}
		if rec.timestamp.Before(upCutoff) && rec.timestamp.Before(downCutoff) {
			foundOldSample = true
			oldSampleIndex = i
		}
	}

	// Bring the recommendation to within the upper and lower limits (stabilize).
	recommendation := args.CurrentReplicas
	if recommendation < upRecommendation {
		recommendation = upRecommendation
	}
	if recommendation > downRecommendation {
		recommendation = downRecommendation

  & sc.exe failure kubelet reset= 0 actions= restart/10000
  Log-Output "Starting kubelet service"
  & sc.exe start kubelet

  Log-Output "Waiting 10 seconds for kubelet to stabilize"
  Start-Sleep 10
  Write-VerboseServiceInfoToConsole -Service 'kubelet'

  if (Get-Process | Where-Object Name -eq "kube-proxy") {
    Log-Output -Fatal `

// the DaemonSet and StatefulSet controllers for update and rollback, this object is beta. However,
// it may be subject to name and representation changes in future releases, and clients should not
// depend on its stability. It is primarily for internal use by controllers.
type ControllerRevision struct {
	metav1.TypeMeta `json:",inline"`
	// Standard object's metadata.

    // Exponential of input values and then their sum can be very large here.
    // Division with large denominator is numerically unstable. To improve
    // numerical stability, subtract each batch with their max element so that
    // the maximum input value is zero. It can be shown that softmax computed
    // after adding or subtracting all inputs in a batch using a common value

     * empty at any point. (The sum ensures accuracy up through at least 1<<31 per-segment
     * modifications before recheck.)  Method containsValue() uses similar constructions for
     * stability checks.
     */
    long sum = 0L;
    Segment<K, V, E, S>[] segments = this.segments;
    for (int i = 0; i < segments.length; ++i) {
      if (segments[i].count != 0) {
        return false;
      }

     * empty at any point. (The sum ensures accuracy up through at least 1<<31 per-segment
     * modifications before recheck.)  Method containsValue() uses similar constructions for
     * stability checks.
     */
    long sum = 0L;
    Segment<K, V, E, S>[] segments = this.segments;
    for (int i = 0; i < segments.length; ++i) {
      if (segments[i].count != 0) {
        return false;
      }

		ld.buildStacks()

		changed, err := ld.updateRequirements(ctx)
		if err != nil {
			ld.error(err)
			break
		}
		if changed {
			// Don't resolve missing imports until the module graph has stabilized.
			// If the roots are still changing, they may turn out to specify a
			// requirement on the missing package(s), and we would rather use a
			// version specified by a new root than add a new dependency on an

				t.Fatal(err)
			}
			imports[pkg.Name()] = pkg
			return pkg
		}
		makePkg(lib)
		pkg := makePkg(test.src)

		t.Run(pkg.Name(), func(t *testing.T) {
			// Sort instances in source order for stability.
			instances := sortedInstances(instMap)
			if got, want := len(instances), len(test.instances); got != want {
				t.Fatalf("got %d instances, want %d", got, want)
			}

				t.Fatal(err)
			}
			imports[pkg.Name()] = pkg
			return pkg
		}
		makePkg(lib)
		pkg := makePkg(test.src)

		t.Run(pkg.Name(), func(t *testing.T) {
			// Sort instances in source order for stability.
			instances := sortedInstances(instMap)
			if got, want := len(instances), len(test.instances); got != want {
				t.Fatalf("got %d instances, want %d", got, want)
			}