of file annotation responses, one for each request in
  /// AsyncBatchAnnotateFilesRequest.
  core.List<GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse> responses;

  GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse();

  GoogleCloudVisionV1p2beta1AsyncBatchAnnotateFilesResponse.fromJson(
      core.Map _json) {
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse>((value) =>
              GoogleCloudVisionV1p2beta1AsyncAnnotateFileResponse.fromJson(
                  value))
          .toList();
    }
  }

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

/// Logical element on the page.
class GoogleCloudVisionV1p2beta1Block {
  /// Detected block type (text, image etc) for this block.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown block type.
  /// - "TEXT" : Regular text block.
  /// - "TABLE" : Table block.
  /// - "PICTURE" : Image block.
  /// - "RULER" : Horizontal/vertical line box.
  /// - "BARCODE" : Barcode block.
  core.String blockType;

  /// The bounding box for the block. The vertices are in the order of top-left,
  /// top-right, bottom-right, bottom-left. When a rotation of the bounding box
  /// is detected the rotation is represented as around the top-left corner as
  /// defined when the text is read in the 'natural' orientation. For example: *
  /// when the text is horizontal it might look like: 0----1 | | 3----2 * when
  /// it's rotated 180 degrees around the top-left corner it becomes: 2----3 | |
  /// 1----0 and the vertex order will still be (0, 1, 2, 3).
  GoogleCloudVisionV1p2beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results on the block. Range [0, 1].
  core.double confidence;

  /// List of paragraphs in this block (if this blocks is of type text).
  core.List<GoogleCloudVisionV1p2beta1Paragraph> paragraphs;

  /// Additional information detected for the block.
  GoogleCloudVisionV1p2beta1TextAnnotationTextProperty property;

  GoogleCloudVisionV1p2beta1Block();

  GoogleCloudVisionV1p2beta1Block.fromJson(core.Map _json) {
    if (_json.containsKey('blockType')) {
      blockType = _json['blockType'] as core.String;
    }
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('paragraphs')) {
      paragraphs = (_json['paragraphs'] as core.List)
          .map<GoogleCloudVisionV1p2beta1Paragraph>(
              (value) => GoogleCloudVisionV1p2beta1Paragraph.fromJson(value))
          .toList();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p2beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (blockType != null) {
      _json['blockType'] = blockType;
    }
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (paragraphs != null) {
      _json['paragraphs'] = paragraphs.map((value) => value.toJson()).toList();
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    return _json;
  }
}

/// A bounding polygon for the detected image annotation.
class GoogleCloudVisionV1p2beta1BoundingPoly {
  /// The bounding polygon normalized vertices.
  core.List<GoogleCloudVisionV1p2beta1NormalizedVertex> normalizedVertices;

  /// The bounding polygon vertices.
  core.List<GoogleCloudVisionV1p2beta1Vertex> vertices;

  GoogleCloudVisionV1p2beta1BoundingPoly();

  GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(core.Map _json) {
    if (_json.containsKey('normalizedVertices')) {
      normalizedVertices = (_json['normalizedVertices'] as core.List)
          .map<GoogleCloudVisionV1p2beta1NormalizedVertex>((value) =>
              GoogleCloudVisionV1p2beta1NormalizedVertex.fromJson(value))
          .toList();
    }
    if (_json.containsKey('vertices')) {
      vertices = (_json['vertices'] as core.List)
          .map<GoogleCloudVisionV1p2beta1Vertex>(
              (value) => GoogleCloudVisionV1p2beta1Vertex.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (normalizedVertices != null) {
      _json['normalizedVertices'] =
          normalizedVertices.map((value) => value.toJson()).toList();
    }
    if (vertices != null) {
      _json['vertices'] = vertices.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Color information consists of RGB channels, score, and the fraction of the
/// image that the color occupies in the image.
class GoogleCloudVisionV1p2beta1ColorInfo {
  /// RGB components of the color.
  Color color;

  /// The fraction of pixels the color occupies in the image. Value in range [0,
  /// 1].
  core.double pixelFraction;

  /// Image-specific score for this color. Value in range [0, 1].
  core.double score;

  GoogleCloudVisionV1p2beta1ColorInfo();

  GoogleCloudVisionV1p2beta1ColorInfo.fromJson(core.Map _json) {
    if (_json.containsKey('color')) {
      color = Color.fromJson(_json['color']);
    }
    if (_json.containsKey('pixelFraction')) {
      pixelFraction = (_json['pixelFraction'] as core.num).toDouble();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (color != null) {
      _json['color'] = color.toJson();
    }
    if (pixelFraction != null) {
      _json['pixelFraction'] = pixelFraction;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Single crop hint that is used to generate a new crop when serving an image.
class GoogleCloudVisionV1p2beta1CropHint {
  /// The bounding polygon for the crop region. The coordinates of the bounding
  /// box are in the original image's scale.
  GoogleCloudVisionV1p2beta1BoundingPoly boundingPoly;

  /// Confidence of this being a salient region. Range [0, 1].
  core.double confidence;

  /// Fraction of importance of this salient region with respect to the original
  /// image.
  core.double importanceFraction;

  GoogleCloudVisionV1p2beta1CropHint();

  GoogleCloudVisionV1p2beta1CropHint.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('importanceFraction')) {
      importanceFraction = (_json['importanceFraction'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (importanceFraction != null) {
      _json['importanceFraction'] = importanceFraction;
    }
    return _json;
  }
}

/// Set of crop hints that are used to generate new crops when serving images.
class GoogleCloudVisionV1p2beta1CropHintsAnnotation {
  /// Crop hint results.
  core.List<GoogleCloudVisionV1p2beta1CropHint> cropHints;

  GoogleCloudVisionV1p2beta1CropHintsAnnotation();

  GoogleCloudVisionV1p2beta1CropHintsAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('cropHints')) {
      cropHints = (_json['cropHints'] as core.List)
          .map<GoogleCloudVisionV1p2beta1CropHint>(
              (value) => GoogleCloudVisionV1p2beta1CropHint.fromJson(value))
          .toList();
    }
  }

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

/// Set of dominant colors and their corresponding scores.
class GoogleCloudVisionV1p2beta1DominantColorsAnnotation {
  /// RGB color values with their score and pixel fraction.
  core.List<GoogleCloudVisionV1p2beta1ColorInfo> colors;

  GoogleCloudVisionV1p2beta1DominantColorsAnnotation();

  GoogleCloudVisionV1p2beta1DominantColorsAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('colors')) {
      colors = (_json['colors'] as core.List)
          .map<GoogleCloudVisionV1p2beta1ColorInfo>(
              (value) => GoogleCloudVisionV1p2beta1ColorInfo.fromJson(value))
          .toList();
    }
  }

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

/// Set of detected entity features.
class GoogleCloudVisionV1p2beta1EntityAnnotation {
  /// Image region to which this entity belongs. Not produced for
  /// `LABEL_DETECTION` features.
  GoogleCloudVisionV1p2beta1BoundingPoly boundingPoly;

  /// **Deprecated. Use `score` instead.** The accuracy of the entity detection
  /// in an image. For example, for an image in which the "Eiffel Tower" entity
  /// is detected, this field represents the confidence that there is a tower in
  /// the query image. Range [0, 1].
  core.double confidence;

  /// Entity textual description, expressed in its `locale` language.
  core.String description;

  /// The language code for the locale in which the entity textual `description`
  /// is expressed.
  core.String locale;

  /// The location information for the detected entity. Multiple `LocationInfo`
  /// elements can be present because one location may indicate the location of
  /// the scene in the image, and another location may indicate the location of
  /// the place where the image was taken. Location information is usually
  /// present for landmarks.
  core.List<GoogleCloudVisionV1p2beta1LocationInfo> locations;

  /// Opaque entity ID. Some IDs may be available in [Google Knowledge Graph
  /// Search API](https://developers.google.com/knowledge-graph/).
  core.String mid;

  /// Some entities may have optional user-supplied `Property` (name/value)
  /// fields, such a score or string that qualifies the entity.
  core.List<GoogleCloudVisionV1p2beta1Property> properties;

  /// Overall score of the result. Range [0, 1].
  core.double score;

  /// The relevancy of the ICA (Image Content Annotation) label to the image.
  /// For example, the relevancy of "tower" is likely higher to an image
  /// containing the detected "Eiffel Tower" than to an image containing a
  /// detected distant towering building, even though the confidence that there
  /// is a tower in each image may be the same. Range [0, 1].
  core.double topicality;

  GoogleCloudVisionV1p2beta1EntityAnnotation();

  GoogleCloudVisionV1p2beta1EntityAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('locale')) {
      locale = _json['locale'] as core.String;
    }
    if (_json.containsKey('locations')) {
      locations = (_json['locations'] as core.List)
          .map<GoogleCloudVisionV1p2beta1LocationInfo>(
              (value) => GoogleCloudVisionV1p2beta1LocationInfo.fromJson(value))
          .toList();
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('properties')) {
      properties = (_json['properties'] as core.List)
          .map<GoogleCloudVisionV1p2beta1Property>(
              (value) => GoogleCloudVisionV1p2beta1Property.fromJson(value))
          .toList();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('topicality')) {
      topicality = (_json['topicality'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (description != null) {
      _json['description'] = description;
    }
    if (locale != null) {
      _json['locale'] = locale;
    }
    if (locations != null) {
      _json['locations'] = locations.map((value) => value.toJson()).toList();
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (properties != null) {
      _json['properties'] = properties.map((value) => value.toJson()).toList();
    }
    if (score != null) {
      _json['score'] = score;
    }
    if (topicality != null) {
      _json['topicality'] = topicality;
    }
    return _json;
  }
}

/// A face annotation object contains the results of face detection.
class GoogleCloudVisionV1p2beta1FaceAnnotation {
  /// Anger likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String angerLikelihood;

  /// Blurred likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String blurredLikelihood;

  /// The bounding polygon around the face. The coordinates of the bounding box
  /// are in the original image's scale. The bounding box is computed to "frame"
  /// the face in accordance with human expectations. It is based on the
  /// landmarker results. Note that one or more x and/or y coordinates may not
  /// be generated in the `BoundingPoly` (the polygon will be unbounded) if only
  /// a partial face appears in the image to be annotated.
  GoogleCloudVisionV1p2beta1BoundingPoly boundingPoly;

  /// Detection confidence. Range [0, 1].
  core.double detectionConfidence;

  /// The `fd_bounding_poly` bounding polygon is tighter than the
  /// `boundingPoly`, and encloses only the skin part of the face. Typically, it
  /// is used to eliminate the face from any image analysis that detects the
  /// "amount of skin" visible in an image. It is not based on the landmarker
  /// results, only on the initial face detection, hence the fd (face detection)
  /// prefix.
  GoogleCloudVisionV1p2beta1BoundingPoly fdBoundingPoly;

  /// Headwear likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String headwearLikelihood;

  /// Joy likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String joyLikelihood;

  /// Face landmarking confidence. Range [0, 1].
  core.double landmarkingConfidence;

  /// Detected face landmarks.
  core.List<GoogleCloudVisionV1p2beta1FaceAnnotationLandmark> landmarks;

  /// Yaw angle, which indicates the leftward/rightward angle that the face is
  /// pointing relative to the vertical plane perpendicular to the image. Range
  /// [-180,180].
  core.double panAngle;

  /// Roll angle, which indicates the amount of clockwise/anti-clockwise
  /// rotation of the face relative to the image vertical about the axis
  /// perpendicular to the face. Range [-180,180].
  core.double rollAngle;

  /// Sorrow likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String sorrowLikelihood;

  /// Surprise likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String surpriseLikelihood;

  /// Pitch angle, which indicates the upwards/downwards angle that the face is
  /// pointing relative to the image's horizontal plane. Range [-180,180].
  core.double tiltAngle;

  /// Under-exposed likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String underExposedLikelihood;

  GoogleCloudVisionV1p2beta1FaceAnnotation();

  GoogleCloudVisionV1p2beta1FaceAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('angerLikelihood')) {
      angerLikelihood = _json['angerLikelihood'] as core.String;
    }
    if (_json.containsKey('blurredLikelihood')) {
      blurredLikelihood = _json['blurredLikelihood'] as core.String;
    }
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('detectionConfidence')) {
      detectionConfidence =
          (_json['detectionConfidence'] as core.num).toDouble();
    }
    if (_json.containsKey('fdBoundingPoly')) {
      fdBoundingPoly = GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(
          _json['fdBoundingPoly']);
    }
    if (_json.containsKey('headwearLikelihood')) {
      headwearLikelihood = _json['headwearLikelihood'] as core.String;
    }
    if (_json.containsKey('joyLikelihood')) {
      joyLikelihood = _json['joyLikelihood'] as core.String;
    }
    if (_json.containsKey('landmarkingConfidence')) {
      landmarkingConfidence =
          (_json['landmarkingConfidence'] as core.num).toDouble();
    }
    if (_json.containsKey('landmarks')) {
      landmarks = (_json['landmarks'] as core.List)
          .map<GoogleCloudVisionV1p2beta1FaceAnnotationLandmark>((value) =>
              GoogleCloudVisionV1p2beta1FaceAnnotationLandmark.fromJson(value))
          .toList();
    }
    if (_json.containsKey('panAngle')) {
      panAngle = (_json['panAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('rollAngle')) {
      rollAngle = (_json['rollAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('sorrowLikelihood')) {
      sorrowLikelihood = _json['sorrowLikelihood'] as core.String;
    }
    if (_json.containsKey('surpriseLikelihood')) {
      surpriseLikelihood = _json['surpriseLikelihood'] as core.String;
    }
    if (_json.containsKey('tiltAngle')) {
      tiltAngle = (_json['tiltAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('underExposedLikelihood')) {
      underExposedLikelihood = _json['underExposedLikelihood'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (angerLikelihood != null) {
      _json['angerLikelihood'] = angerLikelihood;
    }
    if (blurredLikelihood != null) {
      _json['blurredLikelihood'] = blurredLikelihood;
    }
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (detectionConfidence != null) {
      _json['detectionConfidence'] = detectionConfidence;
    }
    if (fdBoundingPoly != null) {
      _json['fdBoundingPoly'] = fdBoundingPoly.toJson();
    }
    if (headwearLikelihood != null) {
      _json['headwearLikelihood'] = headwearLikelihood;
    }
    if (joyLikelihood != null) {
      _json['joyLikelihood'] = joyLikelihood;
    }
    if (landmarkingConfidence != null) {
      _json['landmarkingConfidence'] = landmarkingConfidence;
    }
    if (landmarks != null) {
      _json['landmarks'] = landmarks.map((value) => value.toJson()).toList();
    }
    if (panAngle != null) {
      _json['panAngle'] = panAngle;
    }
    if (rollAngle != null) {
      _json['rollAngle'] = rollAngle;
    }
    if (sorrowLikelihood != null) {
      _json['sorrowLikelihood'] = sorrowLikelihood;
    }
    if (surpriseLikelihood != null) {
      _json['surpriseLikelihood'] = surpriseLikelihood;
    }
    if (tiltAngle != null) {
      _json['tiltAngle'] = tiltAngle;
    }
    if (underExposedLikelihood != null) {
      _json['underExposedLikelihood'] = underExposedLikelihood;
    }
    return _json;
  }
}

/// A face-specific landmark (for example, a face feature).
class GoogleCloudVisionV1p2beta1FaceAnnotationLandmark {
  /// Face landmark position.
  GoogleCloudVisionV1p2beta1Position position;

  /// Face landmark type.
  /// Possible string values are:
  /// - "UNKNOWN_LANDMARK" : Unknown face landmark detected. Should not be
  /// filled.
  /// - "LEFT_EYE" : Left eye.
  /// - "RIGHT_EYE" : Right eye.
  /// - "LEFT_OF_LEFT_EYEBROW" : Left of left eyebrow.
  /// - "RIGHT_OF_LEFT_EYEBROW" : Right of left eyebrow.
  /// - "LEFT_OF_RIGHT_EYEBROW" : Left of right eyebrow.
  /// - "RIGHT_OF_RIGHT_EYEBROW" : Right of right eyebrow.
  /// - "MIDPOINT_BETWEEN_EYES" : Midpoint between eyes.
  /// - "NOSE_TIP" : Nose tip.
  /// - "UPPER_LIP" : Upper lip.
  /// - "LOWER_LIP" : Lower lip.
  /// - "MOUTH_LEFT" : Mouth left.
  /// - "MOUTH_RIGHT" : Mouth right.
  /// - "MOUTH_CENTER" : Mouth center.
  /// - "NOSE_BOTTOM_RIGHT" : Nose, bottom right.
  /// - "NOSE_BOTTOM_LEFT" : Nose, bottom left.
  /// - "NOSE_BOTTOM_CENTER" : Nose, bottom center.
  /// - "LEFT_EYE_TOP_BOUNDARY" : Left eye, top boundary.
  /// - "LEFT_EYE_RIGHT_CORNER" : Left eye, right corner.
  /// - "LEFT_EYE_BOTTOM_BOUNDARY" : Left eye, bottom boundary.
  /// - "LEFT_EYE_LEFT_CORNER" : Left eye, left corner.
  /// - "RIGHT_EYE_TOP_BOUNDARY" : Right eye, top boundary.
  /// - "RIGHT_EYE_RIGHT_CORNER" : Right eye, right corner.
  /// - "RIGHT_EYE_BOTTOM_BOUNDARY" : Right eye, bottom boundary.
  /// - "RIGHT_EYE_LEFT_CORNER" : Right eye, left corner.
  /// - "LEFT_EYEBROW_UPPER_MIDPOINT" : Left eyebrow, upper midpoint.
  /// - "RIGHT_EYEBROW_UPPER_MIDPOINT" : Right eyebrow, upper midpoint.
  /// - "LEFT_EAR_TRAGION" : Left ear tragion.
  /// - "RIGHT_EAR_TRAGION" : Right ear tragion.
  /// - "LEFT_EYE_PUPIL" : Left eye pupil.
  /// - "RIGHT_EYE_PUPIL" : Right eye pupil.
  /// - "FOREHEAD_GLABELLA" : Forehead glabella.
  /// - "CHIN_GNATHION" : Chin gnathion.
  /// - "CHIN_LEFT_GONION" : Chin left gonion.
  /// - "CHIN_RIGHT_GONION" : Chin right gonion.
  /// - "LEFT_CHEEK_CENTER" : Left cheek center.
  /// - "RIGHT_CHEEK_CENTER" : Right cheek center.
  core.String type;

  GoogleCloudVisionV1p2beta1FaceAnnotationLandmark();

  GoogleCloudVisionV1p2beta1FaceAnnotationLandmark.fromJson(core.Map _json) {
    if (_json.containsKey('position')) {
      position = GoogleCloudVisionV1p2beta1Position.fromJson(_json['position']);
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// The Google Cloud Storage location where the output will be written to.
class GoogleCloudVisionV1p2beta1GcsDestination {
  /// Google Cloud Storage URI prefix where the results will be stored. Results
  /// will be in JSON format and preceded by its corresponding input URI prefix.
  /// This field can either represent a gcs file prefix or gcs directory. In
  /// either case, the uri should be unique because in order to get all of the
  /// output files, you will need to do a wildcard gcs search on the uri prefix
  /// you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix
  /// The output files will be created in gs://bucket-name/here/ and the names
  /// of the output files will begin with "filenameprefix". * Directory Prefix:
  /// gs://bucket-name/some/location/ The output files will be created in
  /// gs://bucket-name/some/location/ and the names of the output files could be
  /// anything because there was no filename prefix specified. If multiple
  /// outputs, each response is still AnnotateFileResponse, each of which
  /// contains some subset of the full list of AnnotateImageResponse. Multiple
  /// outputs can happen if, for example, the output JSON is too large and
  /// overflows into multiple sharded files.
  core.String uri;

  GoogleCloudVisionV1p2beta1GcsDestination();

  GoogleCloudVisionV1p2beta1GcsDestination.fromJson(core.Map _json) {
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// The Google Cloud Storage location where the input will be read from.
class GoogleCloudVisionV1p2beta1GcsSource {
  /// Google Cloud Storage URI for the input file. This must only be a Google
  /// Cloud Storage object. Wildcards are not currently supported.
  core.String uri;

  GoogleCloudVisionV1p2beta1GcsSource();

  GoogleCloudVisionV1p2beta1GcsSource.fromJson(core.Map _json) {
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// If an image was produced from a file (e.g. a PDF), this message gives
/// information about the source of that image.
class GoogleCloudVisionV1p2beta1ImageAnnotationContext {
  /// If the file was a PDF or TIFF, this field gives the page number within the
  /// file used to produce the image.
  core.int pageNumber;

  /// The URI of the file used to produce the image.
  core.String uri;

  GoogleCloudVisionV1p2beta1ImageAnnotationContext();

  GoogleCloudVisionV1p2beta1ImageAnnotationContext.fromJson(core.Map _json) {
    if (_json.containsKey('pageNumber')) {
      pageNumber = _json['pageNumber'] as core.int;
    }
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pageNumber != null) {
      _json['pageNumber'] = pageNumber;
    }
    if (uri != null) {
      _json['uri'] = uri;
    }
    return _json;
  }
}

/// Stores image properties, such as dominant colors.
class GoogleCloudVisionV1p2beta1ImageProperties {
  /// If present, dominant colors completed successfully.
  GoogleCloudVisionV1p2beta1DominantColorsAnnotation dominantColors;

  GoogleCloudVisionV1p2beta1ImageProperties();

  GoogleCloudVisionV1p2beta1ImageProperties.fromJson(core.Map _json) {
    if (_json.containsKey('dominantColors')) {
      dominantColors =
          GoogleCloudVisionV1p2beta1DominantColorsAnnotation.fromJson(
              _json['dominantColors']);
    }
  }

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

/// The desired input location and metadata.
class GoogleCloudVisionV1p2beta1InputConfig {
  /// File content, represented as a stream of bytes. Note: As with all `bytes`
  /// fields, protobuffers use a pure binary representation, whereas JSON
  /// representations use base64. Currently, this field only works for
  /// BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles
  /// requests.
  core.String content;
  core.List<core.int> get contentAsBytes => convert.base64.decode(content);

  set contentAsBytes(core.List<core.int> _bytes) {
    content =
        convert.base64.encode(_bytes).replaceAll('/', '_').replaceAll('+', '-');
  }

  /// The Google Cloud Storage location to read the input from.
  GoogleCloudVisionV1p2beta1GcsSource gcsSource;

  /// The type of the file. Currently only "application/pdf", "image/tiff" and
  /// "image/gif" are supported. Wildcards are not supported.
  core.String mimeType;

  GoogleCloudVisionV1p2beta1InputConfig();

  GoogleCloudVisionV1p2beta1InputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('content')) {
      content = _json['content'] as core.String;
    }
    if (_json.containsKey('gcsSource')) {
      gcsSource =
          GoogleCloudVisionV1p2beta1GcsSource.fromJson(_json['gcsSource']);
    }
    if (_json.containsKey('mimeType')) {
      mimeType = _json['mimeType'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (content != null) {
      _json['content'] = content;
    }
    if (gcsSource != null) {
      _json['gcsSource'] = gcsSource.toJson();
    }
    if (mimeType != null) {
      _json['mimeType'] = mimeType;
    }
    return _json;
  }
}

/// Set of detected objects with bounding boxes.
class GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation {
  /// Image region to which this object belongs. This must be populated.
  GoogleCloudVisionV1p2beta1BoundingPoly boundingPoly;

  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  /// Object ID that should align with EntityAnnotation mid.
  core.String mid;

  /// Object name, expressed in its `language_code` language.
  core.String name;

  /// Score of the result. Range [0, 1].
  core.double score;

  GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation();

  GoogleCloudVisionV1p2beta1LocalizedObjectAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Detected entity location information.
class GoogleCloudVisionV1p2beta1LocationInfo {
  /// lat/long location coordinates.
  LatLng latLng;

  GoogleCloudVisionV1p2beta1LocationInfo();

  GoogleCloudVisionV1p2beta1LocationInfo.fromJson(core.Map _json) {
    if (_json.containsKey('latLng')) {
      latLng = LatLng.fromJson(_json['latLng']);
    }
  }

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

/// A vertex represents a 2D point in the image. NOTE: the normalized vertex
/// coordinates are relative to the original image and range from 0 to 1.
class GoogleCloudVisionV1p2beta1NormalizedVertex {
  /// X coordinate.
  core.double x;

  /// Y coordinate.
  core.double y;

  GoogleCloudVisionV1p2beta1NormalizedVertex();

  GoogleCloudVisionV1p2beta1NormalizedVertex.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = (_json['x'] as core.num).toDouble();
    }
    if (_json.containsKey('y')) {
      y = (_json['y'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    return _json;
  }
}

/// Contains metadata for the BatchAnnotateImages operation.
class GoogleCloudVisionV1p2beta1OperationMetadata {
  /// The time when the batch request was received.
  core.String createTime;

  /// Current state of the batch operation.
  /// Possible string values are:
  /// - "STATE_UNSPECIFIED" : Invalid.
  /// - "CREATED" : Request is received.
  /// - "RUNNING" : Request is actively being processed.
  /// - "DONE" : The batch processing is done.
  /// - "CANCELLED" : The batch processing was cancelled.
  core.String state;

  /// The time when the operation result was last updated.
  core.String updateTime;

  GoogleCloudVisionV1p2beta1OperationMetadata();

  GoogleCloudVisionV1p2beta1OperationMetadata.fromJson(core.Map _json) {
    if (_json.containsKey('createTime')) {
      createTime = _json['createTime'] as core.String;
    }
    if (_json.containsKey('state')) {
      state = _json['state'] as core.String;
    }
    if (_json.containsKey('updateTime')) {
      updateTime = _json['updateTime'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (createTime != null) {
      _json['createTime'] = createTime;
    }
    if (state != null) {
      _json['state'] = state;
    }
    if (updateTime != null) {
      _json['updateTime'] = updateTime;
    }
    return _json;
  }
}

/// The desired output location and metadata.
class GoogleCloudVisionV1p2beta1OutputConfig {
  /// The max number of response protos to put into each output JSON file on
  /// Google Cloud Storage. The valid range is [1, 100]. If not specified, the
  /// default value is 20. For example, for one pdf file with 100 pages, 100
  /// response protos will be generated. If `batch_size` = 20, then 5 json files
  /// each containing 20 response protos will be written under the prefix
  /// `gcs_destination`.`uri`. Currently, batch_size only applies to
  /// GcsDestination, with potential future support for other output
  /// configurations.
  core.int batchSize;

  /// The Google Cloud Storage location to write the output(s) to.
  GoogleCloudVisionV1p2beta1GcsDestination gcsDestination;

  GoogleCloudVisionV1p2beta1OutputConfig();

  GoogleCloudVisionV1p2beta1OutputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('batchSize')) {
      batchSize = _json['batchSize'] as core.int;
    }
    if (_json.containsKey('gcsDestination')) {
      gcsDestination = GoogleCloudVisionV1p2beta1GcsDestination.fromJson(
          _json['gcsDestination']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (batchSize != null) {
      _json['batchSize'] = batchSize;
    }
    if (gcsDestination != null) {
      _json['gcsDestination'] = gcsDestination.toJson();
    }
    return _json;
  }
}

/// Detected page from OCR.
class GoogleCloudVisionV1p2beta1Page {
  /// List of blocks of text, images etc on this page.
  core.List<GoogleCloudVisionV1p2beta1Block> blocks;

  /// Confidence of the OCR results on the page. Range [0, 1].
  core.double confidence;

  /// Page height. For PDFs the unit is points. For images (including TIFFs) the
  /// unit is pixels.
  core.int height;

  /// Additional information detected on the page.
  GoogleCloudVisionV1p2beta1TextAnnotationTextProperty property;

  /// Page width. For PDFs the unit is points. For images (including TIFFs) the
  /// unit is pixels.
  core.int width;

  GoogleCloudVisionV1p2beta1Page();

  GoogleCloudVisionV1p2beta1Page.fromJson(core.Map _json) {
    if (_json.containsKey('blocks')) {
      blocks = (_json['blocks'] as core.List)
          .map<GoogleCloudVisionV1p2beta1Block>(
              (value) => GoogleCloudVisionV1p2beta1Block.fromJson(value))
          .toList();
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('height')) {
      height = _json['height'] as core.int;
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p2beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('width')) {
      width = _json['width'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (blocks != null) {
      _json['blocks'] = blocks.map((value) => value.toJson()).toList();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (height != null) {
      _json['height'] = height;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (width != null) {
      _json['width'] = width;
    }
    return _json;
  }
}

/// Structural unit of text representing a number of words in certain order.
class GoogleCloudVisionV1p2beta1Paragraph {
  /// The bounding box for the paragraph. The vertices are in the order of
  /// top-left, top-right, bottom-right, bottom-left. When a rotation of the
  /// bounding box is detected the rotation is represented as around the
  /// top-left corner as defined when the text is read in the 'natural'
  /// orientation. For example: * when the text is horizontal it might look
  /// like: 0----1 | | 3----2 * when it's rotated 180 degrees around the
  /// top-left corner it becomes: 2----3 | | 1----0 and the vertex order will
  /// still be (0, 1, 2, 3).
  GoogleCloudVisionV1p2beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the paragraph. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the paragraph.
  GoogleCloudVisionV1p2beta1TextAnnotationTextProperty property;

  /// List of all words in this paragraph.
  core.List<GoogleCloudVisionV1p2beta1Word> words;

  GoogleCloudVisionV1p2beta1Paragraph();

  GoogleCloudVisionV1p2beta1Paragraph.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p2beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('words')) {
      words = (_json['words'] as core.List)
          .map<GoogleCloudVisionV1p2beta1Word>(
              (value) => GoogleCloudVisionV1p2beta1Word.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (words != null) {
      _json['words'] = words.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A 3D position in the image, used primarily for Face detection landmarks. A
/// valid Position must have both x and y coordinates. The position coordinates
/// are in the same scale as the original image.
class GoogleCloudVisionV1p2beta1Position {
  /// X coordinate.
  core.double x;

  /// Y coordinate.
  core.double y;

  /// Z coordinate (or depth).
  core.double z;

  GoogleCloudVisionV1p2beta1Position();

