mirror of
https://gitlab.com/pulsechaincom/go-pulse.git
synced 2024-12-22 19:40:36 +00:00
7dc100714d
This PR adds counter metrics for the CPU system and the Geth process. Currently the only metrics available for these items are gauges. Gauges are fine when the consumer scrapes metrics data at the same interval as Geth produces new values (every 3 seconds), but it is likely that most consumers will not scrape that often. Intervals of 10, 15, or maybe even 30 seconds are probably more common. So the problem is, how does the consumer estimate what the CPU was doing in between scrapes. With a counter, it's easy ... you just subtract two successive values and divide by the time to get a nice, accurate average. But with a gauge, you can't do that. A gauge reading is an instantaneous picture of what was happening at that moment, but it gives you no idea about what was going on between scrapes. Taking an average of values is meaningless.
194 lines
6.0 KiB
Go
194 lines
6.0 KiB
Go
// Hook go-metrics into expvar
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// on any /debug/metrics request, load all vars from the registry into expvar, and execute regular expvar handler
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package exp
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import (
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"expvar"
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"fmt"
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"net/http"
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"sync"
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"github.com/ethereum/go-ethereum/log"
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"github.com/ethereum/go-ethereum/metrics"
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"github.com/ethereum/go-ethereum/metrics/prometheus"
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)
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type exp struct {
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expvarLock sync.Mutex // expvar panics if you try to register the same var twice, so we must probe it safely
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registry metrics.Registry
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}
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func (exp *exp) expHandler(w http.ResponseWriter, r *http.Request) {
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// load our variables into expvar
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exp.syncToExpvar()
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// now just run the official expvar handler code (which is not publicly callable, so pasted inline)
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w.Header().Set("Content-Type", "application/json; charset=utf-8")
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fmt.Fprintf(w, "{\n")
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first := true
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expvar.Do(func(kv expvar.KeyValue) {
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if !first {
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fmt.Fprintf(w, ",\n")
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}
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first = false
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fmt.Fprintf(w, "%q: %s", kv.Key, kv.Value)
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})
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fmt.Fprintf(w, "\n}\n")
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}
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// Exp will register an expvar powered metrics handler with http.DefaultServeMux on "/debug/vars"
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func Exp(r metrics.Registry) {
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h := ExpHandler(r)
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// this would cause a panic:
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// panic: http: multiple registrations for /debug/vars
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// http.HandleFunc("/debug/vars", e.expHandler)
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// haven't found an elegant way, so just use a different endpoint
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http.Handle("/debug/metrics", h)
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http.Handle("/debug/metrics/prometheus", prometheus.Handler(r))
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}
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// ExpHandler will return an expvar powered metrics handler.
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func ExpHandler(r metrics.Registry) http.Handler {
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e := exp{sync.Mutex{}, r}
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return http.HandlerFunc(e.expHandler)
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}
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// Setup starts a dedicated metrics server at the given address.
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// This function enables metrics reporting separate from pprof.
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func Setup(address string) {
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m := http.NewServeMux()
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m.Handle("/debug/metrics", ExpHandler(metrics.DefaultRegistry))
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m.Handle("/debug/metrics/prometheus", prometheus.Handler(metrics.DefaultRegistry))
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log.Info("Starting metrics server", "addr", fmt.Sprintf("http://%s/debug/metrics", address))
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go func() {
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if err := http.ListenAndServe(address, m); err != nil {
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log.Error("Failure in running metrics server", "err", err)
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}
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}()
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}
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func (exp *exp) getInt(name string) *expvar.Int {
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var v *expvar.Int
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exp.expvarLock.Lock()
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p := expvar.Get(name)
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if p != nil {
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v = p.(*expvar.Int)
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} else {
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v = new(expvar.Int)
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expvar.Publish(name, v)
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}
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exp.expvarLock.Unlock()
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return v
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}
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func (exp *exp) getFloat(name string) *expvar.Float {
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var v *expvar.Float
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exp.expvarLock.Lock()
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p := expvar.Get(name)
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if p != nil {
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v = p.(*expvar.Float)
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} else {
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v = new(expvar.Float)
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expvar.Publish(name, v)
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}
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exp.expvarLock.Unlock()
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return v
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}
