From de6d2c524430287c699aaa898c1325da6afea539 Mon Sep 17 00:00:00 2001 From: Niall Sheridan Date: Wed, 20 Jun 2018 22:39:07 +0100 Subject: Update dependencies --- .../stats/view/aggregation_data.go | 207 +++++++++++++++++++++ 1 file changed, 207 insertions(+) create mode 100644 vendor/go.opencensus.io/stats/view/aggregation_data.go (limited to 'vendor/go.opencensus.io/stats/view/aggregation_data.go') diff --git a/vendor/go.opencensus.io/stats/view/aggregation_data.go b/vendor/go.opencensus.io/stats/view/aggregation_data.go new file mode 100644 index 0000000..88c500b --- /dev/null +++ b/vendor/go.opencensus.io/stats/view/aggregation_data.go @@ -0,0 +1,207 @@ +// Copyright 2017, OpenCensus Authors +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// + +package view + +import ( + "math" +) + +// AggregationData represents an aggregated value from a collection. +// They are reported on the view data during exporting. +// Mosts users won't directly access aggregration data. +type AggregationData interface { + isAggregationData() bool + addSample(v float64) + clone() AggregationData + equal(other AggregationData) bool +} + +const epsilon = 1e-9 + +// CountData is the aggregated data for the Count aggregation. +// A count aggregation processes data and counts the recordings. +// +// Most users won't directly access count data. +type CountData struct { + Value int64 +} + +func (a *CountData) isAggregationData() bool { return true } + +func (a *CountData) addSample(v float64) { + a.Value = a.Value + 1 +} + +func (a *CountData) clone() AggregationData { + return &CountData{Value: a.Value} +} + +func (a *CountData) equal(other AggregationData) bool { + a2, ok := other.(*CountData) + if !ok { + return false + } + + return a.Value == a2.Value +} + +// SumData is the aggregated data for the Sum aggregation. +// A sum aggregation processes data and sums up the recordings. +// +// Most users won't directly access sum data. +type SumData struct { + Value float64 +} + +func (a *SumData) isAggregationData() bool { return true } + +func (a *SumData) addSample(f float64) { + a.Value += f +} + +func (a *SumData) clone() AggregationData { + return &SumData{Value: a.Value} +} + +func (a *SumData) equal(other AggregationData) bool { + a2, ok := other.(*SumData) + if !ok { + return false + } + return math.Pow(a.Value-a2.Value, 2) < epsilon +} + +// DistributionData is the aggregated data for the +// Distribution aggregation. +// +// Most users won't directly access distribution data. +type DistributionData struct { + Count int64 // number of data points aggregated + Min float64 // minimum value in the distribution + Max float64 // max value in the distribution + Mean float64 // mean of the distribution + SumOfSquaredDev float64 // sum of the squared deviation from the mean + CountPerBucket []int64 // number of occurrences per bucket + bounds []float64 // histogram distribution of the values +} + +func newDistributionData(bounds []float64) *DistributionData { + return &DistributionData{ + CountPerBucket: make([]int64, len(bounds)+1), + bounds: bounds, + Min: math.MaxFloat64, + Max: math.SmallestNonzeroFloat64, + } +} + +// Sum returns the sum of all samples collected. +func (a *DistributionData) Sum() float64 { return a.Mean * float64(a.Count) } + +func (a *DistributionData) variance() float64 { + if a.Count <= 1 { + return 0 + } + return a.SumOfSquaredDev / float64(a.Count-1) +} + +func (a *DistributionData) isAggregationData() bool { return true } + +func (a *DistributionData) addSample(f float64) { + if f < a.Min { + a.Min = f + } + if f > a.Max { + a.Max = f + } + a.Count++ + a.incrementBucketCount(f) + + if a.Count == 1 { + a.Mean = f + return + } + + oldMean := a.Mean + a.Mean = a.Mean + (f-a.Mean)/float64(a.Count) + a.SumOfSquaredDev = a.SumOfSquaredDev + (f-oldMean)*(f-a.Mean) +} + +func (a *DistributionData) incrementBucketCount(f float64) { + if len(a.bounds) == 0 { + a.CountPerBucket[0]++ + return + } + + for i, b := range a.bounds { + if f < b { + a.CountPerBucket[i]++ + return + } + } + a.CountPerBucket[len(a.bounds)]++ +} + +func (a *DistributionData) clone() AggregationData { + counts := make([]int64, len(a.CountPerBucket)) + copy(counts, a.CountPerBucket) + c := *a + c.CountPerBucket = counts + return &c +} + +func (a *DistributionData) equal(other AggregationData) bool { + a2, ok := other.(*DistributionData) + if !ok { + return false + } + if a2 == nil { + return false + } + if len(a.CountPerBucket) != len(a2.CountPerBucket) { + return false + } + for i := range a.CountPerBucket { + if a.CountPerBucket[i] != a2.CountPerBucket[i] { + return false + } + } + return a.Count == a2.Count && a.Min == a2.Min && a.Max == a2.Max && math.Pow(a.Mean-a2.Mean, 2) < epsilon && math.Pow(a.variance()-a2.variance(), 2) < epsilon +} + +// LastValueData returns the last value recorded for LastValue aggregation. +type LastValueData struct { + Value float64 +} + +func (l *LastValueData) isAggregationData() bool { + return true +} + +func (l *LastValueData) addSample(v float64) { + l.Value = v +} + +func (l *LastValueData) clone() AggregationData { + return &LastValueData{l.Value} +} + +func (l *LastValueData) equal(other AggregationData) bool { + a2, ok := other.(*LastValueData) + if !ok { + return false + } + return l.Value == a2.Value +} -- cgit v1.2.3