  GoogleCloudVisionV1p2beta1Position.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = (_json['x'] as core.num).toDouble();
    }
    if (_json.containsKey('y')) {
      y = (_json['y'] as core.num).toDouble();
    }
    if (_json.containsKey('z')) {
      z = (_json['z'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    if (z != null) {
      _json['z'] = z;
    }
    return _json;
  }
}

/// A Product contains ReferenceImages.
class GoogleCloudVisionV1p2beta1Product {
  /// User-provided metadata to be stored with this product. Must be at most
  /// 4096 characters long.
  core.String description;

  /// The user-provided name for this Product. Must not be empty. Must be at
  /// most 4096 characters long.
  core.String displayName;

  /// The resource name of the product. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is
  /// ignored when creating a product.
  core.String name;

  /// Immutable. The category for the product identified by the reference image.
  /// This should be one of "homegoods-v2", "apparel-v2", "toys-v2",
  /// "packagedgoods-v1" or "general-v1". The legacy categories "homegoods",
  /// "apparel", and "toys" are still supported, but these should not be used
  /// for new products.
  core.String productCategory;

  /// Key-value pairs that can be attached to a product. At query time,
  /// constraints can be specified based on the product_labels. Note that
  /// integer values can be provided as strings, e.g. "1199". Only strings with
  /// integer values can match a range-based restriction which is to be
  /// supported soon. Multiple values can be assigned to the same key. One
  /// product may have up to 500 product_labels. Notice that the total number of
  /// distinct product_labels over all products in one ProductSet cannot exceed
  /// 1M, otherwise the product search pipeline will refuse to work for that
  /// ProductSet.
  core.List<GoogleCloudVisionV1p2beta1ProductKeyValue> productLabels;

  GoogleCloudVisionV1p2beta1Product();

  GoogleCloudVisionV1p2beta1Product.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('displayName')) {
      displayName = _json['displayName'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('productCategory')) {
      productCategory = _json['productCategory'] as core.String;
    }
    if (_json.containsKey('productLabels')) {
      productLabels = (_json['productLabels'] as core.List)
          .map<GoogleCloudVisionV1p2beta1ProductKeyValue>((value) =>
              GoogleCloudVisionV1p2beta1ProductKeyValue.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (displayName != null) {
      _json['displayName'] = displayName;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (productCategory != null) {
      _json['productCategory'] = productCategory;
    }
    if (productLabels != null) {
      _json['productLabels'] =
          productLabels.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A product label represented as a key-value pair.
class GoogleCloudVisionV1p2beta1ProductKeyValue {
  /// The key of the label attached to the product. Cannot be empty and cannot
  /// exceed 128 bytes.
  core.String key;

  /// The value of the label attached to the product. Cannot be empty and cannot
  /// exceed 128 bytes.
  core.String value;

  GoogleCloudVisionV1p2beta1ProductKeyValue();

  GoogleCloudVisionV1p2beta1ProductKeyValue.fromJson(core.Map _json) {
    if (_json.containsKey('key')) {
      key = _json['key'] as core.String;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (key != null) {
      _json['key'] = key;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// Results for a product search request.
class GoogleCloudVisionV1p2beta1ProductSearchResults {
  /// Timestamp of the index which provided these results. Products added to the
  /// product set and products removed from the product set after this time are
  /// not reflected in the current results.
  core.String indexTime;

  /// List of results grouped by products detected in the query image. Each
  /// entry corresponds to one bounding polygon in the query image, and contains
  /// the matching products specific to that region. There may be duplicate
  /// product matches in the union of all the per-product results.
  core.List<GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult>
      productGroupedResults;

  /// List of results, one for each product match.
  core.List<GoogleCloudVisionV1p2beta1ProductSearchResultsResult> results;

  GoogleCloudVisionV1p2beta1ProductSearchResults();

  GoogleCloudVisionV1p2beta1ProductSearchResults.fromJson(core.Map _json) {
    if (_json.containsKey('indexTime')) {
      indexTime = _json['indexTime'] as core.String;
    }
    if (_json.containsKey('productGroupedResults')) {
      productGroupedResults = (_json['productGroupedResults'] as core.List)
          .map<GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult>(
              (value) =>
                  GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult
                      .fromJson(value))
          .toList();
    }
    if (_json.containsKey('results')) {
      results = (_json['results'] as core.List)
          .map<GoogleCloudVisionV1p2beta1ProductSearchResultsResult>((value) =>
              GoogleCloudVisionV1p2beta1ProductSearchResultsResult.fromJson(
                  value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (indexTime != null) {
      _json['indexTime'] = indexTime;
    }
    if (productGroupedResults != null) {
      _json['productGroupedResults'] =
          productGroupedResults.map((value) => value.toJson()).toList();
    }
    if (results != null) {
      _json['results'] = results.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Information about the products similar to a single product in a query image.
class GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult {
  /// The bounding polygon around the product detected in the query image.
  GoogleCloudVisionV1p2beta1BoundingPoly boundingPoly;

  /// List of generic predictions for the object in the bounding box.
  core.List<GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation>
      objectAnnotations;

  /// List of results, one for each product match.
  core.List<GoogleCloudVisionV1p2beta1ProductSearchResultsResult> results;

  GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult();

  GoogleCloudVisionV1p2beta1ProductSearchResultsGroupedResult.fromJson(
      core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('objectAnnotations')) {
      objectAnnotations = (_json['objectAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation>(
              (value) =>
                  GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation
                      .fromJson(value))
          .toList();
    }
    if (_json.containsKey('results')) {
      results = (_json['results'] as core.List)
          .map<GoogleCloudVisionV1p2beta1ProductSearchResultsResult>((value) =>
              GoogleCloudVisionV1p2beta1ProductSearchResultsResult.fromJson(
                  value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (objectAnnotations != null) {
      _json['objectAnnotations'] =
          objectAnnotations.map((value) => value.toJson()).toList();
    }
    if (results != null) {
      _json['results'] = results.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Prediction for what the object in the bounding box is.
class GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation {
  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  /// Object ID that should align with EntityAnnotation mid.
  core.String mid;

  /// Object name, expressed in its `language_code` language.
  core.String name;

  /// Score of the result. Range [0, 1].
  core.double score;

  GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation();

  GoogleCloudVisionV1p2beta1ProductSearchResultsObjectAnnotation.fromJson(
      core.Map _json) {
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Information about a product.
class GoogleCloudVisionV1p2beta1ProductSearchResultsResult {
  /// The resource name of the image from the product that is the closest match
  /// to the query.
  core.String image;

  /// The Product.
  GoogleCloudVisionV1p2beta1Product product;

  /// A confidence level on the match, ranging from 0 (no confidence) to 1 (full
  /// confidence).
  core.double score;

  GoogleCloudVisionV1p2beta1ProductSearchResultsResult();

  GoogleCloudVisionV1p2beta1ProductSearchResultsResult.fromJson(
      core.Map _json) {
    if (_json.containsKey('image')) {
      image = _json['image'] as core.String;
    }
    if (_json.containsKey('product')) {
      product = GoogleCloudVisionV1p2beta1Product.fromJson(_json['product']);
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (image != null) {
      _json['image'] = image;
    }
    if (product != null) {
      _json['product'] = product.toJson();
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// A `Property` consists of a user-supplied name/value pair.
class GoogleCloudVisionV1p2beta1Property {
  /// Name of the property.
  core.String name;

  /// Value of numeric properties.
  core.String uint64Value;

  /// Value of the property.
  core.String value;

  GoogleCloudVisionV1p2beta1Property();

  GoogleCloudVisionV1p2beta1Property.fromJson(core.Map _json) {
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('uint64Value')) {
      uint64Value = _json['uint64Value'] as core.String;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (name != null) {
      _json['name'] = name;
    }
    if (uint64Value != null) {
      _json['uint64Value'] = uint64Value;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// Set of features pertaining to the image, computed by computer vision methods
/// over safe-search verticals (for example, adult, spoof, medical, violence).
class GoogleCloudVisionV1p2beta1SafeSearchAnnotation {
  /// Represents the adult content likelihood for the image. Adult content may
  /// contain elements such as nudity, pornographic images or cartoons, or
  /// sexual activities.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String adult;

  /// Likelihood that this is a medical image.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String medical;

  /// Likelihood that the request image contains racy content. Racy content may
  /// include (but is not limited to) skimpy or sheer clothing, strategically
  /// covered nudity, lewd or provocative poses, or close-ups of sensitive body
  /// areas.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String racy;

  /// Spoof likelihood. The likelihood that an modification was made to the
  /// image's canonical version to make it appear funny or offensive.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String spoof;

  /// Likelihood that this image contains violent content.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String violence;

  GoogleCloudVisionV1p2beta1SafeSearchAnnotation();

  GoogleCloudVisionV1p2beta1SafeSearchAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('adult')) {
      adult = _json['adult'] as core.String;
    }
    if (_json.containsKey('medical')) {
      medical = _json['medical'] as core.String;
    }
    if (_json.containsKey('racy')) {
      racy = _json['racy'] as core.String;
    }
    if (_json.containsKey('spoof')) {
      spoof = _json['spoof'] as core.String;
    }
    if (_json.containsKey('violence')) {
      violence = _json['violence'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (adult != null) {
      _json['adult'] = adult;
    }
    if (medical != null) {
      _json['medical'] = medical;
    }
    if (racy != null) {
      _json['racy'] = racy;
    }
    if (spoof != null) {
      _json['spoof'] = spoof;
    }
    if (violence != null) {
      _json['violence'] = violence;
    }
    return _json;
  }
}

/// A single symbol representation.
class GoogleCloudVisionV1p2beta1Symbol {
  /// The bounding box for the symbol. The vertices are in the order of
  /// top-left, top-right, bottom-right, bottom-left. When a rotation of the
  /// bounding box is detected the rotation is represented as around the
  /// top-left corner as defined when the text is read in the 'natural'
  /// orientation. For example: * when the text is horizontal it might look
  /// like: 0----1 | | 3----2 * when it's rotated 180 degrees around the
  /// top-left corner it becomes: 2----3 | | 1----0 and the vertex order will
  /// still be (0, 1, 2, 3).
  GoogleCloudVisionV1p2beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the symbol. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the symbol.
  GoogleCloudVisionV1p2beta1TextAnnotationTextProperty property;

  /// The actual UTF-8 representation of the symbol.
  core.String text;

  GoogleCloudVisionV1p2beta1Symbol();

  GoogleCloudVisionV1p2beta1Symbol.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p2beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('text')) {
      text = _json['text'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (text != null) {
      _json['text'] = text;
    }
    return _json;
  }
}

/// TextAnnotation contains a structured representation of OCR extracted text.
/// The hierarchy of an OCR extracted text structure is like this:
/// TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each
/// structural component, starting from Page, may further have their own
/// properties. Properties describe detected languages, breaks etc.. Please
/// refer to the TextAnnotation.TextProperty message definition below for more
/// detail.
class GoogleCloudVisionV1p2beta1TextAnnotation {
  /// List of pages detected by OCR.
  core.List<GoogleCloudVisionV1p2beta1Page> pages;

  /// UTF-8 text detected on the pages.
  core.String text;

  GoogleCloudVisionV1p2beta1TextAnnotation();

  GoogleCloudVisionV1p2beta1TextAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('pages')) {
      pages = (_json['pages'] as core.List)
          .map<GoogleCloudVisionV1p2beta1Page>(
              (value) => GoogleCloudVisionV1p2beta1Page.fromJson(value))
          .toList();
    }
    if (_json.containsKey('text')) {
      text = _json['text'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pages != null) {
      _json['pages'] = pages.map((value) => value.toJson()).toList();
    }
    if (text != null) {
      _json['text'] = text;
    }
    return _json;
  }
}

/// Detected start or end of a structural component.
class GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak {
  /// True if break prepends the element.
  core.bool isPrefix;

  /// Detected break type.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown break label type.
  /// - "SPACE" : Regular space.
  /// - "SURE_SPACE" : Sure space (very wide).
  /// - "EOL_SURE_SPACE" : Line-wrapping break.
  /// - "HYPHEN" : End-line hyphen that is not present in text; does not
  /// co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.
  /// - "LINE_BREAK" : Line break that ends a paragraph.
  core.String type;

  GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak();

  GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak.fromJson(
      core.Map _json) {
    if (_json.containsKey('isPrefix')) {
      isPrefix = _json['isPrefix'] as core.bool;
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// Detected language for a structural component.
class GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage {
  /// Confidence of detected language. Range [0, 1].
  core.double confidence;

  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage();

  GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage.fromJson(
      core.Map _json) {
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    return _json;
  }
}

/// Additional information detected on the structural component.
class GoogleCloudVisionV1p2beta1TextAnnotationTextProperty {
  /// Detected start or end of a text segment.
  GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak detectedBreak;

  /// A list of detected languages together with confidence.
  core.List<GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage>
      detectedLanguages;

  GoogleCloudVisionV1p2beta1TextAnnotationTextProperty();

  GoogleCloudVisionV1p2beta1TextAnnotationTextProperty.fromJson(
      core.Map _json) {
    if (_json.containsKey('detectedBreak')) {
      detectedBreak =
          GoogleCloudVisionV1p2beta1TextAnnotationDetectedBreak.fromJson(
              _json['detectedBreak']);
    }
    if (_json.containsKey('detectedLanguages')) {
      detectedLanguages = (_json['detectedLanguages'] as core.List)
          .map<GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage>(
              (value) =>
                  GoogleCloudVisionV1p2beta1TextAnnotationDetectedLanguage
                      .fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (detectedBreak != null) {
      _json['detectedBreak'] = detectedBreak.toJson();
    }
    if (detectedLanguages != null) {
      _json['detectedLanguages'] =
          detectedLanguages.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A vertex represents a 2D point in the image. NOTE: the vertex coordinates
/// are in the same scale as the original image.
class GoogleCloudVisionV1p2beta1Vertex {
  /// X coordinate.
  core.int x;

  /// Y coordinate.
  core.int y;

  GoogleCloudVisionV1p2beta1Vertex();

  GoogleCloudVisionV1p2beta1Vertex.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = _json['x'] as core.int;
    }
    if (_json.containsKey('y')) {
      y = _json['y'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    return _json;
  }
}

/// Relevant information for the image from the Internet.
class GoogleCloudVisionV1p2beta1WebDetection {
  /// The service's best guess as to the topic of the request image. Inferred
  /// from similar images on the open web.
  core.List<GoogleCloudVisionV1p2beta1WebDetectionWebLabel> bestGuessLabels;

  /// Fully matching images from the Internet. Can include resized copies of the
  /// query image.
  core.List<GoogleCloudVisionV1p2beta1WebDetectionWebImage> fullMatchingImages;

  /// Web pages containing the matching images from the Internet.
  core.List<GoogleCloudVisionV1p2beta1WebDetectionWebPage>
      pagesWithMatchingImages;

  /// Partial matching images from the Internet. Those images are similar enough
  /// to share some key-point features. For example an original image will
  /// likely have partial matching for its crops.
  core.List<GoogleCloudVisionV1p2beta1WebDetectionWebImage>
      partialMatchingImages;

  /// The visually similar image results.
  core.List<GoogleCloudVisionV1p2beta1WebDetectionWebImage>
      visuallySimilarImages;

  /// Deduced entities from similar images on the Internet.
  core.List<GoogleCloudVisionV1p2beta1WebDetectionWebEntity> webEntities;

  GoogleCloudVisionV1p2beta1WebDetection();

  GoogleCloudVisionV1p2beta1WebDetection.fromJson(core.Map _json) {
    if (_json.containsKey('bestGuessLabels')) {
      bestGuessLabels = (_json['bestGuessLabels'] as core.List)
          .map<GoogleCloudVisionV1p2beta1WebDetectionWebLabel>((value) =>
              GoogleCloudVisionV1p2beta1WebDetectionWebLabel.fromJson(value))
          .toList();
    }
    if (_json.containsKey('fullMatchingImages')) {
      fullMatchingImages = (_json['fullMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p2beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p2beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('pagesWithMatchingImages')) {
      pagesWithMatchingImages = (_json['pagesWithMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p2beta1WebDetectionWebPage>((value) =>
              GoogleCloudVisionV1p2beta1WebDetectionWebPage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('partialMatchingImages')) {
      partialMatchingImages = (_json['partialMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p2beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p2beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('visuallySimilarImages')) {
      visuallySimilarImages = (_json['visuallySimilarImages'] as core.List)
          .map<GoogleCloudVisionV1p2beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p2beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('webEntities')) {
      webEntities = (_json['webEntities'] as core.List)
          .map<GoogleCloudVisionV1p2beta1WebDetectionWebEntity>((value) =>
              GoogleCloudVisionV1p2beta1WebDetectionWebEntity.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (bestGuessLabels != null) {
      _json['bestGuessLabels'] =
          bestGuessLabels.map((value) => value.toJson()).toList();
    }
    if (fullMatchingImages != null) {
      _json['fullMatchingImages'] =
          fullMatchingImages.map((value) => value.toJson()).toList();
    }
    if (pagesWithMatchingImages != null) {
      _json['pagesWithMatchingImages'] =
          pagesWithMatchingImages.map((value) => value.toJson()).toList();
    }
    if (partialMatchingImages != null) {
      _json['partialMatchingImages'] =
          partialMatchingImages.map((value) => value.toJson()).toList();
    }
    if (visuallySimilarImages != null) {
      _json['visuallySimilarImages'] =
          visuallySimilarImages.map((value) => value.toJson()).toList();
    }
    if (webEntities != null) {
      _json['webEntities'] =
          webEntities.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Entity deduced from similar images on the Internet.
class GoogleCloudVisionV1p2beta1WebDetectionWebEntity {
  /// Canonical description of the entity, in English.
  core.String description;

  /// Opaque entity ID.
  core.String entityId;

  /// Overall relevancy score for the entity. Not normalized and not comparable
  /// across different image queries.
  core.double score;

  GoogleCloudVisionV1p2beta1WebDetectionWebEntity();

  GoogleCloudVisionV1p2beta1WebDetectionWebEntity.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('entityId')) {
      entityId = _json['entityId'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (entityId != null) {
      _json['entityId'] = entityId;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Metadata for online images.
class GoogleCloudVisionV1p2beta1WebDetectionWebImage {
  /// (Deprecated) Overall relevancy score for the image.
  core.double score;

  /// The result image URL.
  core.String url;

  GoogleCloudVisionV1p2beta1WebDetectionWebImage();

  GoogleCloudVisionV1p2beta1WebDetectionWebImage.fromJson(core.Map _json) {
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('url')) {
      url = _json['url'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (score != null) {
      _json['score'] = score;
    }
    if (url != null) {
      _json['url'] = url;
    }
    return _json;
  }
}

/// Label to provide extra metadata for the web detection.
class GoogleCloudVisionV1p2beta1WebDetectionWebLabel {
  /// Label for extra metadata.
  core.String label;

  /// The BCP-47 language code for `label`, such as "en-US" or "sr-Latn". For
  /// more information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  GoogleCloudVisionV1p2beta1WebDetectionWebLabel();

  GoogleCloudVisionV1p2beta1WebDetectionWebLabel.fromJson(core.Map _json) {
    if (_json.containsKey('label')) {
      label = _json['label'] as core.String;
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (label != null) {
      _json['label'] = label;
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    return _json;
  }
}

/// Metadata for web pages.
class GoogleCloudVisionV1p2beta1WebDetectionWebPage {
  /// Fully matching images on the page. Can include resized copies of the query
  /// image.
  core.List<GoogleCloudVisionV1p2beta1WebDetectionWebImage> fullMatchingImages;

  /// Title for the web page, may contain HTML markups.
  core.String pageTitle;

  /// Partial matching images on the page. Those images are similar enough to
  /// share some key-point features. For example an original image will likely
  /// have partial matching for its crops.
  core.List<GoogleCloudVisionV1p2beta1WebDetectionWebImage>
      partialMatchingImages;

  /// (Deprecated) Overall relevancy score for the web page.
  core.double score;

  /// The result web page URL.
  core.String url;

  GoogleCloudVisionV1p2beta1WebDetectionWebPage();

  GoogleCloudVisionV1p2beta1WebDetectionWebPage.fromJson(core.Map _json) {
    if (_json.containsKey('fullMatchingImages')) {
      fullMatchingImages = (_json['fullMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p2beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p2beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('pageTitle')) {
      pageTitle = _json['pageTitle'] as core.String;
    }
    if (_json.containsKey('partialMatchingImages')) {
      partialMatchingImages = (_json['partialMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p2beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p2beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('url')) {
      url = _json['url'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (fullMatchingImages != null) {
      _json['fullMatchingImages'] =
          fullMatchingImages.map((value) => value.toJson()).toList();
    }
    if (pageTitle != null) {
      _json['pageTitle'] = pageTitle;
    }
    if (partialMatchingImages != null) {
      _json['partialMatchingImages'] =
          partialMatchingImages.map((value) => value.toJson()).toList();
    }
    if (score != null) {
      _json['score'] = score;
    }
    if (url != null) {
      _json['url'] = url;
    }
    return _json;
  }
}

/// A word representation.
class GoogleCloudVisionV1p2beta1Word {
  /// The bounding box for the word. The vertices are in the order of top-left,
  /// top-right, bottom-right, bottom-left. When a rotation of the bounding box
  /// is detected the rotation is represented as around the top-left corner as
  /// defined when the text is read in the 'natural' orientation. For example: *
  /// when the text is horizontal it might look like: 0----1 | | 3----2 * when
  /// it's rotated 180 degrees around the top-left corner it becomes: 2----3 | |
  /// 1----0 and the vertex order will still be (0, 1, 2, 3).
  GoogleCloudVisionV1p2beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the word. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the word.
  GoogleCloudVisionV1p2beta1TextAnnotationTextProperty property;

  /// List of symbols in the word. The order of the symbols follows the natural
  /// reading order.
  core.List<GoogleCloudVisionV1p2beta1Symbol> symbols;

  GoogleCloudVisionV1p2beta1Word();

  GoogleCloudVisionV1p2beta1Word.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p2beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p2beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('symbols')) {
      symbols = (_json['symbols'] as core.List)
          .map<GoogleCloudVisionV1p2beta1Symbol>(
              (value) => GoogleCloudVisionV1p2beta1Symbol.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (symbols != null) {
      _json['symbols'] = symbols.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Response to a single file annotation request. A file may contain one or more
/// images, which individually have their own responses.
class GoogleCloudVisionV1p3beta1AnnotateFileResponse {
  /// If set, represents the error message for the failed request. The
  /// `responses` field will not be set in this case.
  Status error;

  /// Information about the file for which this response is generated.
  GoogleCloudVisionV1p3beta1InputConfig inputConfig;

  /// Individual responses to images found within the file. This field will be
  /// empty if the `error` field is set.
  core.List<GoogleCloudVisionV1p3beta1AnnotateImageResponse> responses;

  /// This field gives the total number of pages in the file.
  core.int totalPages;

  GoogleCloudVisionV1p3beta1AnnotateFileResponse();

  GoogleCloudVisionV1p3beta1AnnotateFileResponse.fromJson(core.Map _json) {
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('inputConfig')) {
      inputConfig =
          GoogleCloudVisionV1p3beta1InputConfig.fromJson(_json['inputConfig']);
    }
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<GoogleCloudVisionV1p3beta1AnnotateImageResponse>((value) =>
              GoogleCloudVisionV1p3beta1AnnotateImageResponse.fromJson(value))
          .toList();
    }
    if (_json.containsKey('totalPages')) {
      totalPages = _json['totalPages'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (error != null) {
      _json['error'] = error.toJson();
    }
    if (inputConfig != null) {
      _json['inputConfig'] = inputConfig.toJson();
    }
    if (responses != null) {
      _json['responses'] = responses.map((value) => value.toJson()).toList();
    }
    if (totalPages != null) {
      _json['totalPages'] = totalPages;
    }
    return _json;
  }
}

/// Response to an image annotation request.
class GoogleCloudVisionV1p3beta1AnnotateImageResponse {
  /// If present, contextual information is needed to understand where this
  /// image comes from.
  GoogleCloudVisionV1p3beta1ImageAnnotationContext context;

  /// If present, crop hints have completed successfully.
  GoogleCloudVisionV1p3beta1CropHintsAnnotation cropHintsAnnotation;

  /// If set, represents the error message for the operation. Note that
  /// filled-in image annotations are guaranteed to be correct, even when
  /// `error` is set.
  Status error;

  /// If present, face detection has completed successfully.
  core.List<GoogleCloudVisionV1p3beta1FaceAnnotation> faceAnnotations;

  /// If present, text (OCR) detection or document (OCR) text detection has
  /// completed successfully. This annotation provides the structural hierarchy
  /// for the OCR detected text.
  GoogleCloudVisionV1p3beta1TextAnnotation fullTextAnnotation;

  /// If present, image properties were extracted successfully.
  GoogleCloudVisionV1p3beta1ImageProperties imagePropertiesAnnotation;

  /// If present, label detection has completed successfully.
  core.List<GoogleCloudVisionV1p3beta1EntityAnnotation> labelAnnotations;

  /// If present, landmark detection has completed successfully.
  core.List<GoogleCloudVisionV1p3beta1EntityAnnotation> landmarkAnnotations;

  /// If present, localized object detection has completed successfully. This
  /// will be sorted descending by confidence score.
  core.List<GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation>
      localizedObjectAnnotations;

  /// If present, logo detection has completed successfully.
  core.List<GoogleCloudVisionV1p3beta1EntityAnnotation> logoAnnotations;

  /// If present, product search has completed successfully.
  GoogleCloudVisionV1p3beta1ProductSearchResults productSearchResults;

  /// If present, safe-search annotation has completed successfully.
  GoogleCloudVisionV1p3beta1SafeSearchAnnotation safeSearchAnnotation;

  /// If present, text (OCR) detection has completed successfully.
  core.List<GoogleCloudVisionV1p3beta1EntityAnnotation> textAnnotations;

  /// If present, web detection has completed successfully.
  GoogleCloudVisionV1p3beta1WebDetection webDetection;

  GoogleCloudVisionV1p3beta1AnnotateImageResponse();

  GoogleCloudVisionV1p3beta1AnnotateImageResponse.fromJson(core.Map _json) {
    if (_json.containsKey('context')) {
      context = GoogleCloudVisionV1p3beta1ImageAnnotationContext.fromJson(
          _json['context']);
    }
    if (_json.containsKey('cropHintsAnnotation')) {
      cropHintsAnnotation =
          GoogleCloudVisionV1p3beta1CropHintsAnnotation.fromJson(
              _json['cropHintsAnnotation']);
    }
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('faceAnnotations')) {
      faceAnnotations = (_json['faceAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p3beta1FaceAnnotation>((value) =>
              GoogleCloudVisionV1p3beta1FaceAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('fullTextAnnotation')) {
      fullTextAnnotation = GoogleCloudVisionV1p3beta1TextAnnotation.fromJson(
          _json['fullTextAnnotation']);
    }
    if (_json.containsKey('imagePropertiesAnnotation')) {
      imagePropertiesAnnotation =
          GoogleCloudVisionV1p3beta1ImageProperties.fromJson(
              _json['imagePropertiesAnnotation']);
    }
    if (_json.containsKey('labelAnnotations')) {
      labelAnnotations = (_json['labelAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p3beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p3beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('landmarkAnnotations')) {
      landmarkAnnotations = (_json['landmarkAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p3beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p3beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('localizedObjectAnnotations')) {
      localizedObjectAnnotations = (_json['localizedObjectAnnotations']
              as core.List)
          .map<GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation>((value) =>
              GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation.fromJson(
                  value))
          .toList();
    }
    if (_json.containsKey('logoAnnotations')) {
      logoAnnotations = (_json['logoAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p3beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p3beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('productSearchResults')) {
      productSearchResults =
          GoogleCloudVisionV1p3beta1ProductSearchResults.fromJson(
              _json['productSearchResults']);
    }
    if (_json.containsKey('safeSearchAnnotation')) {
      safeSearchAnnotation =
          GoogleCloudVisionV1p3beta1SafeSearchAnnotation.fromJson(
              _json['safeSearchAnnotation']);
    }
    if (_json.containsKey('textAnnotations')) {
      textAnnotations = (_json['textAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p3beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p3beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('webDetection')) {
      webDetection = GoogleCloudVisionV1p3beta1WebDetection.fromJson(
          _json['webDetection']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (context != null) {
      _json['context'] = context.toJson();
    }
    if (cropHintsAnnotation != null) {
      _json['cropHintsAnnotation'] = cropHintsAnnotation.toJson();
    }
    if (error != null) {
      _json['error'] = error.toJson();
    }
    if (faceAnnotations != null) {
      _json['faceAnnotations'] =
          faceAnnotations.map((value) => value.toJson()).toList();
    }
    if (fullTextAnnotation != null) {
      _json['fullTextAnnotation'] = fullTextAnnotation.toJson();
    }
    if (imagePropertiesAnnotation != null) {
      _json['imagePropertiesAnnotation'] = imagePropertiesAnnotation.toJson();
    }
    if (labelAnnotations != null) {
      _json['labelAnnotations'] =
          labelAnnotations.map((value) => value.toJson()).toList();
    }
    if (landmarkAnnotations != null) {
      _json['landmarkAnnotations'] =
          landmarkAnnotations.map((value) => value.toJson()).toList();
    }
    if (localizedObjectAnnotations != null) {
      _json['localizedObjectAnnotations'] =
          localizedObjectAnnotations.map((value) => value.toJson()).toList();
    }
    if (logoAnnotations != null) {
      _json['logoAnnotations'] =
          logoAnnotations.map((value) => value.toJson()).toList();
    }
    if (productSearchResults != null) {
      _json['productSearchResults'] = productSearchResults.toJson();
    }
    if (safeSearchAnnotation != null) {
      _json['safeSearchAnnotation'] = safeSearchAnnotation.toJson();
    }
    if (textAnnotations != null) {
      _json['textAnnotations'] =
          textAnnotations.map((value) => value.toJson()).toList();
    }
    if (webDetection != null) {
      _json['webDetection'] = webDetection.toJson();
    }
    return _json;
  }
}

/// The response for a single offline file annotation request.
class GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse {
  /// The output location and metadata from AsyncAnnotateFileRequest.
  GoogleCloudVisionV1p3beta1OutputConfig outputConfig;

  GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse();

  GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse.fromJson(core.Map _json) {
    if (_json.containsKey('outputConfig')) {
      outputConfig = GoogleCloudVisionV1p3beta1OutputConfig.fromJson(
          _json['outputConfig']);
    }
  }

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

/// Response to an async batch file annotation request.
class GoogleCloudVisionV1p3beta1AsyncBatchAnnotateFilesResponse {
  /// The list of file annotation responses, one for each request in
  /// AsyncBatchAnnotateFilesRequest.
  core.List<GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse> responses;

  GoogleCloudVisionV1p3beta1AsyncBatchAnnotateFilesResponse();

  GoogleCloudVisionV1p3beta1AsyncBatchAnnotateFilesResponse.fromJson(
      core.Map _json) {
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse>((value) =>
              GoogleCloudVisionV1p3beta1AsyncAnnotateFileResponse.fromJson(
                  value))
          .toList();
    }
  }

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

/// Metadata for the batch operations such as the current state. This is
/// included in the `metadata` field of the `Operation` returned by the
/// `GetOperation` call of the `google::longrunning::Operations` service.
class GoogleCloudVisionV1p3beta1BatchOperationMetadata {
  /// The time when the batch request is finished and
  /// google.longrunning.Operation.done is set to true.
  core.String endTime;

  /// The current state of the batch operation.
  /// Possible string values are:
  /// - "STATE_UNSPECIFIED" : Invalid.
  /// - "PROCESSING" : Request is actively being processed.
  /// - "SUCCESSFUL" : The request is done and at least one item has been
  /// successfully processed.
  /// - "FAILED" : The request is done and no item has been successfully
  /// processed.
  /// - "CANCELLED" : The request is done after the
  /// longrunning.Operations.CancelOperation has been called by the user. Any
  /// records that were processed before the cancel command are output as
  /// specified in the request.
  core.String state;

  /// The time when the batch request was submitted to the server.
  core.String submitTime;

  GoogleCloudVisionV1p3beta1BatchOperationMetadata();

  GoogleCloudVisionV1p3beta1BatchOperationMetadata.fromJson(core.Map _json) {
    if (_json.containsKey('endTime')) {
      endTime = _json['endTime'] as core.String;
    }
    if (_json.containsKey('state')) {
      state = _json['state'] as core.String;
    }
    if (_json.containsKey('submitTime')) {
      submitTime = _json['submitTime'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (endTime != null) {
      _json['endTime'] = endTime;
    }
    if (state != null) {
      _json['state'] = state;
    }
    if (submitTime != null) {
      _json['submitTime'] = submitTime;
    }
    return _json;
  }
}

/// Logical element on the page.
class GoogleCloudVisionV1p3beta1Block {
  /// Detected block type (text, image etc) for this block.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown block type.
  /// - "TEXT" : Regular text block.
  /// - "TABLE" : Table block.
  /// - "PICTURE" : Image block.
  /// - "RULER" : Horizontal/vertical line box.
  /// - "BARCODE" : Barcode block.
  core.String blockType;

  /// The bounding box for the block. The vertices are in the order of top-left,
  /// top-right, bottom-right, bottom-left. When a rotation of the bounding box
  /// is detected the rotation is represented as around the top-left corner as
  /// defined when the text is read in the 'natural' orientation. For example: *
  /// when the text is horizontal it might look like: 0----1 | | 3----2 * when
  /// it's rotated 180 degrees around the top-left corner it becomes: 2----3 | |
  /// 1----0 and the vertex order will still be (0, 1, 2, 3).
  GoogleCloudVisionV1p3beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results on the block. Range [0, 1].
  core.double confidence;

  /// List of paragraphs in this block (if this blocks is of type text).
  core.List<GoogleCloudVisionV1p3beta1Paragraph> paragraphs;

  /// Additional information detected for the block.
  GoogleCloudVisionV1p3beta1TextAnnotationTextProperty property;

  GoogleCloudVisionV1p3beta1Block();

  GoogleCloudVisionV1p3beta1Block.fromJson(core.Map _json) {
    if (_json.containsKey('blockType')) {
      blockType = _json['blockType'] as core.String;
    }
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('paragraphs')) {
      paragraphs = (_json['paragraphs'] as core.List)
          .map<GoogleCloudVisionV1p3beta1Paragraph>(
              (value) => GoogleCloudVisionV1p3beta1Paragraph.fromJson(value))
          .toList();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p3beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (blockType != null) {
      _json['blockType'] = blockType;
    }
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (paragraphs != null) {
      _json['paragraphs'] = paragraphs.map((value) => value.toJson()).toList();
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    return _json;
  }
}

/// A bounding polygon for the detected image annotation.
class GoogleCloudVisionV1p3beta1BoundingPoly {
  /// The bounding polygon normalized vertices.
  core.List<GoogleCloudVisionV1p3beta1NormalizedVertex> normalizedVertices;

  /// The bounding polygon vertices.
  core.List<GoogleCloudVisionV1p3beta1Vertex> vertices;

  GoogleCloudVisionV1p3beta1BoundingPoly();

  GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(core.Map _json) {
    if (_json.containsKey('normalizedVertices')) {
      normalizedVertices = (_json['normalizedVertices'] as core.List)
          .map<GoogleCloudVisionV1p3beta1NormalizedVertex>((value) =>
              GoogleCloudVisionV1p3beta1NormalizedVertex.fromJson(value))
          .toList();
    }
    if (_json.containsKey('vertices')) {
      vertices = (_json['vertices'] as core.List)
          .map<GoogleCloudVisionV1p3beta1Vertex>(
              (value) => GoogleCloudVisionV1p3beta1Vertex.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (normalizedVertices != null) {
      _json['normalizedVertices'] =
          normalizedVertices.map((value) => value.toJson()).toList();
    }
    if (vertices != null) {
      _json['vertices'] = vertices.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Color information consists of RGB channels, score, and the fraction of the
/// image that the color occupies in the image.
class GoogleCloudVisionV1p3beta1ColorInfo {
  /// RGB components of the color.
  Color color;

  /// The fraction of pixels the color occupies in the image. Value in range [0,
  /// 1].
  core.double pixelFraction;

  /// Image-specific score for this color. Value in range [0, 1].
  core.double score;

  GoogleCloudVisionV1p3beta1ColorInfo();

  GoogleCloudVisionV1p3beta1ColorInfo.fromJson(core.Map _json) {
    if (_json.containsKey('color')) {
      color = Color.fromJson(_json['color']);
    }
    if (_json.containsKey('pixelFraction')) {
      pixelFraction = (_json['pixelFraction'] as core.num).toDouble();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (color != null) {
      _json['color'] = color.toJson();
    }
    if (pixelFraction != null) {
      _json['pixelFraction'] = pixelFraction;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Single crop hint that is used to generate a new crop when serving an image.
class GoogleCloudVisionV1p3beta1CropHint {
  /// The bounding polygon for the crop region. The coordinates of the bounding
  /// box are in the original image's scale.
  GoogleCloudVisionV1p3beta1BoundingPoly boundingPoly;

  /// Confidence of this being a salient region. Range [0, 1].
  core.double confidence;

  /// Fraction of importance of this salient region with respect to the original
  /// image.
  core.double importanceFraction;

  GoogleCloudVisionV1p3beta1CropHint();

  GoogleCloudVisionV1p3beta1CropHint.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('importanceFraction')) {
      importanceFraction = (_json['importanceFraction'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (importanceFraction != null) {
      _json['importanceFraction'] = importanceFraction;
    }
    return _json;
  }
}

/// Set of crop hints that are used to generate new crops when serving images.
class GoogleCloudVisionV1p3beta1CropHintsAnnotation {
  /// Crop hint results.
  core.List<GoogleCloudVisionV1p3beta1CropHint> cropHints;

  GoogleCloudVisionV1p3beta1CropHintsAnnotation();

  GoogleCloudVisionV1p3beta1CropHintsAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('cropHints')) {
      cropHints = (_json['cropHints'] as core.List)
          .map<GoogleCloudVisionV1p3beta1CropHint>(
              (value) => GoogleCloudVisionV1p3beta1CropHint.fromJson(value))
          .toList();
    }
  }

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

/// Set of dominant colors and their corresponding scores.
class GoogleCloudVisionV1p3beta1DominantColorsAnnotation {
  /// RGB color values with their score and pixel fraction.
  core.List<GoogleCloudVisionV1p3beta1ColorInfo> colors;

  GoogleCloudVisionV1p3beta1DominantColorsAnnotation();

  GoogleCloudVisionV1p3beta1DominantColorsAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('colors')) {
      colors = (_json['colors'] as core.List)
          .map<GoogleCloudVisionV1p3beta1ColorInfo>(
              (value) => GoogleCloudVisionV1p3beta1ColorInfo.fromJson(value))
          .toList();
    }
  }

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

/// Set of detected entity features.
class GoogleCloudVisionV1p3beta1EntityAnnotation {
  /// Image region to which this entity belongs. Not produced for
  /// `LABEL_DETECTION` features.
  GoogleCloudVisionV1p3beta1BoundingPoly boundingPoly;

  /// **Deprecated. Use `score` instead.** The accuracy of the entity detection
  /// in an image. For example, for an image in which the "Eiffel Tower" entity
  /// is detected, this field represents the confidence that there is a tower in
  /// the query image. Range [0, 1].
  core.double confidence;

  /// Entity textual description, expressed in its `locale` language.
  core.String description;

  /// The language code for the locale in which the entity textual `description`
  /// is expressed.
  core.String locale;

  /// The location information for the detected entity. Multiple `LocationInfo`
  /// elements can be present because one location may indicate the location of
  /// the scene in the image, and another location may indicate the location of
  /// the place where the image was taken. Location information is usually
  /// present for landmarks.
  core.List<GoogleCloudVisionV1p3beta1LocationInfo> locations;

  /// Opaque entity ID. Some IDs may be available in [Google Knowledge Graph
  /// Search API](https://developers.google.com/knowledge-graph/).
  core.String mid;

  /// Some entities may have optional user-supplied `Property` (name/value)
  /// fields, such a score or string that qualifies the entity.
  core.List<GoogleCloudVisionV1p3beta1Property> properties;

  /// Overall score of the result. Range [0, 1].
  core.double score;

  /// The relevancy of the ICA (Image Content Annotation) label to the image.
  /// For example, the relevancy of "tower" is likely higher to an image
  /// containing the detected "Eiffel Tower" than to an image containing a
  /// detected distant towering building, even though the confidence that there
  /// is a tower in each image may be the same. Range [0, 1].
  core.double topicality;

  GoogleCloudVisionV1p3beta1EntityAnnotation();

  GoogleCloudVisionV1p3beta1EntityAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('locale')) {
      locale = _json['locale'] as core.String;
    }
    if (_json.containsKey('locations')) {
      locations = (_json['locations'] as core.List)
          .map<GoogleCloudVisionV1p3beta1LocationInfo>(
              (value) => GoogleCloudVisionV1p3beta1LocationInfo.fromJson(value))
          .toList();
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('properties')) {
      properties = (_json['properties'] as core.List)
          .map<GoogleCloudVisionV1p3beta1Property>(
              (value) => GoogleCloudVisionV1p3beta1Property.fromJson(value))
          .toList();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('topicality')) {
      topicality = (_json['topicality'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (description != null) {
      _json['description'] = description;
    }
    if (locale != null) {
      _json['locale'] = locale;
    }
    if (locations != null) {
      _json['locations'] = locations.map((value) => value.toJson()).toList();
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (properties != null) {
      _json['properties'] = properties.map((value) => value.toJson()).toList();
    }
    if (score != null) {
      _json['score'] = score;
    }
    if (topicality != null) {
      _json['topicality'] = topicality;
    }
    return _json;
  }
}

/// A face annotation object contains the results of face detection.
class GoogleCloudVisionV1p3beta1FaceAnnotation {
  /// Anger likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String angerLikelihood;

  /// Blurred likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String blurredLikelihood;

  /// The bounding polygon around the face. The coordinates of the bounding box
  /// are in the original image's scale. The bounding box is computed to "frame"
  /// the face in accordance with human expectations. It is based on the
  /// landmarker results. Note that one or more x and/or y coordinates may not
  /// be generated in the `BoundingPoly` (the polygon will be unbounded) if only
  /// a partial face appears in the image to be annotated.
  GoogleCloudVisionV1p3beta1BoundingPoly boundingPoly;

  /// Detection confidence. Range [0, 1].
  core.double detectionConfidence;

  /// The `fd_bounding_poly` bounding polygon is tighter than the
  /// `boundingPoly`, and encloses only the skin part of the face. Typically, it
  /// is used to eliminate the face from any image analysis that detects the
  /// "amount of skin" visible in an image. It is not based on the landmarker
  /// results, only on the initial face detection, hence the fd (face detection)
  /// prefix.
  GoogleCloudVisionV1p3beta1BoundingPoly fdBoundingPoly;

  /// Headwear likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String headwearLikelihood;

  /// Joy likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String joyLikelihood;

  /// Face landmarking confidence. Range [0, 1].
  core.double landmarkingConfidence;

  /// Detected face landmarks.
  core.List<GoogleCloudVisionV1p3beta1FaceAnnotationLandmark> landmarks;

  /// Yaw angle, which indicates the leftward/rightward angle that the face is
  /// pointing relative to the vertical plane perpendicular to the image. Range
  /// [-180,180].
  core.double panAngle;

  /// Roll angle, which indicates the amount of clockwise/anti-clockwise
  /// rotation of the face relative to the image vertical about the axis
  /// perpendicular to the face. Range [-180,180].
  core.double rollAngle;

  /// Sorrow likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String sorrowLikelihood;

  /// Surprise likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String surpriseLikelihood;

  /// Pitch angle, which indicates the upwards/downwards angle that the face is
  /// pointing relative to the image's horizontal plane. Range [-180,180].
  core.double tiltAngle;

  /// Under-exposed likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String underExposedLikelihood;

  GoogleCloudVisionV1p3beta1FaceAnnotation();

  GoogleCloudVisionV1p3beta1FaceAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('angerLikelihood')) {
      angerLikelihood = _json['angerLikelihood'] as core.String;
    }
    if (_json.containsKey('blurredLikelihood')) {
      blurredLikelihood = _json['blurredLikelihood'] as core.String;
    }
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('detectionConfidence')) {
      detectionConfidence =
          (_json['detectionConfidence'] as core.num).toDouble();
    }
    if (_json.containsKey('fdBoundingPoly')) {
      fdBoundingPoly = GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(
          _json['fdBoundingPoly']);
    }
    if (_json.containsKey('headwearLikelihood')) {
      headwearLikelihood = _json['headwearLikelihood'] as core.String;
    }
    if (_json.containsKey('joyLikelihood')) {
      joyLikelihood = _json['joyLikelihood'] as core.String;
    }
    if (_json.containsKey('landmarkingConfidence')) {
      landmarkingConfidence =
          (_json['landmarkingConfidence'] as core.num).toDouble();
    }
    if (_json.containsKey('landmarks')) {
      landmarks = (_json['landmarks'] as core.List)
          .map<GoogleCloudVisionV1p3beta1FaceAnnotationLandmark>((value) =>
              GoogleCloudVisionV1p3beta1FaceAnnotationLandmark.fromJson(value))
          .toList();
    }
    if (_json.containsKey('panAngle')) {
      panAngle = (_json['panAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('rollAngle')) {
      rollAngle = (_json['rollAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('sorrowLikelihood')) {
      sorrowLikelihood = _json['sorrowLikelihood'] as core.String;
    }
    if (_json.containsKey('surpriseLikelihood')) {
      surpriseLikelihood = _json['surpriseLikelihood'] as core.String;
    }
    if (_json.containsKey('tiltAngle')) {
      tiltAngle = (_json['tiltAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('underExposedLikelihood')) {
      underExposedLikelihood = _json['underExposedLikelihood'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (angerLikelihood != null) {
      _json['angerLikelihood'] = angerLikelihood;
    }
    if (blurredLikelihood != null) {
      _json['blurredLikelihood'] = blurredLikelihood;
    }
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (detectionConfidence != null) {
      _json['detectionConfidence'] = detectionConfidence;
    }
    if (fdBoundingPoly != null) {
      _json['fdBoundingPoly'] = fdBoundingPoly.toJson();
    }
    if (headwearLikelihood != null) {
      _json['headwearLikelihood'] = headwearLikelihood;
    }
    if (joyLikelihood != null) {
      _json['joyLikelihood'] = joyLikelihood;
    }
    if (landmarkingConfidence != null) {
      _json['landmarkingConfidence'] = landmarkingConfidence;
    }
    if (landmarks != null) {
      _json['landmarks'] = landmarks.map((value) => value.toJson()).toList();
    }
    if (panAngle != null) {
      _json['panAngle'] = panAngle;
    }
    if (rollAngle != null) {
      _json['rollAngle'] = rollAngle;
    }
    if (sorrowLikelihood != null) {
      _json['sorrowLikelihood'] = sorrowLikelihood;
    }
    if (surpriseLikelihood != null) {
      _json['surpriseLikelihood'] = surpriseLikelihood;
    }
    if (tiltAngle != null) {
      _json['tiltAngle'] = tiltAngle;
    }
    if (underExposedLikelihood != null) {
      _json['underExposedLikelihood'] = underExposedLikelihood;
    }
    return _json;
  }
}

/// A face-specific landmark (for example, a face feature).
class GoogleCloudVisionV1p3beta1FaceAnnotationLandmark {
  /// Face landmark position.
  GoogleCloudVisionV1p3beta1Position position;

  /// Face landmark type.
  /// Possible string values are:
  /// - "UNKNOWN_LANDMARK" : Unknown face landmark detected. Should not be
  /// filled.
  /// - "LEFT_EYE" : Left eye.
  /// - "RIGHT_EYE" : Right eye.
  /// - "LEFT_OF_LEFT_EYEBROW" : Left of left eyebrow.
  /// - "RIGHT_OF_LEFT_EYEBROW" : Right of left eyebrow.
  /// - "LEFT_OF_RIGHT_EYEBROW" : Left of right eyebrow.
  /// - "RIGHT_OF_RIGHT_EYEBROW" : Right of right eyebrow.
  /// - "MIDPOINT_BETWEEN_EYES" : Midpoint between eyes.
  /// - "NOSE_TIP" : Nose tip.
  /// - "UPPER_LIP" : Upper lip.
  /// - "LOWER_LIP" : Lower lip.
  /// - "MOUTH_LEFT" : Mouth left.
  /// - "MOUTH_RIGHT" : Mouth right.
  /// - "MOUTH_CENTER" : Mouth center.
  /// - "NOSE_BOTTOM_RIGHT" : Nose, bottom right.
  /// - "NOSE_BOTTOM_LEFT" : Nose, bottom left.
  /// - "NOSE_BOTTOM_CENTER" : Nose, bottom center.
  /// - "LEFT_EYE_TOP_BOUNDARY" : Left eye, top boundary.
  /// - "LEFT_EYE_RIGHT_CORNER" : Left eye, right corner.
  /// - "LEFT_EYE_BOTTOM_BOUNDARY" : Left eye, bottom boundary.
  /// - "LEFT_EYE_LEFT_CORNER" : Left eye, left corner.
  /// - "RIGHT_EYE_TOP_BOUNDARY" : Right eye, top boundary.
  /// - "RIGHT_EYE_RIGHT_CORNER" : Right eye, right corner.
  /// - "RIGHT_EYE_BOTTOM_BOUNDARY" : Right eye, bottom boundary.
  /// - "RIGHT_EYE_LEFT_CORNER" : Right eye, left corner.
  /// - "LEFT_EYEBROW_UPPER_MIDPOINT" : Left eyebrow, upper midpoint.
  /// - "RIGHT_EYEBROW_UPPER_MIDPOINT" : Right eyebrow, upper midpoint.
  /// - "LEFT_EAR_TRAGION" : Left ear tragion.
  /// - "RIGHT_EAR_TRAGION" : Right ear tragion.
  /// - "LEFT_EYE_PUPIL" : Left eye pupil.
  /// - "RIGHT_EYE_PUPIL" : Right eye pupil.
  /// - "FOREHEAD_GLABELLA" : Forehead glabella.
  /// - "CHIN_GNATHION" : Chin gnathion.
  /// - "CHIN_LEFT_GONION" : Chin left gonion.
  /// - "CHIN_RIGHT_GONION" : Chin right gonion.
  /// - "LEFT_CHEEK_CENTER" : Left cheek center.
  /// - "RIGHT_CHEEK_CENTER" : Right cheek center.
  core.String type;

  GoogleCloudVisionV1p3beta1FaceAnnotationLandmark();

  GoogleCloudVisionV1p3beta1FaceAnnotationLandmark.fromJson(core.Map _json) {
    if (_json.containsKey('position')) {
      position = GoogleCloudVisionV1p3beta1Position.fromJson(_json['position']);
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// The Google Cloud Storage location where the output will be written to.
class GoogleCloudVisionV1p3beta1GcsDestination {
  /// Google Cloud Storage URI prefix where the results will be stored. Results
  /// will be in JSON format and preceded by its corresponding input URI prefix.
  /// This field can either represent a gcs file prefix or gcs directory. In
  /// either case, the uri should be unique because in order to get all of the
  /// output files, you will need to do a wildcard gcs search on the uri prefix
  /// you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix
  /// The output files will be created in gs://bucket-name/here/ and the names
  /// of the output files will begin with "filenameprefix". * Directory Prefix:
  /// gs://bucket-name/some/location/ The output files will be created in
  /// gs://bucket-name/some/location/ and the names of the output files could be
  /// anything because there was no filename prefix specified. If multiple
  /// outputs, each response is still AnnotateFileResponse, each of which
  /// contains some subset of the full list of AnnotateImageResponse. Multiple
  /// outputs can happen if, for example, the output JSON is too large and
  /// overflows into multiple sharded files.
  core.String uri;

  GoogleCloudVisionV1p3beta1GcsDestination();

  GoogleCloudVisionV1p3beta1GcsDestination.fromJson(core.Map _json) {
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// The Google Cloud Storage location where the input will be read from.
class GoogleCloudVisionV1p3beta1GcsSource {
  /// Google Cloud Storage URI for the input file. This must only be a Google
  /// Cloud Storage object. Wildcards are not currently supported.
  core.String uri;

  GoogleCloudVisionV1p3beta1GcsSource();

  GoogleCloudVisionV1p3beta1GcsSource.fromJson(core.Map _json) {
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// If an image was produced from a file (e.g. a PDF), this message gives
/// information about the source of that image.
class GoogleCloudVisionV1p3beta1ImageAnnotationContext {
  /// If the file was a PDF or TIFF, this field gives the page number within the
  /// file used to produce the image.
  core.int pageNumber;

  /// The URI of the file used to produce the image.
  core.String uri;

  GoogleCloudVisionV1p3beta1ImageAnnotationContext();

  GoogleCloudVisionV1p3beta1ImageAnnotationContext.fromJson(core.Map _json) {
    if (_json.containsKey('pageNumber')) {
      pageNumber = _json['pageNumber'] as core.int;
    }
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pageNumber != null) {
      _json['pageNumber'] = pageNumber;
    }
    if (uri != null) {
      _json['uri'] = uri;
    }
    return _json;
  }
}

/// Stores image properties, such as dominant colors.
class GoogleCloudVisionV1p3beta1ImageProperties {
  /// If present, dominant colors completed successfully.
  GoogleCloudVisionV1p3beta1DominantColorsAnnotation dominantColors;

  GoogleCloudVisionV1p3beta1ImageProperties();

  GoogleCloudVisionV1p3beta1ImageProperties.fromJson(core.Map _json) {
    if (_json.containsKey('dominantColors')) {
      dominantColors =
          GoogleCloudVisionV1p3beta1DominantColorsAnnotation.fromJson(
              _json['dominantColors']);
    }
  }

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

/// Response message for the `ImportProductSets` method. This message is
/// returned by the google.longrunning.Operations.GetOperation method in the
/// returned google.longrunning.Operation.response field.
class GoogleCloudVisionV1p3beta1ImportProductSetsResponse {
  /// The list of reference_images that are imported successfully.
  core.List<GoogleCloudVisionV1p3beta1ReferenceImage> referenceImages;

  /// The rpc status for each ImportProductSet request, including both successes
  /// and errors. The number of statuses here matches the number of lines in the
  /// csv file, and statuses[i] stores the success or failure status of
  /// processing the i-th line of the csv, starting from line 0.
  core.List<Status> statuses;

  GoogleCloudVisionV1p3beta1ImportProductSetsResponse();

  GoogleCloudVisionV1p3beta1ImportProductSetsResponse.fromJson(core.Map _json) {
    if (_json.containsKey('referenceImages')) {
      referenceImages = (_json['referenceImages'] as core.List)
          .map<GoogleCloudVisionV1p3beta1ReferenceImage>((value) =>
              GoogleCloudVisionV1p3beta1ReferenceImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('statuses')) {
      statuses = (_json['statuses'] as core.List)
          .map<Status>((value) => Status.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (referenceImages != null) {
      _json['referenceImages'] =
          referenceImages.map((value) => value.toJson()).toList();
    }
    if (statuses != null) {
      _json['statuses'] = statuses.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// The desired input location and metadata.
class GoogleCloudVisionV1p3beta1InputConfig {
  /// File content, represented as a stream of bytes. Note: As with all `bytes`
  /// fields, protobuffers use a pure binary representation, whereas JSON
  /// representations use base64. Currently, this field only works for
  /// BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles
  /// requests.
  core.String content;
  core.List<core.int> get contentAsBytes => convert.base64.decode(content);

  set contentAsBytes(core.List<core.int> _bytes) {
    content =
        convert.base64.encode(_bytes).replaceAll('/', '_').replaceAll('+', '-');
  }

  /// The Google Cloud Storage location to read the input from.
  GoogleCloudVisionV1p3beta1GcsSource gcsSource;

  /// The type of the file. Currently only "application/pdf", "image/tiff" and
  /// "image/gif" are supported. Wildcards are not supported.
  core.String mimeType;

  GoogleCloudVisionV1p3beta1InputConfig();

  GoogleCloudVisionV1p3beta1InputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('content')) {
      content = _json['content'] as core.String;
    }
    if (_json.containsKey('gcsSource')) {
      gcsSource =
          GoogleCloudVisionV1p3beta1GcsSource.fromJson(_json['gcsSource']);
    }
    if (_json.containsKey('mimeType')) {
      mimeType = _json['mimeType'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (content != null) {
      _json['content'] = content;
    }
    if (gcsSource != null) {
      _json['gcsSource'] = gcsSource.toJson();
    }
    if (mimeType != null) {
      _json['mimeType'] = mimeType;
    }
    return _json;
  }
}

/// Set of detected objects with bounding boxes.
class GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation {
  /// Image region to which this object belongs. This must be populated.
  GoogleCloudVisionV1p3beta1BoundingPoly boundingPoly;

  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  /// Object ID that should align with EntityAnnotation mid.
  core.String mid;

  /// Object name, expressed in its `language_code` language.
  core.String name;

  /// Score of the result. Range [0, 1].
  core.double score;

  GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation();

  GoogleCloudVisionV1p3beta1LocalizedObjectAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Detected entity location information.
class GoogleCloudVisionV1p3beta1LocationInfo {
  /// lat/long location coordinates.
  LatLng latLng;

  GoogleCloudVisionV1p3beta1LocationInfo();

  GoogleCloudVisionV1p3beta1LocationInfo.fromJson(core.Map _json) {
    if (_json.containsKey('latLng')) {
      latLng = LatLng.fromJson(_json['latLng']);
    }
  }

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

/// A vertex represents a 2D point in the image. NOTE: the normalized vertex
/// coordinates are relative to the original image and range from 0 to 1.
class GoogleCloudVisionV1p3beta1NormalizedVertex {
  /// X coordinate.
  core.double x;

  /// Y coordinate.
  core.double y;

  GoogleCloudVisionV1p3beta1NormalizedVertex();

  GoogleCloudVisionV1p3beta1NormalizedVertex.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = (_json['x'] as core.num).toDouble();
    }
    if (_json.containsKey('y')) {
      y = (_json['y'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    return _json;
  }
}

/// Contains metadata for the BatchAnnotateImages operation.
class GoogleCloudVisionV1p3beta1OperationMetadata {
  /// The time when the batch request was received.
  core.String createTime;

  /// Current state of the batch operation.
  /// Possible string values are:
  /// - "STATE_UNSPECIFIED" : Invalid.
  /// - "CREATED" : Request is received.
  /// - "RUNNING" : Request is actively being processed.
  /// - "DONE" : The batch processing is done.
  /// - "CANCELLED" : The batch processing was cancelled.
  core.String state;

  /// The time when the operation result was last updated.
  core.String updateTime;

  GoogleCloudVisionV1p3beta1OperationMetadata();

  GoogleCloudVisionV1p3beta1OperationMetadata.fromJson(core.Map _json) {
    if (_json.containsKey('createTime')) {
      createTime = _json['createTime'] as core.String;
    }
    if (_json.containsKey('state')) {
      state = _json['state'] as core.String;
    }
    if (_json.containsKey('updateTime')) {
      updateTime = _json['updateTime'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (createTime != null) {
      _json['createTime'] = createTime;
    }
    if (state != null) {
      _json['state'] = state;
    }
    if (updateTime != null) {
      _json['updateTime'] = updateTime;
    }
    return _json;
  }
}

/// The desired output location and metadata.
class GoogleCloudVisionV1p3beta1OutputConfig {
  /// The max number of response protos to put into each output JSON file on
  /// Google Cloud Storage. The valid range is [1, 100]. If not specified, the
  /// default value is 20. For example, for one pdf file with 100 pages, 100
  /// response protos will be generated. If `batch_size` = 20, then 5 json files
  /// each containing 20 response protos will be written under the prefix
  /// `gcs_destination`.`uri`. Currently, batch_size only applies to
  /// GcsDestination, with potential future support for other output
  /// configurations.
  core.int batchSize;

  /// The Google Cloud Storage location to write the output(s) to.
  GoogleCloudVisionV1p3beta1GcsDestination gcsDestination;

