# frozen_string_literal: true

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Auto-generated by gapic-generator-ruby. DO NOT EDIT!

require "google/cloud/errors"
require "google/cloud/automl/v1/service_pb"

module Google
  module Cloud
    module AutoML
      module V1
        module AutoML
          ##
          # Client for the AutoMl service.
          #
          # AutoML Server API.
          #
          # The resource names are assigned by the server.
          # The server never reuses names that it has created after the resources with
          # those names are deleted.
          #
          # An ID of a resource is the last element of the item's resource name. For
          # `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
          # the id for the item is `{dataset_id}`.
          #
          # Currently the only supported `location_id` is "us-central1".
          #
          # On any input that is documented to expect a string parameter in
          # snake_case or dash-case, either of those cases is accepted.
          #
          class Client
            # @private
            API_VERSION = ""

            # @private
            DEFAULT_ENDPOINT_TEMPLATE = "automl.$UNIVERSE_DOMAIN$"

            include Paths

            # @private
            attr_reader :auto_ml_stub

            ##
            # Configure the AutoMl Client class.
            #
            # See {::Google::Cloud::AutoML::V1::AutoML::Client::Configuration}
            # for a description of the configuration fields.
            #
            # @example
            #
            #   # Modify the configuration for all AutoMl clients
            #   ::Google::Cloud::AutoML::V1::AutoML::Client.configure do |config|
            #     config.timeout = 10.0
            #   end
            #
            # @yield [config] Configure the Client client.
            # @yieldparam config [Client::Configuration]
            #
            # @return [Client::Configuration]
            #
            def self.configure
              @configure ||= begin
                namespace = ["Google", "Cloud", "AutoML", "V1"]
                parent_config = while namespace.any?
                                  parent_name = namespace.join "::"
                                  parent_const = const_get parent_name
                                  break parent_const.configure if parent_const.respond_to? :configure
                                  namespace.pop
                                end
                default_config = Client::Configuration.new parent_config

                default_config.rpcs.create_dataset.timeout = 5.0

                default_config.rpcs.get_dataset.timeout = 5.0
                default_config.rpcs.get_dataset.retry_policy = {
                  initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
                }

                default_config.rpcs.list_datasets.timeout = 5.0
                default_config.rpcs.list_datasets.retry_policy = {
                  initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
                }

                default_config.rpcs.update_dataset.timeout = 5.0

                default_config.rpcs.delete_dataset.timeout = 5.0
                default_config.rpcs.delete_dataset.retry_policy = {
                  initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
                }

                default_config.rpcs.import_data.timeout = 5.0

                default_config.rpcs.export_data.timeout = 5.0

                default_config.rpcs.get_annotation_spec.timeout = 5.0
                default_config.rpcs.get_annotation_spec.retry_policy = {
                  initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
                }

                default_config.rpcs.create_model.timeout = 5.0

                default_config.rpcs.get_model.timeout = 5.0
                default_config.rpcs.get_model.retry_policy = {
                  initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
                }

                default_config.rpcs.list_models.timeout = 5.0
                default_config.rpcs.list_models.retry_policy = {
                  initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
                }

                default_config.rpcs.delete_model.timeout = 5.0
                default_config.rpcs.delete_model.retry_policy = {
                  initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
                }

                default_config.rpcs.update_model.timeout = 5.0

                default_config.rpcs.deploy_model.timeout = 5.0

                default_config.rpcs.undeploy_model.timeout = 5.0

                default_config.rpcs.export_model.timeout = 5.0

                default_config.rpcs.get_model_evaluation.timeout = 5.0
                default_config.rpcs.get_model_evaluation.retry_policy = {
                  initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
                }

                default_config.rpcs.list_model_evaluations.timeout = 5.0
                default_config.rpcs.list_model_evaluations.retry_policy = {
                  initial_delay: 0.1, max_delay: 60.0, multiplier: 1.3, retry_codes: [4, 14]
                }

                default_config
              end
              yield @configure if block_given?
              @configure
            end

            ##
            # Configure the AutoMl Client instance.
            #
            # The configuration is set to the derived mode, meaning that values can be changed,
            # but structural changes (adding new fields, etc.) are not allowed. Structural changes
            # should be made on {Client.configure}.
            #
            # See {::Google::Cloud::AutoML::V1::AutoML::Client::Configuration}
            # for a description of the configuration fields.
            #
            # @yield [config] Configure the Client client.
            # @yieldparam config [Client::Configuration]
            #
            # @return [Client::Configuration]
            #
            def configure
              yield @config if block_given?
              @config
            end

            ##
            # The effective universe domain
            #
            # @return [String]
            #
            def universe_domain
              @auto_ml_stub.universe_domain
            end

            ##
            # Create a new AutoMl client object.
            #
            # @example
            #
            #   # Create a client using the default configuration
            #   client = ::Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a client using a custom configuration
            #   client = ::Google::Cloud::AutoML::V1::AutoML::Client.new do |config|
            #     config.timeout = 10.0
            #   end
            #
            # @yield [config] Configure the AutoMl client.
            # @yieldparam config [Client::Configuration]
            #
            def initialize
              # These require statements are intentionally placed here to initialize
              # the gRPC module only when it's required.
              # See https://github.com/googleapis/toolkit/issues/446
              require "gapic/grpc"
              require "google/cloud/automl/v1/service_services_pb"

