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",

type blockRecord struct {
	count  float64
	cycles int64
}

var (
	mbuckets atomic.UnsafePointer // *bucket, memory profile buckets
	bbuckets atomic.UnsafePointer // *bucket, blocking profile buckets
	xbuckets atomic.UnsafePointer // *bucket, mutex profile buckets
	buckhash atomic.UnsafePointer // *buckhashArray

	mProfCycle mProfCycleHolder
)

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

apiVersion: release-notes/v2
kind: feature
area: telemetry
issue: []
releaseNotes:
  - |

:"datasource","uid":"-- Mixed --"},"description":"Count of active and pending proxies managed by each instance.\nPending is expected to converge to zero.\n","gridPos":{"h":10,"w":8,"x":8,"y":14},"id":13,"interval":"1m","options":{"calculation":{"xBuckets":{"mode":"size","value":"1min"}},"cellGap":0,"color":{"mode":"scheme","scheme":"Spectral","steps":128},"yAxis":{"decimals":0,"unit":"s"}},"pluginVersion":"v11.0.0","targets":[{"datasource":{"type":"prometheus","uid":"$datasource"},"expr":"sum(ra...

		if up != sz {
			nbuckets = up / t.Bucket.Size_
		}
	}

	if dirtyalloc == nil {
		buckets = newarray(t.Bucket, int(nbuckets))
	} else {
		// dirtyalloc was previously generated by
		// the above newarray(t.Bucket, int(nbuckets))
		// but may not be empty.
		buckets = dirtyalloc
		size := t.Bucket.Size_ * nbuckets
		if t.Bucket.Pointers() {
			memclrHasPointers(buckets, size)
		} else {

// started in the middle of a grow, when the keys are NaNs.
func TestMapNanGrowIterator(t *testing.T) {
	m := make(map[float64]int)
	nan := math.NaN()
	const nBuckets = 16
	// To fill nBuckets buckets takes LOAD * nBuckets keys.
	nKeys := int(nBuckets * runtime.HashLoad)

	// Get map to full point with nan keys.
	for i := 0; i < nKeys; i++ {
		m[nan] = i
	}
	// Trigger grow
	m[1.0] = 1
	delete(m, 1.0)

	// Counts contains the weights for each histogram bucket.
	//
	// Given N buckets, Count[n] is the weight of the range
	// [bucket[n], bucket[n+1]), for 0 <= n < N.
	Counts []uint64

	// Buckets contains the boundaries of the histogram buckets, in increasing order.
	//
	// Buckets[0] is the inclusive lower bound of the minimum bucket while
	// Buckets[len(Buckets)-1] is the exclusive upper bound of the maximum bucket.