  GoogleCloudVisionV1p3beta1OutputConfig();

  GoogleCloudVisionV1p3beta1OutputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('batchSize')) {
      batchSize = _json['batchSize'] as core.int;
    }
    if (_json.containsKey('gcsDestination')) {
      gcsDestination = GoogleCloudVisionV1p3beta1GcsDestination.fromJson(
          _json['gcsDestination']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (batchSize != null) {
      _json['batchSize'] = batchSize;
    }
    if (gcsDestination != null) {
      _json['gcsDestination'] = gcsDestination.toJson();
    }
    return _json;
  }
}

/// Detected page from OCR.
class GoogleCloudVisionV1p3beta1Page {
  /// List of blocks of text, images etc on this page.
  core.List<GoogleCloudVisionV1p3beta1Block> blocks;

  /// Confidence of the OCR results on the page. Range [0, 1].
  core.double confidence;

  /// Page height. For PDFs the unit is points. For images (including TIFFs) the
  /// unit is pixels.
  core.int height;

  /// Additional information detected on the page.
  GoogleCloudVisionV1p3beta1TextAnnotationTextProperty property;

  /// Page width. For PDFs the unit is points. For images (including TIFFs) the
  /// unit is pixels.
  core.int width;

  GoogleCloudVisionV1p3beta1Page();

  GoogleCloudVisionV1p3beta1Page.fromJson(core.Map _json) {
    if (_json.containsKey('blocks')) {
      blocks = (_json['blocks'] as core.List)
          .map<GoogleCloudVisionV1p3beta1Block>(
              (value) => GoogleCloudVisionV1p3beta1Block.fromJson(value))
          .toList();
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('height')) {
      height = _json['height'] as core.int;
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p3beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('width')) {
      width = _json['width'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (blocks != null) {
      _json['blocks'] = blocks.map((value) => value.toJson()).toList();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (height != null) {
      _json['height'] = height;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (width != null) {
      _json['width'] = width;
    }
    return _json;
  }
}

/// Structural unit of text representing a number of words in certain order.
class GoogleCloudVisionV1p3beta1Paragraph {
  /// The bounding box for the paragraph. The vertices are in the order of
  /// top-left, top-right, bottom-right, bottom-left. When a rotation of the
  /// bounding box is detected the rotation is represented as around the
  /// top-left corner as defined when the text is read in the 'natural'
  /// orientation. For example: * when the text is horizontal it might look
  /// like: 0----1 | | 3----2 * when it's rotated 180 degrees around the
  /// top-left corner it becomes: 2----3 | | 1----0 and the vertex order will
  /// still be (0, 1, 2, 3).
  GoogleCloudVisionV1p3beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the paragraph. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the paragraph.
  GoogleCloudVisionV1p3beta1TextAnnotationTextProperty property;

  /// List of all words in this paragraph.
  core.List<GoogleCloudVisionV1p3beta1Word> words;

  GoogleCloudVisionV1p3beta1Paragraph();

  GoogleCloudVisionV1p3beta1Paragraph.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p3beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('words')) {
      words = (_json['words'] as core.List)
          .map<GoogleCloudVisionV1p3beta1Word>(
              (value) => GoogleCloudVisionV1p3beta1Word.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (words != null) {
      _json['words'] = words.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A 3D position in the image, used primarily for Face detection landmarks. A
/// valid Position must have both x and y coordinates. The position coordinates
/// are in the same scale as the original image.
class GoogleCloudVisionV1p3beta1Position {
  /// X coordinate.
  core.double x;

  /// Y coordinate.
  core.double y;

  /// Z coordinate (or depth).
  core.double z;

  GoogleCloudVisionV1p3beta1Position();

  GoogleCloudVisionV1p3beta1Position.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = (_json['x'] as core.num).toDouble();
    }
    if (_json.containsKey('y')) {
      y = (_json['y'] as core.num).toDouble();
    }
    if (_json.containsKey('z')) {
      z = (_json['z'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    if (z != null) {
      _json['z'] = z;
    }
    return _json;
  }
}

/// A Product contains ReferenceImages.
class GoogleCloudVisionV1p3beta1Product {
  /// User-provided metadata to be stored with this product. Must be at most
  /// 4096 characters long.
  core.String description;

  /// The user-provided name for this Product. Must not be empty. Must be at
  /// most 4096 characters long.
  core.String displayName;

  /// The resource name of the product. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is
  /// ignored when creating a product.
  core.String name;

  /// Immutable. The category for the product identified by the reference image.
  /// This should be one of "homegoods-v2", "apparel-v2", "toys-v2",
  /// "packagedgoods-v1" or "general-v1". The legacy categories "homegoods",
  /// "apparel", and "toys" are still supported, but these should not be used
  /// for new products.
  core.String productCategory;

  /// Key-value pairs that can be attached to a product. At query time,
  /// constraints can be specified based on the product_labels. Note that
  /// integer values can be provided as strings, e.g. "1199". Only strings with
  /// integer values can match a range-based restriction which is to be
  /// supported soon. Multiple values can be assigned to the same key. One
  /// product may have up to 500 product_labels. Notice that the total number of
  /// distinct product_labels over all products in one ProductSet cannot exceed
  /// 1M, otherwise the product search pipeline will refuse to work for that
  /// ProductSet.
  core.List<GoogleCloudVisionV1p3beta1ProductKeyValue> productLabels;

  GoogleCloudVisionV1p3beta1Product();

  GoogleCloudVisionV1p3beta1Product.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('displayName')) {
      displayName = _json['displayName'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('productCategory')) {
      productCategory = _json['productCategory'] as core.String;
    }
    if (_json.containsKey('productLabels')) {
      productLabels = (_json['productLabels'] as core.List)
          .map<GoogleCloudVisionV1p3beta1ProductKeyValue>((value) =>
              GoogleCloudVisionV1p3beta1ProductKeyValue.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (displayName != null) {
      _json['displayName'] = displayName;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (productCategory != null) {
      _json['productCategory'] = productCategory;
    }
    if (productLabels != null) {
      _json['productLabels'] =
          productLabels.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A product label represented as a key-value pair.
class GoogleCloudVisionV1p3beta1ProductKeyValue {
  /// The key of the label attached to the product. Cannot be empty and cannot
  /// exceed 128 bytes.
  core.String key;

  /// The value of the label attached to the product. Cannot be empty and cannot
  /// exceed 128 bytes.
  core.String value;

  GoogleCloudVisionV1p3beta1ProductKeyValue();

  GoogleCloudVisionV1p3beta1ProductKeyValue.fromJson(core.Map _json) {
    if (_json.containsKey('key')) {
      key = _json['key'] as core.String;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (key != null) {
      _json['key'] = key;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// Results for a product search request.
class GoogleCloudVisionV1p3beta1ProductSearchResults {
  /// Timestamp of the index which provided these results. Products added to the
  /// product set and products removed from the product set after this time are
  /// not reflected in the current results.
  core.String indexTime;

  /// List of results grouped by products detected in the query image. Each
  /// entry corresponds to one bounding polygon in the query image, and contains
  /// the matching products specific to that region. There may be duplicate
  /// product matches in the union of all the per-product results.
  core.List<GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult>
      productGroupedResults;

  /// List of results, one for each product match.
  core.List<GoogleCloudVisionV1p3beta1ProductSearchResultsResult> results;

  GoogleCloudVisionV1p3beta1ProductSearchResults();

  GoogleCloudVisionV1p3beta1ProductSearchResults.fromJson(core.Map _json) {
    if (_json.containsKey('indexTime')) {
      indexTime = _json['indexTime'] as core.String;
    }
    if (_json.containsKey('productGroupedResults')) {
      productGroupedResults = (_json['productGroupedResults'] as core.List)
          .map<GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult>(
              (value) =>
                  GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult
                      .fromJson(value))
          .toList();
    }
    if (_json.containsKey('results')) {
      results = (_json['results'] as core.List)
          .map<GoogleCloudVisionV1p3beta1ProductSearchResultsResult>((value) =>
              GoogleCloudVisionV1p3beta1ProductSearchResultsResult.fromJson(
                  value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (indexTime != null) {
      _json['indexTime'] = indexTime;
    }
    if (productGroupedResults != null) {
      _json['productGroupedResults'] =
          productGroupedResults.map((value) => value.toJson()).toList();
    }
    if (results != null) {
      _json['results'] = results.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Information about the products similar to a single product in a query image.
class GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult {
  /// The bounding polygon around the product detected in the query image.
  GoogleCloudVisionV1p3beta1BoundingPoly boundingPoly;

  /// List of generic predictions for the object in the bounding box.
  core.List<GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation>
      objectAnnotations;

  /// List of results, one for each product match.
  core.List<GoogleCloudVisionV1p3beta1ProductSearchResultsResult> results;

  GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult();

  GoogleCloudVisionV1p3beta1ProductSearchResultsGroupedResult.fromJson(
      core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('objectAnnotations')) {
      objectAnnotations = (_json['objectAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation>(
              (value) =>
                  GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation
                      .fromJson(value))
          .toList();
    }
    if (_json.containsKey('results')) {
      results = (_json['results'] as core.List)
          .map<GoogleCloudVisionV1p3beta1ProductSearchResultsResult>((value) =>
              GoogleCloudVisionV1p3beta1ProductSearchResultsResult.fromJson(
                  value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (objectAnnotations != null) {
      _json['objectAnnotations'] =
          objectAnnotations.map((value) => value.toJson()).toList();
    }
    if (results != null) {
      _json['results'] = results.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Prediction for what the object in the bounding box is.
class GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation {
  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  /// Object ID that should align with EntityAnnotation mid.
  core.String mid;

  /// Object name, expressed in its `language_code` language.
  core.String name;

  /// Score of the result. Range [0, 1].
  core.double score;

  GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation();

  GoogleCloudVisionV1p3beta1ProductSearchResultsObjectAnnotation.fromJson(
      core.Map _json) {
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Information about a product.
class GoogleCloudVisionV1p3beta1ProductSearchResultsResult {
  /// The resource name of the image from the product that is the closest match
  /// to the query.
  core.String image;

  /// The Product.
  GoogleCloudVisionV1p3beta1Product product;

  /// A confidence level on the match, ranging from 0 (no confidence) to 1 (full
  /// confidence).
  core.double score;

  GoogleCloudVisionV1p3beta1ProductSearchResultsResult();

  GoogleCloudVisionV1p3beta1ProductSearchResultsResult.fromJson(
      core.Map _json) {
    if (_json.containsKey('image')) {
      image = _json['image'] as core.String;
    }
    if (_json.containsKey('product')) {
      product = GoogleCloudVisionV1p3beta1Product.fromJson(_json['product']);
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (image != null) {
      _json['image'] = image;
    }
    if (product != null) {
      _json['product'] = product.toJson();
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// A `Property` consists of a user-supplied name/value pair.
class GoogleCloudVisionV1p3beta1Property {
  /// Name of the property.
  core.String name;

  /// Value of numeric properties.
  core.String uint64Value;

  /// Value of the property.
  core.String value;

  GoogleCloudVisionV1p3beta1Property();

  GoogleCloudVisionV1p3beta1Property.fromJson(core.Map _json) {
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('uint64Value')) {
      uint64Value = _json['uint64Value'] as core.String;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (name != null) {
      _json['name'] = name;
    }
    if (uint64Value != null) {
      _json['uint64Value'] = uint64Value;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// A `ReferenceImage` represents a product image and its associated metadata,
/// such as bounding boxes.
class GoogleCloudVisionV1p3beta1ReferenceImage {
  /// Optional. Bounding polygons around the areas of interest in the reference
  /// image. If this field is empty, the system will try to detect regions of
  /// interest. At most 10 bounding polygons will be used. The provided shape is
  /// converted into a non-rotated rectangle. Once converted, the small edge of
  /// the rectangle must be greater than or equal to 300 pixels. The aspect
  /// ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).
  core.List<GoogleCloudVisionV1p3beta1BoundingPoly> boundingPolys;

  /// The resource name of the reference image. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`.
  /// This field is ignored when creating a reference image.
  core.String name;

  /// Required. The Google Cloud Storage URI of the reference image. The URI
  /// must start with `gs://`.
  core.String uri;

  GoogleCloudVisionV1p3beta1ReferenceImage();

  GoogleCloudVisionV1p3beta1ReferenceImage.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPolys')) {
      boundingPolys = (_json['boundingPolys'] as core.List)
          .map<GoogleCloudVisionV1p3beta1BoundingPoly>(
              (value) => GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(value))
          .toList();
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// Set of features pertaining to the image, computed by computer vision methods
/// over safe-search verticals (for example, adult, spoof, medical, violence).
class GoogleCloudVisionV1p3beta1SafeSearchAnnotation {
  /// Represents the adult content likelihood for the image. Adult content may
  /// contain elements such as nudity, pornographic images or cartoons, or
  /// sexual activities.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String adult;

  /// Likelihood that this is a medical image.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String medical;

  /// Likelihood that the request image contains racy content. Racy content may
  /// include (but is not limited to) skimpy or sheer clothing, strategically
  /// covered nudity, lewd or provocative poses, or close-ups of sensitive body
  /// areas.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String racy;

  /// Spoof likelihood. The likelihood that an modification was made to the
  /// image's canonical version to make it appear funny or offensive.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String spoof;

  /// Likelihood that this image contains violent content.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String violence;

  GoogleCloudVisionV1p3beta1SafeSearchAnnotation();

  GoogleCloudVisionV1p3beta1SafeSearchAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('adult')) {
      adult = _json['adult'] as core.String;
    }
    if (_json.containsKey('medical')) {
      medical = _json['medical'] as core.String;
    }
    if (_json.containsKey('racy')) {
      racy = _json['racy'] as core.String;
    }
    if (_json.containsKey('spoof')) {
      spoof = _json['spoof'] as core.String;
    }
    if (_json.containsKey('violence')) {
      violence = _json['violence'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (adult != null) {
      _json['adult'] = adult;
    }
    if (medical != null) {
      _json['medical'] = medical;
    }
    if (racy != null) {
      _json['racy'] = racy;
    }
    if (spoof != null) {
      _json['spoof'] = spoof;
    }
    if (violence != null) {
      _json['violence'] = violence;
    }
    return _json;
  }
}

/// A single symbol representation.
class GoogleCloudVisionV1p3beta1Symbol {
  /// The bounding box for the symbol. The vertices are in the order of
  /// top-left, top-right, bottom-right, bottom-left. When a rotation of the
  /// bounding box is detected the rotation is represented as around the
  /// top-left corner as defined when the text is read in the 'natural'
  /// orientation. For example: * when the text is horizontal it might look
  /// like: 0----1 | | 3----2 * when it's rotated 180 degrees around the
  /// top-left corner it becomes: 2----3 | | 1----0 and the vertex order will
  /// still be (0, 1, 2, 3).
  GoogleCloudVisionV1p3beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the symbol. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the symbol.
  GoogleCloudVisionV1p3beta1TextAnnotationTextProperty property;

  /// The actual UTF-8 representation of the symbol.
  core.String text;

  GoogleCloudVisionV1p3beta1Symbol();

  GoogleCloudVisionV1p3beta1Symbol.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p3beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('text')) {
      text = _json['text'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (text != null) {
      _json['text'] = text;
    }
    return _json;
  }
}

/// TextAnnotation contains a structured representation of OCR extracted text.
/// The hierarchy of an OCR extracted text structure is like this:
/// TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each
/// structural component, starting from Page, may further have their own
/// properties. Properties describe detected languages, breaks etc.. Please
/// refer to the TextAnnotation.TextProperty message definition below for more
/// detail.
class GoogleCloudVisionV1p3beta1TextAnnotation {
  /// List of pages detected by OCR.
  core.List<GoogleCloudVisionV1p3beta1Page> pages;

  /// UTF-8 text detected on the pages.
  core.String text;

  GoogleCloudVisionV1p3beta1TextAnnotation();

  GoogleCloudVisionV1p3beta1TextAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('pages')) {
      pages = (_json['pages'] as core.List)
          .map<GoogleCloudVisionV1p3beta1Page>(
              (value) => GoogleCloudVisionV1p3beta1Page.fromJson(value))
          .toList();
    }
    if (_json.containsKey('text')) {
      text = _json['text'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pages != null) {
      _json['pages'] = pages.map((value) => value.toJson()).toList();
    }
    if (text != null) {
      _json['text'] = text;
    }
    return _json;
  }
}

/// Detected start or end of a structural component.
class GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak {
  /// True if break prepends the element.
  core.bool isPrefix;

  /// Detected break type.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown break label type.
  /// - "SPACE" : Regular space.
  /// - "SURE_SPACE" : Sure space (very wide).
  /// - "EOL_SURE_SPACE" : Line-wrapping break.
  /// - "HYPHEN" : End-line hyphen that is not present in text; does not
  /// co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.
  /// - "LINE_BREAK" : Line break that ends a paragraph.
  core.String type;

  GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak();

  GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak.fromJson(
      core.Map _json) {
    if (_json.containsKey('isPrefix')) {
      isPrefix = _json['isPrefix'] as core.bool;
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// Detected language for a structural component.
class GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage {
  /// Confidence of detected language. Range [0, 1].
  core.double confidence;

  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage();

  GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage.fromJson(
      core.Map _json) {
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    return _json;
  }
}

/// Additional information detected on the structural component.
class GoogleCloudVisionV1p3beta1TextAnnotationTextProperty {
  /// Detected start or end of a text segment.
  GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak detectedBreak;

  /// A list of detected languages together with confidence.
  core.List<GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage>
      detectedLanguages;

  GoogleCloudVisionV1p3beta1TextAnnotationTextProperty();

  GoogleCloudVisionV1p3beta1TextAnnotationTextProperty.fromJson(
      core.Map _json) {
    if (_json.containsKey('detectedBreak')) {
      detectedBreak =
          GoogleCloudVisionV1p3beta1TextAnnotationDetectedBreak.fromJson(
              _json['detectedBreak']);
    }
    if (_json.containsKey('detectedLanguages')) {
      detectedLanguages = (_json['detectedLanguages'] as core.List)
          .map<GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage>(
              (value) =>
                  GoogleCloudVisionV1p3beta1TextAnnotationDetectedLanguage
                      .fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (detectedBreak != null) {
      _json['detectedBreak'] = detectedBreak.toJson();
    }
    if (detectedLanguages != null) {
      _json['detectedLanguages'] =
          detectedLanguages.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A vertex represents a 2D point in the image. NOTE: the vertex coordinates
/// are in the same scale as the original image.
class GoogleCloudVisionV1p3beta1Vertex {
  /// X coordinate.
  core.int x;

  /// Y coordinate.
  core.int y;

  GoogleCloudVisionV1p3beta1Vertex();

  GoogleCloudVisionV1p3beta1Vertex.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = _json['x'] as core.int;
    }
    if (_json.containsKey('y')) {
      y = _json['y'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    return _json;
  }
}

/// Relevant information for the image from the Internet.
class GoogleCloudVisionV1p3beta1WebDetection {
  /// The service's best guess as to the topic of the request image. Inferred
  /// from similar images on the open web.
  core.List<GoogleCloudVisionV1p3beta1WebDetectionWebLabel> bestGuessLabels;

  /// Fully matching images from the Internet. Can include resized copies of the
  /// query image.
  core.List<GoogleCloudVisionV1p3beta1WebDetectionWebImage> fullMatchingImages;

  /// Web pages containing the matching images from the Internet.
  core.List<GoogleCloudVisionV1p3beta1WebDetectionWebPage>
      pagesWithMatchingImages;

  /// Partial matching images from the Internet. Those images are similar enough
  /// to share some key-point features. For example an original image will
  /// likely have partial matching for its crops.
  core.List<GoogleCloudVisionV1p3beta1WebDetectionWebImage>
      partialMatchingImages;

  /// The visually similar image results.
  core.List<GoogleCloudVisionV1p3beta1WebDetectionWebImage>
      visuallySimilarImages;

  /// Deduced entities from similar images on the Internet.
  core.List<GoogleCloudVisionV1p3beta1WebDetectionWebEntity> webEntities;

  GoogleCloudVisionV1p3beta1WebDetection();

  GoogleCloudVisionV1p3beta1WebDetection.fromJson(core.Map _json) {
    if (_json.containsKey('bestGuessLabels')) {
      bestGuessLabels = (_json['bestGuessLabels'] as core.List)
          .map<GoogleCloudVisionV1p3beta1WebDetectionWebLabel>((value) =>
              GoogleCloudVisionV1p3beta1WebDetectionWebLabel.fromJson(value))
          .toList();
    }
    if (_json.containsKey('fullMatchingImages')) {
      fullMatchingImages = (_json['fullMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p3beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p3beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('pagesWithMatchingImages')) {
      pagesWithMatchingImages = (_json['pagesWithMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p3beta1WebDetectionWebPage>((value) =>
              GoogleCloudVisionV1p3beta1WebDetectionWebPage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('partialMatchingImages')) {
      partialMatchingImages = (_json['partialMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p3beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p3beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('visuallySimilarImages')) {
      visuallySimilarImages = (_json['visuallySimilarImages'] as core.List)
          .map<GoogleCloudVisionV1p3beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p3beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('webEntities')) {
      webEntities = (_json['webEntities'] as core.List)
          .map<GoogleCloudVisionV1p3beta1WebDetectionWebEntity>((value) =>
              GoogleCloudVisionV1p3beta1WebDetectionWebEntity.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (bestGuessLabels != null) {
      _json['bestGuessLabels'] =
          bestGuessLabels.map((value) => value.toJson()).toList();
    }
    if (fullMatchingImages != null) {
      _json['fullMatchingImages'] =
          fullMatchingImages.map((value) => value.toJson()).toList();
    }
    if (pagesWithMatchingImages != null) {
      _json['pagesWithMatchingImages'] =
          pagesWithMatchingImages.map((value) => value.toJson()).toList();
    }
    if (partialMatchingImages != null) {
      _json['partialMatchingImages'] =
          partialMatchingImages.map((value) => value.toJson()).toList();
    }
    if (visuallySimilarImages != null) {
      _json['visuallySimilarImages'] =
          visuallySimilarImages.map((value) => value.toJson()).toList();
    }
    if (webEntities != null) {
      _json['webEntities'] =
          webEntities.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Entity deduced from similar images on the Internet.
class GoogleCloudVisionV1p3beta1WebDetectionWebEntity {
  /// Canonical description of the entity, in English.
  core.String description;

  /// Opaque entity ID.
  core.String entityId;

  /// Overall relevancy score for the entity. Not normalized and not comparable
  /// across different image queries.
  core.double score;

  GoogleCloudVisionV1p3beta1WebDetectionWebEntity();

  GoogleCloudVisionV1p3beta1WebDetectionWebEntity.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('entityId')) {
      entityId = _json['entityId'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (entityId != null) {
      _json['entityId'] = entityId;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Metadata for online images.
class GoogleCloudVisionV1p3beta1WebDetectionWebImage {
  /// (Deprecated) Overall relevancy score for the image.
  core.double score;

  /// The result image URL.
  core.String url;

  GoogleCloudVisionV1p3beta1WebDetectionWebImage();

  GoogleCloudVisionV1p3beta1WebDetectionWebImage.fromJson(core.Map _json) {
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('url')) {
      url = _json['url'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (score != null) {
      _json['score'] = score;
    }
    if (url != null) {
      _json['url'] = url;
    }
    return _json;
  }
}

/// Label to provide extra metadata for the web detection.
class GoogleCloudVisionV1p3beta1WebDetectionWebLabel {
  /// Label for extra metadata.
  core.String label;

  /// The BCP-47 language code for `label`, such as "en-US" or "sr-Latn". For
  /// more information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  GoogleCloudVisionV1p3beta1WebDetectionWebLabel();

  GoogleCloudVisionV1p3beta1WebDetectionWebLabel.fromJson(core.Map _json) {
    if (_json.containsKey('label')) {
      label = _json['label'] as core.String;
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (label != null) {
      _json['label'] = label;
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    return _json;
  }
}

/// Metadata for web pages.
class GoogleCloudVisionV1p3beta1WebDetectionWebPage {
  /// Fully matching images on the page. Can include resized copies of the query
  /// image.
  core.List<GoogleCloudVisionV1p3beta1WebDetectionWebImage> fullMatchingImages;

  /// Title for the web page, may contain HTML markups.
  core.String pageTitle;

  /// Partial matching images on the page. Those images are similar enough to
  /// share some key-point features. For example an original image will likely
  /// have partial matching for its crops.
  core.List<GoogleCloudVisionV1p3beta1WebDetectionWebImage>
      partialMatchingImages;

  /// (Deprecated) Overall relevancy score for the web page.
  core.double score;

  /// The result web page URL.
  core.String url;

  GoogleCloudVisionV1p3beta1WebDetectionWebPage();

  GoogleCloudVisionV1p3beta1WebDetectionWebPage.fromJson(core.Map _json) {
    if (_json.containsKey('fullMatchingImages')) {
      fullMatchingImages = (_json['fullMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p3beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p3beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('pageTitle')) {
      pageTitle = _json['pageTitle'] as core.String;
    }
    if (_json.containsKey('partialMatchingImages')) {
      partialMatchingImages = (_json['partialMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p3beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p3beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('url')) {
      url = _json['url'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (fullMatchingImages != null) {
      _json['fullMatchingImages'] =
          fullMatchingImages.map((value) => value.toJson()).toList();
    }
    if (pageTitle != null) {
      _json['pageTitle'] = pageTitle;
    }
    if (partialMatchingImages != null) {
      _json['partialMatchingImages'] =
          partialMatchingImages.map((value) => value.toJson()).toList();
    }
    if (score != null) {
      _json['score'] = score;
    }
    if (url != null) {
      _json['url'] = url;
    }
    return _json;
  }
}

/// A word representation.
class GoogleCloudVisionV1p3beta1Word {
  /// The bounding box for the word. The vertices are in the order of top-left,
  /// top-right, bottom-right, bottom-left. When a rotation of the bounding box
  /// is detected the rotation is represented as around the top-left corner as
  /// defined when the text is read in the 'natural' orientation. For example: *
  /// when the text is horizontal it might look like: 0----1 | | 3----2 * when
  /// it's rotated 180 degrees around the top-left corner it becomes: 2----3 | |
  /// 1----0 and the vertex order will still be (0, 1, 2, 3).
  GoogleCloudVisionV1p3beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the word. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the word.
  GoogleCloudVisionV1p3beta1TextAnnotationTextProperty property;

  /// List of symbols in the word. The order of the symbols follows the natural
  /// reading order.
  core.List<GoogleCloudVisionV1p3beta1Symbol> symbols;

  GoogleCloudVisionV1p3beta1Word();

  GoogleCloudVisionV1p3beta1Word.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p3beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p3beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('symbols')) {
      symbols = (_json['symbols'] as core.List)
          .map<GoogleCloudVisionV1p3beta1Symbol>(
              (value) => GoogleCloudVisionV1p3beta1Symbol.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (symbols != null) {
      _json['symbols'] = symbols.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Response to a single file annotation request. A file may contain one or more
/// images, which individually have their own responses.
class GoogleCloudVisionV1p4beta1AnnotateFileResponse {
  /// If set, represents the error message for the failed request. The
  /// `responses` field will not be set in this case.
  Status error;

  /// Information about the file for which this response is generated.
  GoogleCloudVisionV1p4beta1InputConfig inputConfig;

  /// Individual responses to images found within the file. This field will be
  /// empty if the `error` field is set.
  core.List<GoogleCloudVisionV1p4beta1AnnotateImageResponse> responses;

  /// This field gives the total number of pages in the file.
  core.int totalPages;

  GoogleCloudVisionV1p4beta1AnnotateFileResponse();

  GoogleCloudVisionV1p4beta1AnnotateFileResponse.fromJson(core.Map _json) {
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('inputConfig')) {
      inputConfig =
          GoogleCloudVisionV1p4beta1InputConfig.fromJson(_json['inputConfig']);
    }
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<GoogleCloudVisionV1p4beta1AnnotateImageResponse>((value) =>
              GoogleCloudVisionV1p4beta1AnnotateImageResponse.fromJson(value))
          .toList();
    }
    if (_json.containsKey('totalPages')) {
      totalPages = _json['totalPages'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (error != null) {
      _json['error'] = error.toJson();
    }
    if (inputConfig != null) {
      _json['inputConfig'] = inputConfig.toJson();
    }
    if (responses != null) {
      _json['responses'] = responses.map((value) => value.toJson()).toList();
    }
    if (totalPages != null) {
      _json['totalPages'] = totalPages;
    }
    return _json;
  }
}

/// Response to an image annotation request.
class GoogleCloudVisionV1p4beta1AnnotateImageResponse {
  /// If present, contextual information is needed to understand where this
  /// image comes from.
  GoogleCloudVisionV1p4beta1ImageAnnotationContext context;

  /// If present, crop hints have completed successfully.
  GoogleCloudVisionV1p4beta1CropHintsAnnotation cropHintsAnnotation;

  /// If set, represents the error message for the operation. Note that
  /// filled-in image annotations are guaranteed to be correct, even when
  /// `error` is set.
  Status error;

  /// If present, face detection has completed successfully.
  core.List<GoogleCloudVisionV1p4beta1FaceAnnotation> faceAnnotations;

  /// If present, text (OCR) detection or document (OCR) text detection has
  /// completed successfully. This annotation provides the structural hierarchy
  /// for the OCR detected text.
  GoogleCloudVisionV1p4beta1TextAnnotation fullTextAnnotation;

  /// If present, image properties were extracted successfully.
  GoogleCloudVisionV1p4beta1ImageProperties imagePropertiesAnnotation;

  /// If present, label detection has completed successfully.
  core.List<GoogleCloudVisionV1p4beta1EntityAnnotation> labelAnnotations;

  /// If present, landmark detection has completed successfully.
  core.List<GoogleCloudVisionV1p4beta1EntityAnnotation> landmarkAnnotations;

  /// If present, localized object detection has completed successfully. This
  /// will be sorted descending by confidence score.
  core.List<GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation>
      localizedObjectAnnotations;

  /// If present, logo detection has completed successfully.
  core.List<GoogleCloudVisionV1p4beta1EntityAnnotation> logoAnnotations;

