func ExampleNewStrider() {
data := stat.Float64Slice{
.0421, .0941, .1064, .0242,
.1331, .0773, .0243, .0815,
.1186, .0356, .0728, .0999,
.0614, .0479}
strider := stat.NewStrider(data, 4)
fmt.Printf("mean data is %.4f\n", stat.Mean(data))
fmt.Printf("mean strider is %.4f\n", stat.Mean(strider))
// Output:
// mean data is 0.0728
// mean strider is 0.0979
}
func main() {
flag.Parse()
if *cpuprofile != "" {
f, err := os.Create(*cpuprofile)
if err != nil {
log.Fatal(err)
}
pprof.StartCPUProfile(f)
defer pprof.StopCPUProfile()
}
log.Print("NumCPU: ", runtime.NumCPU())
log.Print("GOMAXPROCS: ", runtime.GOMAXPROCS(-1))
metrics = make(stat.IntSlice, *sampleSize)
cfg, err := os.Open(*fixconfig)
if err != nil {
log.Fatal(err)
}
appSettings, err := quickfix.ParseSettings(cfg)
if err != nil {
log.Fatal(err)
}
logFactory := quickfix.NewNullLogFactory()
storeFactory := quickfix.NewMemoryStoreFactory()
acceptor, err := quickfix.NewAcceptor(app, storeFactory, appSettings, logFactory)
if err != nil {
log.Fatal(err)
}
if err = acceptor.Start(); err != nil {
log.Fatal(err)
}
<-allDone
elapsed := time.Since(t0)
metricsUS := make(stat.Float64Slice, *sampleSize)
for i, durationNS := range metrics {
metricsUS[i] = float64(durationNS) / 1000.0
}
mean := stat.Mean(metricsUS)
max, maxIndex := stat.Max(metricsUS)
stdev := stat.Sd(metricsUS)
log.Printf("Sample mean is %g us", mean)
log.Printf("Sample max is %g us (%v)", max, maxIndex)
log.Printf("Standard Dev is %g us", stdev)
log.Printf("Processed %d msg in %v [effective rate: %.4f msg/s]", count, elapsed, float64(count)/float64(elapsed)*float64(time.Second))
}
func main() {
flag.Parse()
if *cpuprofile != "" {
defer pprof.StopCPUProfile()
}
log.Print("NumCPU: ", runtime.NumCPU())
log.Print("GOMAXPROCS: ", runtime.GOMAXPROCS(-1))
metrics = make(stat.IntSlice, *sampleSize)
cfg, err := os.Open(*fixconfig)
if err != nil {
log.Fatal(err)
}
appSettings, err := quickfix.ParseSettings(cfg)
if err != nil {
log.Fatal(err)
}
logFactory := quickfix.NewNullLogFactory()
acceptor, err := quickfix.NewAcceptor(app, appSettings, logFactory)
if err != nil {
log.Fatal(err)
}
if err = acceptor.Start(); err != nil {
log.Fatal(err)
}
<-allDone
metricsUS := make(stat.Float64Slice, *sampleSize)
for i, durationNS := range metrics {
metricsUS[i] = float64(durationNS) / 1000.0
}
mean := stat.Mean(metricsUS)
max, maxIndex := stat.Max(metricsUS)
stdev := stat.Sd(metricsUS)
log.Printf("Sample mean is %g us", mean)
log.Printf("Sample max is %g us (%v)", max, maxIndex)
log.Printf("Standard Dev is %g us", stdev)
}
func closeToMean(allnames []string, maxDist float64) (f Filter, mean, stdev float64) {
data := make(stat.IntSlice, len(allnames))
for i, name := range allnames {
data[i] = int64(len(name))
}
mean = stat.Mean(data)
stdev = stat.SdMean(data, mean)
maxMean := int(mean + stdev*maxDist)
f = func(name string) error {
diff := float64(len(name)) - mean
dist := diff / stdev
if dist > maxDist {
return fmt.Errorf("This package name is %.1f std.dev. longer than normal."+
" It should be at most %d characters long.", dist, maxMean)
}
return nil
}
return
}
func ExampleMean() {
data := stat.Float64Slice{17.2, 18.1, 16.5, 18.3, 12.6}
mean := stat.Mean(data)
fmt.Printf("The sample mean is %g", mean)
// Output: The sample mean is 16.54
}
