*
   * @throws RejectedExecutionException if the task cannot be scheduled for execution
   * @since 28.2
   */
  public static <O extends @Nullable Object> ListenableFuture<O> submit(
      Callable<O> callable, Executor executor) {
    TrustedListenableFutureTask<O> task = TrustedListenableFutureTask.create(callable);
    executor.execute(task);
    return task;
  }

  /**

				"application/dialog-info+xml",
				"application/dicom",
				"application/dita+xml",
				"application/dita+xml;format=map",
				"application/dita+xml;format=topic",
				"application/dita+xml;format=task",
				"application/dita+xml;format=concept",
				"application/dita+xml;format=val",
				"application/dns",
				"application/dvcs",
				"application/ecmascript",
				"application/edi-consent",

    private final List<Header> requestHeaderList = new ArrayList<>();

    /** Map of HTTP client properties */
    private final Map<String, Object> httpClientPropertyMap = new HashMap<>();

    /** Task for monitoring idle connections */
    private TimeoutTask connectionMonitorTask;

    /** Connection timeout in milliseconds */
    protected Integer connectionTimeout;

// 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;

	}

	pattern := event.NewPattern(prefix, suffix)

	var eventNames []event.Name
	var mask pubsub.Mask
	for _, ev := range values[peerRESTListenEvents] {
		eventName, err := event.ParseName(ev)
		if err != nil {
			return grid.NewRemoteErr(err)
		}
		mask.MergeMaskable(eventName)
		eventNames = append(eventNames, eventName)
	}

    private final int mask;

    SubSet(ImmutableMap<E, Integer> inputSet, int mask) {
      this.inputSet = inputSet;
      this.mask = mask;
    }

    @Override
    public Iterator<E> iterator() {
      return new UnmodifiableIterator<E>() {
        final ImmutableList<E> elements = inputSet.keySet().asList();
        int remainingSetBits = mask;

        @Override

	bootstrapTrace("newSharedLock", func() {
		globalLeaderLock = newSharedLock(GlobalContext, z, "leader.lock")
	})

	// Start self healing after the object initialization
	// so various tasks will be useful
	bootstrapTrace("initAutoHeal", func() {
		initAutoHeal(GlobalContext, z)
	})

	// initialize the object layer.
	defer setObjectLayer(z)

	r := rand.New(rand.NewSource(time.Now().UnixNano()))

s?kas?ustak???s&os?ufomihs??t&amihcay?iran??w&a&g&im&anah?o??omak??kihci?zustum??ihsak??y&agamak?imonihci???e&akas?nagot??i&azni?esohc?h&asa?s&abanuf?ohc???ka&to?zok??musi?orihs?r&akihabihsokoy?o&dim?tak??ukujuk??usihs??nano&hc?yk??o&d&iakustoy?ustam??hsonhot?k&a&rihs?t??iba??nihsaran?sobimanim?tas&arihsimao?imot??uhc?yihcay??u&kujno?s&ayaru?t&imik?tuf???zarasik?????c&cah,ed,?g&as!.&a&gas?m&a&tamah?yik??ihsak??rat?t&a&gatik?hatik??ira!ihsin????e&kaira?nimimak??i&akneg?g&aruyk?o??h&c&amo?uo??sior...

 * entries may be counted in {@link Cache#size}, but will never be visible to read or write
 * operations.
 *
 * <p>Certain cache configurations will result in the accrual of periodic maintenance tasks which
 * will be performed during write operations, or during occasional read operations in the absence of
 * writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but

   * <p>This must be a (2^n)-1 as it is used as a mask.
   */
  static final int DRAIN_THRESHOLD = 0x3F;

  /**
   * Maximum number of entries to be drained in a single cleanup run. This applies independently to
   * the cleanup queue and both reference queues.
   */
  // TODO(fry): empirically optimize this
  static final int DRAIN_MAX = 16;

  // Fields

  /**