  /// If present, product search has completed successfully.
  GoogleCloudVisionV1p4beta1ProductSearchResults productSearchResults;

  /// If present, safe-search annotation has completed successfully.
  GoogleCloudVisionV1p4beta1SafeSearchAnnotation safeSearchAnnotation;

  /// If present, text (OCR) detection has completed successfully.
  core.List<GoogleCloudVisionV1p4beta1EntityAnnotation> textAnnotations;

  /// If present, web detection has completed successfully.
  GoogleCloudVisionV1p4beta1WebDetection webDetection;

  GoogleCloudVisionV1p4beta1AnnotateImageResponse();

  GoogleCloudVisionV1p4beta1AnnotateImageResponse.fromJson(core.Map _json) {
    if (_json.containsKey('context')) {
      context = GoogleCloudVisionV1p4beta1ImageAnnotationContext.fromJson(
          _json['context']);
    }
    if (_json.containsKey('cropHintsAnnotation')) {
      cropHintsAnnotation =
          GoogleCloudVisionV1p4beta1CropHintsAnnotation.fromJson(
              _json['cropHintsAnnotation']);
    }
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('faceAnnotations')) {
      faceAnnotations = (_json['faceAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p4beta1FaceAnnotation>((value) =>
              GoogleCloudVisionV1p4beta1FaceAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('fullTextAnnotation')) {
      fullTextAnnotation = GoogleCloudVisionV1p4beta1TextAnnotation.fromJson(
          _json['fullTextAnnotation']);
    }
    if (_json.containsKey('imagePropertiesAnnotation')) {
      imagePropertiesAnnotation =
          GoogleCloudVisionV1p4beta1ImageProperties.fromJson(
              _json['imagePropertiesAnnotation']);
    }
    if (_json.containsKey('labelAnnotations')) {
      labelAnnotations = (_json['labelAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p4beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p4beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('landmarkAnnotations')) {
      landmarkAnnotations = (_json['landmarkAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p4beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p4beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('localizedObjectAnnotations')) {
      localizedObjectAnnotations = (_json['localizedObjectAnnotations']
              as core.List)
          .map<GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation>((value) =>
              GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation.fromJson(
                  value))
          .toList();
    }
    if (_json.containsKey('logoAnnotations')) {
      logoAnnotations = (_json['logoAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p4beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p4beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('productSearchResults')) {
      productSearchResults =
          GoogleCloudVisionV1p4beta1ProductSearchResults.fromJson(
              _json['productSearchResults']);
    }
    if (_json.containsKey('safeSearchAnnotation')) {
      safeSearchAnnotation =
          GoogleCloudVisionV1p4beta1SafeSearchAnnotation.fromJson(
              _json['safeSearchAnnotation']);
    }
    if (_json.containsKey('textAnnotations')) {
      textAnnotations = (_json['textAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p4beta1EntityAnnotation>((value) =>
              GoogleCloudVisionV1p4beta1EntityAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('webDetection')) {
      webDetection = GoogleCloudVisionV1p4beta1WebDetection.fromJson(
          _json['webDetection']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (context != null) {
      _json['context'] = context.toJson();
    }
    if (cropHintsAnnotation != null) {
      _json['cropHintsAnnotation'] = cropHintsAnnotation.toJson();
    }
    if (error != null) {
      _json['error'] = error.toJson();
    }
    if (faceAnnotations != null) {
      _json['faceAnnotations'] =
          faceAnnotations.map((value) => value.toJson()).toList();
    }
    if (fullTextAnnotation != null) {
      _json['fullTextAnnotation'] = fullTextAnnotation.toJson();
    }
    if (imagePropertiesAnnotation != null) {
      _json['imagePropertiesAnnotation'] = imagePropertiesAnnotation.toJson();
    }
    if (labelAnnotations != null) {
      _json['labelAnnotations'] =
          labelAnnotations.map((value) => value.toJson()).toList();
    }
    if (landmarkAnnotations != null) {
      _json['landmarkAnnotations'] =
          landmarkAnnotations.map((value) => value.toJson()).toList();
    }
    if (localizedObjectAnnotations != null) {
      _json['localizedObjectAnnotations'] =
          localizedObjectAnnotations.map((value) => value.toJson()).toList();
    }
    if (logoAnnotations != null) {
      _json['logoAnnotations'] =
          logoAnnotations.map((value) => value.toJson()).toList();
    }
    if (productSearchResults != null) {
      _json['productSearchResults'] = productSearchResults.toJson();
    }
    if (safeSearchAnnotation != null) {
      _json['safeSearchAnnotation'] = safeSearchAnnotation.toJson();
    }
    if (textAnnotations != null) {
      _json['textAnnotations'] =
          textAnnotations.map((value) => value.toJson()).toList();
    }
    if (webDetection != null) {
      _json['webDetection'] = webDetection.toJson();
    }
    return _json;
  }
}

/// The response for a single offline file annotation request.
class GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse {
  /// The output location and metadata from AsyncAnnotateFileRequest.
  GoogleCloudVisionV1p4beta1OutputConfig outputConfig;

  GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse();

  GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse.fromJson(core.Map _json) {
    if (_json.containsKey('outputConfig')) {
      outputConfig = GoogleCloudVisionV1p4beta1OutputConfig.fromJson(
          _json['outputConfig']);
    }
  }

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

/// Response to an async batch file annotation request.
class GoogleCloudVisionV1p4beta1AsyncBatchAnnotateFilesResponse {
  /// The list of file annotation responses, one for each request in
  /// AsyncBatchAnnotateFilesRequest.
  core.List<GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse> responses;

  GoogleCloudVisionV1p4beta1AsyncBatchAnnotateFilesResponse();

  GoogleCloudVisionV1p4beta1AsyncBatchAnnotateFilesResponse.fromJson(
      core.Map _json) {
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse>((value) =>
              GoogleCloudVisionV1p4beta1AsyncAnnotateFileResponse.fromJson(
                  value))
          .toList();
    }
  }

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

/// Response to an async batch image annotation request.
class GoogleCloudVisionV1p4beta1AsyncBatchAnnotateImagesResponse {
  /// The output location and metadata from AsyncBatchAnnotateImagesRequest.
  GoogleCloudVisionV1p4beta1OutputConfig outputConfig;

  GoogleCloudVisionV1p4beta1AsyncBatchAnnotateImagesResponse();

  GoogleCloudVisionV1p4beta1AsyncBatchAnnotateImagesResponse.fromJson(
      core.Map _json) {
    if (_json.containsKey('outputConfig')) {
      outputConfig = GoogleCloudVisionV1p4beta1OutputConfig.fromJson(
          _json['outputConfig']);
    }
  }

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

/// A list of file annotation responses.
class GoogleCloudVisionV1p4beta1BatchAnnotateFilesResponse {
  /// The list of file annotation responses, each response corresponding to each
  /// AnnotateFileRequest in BatchAnnotateFilesRequest.
  core.List<GoogleCloudVisionV1p4beta1AnnotateFileResponse> responses;

  GoogleCloudVisionV1p4beta1BatchAnnotateFilesResponse();

  GoogleCloudVisionV1p4beta1BatchAnnotateFilesResponse.fromJson(
      core.Map _json) {
    if (_json.containsKey('responses')) {
      responses = (_json['responses'] as core.List)
          .map<GoogleCloudVisionV1p4beta1AnnotateFileResponse>((value) =>
              GoogleCloudVisionV1p4beta1AnnotateFileResponse.fromJson(value))
          .toList();
    }
  }

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

/// Metadata for the batch operations such as the current state. This is
/// included in the `metadata` field of the `Operation` returned by the
/// `GetOperation` call of the `google::longrunning::Operations` service.
class GoogleCloudVisionV1p4beta1BatchOperationMetadata {
  /// The time when the batch request is finished and
  /// google.longrunning.Operation.done is set to true.
  core.String endTime;

  /// The current state of the batch operation.
  /// Possible string values are:
  /// - "STATE_UNSPECIFIED" : Invalid.
  /// - "PROCESSING" : Request is actively being processed.
  /// - "SUCCESSFUL" : The request is done and at least one item has been
  /// successfully processed.
  /// - "FAILED" : The request is done and no item has been successfully
  /// processed.
  /// - "CANCELLED" : The request is done after the
  /// longrunning.Operations.CancelOperation has been called by the user. Any
  /// records that were processed before the cancel command are output as
  /// specified in the request.
  core.String state;

  /// The time when the batch request was submitted to the server.
  core.String submitTime;

  GoogleCloudVisionV1p4beta1BatchOperationMetadata();

  GoogleCloudVisionV1p4beta1BatchOperationMetadata.fromJson(core.Map _json) {
    if (_json.containsKey('endTime')) {
      endTime = _json['endTime'] as core.String;
    }
    if (_json.containsKey('state')) {
      state = _json['state'] as core.String;
    }
    if (_json.containsKey('submitTime')) {
      submitTime = _json['submitTime'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (endTime != null) {
      _json['endTime'] = endTime;
    }
    if (state != null) {
      _json['state'] = state;
    }
    if (submitTime != null) {
      _json['submitTime'] = submitTime;
    }
    return _json;
  }
}

/// Logical element on the page.
class GoogleCloudVisionV1p4beta1Block {
  /// Detected block type (text, image etc) for this block.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown block type.
  /// - "TEXT" : Regular text block.
  /// - "TABLE" : Table block.
  /// - "PICTURE" : Image block.
  /// - "RULER" : Horizontal/vertical line box.
  /// - "BARCODE" : Barcode block.
  core.String blockType;

  /// The bounding box for the block. The vertices are in the order of top-left,
  /// top-right, bottom-right, bottom-left. When a rotation of the bounding box
  /// is detected the rotation is represented as around the top-left corner as
  /// defined when the text is read in the 'natural' orientation. For example: *
  /// when the text is horizontal it might look like: 0----1 | | 3----2 * when
  /// it's rotated 180 degrees around the top-left corner it becomes: 2----3 | |
  /// 1----0 and the vertex order will still be (0, 1, 2, 3).
  GoogleCloudVisionV1p4beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results on the block. Range [0, 1].
  core.double confidence;

  /// List of paragraphs in this block (if this blocks is of type text).
  core.List<GoogleCloudVisionV1p4beta1Paragraph> paragraphs;

  /// Additional information detected for the block.
  GoogleCloudVisionV1p4beta1TextAnnotationTextProperty property;

  GoogleCloudVisionV1p4beta1Block();

  GoogleCloudVisionV1p4beta1Block.fromJson(core.Map _json) {
    if (_json.containsKey('blockType')) {
      blockType = _json['blockType'] as core.String;
    }
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('paragraphs')) {
      paragraphs = (_json['paragraphs'] as core.List)
          .map<GoogleCloudVisionV1p4beta1Paragraph>(
              (value) => GoogleCloudVisionV1p4beta1Paragraph.fromJson(value))
          .toList();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p4beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (blockType != null) {
      _json['blockType'] = blockType;
    }
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (paragraphs != null) {
      _json['paragraphs'] = paragraphs.map((value) => value.toJson()).toList();
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    return _json;
  }
}

/// A bounding polygon for the detected image annotation.
class GoogleCloudVisionV1p4beta1BoundingPoly {
  /// The bounding polygon normalized vertices.
  core.List<GoogleCloudVisionV1p4beta1NormalizedVertex> normalizedVertices;

  /// The bounding polygon vertices.
  core.List<GoogleCloudVisionV1p4beta1Vertex> vertices;

  GoogleCloudVisionV1p4beta1BoundingPoly();

  GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(core.Map _json) {
    if (_json.containsKey('normalizedVertices')) {
      normalizedVertices = (_json['normalizedVertices'] as core.List)
          .map<GoogleCloudVisionV1p4beta1NormalizedVertex>((value) =>
              GoogleCloudVisionV1p4beta1NormalizedVertex.fromJson(value))
          .toList();
    }
    if (_json.containsKey('vertices')) {
      vertices = (_json['vertices'] as core.List)
          .map<GoogleCloudVisionV1p4beta1Vertex>(
              (value) => GoogleCloudVisionV1p4beta1Vertex.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (normalizedVertices != null) {
      _json['normalizedVertices'] =
          normalizedVertices.map((value) => value.toJson()).toList();
    }
    if (vertices != null) {
      _json['vertices'] = vertices.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A Celebrity is a group of Faces with an identity.
class GoogleCloudVisionV1p4beta1Celebrity {
  /// The Celebrity's description.
  core.String description;

  /// The Celebrity's display name.
  core.String displayName;

  /// The resource name of the preloaded Celebrity. Has the format
  /// `builtin/{mid}`.
  core.String name;

  GoogleCloudVisionV1p4beta1Celebrity();

  GoogleCloudVisionV1p4beta1Celebrity.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('displayName')) {
      displayName = _json['displayName'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (displayName != null) {
      _json['displayName'] = displayName;
    }
    if (name != null) {
      _json['name'] = name;
    }
    return _json;
  }
}

/// Color information consists of RGB channels, score, and the fraction of the
/// image that the color occupies in the image.
class GoogleCloudVisionV1p4beta1ColorInfo {
  /// RGB components of the color.
  Color color;

  /// The fraction of pixels the color occupies in the image. Value in range [0,
  /// 1].
  core.double pixelFraction;

  /// Image-specific score for this color. Value in range [0, 1].
  core.double score;

  GoogleCloudVisionV1p4beta1ColorInfo();

  GoogleCloudVisionV1p4beta1ColorInfo.fromJson(core.Map _json) {
    if (_json.containsKey('color')) {
      color = Color.fromJson(_json['color']);
    }
    if (_json.containsKey('pixelFraction')) {
      pixelFraction = (_json['pixelFraction'] as core.num).toDouble();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (color != null) {
      _json['color'] = color.toJson();
    }
    if (pixelFraction != null) {
      _json['pixelFraction'] = pixelFraction;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Single crop hint that is used to generate a new crop when serving an image.
class GoogleCloudVisionV1p4beta1CropHint {
  /// The bounding polygon for the crop region. The coordinates of the bounding
  /// box are in the original image's scale.
  GoogleCloudVisionV1p4beta1BoundingPoly boundingPoly;

  /// Confidence of this being a salient region. Range [0, 1].
  core.double confidence;

  /// Fraction of importance of this salient region with respect to the original
  /// image.
  core.double importanceFraction;

  GoogleCloudVisionV1p4beta1CropHint();

  GoogleCloudVisionV1p4beta1CropHint.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('importanceFraction')) {
      importanceFraction = (_json['importanceFraction'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (importanceFraction != null) {
      _json['importanceFraction'] = importanceFraction;
    }
    return _json;
  }
}

/// Set of crop hints that are used to generate new crops when serving images.
class GoogleCloudVisionV1p4beta1CropHintsAnnotation {
  /// Crop hint results.
  core.List<GoogleCloudVisionV1p4beta1CropHint> cropHints;

  GoogleCloudVisionV1p4beta1CropHintsAnnotation();

  GoogleCloudVisionV1p4beta1CropHintsAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('cropHints')) {
      cropHints = (_json['cropHints'] as core.List)
          .map<GoogleCloudVisionV1p4beta1CropHint>(
              (value) => GoogleCloudVisionV1p4beta1CropHint.fromJson(value))
          .toList();
    }
  }

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

/// Set of dominant colors and their corresponding scores.
class GoogleCloudVisionV1p4beta1DominantColorsAnnotation {
  /// RGB color values with their score and pixel fraction.
  core.List<GoogleCloudVisionV1p4beta1ColorInfo> colors;

  GoogleCloudVisionV1p4beta1DominantColorsAnnotation();

  GoogleCloudVisionV1p4beta1DominantColorsAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('colors')) {
      colors = (_json['colors'] as core.List)
          .map<GoogleCloudVisionV1p4beta1ColorInfo>(
              (value) => GoogleCloudVisionV1p4beta1ColorInfo.fromJson(value))
          .toList();
    }
  }

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

/// Set of detected entity features.
class GoogleCloudVisionV1p4beta1EntityAnnotation {
  /// Image region to which this entity belongs. Not produced for
  /// `LABEL_DETECTION` features.
  GoogleCloudVisionV1p4beta1BoundingPoly boundingPoly;

  /// **Deprecated. Use `score` instead.** The accuracy of the entity detection
  /// in an image. For example, for an image in which the "Eiffel Tower" entity
  /// is detected, this field represents the confidence that there is a tower in
  /// the query image. Range [0, 1].
  core.double confidence;

  /// Entity textual description, expressed in its `locale` language.
  core.String description;

  /// The language code for the locale in which the entity textual `description`
  /// is expressed.
  core.String locale;

  /// The location information for the detected entity. Multiple `LocationInfo`
  /// elements can be present because one location may indicate the location of
  /// the scene in the image, and another location may indicate the location of
  /// the place where the image was taken. Location information is usually
  /// present for landmarks.
  core.List<GoogleCloudVisionV1p4beta1LocationInfo> locations;

  /// Opaque entity ID. Some IDs may be available in [Google Knowledge Graph
  /// Search API](https://developers.google.com/knowledge-graph/).
  core.String mid;

  /// Some entities may have optional user-supplied `Property` (name/value)
  /// fields, such a score or string that qualifies the entity.
  core.List<GoogleCloudVisionV1p4beta1Property> properties;

  /// Overall score of the result. Range [0, 1].
  core.double score;

  /// The relevancy of the ICA (Image Content Annotation) label to the image.
  /// For example, the relevancy of "tower" is likely higher to an image
  /// containing the detected "Eiffel Tower" than to an image containing a
  /// detected distant towering building, even though the confidence that there
  /// is a tower in each image may be the same. Range [0, 1].
  core.double topicality;

  GoogleCloudVisionV1p4beta1EntityAnnotation();

  GoogleCloudVisionV1p4beta1EntityAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('locale')) {
      locale = _json['locale'] as core.String;
    }
    if (_json.containsKey('locations')) {
      locations = (_json['locations'] as core.List)
          .map<GoogleCloudVisionV1p4beta1LocationInfo>(
              (value) => GoogleCloudVisionV1p4beta1LocationInfo.fromJson(value))
          .toList();
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('properties')) {
      properties = (_json['properties'] as core.List)
          .map<GoogleCloudVisionV1p4beta1Property>(
              (value) => GoogleCloudVisionV1p4beta1Property.fromJson(value))
          .toList();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('topicality')) {
      topicality = (_json['topicality'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (description != null) {
      _json['description'] = description;
    }
    if (locale != null) {
      _json['locale'] = locale;
    }
    if (locations != null) {
      _json['locations'] = locations.map((value) => value.toJson()).toList();
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (properties != null) {
      _json['properties'] = properties.map((value) => value.toJson()).toList();
    }
    if (score != null) {
      _json['score'] = score;
    }
    if (topicality != null) {
      _json['topicality'] = topicality;
    }
    return _json;
  }
}

/// A face annotation object contains the results of face detection.
class GoogleCloudVisionV1p4beta1FaceAnnotation {
  /// Anger likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String angerLikelihood;

  /// Blurred likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String blurredLikelihood;

  /// The bounding polygon around the face. The coordinates of the bounding box
  /// are in the original image's scale. The bounding box is computed to "frame"
  /// the face in accordance with human expectations. It is based on the
  /// landmarker results. Note that one or more x and/or y coordinates may not
  /// be generated in the `BoundingPoly` (the polygon will be unbounded) if only
  /// a partial face appears in the image to be annotated.
  GoogleCloudVisionV1p4beta1BoundingPoly boundingPoly;

  /// Detection confidence. Range [0, 1].
  core.double detectionConfidence;

  /// The `fd_bounding_poly` bounding polygon is tighter than the
  /// `boundingPoly`, and encloses only the skin part of the face. Typically, it
  /// is used to eliminate the face from any image analysis that detects the
  /// "amount of skin" visible in an image. It is not based on the landmarker
  /// results, only on the initial face detection, hence the fd (face detection)
  /// prefix.
  GoogleCloudVisionV1p4beta1BoundingPoly fdBoundingPoly;

  /// Headwear likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String headwearLikelihood;

  /// Joy likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String joyLikelihood;

  /// Face landmarking confidence. Range [0, 1].
  core.double landmarkingConfidence;

  /// Detected face landmarks.
  core.List<GoogleCloudVisionV1p4beta1FaceAnnotationLandmark> landmarks;

  /// Yaw angle, which indicates the leftward/rightward angle that the face is
  /// pointing relative to the vertical plane perpendicular to the image. Range
  /// [-180,180].
  core.double panAngle;

  /// Additional recognition information. Only computed if
  /// image_context.face_recognition_params is provided, **and** a match is
  /// found to a Celebrity in the input CelebritySet. This field is sorted in
  /// order of decreasing confidence values.
  core.List<GoogleCloudVisionV1p4beta1FaceRecognitionResult> recognitionResult;

  /// Roll angle, which indicates the amount of clockwise/anti-clockwise
  /// rotation of the face relative to the image vertical about the axis
  /// perpendicular to the face. Range [-180,180].
  core.double rollAngle;

  /// Sorrow likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String sorrowLikelihood;

  /// Surprise likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String surpriseLikelihood;

  /// Pitch angle, which indicates the upwards/downwards angle that the face is
  /// pointing relative to the image's horizontal plane. Range [-180,180].
  core.double tiltAngle;

  /// Under-exposed likelihood.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String underExposedLikelihood;

  GoogleCloudVisionV1p4beta1FaceAnnotation();

  GoogleCloudVisionV1p4beta1FaceAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('angerLikelihood')) {
      angerLikelihood = _json['angerLikelihood'] as core.String;
    }
    if (_json.containsKey('blurredLikelihood')) {
      blurredLikelihood = _json['blurredLikelihood'] as core.String;
    }
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('detectionConfidence')) {
      detectionConfidence =
          (_json['detectionConfidence'] as core.num).toDouble();
    }
    if (_json.containsKey('fdBoundingPoly')) {
      fdBoundingPoly = GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(
          _json['fdBoundingPoly']);
    }
    if (_json.containsKey('headwearLikelihood')) {
      headwearLikelihood = _json['headwearLikelihood'] as core.String;
    }
    if (_json.containsKey('joyLikelihood')) {
      joyLikelihood = _json['joyLikelihood'] as core.String;
    }
    if (_json.containsKey('landmarkingConfidence')) {
      landmarkingConfidence =
          (_json['landmarkingConfidence'] as core.num).toDouble();
    }
    if (_json.containsKey('landmarks')) {
      landmarks = (_json['landmarks'] as core.List)
          .map<GoogleCloudVisionV1p4beta1FaceAnnotationLandmark>((value) =>
              GoogleCloudVisionV1p4beta1FaceAnnotationLandmark.fromJson(value))
          .toList();
    }
    if (_json.containsKey('panAngle')) {
      panAngle = (_json['panAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('recognitionResult')) {
      recognitionResult = (_json['recognitionResult'] as core.List)
          .map<GoogleCloudVisionV1p4beta1FaceRecognitionResult>((value) =>
              GoogleCloudVisionV1p4beta1FaceRecognitionResult.fromJson(value))
          .toList();
    }
    if (_json.containsKey('rollAngle')) {
      rollAngle = (_json['rollAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('sorrowLikelihood')) {
      sorrowLikelihood = _json['sorrowLikelihood'] as core.String;
    }
    if (_json.containsKey('surpriseLikelihood')) {
      surpriseLikelihood = _json['surpriseLikelihood'] as core.String;
    }
    if (_json.containsKey('tiltAngle')) {
      tiltAngle = (_json['tiltAngle'] as core.num).toDouble();
    }
    if (_json.containsKey('underExposedLikelihood')) {
      underExposedLikelihood = _json['underExposedLikelihood'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (angerLikelihood != null) {
      _json['angerLikelihood'] = angerLikelihood;
    }
    if (blurredLikelihood != null) {
      _json['blurredLikelihood'] = blurredLikelihood;
    }
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (detectionConfidence != null) {
      _json['detectionConfidence'] = detectionConfidence;
    }
    if (fdBoundingPoly != null) {
      _json['fdBoundingPoly'] = fdBoundingPoly.toJson();
    }
    if (headwearLikelihood != null) {
      _json['headwearLikelihood'] = headwearLikelihood;
    }
    if (joyLikelihood != null) {
      _json['joyLikelihood'] = joyLikelihood;
    }
    if (landmarkingConfidence != null) {
      _json['landmarkingConfidence'] = landmarkingConfidence;
    }
    if (landmarks != null) {
      _json['landmarks'] = landmarks.map((value) => value.toJson()).toList();
    }
    if (panAngle != null) {
      _json['panAngle'] = panAngle;
    }
    if (recognitionResult != null) {
      _json['recognitionResult'] =
          recognitionResult.map((value) => value.toJson()).toList();
    }
    if (rollAngle != null) {
      _json['rollAngle'] = rollAngle;
    }
    if (sorrowLikelihood != null) {
      _json['sorrowLikelihood'] = sorrowLikelihood;
    }
    if (surpriseLikelihood != null) {
      _json['surpriseLikelihood'] = surpriseLikelihood;
    }
    if (tiltAngle != null) {
      _json['tiltAngle'] = tiltAngle;
    }
    if (underExposedLikelihood != null) {
      _json['underExposedLikelihood'] = underExposedLikelihood;
    }
    return _json;
  }
}

/// A face-specific landmark (for example, a face feature).
class GoogleCloudVisionV1p4beta1FaceAnnotationLandmark {
  /// Face landmark position.
  GoogleCloudVisionV1p4beta1Position position;

  /// Face landmark type.
  /// Possible string values are:
  /// - "UNKNOWN_LANDMARK" : Unknown face landmark detected. Should not be
  /// filled.
  /// - "LEFT_EYE" : Left eye.
  /// - "RIGHT_EYE" : Right eye.
  /// - "LEFT_OF_LEFT_EYEBROW" : Left of left eyebrow.
  /// - "RIGHT_OF_LEFT_EYEBROW" : Right of left eyebrow.
  /// - "LEFT_OF_RIGHT_EYEBROW" : Left of right eyebrow.
  /// - "RIGHT_OF_RIGHT_EYEBROW" : Right of right eyebrow.
  /// - "MIDPOINT_BETWEEN_EYES" : Midpoint between eyes.
  /// - "NOSE_TIP" : Nose tip.
  /// - "UPPER_LIP" : Upper lip.
  /// - "LOWER_LIP" : Lower lip.
  /// - "MOUTH_LEFT" : Mouth left.
  /// - "MOUTH_RIGHT" : Mouth right.
  /// - "MOUTH_CENTER" : Mouth center.
  /// - "NOSE_BOTTOM_RIGHT" : Nose, bottom right.
  /// - "NOSE_BOTTOM_LEFT" : Nose, bottom left.
  /// - "NOSE_BOTTOM_CENTER" : Nose, bottom center.
  /// - "LEFT_EYE_TOP_BOUNDARY" : Left eye, top boundary.
  /// - "LEFT_EYE_RIGHT_CORNER" : Left eye, right corner.
  /// - "LEFT_EYE_BOTTOM_BOUNDARY" : Left eye, bottom boundary.
  /// - "LEFT_EYE_LEFT_CORNER" : Left eye, left corner.
  /// - "RIGHT_EYE_TOP_BOUNDARY" : Right eye, top boundary.
  /// - "RIGHT_EYE_RIGHT_CORNER" : Right eye, right corner.
  /// - "RIGHT_EYE_BOTTOM_BOUNDARY" : Right eye, bottom boundary.
  /// - "RIGHT_EYE_LEFT_CORNER" : Right eye, left corner.
  /// - "LEFT_EYEBROW_UPPER_MIDPOINT" : Left eyebrow, upper midpoint.
  /// - "RIGHT_EYEBROW_UPPER_MIDPOINT" : Right eyebrow, upper midpoint.
  /// - "LEFT_EAR_TRAGION" : Left ear tragion.
  /// - "RIGHT_EAR_TRAGION" : Right ear tragion.
  /// - "LEFT_EYE_PUPIL" : Left eye pupil.
  /// - "RIGHT_EYE_PUPIL" : Right eye pupil.
  /// - "FOREHEAD_GLABELLA" : Forehead glabella.
  /// - "CHIN_GNATHION" : Chin gnathion.
  /// - "CHIN_LEFT_GONION" : Chin left gonion.
  /// - "CHIN_RIGHT_GONION" : Chin right gonion.
  /// - "LEFT_CHEEK_CENTER" : Left cheek center.
  /// - "RIGHT_CHEEK_CENTER" : Right cheek center.
  core.String type;

  GoogleCloudVisionV1p4beta1FaceAnnotationLandmark();

  GoogleCloudVisionV1p4beta1FaceAnnotationLandmark.fromJson(core.Map _json) {
    if (_json.containsKey('position')) {
      position = GoogleCloudVisionV1p4beta1Position.fromJson(_json['position']);
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// Information about a face's identity.
class GoogleCloudVisionV1p4beta1FaceRecognitionResult {
  /// The Celebrity that this face was matched to.
  GoogleCloudVisionV1p4beta1Celebrity celebrity;

  /// Recognition confidence. Range [0, 1].
  core.double confidence;

  GoogleCloudVisionV1p4beta1FaceRecognitionResult();

  GoogleCloudVisionV1p4beta1FaceRecognitionResult.fromJson(core.Map _json) {
    if (_json.containsKey('celebrity')) {
      celebrity =
          GoogleCloudVisionV1p4beta1Celebrity.fromJson(_json['celebrity']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (celebrity != null) {
      _json['celebrity'] = celebrity.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    return _json;
  }
}

/// The Google Cloud Storage location where the output will be written to.
class GoogleCloudVisionV1p4beta1GcsDestination {
  /// Google Cloud Storage URI prefix where the results will be stored. Results
  /// will be in JSON format and preceded by its corresponding input URI prefix.
  /// This field can either represent a gcs file prefix or gcs directory. In
  /// either case, the uri should be unique because in order to get all of the
  /// output files, you will need to do a wildcard gcs search on the uri prefix
  /// you provide. Examples: * File Prefix: gs://bucket-name/here/filenameprefix
  /// The output files will be created in gs://bucket-name/here/ and the names
  /// of the output files will begin with "filenameprefix". * Directory Prefix:
  /// gs://bucket-name/some/location/ The output files will be created in
  /// gs://bucket-name/some/location/ and the names of the output files could be
  /// anything because there was no filename prefix specified. If multiple
  /// outputs, each response is still AnnotateFileResponse, each of which
  /// contains some subset of the full list of AnnotateImageResponse. Multiple
  /// outputs can happen if, for example, the output JSON is too large and
  /// overflows into multiple sharded files.
  core.String uri;