              # Create the configuration object
              @config = Configuration.new Client.configure

              # Yield the configuration if needed
              yield @config if block_given?

              # Create credentials
              credentials = @config.credentials
              # Use self-signed JWT if the endpoint is unchanged from default,
              # but only if the default endpoint does not have a region prefix.
              enable_self_signed_jwt = @config.endpoint.nil? ||
                                       (@config.endpoint == Configuration::DEFAULT_ENDPOINT &&
                                       !@config.endpoint.split(".").first.include?("-"))
              credentials ||= Credentials.default scope: @config.scope,
                                                  enable_self_signed_jwt: enable_self_signed_jwt
              if credentials.is_a?(::String) || credentials.is_a?(::Hash)
                credentials = Credentials.new credentials, scope: @config.scope
              end
              @quota_project_id = @config.quota_project
              @quota_project_id ||= credentials.quota_project_id if credentials.respond_to? :quota_project_id

              @operations_client = Operations.new do |config|
                config.credentials = credentials
                config.quota_project = @quota_project_id
                config.endpoint = @config.endpoint
                config.universe_domain = @config.universe_domain
              end

              @auto_ml_stub = ::Gapic::ServiceStub.new(
                ::Google::Cloud::AutoML::V1::AutoMl::Stub,
                credentials: credentials,
                endpoint: @config.endpoint,
                endpoint_template: DEFAULT_ENDPOINT_TEMPLATE,
                universe_domain: @config.universe_domain,
                channel_args: @config.channel_args,
                interceptors: @config.interceptors,
                channel_pool_config: @config.channel_pool,
                logger: @config.logger
              )

              @auto_ml_stub.stub_logger&.info do |entry|
                entry.set_system_name
                entry.set_service
                entry.message = "Created client for #{entry.service}"
                entry.set_credentials_fields credentials
                entry.set "customEndpoint", @config.endpoint if @config.endpoint
                entry.set "defaultTimeout", @config.timeout if @config.timeout
                entry.set "quotaProject", @quota_project_id if @quota_project_id
              end
            end

            ##
            # Get the associated client for long-running operations.
            #
            # @return [::Google::Cloud::AutoML::V1::AutoML::Operations]
            #
            attr_reader :operations_client

            ##
            # The logger used for request/response debug logging.
            #
            # @return [Logger]
            #
            def logger
              @auto_ml_stub.logger
            end

