*/
  static void checkAvalanche(HashFunction function, int trials, double epsilon) {
    Random rand = new Random(0);
    int keyBits = 32;
    int hashBits = function.bits();
    for (int i = 0; i < keyBits; i++) {
      int[] same = new int[hashBits];
      int[] diff = new int[hashBits];
      // go through trials to compute probability
      for (int j = 0; j < trials; j++) {
        int key1 = rand.nextInt();

    for (Comparator<byte[]> comparator :
        Arrays.asList(
            UnsignedBytes.lexicographicalComparator(),
            UnsignedBytes.lexicographicalComparatorJavaImpl())) {
      for (int trials = 10; trials-- > 0; ) {
        byte[] left = new byte[1 + rnd.nextInt(32)];
        rnd.nextBytes(left);
        byte[] right = left.clone();
        assertThat(comparator.compare(left, right)).isEqualTo(0);

          days-before-issue-stale: 14
          stale-issue-label: to-triage
          stale-issue-message: ""
          days-before-issue-close: -1

          only-pr-labels: 'from:contributor'
          exempt-all-pr-milestones: true
          days-before-pr-stale: 14
          stale-pr-label: to-triage
          stale-pr-message: ""

        }
        trail = null;
    }

    /**
     * @return {@link List} < {@link String} > with artifact ids
     * @throws OverConstrainedVersionException if version specification is over constrained
     */
    public List<String> getDependencyTrail() throws OverConstrainedVersionException {
        List<Artifact> trial = getTrail();

  }

  private static void testNetworkMutation(NetworkBuilder<? super Integer, Object> networkBuilder) {
    Random gen = new Random(42); // Fixed seed so test results are deterministic.

    for (int trial = 0; trial < NUM_TRIALS; ++trial) {
      MutableNetwork<Integer, Object> network =
          networkBuilder.allowsParallelEdges(true).allowsSelfLoops(true).build();

      assertThat(network.nodes()).isEmpty();

		merged.LastMin = l.LastMin
	} else {
		l.forwardTo(o.LastMin)
		merged.LastMin = o.LastMin
	}

	for i := range merged.Totals {
		merged.Totals[i] = AccElem{
			Total: l.Totals[i].Total + o.Totals[i].Total,
			N:     l.Totals[i].N + o.Totals[i].N,
			Size:  l.Totals[i].Size + o.Totals[i].Size,
		}
	}
	return merged
}

// Add  a new duration data
func (l *ReplicationLastHour) addsize(sz int64) {

  }

  private static void testNetworkMutation(NetworkBuilder<? super Integer, Object> networkBuilder) {
    Random gen = new Random(42); // Fixed seed so test results are deterministic.

    for (int trial = 0; trial < NUM_TRIALS; ++trial) {
      MutableNetwork<Integer, Object> network =
          networkBuilder.allowsParallelEdges(true).allowsSelfLoops(true).build();

      assertThat(network.nodes()).isEmpty();

		}
		switch msgp.UnsafeString(field) {
		case "Totals":
			var zb0002 uint32
			zb0002, err = dc.ReadArrayHeader()
			if err != nil {
				err = msgp.WrapError(err, "Totals")
				return
			}
			if zb0002 != uint32(60) {
				err = msgp.ArrayError{Wanted: uint32(60), Got: zb0002}
				return
			}
			for za0001 := range z.Totals {
				err = z.Totals[za0001].DecodeMsg(dc)
				if err != nil {

    Random random = new Random();
    int warmupPermits = 10;
    double[] coldFactorsToTest = {2.0, 3.0, 10.0};
    double[] qpsToTest = {4.0, 2.0, 1.0, 0.5, 0.1};
    for (int trial = 0; trial < 100; trial++) {
      for (double coldFactor : coldFactorsToTest) {
        for (double qps : qpsToTest) {
          // If warmupPermits = maxPermits - thresholdPermits then

    Random random = new Random();
    int warmupPermits = 10;
    double[] coldFactorsToTest = {2.0, 3.0, 10.0};
    double[] qpsToTest = {4.0, 2.0, 1.0, 0.5, 0.1};
    for (int trial = 0; trial < 100; trial++) {
      for (double coldFactor : coldFactorsToTest) {
        for (double qps : qpsToTest) {
          // If warmupPermits = maxPermits - thresholdPermits then