  GoogleCloudVisionV1p4beta1GcsDestination();

  GoogleCloudVisionV1p4beta1GcsDestination.fromJson(core.Map _json) {
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// The Google Cloud Storage location where the input will be read from.
class GoogleCloudVisionV1p4beta1GcsSource {
  /// Google Cloud Storage URI for the input file. This must only be a Google
  /// Cloud Storage object. Wildcards are not currently supported.
  core.String uri;

  GoogleCloudVisionV1p4beta1GcsSource();

  GoogleCloudVisionV1p4beta1GcsSource.fromJson(core.Map _json) {
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// If an image was produced from a file (e.g. a PDF), this message gives
/// information about the source of that image.
class GoogleCloudVisionV1p4beta1ImageAnnotationContext {
  /// If the file was a PDF or TIFF, this field gives the page number within the
  /// file used to produce the image.
  core.int pageNumber;

  /// The URI of the file used to produce the image.
  core.String uri;

  GoogleCloudVisionV1p4beta1ImageAnnotationContext();

  GoogleCloudVisionV1p4beta1ImageAnnotationContext.fromJson(core.Map _json) {
    if (_json.containsKey('pageNumber')) {
      pageNumber = _json['pageNumber'] as core.int;
    }
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pageNumber != null) {
      _json['pageNumber'] = pageNumber;
    }
    if (uri != null) {
      _json['uri'] = uri;
    }
    return _json;
  }
}

/// Stores image properties, such as dominant colors.
class GoogleCloudVisionV1p4beta1ImageProperties {
  /// If present, dominant colors completed successfully.
  GoogleCloudVisionV1p4beta1DominantColorsAnnotation dominantColors;

  GoogleCloudVisionV1p4beta1ImageProperties();

  GoogleCloudVisionV1p4beta1ImageProperties.fromJson(core.Map _json) {
    if (_json.containsKey('dominantColors')) {
      dominantColors =
          GoogleCloudVisionV1p4beta1DominantColorsAnnotation.fromJson(
              _json['dominantColors']);
    }
  }

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

/// Response message for the `ImportProductSets` method. This message is
/// returned by the google.longrunning.Operations.GetOperation method in the
/// returned google.longrunning.Operation.response field.
class GoogleCloudVisionV1p4beta1ImportProductSetsResponse {
  /// The list of reference_images that are imported successfully.
  core.List<GoogleCloudVisionV1p4beta1ReferenceImage> referenceImages;

  /// The rpc status for each ImportProductSet request, including both successes
  /// and errors. The number of statuses here matches the number of lines in the
  /// csv file, and statuses[i] stores the success or failure status of
  /// processing the i-th line of the csv, starting from line 0.
  core.List<Status> statuses;

  GoogleCloudVisionV1p4beta1ImportProductSetsResponse();

  GoogleCloudVisionV1p4beta1ImportProductSetsResponse.fromJson(core.Map _json) {
    if (_json.containsKey('referenceImages')) {
      referenceImages = (_json['referenceImages'] as core.List)
          .map<GoogleCloudVisionV1p4beta1ReferenceImage>((value) =>
              GoogleCloudVisionV1p4beta1ReferenceImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('statuses')) {
      statuses = (_json['statuses'] as core.List)
          .map<Status>((value) => Status.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (referenceImages != null) {
      _json['referenceImages'] =
          referenceImages.map((value) => value.toJson()).toList();
    }
    if (statuses != null) {
      _json['statuses'] = statuses.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// The desired input location and metadata.
class GoogleCloudVisionV1p4beta1InputConfig {
  /// File content, represented as a stream of bytes. Note: As with all `bytes`
  /// fields, protobuffers use a pure binary representation, whereas JSON
  /// representations use base64. Currently, this field only works for
  /// BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles
  /// requests.
  core.String content;
  core.List<core.int> get contentAsBytes => convert.base64.decode(content);

  set contentAsBytes(core.List<core.int> _bytes) {
    content =
        convert.base64.encode(_bytes).replaceAll('/', '_').replaceAll('+', '-');
  }

  /// The Google Cloud Storage location to read the input from.
  GoogleCloudVisionV1p4beta1GcsSource gcsSource;

  /// The type of the file. Currently only "application/pdf", "image/tiff" and
  /// "image/gif" are supported. Wildcards are not supported.
  core.String mimeType;

  GoogleCloudVisionV1p4beta1InputConfig();

  GoogleCloudVisionV1p4beta1InputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('content')) {
      content = _json['content'] as core.String;
    }
    if (_json.containsKey('gcsSource')) {
      gcsSource =
          GoogleCloudVisionV1p4beta1GcsSource.fromJson(_json['gcsSource']);
    }
    if (_json.containsKey('mimeType')) {
      mimeType = _json['mimeType'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (content != null) {
      _json['content'] = content;
    }
    if (gcsSource != null) {
      _json['gcsSource'] = gcsSource.toJson();
    }
    if (mimeType != null) {
      _json['mimeType'] = mimeType;
    }
    return _json;
  }
}

/// Set of detected objects with bounding boxes.
class GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation {
  /// Image region to which this object belongs. This must be populated.
  GoogleCloudVisionV1p4beta1BoundingPoly boundingPoly;

  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  /// Object ID that should align with EntityAnnotation mid.
  core.String mid;

  /// Object name, expressed in its `language_code` language.
  core.String name;

  /// Score of the result. Range [0, 1].
  core.double score;

  GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation();

  GoogleCloudVisionV1p4beta1LocalizedObjectAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Detected entity location information.
class GoogleCloudVisionV1p4beta1LocationInfo {
  /// lat/long location coordinates.
  LatLng latLng;

  GoogleCloudVisionV1p4beta1LocationInfo();

  GoogleCloudVisionV1p4beta1LocationInfo.fromJson(core.Map _json) {
    if (_json.containsKey('latLng')) {
      latLng = LatLng.fromJson(_json['latLng']);
    }
  }

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

/// A vertex represents a 2D point in the image. NOTE: the normalized vertex
/// coordinates are relative to the original image and range from 0 to 1.
class GoogleCloudVisionV1p4beta1NormalizedVertex {
  /// X coordinate.
  core.double x;

  /// Y coordinate.
  core.double y;

  GoogleCloudVisionV1p4beta1NormalizedVertex();

  GoogleCloudVisionV1p4beta1NormalizedVertex.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = (_json['x'] as core.num).toDouble();
    }
    if (_json.containsKey('y')) {
      y = (_json['y'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    return _json;
  }
}

/// Contains metadata for the BatchAnnotateImages operation.
class GoogleCloudVisionV1p4beta1OperationMetadata {
  /// The time when the batch request was received.
  core.String createTime;

  /// Current state of the batch operation.
  /// Possible string values are:
  /// - "STATE_UNSPECIFIED" : Invalid.
  /// - "CREATED" : Request is received.
  /// - "RUNNING" : Request is actively being processed.
  /// - "DONE" : The batch processing is done.
  /// - "CANCELLED" : The batch processing was cancelled.
  core.String state;

  /// The time when the operation result was last updated.
  core.String updateTime;

  GoogleCloudVisionV1p4beta1OperationMetadata();

  GoogleCloudVisionV1p4beta1OperationMetadata.fromJson(core.Map _json) {
    if (_json.containsKey('createTime')) {
      createTime = _json['createTime'] as core.String;
    }
    if (_json.containsKey('state')) {
      state = _json['state'] as core.String;
    }
    if (_json.containsKey('updateTime')) {
      updateTime = _json['updateTime'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (createTime != null) {
      _json['createTime'] = createTime;
    }
    if (state != null) {
      _json['state'] = state;
    }
    if (updateTime != null) {
      _json['updateTime'] = updateTime;
    }
    return _json;
  }
}

/// The desired output location and metadata.
class GoogleCloudVisionV1p4beta1OutputConfig {
  /// The max number of response protos to put into each output JSON file on
  /// Google Cloud Storage. The valid range is [1, 100]. If not specified, the
  /// default value is 20. For example, for one pdf file with 100 pages, 100
  /// response protos will be generated. If `batch_size` = 20, then 5 json files
  /// each containing 20 response protos will be written under the prefix
  /// `gcs_destination`.`uri`. Currently, batch_size only applies to
  /// GcsDestination, with potential future support for other output
  /// configurations.
  core.int batchSize;

  /// The Google Cloud Storage location to write the output(s) to.
  GoogleCloudVisionV1p4beta1GcsDestination gcsDestination;

  GoogleCloudVisionV1p4beta1OutputConfig();

  GoogleCloudVisionV1p4beta1OutputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('batchSize')) {
      batchSize = _json['batchSize'] as core.int;
    }
    if (_json.containsKey('gcsDestination')) {
      gcsDestination = GoogleCloudVisionV1p4beta1GcsDestination.fromJson(
          _json['gcsDestination']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (batchSize != null) {
      _json['batchSize'] = batchSize;
    }
    if (gcsDestination != null) {
      _json['gcsDestination'] = gcsDestination.toJson();
    }
    return _json;
  }
}

/// Detected page from OCR.
class GoogleCloudVisionV1p4beta1Page {
  /// List of blocks of text, images etc on this page.
  core.List<GoogleCloudVisionV1p4beta1Block> blocks;

  /// Confidence of the OCR results on the page. Range [0, 1].
  core.double confidence;

  /// Page height. For PDFs the unit is points. For images (including TIFFs) the
  /// unit is pixels.
  core.int height;

  /// Additional information detected on the page.
  GoogleCloudVisionV1p4beta1TextAnnotationTextProperty property;

  /// Page width. For PDFs the unit is points. For images (including TIFFs) the
  /// unit is pixels.
  core.int width;

  GoogleCloudVisionV1p4beta1Page();

  GoogleCloudVisionV1p4beta1Page.fromJson(core.Map _json) {
    if (_json.containsKey('blocks')) {
      blocks = (_json['blocks'] as core.List)
          .map<GoogleCloudVisionV1p4beta1Block>(
              (value) => GoogleCloudVisionV1p4beta1Block.fromJson(value))
          .toList();
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('height')) {
      height = _json['height'] as core.int;
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p4beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('width')) {
      width = _json['width'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (blocks != null) {
      _json['blocks'] = blocks.map((value) => value.toJson()).toList();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (height != null) {
      _json['height'] = height;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (width != null) {
      _json['width'] = width;
    }
    return _json;
  }
}

/// Structural unit of text representing a number of words in certain order.
class GoogleCloudVisionV1p4beta1Paragraph {
  /// The bounding box for the paragraph. The vertices are in the order of
  /// top-left, top-right, bottom-right, bottom-left. When a rotation of the
  /// bounding box is detected the rotation is represented as around the
  /// top-left corner as defined when the text is read in the 'natural'
  /// orientation. For example: * when the text is horizontal it might look
  /// like: 0----1 | | 3----2 * when it's rotated 180 degrees around the
  /// top-left corner it becomes: 2----3 | | 1----0 and the vertex order will
  /// still be (0, 1, 2, 3).
  GoogleCloudVisionV1p4beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the paragraph. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the paragraph.
  GoogleCloudVisionV1p4beta1TextAnnotationTextProperty property;

  /// List of all words in this paragraph.
  core.List<GoogleCloudVisionV1p4beta1Word> words;

  GoogleCloudVisionV1p4beta1Paragraph();

  GoogleCloudVisionV1p4beta1Paragraph.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p4beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('words')) {
      words = (_json['words'] as core.List)
          .map<GoogleCloudVisionV1p4beta1Word>(
              (value) => GoogleCloudVisionV1p4beta1Word.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (words != null) {
      _json['words'] = words.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A 3D position in the image, used primarily for Face detection landmarks. A
/// valid Position must have both x and y coordinates. The position coordinates
/// are in the same scale as the original image.
class GoogleCloudVisionV1p4beta1Position {
  /// X coordinate.
  core.double x;

  /// Y coordinate.
  core.double y;

  /// Z coordinate (or depth).
  core.double z;

  GoogleCloudVisionV1p4beta1Position();

  GoogleCloudVisionV1p4beta1Position.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = (_json['x'] as core.num).toDouble();
    }
    if (_json.containsKey('y')) {
      y = (_json['y'] as core.num).toDouble();
    }
    if (_json.containsKey('z')) {
      z = (_json['z'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    if (z != null) {
      _json['z'] = z;
    }
    return _json;
  }
}

/// A Product contains ReferenceImages.
class GoogleCloudVisionV1p4beta1Product {
  /// User-provided metadata to be stored with this product. Must be at most
  /// 4096 characters long.
  core.String description;

  /// The user-provided name for this Product. Must not be empty. Must be at
  /// most 4096 characters long.
  core.String displayName;

  /// The resource name of the product. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is
  /// ignored when creating a product.
  core.String name;

  /// Immutable. The category for the product identified by the reference image.
  /// This should be one of "homegoods-v2", "apparel-v2", "toys-v2",
  /// "packagedgoods-v1" or "general-v1". The legacy categories "homegoods",
  /// "apparel", and "toys" are still supported, but these should not be used
  /// for new products.
  core.String productCategory;

  /// Key-value pairs that can be attached to a product. At query time,
  /// constraints can be specified based on the product_labels. Note that
  /// integer values can be provided as strings, e.g. "1199". Only strings with
  /// integer values can match a range-based restriction which is to be
  /// supported soon. Multiple values can be assigned to the same key. One
  /// product may have up to 500 product_labels. Notice that the total number of
  /// distinct product_labels over all products in one ProductSet cannot exceed
  /// 1M, otherwise the product search pipeline will refuse to work for that
  /// ProductSet.
  core.List<GoogleCloudVisionV1p4beta1ProductKeyValue> productLabels;

  GoogleCloudVisionV1p4beta1Product();

  GoogleCloudVisionV1p4beta1Product.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('displayName')) {
      displayName = _json['displayName'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('productCategory')) {
      productCategory = _json['productCategory'] as core.String;
    }
    if (_json.containsKey('productLabels')) {
      productLabels = (_json['productLabels'] as core.List)
          .map<GoogleCloudVisionV1p4beta1ProductKeyValue>((value) =>
              GoogleCloudVisionV1p4beta1ProductKeyValue.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (displayName != null) {
      _json['displayName'] = displayName;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (productCategory != null) {
      _json['productCategory'] = productCategory;
    }
    if (productLabels != null) {
      _json['productLabels'] =
          productLabels.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A product label represented as a key-value pair.
class GoogleCloudVisionV1p4beta1ProductKeyValue {
  /// The key of the label attached to the product. Cannot be empty and cannot
  /// exceed 128 bytes.
  core.String key;

  /// The value of the label attached to the product. Cannot be empty and cannot
  /// exceed 128 bytes.
  core.String value;

  GoogleCloudVisionV1p4beta1ProductKeyValue();

  GoogleCloudVisionV1p4beta1ProductKeyValue.fromJson(core.Map _json) {
    if (_json.containsKey('key')) {
      key = _json['key'] as core.String;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (key != null) {
      _json['key'] = key;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// Results for a product search request.
class GoogleCloudVisionV1p4beta1ProductSearchResults {
  /// Timestamp of the index which provided these results. Products added to the
  /// product set and products removed from the product set after this time are
  /// not reflected in the current results.
  core.String indexTime;

  /// List of results grouped by products detected in the query image. Each
  /// entry corresponds to one bounding polygon in the query image, and contains
  /// the matching products specific to that region. There may be duplicate
  /// product matches in the union of all the per-product results.
  core.List<GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult>
      productGroupedResults;

  /// List of results, one for each product match.
  core.List<GoogleCloudVisionV1p4beta1ProductSearchResultsResult> results;

  GoogleCloudVisionV1p4beta1ProductSearchResults();

  GoogleCloudVisionV1p4beta1ProductSearchResults.fromJson(core.Map _json) {
    if (_json.containsKey('indexTime')) {
      indexTime = _json['indexTime'] as core.String;
    }
    if (_json.containsKey('productGroupedResults')) {
      productGroupedResults = (_json['productGroupedResults'] as core.List)
          .map<GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult>(
              (value) =>
                  GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult
                      .fromJson(value))
          .toList();
    }
    if (_json.containsKey('results')) {
      results = (_json['results'] as core.List)
          .map<GoogleCloudVisionV1p4beta1ProductSearchResultsResult>((value) =>
              GoogleCloudVisionV1p4beta1ProductSearchResultsResult.fromJson(
                  value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (indexTime != null) {
      _json['indexTime'] = indexTime;
    }
    if (productGroupedResults != null) {
      _json['productGroupedResults'] =
          productGroupedResults.map((value) => value.toJson()).toList();
    }
    if (results != null) {
      _json['results'] = results.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Information about the products similar to a single product in a query image.
class GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult {
  /// The bounding polygon around the product detected in the query image.
  GoogleCloudVisionV1p4beta1BoundingPoly boundingPoly;

  /// List of generic predictions for the object in the bounding box.
  core.List<GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation>
      objectAnnotations;

  /// List of results, one for each product match.
  core.List<GoogleCloudVisionV1p4beta1ProductSearchResultsResult> results;

  GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult();

  GoogleCloudVisionV1p4beta1ProductSearchResultsGroupedResult.fromJson(
      core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(
          _json['boundingPoly']);
    }
    if (_json.containsKey('objectAnnotations')) {
      objectAnnotations = (_json['objectAnnotations'] as core.List)
          .map<GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation>(
              (value) =>
                  GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation
                      .fromJson(value))
          .toList();
    }
    if (_json.containsKey('results')) {
      results = (_json['results'] as core.List)
          .map<GoogleCloudVisionV1p4beta1ProductSearchResultsResult>((value) =>
              GoogleCloudVisionV1p4beta1ProductSearchResultsResult.fromJson(
                  value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (objectAnnotations != null) {
      _json['objectAnnotations'] =
          objectAnnotations.map((value) => value.toJson()).toList();
    }
    if (results != null) {
      _json['results'] = results.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Prediction for what the object in the bounding box is.
class GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation {
  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  /// Object ID that should align with EntityAnnotation mid.
  core.String mid;

  /// Object name, expressed in its `language_code` language.
  core.String name;

  /// Score of the result. Range [0, 1].
  core.double score;

  GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation();

  GoogleCloudVisionV1p4beta1ProductSearchResultsObjectAnnotation.fromJson(
      core.Map _json) {
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Information about a product.
class GoogleCloudVisionV1p4beta1ProductSearchResultsResult {
  /// The resource name of the image from the product that is the closest match
  /// to the query.
  core.String image;

  /// The Product.
  GoogleCloudVisionV1p4beta1Product product;

  /// A confidence level on the match, ranging from 0 (no confidence) to 1 (full
  /// confidence).
  core.double score;

  GoogleCloudVisionV1p4beta1ProductSearchResultsResult();

  GoogleCloudVisionV1p4beta1ProductSearchResultsResult.fromJson(
      core.Map _json) {
    if (_json.containsKey('image')) {
      image = _json['image'] as core.String;
    }
    if (_json.containsKey('product')) {
      product = GoogleCloudVisionV1p4beta1Product.fromJson(_json['product']);
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (image != null) {
      _json['image'] = image;
    }
    if (product != null) {
      _json['product'] = product.toJson();
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// A `Property` consists of a user-supplied name/value pair.
class GoogleCloudVisionV1p4beta1Property {
  /// Name of the property.
  core.String name;

  /// Value of numeric properties.
  core.String uint64Value;

  /// Value of the property.
  core.String value;

  GoogleCloudVisionV1p4beta1Property();

  GoogleCloudVisionV1p4beta1Property.fromJson(core.Map _json) {
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('uint64Value')) {
      uint64Value = _json['uint64Value'] as core.String;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (name != null) {
      _json['name'] = name;
    }
    if (uint64Value != null) {
      _json['uint64Value'] = uint64Value;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// A `ReferenceImage` represents a product image and its associated metadata,
/// such as bounding boxes.
class GoogleCloudVisionV1p4beta1ReferenceImage {
  /// Optional. Bounding polygons around the areas of interest in the reference
  /// image. If this field is empty, the system will try to detect regions of
  /// interest. At most 10 bounding polygons will be used. The provided shape is
  /// converted into a non-rotated rectangle. Once converted, the small edge of
  /// the rectangle must be greater than or equal to 300 pixels. The aspect
  /// ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).
  core.List<GoogleCloudVisionV1p4beta1BoundingPoly> boundingPolys;

  /// The resource name of the reference image. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`.
  /// This field is ignored when creating a reference image.
  core.String name;

  /// Required. The Google Cloud Storage URI of the reference image. The URI
  /// must start with `gs://`.
  core.String uri;

  GoogleCloudVisionV1p4beta1ReferenceImage();

  GoogleCloudVisionV1p4beta1ReferenceImage.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPolys')) {
      boundingPolys = (_json['boundingPolys'] as core.List)
          .map<GoogleCloudVisionV1p4beta1BoundingPoly>(
              (value) => GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(value))
          .toList();
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// Set of features pertaining to the image, computed by computer vision methods
/// over safe-search verticals (for example, adult, spoof, medical, violence).
class GoogleCloudVisionV1p4beta1SafeSearchAnnotation {
  /// Represents the adult content likelihood for the image. Adult content may
  /// contain elements such as nudity, pornographic images or cartoons, or
  /// sexual activities.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String adult;

  /// Likelihood that this is a medical image.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String medical;

  /// Likelihood that the request image contains racy content. Racy content may
  /// include (but is not limited to) skimpy or sheer clothing, strategically
  /// covered nudity, lewd or provocative poses, or close-ups of sensitive body
  /// areas.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String racy;

  /// Spoof likelihood. The likelihood that an modification was made to the
  /// image's canonical version to make it appear funny or offensive.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String spoof;

  /// Likelihood that this image contains violent content.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String violence;

  GoogleCloudVisionV1p4beta1SafeSearchAnnotation();

  GoogleCloudVisionV1p4beta1SafeSearchAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('adult')) {
      adult = _json['adult'] as core.String;
    }
    if (_json.containsKey('medical')) {
      medical = _json['medical'] as core.String;
    }
    if (_json.containsKey('racy')) {
      racy = _json['racy'] as core.String;
    }
    if (_json.containsKey('spoof')) {
      spoof = _json['spoof'] as core.String;
    }
    if (_json.containsKey('violence')) {
      violence = _json['violence'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (adult != null) {
      _json['adult'] = adult;
    }
    if (medical != null) {
      _json['medical'] = medical;
    }
    if (racy != null) {
      _json['racy'] = racy;
    }
    if (spoof != null) {
      _json['spoof'] = spoof;
    }
    if (violence != null) {
      _json['violence'] = violence;
    }
    return _json;
  }
}

/// A single symbol representation.
class GoogleCloudVisionV1p4beta1Symbol {
  /// The bounding box for the symbol. The vertices are in the order of
  /// top-left, top-right, bottom-right, bottom-left. When a rotation of the
  /// bounding box is detected the rotation is represented as around the
  /// top-left corner as defined when the text is read in the 'natural'
  /// orientation. For example: * when the text is horizontal it might look
  /// like: 0----1 | | 3----2 * when it's rotated 180 degrees around the
  /// top-left corner it becomes: 2----3 | | 1----0 and the vertex order will
  /// still be (0, 1, 2, 3).
  GoogleCloudVisionV1p4beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the symbol. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the symbol.
  GoogleCloudVisionV1p4beta1TextAnnotationTextProperty property;

  /// The actual UTF-8 representation of the symbol.
  core.String text;

  GoogleCloudVisionV1p4beta1Symbol();

  GoogleCloudVisionV1p4beta1Symbol.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p4beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('text')) {
      text = _json['text'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (text != null) {
      _json['text'] = text;
    }
    return _json;
  }
}

/// TextAnnotation contains a structured representation of OCR extracted text.
/// The hierarchy of an OCR extracted text structure is like this:
/// TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each
/// structural component, starting from Page, may further have their own
/// properties. Properties describe detected languages, breaks etc.. Please
/// refer to the TextAnnotation.TextProperty message definition below for more
/// detail.
class GoogleCloudVisionV1p4beta1TextAnnotation {
  /// List of pages detected by OCR.
  core.List<GoogleCloudVisionV1p4beta1Page> pages;

  /// UTF-8 text detected on the pages.
  core.String text;

  GoogleCloudVisionV1p4beta1TextAnnotation();

  GoogleCloudVisionV1p4beta1TextAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('pages')) {
      pages = (_json['pages'] as core.List)
          .map<GoogleCloudVisionV1p4beta1Page>(
              (value) => GoogleCloudVisionV1p4beta1Page.fromJson(value))
          .toList();
    }
    if (_json.containsKey('text')) {
      text = _json['text'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pages != null) {
      _json['pages'] = pages.map((value) => value.toJson()).toList();
    }
    if (text != null) {
      _json['text'] = text;
    }
    return _json;
  }
}

/// Detected start or end of a structural component.
class GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak {
  /// True if break prepends the element.
  core.bool isPrefix;

  /// Detected break type.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown break label type.
  /// - "SPACE" : Regular space.
  /// - "SURE_SPACE" : Sure space (very wide).
  /// - "EOL_SURE_SPACE" : Line-wrapping break.
  /// - "HYPHEN" : End-line hyphen that is not present in text; does not
  /// co-occur with `SPACE`, `LEADER_SPACE`, or `LINE_BREAK`.
  /// - "LINE_BREAK" : Line break that ends a paragraph.
  core.String type;

  GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak();

  GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak.fromJson(
      core.Map _json) {
    if (_json.containsKey('isPrefix')) {
      isPrefix = _json['isPrefix'] as core.bool;
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// Detected language for a structural component.
class GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage {
  /// Confidence of detected language. Range [0, 1].
  core.double confidence;

  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage();

  GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage.fromJson(
      core.Map _json) {
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    return _json;
  }
}

/// Additional information detected on the structural component.
class GoogleCloudVisionV1p4beta1TextAnnotationTextProperty {
  /// Detected start or end of a text segment.
  GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak detectedBreak;

  /// A list of detected languages together with confidence.
  core.List<GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage>
      detectedLanguages;

  GoogleCloudVisionV1p4beta1TextAnnotationTextProperty();

  GoogleCloudVisionV1p4beta1TextAnnotationTextProperty.fromJson(
      core.Map _json) {
    if (_json.containsKey('detectedBreak')) {
      detectedBreak =
          GoogleCloudVisionV1p4beta1TextAnnotationDetectedBreak.fromJson(
              _json['detectedBreak']);
    }
    if (_json.containsKey('detectedLanguages')) {
      detectedLanguages = (_json['detectedLanguages'] as core.List)
          .map<GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage>(
              (value) =>
                  GoogleCloudVisionV1p4beta1TextAnnotationDetectedLanguage
                      .fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (detectedBreak != null) {
      _json['detectedBreak'] = detectedBreak.toJson();
    }
    if (detectedLanguages != null) {
      _json['detectedLanguages'] =
          detectedLanguages.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A vertex represents a 2D point in the image. NOTE: the vertex coordinates
/// are in the same scale as the original image.
class GoogleCloudVisionV1p4beta1Vertex {
  /// X coordinate.
  core.int x;

  /// Y coordinate.
  core.int y;

  GoogleCloudVisionV1p4beta1Vertex();

  GoogleCloudVisionV1p4beta1Vertex.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = _json['x'] as core.int;
    }
    if (_json.containsKey('y')) {
      y = _json['y'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    return _json;
  }
}

/// Relevant information for the image from the Internet.
class GoogleCloudVisionV1p4beta1WebDetection {
  /// The service's best guess as to the topic of the request image. Inferred
  /// from similar images on the open web.
  core.List<GoogleCloudVisionV1p4beta1WebDetectionWebLabel> bestGuessLabels;

  /// Fully matching images from the Internet. Can include resized copies of the
  /// query image.
  core.List<GoogleCloudVisionV1p4beta1WebDetectionWebImage> fullMatchingImages;

  /// Web pages containing the matching images from the Internet.
  core.List<GoogleCloudVisionV1p4beta1WebDetectionWebPage>
      pagesWithMatchingImages;

  /// Partial matching images from the Internet. Those images are similar enough
  /// to share some key-point features. For example an original image will
  /// likely have partial matching for its crops.
  core.List<GoogleCloudVisionV1p4beta1WebDetectionWebImage>
      partialMatchingImages;

  /// The visually similar image results.
  core.List<GoogleCloudVisionV1p4beta1WebDetectionWebImage>
      visuallySimilarImages;

  /// Deduced entities from similar images on the Internet.
  core.List<GoogleCloudVisionV1p4beta1WebDetectionWebEntity> webEntities;

  GoogleCloudVisionV1p4beta1WebDetection();

  GoogleCloudVisionV1p4beta1WebDetection.fromJson(core.Map _json) {
    if (_json.containsKey('bestGuessLabels')) {
      bestGuessLabels = (_json['bestGuessLabels'] as core.List)
          .map<GoogleCloudVisionV1p4beta1WebDetectionWebLabel>((value) =>
              GoogleCloudVisionV1p4beta1WebDetectionWebLabel.fromJson(value))
          .toList();
    }
    if (_json.containsKey('fullMatchingImages')) {
      fullMatchingImages = (_json['fullMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p4beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p4beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('pagesWithMatchingImages')) {
      pagesWithMatchingImages = (_json['pagesWithMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p4beta1WebDetectionWebPage>((value) =>
              GoogleCloudVisionV1p4beta1WebDetectionWebPage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('partialMatchingImages')) {
      partialMatchingImages = (_json['partialMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p4beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p4beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('visuallySimilarImages')) {
      visuallySimilarImages = (_json['visuallySimilarImages'] as core.List)
          .map<GoogleCloudVisionV1p4beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p4beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('webEntities')) {
      webEntities = (_json['webEntities'] as core.List)
          .map<GoogleCloudVisionV1p4beta1WebDetectionWebEntity>((value) =>
              GoogleCloudVisionV1p4beta1WebDetectionWebEntity.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (bestGuessLabels != null) {
      _json['bestGuessLabels'] =
          bestGuessLabels.map((value) => value.toJson()).toList();
    }
    if (fullMatchingImages != null) {
      _json['fullMatchingImages'] =
          fullMatchingImages.map((value) => value.toJson()).toList();
    }
    if (pagesWithMatchingImages != null) {
      _json['pagesWithMatchingImages'] =
          pagesWithMatchingImages.map((value) => value.toJson()).toList();
    }
    if (partialMatchingImages != null) {
      _json['partialMatchingImages'] =
          partialMatchingImages.map((value) => value.toJson()).toList();
    }
    if (visuallySimilarImages != null) {
      _json['visuallySimilarImages'] =
          visuallySimilarImages.map((value) => value.toJson()).toList();
    }
    if (webEntities != null) {
      _json['webEntities'] =
          webEntities.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Entity deduced from similar images on the Internet.
class GoogleCloudVisionV1p4beta1WebDetectionWebEntity {
  /// Canonical description of the entity, in English.
  core.String description;