            # Service calls

            ##
            # Creates a dataset.
            #
            # @overload create_dataset(request, options = nil)
            #   Pass arguments to `create_dataset` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::CreateDatasetRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::CreateDatasetRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload create_dataset(parent: nil, dataset: nil)
            #   Pass arguments to `create_dataset` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param parent [::String]
            #     Required. The resource name of the project to create the dataset for.
            #   @param dataset [::Google::Cloud::AutoML::V1::Dataset, ::Hash]
            #     Required. The dataset to create.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::Operation]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::Operation]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::CreateDatasetRequest.new
            #
            #   # Call the create_dataset method.
            #   result = client.create_dataset request
            #
            #   # The returned object is of type Gapic::Operation. You can use it to
            #   # check the status of an operation, cancel it, or wait for results.
            #   # Here is how to wait for a response.
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "No response received."
            #   end
            #
            def create_dataset request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::CreateDatasetRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.create_dataset.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.parent
                header_params["parent"] = request.parent
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.create_dataset.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.create_dataset.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :create_dataset, request, options: options do |response, operation|
                response = ::Gapic::Operation.new response, @operations_client, options: options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Gets a dataset.
            #
            # @overload get_dataset(request, options = nil)
            #   Pass arguments to `get_dataset` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::GetDatasetRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::GetDatasetRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload get_dataset(name: nil)
            #   Pass arguments to `get_dataset` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param name [::String]
            #     Required. The resource name of the dataset to retrieve.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AutoML::V1::Dataset]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AutoML::V1::Dataset]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::GetDatasetRequest.new
            #
            #   # Call the get_dataset method.
            #   result = client.get_dataset request
            #
            #   # The returned object is of type Google::Cloud::AutoML::V1::Dataset.
            #   p result
            #
            def get_dataset request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::GetDatasetRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.get_dataset.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.get_dataset.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.get_dataset.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :get_dataset, request, options: options do |response, operation|
                yield response, operation if block_given?
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Lists datasets in a project.
            #
            # @overload list_datasets(request, options = nil)
            #   Pass arguments to `list_datasets` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::ListDatasetsRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::ListDatasetsRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload list_datasets(parent: nil, filter: nil, page_size: nil, page_token: nil)
            #   Pass arguments to `list_datasets` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param parent [::String]
            #     Required. The resource name of the project from which to list datasets.
            #   @param filter [::String]
            #     An expression for filtering the results of the request.
            #
            #       * `dataset_metadata` - for existence of the case (e.g.
            #                 `image_classification_dataset_metadata:*`). Some examples of using the filter are:
            #
            #       * `translation_dataset_metadata:*` --> The dataset has
            #                                              `translation_dataset_metadata`.
            #   @param page_size [::Integer]
            #     Requested page size. Server may return fewer results than requested.
            #     If unspecified, server will pick a default size.
            #   @param page_token [::String]
            #     A token identifying a page of results for the server to return
            #     Typically obtained via
            #     {::Google::Cloud::AutoML::V1::ListDatasetsResponse#next_page_token ListDatasetsResponse.next_page_token} of the previous
            #     {::Google::Cloud::AutoML::V1::AutoML::Client#list_datasets AutoMl.ListDatasets} call.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Dataset>]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Dataset>]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::ListDatasetsRequest.new
            #
            #   # Call the list_datasets method.
            #   result = client.list_datasets request
            #
            #   # The returned object is of type Gapic::PagedEnumerable. You can iterate
            #   # over elements, and API calls will be issued to fetch pages as needed.
            #   result.each do |item|
            #     # Each element is of type ::Google::Cloud::AutoML::V1::Dataset.
            #     p item
            #   end
            #
            def list_datasets request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ListDatasetsRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.list_datasets.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.parent
                header_params["parent"] = request.parent
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.list_datasets.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.list_datasets.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :list_datasets, request, options: options do |response, operation|
                response = ::Gapic::PagedEnumerable.new @auto_ml_stub, :list_datasets, request, response, operation, options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Updates a dataset.
            #
            # @overload update_dataset(request, options = nil)
            #   Pass arguments to `update_dataset` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::UpdateDatasetRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::UpdateDatasetRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload update_dataset(dataset: nil, update_mask: nil)
            #   Pass arguments to `update_dataset` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param dataset [::Google::Cloud::AutoML::V1::Dataset, ::Hash]
            #     Required. The dataset which replaces the resource on the server.
            #   @param update_mask [::Google::Protobuf::FieldMask, ::Hash]
            #     Required. The update mask applies to the resource.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AutoML::V1::Dataset]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AutoML::V1::Dataset]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::UpdateDatasetRequest.new
            #
            #   # Call the update_dataset method.
            #   result = client.update_dataset request
            #
            #   # The returned object is of type Google::Cloud::AutoML::V1::Dataset.
            #   p result
            #
            def update_dataset request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::UpdateDatasetRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.update_dataset.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.dataset&.name
                header_params["dataset.name"] = request.dataset.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.update_dataset.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.update_dataset.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :update_dataset, request, options: options do |response, operation|
                yield response, operation if block_given?
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Deletes a dataset and all of its contents.
            # Returns empty response in the
            # {::Google::Longrunning::Operation#response response} field when it completes,
            # and `delete_details` in the
            # {::Google::Longrunning::Operation#metadata metadata} field.
            #
            # @overload delete_dataset(request, options = nil)
            #   Pass arguments to `delete_dataset` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::DeleteDatasetRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::DeleteDatasetRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload delete_dataset(name: nil)
            #   Pass arguments to `delete_dataset` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param name [::String]
            #     Required. The resource name of the dataset to delete.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::Operation]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::Operation]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::DeleteDatasetRequest.new
            #
            #   # Call the delete_dataset method.
            #   result = client.delete_dataset request
            #
            #   # The returned object is of type Gapic::Operation. You can use it to
            #   # check the status of an operation, cancel it, or wait for results.
            #   # Here is how to wait for a response.
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "No response received."
            #   end
            #
            def delete_dataset request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::DeleteDatasetRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.delete_dataset.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.delete_dataset.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.delete_dataset.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :delete_dataset, request, options: options do |response, operation|
                response = ::Gapic::Operation.new response, @operations_client, options: options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Imports data into a dataset.
            # For Tables this method can only be called on an empty Dataset.
            #
            # For Tables:
            # *   A
            # {::Google::Cloud::AutoML::V1::InputConfig#params schema_inference_version}
            #     parameter must be explicitly set.
            # Returns an empty response in the
            # {::Google::Longrunning::Operation#response response} field when it completes.
            #
            # @overload import_data(request, options = nil)
            #   Pass arguments to `import_data` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::ImportDataRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::ImportDataRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload import_data(name: nil, input_config: nil)
            #   Pass arguments to `import_data` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param name [::String]
            #     Required. Dataset name. Dataset must already exist. All imported
            #     annotations and examples will be added.
            #   @param input_config [::Google::Cloud::AutoML::V1::InputConfig, ::Hash]
            #     Required. The desired input location and its domain specific semantics,
            #     if any.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::Operation]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::Operation]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::ImportDataRequest.new
            #
            #   # Call the import_data method.
            #   result = client.import_data request
            #
            #   # The returned object is of type Gapic::Operation. You can use it to
            #   # check the status of an operation, cancel it, or wait for results.
            #   # Here is how to wait for a response.
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "No response received."
            #   end
            #
            def import_data request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ImportDataRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.import_data.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.import_data.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.import_data.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :import_data, request, options: options do |response, operation|
                response = ::Gapic::Operation.new response, @operations_client, options: options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Exports dataset's data to the provided output location.
            # Returns an empty response in the
            # {::Google::Longrunning::Operation#response response} field when it completes.
            #
            # @overload export_data(request, options = nil)
            #   Pass arguments to `export_data` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::ExportDataRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::ExportDataRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload export_data(name: nil, output_config: nil)
