// sysctl fields can be found here:
//
// https://www.kernel.org/doc/Documentation/networking/nf_conntrack-sysctl.txt
type Conntracker interface {
	// SetMax adjusts nf_conntrack_max.
	SetMax(ctx context.Context, max int) error
	// SetTCPEstablishedTimeout adjusts nf_conntrack_tcp_timeout_established.
	SetTCPEstablishedTimeout(ctx context.Context, seconds int) error

func (s *ProxyServer) setupConntrack(ctx context.Context) error {
	ct := &realConntracker{}

	max, err := getConntrackMax(ctx, s.Config.Conntrack)
	if err != nil {
		return err
	}
	if max > 0 {
		err := ct.SetMax(ctx, max)
		if err != nil {
			if err != errReadOnlySysFS {
				return err
			}
			// errReadOnlySysFS is caused by a known docker issue (https://github.com/docker/docker/issues/24000),

    SmallVector<double, 4> min, max;
    min.reserve(fqOp.getMin().size());
    max.reserve(fqOp.getMax().size());
    for (auto m : fqOp.getMin())
      min.push_back(cast<FloatAttr>(m).getValueAsDouble());
    for (auto m : fqOp.getMax())
      max.push_back(cast<FloatAttr>(m).getValueAsDouble());

    return fakeQuantAttrsToType(fqOp.getLoc(), fqOp.getNumBits(),

    // a special case that there are tf.Identity ops between the min/max
    // constants and the tf.FakeQuantWithMinMaxVarsOp.
    Value min = tf_op.getMin(), max = tf_op.getMax();
    DenseFPElementsAttr min_value, max_value;
    if (auto id1 = dyn_cast_or_null<TF::IdentityOp>(min.getDefiningOp())) {
      id1.replaceAllUsesWith(id1.getInput());
      min = tf_op.getMin();

        // Maximum pool size is fixed, so we should only need to get it from the first event
        GarbageCollectionEvent first = events.iterator().next();
        return first.getUsage().getMax();
    }

    public double getGcRate() {
        return gcRate;
    }

    public int getUsedPercent() {
        return usedPercent;
    }

    public long getMaxSizeInBytes() {

    ids.push_back(op.getId());
    calibration_methods.push_back(op.getCalibrationMethod());
    statistics_outputs.push_back(op.getMin());
    statistics_outputs.push_back(op.getMax());
    statistics_outputs.push_back(op.getHistogram());
  }
}

// Inserts a `CalibrationStatisticsSaverOp` to the end of the region.
LogicalResult InsertCalibrationStatisticsSaverOp(

              quant::DownCastScale(qtype, calibrated_type.getMin(),
                                   calibrated_type.getMax(), op.getLoc()));
        }
      } else if (tensor_property.number_of_bits == 16) {
        double max = std::max(std::abs(calibrated_type.getMin()),
                              std::abs(calibrated_type.getMax()));
        qtype = quantfork::fakeQuantAttrsToType(

        return average;
    }

    public Amount<Q> getMedian() {
        return median;
    }

    public Amount<Q> getMin() {
        return min;
    }

    public Amount<Q> getMax() {
        return max;
    }

    public Amount<Q> getStandardError() {
        return standardError;
    }

    public static double confidenceInDifference(DataSeries first, DataSeries second) {

struct FetchConstantMinMaxInputs {
  using AttrType = DenseFPElementsAttr;
  bool operator()(TFFakeQuantOp tf_op, AttrType &min_value,
                  AttrType &max_value) const {
    Value min = tf_op.getMin(), max = tf_op.getMax();
    if (!matchPattern(min, m_Constant(&min_value))) {
      return false;
    }
    if (!matchPattern(max, m_Constant(&max_value))) {
      return false;
    }
    return true;  // Successfully matched and fetched.

struct FetchConstantMinMaxInputs {
  using AttrType = DenseFPElementsAttr;
  bool operator()(TFFakeQuantOp tf_op, AttrType &min_value,
                  AttrType &max_value) const {
    Value min = tf_op.getMin(), max = tf_op.getMax();
    if (auto min_id = min.getDefiningOp<TF::IdentityOp>()) {
      min = min_id.getInput();
    }
    if (auto max_id = max.getDefiningOp<TF::IdentityOp>()) {
      max = max_id.getInput();
    }