}

  @Benchmark
  int slowFactorial(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += oldSlowFactorial(slowFactorials[j]).intValue();
    }
    return tmp;
  }

  @Benchmark
  int factorial(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

    }
  }

  @Benchmark
  int arrayIndexed(int reps) {
    int sum = 0;
    for (int i = 0; i < reps; i++) {
      for (int index = 0; index < size; index++) {
        sum += array[index].hashCode();
      }
    }
    return sum;
  }

  @Benchmark
  int arrayIndexedLength(int reps) {
    int sum = 0;
    for (int i = 0; i < reps; i++) {
      for (int index = 0; index < array.length; index++) {

## Changelog since v1.17.4

## Changes by Kind

### Feature

- deps: Update to Golang 1.13.9
  - build: Remove kube-cross image building ([#89399](https://github.com/kubernetes/kubernetes/pull/89399), [@justaugustus](https://github.com/justaugustus)) [SIG Release, Storage and Testing]

  @Benchmark
  int branchFreeLtIntInlined(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & SAMPLE_MASK;
      int x = xInts[j];
      int y = yInts[j];
      int z = constant[j];
      tmp += z + ((x - y) >>> (Integer.SIZE - 1));
    }
    return tmp;
  }

  @Benchmark
  int branchFreeLtInt(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & SAMPLE_MASK;

    requests.set(0);
    misses.set(0);
  }

  @Benchmark
  int time(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += cache.getUnchecked(nextRandomKey());
    }
    requests.addAndGet(reps);
    return dummy;
  }

  private int nextRandomKey() {
    int a = random.nextInt(max);

    /*

    }
  }

  @Benchmark
  long divide(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += UnsignedLongs.divide(longs[j], divisors[j]);
    }
    return tmp;
  }

  @Benchmark
  long remainder(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

    if (omitNulls) {
      helper = helper.omitNullValues();
    }
    return helper;
  }

  @Benchmark
  int toString(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      MoreObjects.ToStringHelper helper = newHelper();
      for (int j = 0; j < dataSize; ++j) {
        dataset.addEntries(helper);
      }

    }
  }

  @Benchmark
  int pow(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += LongMath.pow(positive[j], exponents[j]);
    }
    return tmp;
  }

  @Benchmark
  int mod(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += LongMath.mod(longs[j], positive[j]);

  @BeforeExperiment
  void setUp() {
    eventBus = new EventBus("for benchmarking purposes");
    eventBus.register(this);
  }

  @Benchmark
  void postStrings(int reps) {
    for (int i = 0; i < reps; i++) {
      eventBus.post("hello there");
    }
  }

  @Subscribe
  public void handleStrings(String string) {
    // Nothing to do here.
  }

    }
  }

  @Benchmark
  int log2(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += BigIntegerMath.log2(positive[j], mode);
    }
    return tmp;
  }

  @Benchmark
  int log10(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;