The Prometheus monitoring system and time series database.
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// Copyright 2023 The Prometheus 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 chunks
import (
"github.com/prometheus/prometheus/model/histogram"
"github.com/prometheus/prometheus/tsdb/chunkenc"
)
type Samples interface {
Get(i int) Sample
Len() int
}
type Sample interface {
T() int64
F() float64
H() *histogram.Histogram
FH() *histogram.FloatHistogram
Type() chunkenc.ValueType
Copy() Sample // Returns a deep copy.
}
type SampleSlice []Sample
func (s SampleSlice) Get(i int) Sample { return s[i] }
func (s SampleSlice) Len() int { return len(s) }
type sample struct {
t int64
f float64
h *histogram.Histogram
fh *histogram.FloatHistogram
}
func (s sample) T() int64 {
return s.t
}
func (s sample) F() float64 {
return s.f
}
func (s sample) H() *histogram.Histogram {
return s.h
}
func (s sample) FH() *histogram.FloatHistogram {
return s.fh
}
func (s sample) Type() chunkenc.ValueType {
switch {
case s.h != nil:
return chunkenc.ValHistogram
case s.fh != nil:
return chunkenc.ValFloatHistogram
default:
return chunkenc.ValFloat
}
}
func (s sample) Copy() Sample {
c := sample{t: s.t, f: s.f}
if s.h != nil {
c.h = s.h.Copy()
}
if s.fh != nil {
c.fh = s.fh.Copy()
}
return c
}
// GenerateSamples starting at start and counting up numSamples.
func GenerateSamples(start, numSamples int) []Sample {
return generateSamples(start, numSamples, func(i int) Sample {
return sample{
t: int64(i),
f: float64(i),
}
})
}
func generateSamples(start, numSamples int, gen func(int) Sample) []Sample {
samples := make([]Sample, 0, numSamples)
for i := start; i < start+numSamples; i++ {
samples = append(samples, gen(i))
}
return samples
}