RecreateDeploymentStrategyType DeploymentStrategyType = "Recreate"

	// Replace the old ReplicaSets by new one using rolling update i.e gradually scale down the old ReplicaSets and scale up the new one.
	RollingUpdateDeploymentStrategyType DeploymentStrategyType = "RollingUpdate"
)

// Spec to control the desired behavior of rolling update.
type RollingUpdateDeployment struct {
	// The maximum number of pods that can be unavailable during the update.

	RecreateDeploymentStrategyType DeploymentStrategyType = "Recreate"

	// Replace the old ReplicaSets by new one using rolling update i.e gradually scale down the old ReplicaSets and scale up the new one.
	RollingUpdateDeploymentStrategyType DeploymentStrategyType = "RollingUpdate"
)

// Spec to control the desired behavior of rolling update.
type RollingUpdateDeployment struct {
	// The maximum number of pods that can be unavailable during the update.

	RecreateDeploymentStrategyType DeploymentStrategyType = "Recreate"

	// Replace the old RCs by new one using rolling update i.e gradually scale down the old RCs and scale up the new one.
	RollingUpdateDeploymentStrategyType DeploymentStrategyType = "RollingUpdate"
)

// Spec to control the desired behavior of rolling update.
type RollingUpdateDeployment struct {
	// The maximum number of pods that can be unavailable during the update.

  ZeroVPNConfig zvpn = 19;

  repeated k8s.io.api.core.v1.Toleration tolerations = 20 [deprecated = true];

  // K8s rolling update strategy
  IntOrString rollingMaxSurge = 21 [deprecated = true];

  // The number of pods that can be unavailable during a rolling update (see
  // `strategy.rollingUpdate.maxUnavailable` here:

	err := dsc.manage(ctx, ds, nodeList, hash)
	if err != nil {
		return err
	}

	// Process rolling updates if we're ready.
	if dsc.expectations.SatisfiedExpectations(klog.FromContext(ctx), key) {
		switch ds.Spec.UpdateStrategy.Type {
		case apps.OnDeleteDaemonSetStrategyType:

      if (shift_i < 0) shift_i += input_dims_i;
      if (shift_i == 0) continue;
      adjusted_axis.push_back(i);
      adjusted_shift.push_back(shift_i);
    }

    // Convert rolling in each dimension to two Slice ops and one Concat op.
    auto axis_type = tensorflow::GetTypeFromTFTensorShape(
        {input_rank}, rewriter.getIntegerType(64));

// mechanism.
func (ctrl *PersistentVolumeController) unbindVolume(ctx context.Context, volume *v1.PersistentVolume) error {
	logger := klog.FromContext(ctx)
	logger.V(4).Info("Updating PersistentVolume: rolling back binding from claim", "PVC", klog.KRef(volume.Spec.ClaimRef.Namespace, volume.Spec.ClaimRef.Name), "volumeName", volume.Name)

	// Save the PV only when any modification is necessary.
	volumeClone := volume.DeepCopy()

      throw new IllegalArgumentException(lenientFormat(errorMessageTemplate, p1, p2, p3, p4));
    }
  }

  /**
   * Ensures the truth of an expression involving the state of the calling instance, but not
   * involving any parameters to the calling method.
   *
   * @param expression a boolean expression
   * @throws IllegalStateException if {@code expression} is false
   * @see Verify#verify Verify.verify()
   */

      throw new IllegalArgumentException(lenientFormat(errorMessageTemplate, p1, p2, p3, p4));
    }
  }

  /**
   * Ensures the truth of an expression involving the state of the calling instance, but not
   * involving any parameters to the calling method.
   *
   * @param expression a boolean expression
   * @throws IllegalStateException if {@code expression} is false
   * @see Verify#verify Verify.verify()
   */

     * LF<? extends @Nullable V>. That might be better: There's currently no difference between the
     * outputs users get when calling this with <Foo> and calling it with <@Nullable Foo>. The only
     * difference is that calling it with <Foo> won't work when an input Future has a @Nullable
     * type. So why even make that error possible by giving callers the choice?
     *