base(title, targets, desc=''):
      heatmap.new(title)
      + heatmap.queryOptions.withTargets(targets)
      + heatmap.queryOptions.withInterval('1m')
      + options.calculation.xBuckets.withMode('size')
      + options.calculation.xBuckets.withValue('1min')
      + options.withCellGap(0)
      + options.color.withMode('scheme')
      + options.color.withScheme('Spectral')
      + options.color.withSteps(128)

                testCoverage to buckets
            } else {
                testCoverage to mergeUnknownSubprojectsIntoFirstAvailableBucket(buckets, model.subprojects.subprojects.filter { subprojectsInModelButNotInBucketJson.contains(it.name) })
            }
        }
    }

  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()
			}

// It should never be used directly since buckets are
// distributed deterministically.
// Therefore no cluster locks are required.
var localMetacacheMgr = &metacacheManager{
	buckets: make(map[string]*bucketMetacache),
	trash:   make(map[string]metacache),
}

type metacacheManager struct {
	mu      sync.RWMutex
	init    sync.Once
	buckets map[string]*bucketMetacache

        bucketsOfFirstElement + bucketsOfRestElements
    } else {
        val buckets = arrayListOf(largestElement)
        var restCapacity = expectedBucketSize - toIntFunction(largestElement)
        while (restCapacity > 0 && list.isNotEmpty() && buckets.size < maxNumberInBucket) {
            val smallestElement = list.findLast { searched -> buckets.all { canRunTogether(it, searched) } } ?: break
            list.remove(smallestElement)

	// 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 {
		for _, bkt := range buckets {
			if bkt == bucket {
				return true
			}
		}

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() {

  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) {