namespace tensorflow {
namespace parallel_device {

// Allocate a parallel device named `device_name` which forwards operations to
// `underlying_devices`, maintaining "parallel tensors" with components placed
// on each underlying device.
//
// For example if `device_name` is
//   "/job:localhost/replica:0/task:0/device:CUSTOM:0"
// and `underlying_devices` is

# /---------------------------------------------------------------------------
# lastafluteMap: (NotRequired - Default map:{})
#
# Specification:
# map:{
#     ; serviceName = [your service name]
#     ; domainPackage = [package]
#     ; environmentList = list:{ [environment name] }
#     ; isMakeActionHtml = [true or false]
#     ; commonMap = map:{
#         ; path = [relative path to common project from DBFlute client]

  private final Supplier<String> threadNameSupplier = new ThreadNameSupplier();

  @WeakOuter
  private final class ThreadNameSupplier implements Supplier<String> {
    @Override
    public String get() {
      return serviceName() + " " + state();
    }
  }

  /* use AbstractService for state management */
  private final Service delegate = new DelegateService();

  @WeakOuter

  TFE_OpSetAttrShape(op, "shape", {}, 0, status);
  TFE_OpSetAttrString(op, "container", "localhost", 0);
  TFE_OpSetAttrString(op, "shared_name", "", 0);
  if (!device_name.empty()) {
    TFE_OpSetDevice(op, device_name.c_str(), status);
  }
  if (TF_GetCode(status) != TF_OK) return nullptr;
  TFE_TensorHandle* var_handle = nullptr;
  int num_retvals = 1;
  TFE_Execute(op, &var_handle, &num_retvals, status);

	w := c.tabwriter()
	d := c.ztunnelDump
	serviceNames := map[string]string{}
	workloadNames := map[string]string{}
	for _, s := range d.Services {
		var ip string
		if len(s.Addresses) != 0 {
			_, ip, _ = strings.Cut(s.Addresses[0], "/")
		}
		if ip == "" {
			// fallback to None when a service does not have a VIP
			ip = "None"
		}
		serviceNames[ip] = s.Hostname
	}
	for _, s := range d.Workloads {

#include "tensorflow/c/tf_status.h"
#include "tensorflow/core/lib/gtl/cleanup.h"
#include "tensorflow/core/platform/test.h"

namespace {

struct LoggingDevice {
  tensorflow::string device_name;
  tensorflow::string underlying_device;
  // Set to true whenever a TensorHandle is copied onto the device
  bool* arrived_flag;
  // Set to true whenever an operation is executed
  bool* executed_flag;

	if len(args) != 0 {
		return nil, cobra.ShellCompDirectiveNoFileComp
	}

	servicesName, err := getServicesName(ctx, toComplete)
	if err != nil {
		return nil, cobra.ShellCompDirectiveNoFileComp
	}
	return servicesName, cobra.ShellCompDirectiveNoFileComp
}

func getNamespacesName(kubeClient kube.CLIClient, toComplete string) ([]string, error) {

  // +optional
  optional IngressStatus status = 3;
}

// IngressBackend describes all endpoints for a given service and port.
message IngressBackend {
  // serviceName specifies the name of the referenced service.
  // +optional
  optional string serviceName = 1;

  // servicePort Specifies the port of the referenced service.
  // +optional
  optional k8s.io.apimachinery.pkg.util.intstr.IntOrString servicePort = 2;

  //===--------------------------------------------------------------------===//
  virtual CustomDeviceOpHandler& GetCustomDeviceOpHandler() = 0;

  // Returns whether `device_name` is registered as a custom device.
  virtual bool IsCustomDevice(const string& device_name) = 0;

  // Register a custom device. It will return error is the device name is
  // already registered.

  const char* second_device = "/job:worker/replica:0/task:2/device:CPU:0";
  const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0";
  std::array<const char*, 2> underlying_devices{first_device, second_device};
  RegisterParallelDevice(context.get(), device_name, underlying_devices,
                         status.get());