}
                else {
                    dc = nameServiceClient.getByName(server, possibleWorkgroup);
                }

                req.getSession(); /* ensure session id is set for cluster env. */
                challenge = getTransportContext().getTransportPool().getChallenge(getTransportContext(), dc);
                if ( ( ntlm = NtlmSsp.authenticate(getTransportContext(), req, resp, challenge) ) == null ) {

#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/platform/tstring.h"
#include "tensorflow/core/protobuf/cluster.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include "tensorflow/core/protobuf/rewriter_config.pb.h"
#include "tensorflow/core/util/port.h"

using tensorflow::string;
using tensorflow::tstring;

### SIG Network

For 1.13, the areas of focus were in IPv6, DNS improvements and some smaller items:
CoreDNS is now the default cluster DNS passing all of the scale/resource usage tests

	// Captures help for each sub-system
	helpSubSys := config.HelpKVS{
		config.HelpKV{
			Key:         config.SubnetSubSys,
			Type:        "string",
			Description: "register Enterprise license for the cluster",
			Optional:    true,
		},
		config.HelpKV{
			Key:         config.CallhomeSubSys,
			Type:        "string",
			Description: "enable callhome to MinIO SUBNET",
			Optional:    true,
		},

// A Server instance encapsulates a set of devices and a Session target that
// can participate in distributed training. A server belongs to a cluster
// (specified by a ClusterSpec), and corresponds to a particular task in a
// named job. The server can communicate with any other server in the same
// cluster.

// In-process TensorFlow server.
typedef struct TF_Server TF_Server;

  // This service must exist before the StatefulSet, and is responsible for
  // the network identity of the set. Pods get DNS/hostnames that follow the
  // pattern: pod-specific-string.serviceName.default.svc.cluster.local
  // where "pod-specific-string" is managed by the StatefulSet controller.
  optional string serviceName = 5;

  // podManagementPolicy controls how pods are created during initial scale up,

					continue
				}
				v, _ := globalBucketMetadataSys.Get(bucket)
				bucketMap[bucket] = &v
			}

			if globalSiteReplicationSys.isEnabled() && v.Suspended() {
				rpt.SetStatus(bucket, fileName, fmt.Errorf("Cluster replication is enabled for this site, so the versioning state cannot be suspended."))
				continue
			}

			if rcfg, _ := globalBucketObjectLockSys.Get(bucket); rcfg.LockEnabled && v.Suspended() {

	return s.getHashedSet(object).TransitionObject(ctx, bucket, object, opts)
}

// RestoreTransitionedObject - restore transitioned object content locally on this cluster.
func (s *erasureSets) RestoreTransitionedObject(ctx context.Context, bucket, object string, opts ObjectOptions) error {
	return s.getHashedSet(object).RestoreTransitionedObject(ctx, bucket, object, opts)
}

to Services.
With the manual enablement of this feature, the cluster will prefer automatic assignment from
the pool of Service IP addresses thereby reducing the risk of collision.

A Service `ClusterIP` can be assigned:

* dynamically, which means the cluster will automatically pick a free IP within the configured Service IP range.

- In "large" clusters, kube-proxy in iptables mode will now sometimes
  leave unused rules in iptables for a while (up to `--iptables-sync-period`)
  before deleting them. This improves performance by not requiring it to
  check for stale rules on every sync. (In smaller clusters, it will still