            #   Pass arguments to `export_data` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param name [::String]
            #     Required. The resource name of the dataset.
            #   @param output_config [::Google::Cloud::AutoML::V1::OutputConfig, ::Hash]
            #     Required. The desired output location.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::Operation]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::Operation]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::ExportDataRequest.new
            #
            #   # Call the export_data method.
            #   result = client.export_data request
            #
            #   # The returned object is of type Gapic::Operation. You can use it to
            #   # check the status of an operation, cancel it, or wait for results.
            #   # Here is how to wait for a response.
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "No response received."
            #   end
            #
            def export_data request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ExportDataRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.export_data.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.export_data.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.export_data.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :export_data, request, options: options do |response, operation|
                response = ::Gapic::Operation.new response, @operations_client, options: options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Gets an annotation spec.
            #
            # @overload get_annotation_spec(request, options = nil)
            #   Pass arguments to `get_annotation_spec` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::GetAnnotationSpecRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::GetAnnotationSpecRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload get_annotation_spec(name: nil)
            #   Pass arguments to `get_annotation_spec` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param name [::String]
            #     Required. The resource name of the annotation spec to retrieve.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AutoML::V1::AnnotationSpec]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AutoML::V1::AnnotationSpec]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::GetAnnotationSpecRequest.new
            #
            #   # Call the get_annotation_spec method.
            #   result = client.get_annotation_spec request
            #
            #   # The returned object is of type Google::Cloud::AutoML::V1::AnnotationSpec.
            #   p result
            #
            def get_annotation_spec request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::GetAnnotationSpecRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.get_annotation_spec.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.get_annotation_spec.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.get_annotation_spec.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :get_annotation_spec, request, options: options do |response, operation|
                yield response, operation if block_given?
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Creates a model.
            # Returns a Model in the {::Google::Longrunning::Operation#response response}
            # field when it completes.
            # When you create a model, several model evaluations are created for it:
            # a global evaluation, and one evaluation for each annotation spec.
            #
            # @overload create_model(request, options = nil)
            #   Pass arguments to `create_model` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::CreateModelRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::CreateModelRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload create_model(parent: nil, model: nil)
            #   Pass arguments to `create_model` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param parent [::String]
            #     Required. Resource name of the parent project where the model is being created.
            #   @param model [::Google::Cloud::AutoML::V1::Model, ::Hash]
            #     Required. The model to create.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::Operation]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::Operation]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::CreateModelRequest.new
            #
            #   # Call the create_model method.
            #   result = client.create_model request
            #
            #   # The returned object is of type Gapic::Operation. You can use it to
            #   # check the status of an operation, cancel it, or wait for results.
            #   # Here is how to wait for a response.
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "No response received."
            #   end
            #
            def create_model request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::CreateModelRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.create_model.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.parent
                header_params["parent"] = request.parent
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.create_model.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.create_model.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :create_model, request, options: options do |response, operation|
                response = ::Gapic::Operation.new response, @operations_client, options: options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Gets a model.
            #
            # @overload get_model(request, options = nil)
            #   Pass arguments to `get_model` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::GetModelRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::GetModelRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload get_model(name: nil)
            #   Pass arguments to `get_model` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param name [::String]
            #     Required. Resource name of the model.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AutoML::V1::Model]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AutoML::V1::Model]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::GetModelRequest.new
            #
            #   # Call the get_model method.
            #   result = client.get_model request
            #
            #   # The returned object is of type Google::Cloud::AutoML::V1::Model.
            #   p result
            #
            def get_model request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::GetModelRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.get_model.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.get_model.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.get_model.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :get_model, request, options: options do |response, operation|
                yield response, operation if block_given?
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Lists models.
            #
            # @overload list_models(request, options = nil)
            #   Pass arguments to `list_models` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::ListModelsRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::ListModelsRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload list_models(parent: nil, filter: nil, page_size: nil, page_token: nil)
            #   Pass arguments to `list_models` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param parent [::String]
            #     Required. Resource name of the project, from which to list the models.
            #   @param filter [::String]
            #     An expression for filtering the results of the request.
            #
            #       * `model_metadata` - for existence of the case (e.g.
            #                 `video_classification_model_metadata:*`).
            #       * `dataset_id` - for = or !=. Some examples of using the filter are:
            #
            #       * `image_classification_model_metadata:*` --> The model has
            #                                          `image_classification_model_metadata`.
            #       * `dataset_id=5` --> The model was created from a dataset with ID 5.
            #   @param page_size [::Integer]
            #     Requested page size.
            #   @param page_token [::String]
            #     A token identifying a page of results for the server to return
            #     Typically obtained via
            #     {::Google::Cloud::AutoML::V1::ListModelsResponse#next_page_token ListModelsResponse.next_page_token} of the previous
            #     {::Google::Cloud::AutoML::V1::AutoML::Client#list_models AutoMl.ListModels} call.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Model>]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::Model>]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::ListModelsRequest.new
            #
            #   # Call the list_models method.
            #   result = client.list_models request
            #
            #   # The returned object is of type Gapic::PagedEnumerable. You can iterate
            #   # over elements, and API calls will be issued to fetch pages as needed.
            #   result.each do |item|
            #     # Each element is of type ::Google::Cloud::AutoML::V1::Model.
            #     p item
            #   end
            #
            def list_models request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ListModelsRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.list_models.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.parent
                header_params["parent"] = request.parent
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.list_models.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.list_models.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :list_models, request, options: options do |response, operation|
                response = ::Gapic::PagedEnumerable.new @auto_ml_stub, :list_models, request, response, operation, options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Deletes a model.
            # Returns `google.protobuf.Empty` in the
            # {::Google::Longrunning::Operation#response response} field when it completes,
            # and `delete_details` in the
            # {::Google::Longrunning::Operation#metadata metadata} field.
            #
            # @overload delete_model(request, options = nil)
            #   Pass arguments to `delete_model` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::DeleteModelRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::DeleteModelRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload delete_model(name: nil)
            #   Pass arguments to `delete_model` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param name [::String]
            #     Required. Resource name of the model being deleted.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::Operation]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::Operation]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::DeleteModelRequest.new
            #
            #   # Call the delete_model method.
            #   result = client.delete_model request
            #
            #   # The returned object is of type Gapic::Operation. You can use it to
            #   # check the status of an operation, cancel it, or wait for results.
            #   # Here is how to wait for a response.
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "No response received."
            #   end
            #
            def delete_model request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::DeleteModelRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.delete_model.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.delete_model.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.delete_model.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :delete_model, request, options: options do |response, operation|
                response = ::Gapic::Operation.new response, @operations_client, options: options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Updates a model.
            #
            # @overload update_model(request, options = nil)
            #   Pass arguments to `update_model` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::UpdateModelRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::UpdateModelRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload update_model(model: nil, update_mask: nil)
            #   Pass arguments to `update_model` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param model [::Google::Cloud::AutoML::V1::Model, ::Hash]
            #     Required. The model which replaces the resource on the server.
            #   @param update_mask [::Google::Protobuf::FieldMask, ::Hash]
            #     Required. The update mask applies to the resource.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AutoML::V1::Model]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AutoML::V1::Model]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::UpdateModelRequest.new
            #
            #   # Call the update_model method.
            #   result = client.update_model request
            #
            #   # The returned object is of type Google::Cloud::AutoML::V1::Model.
            #   p result
            #
            def update_model request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::UpdateModelRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.update_model.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.model&.name
                header_params["model.name"] = request.model.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.update_model.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.update_model.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :update_model, request, options: options do |response, operation|
