op = strings.Replace(op, "(*lockRESTServer)", "lockR", 1)
	op = strings.Replace(op, "(*stsAPIHandlers)", "sts", 1)
	op = strings.Replace(op, "(*peerS3Server)", "s3", 1)
	op = strings.Replace(op, "ClusterCheckHandler", "health.Cluster", 1)
	op = strings.Replace(op, "ClusterReadCheckHandler", "health.ClusterRead", 1)
	op = strings.Replace(op, "LivenessCheckHandler", "health.Liveness", 1)
	op = strings.Replace(op, "ReadinessCheckHandler", "health.Readiness", 1)

	if err != nil {
		internalLogIf(ctx, err)
	}
}

// runDataScanner will start a data scanner.
// The function will block until the context is canceled.
// There should only ever be one scanner running per cluster.
func runDataScanner(ctx context.Context, objAPI ObjectLayer) {
	ctx, cancel := globalLeaderLock.GetLock(ctx)
	defer cancel()

	// Load current bloom cycle
	var cycleInfo currentScannerCycle

## Sample `POST` Request

```

				if aerr == nil {
					return
				}
				batchLogIf(ctx,
					fmt.Errorf("trying %s: Unable to cleanup failed multipart replication %s on remote %s/%s: %w - this may consume space on remote cluster",
						humanize.Ordinal(attempts), res.UploadID, tgtBucket, tgtObject, aerr))
				attempts++
				time.Sleep(time.Second)
			}
		}
	}()

	var (
		hr    *hash.Reader
		pInfo PartInfo
	)

////

## HTML „dfn“-Elemente { #html-dfn-elements }

* <dfn title="Eine Gruppe von Maschinen, die so konfiguriert sind, dass sie verbunden sind und in irgendeiner Weise zusammenarbeiten.">Cluster</dfn>

////

## Elementos HTML "dfn" { #html-dfn-elements }

* <dfn title="Un grupo de máquinas configuradas para estar conectadas y trabajar juntas de alguna manera.">clúster</dfn>
* <dfn title="Un método de Machine Learning que usa redes neuronales artificiales con numerosas capas ocultas entre las capas de entrada y salida, desarrollando así una estructura interna completa">Deep Learning</dfn>

////

## Elementos HTML "dfn" { #html-dfn-elements }

* <dfn title="Um grupo de máquinas configuradas para estarem conectadas e trabalharem juntas de alguma forma.">cluster</dfn>
* <dfn title="Um método de aprendizado de máquina que usa redes neurais artificiais com numerosas camadas ocultas entre as camadas de entrada e saída, desenvolvendo assim uma estrutura interna abrangente">Deep Learning</dfn>

#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 err != nil {
		return err
	}

	return z.serverPools[idx].TransitionObject(ctx, bucket, object, opts)
}

// RestoreTransitionedObject - restore transitioned object content locally on this cluster.
func (z *erasureServerPools) RestoreTransitionedObject(ctx context.Context, bucket, object string, opts ObjectOptions) error {
	object = encodeDirObject(object)
	if z.SinglePool() {

## Sample `POST` Request

```
http://minio.cluster:9000?Action=AssumeRoleWithLDAPIdentity&LDAPUsername=foouser&LDAPPassword=foouserpassword&Version=2011-06-15&DurationSeconds=7200
```

## Sample Response

```
<?xml version="1.0" encoding="UTF-8"?>