shred -s 500M /tmp/data/mpartobj
echo "done"

# Add replication site
./mc admin replicate add minio1 minio2 --insecure
# sleep for replication to complete
sleep 30

# Create bucket in source cluster
echo "Create bucket in source MinIO instance"
./mc mb minio1/test-bucket --insecure

# Load objects to source site with checksum header
echo "Loading objects to source MinIO instance"

shred -s 500M /tmp/data/custpartsize
echo "done"

# Add replication site
./mc admin replicate add minio1 minio2 --insecure
# sleep for replication to complete
sleep 30

# Create bucket in source cluster
echo "Create bucket in source MinIO instance"
./mc mb minio1/test-bucket --insecure

# Enable SSE KMS for the bucket
./mc encrypt set sse-kms minio-default-key minio1/test-bucket --insecure

  // +optional
  optional string completedIndexes = 7;

  // uncountedTerminatedPods holds the UIDs of Pods that have terminated but
  // the job controller hasn't yet accounted for in the status counters.
  //
  // The job controller creates pods with a finalizer. When a pod terminates
  // (succeeded or failed), the controller does three steps to account for it
  // in the job status:
  //

  repeated FlowSchema items = 2;
}

// FlowSchemaSpec describes how the FlowSchema's specification looks like.
message FlowSchemaSpec {
  // `priorityLevelConfiguration` should reference a PriorityLevelConfiguration in the cluster. If the reference cannot
  // be resolved, the FlowSchema will be ignored and marked as invalid in its status.
  // Required.
  optional PriorityLevelConfigurationReference priorityLevelConfiguration = 1;

*   TensorForest Estimator now supports SavedModel export for serving.

*   Support client-provided ClusterSpec's and propagate them to all workers to
    enable the creation of dynamic TensorFlow clusters.

*   TensorFlow C library now available for Windows.

*   We released a new open-source version of TensorBoard.

*   [`SavedModel CLI`](https://www.tensorflow.org/versions/master/guide/saved_model_cli)

  // will be forwarded to.
  optional HTTPIngressRuleValue http = 1;
}

// IngressSpec describes the Ingress the user wishes to exist.
message IngressSpec {
  // IngressClassName is the name of the IngressClass cluster resource. The
  // associated IngressClass defines which controller will implement the
  // resource. This replaces the deprecated `kubernetes.io/ingress.class`

                }
                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 ) {

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

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

#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;

				if cfg.Streaming.Enable {
					return config.EnableOn
				}
				return config.EnableOff
			}(),
		},
		config.KV{
			Key:   target.NATSStreamingClusterID,
			Value: cfg.Streaming.ClusterID,
		},
		config.KV{
			Key:   target.NATSStreamingAsync,
			Value: config.FormatBool(cfg.Streaming.Async),
		},
		config.KV{
			Key:   target.NATSStreamingMaxPubAcksInFlight,