                yield response, operation if block_given?
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Deploys a model. If a model is already deployed, deploying it with the
            # same parameters has no effect. Deploying with different parametrs
            # (as e.g. changing
            # [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number])
            #  will reset the deployment state without pausing the model's availability.
            #
            # Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
            # deployment automatically.
            #
            # Returns an empty response in the
            # {::Google::Longrunning::Operation#response response} field when it completes.
            #
            # @overload deploy_model(request, options = nil)
            #   Pass arguments to `deploy_model` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::DeployModelRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::DeployModelRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload deploy_model(image_object_detection_model_deployment_metadata: nil, image_classification_model_deployment_metadata: nil, name: nil)
            #   Pass arguments to `deploy_model` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param image_object_detection_model_deployment_metadata [::Google::Cloud::AutoML::V1::ImageObjectDetectionModelDeploymentMetadata, ::Hash]
            #     Model deployment metadata specific to Image Object Detection.
            #
            #     Note: The following parameters are mutually exclusive: `image_object_detection_model_deployment_metadata`, `image_classification_model_deployment_metadata`. At most one of these parameters can be set. If more than one is set, only one will be used, and it is not defined which one.
            #   @param image_classification_model_deployment_metadata [::Google::Cloud::AutoML::V1::ImageClassificationModelDeploymentMetadata, ::Hash]
            #     Model deployment metadata specific to Image Classification.
            #
            #     Note: The following parameters are mutually exclusive: `image_classification_model_deployment_metadata`, `image_object_detection_model_deployment_metadata`. At most one of these parameters can be set. If more than one is set, only one will be used, and it is not defined which one.
            #   @param name [::String]
            #     Required. Resource name of the model to deploy.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::Operation]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::Operation]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::DeployModelRequest.new
            #
            #   # Call the deploy_model method.
            #   result = client.deploy_model request
            #
            #   # The returned object is of type Gapic::Operation. You can use it to
            #   # check the status of an operation, cancel it, or wait for results.
            #   # Here is how to wait for a response.
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "No response received."
            #   end
            #
            def deploy_model request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::DeployModelRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.deploy_model.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.deploy_model.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.deploy_model.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :deploy_model, request, options: options do |response, operation|
                response = ::Gapic::Operation.new response, @operations_client, options: options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Undeploys a model. If the model is not deployed this method has no effect.
            #
            # Only applicable for Text Classification, Image Object Detection and Tables;
            # all other domains manage deployment automatically.
            #
            # Returns an empty response in the
            # {::Google::Longrunning::Operation#response response} field when it completes.
            #
            # @overload undeploy_model(request, options = nil)
            #   Pass arguments to `undeploy_model` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::UndeployModelRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::UndeployModelRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload undeploy_model(name: nil)
            #   Pass arguments to `undeploy_model` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param name [::String]
            #     Required. Resource name of the model to undeploy.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::Operation]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::Operation]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::UndeployModelRequest.new
            #
            #   # Call the undeploy_model method.
            #   result = client.undeploy_model request
            #
            #   # The returned object is of type Gapic::Operation. You can use it to
            #   # check the status of an operation, cancel it, or wait for results.
            #   # Here is how to wait for a response.
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "No response received."
            #   end
            #
            def undeploy_model request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::UndeployModelRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.undeploy_model.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.undeploy_model.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.undeploy_model.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :undeploy_model, request, options: options do |response, operation|
                response = ::Gapic::Operation.new response, @operations_client, options: options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Exports a trained, "export-able", model to a user specified Google Cloud
            # Storage location. A model is considered export-able if and only if it has
            # an export format defined for it in
            # {::Google::Cloud::AutoML::V1::ModelExportOutputConfig ModelExportOutputConfig}.
            #
            # Returns an empty response in the
            # {::Google::Longrunning::Operation#response response} field when it completes.
            #
            # @overload export_model(request, options = nil)
            #   Pass arguments to `export_model` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::ExportModelRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::ExportModelRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload export_model(name: nil, output_config: nil)
            #   Pass arguments to `export_model` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param name [::String]
            #     Required. The resource name of the model to export.
            #   @param output_config [::Google::Cloud::AutoML::V1::ModelExportOutputConfig, ::Hash]
            #     Required. The desired output location and configuration.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::Operation]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::Operation]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::ExportModelRequest.new
            #
            #   # Call the export_model method.
            #   result = client.export_model request
            #
            #   # The returned object is of type Gapic::Operation. You can use it to
            #   # check the status of an operation, cancel it, or wait for results.
            #   # Here is how to wait for a response.
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "No response received."
            #   end
            #
            def export_model request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ExportModelRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.export_model.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.export_model.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.export_model.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :export_model, request, options: options do |response, operation|
                response = ::Gapic::Operation.new response, @operations_client, options: options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Gets a model evaluation.
            #
            # @overload get_model_evaluation(request, options = nil)
            #   Pass arguments to `get_model_evaluation` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::GetModelEvaluationRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::GetModelEvaluationRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload get_model_evaluation(name: nil)
            #   Pass arguments to `get_model_evaluation` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param name [::String]
            #     Required. Resource name for the model evaluation.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AutoML::V1::ModelEvaluation]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AutoML::V1::ModelEvaluation]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::GetModelEvaluationRequest.new
            #
            #   # Call the get_model_evaluation method.
            #   result = client.get_model_evaluation request
            #
            #   # The returned object is of type Google::Cloud::AutoML::V1::ModelEvaluation.
            #   p result
            #
            def get_model_evaluation request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::GetModelEvaluationRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.get_model_evaluation.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.name
                header_params["name"] = request.name
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.get_model_evaluation.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.get_model_evaluation.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :get_model_evaluation, request, options: options do |response, operation|
                yield response, operation if block_given?
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Lists model evaluations.
            #
            # @overload list_model_evaluations(request, options = nil)
            #   Pass arguments to `list_model_evaluations` via a request object, either of type
            #   {::Google::Cloud::AutoML::V1::ListModelEvaluationsRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AutoML::V1::ListModelEvaluationsRequest, ::Hash]
            #     A request object representing the call parameters. Required. To specify no
            #     parameters, or to keep all the default parameter values, pass an empty Hash.
            #   @param options [::Gapic::CallOptions, ::Hash]
            #     Overrides the default settings for this call, e.g, timeout, retries, etc. Optional.
            #
            # @overload list_model_evaluations(parent: nil, filter: nil, page_size: nil, page_token: nil)
            #   Pass arguments to `list_model_evaluations` via keyword arguments. Note that at
            #   least one keyword argument is required. To specify no parameters, or to keep all
            #   the default parameter values, pass an empty Hash as a request object (see above).
            #
            #   @param parent [::String]
            #     Required. Resource name of the model to list the model evaluations for.
            #     If modelId is set as "-", this will list model evaluations from across all
            #     models of the parent location.
            #   @param filter [::String]
            #     Required. An expression for filtering the results of the request.
            #
            #       * `annotation_spec_id` - for =, !=  or existence. See example below for
            #                              the last.
            #
            #     Some examples of using the filter are:
            #
            #       * `annotation_spec_id!=4` --> The model evaluation was done for
            #                                 annotation spec with ID different than 4.
            #       * `NOT annotation_spec_id:*` --> The model evaluation was done for
            #                                    aggregate of all annotation specs.
            #   @param page_size [::Integer]
            #     Requested page size.
            #   @param page_token [::String]
            #     A token identifying a page of results for the server to return.
            #     Typically obtained via
            #     {::Google::Cloud::AutoML::V1::ListModelEvaluationsResponse#next_page_token ListModelEvaluationsResponse.next_page_token} of the previous
            #     {::Google::Cloud::AutoML::V1::AutoML::Client#list_model_evaluations AutoMl.ListModelEvaluations} call.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::ModelEvaluation>]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::PagedEnumerable<::Google::Cloud::AutoML::V1::ModelEvaluation>]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/automl/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AutoML::V1::AutoML::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AutoML::V1::ListModelEvaluationsRequest.new
            #
            #   # Call the list_model_evaluations method.
            #   result = client.list_model_evaluations request
            #
            #   # The returned object is of type Gapic::PagedEnumerable. You can iterate
            #   # over elements, and API calls will be issued to fetch pages as needed.
            #   result.each do |item|
            #     # Each element is of type ::Google::Cloud::AutoML::V1::ModelEvaluation.
            #     p item
            #   end
            #
            def list_model_evaluations request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AutoML::V1::ListModelEvaluationsRequest

