text: # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
  import grpc
  
  from tensorflow_serving.apis import configuration_pb2 as tensorflow__serving_dot_apis_dot_configuration__pb2
  
  
  class ConfigurationServiceStub(object):
    """open source marker; do not remove
    ConfigureService provides the facility to configure the server
    at runtime
    """
  
    def __init__(self, channel):
      """Constructor.
  
      Args:
        channel: A grpc.Channel.
      """
      self.Configure = channel.unary_unary(
          '/tensorflow.serving.ConfigurationService/Configure',
          request_serializer=tensorflow__serving_dot_apis_dot_configuration__pb2.ConfigurationRequest.SerializeToString,
          response_deserializer=tensorflow__serving_dot_apis_dot_configuration__pb2.ConfigurationResponse.FromString,
          )
  
  
  class ConfigurationServiceServicer(object):
    """open source marker; do not remove
    ConfigureService provides the facility to configure the server
    at runtime
    """
  
    def Configure(self, request, context):
      """Configure -- Configures a Service.
      """
      context.set_code(grpc.StatusCode.UNIMPLEMENTED)
      context.set_details('Method not implemented!')
      raise NotImplementedError('Method not implemented!')
  
  
  def add_ConfigurationServiceServicer_to_server(servicer, server):
    rpc_method_handlers = {
        'Configure': grpc.unary_unary_rpc_method_handler(
            servicer.Configure,
            request_deserializer=tensorflow__serving_dot_apis_dot_configuration__pb2.ConfigurationRequest.FromString,
            response_serializer=tensorflow__serving_dot_apis_dot_configuration__pb2.ConfigurationResponse.SerializeToString,
        ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
        'tensorflow.serving.ConfigurationService', rpc_method_handlers)
    server.add_generic_rpc_handlers((generic_handler,))
  