# frozen_string_literal: true

# Copyright 2022 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/aiplatform/v1/tensorboard_service_pb"

module Google
  module Cloud
    module AIPlatform
      module V1
        module TensorboardService
          ##
          # Client for the TensorboardService service.
          #
          # TensorboardService
          #
          class Client
            include Paths

            # @private
            attr_reader :tensorboard_service_stub

            ##
            # Configure the TensorboardService Client class.
            #
            # See {::Google::Cloud::AIPlatform::V1::TensorboardService::Client::Configuration}
            # for a description of the configuration fields.
            #
            # @example
            #
            #   # Modify the configuration for all TensorboardService clients
            #   ::Google::Cloud::AIPlatform::V1::TensorboardService::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", "AIPlatform", "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
              end
              yield @configure if block_given?
              @configure
            end

            ##
            # Configure the TensorboardService 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::AIPlatform::V1::TensorboardService::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

            ##
            # Create a new TensorboardService client object.
            #
            # @example
            #
            #   # Create a client using the default configuration
            #   client = ::Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a client using a custom configuration
            #   client = ::Google::Cloud::AIPlatform::V1::TensorboardService::Client.new do |config|
            #     config.timeout = 10.0
            #   end
            #
            # @yield [config] Configure the TensorboardService 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/aiplatform/v1/tensorboard_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 == Client.configure.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
              end

              @tensorboard_service_stub = ::Gapic::ServiceStub.new(
                ::Google::Cloud::AIPlatform::V1::TensorboardService::Stub,
                credentials:  credentials,
                endpoint:     @config.endpoint,
                channel_args: @config.channel_args,
                interceptors: @config.interceptors
              )
            end

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

            # Service calls

            ##
            # Creates a Tensorboard.
            #
            # @overload create_tensorboard(request, options = nil)
            #   Pass arguments to `create_tensorboard` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::CreateTensorboardRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::CreateTensorboardRequest, ::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_tensorboard(parent: nil, tensorboard: nil)
            #   Pass arguments to `create_tensorboard` 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 Location to create the Tensorboard in.
            #     Format: `projects/{project}/locations/{location}`
            #   @param tensorboard [::Google::Cloud::AIPlatform::V1::Tensorboard, ::Hash]
            #     Required. The Tensorboard 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/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::CreateTensorboardRequest.new
            #
            #   # Call the create_tensorboard method.
            #   result = client.create_tensorboard request
            #
            #   # The returned object is of type Gapic::Operation. You can use this
            #   # object to check the status of an operation, cancel it, or wait
            #   # for results. Here is how to block until completion:
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "Error!"
            #   end
            #
            def create_tensorboard request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateTensorboardRequest

              # 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_tensorboard.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.create_tensorboard.retry_policy

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

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

            ##
            # Gets a Tensorboard.
            #
            # @overload get_tensorboard(request, options = nil)
            #   Pass arguments to `get_tensorboard` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::GetTensorboardRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::GetTensorboardRequest, ::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_tensorboard(name: nil)
            #   Pass arguments to `get_tensorboard` 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 name of the Tensorboard resource.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::Tensorboard]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::Tensorboard]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::GetTensorboardRequest.new
            #
            #   # Call the get_tensorboard method.
            #   result = client.get_tensorboard request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::Tensorboard.
            #   p result
            #
            def get_tensorboard request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetTensorboardRequest

              # 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_tensorboard.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.get_tensorboard.retry_policy

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

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

            ##
            # Updates a Tensorboard.
            #
            # @overload update_tensorboard(request, options = nil)
            #   Pass arguments to `update_tensorboard` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::UpdateTensorboardRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::UpdateTensorboardRequest, ::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_tensorboard(update_mask: nil, tensorboard: nil)
            #   Pass arguments to `update_tensorboard` 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 update_mask [::Google::Protobuf::FieldMask, ::Hash]
            #     Required. Field mask is used to specify the fields to be overwritten in the
            #     Tensorboard resource by the update.
            #     The fields specified in the update_mask are relative to the resource, not
            #     the full request. A field will be overwritten if it is in the mask. If the
            #     user does not provide a mask then all fields will be overwritten if new
            #     values are specified.
            #   @param tensorboard [::Google::Cloud::AIPlatform::V1::Tensorboard, ::Hash]
            #     Required. The Tensorboard's `name` field is used to identify the
            #     Tensorboard to be updated. Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
            #
            # @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/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::UpdateTensorboardRequest.new
            #
            #   # Call the update_tensorboard method.
            #   result = client.update_tensorboard request
            #
            #   # The returned object is of type Gapic::Operation. You can use this
            #   # object to check the status of an operation, cancel it, or wait
            #   # for results. Here is how to block until completion:
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "Error!"
            #   end
            #
            def update_tensorboard request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::UpdateTensorboardRequest

              # 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_tensorboard.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.tensorboard&.name
                header_params["tensorboard.name"] = request.tensorboard.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_tensorboard.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.update_tensorboard.retry_policy

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

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

            ##
            # Lists Tensorboards in a Location.
            #
            # @overload list_tensorboards(request, options = nil)
            #   Pass arguments to `list_tensorboards` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::ListTensorboardsRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::ListTensorboardsRequest, ::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_tensorboards(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil)
            #   Pass arguments to `list_tensorboards` 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 Location to list Tensorboards.
            #     Format:
            #     `projects/{project}/locations/{location}`
            #   @param filter [::String]
            #     Lists the Tensorboards that match the filter expression.
            #   @param page_size [::Integer]
            #     The maximum number of Tensorboards to return. The service may return
            #     fewer than this value. If unspecified, at most 100 Tensorboards will be
            #     returned. The maximum value is 100; values above 100 will be coerced to
            #     100.
            #   @param page_token [::String]
            #     A page token, received from a previous
            #     {::Google::Cloud::AIPlatform::V1::TensorboardService::Client#list_tensorboards TensorboardService.ListTensorboards} call.
            #     Provide this to retrieve the subsequent page.
            #
            #     When paginating, all other parameters provided to
            #     {::Google::Cloud::AIPlatform::V1::TensorboardService::Client#list_tensorboards TensorboardService.ListTensorboards} must
            #     match the call that provided the page token.
            #   @param order_by [::String]
            #     Field to use to sort the list.
            #   @param read_mask [::Google::Protobuf::FieldMask, ::Hash]
            #     Mask specifying which fields to read.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Tensorboard>]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::Tensorboard>]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::ListTensorboardsRequest.new
            #
            #   # Call the list_tensorboards method.
            #   result = client.list_tensorboards request
            #
            #   # The returned object is of type Gapic::PagedEnumerable. You can
            #   # iterate over all elements by calling #each, and the enumerable
            #   # will lazily make API calls to fetch subsequent pages. Other
            #   # methods are also available for managing paging directly.
            #   result.each do |response|
            #     # Each element is of type ::Google::Cloud::AIPlatform::V1::Tensorboard.
            #     p response
            #   end
            #
            def list_tensorboards request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListTensorboardsRequest

              # 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_tensorboards.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboards.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.list_tensorboards.retry_policy

