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)

               },
               "id": 8,
               "interval": "1m",
               "options": {
                  "calculate": true,
                  "calculation": {
                     "xBuckets": {
                        "mode": "size",
                        "value": "1min"
                     }
                  },
                  "cellGap": 2,
                  "color": {

            "w": 8,
            "x": 8,
            "y": 14
         },
         "id": 13,
         "interval": "1m",
         "options": {
            "calculation": {
               "xBuckets": {
                  "mode": "size",
                  "value": "1min"
               }
            },
            "cellGap": 0,
            "color": {
               "mode": "scheme",

[
	{
		"buckets":[
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"dependency-management"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"configuration-cache"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"tooling-api"
				]

	return sys.initialized
}

// Loads bucket metadata for all buckets into BucketMetadataSys.
func (sys *BucketMetadataSys) init(ctx context.Context, buckets []string) {
	count := globalEndpoints.ESCount() * 10
	for {
		if len(buckets) < count {
			sys.concurrentLoad(ctx, buckets)
			break
		}
		sys.concurrentLoad(ctx, buckets[:count])
		buckets = buckets[count:]
	}

	sys.Lock()
	sys.initialized = true

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

            });
            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) {

		Cache: make(map[string]dataUsageEntry, len(oldCache.Cache)),
	}

	// Put all buckets into channel.
	bucketCh := make(chan BucketInfo, len(buckets))

	// Shuffle buckets to ensure total randomness of buckets, being scanned.
	// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned
	// in different order per erasure set, this wider spread is needed when

			// 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()
			}