VOL-1867 move simulated olt from voltha-go to voltha-simolt-adapter

Sourced from voltha-go commit 251a11c0ffe60512318a644cd6ce0dc4e12f4018

Change-Id: I8e7ee4da1fed739b3c461917301d2729a79307f5
diff --git a/vendor/github.com/rcrowley/go-metrics/writer.go b/vendor/github.com/rcrowley/go-metrics/writer.go
new file mode 100644
index 0000000..091e971
--- /dev/null
+++ b/vendor/github.com/rcrowley/go-metrics/writer.go
@@ -0,0 +1,100 @@
+package metrics
+
+import (
+	"fmt"
+	"io"
+	"sort"
+	"time"
+)
+
+// Write sorts writes each metric in the given registry periodically to the
+// given io.Writer.
+func Write(r Registry, d time.Duration, w io.Writer) {
+	for _ = range time.Tick(d) {
+		WriteOnce(r, w)
+	}
+}
+
+// WriteOnce sorts and writes metrics in the given registry to the given
+// io.Writer.
+func WriteOnce(r Registry, w io.Writer) {
+	var namedMetrics namedMetricSlice
+	r.Each(func(name string, i interface{}) {
+		namedMetrics = append(namedMetrics, namedMetric{name, i})
+	})
+
+	sort.Sort(namedMetrics)
+	for _, namedMetric := range namedMetrics {
+		switch metric := namedMetric.m.(type) {
+		case Counter:
+			fmt.Fprintf(w, "counter %s\n", namedMetric.name)
+			fmt.Fprintf(w, "  count:       %9d\n", metric.Count())
+		case Gauge:
+			fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
+			fmt.Fprintf(w, "  value:       %9d\n", metric.Value())
+		case GaugeFloat64:
+			fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
+			fmt.Fprintf(w, "  value:       %f\n", metric.Value())
+		case Healthcheck:
+			metric.Check()
+			fmt.Fprintf(w, "healthcheck %s\n", namedMetric.name)
+			fmt.Fprintf(w, "  error:       %v\n", metric.Error())
+		case Histogram:
+			h := metric.Snapshot()
+			ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
+			fmt.Fprintf(w, "histogram %s\n", namedMetric.name)
+			fmt.Fprintf(w, "  count:       %9d\n", h.Count())
+			fmt.Fprintf(w, "  min:         %9d\n", h.Min())
+			fmt.Fprintf(w, "  max:         %9d\n", h.Max())
+			fmt.Fprintf(w, "  mean:        %12.2f\n", h.Mean())
+			fmt.Fprintf(w, "  stddev:      %12.2f\n", h.StdDev())
+			fmt.Fprintf(w, "  median:      %12.2f\n", ps[0])
+			fmt.Fprintf(w, "  75%%:         %12.2f\n", ps[1])
+			fmt.Fprintf(w, "  95%%:         %12.2f\n", ps[2])
+			fmt.Fprintf(w, "  99%%:         %12.2f\n", ps[3])
+			fmt.Fprintf(w, "  99.9%%:       %12.2f\n", ps[4])
+		case Meter:
+			m := metric.Snapshot()
+			fmt.Fprintf(w, "meter %s\n", namedMetric.name)
+			fmt.Fprintf(w, "  count:       %9d\n", m.Count())
+			fmt.Fprintf(w, "  1-min rate:  %12.2f\n", m.Rate1())
+			fmt.Fprintf(w, "  5-min rate:  %12.2f\n", m.Rate5())
+			fmt.Fprintf(w, "  15-min rate: %12.2f\n", m.Rate15())
+			fmt.Fprintf(w, "  mean rate:   %12.2f\n", m.RateMean())
+		case Timer:
+			t := metric.Snapshot()
+			ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
+			fmt.Fprintf(w, "timer %s\n", namedMetric.name)
+			fmt.Fprintf(w, "  count:       %9d\n", t.Count())
+			fmt.Fprintf(w, "  min:         %9d\n", t.Min())
+			fmt.Fprintf(w, "  max:         %9d\n", t.Max())
+			fmt.Fprintf(w, "  mean:        %12.2f\n", t.Mean())
+			fmt.Fprintf(w, "  stddev:      %12.2f\n", t.StdDev())
+			fmt.Fprintf(w, "  median:      %12.2f\n", ps[0])
+			fmt.Fprintf(w, "  75%%:         %12.2f\n", ps[1])
+			fmt.Fprintf(w, "  95%%:         %12.2f\n", ps[2])
+			fmt.Fprintf(w, "  99%%:         %12.2f\n", ps[3])
+			fmt.Fprintf(w, "  99.9%%:       %12.2f\n", ps[4])
+			fmt.Fprintf(w, "  1-min rate:  %12.2f\n", t.Rate1())
+			fmt.Fprintf(w, "  5-min rate:  %12.2f\n", t.Rate5())
+			fmt.Fprintf(w, "  15-min rate: %12.2f\n", t.Rate15())
+			fmt.Fprintf(w, "  mean rate:   %12.2f\n", t.RateMean())
+		}
+	}
+}
+
+type namedMetric struct {
+	name string
+	m    interface{}
+}
+
+// namedMetricSlice is a slice of namedMetrics that implements sort.Interface.
+type namedMetricSlice []namedMetric
+
+func (nms namedMetricSlice) Len() int { return len(nms) }
+
+func (nms namedMetricSlice) Swap(i, j int) { nms[i], nms[j] = nms[j], nms[i] }
+
+func (nms namedMetricSlice) Less(i, j int) bool {
+	return nms[i].name < nms[j].name
+}