var errErasureV3ThisEmpty = fmt.Errorf("Erasure format version 3 has This field empty")

// isServerResolvable - checks if the endpoint is resolvable
// by sending a naked HTTP request with liveness checks.
func isServerResolvable(endpoint Endpoint, timeout time.Duration) error {
	serverURL := &url.URL{
		Scheme: endpoint.Scheme,
		Host:   endpoint.Host,

	Scheme          string
	Online          bool
	lastOnline      time.Time
	lastHCAt        time.Time
	offlineDuration time.Duration
	latency         latencyStat
}

// isOffline returns current liveness result of remote target. Add endpoint to
// healthCheck map if missing and default to online status
func (sys *BucketTargetSys) isOffline(ep *url.URL) bool {
	sys.hMutex.RLock()
	defer sys.hMutex.RUnlock()

  // context and TF server for multi-client execution.
  virtual absl::Status EnableCollectiveOps(const ServerDef& server_def) = 0;

  // Set a distributed manager that helps set up, update, and check liveness
  // of member tasks in the cluster.
  virtual void SetDistributedManager(
      std::unique_ptr<ImmediateExecutionDistributedManager> distributed) = 0;

readinessProbe | [readiness probes](https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/)
replicaCount | [replica count](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/)
hpaSpec | [HorizontalPodAutoscaler](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/)

    status->status = tensorflow::errors::NotFound(
        op_name, " does not have number_attr() defined.");
    return nullptr;
  }

  // The returned string is owned by OpRegistry, so liveness is not a concern.
  return input_arg.number_attr().c_str();
}

int TF_OpIsStateful(const char* op_type, TF_Status* status) {
  const tensorflow::OpRegistrationData* op_reg_data;
  status->status =

  * Liveness and readiness probes now support more configuration parameters:
periodSeconds, successThreshold, failureThreshold
  * The new ReplicaSet API (Beta) in the Extensions API group is similar to