replication also cycles through `PENDING` to `COMPLETED` or `FAILED` states for the `X-Amz-Replication-Status` on the source when a delete marker is set (i.e. performing `mc rm` on an object without specifying a version).After replication syncs the delete marker on the target, the DeleteMarker on the target shows `X-Amz-Replication-Status` of `REPLICA`. The status of DeleteMarker replication is returned by `X-Minio-Replication-DeleteMarker-Status` header on `HEAD/GET` calls for the delete marker version in...

  TF_Status* status = TF_NewStatus();
  TF_Tensor* t = TFE_AllocateHostTensor(ctx, datatype, dims, num_dims, status);
  memcpy(TF_TensorData(t), data, TF_TensorByteSize(t));
  TFE_TensorHandle* th = TFE_NewTensorHandleFromTensor(ctx, t, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteTensor(t);
  TF_DeleteStatus(status);
  return th;
}

        final StringBuilder resultBuf = new StringBuilder();

        final PingResponse ping = searchEngineClient.ping();
        final int status = ping.getStatus();
        if (systemHelper.isChangedClusterState(status)) {
            if (fessConfig.hasNotification()) {
                final String toStrs = fessConfig.getNotificationTo();
                final String[] toAddresses;

  $MC_COMMAND ;
  STATUS=$? ;
  until [ $STATUS = 0 ]
  do
    ATTEMPTS=`expr $ATTEMPTS + 1` ;
    echo \"Failed attempts: $ATTEMPTS\" ;
    if [ $ATTEMPTS -gt $LIMIT ]; then
      exit 1 ;
    fi ;
    sleep 2 ; # 1 second intervals between attempts
    $MC_COMMAND ;
    STATUS=$? ;
  done ;
  set -e ; # reset `e` as active
  return 0
}

#define C_OPKERNELCONTEXT_REQUIRES_OK(CTX, C_STATUS, __VA_ARGS__) \
  do {                                                            \
    ::tensorflow::Status _s(__VA_ARGS__);                         \
    if (!TF_PREDICT_TRUE(_s.ok())) {                              \
      ::tensorflow::Set_TF_Status_from_Status(C_STATUS, _s);      \
      TF_OpKernelContext_Failure(CTX, C_STATUS);                  \

    /**
     * Determines whether the specified profile is active in the given activator context.
     *
     * @param profile The profile whose activation status should be determined, must not be {@code null}.
     * @param context The environmental context used to determine the activation status of the profile, must not be
     *            {@code null}.

		sleep $wait_interval
	fi

	((attempt++))
done

status=$(./mc admin group info site1 site-replication-issue-group --json | jq .groupStatus | tr -d '"')

if [[ $status == "enabled" ]]; then
	echo "Success"
else
	echo "Expected status: enabled, actual status: $status"
	exit 1
fi

cleanup

## change working directory

	if programmed {
		conditions = append(conditions, metav1.Condition{
			Type:   string(gateway.GatewayConditionProgrammed),
			Status: kstatus.StatusTrue,
		})
	} else {
		conditions = append(conditions, metav1.Condition{
			Type:   string(gateway.GatewayConditionProgrammed),
			Status: kstatus.StatusFalse,
		})
	}
	className := "other"
	if isWaypoint {
		className = constants.WaypointGatewayClassName
	}

  // that the argument need to be handled by a custom device.
  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

  virtual absl::Status InputLength(const char* input_name, int* length) = 0;
  virtual absl::Status OutputLength(const char* output_name, int* length) = 0;

  // Set stack trace to be used for potential async error reporting.
  virtual void SetStackTrace(ManagedStackTrace stack_trace) = 0;

		stats = append(stats, madmin.KMS{
			Status:   string(state),
			Endpoint: endpoint,
		})
	}
	return stats
}

func targetStatus(ctx context.Context, h logger.Target) madmin.Status {
	if h.IsOnline(ctx) {
		return madmin.Status{Status: string(madmin.ItemOnline)}
	}
	return madmin.Status{Status: string(madmin.ItemOffline)}
}

// fetchLoggerInfo return log info