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

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

            ##
            # Deletes a Tensorboard.
            #
            # @overload delete_tensorboard(request, options = nil)
            #   Pass arguments to `delete_tensorboard` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::DeleteTensorboardRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::DeleteTensorboardRequest, ::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_tensorboard(name: nil)
            #   Pass arguments to `delete_tensorboard` 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 name of the Tensorboard to be deleted.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
            #
            # @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/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::DeleteTensorboardRequest.new
            #
            #   # Call the delete_tensorboard method.
            #   result = client.delete_tensorboard request
            #
            #   # The returned object is of type Gapic::Operation. You can use this
            #   # object to check the status of an operation, cancel it, or wait
            #   # for results. Here is how to block until completion:
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "Error!"
            #   end
            #
            def delete_tensorboard request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteTensorboardRequest

              # 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_tensorboard.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.delete_tensorboard.retry_policy

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

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

            ##
            # Creates a TensorboardExperiment.
            #
            # @overload create_tensorboard_experiment(request, options = nil)
            #   Pass arguments to `create_tensorboard_experiment` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::CreateTensorboardExperimentRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::CreateTensorboardExperimentRequest, ::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_tensorboard_experiment(parent: nil, tensorboard_experiment: nil, tensorboard_experiment_id: nil)
            #   Pass arguments to `create_tensorboard_experiment` 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 Tensorboard to create the TensorboardExperiment
            #     in. Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}`
            #   @param tensorboard_experiment [::Google::Cloud::AIPlatform::V1::TensorboardExperiment, ::Hash]
            #     The TensorboardExperiment to create.
            #   @param tensorboard_experiment_id [::String]
            #     Required. The ID to use for the Tensorboard experiment, which will become the final
            #     component of the Tensorboard experiment's resource name.
            #
            #     This value should be 1-128 characters, and valid characters
            #     are /[a-z][0-9]-/.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::TensorboardExperiment]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::TensorboardExperiment]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::CreateTensorboardExperimentRequest.new
            #
            #   # Call the create_tensorboard_experiment method.
            #   result = client.create_tensorboard_experiment request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::TensorboardExperiment.
            #   p result
            #
            def create_tensorboard_experiment request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateTensorboardExperimentRequest

              # 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_tensorboard_experiment.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_experiment.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.create_tensorboard_experiment.retry_policy

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

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

            ##
            # Gets a TensorboardExperiment.
            #
            # @overload get_tensorboard_experiment(request, options = nil)
            #   Pass arguments to `get_tensorboard_experiment` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::GetTensorboardExperimentRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::GetTensorboardExperimentRequest, ::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_tensorboard_experiment(name: nil)
            #   Pass arguments to `get_tensorboard_experiment` 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 name of the TensorboardExperiment resource.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::TensorboardExperiment]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::TensorboardExperiment]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::GetTensorboardExperimentRequest.new
            #
            #   # Call the get_tensorboard_experiment method.
            #   result = client.get_tensorboard_experiment request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::TensorboardExperiment.
            #   p result
            #
            def get_tensorboard_experiment request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetTensorboardExperimentRequest

              # 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_tensorboard_experiment.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_experiment.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.get_tensorboard_experiment.retry_policy

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

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

            ##
            # Updates a TensorboardExperiment.
            #
            # @overload update_tensorboard_experiment(request, options = nil)
            #   Pass arguments to `update_tensorboard_experiment` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::UpdateTensorboardExperimentRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::UpdateTensorboardExperimentRequest, ::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_tensorboard_experiment(update_mask: nil, tensorboard_experiment: nil)
            #   Pass arguments to `update_tensorboard_experiment` 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 update_mask [::Google::Protobuf::FieldMask, ::Hash]
            #     Required. Field mask is used to specify the fields to be overwritten in the
            #     TensorboardExperiment resource by the update.
            #     The fields specified in the update_mask are relative to the resource, not
            #     the full request. A field will be overwritten if it is in the mask. If the
            #     user does not provide a mask then all fields will be overwritten if new
            #     values are specified.
            #   @param tensorboard_experiment [::Google::Cloud::AIPlatform::V1::TensorboardExperiment, ::Hash]
            #     Required. The TensorboardExperiment's `name` field is used to identify the
            #     TensorboardExperiment to be updated. Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::TensorboardExperiment]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::TensorboardExperiment]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::UpdateTensorboardExperimentRequest.new
            #
            #   # Call the update_tensorboard_experiment method.
            #   result = client.update_tensorboard_experiment request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::TensorboardExperiment.
            #   p result
            #
            def update_tensorboard_experiment request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::UpdateTensorboardExperimentRequest

              # 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_tensorboard_experiment.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.tensorboard_experiment&.name
                header_params["tensorboard_experiment.name"] = request.tensorboard_experiment.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_tensorboard_experiment.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.update_tensorboard_experiment.retry_policy

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

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

            ##
            # Lists TensorboardExperiments in a Location.
            #
            # @overload list_tensorboard_experiments(request, options = nil)
            #   Pass arguments to `list_tensorboard_experiments` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::ListTensorboardExperimentsRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::ListTensorboardExperimentsRequest, ::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_tensorboard_experiments(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil)
            #   Pass arguments to `list_tensorboard_experiments` 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 Tensorboard to list TensorboardExperiments.
            #     Format:
            #     'projects/\\{project}/locations/\\{location}/tensorboards/\\{tensorboard}'
            #   @param filter [::String]
            #     Lists the TensorboardExperiments that match the filter expression.
            #   @param page_size [::Integer]
            #     The maximum number of TensorboardExperiments to return. The service may
            #     return fewer than this value. If unspecified, at most 50
            #     TensorboardExperiments will be returned. The maximum value is 1000; values
            #     above 1000 will be coerced to 1000.
            #   @param page_token [::String]
            #     A page token, received from a previous
            #     {::Google::Cloud::AIPlatform::V1::TensorboardService::Client#list_tensorboard_experiments TensorboardService.ListTensorboardExperiments} call.
            #     Provide this to retrieve the subsequent page.
            #
            #     When paginating, all other parameters provided to
            #     {::Google::Cloud::AIPlatform::V1::TensorboardService::Client#list_tensorboard_experiments TensorboardService.ListTensorboardExperiments} must
            #     match the call that provided the page token.
            #   @param order_by [::String]
            #     Field to use to sort the list.
            #   @param read_mask [::Google::Protobuf::FieldMask, ::Hash]
            #     Mask specifying which fields to read.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TensorboardExperiment>]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TensorboardExperiment>]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::ListTensorboardExperimentsRequest.new
            #
            #   # Call the list_tensorboard_experiments method.
            #   result = client.list_tensorboard_experiments request
            #
            #   # The returned object is of type Gapic::PagedEnumerable. You can
            #   # iterate over all elements by calling #each, and the enumerable
            #   # will lazily make API calls to fetch subsequent pages. Other
            #   # methods are also available for managing paging directly.
            #   result.each do |response|
            #     # Each element is of type ::Google::Cloud::AIPlatform::V1::TensorboardExperiment.
            #     p response
            #   end
            #
            def list_tensorboard_experiments request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListTensorboardExperimentsRequest

              # 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_tensorboard_experiments.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_experiments.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.list_tensorboard_experiments.retry_policy

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

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

            ##
            # Deletes a TensorboardExperiment.
            #
            # @overload delete_tensorboard_experiment(request, options = nil)
            #   Pass arguments to `delete_tensorboard_experiment` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::DeleteTensorboardExperimentRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::DeleteTensorboardExperimentRequest, ::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_tensorboard_experiment(name: nil)
            #   Pass arguments to `delete_tensorboard_experiment` 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 name of the TensorboardExperiment to be deleted.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
            #
            # @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/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::DeleteTensorboardExperimentRequest.new
            #
            #   # Call the delete_tensorboard_experiment method.
            #   result = client.delete_tensorboard_experiment request
            #
            #   # The returned object is of type Gapic::Operation. You can use this
            #   # object to check the status of an operation, cancel it, or wait
            #   # for results. Here is how to block until completion:
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "Error!"
            #   end
            #
            def delete_tensorboard_experiment request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteTensorboardExperimentRequest

              # 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_tensorboard_experiment.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_experiment.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.delete_tensorboard_experiment.retry_policy

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

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

            ##
            # Creates a TensorboardRun.
            #
            # @overload create_tensorboard_run(request, options = nil)
            #   Pass arguments to `create_tensorboard_run` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::CreateTensorboardRunRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::CreateTensorboardRunRequest, ::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_tensorboard_run(parent: nil, tensorboard_run: nil, tensorboard_run_id: nil)
            #   Pass arguments to `create_tensorboard_run` 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 TensorboardExperiment to create the TensorboardRun
            #     in. Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
            #   @param tensorboard_run [::Google::Cloud::AIPlatform::V1::TensorboardRun, ::Hash]
            #     Required. The TensorboardRun to create.
            #   @param tensorboard_run_id [::String]
            #     Required. The ID to use for the Tensorboard run, which will become the final
            #     component of the Tensorboard run's resource name.
            #
            #     This value should be 1-128 characters, and valid characters
            #     are /[a-z][0-9]-/.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::TensorboardRun]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::TensorboardRun]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::CreateTensorboardRunRequest.new
            #
            #   # Call the create_tensorboard_run method.
            #   result = client.create_tensorboard_run request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::TensorboardRun.
            #   p result
            #
            def create_tensorboard_run request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateTensorboardRunRequest

              # 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_tensorboard_run.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_run.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.create_tensorboard_run.retry_policy

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

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

            ##
            # Batch create TensorboardRuns.
            #
            # @overload batch_create_tensorboard_runs(request, options = nil)
            #   Pass arguments to `batch_create_tensorboard_runs` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::BatchCreateTensorboardRunsRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::BatchCreateTensorboardRunsRequest, ::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 batch_create_tensorboard_runs(parent: nil, requests: nil)
            #   Pass arguments to `batch_create_tensorboard_runs` 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 TensorboardExperiment to create the
            #     TensorboardRuns in. Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
            #     The parent field in the CreateTensorboardRunRequest messages must match
            #     this field.
            #   @param requests [::Array<::Google::Cloud::AIPlatform::V1::CreateTensorboardRunRequest, ::Hash>]
            #     Required. The request message specifying the TensorboardRuns to create.
            #     A maximum of 1000 TensorboardRuns can be created in a batch.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::BatchCreateTensorboardRunsResponse]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::BatchCreateTensorboardRunsResponse]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::BatchCreateTensorboardRunsRequest.new
            #
            #   # Call the batch_create_tensorboard_runs method.
            #   result = client.batch_create_tensorboard_runs request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::BatchCreateTensorboardRunsResponse.
            #   p result
            #
            def batch_create_tensorboard_runs request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::BatchCreateTensorboardRunsRequest

              # 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.batch_create_tensorboard_runs.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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.batch_create_tensorboard_runs.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.batch_create_tensorboard_runs.retry_policy

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

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

            ##
            # Gets a TensorboardRun.
            #
            # @overload get_tensorboard_run(request, options = nil)
            #   Pass arguments to `get_tensorboard_run` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::GetTensorboardRunRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::GetTensorboardRunRequest, ::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_tensorboard_run(name: nil)
            #   Pass arguments to `get_tensorboard_run` 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 name of the TensorboardRun resource.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::TensorboardRun]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::TensorboardRun]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::GetTensorboardRunRequest.new
            #
            #   # Call the get_tensorboard_run method.
            #   result = client.get_tensorboard_run request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::TensorboardRun.
            #   p result
            #
            def get_tensorboard_run request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetTensorboardRunRequest

              # 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_tensorboard_run.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_run.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.get_tensorboard_run.retry_policy

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

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

            ##
            # Updates a TensorboardRun.
            #
            # @overload update_tensorboard_run(request, options = nil)
            #   Pass arguments to `update_tensorboard_run` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::UpdateTensorboardRunRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::UpdateTensorboardRunRequest, ::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_tensorboard_run(update_mask: nil, tensorboard_run: nil)
            #   Pass arguments to `update_tensorboard_run` 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 update_mask [::Google::Protobuf::FieldMask, ::Hash]
            #     Required. Field mask is used to specify the fields to be overwritten in the
            #     TensorboardRun resource by the update.
            #     The fields specified in the update_mask are relative to the resource, not
            #     the full request. A field will be overwritten if it is in the mask. If the
            #     user does not provide a mask then all fields will be overwritten if new
            #     values are specified.
            #   @param tensorboard_run [::Google::Cloud::AIPlatform::V1::TensorboardRun, ::Hash]
            #     Required. The TensorboardRun's `name` field is used to identify the TensorboardRun to
            #     be updated. Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::TensorboardRun]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::TensorboardRun]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::UpdateTensorboardRunRequest.new
            #
            #   # Call the update_tensorboard_run method.
            #   result = client.update_tensorboard_run request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::TensorboardRun.
            #   p result
            #
            def update_tensorboard_run request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::UpdateTensorboardRunRequest

              # 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_tensorboard_run.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.tensorboard_run&.name
                header_params["tensorboard_run.name"] = request.tensorboard_run.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_tensorboard_run.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.update_tensorboard_run.retry_policy

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

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

            ##
            # Lists TensorboardRuns in a Location.
            #
            # @overload list_tensorboard_runs(request, options = nil)
            #   Pass arguments to `list_tensorboard_runs` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::ListTensorboardRunsRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::ListTensorboardRunsRequest, ::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_tensorboard_runs(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil)
            #   Pass arguments to `list_tensorboard_runs` 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 TensorboardExperiment to list TensorboardRuns.
            #     Format:
            #     'projects/\\{project}/locations/\\{location}/tensorboards/\\{tensorboard}/experiments/\\{experiment}'
            #   @param filter [::String]
            #     Lists the TensorboardRuns that match the filter expression.
            #   @param page_size [::Integer]
            #     The maximum number of TensorboardRuns to return. The service may return
            #     fewer than this value. If unspecified, at most 50 TensorboardRuns will be
            #     returned. The maximum value is 1000; values above 1000 will be coerced to
            #     1000.
            #   @param page_token [::String]
            #     A page token, received from a previous
            #     {::Google::Cloud::AIPlatform::V1::TensorboardService::Client#list_tensorboard_runs TensorboardService.ListTensorboardRuns} call.
            #     Provide this to retrieve the subsequent page.
            #
            #     When paginating, all other parameters provided to
            #     {::Google::Cloud::AIPlatform::V1::TensorboardService::Client#list_tensorboard_runs TensorboardService.ListTensorboardRuns} must
            #     match the call that provided the page token.
            #   @param order_by [::String]
            #     Field to use to sort the list.
            #   @param read_mask [::Google::Protobuf::FieldMask, ::Hash]
            #     Mask specifying which fields to read.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TensorboardRun>]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TensorboardRun>]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::ListTensorboardRunsRequest.new
            #
            #   # Call the list_tensorboard_runs method.
            #   result = client.list_tensorboard_runs request
            #
            #   # The returned object is of type Gapic::PagedEnumerable. You can
            #   # iterate over all elements by calling #each, and the enumerable
            #   # will lazily make API calls to fetch subsequent pages. Other
            #   # methods are also available for managing paging directly.
            #   result.each do |response|
            #     # Each element is of type ::Google::Cloud::AIPlatform::V1::TensorboardRun.
            #     p response
            #   end
            #
            def list_tensorboard_runs request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListTensorboardRunsRequest

