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benchmarker.go
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benchmarker.go
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package leafnodes
import (
"math"
"time"
"sync"
"github.com/onsi/ginkgo/types"
)
type benchmarker struct {
mu sync.Mutex
measurements map[string]*types.SpecMeasurement
orderCounter int
}
func newBenchmarker() *benchmarker {
return &benchmarker{
measurements: make(map[string]*types.SpecMeasurement, 0),
}
}
func (b *benchmarker) Time(name string, body func(), info ...interface{}) (elapsedTime time.Duration) {
t := time.Now()
body()
elapsedTime = time.Since(t)
b.mu.Lock()
defer b.mu.Unlock()
measurement := b.getMeasurement(name, "Fastest Time", "Slowest Time", "Average Time", "s", info...)
measurement.Results = append(measurement.Results, elapsedTime.Seconds())
return
}
func (b *benchmarker) RecordValue(name string, value float64, info ...interface{}) {
measurement := b.getMeasurement(name, "Smallest", " Largest", " Average", "", info...)
b.mu.Lock()
defer b.mu.Unlock()
measurement.Results = append(measurement.Results, value)
}
func (b *benchmarker) getMeasurement(name string, smallestLabel string, largestLabel string, averageLabel string, units string, info ...interface{}) *types.SpecMeasurement {
measurement, ok := b.measurements[name]
if !ok {
var computedInfo interface{}
computedInfo = nil
if len(info) > 0 {
computedInfo = info[0]
}
measurement = &types.SpecMeasurement{
Name: name,
Info: computedInfo,
Order: b.orderCounter,
SmallestLabel: smallestLabel,
LargestLabel: largestLabel,
AverageLabel: averageLabel,
Units: units,
Results: make([]float64, 0),
}
b.measurements[name] = measurement
b.orderCounter++
}
return measurement
}
func (b *benchmarker) measurementsReport() map[string]*types.SpecMeasurement {
b.mu.Lock()
defer b.mu.Unlock()
for _, measurement := range b.measurements {
measurement.Smallest = math.MaxFloat64
measurement.Largest = -math.MaxFloat64
sum := float64(0)
sumOfSquares := float64(0)
for _, result := range measurement.Results {
if result > measurement.Largest {
measurement.Largest = result
}
if result < measurement.Smallest {
measurement.Smallest = result
}
sum += result
sumOfSquares += result * result
}
n := float64(len(measurement.Results))
measurement.Average = sum / n
measurement.StdDeviation = math.Sqrt(sumOfSquares/n - (sum/n)*(sum/n))
}
return b.measurements
}