// 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;

		Description:    "Cannot add remote target endpoint since this server is in a cluster replication setup",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrReplicationDenyEditError: {
		Code:           "XMinioReplicationDenyEdit",
		Description:    "Cannot alter local replication config since this server is in a cluster replication setup",
		HTTPStatusCode: http.StatusBadRequest,
	},

	}()
}

// newPeerRestClients creates new peer clients.
// The two slices will point to the same clients,
// but 'all' will contain nil entry for local client.
// The 'all' slice will be in the same order across the cluster.
func newPeerRestClients(endpoints EndpointServerPools) (remote, all []*peerRESTClient) {
	if !globalIsDistErasure {
		// Only useful in distributed setups
		return nil, nil
	}

	return obj, nil
}

// transition object to target specified by the transition ARN. When an object is transitioned to another
// storage specified by the transition ARN, the metadata is left behind on source cluster and original content
// is moved to the transition tier. Note that in the case of encrypted objects, entire encrypted stream is moved
// to the transition tier without decrypting or re-encrypting.

					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() {

import org.opensearch.action.search.SearchResponse;
import org.opensearch.action.support.WriteRequest.RefreshPolicy;
import org.opensearch.action.support.clustermanager.AcknowledgedResponse;
import org.opensearch.cluster.metadata.MappingMetadata;
import org.opensearch.common.unit.TimeValue;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.core.rest.RestStatus;
import org.opensearch.core.xcontent.XContentBuilder;

	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)
}

func isDirObject(object string) bool {
	if obj := encodeDirObject(object); obj != object {
		object = obj
	}
	return HasSuffix(object, globalDirSuffix)
}

// Helper method to return total number of nodes in cluster
func totalNodeCount() int {
	totalNodesCount := len(globalEndpoints.Hostnames())
	if totalNodesCount == 0 {
		totalNodesCount = 1 // For standalone erasure coding
	}
	return totalNodesCount
}

	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

				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
	)