              # 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_tensorboard_runs.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_runs.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.list_tensorboard_runs.retry_policy

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

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

            ##
            # Deletes a TensorboardRun.
            #
            # @overload delete_tensorboard_run(request, options = nil)
            #   Pass arguments to `delete_tensorboard_run` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::DeleteTensorboardRunRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::DeleteTensorboardRunRequest, ::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_tensorboard_run(name: nil)
            #   Pass arguments to `delete_tensorboard_run` 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 name of the TensorboardRun to be deleted.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
            #
            # @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/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::DeleteTensorboardRunRequest.new
            #
            #   # Call the delete_tensorboard_run method.
            #   result = client.delete_tensorboard_run request
            #
            #   # The returned object is of type Gapic::Operation. You can use this
            #   # object to check the status of an operation, cancel it, or wait
            #   # for results. Here is how to block until completion:
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "Error!"
            #   end
            #
            def delete_tensorboard_run request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteTensorboardRunRequest

              # 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_tensorboard_run.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_run.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.delete_tensorboard_run.retry_policy

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

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

            ##
            # Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
            #
            # @overload batch_create_tensorboard_time_series(request, options = nil)
            #   Pass arguments to `batch_create_tensorboard_time_series` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::BatchCreateTensorboardTimeSeriesRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::BatchCreateTensorboardTimeSeriesRequest, ::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 batch_create_tensorboard_time_series(parent: nil, requests: nil)
            #   Pass arguments to `batch_create_tensorboard_time_series` 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 TensorboardExperiment to create the
            #     TensorboardTimeSeries in.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
            #     The TensorboardRuns referenced by the parent fields in the
            #     CreateTensorboardTimeSeriesRequest messages must be sub resources of this
            #     TensorboardExperiment.
            #   @param requests [::Array<::Google::Cloud::AIPlatform::V1::CreateTensorboardTimeSeriesRequest, ::Hash>]
            #     Required. The request message specifying the TensorboardTimeSeries to create.
            #     A maximum of 1000 TensorboardTimeSeries can be created in a batch.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::BatchCreateTensorboardTimeSeriesResponse]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::BatchCreateTensorboardTimeSeriesResponse]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::BatchCreateTensorboardTimeSeriesRequest.new
            #
            #   # Call the batch_create_tensorboard_time_series method.
            #   result = client.batch_create_tensorboard_time_series request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::BatchCreateTensorboardTimeSeriesResponse.
            #   p result
            #
            def batch_create_tensorboard_time_series request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::BatchCreateTensorboardTimeSeriesRequest

              # 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.batch_create_tensorboard_time_series.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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.batch_create_tensorboard_time_series.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.batch_create_tensorboard_time_series.retry_policy

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

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

            ##
            # Creates a TensorboardTimeSeries.
            #
            # @overload create_tensorboard_time_series(request, options = nil)
            #   Pass arguments to `create_tensorboard_time_series` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::CreateTensorboardTimeSeriesRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::CreateTensorboardTimeSeriesRequest, ::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_tensorboard_time_series(parent: nil, tensorboard_time_series_id: nil, tensorboard_time_series: nil)
            #   Pass arguments to `create_tensorboard_time_series` 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 TensorboardRun to create the
            #     TensorboardTimeSeries in.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
            #   @param tensorboard_time_series_id [::String]
            #     Optional. The user specified unique ID to use for the TensorboardTimeSeries, which
            #     will become the final component of the TensorboardTimeSeries's resource
            #     name.
            #     This value should match "[a-z0-9][a-z0-9-]\\{0, 127}"
            #   @param tensorboard_time_series [::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries, ::Hash]
            #     Required. The TensorboardTimeSeries to create.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::CreateTensorboardTimeSeriesRequest.new
            #
            #   # Call the create_tensorboard_time_series method.
            #   result = client.create_tensorboard_time_series request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::TensorboardTimeSeries.
            #   p result
            #
            def create_tensorboard_time_series request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::CreateTensorboardTimeSeriesRequest

              # 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_tensorboard_time_series.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_time_series.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.create_tensorboard_time_series.retry_policy

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

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

            ##
            # Gets a TensorboardTimeSeries.
            #
            # @overload get_tensorboard_time_series(request, options = nil)
            #   Pass arguments to `get_tensorboard_time_series` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::GetTensorboardTimeSeriesRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::GetTensorboardTimeSeriesRequest, ::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_tensorboard_time_series(name: nil)
            #   Pass arguments to `get_tensorboard_time_series` 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 name of the TensorboardTimeSeries resource.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::GetTensorboardTimeSeriesRequest.new
            #
            #   # Call the get_tensorboard_time_series method.
            #   result = client.get_tensorboard_time_series request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::TensorboardTimeSeries.
            #   p result
            #
            def get_tensorboard_time_series request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::GetTensorboardTimeSeriesRequest

              # 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_tensorboard_time_series.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_time_series.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.get_tensorboard_time_series.retry_policy

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

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

            ##
            # Updates a TensorboardTimeSeries.
            #
            # @overload update_tensorboard_time_series(request, options = nil)
            #   Pass arguments to `update_tensorboard_time_series` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::UpdateTensorboardTimeSeriesRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::UpdateTensorboardTimeSeriesRequest, ::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_tensorboard_time_series(update_mask: nil, tensorboard_time_series: nil)
            #   Pass arguments to `update_tensorboard_time_series` 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 update_mask [::Google::Protobuf::FieldMask, ::Hash]
            #     Required. Field mask is used to specify the fields to be overwritten in the
            #     TensorboardTimeSeries resource by the update.
            #     The fields specified in the update_mask are relative to the resource, not
            #     the full request. A field will be overwritten if it is in the mask. If the
            #     user does not provide a mask then all fields will be overwritten if new
            #     values are specified.
            #   @param tensorboard_time_series [::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries, ::Hash]
            #     Required. The TensorboardTimeSeries' `name` field is used to identify the
            #     TensorboardTimeSeries to be updated.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::UpdateTensorboardTimeSeriesRequest.new
            #
            #   # Call the update_tensorboard_time_series method.
            #   result = client.update_tensorboard_time_series request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::TensorboardTimeSeries.
            #   p result
            #
            def update_tensorboard_time_series request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::UpdateTensorboardTimeSeriesRequest

