import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.BucketOrder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramInterval;
import org.opensearch.search.aggregations.bucket.histogram.Histogram;
import org.opensearch.search.aggregations.bucket.terms.Terms;
import org.opensearch.search.aggregations.metrics.Avg;
import org.opensearch.search.aggregations.metrics.Cardinality;

				return
			}
		case "Histogram":
			var zb0004 uint32
			zb0004, bts, err = msgp.ReadMapHeaderBytes(bts)
			if err != nil {
				err = msgp.WrapError(err, "Histogram")
				return
			}
			if z.Histogram == nil {
				z.Histogram = make(map[string]uint64, zb0004)
			} else if len(z.Histogram) > 0 {
				clear(z.Histogram)
			}
			for zb0004 > 0 {
				var za0006 uint64

				t.Error("got objects", e.Objects, "want", w.objs)
			}
			if e.Versions != uint64(w.objs) {
				t.Error("got versions", e.Versions, "want", w.objs)
			}
			if e.ObjSizes != w.oSizes {
				t.Error("got histogram", e.ObjSizes, "want", w.oSizes)
			}
		})
	}

	files = []usageTestFile{
		{
			name: "newfolder/afile",
			size: 4,
		},
		{
			name: "newfolder/anotherone",
			size: 1,
		},

	{"GREATER_THAN_512_MB", humanize.MiByte * 512, math.MaxInt64},
}

// ObjectsHistogramIntervals is the list of all intervals
// of object sizes to be included in objects histogram.
// Note: this histogram expands 1024B-1MB to incl. 1024B-64KB, 64KB-256KB, 256KB-512KB and 512KB-1MiB
var ObjectsHistogramIntervals = [dataUsageBucketLen]objectHistogramInterval{
	{"LESS_THAN_1024_B", 0, humanize.KiByte - 1},

	sync.RWMutex  // protects requestsCount only
	requestsCount map[string]struct {
		success int64
		failure int64
	}
	histogram *prometheus.HistogramVec
}

var globalTierMetrics = tierMetrics{
	requestsCount: make(map[string]struct {
		success int64
		failure int64
	}),
	histogram: prometheus.NewHistogramVec(prometheus.HistogramOpts{
		Name:    "tier_ttlb_seconds",

// dataUsageHash is the hash type used.
type dataUsageHash string

// sizeHistogramV1 is size histogram V1, which has fewer intervals esp. between
// 1024B and 1MiB.
type sizeHistogramV1 [dataUsageBucketLenV1]uint64

// sizeHistogram is a size histogram.
type sizeHistogram [dataUsageBucketLen]uint64

// versionsHistogram is a histogram of number of versions in an object.
type versionsHistogram [dataUsageVersionLen]uint64

	ReqFail uint64                   `json:"kms_req_failure"` // Number of requests that failed with an undefined error
	Latency map[time.Duration]uint64 `json:"kms_resp_time"`   // Latency histogram of all requests
}

var defaultLatencyBuckets = []time.Duration{
	10 * time.Millisecond,
	50 * time.Millisecond,
	100 * time.Millisecond,
	250 * time.Millisecond,
	500 * time.Millisecond,

			bucket,
		)

		for k, v := range usageInfo.ObjectSizesHistogram {
			ch <- prometheus.MustNewConstMetric(
				prometheus.NewDesc(
					prometheus.BuildFQName(bucketNamespace, "objects", "histogram"),
					"Total number of objects of different sizes in a bucket",
					[]string{"bucket", "object_size"}, nil),
				prometheus.GaugeValue,
				float64(v),
				bucket,
				k,
			)
		}

		VariableLabels:       make(map[string]string, len(m.VariableLabels)),
		Histogram:            make(map[string]uint64, len(m.Histogram)),
	}
	maps.Copy(metric.StaticLabels, m.StaticLabels)
	maps.Copy(metric.VariableLabels, m.VariableLabels)
	maps.Copy(metric.Histogram, m.Histogram)
	return metric
}

// Get - returns cached value always upton the configured TTL,

- Enables Prometheus native histogram support in kube-proxy when feature gate is enabled.
  Histograms are exposed in both classic and native formats using exponential bucket configuration (factor=1.1, max buckets=160) ([#137781](https://github.com/kubernetes/kubernetes/pull/137781), [@richabanker](https://github.com/richabanker)) [SIG Network]
- Enables Prometheus native histogram support in kubelet when feature gate is enabled.