private static final String NUMBER_OF_DATA_NODES = "number_of_data_nodes";
    private static final String NUMBER_OF_PENDING_TASKS = "number_of_pending_tasks";
    private static final String NUMBER_OF_IN_FLIGHT_FETCH = "number_of_in_flight_fetch";
    private static final String DELAYED_UNASSIGNED_SHARDS = "delayed_unassigned_shards";
    private static final String TASK_MAX_WAIT_TIME_IN_QUEUE_IN_MILLIS = "task_max_waiting_in_queue_millis";

   * The maximum number of requests to execute concurrently. Above this requests queue in memory,
   * waiting for the running calls to complete.
   *
   * If more than [maxRequests] requests are in flight when this is invoked, those requests will
   * remain in flight.
   */
  var maxRequests = 64
    get() = this.withLock { field }
    set(maxRequests) {
      require(maxRequests >= 1) { "max < 1: $maxRequests" }
      this.withLock {

        // parallel device.
        device_(device),
        executor_(
            TFE_NewExecutor(is_async, /*enable_streaming_enqueue=*/true,
                            /*in_flight_nodes_limit=*/in_flight_nodes_limit)),
        op_(nullptr),
        thread_(tensorflow::Env::Default()->StartThread(
            tensorflow::ThreadOptions(), "parallel_device_execute",
            std::bind(&DeviceThread::Run, this))) {}

          connectResult = launchTcpConnect()
          nextTcpConnectAtNanos = now + connectDelayNanos
          awaitTimeoutNanos = connectDelayNanos
        }

        // Wait for an in-flight connect to complete or fail.
        if (connectResult == null) {
          connectResult = awaitTcpConnect(awaitTimeoutNanos, TimeUnit.NANOSECONDS) ?: continue
        }

        if (connectResult.isSuccess) {

	apiRequestsIncomingTotalMD = NewGaugeMD(apiRequestsIncomingTotal,
		"Total number of incoming requests", "type")

	apiRequestsInFlightTotalMD = NewGaugeMD(apiRequestsInFlightTotal,
		"Total number of requests currently in flight", "name", "type")
	apiRequestsTotalMD = NewCounterMD(apiRequestsTotal,
		"Total number of requests", "name", "type")
	apiRequestsErrorsTotalMD = NewCounterMD(apiRequestsErrorsTotal,

	NATSStreaming                   = "streaming"
	NATSStreamingClusterID          = "streaming_cluster_id"
	NATSStreamingAsync              = "streaming_async"
	NATSStreamingMaxPubAcksInFlight = "streaming_max_pub_acks_in_flight"

	// JetStream constants
	NATSJetStream = "jetstream"

	EnvNATSEnable        = "MINIO_NOTIFY_NATS_ENABLE"
	EnvNATSAddress       = "MINIO_NOTIFY_NATS_ADDRESS"
	EnvNATSSubject       = "MINIO_NOTIFY_NATS_SUBJECT"

 *     lookups) and attempt a new connection them. When failures occur, retries iterate the list of
 *     available routes.
 *
 * If the pool gains an eligible connection while DNS, TCP, or TLS work is in flight, this finder
 * will prefer pooled connections. Only pooled HTTP/2 connections are used for such de-duplication.
 *
 * It is possible to cancel the finding process by canceling its call.
 *

    )

    taskFaker.assertNoMoreTasks()
  }

  /**
   * This test puts several connections in flight that all fail at approximately the same time. It
   * confirms the fast fallback implements these invariants:
   *
   *  * if there's no TCP connect in flight, start one.
   *  * don't start a new TCP connect within 250 ms of the previous TCP connect.
   */
  @Test

	mlock sync.RWMutex // mutex for bucket measurement

	bucketsThrottle    map[BucketOptions]*bucketThrottle
	bucketsMeasurement map[BucketOptions]*bucketMeasurement // Buckets with objects in flight

	bucketMovingAvgTicker *time.Ticker    // Ticker for calculating moving averages
	ctx                   context.Context // Context for generate
	NodeCount             uint64
}

  override fun request(): Request = originalRequest

  /**
   * Immediately closes the socket connection if it's currently held. Use this to interrupt an
   * in-flight request from any thread. It's the caller's responsibility to close the request body
   * and response body streams; otherwise resources may be leaked.
   *