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:

    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 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;

  int hashString_4(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += Objects.hashCode(S0, S1, S2, S3);
    }
    return dummy;
  }

  @Benchmark
  int hashString_5(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += Objects.hashCode(S0, S1, S2, S3, S4);
    }
    return dummy;
  }

  @Benchmark
  int hashMixed_5(int reps) {
    int dummy = 0;

    }
  }

  @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
  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;

  @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.
  }

  int copyArrayList(int reps) {
    int size = this.size;
    int dummy = 0;
    for (int rep = 0; rep < reps; rep++) {
      List<Object> builder = new ArrayList<>();
      for (int i = 0; i < size; i++) {
        builder.add(OBJECT);
      }
      dummy += ImmutableList.copyOf(builder).size();
    }
    return dummy;
  }

  @Benchmark
  int copyPreSizedArrayList(int reps) {
    int size = this.size;
    int tmp = 0;