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Diffstat (limited to 'vendor/go.opencensus.io/stats/view/aggregation_data.go')
-rw-r--r--vendor/go.opencensus.io/stats/view/aggregation_data.go207
1 files changed, 0 insertions, 207 deletions
diff --git a/vendor/go.opencensus.io/stats/view/aggregation_data.go b/vendor/go.opencensus.io/stats/view/aggregation_data.go
deleted file mode 100644
index 88c500b..0000000
--- a/vendor/go.opencensus.io/stats/view/aggregation_data.go
+++ /dev/null
@@ -1,207 +0,0 @@
-// 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
-}