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func (exp *exp) publishCounter(name string, metric metrics.Counter) {
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v := exp.getInt(name)
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v.Set(metric.Count())
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}
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func (exp *exp) publishCounterFloat64(name string, metric metrics.CounterFloat64) {
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v := exp.getFloat(name)
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v.Set(metric.Count())
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}
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func (exp *exp) publishGauge(name string, metric metrics.Gauge) {
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v := exp.getInt(name)
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v.Set(metric.Value())
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}
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func (exp *exp) publishGaugeFloat64(name string, metric metrics.GaugeFloat64) {
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exp.getFloat(name).Set(metric.Value())
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}
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func (exp *exp) publishHistogram(name string, metric metrics.Histogram) {
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h := metric.Snapshot()
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ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
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exp.getInt(name + ".count").Set(h.Count())
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exp.getFloat(name + ".min").Set(float64(h.Min()))
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exp.getFloat(name + ".max").Set(float64(h.Max()))
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exp.getFloat(name + ".mean").Set(h.Mean())
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exp.getFloat(name + ".std-dev").Set(h.StdDev())
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exp.getFloat(name + ".50-percentile").Set(ps[0])
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exp.getFloat(name + ".75-percentile").Set(ps[1])
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exp.getFloat(name + ".95-percentile").Set(ps[2])
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exp.getFloat(name + ".99-percentile").Set(ps[3])
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exp.getFloat(name + ".999-percentile").Set(ps[4])
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}
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func (exp *exp) publishMeter(name string, metric metrics.Meter) {
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m := metric.Snapshot()
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exp.getInt(name + ".count").Set(m.Count())
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exp.getFloat(name + ".one-minute").Set(m.Rate1())
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exp.getFloat(name + ".five-minute").Set(m.Rate5())
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exp.getFloat(name + ".fifteen-minute").Set(m.Rate15())
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exp.getFloat(name + ".mean").Set(m.RateMean())
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}
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func (exp *exp) publishTimer(name string, metric metrics.Timer) {
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t := metric.Snapshot()
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ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
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exp.getInt(name + ".count").Set(t.Count())
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exp.getFloat(name + ".min").Set(float64(t.Min()))
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exp.getFloat(name + ".max").Set(float64(t.Max()))
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exp.getFloat(name + ".mean").Set(t.Mean())
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exp.getFloat(name + ".std-dev").Set(t.StdDev())
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exp.getFloat(name + ".50-percentile").Set(ps[0])
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exp.getFloat(name + ".75-percentile").Set(ps[1])
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exp.getFloat(name + ".95-percentile").Set(ps[2])
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exp.getFloat(name + ".99-percentile").Set(ps[3])
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exp.getFloat(name + ".999-percentile").Set(ps[4])
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exp.getFloat(name + ".one-minute").Set(t.Rate1())
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exp.getFloat(name + ".five-minute").Set(t.Rate5())
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exp.getFloat(name + ".fifteen-minute").Set(t.Rate15())
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exp.getFloat(name + ".mean-rate").Set(t.RateMean())
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}
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func (exp *exp) publishResettingTimer(name string, metric metrics.ResettingTimer) {
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t := metric.Snapshot()
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ps := t.Percentiles([]float64{50, 75, 95, 99})
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exp.getInt(name + ".count").Set(int64(len(t.Values())))
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exp.getFloat(name + ".mean").Set(t.Mean())
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exp.getInt(name + ".50-percentile").Set(ps[0])
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exp.getInt(name + ".75-percentile").Set(ps[1])
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exp.getInt(name + ".95-percentile").Set(ps[2])
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exp.getInt(name + ".99-percentile").Set(ps[3])
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}
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func (exp *exp) syncToExpvar() {
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exp.registry.Each(func(name string, i interface{}) {
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switch i := i.(type) {
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case metrics.Counter:
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exp.publishCounter(name, i)
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case metrics.CounterFloat64:
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exp.publishCounterFloat64(name, i)
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case metrics.Gauge:
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exp.publishGauge(name, i)
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case metrics.GaugeFloat64:
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exp.publishGaugeFloat64(name, i)
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case metrics.Histogram:
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exp.publishHistogram(name, i)
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case metrics.Meter:
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exp.publishMeter(name, i)
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case metrics.Timer:
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exp.publishTimer(name, i)
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case metrics.ResettingTimer:
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exp.publishResettingTimer(name, i)
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default:
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panic(fmt.Sprintf("unsupported type for '%s': %T", name, i))
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}
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})
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}
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