NextCycle: oldCache.Info.NextCycle,
		},
		Cache: make(map[string]dataUsageEntry, len(oldCache.Cache)),
	}

	// Put all buckets into channel.
	bucketCh := make(chan BucketInfo, len(buckets))

	// Shuffle buckets to ensure total randomness of buckets, being scanned.
	// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned

	m.SetPodStatus(pod, status)
	m.syncBatch(true)
	verifyActions(t, m, []core.Action{getAction()})

	t.Logf("Nothing stuck in the pipe.")
	verifyUpdates(t, m, 0)
}

// shuffle returns a new shuffled list of container statuses.
func shuffle(statuses []v1.ContainerStatus) []v1.ContainerStatus {
	numStatuses := len(statuses)
	randIndexes := rand.Perm(numStatuses)
	shuffled := make([]v1.ContainerStatus, numStatuses)

	sizes := []int{100, 1023, 1024, 1025}
	if testing.Short() {
		sizes = []int{100, 127, 128, 129}
	}
	dists := []string{"sawtooth", "rand", "stagger", "plateau", "shuffle"}
	modes := []string{"copy", "reverse", "reverse1", "reverse2", "sort", "dither"}
	var tmp1, tmp2 [1025]int
	for _, n := range sizes {
		for m := 1; m < 2*n; m *= 2 {
			for dist := 0; dist < _NDist; dist++ {

	}

	err = validateSyncReplicaSet(&fakePodControl, 1, 0, 0)
	if err != nil {
		t.Fatal(err)
	}
	fakePodControl.Clear()
}

// shuffle returns a new shuffled list of container controllers.
func shuffle(controllers []*apps.ReplicaSet) []*apps.ReplicaSet {
	numControllers := len(controllers)
	randIndexes := rand.Perm(numControllers)
	shuffled := make([]*apps.ReplicaSet, numControllers)

	    the Go tree can run a sanity check but not spend time running
	    exhaustive tests.

	-shuffle off,on,N
	    Randomize the execution order of tests and benchmarks.
	    It is off by default. If -shuffle is set to on, then it will seed
	    the randomizer using the system clock. If -shuffle is set to an
	    integer N, then N will be used as the seed value. In both cases,

      misses.add("INVALID");
    }

    List<String> sampleDataList = new ArrayList<>();
    sampleDataList.addAll(hits);
    sampleDataList.addAll(misses);
    Collections.shuffle(sampleDataList);
    sampleData = sampleDataList.toArray(new String[sampleDataList.size()]);
  }

  // Since we can't pass a concrete SomeEnum.class directly, we need to use a raw type.
  @SuppressWarnings("unchecked")

      misses.add("INVALID");
    }

    List<String> sampleDataList = new ArrayList<>();
    sampleDataList.addAll(hits);
    sampleDataList.addAll(misses);
    Collections.shuffle(sampleDataList);
    sampleData = sampleDataList.toArray(new String[sampleDataList.size()]);
  }

  // Since we can't pass a concrete SomeEnum.class directly, we need to use a raw type.
  @SuppressWarnings("unchecked")

	if queuing.QueueLengthLimit <= 0 {
		allErrs = append(allErrs, field.Invalid(fldPath.Child("queueLengthLimit"), queuing.QueueLengthLimit, "must be positive"))
	}

	// validate input arguments for shuffle-sharding
	if queuing.Queues <= 0 {
		allErrs = append(allErrs, field.Invalid(fldPath.Child("queues"), queuing.Queues, "must be positive"))
	} else if queuing.Queues > priorityLevelConfigurationQueuingMaxQueues {

		// Run for a number of times, shuffling the input to ensure that output is consistent.
		for i := 0; i < 10; i++ {
			t.Run(fmt.Sprintf("test-%d-%s-run-%d", testID, tt.name, i), func(t *testing.T) {
				if i > 0 {
					rng.Shuffle(len(tt.m), func(i, j int) {
						tt.m[i], tt.m[j] = tt.m[j], tt.m[i]
					})
				}
				gotSelected, gotOk := tt.m.resolve(&tt.r)
				if gotOk != tt.wantOk {

 * randomly ordered data (the probability decreases faster than exponentially in N), but if you are
 * passing in unsanitized user data then a malicious user could force it. A light shuffle of the
 * data using an unpredictable seed should normally be enough to thwart this attack.
 *
 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes