"eds_cluster_config": {
              "eds_config": {
                "ads": {},
                "initial_fetch_timeout": "0s",
                "resource_api_version": "V3"
              },
              "service_name": "inbound-vip|9080|http|ratings.default.svc.cluster.local"
            },
            "transport_socket": {
              "name": "internal_upstream",
              "typed_config": {

            "eds_cluster_config": {
              "eds_config": {
                "ads": {},
                "initial_fetch_timeout": "0s",
                "resource_api_version": "V3"
              },
              "service_name": "inbound-vip|8000|http|httpbin.default.svc.cluster.local"
            },
            "transport_socket": {
              "name": "internal_upstream",
              "typed_config": {

      cpu_value.get(), context.get(), device_name, status.get()));
  EXPECT_EQ(TF_GetCode(status.get()), TF_UNIMPLEMENTED);

  std::array<TFE_TensorHandle*, 2> components{cpu_value.get(), cpu_value.get()};
  TensorHandlePtr device_value = CreatePerDeviceValues(
      context.get(), components, device_name, status.get());
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

   * to the string returned by {@link #serviceName}
   */
  protected Executor executor() {
    return command -> MoreExecutors.newThread(serviceName(), command).start();
  }

  @Override
  public String toString() {
    return serviceName() + " [" + state() + "]";
  }

  @Override
  public final boolean isRunning() {

}
}  // namespace

extern "C" {

bool TFE_IsCustomDevice(TFE_Context* ctx, const char* device_name) {
  return tensorflow::unwrap(ctx)->IsCustomDevice(device_name);
}

void TFE_RegisterCustomDevice(TFE_Context* ctx, TFE_CustomDevice device,
                              const char* device_name, void* device_info,
                              TF_Status* status) {

  }
  absl::Status s;
  const char* device_name = DeviceName(&s);
  if (!s.ok()) {
    device_name = "<error fetching device name>";
  }
  return absl::StrCat("TensorHandle(", value_string, ", shape=", shape_string,
                      ", dtype=", DataType_Name(DataType()), ", device=\"",
                      device_name, "\")");
}

absl::Status ImmediateExecutionTensorHandle::SummarizeValue(

  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 {

	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;