// execute the HTTP request to create bucket.
	response, err := s.client.Do(request)
	c.Assert(err, nil)
	c.Assert(response.StatusCode, http.StatusOK)

	// create listObjectsV1 request with invalid value of max-keys parameter. max-keys is set to -2.
	request, err = newTestSignedRequest(http.MethodGet, getListObjectsV1URL(s.endPoint, bucketName, "", "-2", ""),
		0, nil, s.accessKey, s.secretKey, s.signer)
	c.Assert(err, nil)

				avgQueueCount.Value = qt.Avg.Count
				maxQueueBytes.Value = qt.Max.Bytes
				maxQueueCount.Value = qt.Max.Count
			}
			activeWorkersCount.Value = float64(qs.ActiveWorkers.Curr)
			avgActiveWorkersCount.Value = float64(qs.ActiveWorkers.Avg)
			maxActiveWorkersCount.Value = float64(qs.ActiveWorkers.Max)

			if len(qs.XferStats) > 0 {
				tots := qs.XferStats[Total]

		if peer.ActiveWorkers.Max > sm.ActiveWorkers.Max {
			sm.ActiveWorkers.Max += peer.ActiveWorkers.Max
		}
		sm.Queued.Avg.Bytes += peer.Queued.Avg.Bytes
		sm.Queued.Avg.Count += peer.Queued.Avg.Count
		sm.Queued.Curr.Bytes += peer.Queued.Curr.Bytes
		sm.Queued.Curr.Count += peer.Queued.Curr.Count
		if peer.Queued.Max.Count > sm.Queued.Max.Count {
			sm.Queued.Max.Bytes = peer.Queued.Max.Bytes

}

const (
	// WorkerMaxLimit max number of workers per node for "fast" mode
	WorkerMaxLimit = 500

	// WorkerMinLimit min number of workers per node for "slow" mode
	WorkerMinLimit = 50

	// WorkerAutoDefault is default number of workers for "auto" mode
	WorkerAutoDefault = 100

	// MRFWorkerMaxLimit max number of mrf workers per node for "fast" mode
	MRFWorkerMaxLimit = 8

			fault:      None,
			accessKey:  credentials.AccessKey,
			secretKey:  credentials.SecretKey,

			expectedAPIError: ErrInvalidPart,
		},
		// Case where the part number has exceeded the max allowed parts in an upload.
		2: {
			objectName: testObject,
			content:    "hello",
			partNumber: strconv.Itoa(globalMaxPartID + 1),
			fault:      None,
			accessKey:  credentials.AccessKey,

  // shape.ParseFromArray takes an int as length, this function takes size_t,
  // make sure there is no information loss.
  if (proto_len > std::numeric_limits<int>::max()) {
    status->status = InvalidArgument(
        "proto_len (", proto_len,
        " bytes) is too large to be parsed by the protocol buffer library");
    return;
  }
  TensorShapeProto shape;

	for k, v := range globalProfiler {
		v.Stop()
		delete(globalProfiler, k)
	}

	// Start profiling on remote servers.
	for _, profiler := range profiles {
		// Limit start time to max 10s.
		ctx, cancel := context.WithTimeout(ctx, 10*time.Second)
		globalNotificationSys.StartProfiling(ctx, profiler)
		// StartProfiling blocks, so we can cancel now.
		cancel()