              # 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_tensorboard_time_series.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.tensorboard_time_series&.name
                header_params["tensorboard_time_series.name"] = request.tensorboard_time_series.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_tensorboard_time_series.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.update_tensorboard_time_series.retry_policy

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

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

            ##
            # Lists TensorboardTimeSeries in a Location.
            #
            # @overload list_tensorboard_time_series(request, options = nil)
            #   Pass arguments to `list_tensorboard_time_series` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::ListTensorboardTimeSeriesRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::ListTensorboardTimeSeriesRequest, ::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_tensorboard_time_series(parent: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil, read_mask: nil)
            #   Pass arguments to `list_tensorboard_time_series` 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 TensorboardRun to list TensorboardTimeSeries.
            #     Format:
            #     'projects/\\{project}/locations/\\{location}/tensorboards/\\{tensorboard}/experiments/\\{experiment}/runs/\\{run}'
            #   @param filter [::String]
            #     Lists the TensorboardTimeSeries that match the filter expression.
            #   @param page_size [::Integer]
            #     The maximum number of TensorboardTimeSeries to return. The service may
            #     return fewer than this value. If unspecified, at most 50
            #     TensorboardTimeSeries will be returned. The maximum value is 1000; values
            #     above 1000 will be coerced to 1000.
            #   @param page_token [::String]
            #     A page token, received from a previous
            #     {::Google::Cloud::AIPlatform::V1::TensorboardService::Client#list_tensorboard_time_series TensorboardService.ListTensorboardTimeSeries} call.
            #     Provide this to retrieve the subsequent page.
            #
            #     When paginating, all other parameters provided to
            #     {::Google::Cloud::AIPlatform::V1::TensorboardService::Client#list_tensorboard_time_series TensorboardService.ListTensorboardTimeSeries} must
            #     match the call that provided the page token.
            #   @param order_by [::String]
            #     Field to use to sort the list.
            #   @param read_mask [::Google::Protobuf::FieldMask, ::Hash]
            #     Mask specifying which fields to read.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries>]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries>]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::ListTensorboardTimeSeriesRequest.new
            #
            #   # Call the list_tensorboard_time_series method.
            #   result = client.list_tensorboard_time_series request
            #
            #   # The returned object is of type Gapic::PagedEnumerable. You can
            #   # iterate over all elements by calling #each, and the enumerable
            #   # will lazily make API calls to fetch subsequent pages. Other
            #   # methods are also available for managing paging directly.
            #   result.each do |response|
            #     # Each element is of type ::Google::Cloud::AIPlatform::V1::TensorboardTimeSeries.
            #     p response
            #   end
            #
            def list_tensorboard_time_series request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ListTensorboardTimeSeriesRequest

              # 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_tensorboard_time_series.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_time_series.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.list_tensorboard_time_series.retry_policy

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

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

            ##
            # Deletes a TensorboardTimeSeries.
            #
            # @overload delete_tensorboard_time_series(request, options = nil)
            #   Pass arguments to `delete_tensorboard_time_series` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::DeleteTensorboardTimeSeriesRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::DeleteTensorboardTimeSeriesRequest, ::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_tensorboard_time_series(name: nil)
            #   Pass arguments to `delete_tensorboard_time_series` 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 name of the TensorboardTimeSeries to be deleted.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
            #
            # @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/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::DeleteTensorboardTimeSeriesRequest.new
            #
            #   # Call the delete_tensorboard_time_series method.
            #   result = client.delete_tensorboard_time_series request
            #
            #   # The returned object is of type Gapic::Operation. You can use this
            #   # object to check the status of an operation, cancel it, or wait
            #   # for results. Here is how to block until completion:
            #   result.wait_until_done! timeout: 60
            #   if result.response?
            #     p result.response
            #   else
            #     puts "Error!"
            #   end
            #
            def delete_tensorboard_time_series request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::DeleteTensorboardTimeSeriesRequest

              # 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_tensorboard_time_series.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              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_tensorboard_time_series.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.delete_tensorboard_time_series.retry_policy

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

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

            ##
            # Reads multiple TensorboardTimeSeries' data. The data point number limit is
            # 1000 for scalars, 100 for tensors and blob references. If the number of
            # data points stored is less than the limit, all data will be returned.
            # Otherwise, that limit number of data points will be randomly selected from
            # this time series and returned.
            #
            # @overload batch_read_tensorboard_time_series_data(request, options = nil)
            #   Pass arguments to `batch_read_tensorboard_time_series_data` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::BatchReadTensorboardTimeSeriesDataRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::BatchReadTensorboardTimeSeriesDataRequest, ::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 batch_read_tensorboard_time_series_data(tensorboard: nil, time_series: nil)
            #   Pass arguments to `batch_read_tensorboard_time_series_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 tensorboard [::String]
            #     Required. The resource name of the Tensorboard containing TensorboardTimeSeries to
            #     read data from. Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}`.
            #     The TensorboardTimeSeries referenced by {::Google::Cloud::AIPlatform::V1::BatchReadTensorboardTimeSeriesDataRequest#time_series time_series} must be sub
            #     resources of this Tensorboard.
            #   @param time_series [::Array<::String>]
            #     Required. The resource names of the TensorboardTimeSeries to read data from. Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::BatchReadTensorboardTimeSeriesDataResponse]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::BatchReadTensorboardTimeSeriesDataResponse]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::BatchReadTensorboardTimeSeriesDataRequest.new
            #
            #   # Call the batch_read_tensorboard_time_series_data method.
            #   result = client.batch_read_tensorboard_time_series_data request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::BatchReadTensorboardTimeSeriesDataResponse.
            #   p result
            #
            def batch_read_tensorboard_time_series_data request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::BatchReadTensorboardTimeSeriesDataRequest

              # 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.batch_read_tensorboard_time_series_data.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.tensorboard
                header_params["tensorboard"] = request.tensorboard
              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.batch_read_tensorboard_time_series_data.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.batch_read_tensorboard_time_series_data.retry_policy

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

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

            ##
            # Reads a TensorboardTimeSeries' data. By default, if the number of data
            # points stored is less than 1000, all data will be returned. Otherwise, 1000
            # data points will be randomly selected from this time series and returned.
            # This value can be changed by changing max_data_points, which can't be
            # greater than 10k.
            #
            # @overload read_tensorboard_time_series_data(request, options = nil)
            #   Pass arguments to `read_tensorboard_time_series_data` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::ReadTensorboardTimeSeriesDataRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::ReadTensorboardTimeSeriesDataRequest, ::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 read_tensorboard_time_series_data(tensorboard_time_series: nil, max_data_points: nil, filter: nil)
            #   Pass arguments to `read_tensorboard_time_series_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 tensorboard_time_series [::String]
            #     Required. The resource name of the TensorboardTimeSeries to read data from.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
            #   @param max_data_points [::Integer]
            #     The maximum number of TensorboardTimeSeries' data to return.
            #
            #     This value should be a positive integer.
            #     This value can be set to -1 to return all data.
            #   @param filter [::String]
            #     Reads the TensorboardTimeSeries' data that match the filter expression.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::ReadTensorboardTimeSeriesDataResponse]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::ReadTensorboardTimeSeriesDataResponse]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::ReadTensorboardTimeSeriesDataRequest.new
            #
            #   # Call the read_tensorboard_time_series_data method.
            #   result = client.read_tensorboard_time_series_data request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::ReadTensorboardTimeSeriesDataResponse.
            #   p result
            #
            def read_tensorboard_time_series_data request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ReadTensorboardTimeSeriesDataRequest