              # Converts hash and nil to an options object
              options = ::Gapic::CallOptions.new(**options.to_h) if options.respond_to? :to_h

              # Customize the options with defaults
              metadata = @config.rpcs.list_model_evaluations.metadata.to_h

              # Set x-goog-api-client, x-goog-user-project and x-goog-api-version headers
              metadata[:"x-goog-api-client"] ||= ::Gapic::Headers.x_goog_api_client \
                lib_name: @config.lib_name, lib_version: @config.lib_version,
                gapic_version: ::Google::Cloud::AutoML::V1::VERSION
              metadata[:"x-goog-api-version"] = API_VERSION unless API_VERSION.empty?
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.parent
                header_params["parent"] = request.parent
              end

              request_params_header = header_params.map { |k, v| "#{k}=#{v}" }.join("&")
              metadata[:"x-goog-request-params"] ||= request_params_header

              options.apply_defaults timeout:      @config.rpcs.list_model_evaluations.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.list_model_evaluations.retry_policy

              options.apply_defaults timeout:      @config.timeout,
                                     metadata:     @config.metadata,
                                     retry_policy: @config.retry_policy

              @auto_ml_stub.call_rpc :list_model_evaluations, request, options: options do |response, operation|
                response = ::Gapic::PagedEnumerable.new @auto_ml_stub, :list_model_evaluations, request, response, operation, options
                yield response, operation if block_given?
                throw :response, response
              end
            rescue ::GRPC::BadStatus => e
              raise ::Google::Cloud::Error.from_error(e)
            end

