diff options
Diffstat (limited to 'vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go')
| -rw-r--r-- | vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go | 45 |
1 files changed, 38 insertions, 7 deletions
diff --git a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go index 32a62e1b8..ae1f59344 100644 --- a/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go +++ b/vendor/go.opentelemetry.io/otel/sdk/metric/internal/aggregate/exponential_histogram.go @@ -48,7 +48,12 @@ type expoHistogramDataPoint[N int64 | float64] struct { zeroCount uint64 } -func newExpoHistogramDataPoint[N int64 | float64](attrs attribute.Set, maxSize int, maxScale int32, noMinMax, noSum bool) *expoHistogramDataPoint[N] { // nolint:revive // we need this control flag +func newExpoHistogramDataPoint[N int64 | float64]( + attrs attribute.Set, + maxSize int, + maxScale int32, + noMinMax, noSum bool, +) *expoHistogramDataPoint[N] { // nolint:revive // we need this control flag f := math.MaxFloat64 ma := N(f) // if N is int64, max will overflow to -9223372036854775808 mi := N(-f) @@ -283,7 +288,12 @@ func (b *expoBuckets) downscale(delta int32) { // newExponentialHistogram returns an Aggregator that summarizes a set of // measurements as an exponential histogram. Each histogram is scoped by attributes // and the aggregation cycle the measurements were made in. -func newExponentialHistogram[N int64 | float64](maxSize, maxScale int32, noMinMax, noSum bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *expoHistogram[N] { +func newExponentialHistogram[N int64 | float64]( + maxSize, maxScale int32, + noMinMax, noSum bool, + limit int, + r func(attribute.Set) FilteredExemplarReservoir[N], +) *expoHistogram[N] { return &expoHistogram[N]{ noSum: noSum, noMinMax: noMinMax, @@ -314,7 +324,12 @@ type expoHistogram[N int64 | float64] struct { start time.Time } -func (e *expoHistogram[N]) measure(ctx context.Context, value N, fltrAttr attribute.Set, droppedAttr []attribute.KeyValue) { +func (e *expoHistogram[N]) measure( + ctx context.Context, + value N, + fltrAttr attribute.Set, + droppedAttr []attribute.KeyValue, +) { // Ignore NaN and infinity. if math.IsInf(float64(value), 0) || math.IsNaN(float64(value)) { return @@ -360,11 +375,19 @@ func (e *expoHistogram[N]) delta(dest *metricdata.Aggregation) int { hDPts[i].ZeroThreshold = 0.0 hDPts[i].PositiveBucket.Offset = val.posBuckets.startBin - hDPts[i].PositiveBucket.Counts = reset(hDPts[i].PositiveBucket.Counts, len(val.posBuckets.counts), len(val.posBuckets.counts)) + hDPts[i].PositiveBucket.Counts = reset( + hDPts[i].PositiveBucket.Counts, + len(val.posBuckets.counts), + len(val.posBuckets.counts), + ) copy(hDPts[i].PositiveBucket.Counts, val.posBuckets.counts) hDPts[i].NegativeBucket.Offset = val.negBuckets.startBin - hDPts[i].NegativeBucket.Counts = reset(hDPts[i].NegativeBucket.Counts, len(val.negBuckets.counts), len(val.negBuckets.counts)) + hDPts[i].NegativeBucket.Counts = reset( + hDPts[i].NegativeBucket.Counts, + len(val.negBuckets.counts), + len(val.negBuckets.counts), + ) copy(hDPts[i].NegativeBucket.Counts, val.negBuckets.counts) if !e.noSum { @@ -413,11 +436,19 @@ func (e *expoHistogram[N]) cumulative(dest *metricdata.Aggregation) int { hDPts[i].ZeroThreshold = 0.0 hDPts[i].PositiveBucket.Offset = val.posBuckets.startBin - hDPts[i].PositiveBucket.Counts = reset(hDPts[i].PositiveBucket.Counts, len(val.posBuckets.counts), len(val.posBuckets.counts)) + hDPts[i].PositiveBucket.Counts = reset( + hDPts[i].PositiveBucket.Counts, + len(val.posBuckets.counts), + len(val.posBuckets.counts), + ) copy(hDPts[i].PositiveBucket.Counts, val.posBuckets.counts) hDPts[i].NegativeBucket.Offset = val.negBuckets.startBin - hDPts[i].NegativeBucket.Counts = reset(hDPts[i].NegativeBucket.Counts, len(val.negBuckets.counts), len(val.negBuckets.counts)) + hDPts[i].NegativeBucket.Counts = reset( + hDPts[i].NegativeBucket.Counts, + len(val.negBuckets.counts), + len(val.negBuckets.counts), + ) copy(hDPts[i].NegativeBucket.Counts, val.negBuckets.counts) if !e.noSum { |