Method ToFloat

model/histogram/histogram.go:365–409

ToFloat returns a FloatHistogram representation of the Histogram. It is a deep copy (e.g. spans are not shared). The function accepts a FloatHistogram as an argument whose memory will be reused and overwritten if provided. If this argument is nil, a new FloatHistogram will be allocated.

(fh *FloatHistogram)

// argument whose memory will be reused and overwritten if provided. If this
// argument is nil, a new FloatHistogram will be allocated.
func (h *Histogram) ToFloat(fh *FloatHistogram) *FloatHistogram {
	if fh == nil {
		fh = &FloatHistogram{}
	}
	fh.CounterResetHint = h.CounterResetHint
	fh.Schema = h.Schema
	fh.Count = float64(h.Count)
	fh.Sum = h.Sum

	if h.UsesCustomBuckets() {
		fh.ZeroThreshold = 0
		fh.ZeroCount = 0
		fh.NegativeSpans = clearIfNotNil(fh.NegativeSpans)
		fh.NegativeBuckets = clearIfNotNil(fh.NegativeBuckets)
		// Custom values are interned, it's ok to copy by reference.
		fh.CustomValues = h.CustomValues
	} else {
		fh.ZeroThreshold = h.ZeroThreshold
		fh.ZeroCount = float64(h.ZeroCount)

		fh.NegativeSpans = resize(fh.NegativeSpans, len(h.NegativeSpans))
		copy(fh.NegativeSpans, h.NegativeSpans)

		fh.NegativeBuckets = resize(fh.NegativeBuckets, len(h.NegativeBuckets))
		var currentNegative float64
		for i, b := range h.NegativeBuckets {
			currentNegative += float64(b)
			fh.NegativeBuckets[i] = currentNegative
		}
		// Custom values are interned, no need to reset.
		fh.CustomValues = nil
	}

	fh.PositiveSpans = resize(fh.PositiveSpans, len(h.PositiveSpans))
	copy(fh.PositiveSpans, h.PositiveSpans)

	fh.PositiveBuckets = resize(fh.PositiveBuckets, len(h.PositiveBuckets))
	var currentPositive float64
	for i, b := range h.PositiveBuckets {
		currentPositive += float64(b)
		fh.PositiveBuckets[i] = currentPositive
	}

	return fh
}

func resize[T any](items []T, n int) []T {
	if cap(items) < n {