              # 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.read_tensorboard_time_series_data.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.tensorboard_time_series
                header_params["tensorboard_time_series"] = request.tensorboard_time_series
              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.read_tensorboard_time_series_data.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.read_tensorboard_time_series_data.retry_policy

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

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

            ##
            # Gets bytes of TensorboardBlobs.
            # This is to allow reading blob data stored in consumer project's Cloud
            # Storage bucket without users having to obtain Cloud Storage access
            # permission.
            #
            # @overload read_tensorboard_blob_data(request, options = nil)
            #   Pass arguments to `read_tensorboard_blob_data` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::ReadTensorboardBlobDataRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::ReadTensorboardBlobDataRequest, ::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 read_tensorboard_blob_data(time_series: nil, blob_ids: nil)
            #   Pass arguments to `read_tensorboard_blob_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 time_series [::String]
            #     Required. The resource name of the TensorboardTimeSeries to list Blobs.
            #     Format:
            #     'projects/\\{project}/locations/\\{location}/tensorboards/\\{tensorboard}/experiments/\\{experiment}/runs/\\{run}/timeSeries/\\{time_series}'
            #   @param blob_ids [::Array<::String>]
            #     IDs of the blobs to read.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Enumerable<::Google::Cloud::AIPlatform::V1::ReadTensorboardBlobDataResponse>]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Enumerable<::Google::Cloud::AIPlatform::V1::ReadTensorboardBlobDataResponse>]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::ReadTensorboardBlobDataRequest.new
            #
            #   # Call the read_tensorboard_blob_data method.
            #   result = client.read_tensorboard_blob_data request
            #
            #   # The returned object is a streamed enumerable yielding elements of
            #   # type ::Google::Cloud::AIPlatform::V1::ReadTensorboardBlobDataResponse.
            #   result.each do |response|
            #     p response
            #   end
            #
            def read_tensorboard_blob_data request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ReadTensorboardBlobDataRequest

              # 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.read_tensorboard_blob_data.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.time_series
                header_params["time_series"] = request.time_series
              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.read_tensorboard_blob_data.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.read_tensorboard_blob_data.retry_policy

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

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

            ##
            # Write time series data points of multiple TensorboardTimeSeries in multiple
            # TensorboardRun's. If any data fail to be ingested, an error will be
            # returned.
            #
            # @overload write_tensorboard_experiment_data(request, options = nil)
            #   Pass arguments to `write_tensorboard_experiment_data` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::WriteTensorboardExperimentDataRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::WriteTensorboardExperimentDataRequest, ::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 write_tensorboard_experiment_data(tensorboard_experiment: nil, write_run_data_requests: nil)
            #   Pass arguments to `write_tensorboard_experiment_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 tensorboard_experiment [::String]
            #     Required. The resource name of the TensorboardExperiment to write data to.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}`
            #   @param write_run_data_requests [::Array<::Google::Cloud::AIPlatform::V1::WriteTensorboardRunDataRequest, ::Hash>]
            #     Required. Requests containing per-run TensorboardTimeSeries data to write.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::WriteTensorboardExperimentDataResponse]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::WriteTensorboardExperimentDataResponse]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::WriteTensorboardExperimentDataRequest.new
            #
            #   # Call the write_tensorboard_experiment_data method.
            #   result = client.write_tensorboard_experiment_data request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::WriteTensorboardExperimentDataResponse.
            #   p result
            #
            def write_tensorboard_experiment_data request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::WriteTensorboardExperimentDataRequest

              # 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.write_tensorboard_experiment_data.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.tensorboard_experiment
                header_params["tensorboard_experiment"] = request.tensorboard_experiment
              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.write_tensorboard_experiment_data.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.write_tensorboard_experiment_data.retry_policy

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

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

            ##
            # Write time series data points into multiple TensorboardTimeSeries under
            # a TensorboardRun. If any data fail to be ingested, an error will be
            # returned.
            #
            # @overload write_tensorboard_run_data(request, options = nil)
            #   Pass arguments to `write_tensorboard_run_data` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::WriteTensorboardRunDataRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::WriteTensorboardRunDataRequest, ::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 write_tensorboard_run_data(tensorboard_run: nil, time_series_data: nil)
            #   Pass arguments to `write_tensorboard_run_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 tensorboard_run [::String]
            #     Required. The resource name of the TensorboardRun to write data to.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}`
            #   @param time_series_data [::Array<::Google::Cloud::AIPlatform::V1::TimeSeriesData, ::Hash>]
            #     Required. The TensorboardTimeSeries data to write.
            #     Values with in a time series are indexed by their step value.
            #     Repeated writes to the same step will overwrite the existing value for that
            #     step.
            #     The upper limit of data points per write request is 5000.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Google::Cloud::AIPlatform::V1::WriteTensorboardRunDataResponse]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Google::Cloud::AIPlatform::V1::WriteTensorboardRunDataResponse]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::WriteTensorboardRunDataRequest.new
            #
            #   # Call the write_tensorboard_run_data method.
            #   result = client.write_tensorboard_run_data request
            #
            #   # The returned object is of type Google::Cloud::AIPlatform::V1::WriteTensorboardRunDataResponse.
            #   p result
            #
            def write_tensorboard_run_data request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::WriteTensorboardRunDataRequest

              # 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.write_tensorboard_run_data.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.tensorboard_run
                header_params["tensorboard_run"] = request.tensorboard_run
              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.write_tensorboard_run_data.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.write_tensorboard_run_data.retry_policy

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

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

            ##
            # Exports a TensorboardTimeSeries' data. Data is returned in paginated
            # responses.
            #
            # @overload export_tensorboard_time_series_data(request, options = nil)
            #   Pass arguments to `export_tensorboard_time_series_data` via a request object, either of type
            #   {::Google::Cloud::AIPlatform::V1::ExportTensorboardTimeSeriesDataRequest} or an equivalent Hash.
            #
            #   @param request [::Google::Cloud::AIPlatform::V1::ExportTensorboardTimeSeriesDataRequest, ::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_tensorboard_time_series_data(tensorboard_time_series: nil, filter: nil, page_size: nil, page_token: nil, order_by: nil)
            #   Pass arguments to `export_tensorboard_time_series_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 tensorboard_time_series [::String]
            #     Required. The resource name of the TensorboardTimeSeries to export data from.
            #     Format:
            #     `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
            #   @param filter [::String]
            #     Exports the TensorboardTimeSeries' data that match the filter expression.
            #   @param page_size [::Integer]
            #     The maximum number of data points to return per page.
            #     The default page_size will be 1000. Values must be between 1 and 10000.
            #     Values above 10000 will be coerced to 10000.
            #   @param page_token [::String]
            #     A page token, received from a previous
            #     [TensorboardService.ExportTensorboardTimeSeries][] call.
            #     Provide this to retrieve the subsequent page.
            #
            #     When paginating, all other parameters provided to
            #     [TensorboardService.ExportTensorboardTimeSeries][] must
            #     match the call that provided the page token.
            #   @param order_by [::String]
            #     Field to use to sort the TensorboardTimeSeries' data.
            #     By default, TensorboardTimeSeries' data will be returned in a pseudo random
            #     order.
            #
            # @yield [response, operation] Access the result along with the RPC operation
            # @yieldparam response [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TimeSeriesDataPoint>]
            # @yieldparam operation [::GRPC::ActiveCall::Operation]
            #
            # @return [::Gapic::PagedEnumerable<::Google::Cloud::AIPlatform::V1::TimeSeriesDataPoint>]
            #
            # @raise [::Google::Cloud::Error] if the RPC is aborted.
            #
            # @example Basic example
            #   require "google/cloud/ai_platform/v1"
            #
            #   # Create a client object. The client can be reused for multiple calls.
            #   client = Google::Cloud::AIPlatform::V1::TensorboardService::Client.new
            #
            #   # Create a request. To set request fields, pass in keyword arguments.
            #   request = Google::Cloud::AIPlatform::V1::ExportTensorboardTimeSeriesDataRequest.new
            #
            #   # Call the export_tensorboard_time_series_data method.
            #   result = client.export_tensorboard_time_series_data request
            #
            #   # The returned object is of type Gapic::PagedEnumerable. You can
            #   # iterate over all elements by calling #each, and the enumerable
            #   # will lazily make API calls to fetch subsequent pages. Other
            #   # methods are also available for managing paging directly.
            #   result.each do |response|
            #     # Each element is of type ::Google::Cloud::AIPlatform::V1::TimeSeriesDataPoint.
            #     p response
            #   end
            #
            def export_tensorboard_time_series_data request, options = nil
              raise ::ArgumentError, "request must be provided" if request.nil?

