rs:        ReplicationState{ReplicationStatusInternal: "arn1=PENDING;", Targets: map[string]replication.StatusType{"arn1": "PENDING"}},
		expStatus: replication.Pending,
	},
	{ // 3. replication status for one target - incorrect format
		name:      "replication status for one target",
		rs:        ReplicationState{ReplicationStatusInternal: "arn1=PENDING"},
		expStatus: replication.StatusType(""),
	},

			// 1: Pending replication
			name: "existing object replication on object in Pending replication status",
			info: ObjectInfo{
				Size:                      100,
				ReplicationStatusInternal: "arn1:PENDING;",
				ReplicationStatus:         replication.Pending,
				VersionID:                 "a3348c34-c352-4498-82f0-1098e8b34df9",
			},

import jcifs.internal.smb1.ServerMessageBlock;
import jcifs.internal.util.SMBUtil;

/**
 * SMB1 COM_SEEK command implementation.
 *
 * This command changes the current file position pointer for a file.
 * It allows seeking to different positions within an open file.
 *
 * @author mbechler
 */
public class SmbComSeek extends ServerMessageBlock {

    /**
     * Constructs a seek command.
     *

2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

    @Override
    public String apply(String line) {
        if (line.startsWith("\r\u001b")) {
            /* We don't want to try to be a full terminal emulator but we want to
              keep the escape sequences from leaking and catch _some_ of the
              meaning. */
            line = line.substring(2);
            if ("[K".equals(line)) {
                inProgressReport = true;
            }
            return null;
        }

     * Last fragment flag - indicates last fragment of a multi-fragment message
     */
    int DCERPC_LAST_FRAG = 0x02; /* Last fragment */
    /**
     * Pending cancel flag - indicates cancel was pending at sender
     */
    int DCERPC_PENDING_CANCEL = 0x04; /* Cancel was pending at sender */
    /**
     * Reserved flag for future use
     */
    int DCERPC_RESERVED_1 = 0x08;
    /**
     * Supports concurrent multiplexing flag

// - replicated size for all objects sent to this target
// - replica size for all objects received from this target
// - replication pending size for all objects pending replication to this target
// - replication failed size for all objects failed replication to this target
// - replica pending count
// - replica failed count
type BucketTargetUsageInfo struct {
	ReplicationPendingSize  uint64 `json:"objectsPendingReplicationTotalSize"`

     * Last fragment flag - indicates last fragment of a multi-fragment message
     */
    int DCERPC_LAST_FRAG = 0x02; /* Last fragment */
    /**
     * Pending cancel flag - indicates cancel was pending at sender
     */
    int DCERPC_PENDING_CANCEL = 0x04; /* Cancel was pending at sender */
    /**
     * Reserved flag for future use
     */
    int DCERPC_RESERVED_1 = 0x08;
    /**
     * Supports concurrent multiplexing flag.

)

var (
	ilmExpiryPendingTasksMD             = NewGaugeMD(expiryPendingTasks, "Number of pending ILM expiry tasks in the queue")
	ilmTransitionActiveTasksMD          = NewGaugeMD(transitionActiveTasks, "Number of active ILM transition tasks")
	ilmTransitionPendingTasksMD         = NewGaugeMD(transitionPendingTasks, "Number of pending ILM transition tasks in the queue")

	recursive    bool       `msg:"rec"`
	dataVersion  uint8      `msg:"v"`
}

func (m *metacache) finished() bool {
	return !m.ended.IsZero()
}

// worthKeeping indicates if the cache by itself is worth keeping.
func (m *metacache) worthKeeping() bool {
	if m == nil {
		return false
	}
	cache := m
	switch {
	case !cache.finished() && time.Since(cache.lastUpdate) > metacacheMaxRunningAge: