}
              });
      final CyclicBarrier barrier = new CyclicBarrier(numThreads + 1);
      Runnable wrapper =
          new Runnable() {
            @Override
            public void run() {
              awaitUnchecked(barrier);
              task.run();
              awaitUnchecked(barrier);
            }
          };
      for (int j = 0; j < 10; j++) {

                }
              });
      final CyclicBarrier barrier = new CyclicBarrier(numThreads + 1);
      Runnable wrapper =
          new Runnable() {
            @Override
            public void run() {
              awaitUnchecked(barrier);
              task.run();
              awaitUnchecked(barrier);
            }
          };
      for (int j = 0; j < 10; j++) {

    }
    final CyclicBarrier barrier =
        new CyclicBarrier(
            6 // for the setter threads
                + 50 // for the listeners
                + 50 // for the blocking get threads,
                + 1); // for the main thread
    final ExecutorService executor = Executors.newFixedThreadPool(barrier.getParties());

    }
    final CyclicBarrier barrier =
        new CyclicBarrier(
            6 // for the setter threads
                + 50 // for the listeners
                + 50 // for the blocking get threads,
                + 1); // for the main thread
    final ExecutorService executor = Executors.newFixedThreadPool(barrier.getParties());

                public @Nullable Void call() throws Exception {
                  barrier.await();
                  Integer first = graph.nodes().iterator().next();
                  for (Integer node : graph.nodes()) {
                    Set<Integer> unused = graph.successors(node);
                  }
                  /*
                   * Also look up an earlier node so that, if the graph is using MapRetrievalCache,

    }
    *state_iter = std::move(s);
    ++state_iter;
  }
  status->status = absl::OkStatus();
}

void TFE_WaitAtBarrier(TFE_Context* ctx, const char* barrier_id,
                       int64_t barrier_timeout_in_ms, TF_Status* status) {
  tensorflow::ImmediateExecutionDistributedManager* dist_mgr =
      tensorflow::unwrap(ctx)->GetDistributedManager();
  tsl::CoordinationServiceAgent* coord_agent =

TF_CAPI_EXPORT extern void TFE_WaitAtBarrier(TFE_Context* ctx,
                                             const char* barrier_id,
                                             int64_t barrier_timeout_in_ms,
                                             TF_Status* status);

TF_CAPI_EXPORT extern void TFE_InitializeLocalOnlyContext(TFE_Context* ctx,

  private var refusedStreamCount = 0

  /**
   * The maximum number of concurrent streams that can be carried by this connection. If
   * `allocations.size() < allocationLimit` then new streams can be created on this connection.
   */
  internal var allocationLimit = 1
    private set

  /** Current calls carried by this connection. */
  val calls = mutableListOf<Reference<RealCall>>()

	FSType     string
	RootDisk   bool
	Healing    bool
	Scanning   bool
	Endpoint   string
	MountPath  string
	ID         string
	Rotational bool
	Metrics    DiskMetrics
	Error      string // carries the error over the network
}

// DiskMetrics has the information about XL Storage APIs
// the number of calls of each API and the moving average of
// the duration of each API.
type DiskMetrics struct {

[time.Timer] and [time.Ticker].

First, `Timer`s and `Ticker`s that are no longer referred to by the program
become eligible for garbage collection immediately, even if their
`Stop` methods have not been called.
Earlier versions of Go did not collect unstopped `Timer`s until after
they had fired and never collected unstopped `Ticker`s.

Second, the timer channel associated with a `Timer` or `Ticker` is
now unbuffered, with capacity 0.