              request = ::Gapic::Protobuf.coerce request, to: ::Google::Cloud::AIPlatform::V1::ExportTensorboardTimeSeriesDataRequest

              # 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_tensorboard_time_series_data.metadata.to_h

              # Set x-goog-api-client and x-goog-user-project 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::AIPlatform::V1::VERSION
              metadata[:"x-goog-user-project"] = @quota_project_id if @quota_project_id

              header_params = {}
              if request.tensorboard_time_series
                header_params["tensorboard_time_series"] = request.tensorboard_time_series
              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_tensorboard_time_series_data.timeout,
                                     metadata:     metadata,
                                     retry_policy: @config.rpcs.export_tensorboard_time_series_data.retry_policy

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

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

            ##
            # Configuration class for the TensorboardService API.
            #
            # This class represents the configuration for TensorboardService,
            # 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::AIPlatform::V1::TensorboardService::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_tensorboard to 20 seconds,
            #   # and all remaining timeouts to 10 seconds.
            #   ::Google::Cloud::AIPlatform::V1::TensorboardService::Client.configure do |config|
            #     config.timeout = 10.0
            #     config.rpcs.create_tensorboard.timeout = 20.0
            #   end
            #
            #   # Apply the above configuration only to a new client.
            #   client = ::Google::Cloud::AIPlatform::V1::TensorboardService::Client.new do |config|
            #     config.timeout = 10.0
            #     config.rpcs.create_tensorboard.timeout = 20.0
            #   end
            #
            # @!attribute [rw] endpoint
            #   The hostname or hostname:port of the service endpoint.
            #   Defaults to `"aiplatform.googleapis.com"`.
            #   @return [::String]
            # @!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://googleapis.dev/ruby/googleauth/latest/index.html))
            #    *  (`Signet::OAuth2::Client`) A signet oauth2 client object
            #       (see the [signet docs](https://googleapis.dev/ruby/signet/latest/Signet/OAuth2/Client.html))
            #    *  (`GRPC::Core::Channel`) a gRPC channel with included credentials
            #    *  (`GRPC::Core::ChannelCredentials`) a gRPC credentails object
            #    *  (`nil`) indicating no 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]
            #
            class Configuration
              extend ::Gapic::Config

              config_attr :endpoint,      "aiplatform.googleapis.com", ::String
              config_attr :credentials,   nil do |value|
                allowed = [::String, ::Hash, ::Proc, ::Symbol, ::Google::Auth::Credentials, ::Signet::OAuth2::Client, nil]
                allowed += [::GRPC::Core::Channel, ::GRPC::Core::ChannelCredentials] if defined? ::GRPC
                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

              # @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 RPC class for the TensorboardService 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_tensorboard`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :create_tensorboard
                ##
                # RPC-specific configuration for `get_tensorboard`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :get_tensorboard
                ##
                # RPC-specific configuration for `update_tensorboard`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :update_tensorboard
                ##
                # RPC-specific configuration for `list_tensorboards`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :list_tensorboards
                ##
                # RPC-specific configuration for `delete_tensorboard`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :delete_tensorboard
                ##
                # RPC-specific configuration for `create_tensorboard_experiment`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :create_tensorboard_experiment
                ##
                # RPC-specific configuration for `get_tensorboard_experiment`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :get_tensorboard_experiment
                ##
                # RPC-specific configuration for `update_tensorboard_experiment`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :update_tensorboard_experiment
                ##
                # RPC-specific configuration for `list_tensorboard_experiments`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :list_tensorboard_experiments
                ##
                # RPC-specific configuration for `delete_tensorboard_experiment`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :delete_tensorboard_experiment
                ##
                # RPC-specific configuration for `create_tensorboard_run`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :create_tensorboard_run
                ##
                # RPC-specific configuration for `batch_create_tensorboard_runs`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :batch_create_tensorboard_runs
                ##
                # RPC-specific configuration for `get_tensorboard_run`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :get_tensorboard_run
                ##
                # RPC-specific configuration for `update_tensorboard_run`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :update_tensorboard_run
                ##
                # RPC-specific configuration for `list_tensorboard_runs`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :list_tensorboard_runs
                ##
                # RPC-specific configuration for `delete_tensorboard_run`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :delete_tensorboard_run
                ##
                # RPC-specific configuration for `batch_create_tensorboard_time_series`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :batch_create_tensorboard_time_series
                ##
                # RPC-specific configuration for `create_tensorboard_time_series`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :create_tensorboard_time_series
                ##
                # RPC-specific configuration for `get_tensorboard_time_series`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :get_tensorboard_time_series
                ##
                # RPC-specific configuration for `update_tensorboard_time_series`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :update_tensorboard_time_series
                ##
                # RPC-specific configuration for `list_tensorboard_time_series`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :list_tensorboard_time_series
                ##
                # RPC-specific configuration for `delete_tensorboard_time_series`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :delete_tensorboard_time_series
                ##
                # RPC-specific configuration for `batch_read_tensorboard_time_series_data`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :batch_read_tensorboard_time_series_data
                ##
                # RPC-specific configuration for `read_tensorboard_time_series_data`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :read_tensorboard_time_series_data
                ##
                # RPC-specific configuration for `read_tensorboard_blob_data`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :read_tensorboard_blob_data
                ##
                # RPC-specific configuration for `write_tensorboard_experiment_data`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :write_tensorboard_experiment_data
                ##
                # RPC-specific configuration for `write_tensorboard_run_data`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :write_tensorboard_run_data
                ##
                # RPC-specific configuration for `export_tensorboard_time_series_data`
                # @return [::Gapic::Config::Method]
                #
                attr_reader :export_tensorboard_time_series_data