  /// Opaque entity ID.
  core.String entityId;

  /// Overall relevancy score for the entity. Not normalized and not comparable
  /// across different image queries.
  core.double score;

  GoogleCloudVisionV1p4beta1WebDetectionWebEntity();

  GoogleCloudVisionV1p4beta1WebDetectionWebEntity.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('entityId')) {
      entityId = _json['entityId'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (entityId != null) {
      _json['entityId'] = entityId;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Metadata for online images.
class GoogleCloudVisionV1p4beta1WebDetectionWebImage {
  /// (Deprecated) Overall relevancy score for the image.
  core.double score;

  /// The result image URL.
  core.String url;

  GoogleCloudVisionV1p4beta1WebDetectionWebImage();

  GoogleCloudVisionV1p4beta1WebDetectionWebImage.fromJson(core.Map _json) {
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('url')) {
      url = _json['url'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (score != null) {
      _json['score'] = score;
    }
    if (url != null) {
      _json['url'] = url;
    }
    return _json;
  }
}

/// Label to provide extra metadata for the web detection.
class GoogleCloudVisionV1p4beta1WebDetectionWebLabel {
  /// Label for extra metadata.
  core.String label;

  /// The BCP-47 language code for `label`, such as "en-US" or "sr-Latn". For
  /// more information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  GoogleCloudVisionV1p4beta1WebDetectionWebLabel();

  GoogleCloudVisionV1p4beta1WebDetectionWebLabel.fromJson(core.Map _json) {
    if (_json.containsKey('label')) {
      label = _json['label'] as core.String;
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (label != null) {
      _json['label'] = label;
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    return _json;
  }
}

/// Metadata for web pages.
class GoogleCloudVisionV1p4beta1WebDetectionWebPage {
  /// Fully matching images on the page. Can include resized copies of the query
  /// image.
  core.List<GoogleCloudVisionV1p4beta1WebDetectionWebImage> fullMatchingImages;

  /// Title for the web page, may contain HTML markups.
  core.String pageTitle;

  /// Partial matching images on the page. Those images are similar enough to
  /// share some key-point features. For example an original image will likely
  /// have partial matching for its crops.
  core.List<GoogleCloudVisionV1p4beta1WebDetectionWebImage>
      partialMatchingImages;

  /// (Deprecated) Overall relevancy score for the web page.
  core.double score;

  /// The result web page URL.
  core.String url;

  GoogleCloudVisionV1p4beta1WebDetectionWebPage();

  GoogleCloudVisionV1p4beta1WebDetectionWebPage.fromJson(core.Map _json) {
    if (_json.containsKey('fullMatchingImages')) {
      fullMatchingImages = (_json['fullMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p4beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p4beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('pageTitle')) {
      pageTitle = _json['pageTitle'] as core.String;
    }
    if (_json.containsKey('partialMatchingImages')) {
      partialMatchingImages = (_json['partialMatchingImages'] as core.List)
          .map<GoogleCloudVisionV1p4beta1WebDetectionWebImage>((value) =>
              GoogleCloudVisionV1p4beta1WebDetectionWebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('url')) {
      url = _json['url'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (fullMatchingImages != null) {
      _json['fullMatchingImages'] =
          fullMatchingImages.map((value) => value.toJson()).toList();
    }
    if (pageTitle != null) {
      _json['pageTitle'] = pageTitle;
    }
    if (partialMatchingImages != null) {
      _json['partialMatchingImages'] =
          partialMatchingImages.map((value) => value.toJson()).toList();
    }
    if (score != null) {
      _json['score'] = score;
    }
    if (url != null) {
      _json['url'] = url;
    }
    return _json;
  }
}

/// A word representation.
class GoogleCloudVisionV1p4beta1Word {
  /// The bounding box for the word. The vertices are in the order of top-left,
  /// top-right, bottom-right, bottom-left. When a rotation of the bounding box
  /// is detected the rotation is represented as around the top-left corner as
  /// defined when the text is read in the 'natural' orientation. For example: *
  /// when the text is horizontal it might look like: 0----1 | | 3----2 * when
  /// it's rotated 180 degrees around the top-left corner it becomes: 2----3 | |
  /// 1----0 and the vertex order will still be (0, 1, 2, 3).
  GoogleCloudVisionV1p4beta1BoundingPoly boundingBox;

  /// Confidence of the OCR results for the word. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the word.
  GoogleCloudVisionV1p4beta1TextAnnotationTextProperty property;

  /// List of symbols in the word. The order of the symbols follows the natural
  /// reading order.
  core.List<GoogleCloudVisionV1p4beta1Symbol> symbols;

  GoogleCloudVisionV1p4beta1Word();

  GoogleCloudVisionV1p4beta1Word.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox =
          GoogleCloudVisionV1p4beta1BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = GoogleCloudVisionV1p4beta1TextAnnotationTextProperty.fromJson(
          _json['property']);
    }
    if (_json.containsKey('symbols')) {
      symbols = (_json['symbols'] as core.List)
          .map<GoogleCloudVisionV1p4beta1Symbol>(
              (value) => GoogleCloudVisionV1p4beta1Symbol.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (symbols != null) {
      _json['symbols'] = symbols.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Information about the products similar to a single product in a query image.
class GroupedResult {
  /// The bounding polygon around the product detected in the query image.
  BoundingPoly boundingPoly;

  /// List of generic predictions for the object in the bounding box.
  core.List<ObjectAnnotation> objectAnnotations;

  /// List of results, one for each product match.
  core.List<Result> results;

  GroupedResult();

  GroupedResult.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = BoundingPoly.fromJson(_json['boundingPoly']);
    }
    if (_json.containsKey('objectAnnotations')) {
      objectAnnotations = (_json['objectAnnotations'] as core.List)
          .map<ObjectAnnotation>((value) => ObjectAnnotation.fromJson(value))
          .toList();
    }
    if (_json.containsKey('results')) {
      results = (_json['results'] as core.List)
          .map<Result>((value) => Result.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (objectAnnotations != null) {
      _json['objectAnnotations'] =
          objectAnnotations.map((value) => value.toJson()).toList();
    }
    if (results != null) {
      _json['results'] = results.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Client image to perform Google Cloud Vision API tasks over.
class Image {
  /// Image content, represented as a stream of bytes. Note: As with all `bytes`
  /// fields, protobuffers use a pure binary representation, whereas JSON
  /// representations use base64. Currently, this field only works for
  /// BatchAnnotateImages requests. It does not work for
  /// AsyncBatchAnnotateImages requests.
  core.String content;
  core.List<core.int> get contentAsBytes => convert.base64.decode(content);

  set contentAsBytes(core.List<core.int> _bytes) {
    content =
        convert.base64.encode(_bytes).replaceAll('/', '_').replaceAll('+', '-');
  }

  /// Google Cloud Storage image location, or publicly-accessible image URL. If
  /// both `content` and `source` are provided for an image, `content` takes
  /// precedence and is used to perform the image annotation request.
  ImageSource source;

  Image();

  Image.fromJson(core.Map _json) {
    if (_json.containsKey('content')) {
      content = _json['content'] as core.String;
    }
    if (_json.containsKey('source')) {
      source = ImageSource.fromJson(_json['source']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (content != null) {
      _json['content'] = content;
    }
    if (source != null) {
      _json['source'] = source.toJson();
    }
    return _json;
  }
}

/// If an image was produced from a file (e.g. a PDF), this message gives
/// information about the source of that image.
class ImageAnnotationContext {
  /// If the file was a PDF or TIFF, this field gives the page number within the
  /// file used to produce the image.
  core.int pageNumber;

  /// The URI of the file used to produce the image.
  core.String uri;

  ImageAnnotationContext();

  ImageAnnotationContext.fromJson(core.Map _json) {
    if (_json.containsKey('pageNumber')) {
      pageNumber = _json['pageNumber'] as core.int;
    }
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pageNumber != null) {
      _json['pageNumber'] = pageNumber;
    }
    if (uri != null) {
      _json['uri'] = uri;
    }
    return _json;
  }
}

/// Image context and/or feature-specific parameters.
class ImageContext {
  /// Parameters for crop hints annotation request.
  CropHintsParams cropHintsParams;

  /// List of languages to use for TEXT_DETECTION. In most cases, an empty value
  /// yields the best results since it enables automatic language detection. For
  /// languages based on the Latin alphabet, setting `language_hints` is not
  /// needed. In rare cases, when the language of the text in the image is
  /// known, setting a hint will help get better results (although it will be a
  /// significant hindrance if the hint is wrong). Text detection returns an
  /// error if one or more of the specified languages is not one of the
  /// [supported languages](https://cloud.google.com/vision/docs/languages).
  core.List<core.String> languageHints;

  /// Not used.
  LatLongRect latLongRect;

  /// Parameters for product search.
  ProductSearchParams productSearchParams;

  /// Parameters for web detection.
  WebDetectionParams webDetectionParams;

  ImageContext();

  ImageContext.fromJson(core.Map _json) {
    if (_json.containsKey('cropHintsParams')) {
      cropHintsParams = CropHintsParams.fromJson(_json['cropHintsParams']);
    }
    if (_json.containsKey('languageHints')) {
      languageHints = (_json['languageHints'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('latLongRect')) {
      latLongRect = LatLongRect.fromJson(_json['latLongRect']);
    }
    if (_json.containsKey('productSearchParams')) {
      productSearchParams =
          ProductSearchParams.fromJson(_json['productSearchParams']);
    }
    if (_json.containsKey('webDetectionParams')) {
      webDetectionParams =
          WebDetectionParams.fromJson(_json['webDetectionParams']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (cropHintsParams != null) {
      _json['cropHintsParams'] = cropHintsParams.toJson();
    }
    if (languageHints != null) {
      _json['languageHints'] = languageHints;
    }
    if (latLongRect != null) {
      _json['latLongRect'] = latLongRect.toJson();
    }
    if (productSearchParams != null) {
      _json['productSearchParams'] = productSearchParams.toJson();
    }
    if (webDetectionParams != null) {
      _json['webDetectionParams'] = webDetectionParams.toJson();
    }
    return _json;
  }
}

/// Stores image properties, such as dominant colors.
class ImageProperties {
  /// If present, dominant colors completed successfully.
  DominantColorsAnnotation dominantColors;

  ImageProperties();

  ImageProperties.fromJson(core.Map _json) {
    if (_json.containsKey('dominantColors')) {
      dominantColors =
          DominantColorsAnnotation.fromJson(_json['dominantColors']);
    }
  }

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

/// External image source (Google Cloud Storage or web URL image location).
class ImageSource {
  /// **Use `image_uri` instead.** The Google Cloud Storage URI of the form
  /// `gs://bucket_name/object_name`. Object versioning is not supported. See
  /// [Google Cloud Storage Request
  /// URIs](https://cloud.google.com/storage/docs/reference-uris) for more info.
  core.String gcsImageUri;

  /// The URI of the source image. Can be either: 1. A Google Cloud Storage URI
  /// of the form `gs://bucket_name/object_name`. Object versioning is not
  /// supported. See [Google Cloud Storage Request
  /// URIs](https://cloud.google.com/storage/docs/reference-uris) for more info.
  /// 2. A publicly-accessible image HTTP/HTTPS URL. When fetching images from
  /// HTTP/HTTPS URLs, Google cannot guarantee that the request will be
  /// completed. Your request may fail if the specified host denies the request
  /// (e.g. due to request throttling or DOS prevention), or if Google throttles
  /// requests to the site for abuse prevention. You should not depend on
  /// externally-hosted images for production applications. When both
  /// `gcs_image_uri` and `image_uri` are specified, `image_uri` takes
  /// precedence.
  core.String imageUri;

  ImageSource();

  ImageSource.fromJson(core.Map _json) {
    if (_json.containsKey('gcsImageUri')) {
      gcsImageUri = _json['gcsImageUri'] as core.String;
    }
    if (_json.containsKey('imageUri')) {
      imageUri = _json['imageUri'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (gcsImageUri != null) {
      _json['gcsImageUri'] = gcsImageUri;
    }
    if (imageUri != null) {
      _json['imageUri'] = imageUri;
    }
    return _json;
  }
}

/// The Google Cloud Storage location for a csv file which preserves a list of
/// ImportProductSetRequests in each line.
class ImportProductSetsGcsSource {
  /// The Google Cloud Storage URI of the input csv file. The URI must start
  /// with `gs://`. The format of the input csv file should be one image per
  /// line. In each line, there are 8 columns. 1. image-uri 2. image-id 3.
  /// product-set-id 4. product-id 5. product-category 6. product-display-name
  /// 7. labels 8. bounding-poly The `image-uri`, `product-set-id`,
  /// `product-id`, and `product-category` columns are required. All other
  /// columns are optional. If the `ProductSet` or `Product` specified by the
  /// `product-set-id` and `product-id` values does not exist, then the system
  /// will create a new `ProductSet` or `Product` for the image. In this case,
  /// the `product-display-name` column refers to display_name, the
  /// `product-category` column refers to product_category, and the `labels`
  /// column refers to product_labels. The `image-id` column is optional but
  /// must be unique if provided. If it is empty, the system will automatically
  /// assign a unique id to the image. The `product-display-name` column is
  /// optional. If it is empty, the system sets the display_name field for the
  /// product to a space (" "). You can update the `display_name` later by using
  /// the API. If a `Product` with the specified `product-id` already exists,
  /// then the system ignores the `product-display-name`, `product-category`,
  /// and `labels` columns. The `labels` column (optional) is a line containing
  /// a list of comma-separated key-value pairs, in the following format:
  /// "key_1=value_1,key_2=value_2,...,key_n=value_n" The `bounding-poly` column
  /// (optional) identifies one region of interest from the image in the same
  /// manner as `CreateReferenceImage`. If you do not specify the
  /// `bounding-poly` column, then the system will try to detect regions of
  /// interest automatically. At most one `bounding-poly` column is allowed per
  /// line. If the image contains multiple regions of interest, add a line to
  /// the CSV file that includes the same product information, and the
  /// `bounding-poly` values for each region of interest. The `bounding-poly`
  /// column must contain an even number of comma-separated numbers, in the
  /// format "p1_x,p1_y,p2_x,p2_y,...,pn_x,pn_y". Use non-negative integers for
  /// absolute bounding polygons, and float values in [0, 1] for normalized
  /// bounding polygons. The system will resize the image if the image
  /// resolution is too large to process (larger than 20MP).
  core.String csvFileUri;

  ImportProductSetsGcsSource();

  ImportProductSetsGcsSource.fromJson(core.Map _json) {
    if (_json.containsKey('csvFileUri')) {
      csvFileUri = _json['csvFileUri'] as core.String;
    }
  }

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

/// The input content for the `ImportProductSets` method.
class ImportProductSetsInputConfig {
  /// The Google Cloud Storage location for a csv file which preserves a list of
  /// ImportProductSetRequests in each line.
  ImportProductSetsGcsSource gcsSource;

  ImportProductSetsInputConfig();

  ImportProductSetsInputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('gcsSource')) {
      gcsSource = ImportProductSetsGcsSource.fromJson(_json['gcsSource']);
    }
  }

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

/// Request message for the `ImportProductSets` method.
class ImportProductSetsRequest {
  /// Required. The input content for the list of requests.
  ImportProductSetsInputConfig inputConfig;

  ImportProductSetsRequest();

  ImportProductSetsRequest.fromJson(core.Map _json) {
    if (_json.containsKey('inputConfig')) {
      inputConfig = ImportProductSetsInputConfig.fromJson(_json['inputConfig']);
    }
  }

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

/// Response message for the `ImportProductSets` method. This message is
/// returned by the google.longrunning.Operations.GetOperation method in the
/// returned google.longrunning.Operation.response field.
class ImportProductSetsResponse {
  /// The list of reference_images that are imported successfully.
  core.List<ReferenceImage> referenceImages;

  /// The rpc status for each ImportProductSet request, including both successes
  /// and errors. The number of statuses here matches the number of lines in the
  /// csv file, and statuses[i] stores the success or failure status of
  /// processing the i-th line of the csv, starting from line 0.
  core.List<Status> statuses;

  ImportProductSetsResponse();

  ImportProductSetsResponse.fromJson(core.Map _json) {
    if (_json.containsKey('referenceImages')) {
      referenceImages = (_json['referenceImages'] as core.List)
          .map<ReferenceImage>((value) => ReferenceImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('statuses')) {
      statuses = (_json['statuses'] as core.List)
          .map<Status>((value) => Status.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (referenceImages != null) {
      _json['referenceImages'] =
          referenceImages.map((value) => value.toJson()).toList();
    }
    if (statuses != null) {
      _json['statuses'] = statuses.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// The desired input location and metadata.
class InputConfig {
  /// File content, represented as a stream of bytes. Note: As with all `bytes`
  /// fields, protobuffers use a pure binary representation, whereas JSON
  /// representations use base64. Currently, this field only works for
  /// BatchAnnotateFiles requests. It does not work for AsyncBatchAnnotateFiles
  /// requests.
  core.String content;
  core.List<core.int> get contentAsBytes => convert.base64.decode(content);

  set contentAsBytes(core.List<core.int> _bytes) {
    content =
        convert.base64.encode(_bytes).replaceAll('/', '_').replaceAll('+', '-');
  }

  /// The Google Cloud Storage location to read the input from.
  GcsSource gcsSource;

  /// The type of the file. Currently only "application/pdf", "image/tiff" and
  /// "image/gif" are supported. Wildcards are not supported.
  core.String mimeType;

  InputConfig();

  InputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('content')) {
      content = _json['content'] as core.String;
    }
    if (_json.containsKey('gcsSource')) {
      gcsSource = GcsSource.fromJson(_json['gcsSource']);
    }
    if (_json.containsKey('mimeType')) {
      mimeType = _json['mimeType'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (content != null) {
      _json['content'] = content;
    }
    if (gcsSource != null) {
      _json['gcsSource'] = gcsSource.toJson();
    }
    if (mimeType != null) {
      _json['mimeType'] = mimeType;
    }
    return _json;
  }
}

/// A product label represented as a key-value pair.
class KeyValue {
  /// The key of the label attached to the product. Cannot be empty and cannot
  /// exceed 128 bytes.
  core.String key;

  /// The value of the label attached to the product. Cannot be empty and cannot
  /// exceed 128 bytes.
  core.String value;

  KeyValue();

  KeyValue.fromJson(core.Map _json) {
    if (_json.containsKey('key')) {
      key = _json['key'] as core.String;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (key != null) {
      _json['key'] = key;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// A face-specific landmark (for example, a face feature).
class Landmark {
  /// Face landmark position.
  Position position;

  /// Face landmark type.
  /// Possible string values are:
  /// - "UNKNOWN_LANDMARK" : Unknown face landmark detected. Should not be
  /// filled.
  /// - "LEFT_EYE" : Left eye.
  /// - "RIGHT_EYE" : Right eye.
  /// - "LEFT_OF_LEFT_EYEBROW" : Left of left eyebrow.
  /// - "RIGHT_OF_LEFT_EYEBROW" : Right of left eyebrow.
  /// - "LEFT_OF_RIGHT_EYEBROW" : Left of right eyebrow.
  /// - "RIGHT_OF_RIGHT_EYEBROW" : Right of right eyebrow.
  /// - "MIDPOINT_BETWEEN_EYES" : Midpoint between eyes.
  /// - "NOSE_TIP" : Nose tip.
  /// - "UPPER_LIP" : Upper lip.
  /// - "LOWER_LIP" : Lower lip.
  /// - "MOUTH_LEFT" : Mouth left.
  /// - "MOUTH_RIGHT" : Mouth right.
  /// - "MOUTH_CENTER" : Mouth center.
  /// - "NOSE_BOTTOM_RIGHT" : Nose, bottom right.
  /// - "NOSE_BOTTOM_LEFT" : Nose, bottom left.
  /// - "NOSE_BOTTOM_CENTER" : Nose, bottom center.
  /// - "LEFT_EYE_TOP_BOUNDARY" : Left eye, top boundary.
  /// - "LEFT_EYE_RIGHT_CORNER" : Left eye, right corner.
  /// - "LEFT_EYE_BOTTOM_BOUNDARY" : Left eye, bottom boundary.
  /// - "LEFT_EYE_LEFT_CORNER" : Left eye, left corner.
  /// - "RIGHT_EYE_TOP_BOUNDARY" : Right eye, top boundary.
  /// - "RIGHT_EYE_RIGHT_CORNER" : Right eye, right corner.
  /// - "RIGHT_EYE_BOTTOM_BOUNDARY" : Right eye, bottom boundary.
  /// - "RIGHT_EYE_LEFT_CORNER" : Right eye, left corner.
  /// - "LEFT_EYEBROW_UPPER_MIDPOINT" : Left eyebrow, upper midpoint.
  /// - "RIGHT_EYEBROW_UPPER_MIDPOINT" : Right eyebrow, upper midpoint.
  /// - "LEFT_EAR_TRAGION" : Left ear tragion.
  /// - "RIGHT_EAR_TRAGION" : Right ear tragion.
  /// - "LEFT_EYE_PUPIL" : Left eye pupil.
  /// - "RIGHT_EYE_PUPIL" : Right eye pupil.
  /// - "FOREHEAD_GLABELLA" : Forehead glabella.
  /// - "CHIN_GNATHION" : Chin gnathion.
  /// - "CHIN_LEFT_GONION" : Chin left gonion.
  /// - "CHIN_RIGHT_GONION" : Chin right gonion.
  /// - "LEFT_CHEEK_CENTER" : Left cheek center.
  /// - "RIGHT_CHEEK_CENTER" : Right cheek center.
  core.String type;

  Landmark();

  Landmark.fromJson(core.Map _json) {
    if (_json.containsKey('position')) {
      position = Position.fromJson(_json['position']);
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

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

/// An object representing a latitude/longitude pair. This is expressed as a
/// pair of doubles representing degrees latitude and degrees longitude. Unless
/// specified otherwise, this must conform to the WGS84 standard. Values must be
/// within normalized ranges.
class LatLng {
  /// The latitude in degrees. It must be in the range [-90.0, +90.0].
  core.double latitude;

  /// The longitude in degrees. It must be in the range [-180.0, +180.0].
  core.double longitude;

  LatLng();

  LatLng.fromJson(core.Map _json) {
    if (_json.containsKey('latitude')) {
      latitude = (_json['latitude'] as core.num).toDouble();
    }
    if (_json.containsKey('longitude')) {
      longitude = (_json['longitude'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (latitude != null) {
      _json['latitude'] = latitude;
    }
    if (longitude != null) {
      _json['longitude'] = longitude;
    }
    return _json;
  }
}

/// Rectangle determined by min and max `LatLng` pairs.
class LatLongRect {
  /// Max lat/long pair.
  LatLng maxLatLng;

  /// Min lat/long pair.
  LatLng minLatLng;

  LatLongRect();

  LatLongRect.fromJson(core.Map _json) {
    if (_json.containsKey('maxLatLng')) {
      maxLatLng = LatLng.fromJson(_json['maxLatLng']);
    }
    if (_json.containsKey('minLatLng')) {
      minLatLng = LatLng.fromJson(_json['minLatLng']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (maxLatLng != null) {
      _json['maxLatLng'] = maxLatLng.toJson();
    }
    if (minLatLng != null) {
      _json['minLatLng'] = minLatLng.toJson();
    }
    return _json;
  }
}

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

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

  ListOperationsResponse();

  ListOperationsResponse.fromJson(core.Map _json) {
    if (_json.containsKey('nextPageToken')) {
      nextPageToken = _json['nextPageToken'] as core.String;
    }
    if (_json.containsKey('operations')) {
      operations = (_json['operations'] as core.List)
          .map<Operation>((value) => Operation.fromJson(value))
          .toList();
    }
  }

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

/// Response message for the `ListProductSets` method.
class ListProductSetsResponse {
  /// Token to retrieve the next page of results, or empty if there are no more
  /// results in the list.
  core.String nextPageToken;

  /// List of ProductSets.
  core.List<ProductSet> productSets;

  ListProductSetsResponse();

  ListProductSetsResponse.fromJson(core.Map _json) {
    if (_json.containsKey('nextPageToken')) {
      nextPageToken = _json['nextPageToken'] as core.String;
    }
    if (_json.containsKey('productSets')) {
      productSets = (_json['productSets'] as core.List)
          .map<ProductSet>((value) => ProductSet.fromJson(value))
          .toList();
    }
  }

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

/// Response message for the `ListProductsInProductSet` method.
class ListProductsInProductSetResponse {
  /// Token to retrieve the next page of results, or empty if there are no more
  /// results in the list.
  core.String nextPageToken;

  /// The list of Products.
  core.List<Product> products;

  ListProductsInProductSetResponse();

  ListProductsInProductSetResponse.fromJson(core.Map _json) {
    if (_json.containsKey('nextPageToken')) {
      nextPageToken = _json['nextPageToken'] as core.String;
    }
    if (_json.containsKey('products')) {
      products = (_json['products'] as core.List)
          .map<Product>((value) => Product.fromJson(value))
          .toList();
    }
  }

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

/// Response message for the `ListProducts` method.
class ListProductsResponse {
  /// Token to retrieve the next page of results, or empty if there are no more
  /// results in the list.
  core.String nextPageToken;

  /// List of products.
  core.List<Product> products;

  ListProductsResponse();

  ListProductsResponse.fromJson(core.Map _json) {
    if (_json.containsKey('nextPageToken')) {
      nextPageToken = _json['nextPageToken'] as core.String;
    }
    if (_json.containsKey('products')) {
      products = (_json['products'] as core.List)
          .map<Product>((value) => Product.fromJson(value))
          .toList();
    }
  }

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

/// Response message for the `ListReferenceImages` method.
class ListReferenceImagesResponse {
  /// The next_page_token returned from a previous List request, if any.
  core.String nextPageToken;

  /// The maximum number of items to return. Default 10, maximum 100.
  core.int pageSize;

  /// The list of reference images.
  core.List<ReferenceImage> referenceImages;

  ListReferenceImagesResponse();

  ListReferenceImagesResponse.fromJson(core.Map _json) {
    if (_json.containsKey('nextPageToken')) {
      nextPageToken = _json['nextPageToken'] as core.String;
    }
    if (_json.containsKey('pageSize')) {
      pageSize = _json['pageSize'] as core.int;
    }
    if (_json.containsKey('referenceImages')) {
      referenceImages = (_json['referenceImages'] as core.List)
          .map<ReferenceImage>((value) => ReferenceImage.fromJson(value))
          .toList();
    }
  }

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

/// Set of detected objects with bounding boxes.
class LocalizedObjectAnnotation {
  /// Image region to which this object belongs. This must be populated.
  BoundingPoly boundingPoly;

  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  /// Object ID that should align with EntityAnnotation mid.
  core.String mid;

  /// Object name, expressed in its `language_code` language.
  core.String name;

  /// Score of the result. Range [0, 1].
  core.double score;

  LocalizedObjectAnnotation();

  LocalizedObjectAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = BoundingPoly.fromJson(_json['boundingPoly']);
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Detected entity location information.
class LocationInfo {
  /// lat/long location coordinates.
  LatLng latLng;

  LocationInfo();

  LocationInfo.fromJson(core.Map _json) {
    if (_json.containsKey('latLng')) {
      latLng = LatLng.fromJson(_json['latLng']);
    }
  }

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

/// A vertex represents a 2D point in the image. NOTE: the normalized vertex
/// coordinates are relative to the original image and range from 0 to 1.
class NormalizedVertex {
  /// X coordinate.
  core.double x;

  /// Y coordinate.
  core.double y;

  NormalizedVertex();

  NormalizedVertex.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = (_json['x'] as core.num).toDouble();
    }
    if (_json.containsKey('y')) {
      y = (_json['y'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    return _json;
  }
}

/// Prediction for what the object in the bounding box is.
class ObjectAnnotation {
  /// The BCP-47 language code, such as "en-US" or "sr-Latn". For more
  /// information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  /// Object ID that should align with EntityAnnotation mid.
  core.String mid;

  /// Object name, expressed in its `language_code` language.
  core.String name;

  /// Score of the result. Range [0, 1].
  core.double score;

  ObjectAnnotation();

  ObjectAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
    if (_json.containsKey('mid')) {
      mid = _json['mid'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    if (mid != null) {
      _json['mid'] = mid;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// This resource represents a long-running operation that is the result of a
/// network API call.
class Operation {
  /// 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.
  Status 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 be a resource name ending with `operations/{unique_id}`.
  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;

  Operation();

  Operation.fromJson(core.Map _json) {
    if (_json.containsKey('done')) {
      done = _json['done'] as core.bool;
    }
    if (_json.containsKey('error')) {
      error = Status.fromJson(_json['error']);
    }
    if (_json.containsKey('metadata')) {
      metadata = commons.mapMap<core.Object, core.Object>(
          _json['metadata'].cast<core.String, core.Object>(),
          (core.Object item) => item as core.Object);
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('response')) {
      response = commons.mapMap<core.Object, core.Object>(
          _json['response'].cast<core.String, core.Object>(),
          (core.Object item) => item as core.Object);
    }
  }

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

/// Contains metadata for the BatchAnnotateImages operation.
class OperationMetadata {
  /// The time when the batch request was received.
  core.String createTime;

  /// Current state of the batch operation.
  /// Possible string values are:
  /// - "STATE_UNSPECIFIED" : Invalid.
  /// - "CREATED" : Request is received.
  /// - "RUNNING" : Request is actively being processed.
  /// - "DONE" : The batch processing is done.
  /// - "CANCELLED" : The batch processing was cancelled.
  core.String state;

  /// The time when the operation result was last updated.
  core.String updateTime;

  OperationMetadata();

  OperationMetadata.fromJson(core.Map _json) {
    if (_json.containsKey('createTime')) {
      createTime = _json['createTime'] as core.String;
    }
    if (_json.containsKey('state')) {
      state = _json['state'] as core.String;
    }
    if (_json.containsKey('updateTime')) {
      updateTime = _json['updateTime'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (createTime != null) {
      _json['createTime'] = createTime;
    }
    if (state != null) {
      _json['state'] = state;
    }
    if (updateTime != null) {
      _json['updateTime'] = updateTime;
    }
    return _json;
  }
}

/// The desired output location and metadata.
class OutputConfig {
  /// The max number of response protos to put into each output JSON file on
  /// Google Cloud Storage. The valid range is [1, 100]. If not specified, the
  /// default value is 20. For example, for one pdf file with 100 pages, 100
  /// response protos will be generated. If `batch_size` = 20, then 5 json files
  /// each containing 20 response protos will be written under the prefix
  /// `gcs_destination`.`uri`. Currently, batch_size only applies to
  /// GcsDestination, with potential future support for other output
  /// configurations.
  core.int batchSize;

  /// The Google Cloud Storage location to write the output(s) to.
  GcsDestination gcsDestination;

  OutputConfig();

  OutputConfig.fromJson(core.Map _json) {
    if (_json.containsKey('batchSize')) {
      batchSize = _json['batchSize'] as core.int;
    }
    if (_json.containsKey('gcsDestination')) {
      gcsDestination = GcsDestination.fromJson(_json['gcsDestination']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (batchSize != null) {
      _json['batchSize'] = batchSize;
    }
    if (gcsDestination != null) {
      _json['gcsDestination'] = gcsDestination.toJson();
    }
    return _json;
  }
}

/// Detected page from OCR.
class Page {
  /// List of blocks of text, images etc on this page.
  core.List<Block> blocks;

  /// Confidence of the OCR results on the page. Range [0, 1].
  core.double confidence;

  /// Page height. For PDFs the unit is points. For images (including TIFFs) the
  /// unit is pixels.
  core.int height;

  /// Additional information detected on the page.
  TextProperty property;

  /// Page width. For PDFs the unit is points. For images (including TIFFs) the
  /// unit is pixels.
  core.int width;

  Page();

  Page.fromJson(core.Map _json) {
    if (_json.containsKey('blocks')) {
      blocks = (_json['blocks'] as core.List)
          .map<Block>((value) => Block.fromJson(value))
          .toList();
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('height')) {
      height = _json['height'] as core.int;
    }
    if (_json.containsKey('property')) {
      property = TextProperty.fromJson(_json['property']);
    }
    if (_json.containsKey('width')) {
      width = _json['width'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (blocks != null) {
      _json['blocks'] = blocks.map((value) => value.toJson()).toList();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (height != null) {
      _json['height'] = height;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (width != null) {
      _json['width'] = width;
    }
    return _json;
  }
}

/// Structural unit of text representing a number of words in certain order.
class Paragraph {
  /// The bounding box for the paragraph. The vertices are in the order of
  /// top-left, top-right, bottom-right, bottom-left. When a rotation of the
  /// bounding box is detected the rotation is represented as around the
  /// top-left corner as defined when the text is read in the 'natural'
  /// orientation. For example: * when the text is horizontal it might look
  /// like: 0----1 | | 3----2 * when it's rotated 180 degrees around the
  /// top-left corner it becomes: 2----3 | | 1----0 and the vertex order will
  /// still be (0, 1, 2, 3).
  BoundingPoly boundingBox;

  /// Confidence of the OCR results for the paragraph. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the paragraph.
  TextProperty property;

  /// List of all words in this paragraph.
  core.List<Word> words;

  Paragraph();

  Paragraph.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox = BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = TextProperty.fromJson(_json['property']);
    }
    if (_json.containsKey('words')) {
      words = (_json['words'] as core.List)
          .map<Word>((value) => Word.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (words != null) {
      _json['words'] = words.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A 3D position in the image, used primarily for Face detection landmarks. A
/// valid Position must have both x and y coordinates. The position coordinates
/// are in the same scale as the original image.
class Position {
  /// X coordinate.
  core.double x;

  /// Y coordinate.
  core.double y;

  /// Z coordinate (or depth).
  core.double z;

  Position();

  Position.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = (_json['x'] as core.num).toDouble();
    }
    if (_json.containsKey('y')) {
      y = (_json['y'] as core.num).toDouble();
    }
    if (_json.containsKey('z')) {
      z = (_json['z'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    if (z != null) {
      _json['z'] = z;
    }
    return _json;
  }
}

/// A Product contains ReferenceImages.
class Product {
  /// User-provided metadata to be stored with this product. Must be at most
  /// 4096 characters long.
  core.String description;

  /// The user-provided name for this Product. Must not be empty. Must be at
  /// most 4096 characters long.
  core.String displayName;

  /// The resource name of the product. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`. This field is
  /// ignored when creating a product.
  core.String name;

  /// Immutable. The category for the product identified by the reference image.
  /// This should be one of "homegoods-v2", "apparel-v2", "toys-v2",
  /// "packagedgoods-v1" or "general-v1". The legacy categories "homegoods",
  /// "apparel", and "toys" are still supported, but these should not be used
  /// for new products.
  core.String productCategory;

  /// Key-value pairs that can be attached to a product. At query time,
  /// constraints can be specified based on the product_labels. Note that
  /// integer values can be provided as strings, e.g. "1199". Only strings with
  /// integer values can match a range-based restriction which is to be
  /// supported soon. Multiple values can be assigned to the same key. One
  /// product may have up to 500 product_labels. Notice that the total number of
  /// distinct product_labels over all products in one ProductSet cannot exceed
  /// 1M, otherwise the product search pipeline will refuse to work for that
  /// ProductSet.
  core.List<KeyValue> productLabels;

  Product();

  Product.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('displayName')) {
      displayName = _json['displayName'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('productCategory')) {
      productCategory = _json['productCategory'] as core.String;
    }
    if (_json.containsKey('productLabels')) {
      productLabels = (_json['productLabels'] as core.List)
          .map<KeyValue>((value) => KeyValue.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (displayName != null) {
      _json['displayName'] = displayName;
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (productCategory != null) {
      _json['productCategory'] = productCategory;
    }
    if (productLabels != null) {
      _json['productLabels'] =
          productLabels.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Parameters for a product search request.
class ProductSearchParams {
  /// The bounding polygon around the area of interest in the image. If it is
  /// not specified, system discretion will be applied.
  BoundingPoly boundingPoly;

  /// The filtering expression. This can be used to restrict search results
  /// based on Product labels. We currently support an AND of OR of key-value
  /// expressions, where each expression within an OR must have the same key. An
  /// '=' should be used to connect the key and value. For example, "(color =
  /// red OR color = blue) AND brand = Google" is acceptable, but "(color = red
  /// OR brand = Google)" is not acceptable. "color: red" is not acceptable
  /// because it uses a ':' instead of an '='.
  core.String filter;

  /// The list of product categories to search in. Currently, we only consider
  /// the first category, and either "homegoods-v2", "apparel-v2", "toys-v2",
  /// "packagedgoods-v1", or "general-v1" should be specified. The legacy
  /// categories "homegoods", "apparel", and "toys" are still supported but will
  /// be deprecated. For new products, please use "homegoods-v2", "apparel-v2",
  /// or "toys-v2" for better product search accuracy. It is recommended to
  /// migrate existing products to these categories as well.
  core.List<core.String> productCategories;

  /// The resource name of a ProductSet to be searched for similar images.
  /// Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`.
  core.String productSet;

  ProductSearchParams();

  ProductSearchParams.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPoly')) {
      boundingPoly = BoundingPoly.fromJson(_json['boundingPoly']);
    }
    if (_json.containsKey('filter')) {
      filter = _json['filter'] as core.String;
    }
    if (_json.containsKey('productCategories')) {
      productCategories = (_json['productCategories'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('productSet')) {
      productSet = _json['productSet'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingPoly != null) {
      _json['boundingPoly'] = boundingPoly.toJson();
    }
    if (filter != null) {
      _json['filter'] = filter;
    }
    if (productCategories != null) {
      _json['productCategories'] = productCategories;
    }
    if (productSet != null) {
      _json['productSet'] = productSet;
    }
    return _json;
  }
}

/// Results for a product search request.
class ProductSearchResults {
  /// Timestamp of the index which provided these results. Products added to the
  /// product set and products removed from the product set after this time are
  /// not reflected in the current results.
  core.String indexTime;

  /// List of results grouped by products detected in the query image. Each
  /// entry corresponds to one bounding polygon in the query image, and contains
  /// the matching products specific to that region. There may be duplicate
  /// product matches in the union of all the per-product results.
  core.List<GroupedResult> productGroupedResults;

  /// List of results, one for each product match.
  core.List<Result> results;

  ProductSearchResults();

  ProductSearchResults.fromJson(core.Map _json) {
    if (_json.containsKey('indexTime')) {
      indexTime = _json['indexTime'] as core.String;
    }
    if (_json.containsKey('productGroupedResults')) {
      productGroupedResults = (_json['productGroupedResults'] as core.List)
          .map<GroupedResult>((value) => GroupedResult.fromJson(value))
          .toList();
    }
    if (_json.containsKey('results')) {
      results = (_json['results'] as core.List)
          .map<Result>((value) => Result.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (indexTime != null) {
      _json['indexTime'] = indexTime;
    }
    if (productGroupedResults != null) {
      _json['productGroupedResults'] =
          productGroupedResults.map((value) => value.toJson()).toList();
    }
    if (results != null) {
      _json['results'] = results.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A ProductSet contains Products. A ProductSet can contain a maximum of 1
/// million reference images. If the limit is exceeded, periodic indexing will
/// fail.
class ProductSet {
  /// The user-provided name for this ProductSet. Must not be empty. Must be at
  /// most 4096 characters long.
  core.String displayName;

  /// Output only. If there was an error with indexing the product set, the
  /// field is populated. This field is ignored when creating a ProductSet.
  Status indexError;

  /// Output only. The time at which this ProductSet was last indexed. Query
  /// results will reflect all updates before this time. If this ProductSet has
  /// never been indexed, this timestamp is the default value
  /// "1970-01-01T00:00:00Z". This field is ignored when creating a ProductSet.
  core.String indexTime;

  /// The resource name of the ProductSet. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/productSets/PRODUCT_SET_ID`. This
  /// field is ignored when creating a ProductSet.
  core.String name;

  ProductSet();

  ProductSet.fromJson(core.Map _json) {
    if (_json.containsKey('displayName')) {
      displayName = _json['displayName'] as core.String;
    }
    if (_json.containsKey('indexError')) {
      indexError = Status.fromJson(_json['indexError']);
    }
    if (_json.containsKey('indexTime')) {
      indexTime = _json['indexTime'] as core.String;
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (displayName != null) {
      _json['displayName'] = displayName;
    }
    if (indexError != null) {
      _json['indexError'] = indexError.toJson();
    }
    if (indexTime != null) {
      _json['indexTime'] = indexTime;
    }
    if (name != null) {
      _json['name'] = name;
    }
    return _json;
  }
}

/// Config to control which ProductSet contains the Products to be deleted.
class ProductSetPurgeConfig {
  /// The ProductSet that contains the Products to delete. If a Product is a
  /// member of product_set_id in addition to other ProductSets, the Product
  /// will still be deleted.
  core.String productSetId;

  ProductSetPurgeConfig();

  ProductSetPurgeConfig.fromJson(core.Map _json) {
    if (_json.containsKey('productSetId')) {
      productSetId = _json['productSetId'] as core.String;
    }
  }

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

/// A `Property` consists of a user-supplied name/value pair.
class Property {
  /// Name of the property.
  core.String name;

  /// Value of numeric properties.
  core.String uint64Value;

  /// Value of the property.
  core.String value;

  Property();

  Property.fromJson(core.Map _json) {
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('uint64Value')) {
      uint64Value = _json['uint64Value'] as core.String;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (name != null) {
      _json['name'] = name;
    }
    if (uint64Value != null) {
      _json['uint64Value'] = uint64Value;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// Request message for the `PurgeProducts` method.
class PurgeProductsRequest {
  /// If delete_orphan_products is true, all Products that are not in any
  /// ProductSet will be deleted.
  core.bool deleteOrphanProducts;

  /// The default value is false. Override this value to true to actually
  /// perform the purge.
  core.bool force;

  /// Specify which ProductSet contains the Products to be deleted.
  ProductSetPurgeConfig productSetPurgeConfig;

  PurgeProductsRequest();

  PurgeProductsRequest.fromJson(core.Map _json) {
    if (_json.containsKey('deleteOrphanProducts')) {
      deleteOrphanProducts = _json['deleteOrphanProducts'] as core.bool;
    }
    if (_json.containsKey('force')) {
      force = _json['force'] as core.bool;
    }
    if (_json.containsKey('productSetPurgeConfig')) {
      productSetPurgeConfig =
          ProductSetPurgeConfig.fromJson(_json['productSetPurgeConfig']);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (deleteOrphanProducts != null) {
      _json['deleteOrphanProducts'] = deleteOrphanProducts;
    }
    if (force != null) {
      _json['force'] = force;
    }
    if (productSetPurgeConfig != null) {
      _json['productSetPurgeConfig'] = productSetPurgeConfig.toJson();
    }
    return _json;
  }
}

/// A `ReferenceImage` represents a product image and its associated metadata,
/// such as bounding boxes.
class ReferenceImage {
  /// Optional. Bounding polygons around the areas of interest in the reference
  /// image. If this field is empty, the system will try to detect regions of
  /// interest. At most 10 bounding polygons will be used. The provided shape is
  /// converted into a non-rotated rectangle. Once converted, the small edge of
  /// the rectangle must be greater than or equal to 300 pixels. The aspect
  /// ratio must be 1:4 or less (i.e. 1:3 is ok; 1:5 is not).
  core.List<BoundingPoly> boundingPolys;

  /// The resource name of the reference image. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID/referenceImages/IMAGE_ID`.
  /// This field is ignored when creating a reference image.
  core.String name;

  /// Required. The Google Cloud Storage URI of the reference image. The URI
  /// must start with `gs://`.
  core.String uri;

  ReferenceImage();

  ReferenceImage.fromJson(core.Map _json) {
    if (_json.containsKey('boundingPolys')) {
      boundingPolys = (_json['boundingPolys'] as core.List)
          .map<BoundingPoly>((value) => BoundingPoly.fromJson(value))
          .toList();
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('uri')) {
      uri = _json['uri'] as core.String;
    }
  }

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

/// Request message for the `RemoveProductFromProductSet` method.
class RemoveProductFromProductSetRequest {
  /// Required. The resource name for the Product to be removed from this
  /// ProductSet. Format is:
  /// `projects/PROJECT_ID/locations/LOC_ID/products/PRODUCT_ID`
  core.String product;

  RemoveProductFromProductSetRequest();

  RemoveProductFromProductSetRequest.fromJson(core.Map _json) {
    if (_json.containsKey('product')) {
      product = _json['product'] as core.String;
    }
  }

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

/// Information about a product.
class Result {
  /// The resource name of the image from the product that is the closest match
  /// to the query.
  core.String image;

  /// The Product.
  Product product;

  /// A confidence level on the match, ranging from 0 (no confidence) to 1 (full
  /// confidence).
  core.double score;

  Result();

  Result.fromJson(core.Map _json) {
    if (_json.containsKey('image')) {
      image = _json['image'] as core.String;
    }
    if (_json.containsKey('product')) {
      product = Product.fromJson(_json['product']);
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (image != null) {
      _json['image'] = image;
    }
    if (product != null) {
      _json['product'] = product.toJson();
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Set of features pertaining to the image, computed by computer vision methods
/// over safe-search verticals (for example, adult, spoof, medical, violence).
class SafeSearchAnnotation {
  /// Represents the adult content likelihood for the image. Adult content may
  /// contain elements such as nudity, pornographic images or cartoons, or
  /// sexual activities.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String adult;

  /// Likelihood that this is a medical image.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String medical;

  /// Likelihood that the request image contains racy content. Racy content may
  /// include (but is not limited to) skimpy or sheer clothing, strategically
  /// covered nudity, lewd or provocative poses, or close-ups of sensitive body
  /// areas.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String racy;

  /// Spoof likelihood. The likelihood that an modification was made to the
  /// image's canonical version to make it appear funny or offensive.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String spoof;

  /// Likelihood that this image contains violent content.
  /// Possible string values are:
  /// - "UNKNOWN" : Unknown likelihood.
  /// - "VERY_UNLIKELY" : It is very unlikely.
  /// - "UNLIKELY" : It is unlikely.
  /// - "POSSIBLE" : It is possible.
  /// - "LIKELY" : It is likely.
  /// - "VERY_LIKELY" : It is very likely.
  core.String violence;

  SafeSearchAnnotation();

  SafeSearchAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('adult')) {
      adult = _json['adult'] as core.String;
    }
    if (_json.containsKey('medical')) {
      medical = _json['medical'] as core.String;
    }
    if (_json.containsKey('racy')) {
      racy = _json['racy'] as core.String;
    }
    if (_json.containsKey('spoof')) {
      spoof = _json['spoof'] as core.String;
    }
    if (_json.containsKey('violence')) {
      violence = _json['violence'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (adult != null) {
      _json['adult'] = adult;
    }
    if (medical != null) {
      _json['medical'] = medical;
    }
    if (racy != null) {
      _json['racy'] = racy;
    }
    if (spoof != null) {
      _json['spoof'] = spoof;
    }
    if (violence != null) {
      _json['violence'] = violence;
    }
    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). Each `Status` message contains
/// three pieces of data: error code, error message, and error details. You can
/// find out more about this error model and how to work with it in the [API
/// Design Guide](https://cloud.google.com/apis/design/errors).
class Status {
  /// 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;

  Status();

  Status.fromJson(core.Map _json) {
    if (_json.containsKey('code')) {
      code = _json['code'] as core.int;
    }
    if (_json.containsKey('details')) {
      details = (_json['details'] as core.List)
          .map<core.Map<core.String, core.Object>>((value) =>
              commons.mapMap<core.Object, core.Object>(
                  value.cast<core.String, core.Object>(),
                  (core.Object item) => item as core.Object))
          .toList();
    }
    if (_json.containsKey('message')) {
      message = _json['message'] as core.String;
    }
  }

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

/// A single symbol representation.
class Symbol {
  /// The bounding box for the symbol. The vertices are in the order of
  /// top-left, top-right, bottom-right, bottom-left. When a rotation of the
  /// bounding box is detected the rotation is represented as around the
  /// top-left corner as defined when the text is read in the 'natural'
  /// orientation. For example: * when the text is horizontal it might look
  /// like: 0----1 | | 3----2 * when it's rotated 180 degrees around the
  /// top-left corner it becomes: 2----3 | | 1----0 and the vertex order will
  /// still be (0, 1, 2, 3).
  BoundingPoly boundingBox;

  /// Confidence of the OCR results for the symbol. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the symbol.
  TextProperty property;

  /// The actual UTF-8 representation of the symbol.
  core.String text;

  Symbol();

  Symbol.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox = BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = TextProperty.fromJson(_json['property']);
    }
    if (_json.containsKey('text')) {
      text = _json['text'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (text != null) {
      _json['text'] = text;
    }
    return _json;
  }
}

/// TextAnnotation contains a structured representation of OCR extracted text.
/// The hierarchy of an OCR extracted text structure is like this:
/// TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each
/// structural component, starting from Page, may further have their own
/// properties. Properties describe detected languages, breaks etc.. Please
/// refer to the TextAnnotation.TextProperty message definition below for more
/// detail.
class TextAnnotation {
  /// List of pages detected by OCR.
  core.List<Page> pages;

  /// UTF-8 text detected on the pages.
  core.String text;

  TextAnnotation();

  TextAnnotation.fromJson(core.Map _json) {
    if (_json.containsKey('pages')) {
      pages = (_json['pages'] as core.List)
          .map<Page>((value) => Page.fromJson(value))
          .toList();
    }
    if (_json.containsKey('text')) {
      text = _json['text'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pages != null) {
      _json['pages'] = pages.map((value) => value.toJson()).toList();
    }
    if (text != null) {
      _json['text'] = text;
    }
    return _json;
  }
}

/// Additional information detected on the structural component.
class TextProperty {
  /// Detected start or end of a text segment.
  DetectedBreak detectedBreak;

  /// A list of detected languages together with confidence.
  core.List<DetectedLanguage> detectedLanguages;

  TextProperty();

  TextProperty.fromJson(core.Map _json) {
    if (_json.containsKey('detectedBreak')) {
      detectedBreak = DetectedBreak.fromJson(_json['detectedBreak']);
    }
    if (_json.containsKey('detectedLanguages')) {
      detectedLanguages = (_json['detectedLanguages'] as core.List)
          .map<DetectedLanguage>((value) => DetectedLanguage.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (detectedBreak != null) {
      _json['detectedBreak'] = detectedBreak.toJson();
    }
    if (detectedLanguages != null) {
      _json['detectedLanguages'] =
          detectedLanguages.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A vertex represents a 2D point in the image. NOTE: the vertex coordinates
/// are in the same scale as the original image.
class Vertex {
  /// X coordinate.
  core.int x;

  /// Y coordinate.
  core.int y;

  Vertex();

  Vertex.fromJson(core.Map _json) {
    if (_json.containsKey('x')) {
      x = _json['x'] as core.int;
    }
    if (_json.containsKey('y')) {
      y = _json['y'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (x != null) {
      _json['x'] = x;
    }
    if (y != null) {
      _json['y'] = y;
    }
    return _json;
  }
}

/// Relevant information for the image from the Internet.
class WebDetection {
  /// The service's best guess as to the topic of the request image. Inferred
  /// from similar images on the open web.
  core.List<WebLabel> bestGuessLabels;

  /// Fully matching images from the Internet. Can include resized copies of the
  /// query image.
  core.List<WebImage> fullMatchingImages;

  /// Web pages containing the matching images from the Internet.
  core.List<WebPage> pagesWithMatchingImages;

  /// Partial matching images from the Internet. Those images are similar enough
  /// to share some key-point features. For example an original image will
  /// likely have partial matching for its crops.
  core.List<WebImage> partialMatchingImages;

  /// The visually similar image results.
  core.List<WebImage> visuallySimilarImages;

  /// Deduced entities from similar images on the Internet.
  core.List<WebEntity> webEntities;

  WebDetection();

  WebDetection.fromJson(core.Map _json) {
    if (_json.containsKey('bestGuessLabels')) {
      bestGuessLabels = (_json['bestGuessLabels'] as core.List)
          .map<WebLabel>((value) => WebLabel.fromJson(value))
          .toList();
    }
    if (_json.containsKey('fullMatchingImages')) {
      fullMatchingImages = (_json['fullMatchingImages'] as core.List)
          .map<WebImage>((value) => WebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('pagesWithMatchingImages')) {
      pagesWithMatchingImages = (_json['pagesWithMatchingImages'] as core.List)
          .map<WebPage>((value) => WebPage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('partialMatchingImages')) {
      partialMatchingImages = (_json['partialMatchingImages'] as core.List)
          .map<WebImage>((value) => WebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('visuallySimilarImages')) {
      visuallySimilarImages = (_json['visuallySimilarImages'] as core.List)
          .map<WebImage>((value) => WebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('webEntities')) {
      webEntities = (_json['webEntities'] as core.List)
          .map<WebEntity>((value) => WebEntity.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (bestGuessLabels != null) {
      _json['bestGuessLabels'] =
          bestGuessLabels.map((value) => value.toJson()).toList();
    }
    if (fullMatchingImages != null) {
      _json['fullMatchingImages'] =
          fullMatchingImages.map((value) => value.toJson()).toList();
    }
    if (pagesWithMatchingImages != null) {
      _json['pagesWithMatchingImages'] =
          pagesWithMatchingImages.map((value) => value.toJson()).toList();
    }
    if (partialMatchingImages != null) {
      _json['partialMatchingImages'] =
          partialMatchingImages.map((value) => value.toJson()).toList();
    }
    if (visuallySimilarImages != null) {
      _json['visuallySimilarImages'] =
          visuallySimilarImages.map((value) => value.toJson()).toList();
    }
    if (webEntities != null) {
      _json['webEntities'] =
          webEntities.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Parameters for web detection request.
class WebDetectionParams {
  /// Whether to include results derived from the geo information in the image.
  core.bool includeGeoResults;

  WebDetectionParams();

  WebDetectionParams.fromJson(core.Map _json) {
    if (_json.containsKey('includeGeoResults')) {
      includeGeoResults = _json['includeGeoResults'] as core.bool;
    }
  }

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

/// Entity deduced from similar images on the Internet.
class WebEntity {
  /// Canonical description of the entity, in English.
  core.String description;

  /// Opaque entity ID.
  core.String entityId;

  /// Overall relevancy score for the entity. Not normalized and not comparable
  /// across different image queries.
  core.double score;

  WebEntity();

  WebEntity.fromJson(core.Map _json) {
    if (_json.containsKey('description')) {
      description = _json['description'] as core.String;
    }
    if (_json.containsKey('entityId')) {
      entityId = _json['entityId'] as core.String;
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (description != null) {
      _json['description'] = description;
    }
    if (entityId != null) {
      _json['entityId'] = entityId;
    }
    if (score != null) {
      _json['score'] = score;
    }
    return _json;
  }
}

/// Metadata for online images.
class WebImage {
  /// (Deprecated) Overall relevancy score for the image.
  core.double score;

  /// The result image URL.
  core.String url;

  WebImage();

  WebImage.fromJson(core.Map _json) {
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('url')) {
      url = _json['url'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (score != null) {
      _json['score'] = score;
    }
    if (url != null) {
      _json['url'] = url;
    }
    return _json;
  }
}

/// Label to provide extra metadata for the web detection.
class WebLabel {
  /// Label for extra metadata.
  core.String label;

  /// The BCP-47 language code for `label`, such as "en-US" or "sr-Latn". For
  /// more information, see
  /// http://www.unicode.org/reports/tr35/#Unicode_locale_identifier.
  core.String languageCode;

  WebLabel();

  WebLabel.fromJson(core.Map _json) {
    if (_json.containsKey('label')) {
      label = _json['label'] as core.String;
    }
    if (_json.containsKey('languageCode')) {
      languageCode = _json['languageCode'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (label != null) {
      _json['label'] = label;
    }
    if (languageCode != null) {
      _json['languageCode'] = languageCode;
    }
    return _json;
  }
}

/// Metadata for web pages.
class WebPage {
  /// Fully matching images on the page. Can include resized copies of the query
  /// image.
  core.List<WebImage> fullMatchingImages;

  /// Title for the web page, may contain HTML markups.
  core.String pageTitle;

  /// Partial matching images on the page. Those images are similar enough to
  /// share some key-point features. For example an original image will likely
  /// have partial matching for its crops.
  core.List<WebImage> partialMatchingImages;

  /// (Deprecated) Overall relevancy score for the web page.
  core.double score;

  /// The result web page URL.
  core.String url;

  WebPage();

  WebPage.fromJson(core.Map _json) {
    if (_json.containsKey('fullMatchingImages')) {
      fullMatchingImages = (_json['fullMatchingImages'] as core.List)
          .map<WebImage>((value) => WebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('pageTitle')) {
      pageTitle = _json['pageTitle'] as core.String;
    }
    if (_json.containsKey('partialMatchingImages')) {
      partialMatchingImages = (_json['partialMatchingImages'] as core.List)
          .map<WebImage>((value) => WebImage.fromJson(value))
          .toList();
    }
    if (_json.containsKey('score')) {
      score = (_json['score'] as core.num).toDouble();
    }
    if (_json.containsKey('url')) {
      url = _json['url'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (fullMatchingImages != null) {
      _json['fullMatchingImages'] =
          fullMatchingImages.map((value) => value.toJson()).toList();
    }
    if (pageTitle != null) {
      _json['pageTitle'] = pageTitle;
    }
    if (partialMatchingImages != null) {
      _json['partialMatchingImages'] =
          partialMatchingImages.map((value) => value.toJson()).toList();
    }
    if (score != null) {
      _json['score'] = score;
    }
    if (url != null) {
      _json['url'] = url;
    }
    return _json;
  }
}

/// A word representation.
class Word {
  /// The bounding box for the word. The vertices are in the order of top-left,
  /// top-right, bottom-right, bottom-left. When a rotation of the bounding box
  /// is detected the rotation is represented as around the top-left corner as
  /// defined when the text is read in the 'natural' orientation. For example: *
  /// when the text is horizontal it might look like: 0----1 | | 3----2 * when
  /// it's rotated 180 degrees around the top-left corner it becomes: 2----3 | |
  /// 1----0 and the vertex order will still be (0, 1, 2, 3).
  BoundingPoly boundingBox;

  /// Confidence of the OCR results for the word. Range [0, 1].
  core.double confidence;

  /// Additional information detected for the word.
  TextProperty property;

  /// List of symbols in the word. The order of the symbols follows the natural
  /// reading order.
  core.List<Symbol> symbols;

  Word();

  Word.fromJson(core.Map _json) {
    if (_json.containsKey('boundingBox')) {
      boundingBox = BoundingPoly.fromJson(_json['boundingBox']);
    }
    if (_json.containsKey('confidence')) {
      confidence = (_json['confidence'] as core.num).toDouble();
    }
    if (_json.containsKey('property')) {
      property = TextProperty.fromJson(_json['property']);
    }
    if (_json.containsKey('symbols')) {
      symbols = (_json['symbols'] as core.List)
          .map<Symbol>((value) => Symbol.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (boundingBox != null) {
      _json['boundingBox'] = boundingBox.toJson();
    }
    if (confidence != null) {
      _json['confidence'] = confidence;
    }
    if (property != null) {
      _json['property'] = property.toJson();
    }
    if (symbols != null) {
      _json['symbols'] = symbols.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}