            ##
            # Configuration class for the AutoMl API.
            #
            # This class represents the configuration for AutoMl,
            # providing control over timeouts, retry behavior, logging, transport
            # parameters, and other low-level controls. Certain parameters can also be
            # applied individually to specific RPCs. See
            # {::Google::Cloud::AutoML::V1::AutoML::Client::Configuration::Rpcs}
            # for a list of RPCs that can be configured independently.
            #
            # Configuration can be applied globally to all clients, or to a single client
            # on construction.
            #
            # @example
            #
            #   # Modify the global config, setting the timeout for
            #   # create_dataset to 20 seconds,
            #   # and all remaining timeouts to 10 seconds.
            #   ::Google::Cloud::AutoML::V1::AutoML::Client.configure do |config|
            #     config.timeout = 10.0
            #     config.rpcs.create_dataset.timeout = 20.0
            #   end
            #
            #   # Apply the above configuration only to a new client.
            #   client = ::Google::Cloud::AutoML::V1::AutoML::Client.new do |config|
            #     config.timeout = 10.0
            #     config.rpcs.create_dataset.timeout = 20.0
            #   end
            #
            # @!attribute [rw] endpoint
            #   A custom service endpoint, as a hostname or hostname:port. The default is
            #   nil, indicating to use the default endpoint in the current universe domain.
            #   @return [::String,nil]
            # @!attribute [rw] credentials
            #   Credentials to send with calls. You may provide any of the following types:
            #    *  (`String`) The path to a service account key file in JSON format
            #    *  (`Hash`) A service account key as a Hash
            #    *  (`Google::Auth::Credentials`) A googleauth credentials object
            #       (see the [googleauth docs](https://rubydoc.info/gems/googleauth/Google/Auth/Credentials))
            #    *  (`Signet::OAuth2::Client`) A signet oauth2 client object
            #       (see the [signet docs](https://rubydoc.info/gems/signet/Signet/OAuth2/Client))
            #    *  (`GRPC::Core::Channel`) a gRPC channel with included credentials
            #    *  (`GRPC::Core::ChannelCredentials`) a gRPC credentails object
            #    *  (`nil`) indicating no credentials
            #
            #   Warning: If you accept a credential configuration (JSON file or Hash) from an
            #   external source for authentication to Google Cloud, you must validate it before
            #   providing it to a Google API client library. Providing an unvalidated credential
            #   configuration to Google APIs can compromise the security of your systems and data.
            #   For more information, refer to [Validate credential configurations from external
            #   sources](https://cloud.google.com/docs/authentication/external/externally-sourced-credentials).
            #   @return [::Object]
            # @!attribute [rw] scope
            #   The OAuth scopes
            #   @return [::Array<::String>]
            # @!attribute [rw] lib_name
            #   The library name as recorded in instrumentation and logging
            #   @return [::String]
            # @!attribute [rw] lib_version
            #   The library version as recorded in instrumentation and logging
            #   @return [::String]
            # @!attribute [rw] channel_args
            #   Extra parameters passed to the gRPC channel. Note: this is ignored if a
            #   `GRPC::Core::Channel` object is provided as the credential.
            #   @return [::Hash]
            # @!attribute [rw] interceptors
            #   An array of interceptors that are run before calls are executed.
            #   @return [::Array<::GRPC::ClientInterceptor>]
            # @!attribute [rw] timeout
            #   The call timeout in seconds.
            #   @return [::Numeric]
            # @!attribute [rw] metadata
            #   Additional gRPC headers to be sent with the call.
            #   @return [::Hash{::Symbol=>::String}]
            # @!attribute [rw] retry_policy
            #   The retry policy. The value is a hash with the following keys:
            #    *  `:initial_delay` (*type:* `Numeric`) - The initial delay in seconds.
            #    *  `:max_delay` (*type:* `Numeric`) - The max delay in seconds.
            #    *  `:multiplier` (*type:* `Numeric`) - The incremental backoff multiplier.
            #    *  `:retry_codes` (*type:* `Array<String>`) - The error codes that should
            #       trigger a retry.
            #   @return [::Hash]
            # @!attribute [rw] quota_project
            #   A separate project against which to charge quota.
            #   @return [::String]
            # @!attribute [rw] universe_domain
            #   The universe domain within which to make requests. This determines the
            #   default endpoint URL. The default value of nil uses the environment
            #   universe (usually the default "googleapis.com" universe).
            #   @return [::String,nil]
            # @!attribute [rw] logger
            #   A custom logger to use for request/response debug logging, or the value
            #   `:default` (the default) to construct a default logger, or `nil` to
            #   explicitly disable logging.
            #   @return [::Logger,:default,nil]
            #
            class Configuration
              extend ::Gapic::Config

              # @private
              # The endpoint specific to the default "googleapis.com" universe. Deprecated.
              DEFAULT_ENDPOINT = "automl.googleapis.com"

              config_attr :endpoint,      nil, ::String, nil
              config_attr :credentials,   nil do |value|
                allowed = [::String, ::Hash, ::Proc, ::Symbol, ::Google::Auth::Credentials, ::Google::Auth::BaseClient, ::Signet::OAuth2::Client, nil]
                allowed += [::GRPC::Core::Channel, ::GRPC::Core::ChannelCredentials] if defined? ::GRPC::Core::Channel
                allowed.any? { |klass| klass === value }
              end
              config_attr :scope,         nil, ::String, ::Array, nil
              config_attr :lib_name,      nil, ::String, nil
              config_attr :lib_version,   nil, ::String, nil
              config_attr(:channel_args,  { "grpc.service_config_disable_resolution" => 1 }, ::Hash, nil)
              config_attr :interceptors,  nil, ::Array, nil
              config_attr :timeout,       nil, ::Numeric, nil
              config_attr :metadata,      nil, ::Hash, nil
              config_attr :retry_policy,  nil, ::Hash, ::Proc, nil
              config_attr :quota_project, nil, ::String, nil
              config_attr :universe_domain, nil, ::String, nil
              config_attr :logger, :default, ::Logger, nil, :default

              # @private
              def initialize parent_config = nil
                @parent_config = parent_config unless parent_config.nil?

                yield self if block_given?
              end

              ##
              # Configurations for individual RPCs
              # @return [Rpcs]
              #
              def rpcs
                @rpcs ||= begin
                  parent_rpcs = nil
                  parent_rpcs = @parent_config.rpcs if defined?(@parent_config) && @parent_config.respond_to?(:rpcs)
                  Rpcs.new parent_rpcs
                end
              end

              ##
              # Configuration for the channel pool
              # @return [::Gapic::ServiceStub::ChannelPool::Configuration]
              #
              def channel_pool
                @channel_pool ||= ::Gapic::ServiceStub::ChannelPool::Configuration.new
              end