                # @private
                def initialize parent_rpcs = nil
                  create_tensorboard_config = parent_rpcs.create_tensorboard if parent_rpcs.respond_to? :create_tensorboard
                  @create_tensorboard = ::Gapic::Config::Method.new create_tensorboard_config
                  get_tensorboard_config = parent_rpcs.get_tensorboard if parent_rpcs.respond_to? :get_tensorboard
                  @get_tensorboard = ::Gapic::Config::Method.new get_tensorboard_config
                  update_tensorboard_config = parent_rpcs.update_tensorboard if parent_rpcs.respond_to? :update_tensorboard
                  @update_tensorboard = ::Gapic::Config::Method.new update_tensorboard_config
                  list_tensorboards_config = parent_rpcs.list_tensorboards if parent_rpcs.respond_to? :list_tensorboards
                  @list_tensorboards = ::Gapic::Config::Method.new list_tensorboards_config
                  delete_tensorboard_config = parent_rpcs.delete_tensorboard if parent_rpcs.respond_to? :delete_tensorboard
                  @delete_tensorboard = ::Gapic::Config::Method.new delete_tensorboard_config
                  create_tensorboard_experiment_config = parent_rpcs.create_tensorboard_experiment if parent_rpcs.respond_to? :create_tensorboard_experiment
                  @create_tensorboard_experiment = ::Gapic::Config::Method.new create_tensorboard_experiment_config
                  get_tensorboard_experiment_config = parent_rpcs.get_tensorboard_experiment if parent_rpcs.respond_to? :get_tensorboard_experiment
                  @get_tensorboard_experiment = ::Gapic::Config::Method.new get_tensorboard_experiment_config
                  update_tensorboard_experiment_config = parent_rpcs.update_tensorboard_experiment if parent_rpcs.respond_to? :update_tensorboard_experiment
                  @update_tensorboard_experiment = ::Gapic::Config::Method.new update_tensorboard_experiment_config
                  list_tensorboard_experiments_config = parent_rpcs.list_tensorboard_experiments if parent_rpcs.respond_to? :list_tensorboard_experiments
                  @list_tensorboard_experiments = ::Gapic::Config::Method.new list_tensorboard_experiments_config
                  delete_tensorboard_experiment_config = parent_rpcs.delete_tensorboard_experiment if parent_rpcs.respond_to? :delete_tensorboard_experiment
                  @delete_tensorboard_experiment = ::Gapic::Config::Method.new delete_tensorboard_experiment_config
                  create_tensorboard_run_config = parent_rpcs.create_tensorboard_run if parent_rpcs.respond_to? :create_tensorboard_run
                  @create_tensorboard_run = ::Gapic::Config::Method.new create_tensorboard_run_config
                  batch_create_tensorboard_runs_config = parent_rpcs.batch_create_tensorboard_runs if parent_rpcs.respond_to? :batch_create_tensorboard_runs
                  @batch_create_tensorboard_runs = ::Gapic::Config::Method.new batch_create_tensorboard_runs_config
                  get_tensorboard_run_config = parent_rpcs.get_tensorboard_run if parent_rpcs.respond_to? :get_tensorboard_run
                  @get_tensorboard_run = ::Gapic::Config::Method.new get_tensorboard_run_config
                  update_tensorboard_run_config = parent_rpcs.update_tensorboard_run if parent_rpcs.respond_to? :update_tensorboard_run
                  @update_tensorboard_run = ::Gapic::Config::Method.new update_tensorboard_run_config
                  list_tensorboard_runs_config = parent_rpcs.list_tensorboard_runs if parent_rpcs.respond_to? :list_tensorboard_runs
                  @list_tensorboard_runs = ::Gapic::Config::Method.new list_tensorboard_runs_config
                  delete_tensorboard_run_config = parent_rpcs.delete_tensorboard_run if parent_rpcs.respond_to? :delete_tensorboard_run
                  @delete_tensorboard_run = ::Gapic::Config::Method.new delete_tensorboard_run_config
                  batch_create_tensorboard_time_series_config = parent_rpcs.batch_create_tensorboard_time_series if parent_rpcs.respond_to? :batch_create_tensorboard_time_series
                  @batch_create_tensorboard_time_series = ::Gapic::Config::Method.new batch_create_tensorboard_time_series_config
                  create_tensorboard_time_series_config = parent_rpcs.create_tensorboard_time_series if parent_rpcs.respond_to? :create_tensorboard_time_series
                  @create_tensorboard_time_series = ::Gapic::Config::Method.new create_tensorboard_time_series_config
                  get_tensorboard_time_series_config = parent_rpcs.get_tensorboard_time_series if parent_rpcs.respond_to? :get_tensorboard_time_series
                  @get_tensorboard_time_series = ::Gapic::Config::Method.new get_tensorboard_time_series_config
                  update_tensorboard_time_series_config = parent_rpcs.update_tensorboard_time_series if parent_rpcs.respond_to? :update_tensorboard_time_series
                  @update_tensorboard_time_series = ::Gapic::Config::Method.new update_tensorboard_time_series_config
                  list_tensorboard_time_series_config = parent_rpcs.list_tensorboard_time_series if parent_rpcs.respond_to? :list_tensorboard_time_series
                  @list_tensorboard_time_series = ::Gapic::Config::Method.new list_tensorboard_time_series_config
                  delete_tensorboard_time_series_config = parent_rpcs.delete_tensorboard_time_series if parent_rpcs.respond_to? :delete_tensorboard_time_series
                  @delete_tensorboard_time_series = ::Gapic::Config::Method.new delete_tensorboard_time_series_config
                  batch_read_tensorboard_time_series_data_config = parent_rpcs.batch_read_tensorboard_time_series_data if parent_rpcs.respond_to? :batch_read_tensorboard_time_series_data
                  @batch_read_tensorboard_time_series_data = ::Gapic::Config::Method.new batch_read_tensorboard_time_series_data_config
                  read_tensorboard_time_series_data_config = parent_rpcs.read_tensorboard_time_series_data if parent_rpcs.respond_to? :read_tensorboard_time_series_data
                  @read_tensorboard_time_series_data = ::Gapic::Config::Method.new read_tensorboard_time_series_data_config
                  read_tensorboard_blob_data_config = parent_rpcs.read_tensorboard_blob_data if parent_rpcs.respond_to? :read_tensorboard_blob_data
                  @read_tensorboard_blob_data = ::Gapic::Config::Method.new read_tensorboard_blob_data_config
                  write_tensorboard_experiment_data_config = parent_rpcs.write_tensorboard_experiment_data if parent_rpcs.respond_to? :write_tensorboard_experiment_data
                  @write_tensorboard_experiment_data = ::Gapic::Config::Method.new write_tensorboard_experiment_data_config
                  write_tensorboard_run_data_config = parent_rpcs.write_tensorboard_run_data if parent_rpcs.respond_to? :write_tensorboard_run_data
                  @write_tensorboard_run_data = ::Gapic::Config::Method.new write_tensorboard_run_data_config
                  export_tensorboard_time_series_data_config = parent_rpcs.export_tensorboard_time_series_data if parent_rpcs.respond_to? :export_tensorboard_time_series_data
                  @export_tensorboard_time_series_data = ::Gapic::Config::Method.new export_tensorboard_time_series_data_config

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