You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: syslog.go
    path of file: ./repos/plumber/vendor/github.com/rcrowley/go-metrics
    
    the code of the file until where you have to start completion: // +build !windows

package metrics

import (
	"fmt"
	"log/syslog"
	"time"
)

// Output each metric in the given registry to syslog periodically using
// the given syslogger.
func Syslog(r Registry, d time.Duration, w *syslog.Writer) {
	for _ = range time.Tick(d) {
		r.Each(func(name string, i interface{}) {
			switch metric := i.(type) {
			case Counter:
				w.Info(fmt.Sprintf("counter %s: count: %d", name, metric.Count()))
			case Gauge:
				w.Info(fmt.Sprintf("gauge %s: value: %d", name, metric.Value()))
			case GaugeFloat64:
				w.Info(fmt.Sprintf("gauge %s: value: %f", name, metric.Value()))
			case Healthcheck:
				metric.Check()
				w.Info(fmt.Sprintf("healthcheck %s: error: %v", name, metric.Error()))
			case Histogram:
				h := metric.Snapshot()
				ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
				w.Info(fmt.Sprintf(
					"histogram %s: count: %d min: %d max: %d mean: %.2f stddev: %.
    
func Syslog(r Registry, d time.Duration, w *syslog.Writer) {
	for _ = range time.Tick(d) {
		r.Each(func(name string, i interface{}) {
			switch metric := i.(type) {
			case Counter:
				w.Info(fmt.Sprintf("counter %s: count: %d", name, metric.Count()))
			case Gauge:
				w.Info(fmt.Sprintf("gauge %s: value: %d", name, metric.Value()))
			case GaugeFloat64:
				w.Info(fmt.Sprintf("gauge %s: value: %f", name, metric.Value()))
			case Healthcheck:
				metric.Check()
				w.Info(fmt.Sprintf("healthcheck %s: error: %v", name, metric.Error()))
			case Histogram:
				h := metric.Snapshot()
				ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
				w.Info(fmt.Sprintf(
					"histogram %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f",
					name,
					h.Count(),
					h.Min(),
					h.Max(),
					h.Mean(),
					h.StdDev(),
					ps[0],
					ps[1],
					ps[2],
					ps[3],
					ps[4],
				))
			case Meter:
				m := metric.Snapshot()
				w.Info(fmt.Sprintf(
					"meter %s: count: %d 1-min: %.2f 5-min: %.2f 15-min: %.2f mean: %.2f",
					name,
					m.Count(),
					m.Rate1(),
					m.Rate5(),
					m.Rate15(),
					m.RateMean(),
				))
			case Timer:
				t := metric.Snapshot()
				ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
				w.Info(fmt.Sprintf(
					"timer %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f 1-min: %.2f 5-min: %.2f 15-min: %.2f mean-rate: %.2f",
					name,
					t.Count(),
					t.Min(),
					t.Max(),
					t.Mean(),
					t.StdDev(),
					ps[0],
					ps[1],
					ps[2],
					ps[3],
					ps[4],
					t.Rate1(),
					t.Rate5(),
					t.Rate15(),
					t.RateMean(),
				))
			}
		})
	}
}