Go mod tidy

1 files changed, 0 insertions, 147 deletions

diff --git a/vendor/go.opencensus.io/stats/view/view_to_metric.go b/vendor/go.opencensus.io/stats/view/view_to_metric.go
deleted file mode 100644
index 57d615e..0000000
--- a/vendor/go.opencensus.io/stats/view/view_to_metric.go
+++ /dev/null
@@ -1,147 +0,0 @@
-// Copyright 2019, 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 (
-	"time"
-
-	"go.opencensus.io/resource"
-
-	"go.opencensus.io/metric/metricdata"
-	"go.opencensus.io/stats"
-)
-
-func getUnit(unit string) metricdata.Unit {
-	switch unit {
-	case "1":
-		return metricdata.UnitDimensionless
-	case "ms":
-		return metricdata.UnitMilliseconds
-	case "By":
-		return metricdata.UnitBytes
-	}
-	return metricdata.UnitDimensionless
-}
-
-func getType(v *View) metricdata.Type {
-	m := v.Measure
-	agg := v.Aggregation
-
-	switch agg.Type {
-	case AggTypeSum:
-		switch m.(type) {
-		case *stats.Int64Measure:
-			return metricdata.TypeCumulativeInt64
-		case *stats.Float64Measure:
-			return metricdata.TypeCumulativeFloat64
-		default:
-			panic("unexpected measure type")
-		}
-	case AggTypeDistribution:
-		return metricdata.TypeCumulativeDistribution
-	case AggTypeLastValue:
-		switch m.(type) {
-		case *stats.Int64Measure:
-			return metricdata.TypeGaugeInt64
-		case *stats.Float64Measure:
-			return metricdata.TypeGaugeFloat64
-		default:
-			panic("unexpected measure type")
-		}
-	case AggTypeCount:
-		switch m.(type) {
-		case *stats.Int64Measure:
-			return metricdata.TypeCumulativeInt64
-		case *stats.Float64Measure:
-			return metricdata.TypeCumulativeInt64
-		default:
-			panic("unexpected measure type")
-		}
-	default:
-		panic("unexpected aggregation type")
-	}
-}
-
-func getLabelKeys(v *View) []metricdata.LabelKey {
-	labelKeys := []metricdata.LabelKey{}
-	for _, k := range v.TagKeys {
-		labelKeys = append(labelKeys, metricdata.LabelKey{Key: k.Name()})
-	}
-	return labelKeys
-}
-
-func viewToMetricDescriptor(v *View) *metricdata.Descriptor {
-	return &metricdata.Descriptor{
-		Name:        v.Name,
-		Description: v.Description,
-		Unit:        convertUnit(v),
-		Type:        getType(v),
-		LabelKeys:   getLabelKeys(v),
-	}
-}
-
-func convertUnit(v *View) metricdata.Unit {
-	switch v.Aggregation.Type {
-	case AggTypeCount:
-		return metricdata.UnitDimensionless
-	default:
-		return getUnit(v.Measure.Unit())
-	}
-}
-
-func toLabelValues(row *Row, expectedKeys []metricdata.LabelKey) []metricdata.LabelValue {
-	labelValues := []metricdata.LabelValue{}
-	tagMap := make(map[string]string)
-	for _, tag := range row.Tags {
-		tagMap[tag.Key.Name()] = tag.Value
-	}
-
-	for _, key := range expectedKeys {
-		if val, ok := tagMap[key.Key]; ok {
-			labelValues = append(labelValues, metricdata.NewLabelValue(val))
-		} else {
-			labelValues = append(labelValues, metricdata.LabelValue{})
-		}
-	}
-	return labelValues
-}
-
-func rowToTimeseries(v *viewInternal, row *Row, now time.Time) *metricdata.TimeSeries {
-	return &metricdata.TimeSeries{
-		Points:      []metricdata.Point{row.Data.toPoint(v.metricDescriptor.Type, now)},
-		LabelValues: toLabelValues(row, v.metricDescriptor.LabelKeys),
-		StartTime:   row.Data.StartTime(),
-	}
-}
-
-func viewToMetric(v *viewInternal, r *resource.Resource, now time.Time) *metricdata.Metric {
-	rows := v.collectedRows()
-	if len(rows) == 0 {
-		return nil
-	}
-
-	ts := []*metricdata.TimeSeries{}
-	for _, row := range rows {
-		ts = append(ts, rowToTimeseries(v, row, now))
-	}
-
-	m := &metricdata.Metric{
-		Descriptor: *v.metricDescriptor,
-		TimeSeries: ts,
-		Resource:   r,
-	}
-	return m
-}