}
  }

  @Benchmark
  int arraysSortNoComparator(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      Integer[] copy = inputArrays[i & 0xFF].clone();
      sort(copy);
      tmp += copy[0];
    }
    return tmp;
  }

  @Benchmark
  int arraysSortOrderingNatural(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      Integer[] copy = inputArrays[i & 0xFF].clone();

  }

  @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;

    random.nextBytes(testBytes);
  }

  @Benchmark
  int hasher(int reps) {
    HashFunction hashFunction = hashFunctionEnum.getHashFunction();
    int result = 37;
    for (int i = 0; i < reps; i++) {
      result ^= hashFunction.newHasher().putBytes(testBytes).hash().asBytes()[0];
    }
    return result;
  }

  @Benchmark
  int hashFunction(int reps) {
    HashFunction hashFunction = hashFunctionEnum.getHashFunction();

  @Benchmark
  long stopwatch(int reps) {
    long total = 0;
    for (int i = 0; i < reps; i++) {
      Stopwatch s = Stopwatch.createStarted();
      // here is where you would do something
      total += s.elapsed(NANOSECONDS);
    }
    return total;
  }

  @Benchmark
  long manual(int reps) {
    long total = 0;
    for (int i = 0; i < reps; i++) {
      long start = System.nanoTime();

  // CRC32C

  @Benchmark
  byte crc32cHashFunction(int reps) {
    return runHashFunction(reps, Hashing.crc32c());
  }

  // Adler32

  @Benchmark
  byte adler32HashFunction(int reps) {
    return runHashFunction(reps, Hashing.adler32());
  }

  @Benchmark
  byte adler32Checksum(int reps) throws Exception {
    byte result = 0x01;
    for (int i = 0; i < reps; i++) {
      Adler32 checksum = new Adler32();

    }
  }

  @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++) {

  }

  @Benchmark
  public long timeComplete_Normal(int reps) throws Exception {
    long r = 0;
    List<Facade<Integer>> list = new ArrayList<>(reps);
    for (int i = 0; i < reps; i++) {
      final Facade<Integer> localFuture = impl.newFacade();
      list.add(localFuture);
      localFuture.set(i);
    }
    for (int i = 0; i < reps; i++) {
      r += list.get(i).get();
    }
    return r;
  }

  }

  @Benchmark
  int charSplitter(int reps) {
    int total = 0;

    for (int i = 0; i < reps; i++) {
      total += Iterables.size(CHAR_SPLITTER.split(input));
    }

    return total;
  }

  @Benchmark
  int stringSplitter(int reps) {
    int total = 0;

    for (int i = 0; i < reps; i++) {
      total += Iterables.size(STRING_SPLITTER.split(input));
    }

  @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;

        A proposal that works through the design along with the implications of the change can be opened as a KEP.
        See https://git.k8s.io/enhancements/keps#kubernetes-enhancement-proposals-keps
    validations:
      required: true

  - type: textarea
    id: rationale
    attributes:
      label: Why is this needed?
    validations: