type Unmounter interface {
	Volume
	// TearDown unmounts the volume from a self-determined directory and
	// removes traces of the SetUp procedure.
	TearDown() error
	// TearDown unmounts the volume from the specified directory and
	// removes traces of the SetUp procedure.
	TearDownAt(dir string) error
}

// BlockVolumeMapper interface is a mapper interface for block volume.
type BlockVolumeMapper interface {

		upgradeCfg.Apply.Patches = &kubeadmapi.Patches{Directory: flags.patchesDir}
	} else if upgradeCfg.Apply.Patches == nil {
		upgradeCfg.Apply.Patches = &kubeadmapi.Patches{}
	}

	// Now; perform the upgrade procedure
	if err := PerformControlPlaneUpgrade(flags, client, waiter, initCfg, upgradeCfg); err != nil {
		return errors.Wrap(err, "[upgrade/apply] FATAL")
	}

	// Upgrade RBAC rules and addons.

        quantization_method,
    tensorflow::quantization::OpSet op_set, int min_num_elements_for_weights);

// Replaces tf.CustomAggregator ops with quant.Stats ops for finalizing the
// calibration procedure.
std::unique_ptr<OperationPass<func::FuncOp>>
CreateConvertCustomAggregationOpToQuantStatsPass();

// Inserts quantized function library.
std::unique_ptr<OperationPass<ModuleOp>> CreateInsertQuantizedFunctionsPass(

		return false
	}
	x.Mod(x, N)
	return x.Cmp(r) == 0
}

var one = new(big.Int).SetInt64(1)

// randFieldElement returns a random element of the order of the given
// curve using the procedure given in FIPS 186-4, Appendix B.5.2.
func randFieldElement(c elliptic.Curve, rand io.Reader) (k *big.Int, err error) {
	// See randomPoint for notes on the algorithm. This has to match, or s390x

    return "quant-insert-custom-aggregation-ops";
  }

  StringRef getDescription() const final {
    // This is a brief description of the pass.
    return "Insert custom aggregation ops for the calibration procedure";
  }

  void getDependentDialects(DialectRegistry &registry) const override {
    registry.insert<TF::TensorFlowDialect>();
  }

  void runOnOperation() override;

 private:
  enum TestCase {

	"k8s.io/kubernetes/cmd/kubeadm/app/util/output"
)

// enforceRequirements verifies that it's okay to upgrade and then returns the variables needed for the rest of the procedure

      This transformation reorders operations such that operations that will be
      executed by the Flex delegate will be followed by another Flex delegated
      operator, if possible. The reordering uses the same greedy procedure that
      is executed at runtime (in tensorflow/lite/graph_info.cc.)
      This allows us to have an IR of the model that is in the same execution order

	priv.PublicKey.X, priv.PublicKey.Y, err = c.pointToAffine(Q)
	if err != nil {
		return nil, err
	}
	return priv, nil
}

// randomPoint returns a random scalar and the corresponding point using the
// procedure given in FIPS 186-4, Appendix B.5.2 (rejection sampling).
func randomPoint[Point nistPoint[Point]](c *nistCurve[Point], rand io.Reader) (k *bigmod.Nat, p Point, err error) {
	k = bigmod.NewNat()
	for {

	// 2. connect: but the patch is based on the old workloadentry because of the propagation latency.
	// So in this case the `istio.io/disconnectedAt` is still there and the cleanup procedure will go on.
	connTime := wle.Annotations[annotation.IoIstioConnectedAt.Name]
	if connTime != "" {
		// handle workload leak when both workload/pilot down at the same time before pilot has a chance to set disconnTime

/*
Package gob manages streams of gobs - binary values exchanged between an
[Encoder] (transmitter) and a [Decoder] (receiver). A typical use is transporting
arguments and results of remote procedure calls (RPCs) such as those provided by
[net/rpc].

The implementation compiles a custom codec for each data type in the stream and
is most efficient when a single [Encoder] is used to transmit a stream of values,