}
		}
		labels1["le"] = fmt.Sprintf("%.3f", math.Inf(+1))

		metric := MetricV2{
			Description:    desc,
			VariableLabels: labels1,
			Value:          float64(dtoMetric.Histogram.GetSampleCount()),
		}
		if limitBuckets && labels1["bucket"] != "" {
			buckets[labels1["bucket"]] = append(buckets[labels1["bucket"]], metric)
		} else {
			metrics = append(metrics, metric)
		}
	}