              ##
              # Configuration RPC class for the AutoMl API.
              #
              # Includes fields providing the configuration for each RPC in this service.
              # Each configuration object is of type `Gapic::Config::Method` and includes
              # the following configuration fields:
              #
              #  *  `timeout` (*type:* `Numeric`) - The call timeout in seconds
              #  *  `metadata` (*type:* `Hash{Symbol=>String}`) - Additional gRPC headers
              #  *  `retry_policy (*type:* `Hash`) - The retry policy. The policy fields
              #     include the following keys:
              #      *  `:initial_delay` (*type:* `Numeric`) - The initial delay in seconds.
              #      *  `:max_delay` (*type:* `Numeric`) - The max delay in seconds.
              #      *  `:multiplier` (*type:* `Numeric`) - The incremental backoff multiplier.
              #      *  `:retry_codes` (*type:* `Array<String>`) - The error codes that should
              #         trigger a retry.
              #
              class Rpcs
                ##
                # RPC-specific configuration for `create_dataset`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :create_dataset
                ##
                # RPC-specific configuration for `get_dataset`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :get_dataset
                ##
                # RPC-specific configuration for `list_datasets`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :list_datasets
                ##
                # RPC-specific configuration for `update_dataset`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :update_dataset
                ##
                # RPC-specific configuration for `delete_dataset`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :delete_dataset
                ##
                # RPC-specific configuration for `import_data`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :import_data
                ##
                # RPC-specific configuration for `export_data`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :export_data
                ##
                # RPC-specific configuration for `get_annotation_spec`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :get_annotation_spec
                ##
                # RPC-specific configuration for `create_model`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :create_model
                ##
                # RPC-specific configuration for `get_model`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :get_model
                ##
                # RPC-specific configuration for `list_models`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :list_models
                ##
                # RPC-specific configuration for `delete_model`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :delete_model
                ##
                # RPC-specific configuration for `update_model`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :update_model
                ##
                # RPC-specific configuration for `deploy_model`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :deploy_model
                ##
                # RPC-specific configuration for `undeploy_model`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :undeploy_model
                ##
                # RPC-specific configuration for `export_model`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :export_model
                ##
                # RPC-specific configuration for `get_model_evaluation`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :get_model_evaluation
                ##
                # RPC-specific configuration for `list_model_evaluations`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :list_model_evaluations

                # @private
                def initialize parent_rpcs = nil
                  create_dataset_config = parent_rpcs.create_dataset if parent_rpcs.respond_to? :create_dataset
                  @create_dataset = ::Gapic::Config::Method.new create_dataset_config
                  get_dataset_config = parent_rpcs.get_dataset if parent_rpcs.respond_to? :get_dataset
                  @get_dataset = ::Gapic::Config::Method.new get_dataset_config
                  list_datasets_config = parent_rpcs.list_datasets if parent_rpcs.respond_to? :list_datasets
                  @list_datasets = ::Gapic::Config::Method.new list_datasets_config
                  update_dataset_config = parent_rpcs.update_dataset if parent_rpcs.respond_to? :update_dataset
                  @update_dataset = ::Gapic::Config::Method.new update_dataset_config
                  delete_dataset_config = parent_rpcs.delete_dataset if parent_rpcs.respond_to? :delete_dataset
                  @delete_dataset = ::Gapic::Config::Method.new delete_dataset_config
                  import_data_config = parent_rpcs.import_data if parent_rpcs.respond_to? :import_data
                  @import_data = ::Gapic::Config::Method.new import_data_config
                  export_data_config = parent_rpcs.export_data if parent_rpcs.respond_to? :export_data
                  @export_data = ::Gapic::Config::Method.new export_data_config
                  get_annotation_spec_config = parent_rpcs.get_annotation_spec if parent_rpcs.respond_to? :get_annotation_spec
                  @get_annotation_spec = ::Gapic::Config::Method.new get_annotation_spec_config
                  create_model_config = parent_rpcs.create_model if parent_rpcs.respond_to? :create_model
                  @create_model = ::Gapic::Config::Method.new create_model_config
                  get_model_config = parent_rpcs.get_model if parent_rpcs.respond_to? :get_model
                  @get_model = ::Gapic::Config::Method.new get_model_config
                  list_models_config = parent_rpcs.list_models if parent_rpcs.respond_to? :list_models
                  @list_models = ::Gapic::Config::Method.new list_models_config
                  delete_model_config = parent_rpcs.delete_model if parent_rpcs.respond_to? :delete_model
                  @delete_model = ::Gapic::Config::Method.new delete_model_config
                  update_model_config = parent_rpcs.update_model if parent_rpcs.respond_to? :update_model
                  @update_model = ::Gapic::Config::Method.new update_model_config
                  deploy_model_config = parent_rpcs.deploy_model if parent_rpcs.respond_to? :deploy_model
                  @deploy_model = ::Gapic::Config::Method.new deploy_model_config
                  undeploy_model_config = parent_rpcs.undeploy_model if parent_rpcs.respond_to? :undeploy_model
                  @undeploy_model = ::Gapic::Config::Method.new undeploy_model_config
                  export_model_config = parent_rpcs.export_model if parent_rpcs.respond_to? :export_model
                  @export_model = ::Gapic::Config::Method.new export_model_config
                  get_model_evaluation_config = parent_rpcs.get_model_evaluation if parent_rpcs.respond_to? :get_model_evaluation
                  @get_model_evaluation = ::Gapic::Config::Method.new get_model_evaluation_config
                  list_model_evaluations_config = parent_rpcs.list_model_evaluations if parent_rpcs.respond_to? :list_model_evaluations
                  @list_model_evaluations = ::Gapic::Config::Method.new list_model_evaluations_config

                  yield self if block_given?
                end
              end
            end
          end
        end
      end
    end
  end
end
