});
            final Terms agg = list.getAggregations().get(SearchLogPager.LOG_TYPE_CLICK_COUNT);
            final List<? extends Terms.Bucket> buckets = agg.getBuckets();
            updatePagerByAgg(pager, buckets.size());
            return buckets.stream().map(e -> {
                final Map<String, Object> map = new HashMap<>();

  static Object createTable(int buckets) {
    if (buckets < 2
        || buckets > Ints.MAX_POWER_OF_TWO
        || Integer.highestOneBit(buckets) != buckets) {
      throw new IllegalArgumentException("must be power of 2 between 2^1 and 2^30: " + buckets);
    }
    if (buckets <= BYTE_MAX_SIZE) {
      return new byte[buckets];
    } else if (buckets <= SHORT_MAX_SIZE) {

			// For Bucket metrics we need to set the buckets argument inside the
			// metric group, so that it will affect collection. If no buckets
			// are provided, we will not return bucket metrics.
			if bmg, ok := h.metricsData.bucketMGMap[collectorPath]; ok {
				if len(buckets) == 0 {
					continue
				}
				unLocker := bmg.LockAndSetBuckets(buckets)
				defer unLocker()
			}

   */
  public static int consistentHash(HashCode hashCode, int buckets) {
    return consistentHash(hashCode.padToLong(), buckets);
  }

  /**
   * Assigns to {@code input} a "bucket" in the range {@code [0, buckets)}, in a uniform manner that
   * minimizes the need for remapping as {@code buckets} grows. That is, {@code consistentHash(h,
   * n)} equals:
   *
   * <ul>

			if err != nil {
				err = msgp.WrapError(err, "Buckets")
				return
			}
			if cap(z.Buckets) >= int(zb0002) {
				z.Buckets = (z.Buckets)[:zb0002]
			} else {
				z.Buckets = make([]string, zb0002)
			}
			for za0001 := range z.Buckets {
				z.Buckets[za0001], err = dc.ReadString()
				if err != nil {
					err = msgp.WrapError(err, "Buckets", za0001)
					return
				}
			}
		case "rbs":

	buckets, _ := z.ListBuckets(ctx, BucketOptions{})
	// Buckets data are dispersed in multiple pools/sets, make
	// sure to heal all bucket metadata configuration.
	buckets = append(buckets, BucketInfo{
		Name: pathJoin(minioMetaBucket, minioConfigPrefix),
	}, BucketInfo{
		Name: pathJoin(minioMetaBucket, bucketMetaPrefix),
	})

	// Heal latest buckets first.

	// Objects total count across all buckets
	ObjectsTotalCount uint64 `json:"objectsCount"`

	// Versions total count across all buckets
	VersionsTotalCount uint64 `json:"versionsCount"`

	// Delete markers total count across all buckets
	DeleteMarkersTotalCount uint64 `json:"deleteMarkersCount"`

	// Objects total size across all buckets

}

// SelectionFunction for buckets
type SelectionFunction func(bucket string) bool

// SelectBuckets will select all the buckets passed in.
func SelectBuckets(buckets ...string) SelectionFunction {
	if len(buckets) == 0 {
		return func(bucket string) bool {
			return true
		}
	}
	return func(bucket string) bool {
		return slices.Contains(buckets, bucket)
	}
}

import java.util.LinkedList

const val MASTER_CHECK_CONFIGURATION = "Gradle_Master_Check"
const val MAX_PROJECT_NUMBER_IN_BUCKET = 11

/**
 * Process test-class-data.json and generates test-buckets.json
 *
 * Usage: `mvn compile exec:java@update-test-buckets -DinputTestClassDataJson=/path/to/test-class-data.json`.
 * You can get the JSON file as an artifacts of the "autoUpdateTestSplitJsonOnGradleMaster" pipeline in TeamCity.
 */
fun main() {

    @Param(value = { "1000" })
    private int buckets;

    private DelayableWriteable<InternalAggregations> results;

    @Setup
    public void initResults() {
        results = DelayableWriteable.referencing(InternalAggregations.from(List.of(newTerms(true))));
    }

    private StringTerms newTerms(boolean withNested) {
        List<StringTerms.Bucket> resultBuckets = new ArrayList<>(buckets);
        for (int i = 0; i < buckets; i++) {