metrics: pull library and introduce ResettingTimer and InfluxDB reporter (#15910)

* go-metrics: fork library and introduce ResettingTimer and InfluxDB reporter.

* vendor: change nonsense/go-metrics to ethersphere/go-metrics

* go-metrics: add tests. move ResettingTimer logic from reporter to type.

* all, metrics: pull in metrics package in go-ethereum

* metrics/test: make sure metrics are enabled for tests

* metrics: apply gosimple rules

* metrics/exp, internal/debug: init expvar endpoint when starting pprof server

* internal/debug: tiny comment formatting fix

metrics/histogram_test.go

@@ -0,0 +1,95 @@
+package metrics
+
+import "testing"
+
+func BenchmarkHistogram(b *testing.B) {
+	h := NewHistogram(NewUniformSample(100))
+	b.ResetTimer()
+	for i := 0; i < b.N; i++ {
+		h.Update(int64(i))
+	}
+}
+
+func TestGetOrRegisterHistogram(t *testing.T) {
+	r := NewRegistry()
+	s := NewUniformSample(100)
+	NewRegisteredHistogram("foo", r, s).Update(47)
+	if h := GetOrRegisterHistogram("foo", r, s); 1 != h.Count() {
+		t.Fatal(h)
+	}
+}
+
+func TestHistogram10000(t *testing.T) {
+	h := NewHistogram(NewUniformSample(100000))
+	for i := 1; i <= 10000; i++ {
+		h.Update(int64(i))
+	}
+	testHistogram10000(t, h)
+}
+
+func TestHistogramEmpty(t *testing.T) {
+	h := NewHistogram(NewUniformSample(100))
+	if count := h.Count(); 0 != count {
+		t.Errorf("h.Count(): 0 != %v\n", count)
+	}
+	if min := h.Min(); 0 != min {
+		t.Errorf("h.Min(): 0 != %v\n", min)
+	}
+	if max := h.Max(); 0 != max {
+		t.Errorf("h.Max(): 0 != %v\n", max)
+	}
+	if mean := h.Mean(); 0.0 != mean {
+		t.Errorf("h.Mean(): 0.0 != %v\n", mean)
+	}
+	if stdDev := h.StdDev(); 0.0 != stdDev {
+		t.Errorf("h.StdDev(): 0.0 != %v\n", stdDev)
+	}
+	ps := h.Percentiles([]float64{0.5, 0.75, 0.99})
+	if 0.0 != ps[0] {
+		t.Errorf("median: 0.0 != %v\n", ps[0])
+	}
+	if 0.0 != ps[1] {
+		t.Errorf("75th percentile: 0.0 != %v\n", ps[1])
+	}
+	if 0.0 != ps[2] {
+		t.Errorf("99th percentile: 0.0 != %v\n", ps[2])
+	}
+}
+
+func TestHistogramSnapshot(t *testing.T) {
+	h := NewHistogram(NewUniformSample(100000))
+	for i := 1; i <= 10000; i++ {
+		h.Update(int64(i))
+	}
+	snapshot := h.Snapshot()
+	h.Update(0)
+	testHistogram10000(t, snapshot)
+}
+
+func testHistogram10000(t *testing.T, h Histogram) {
+	if count := h.Count(); 10000 != count {
+		t.Errorf("h.Count(): 10000 != %v\n", count)
+	}
+	if min := h.Min(); 1 != min {
+		t.Errorf("h.Min(): 1 != %v\n", min)
+	}
+	if max := h.Max(); 10000 != max {
+		t.Errorf("h.Max(): 10000 != %v\n", max)
+	}
+	if mean := h.Mean(); 5000.5 != mean {
+		t.Errorf("h.Mean(): 5000.5 != %v\n", mean)
+	}
+	if stdDev := h.StdDev(); 2886.751331514372 != stdDev {
+		t.Errorf("h.StdDev(): 2886.751331514372 != %v\n", stdDev)
+	}
+	ps := h.Percentiles([]float64{0.5, 0.75, 0.99})
+	if 5000.5 != ps[0] {
+		t.Errorf("median: 5000.5 != %v\n", ps[0])
+	}
+	if 7500.75 != ps[1] {
+		t.Errorf("75th percentile: 7500.75 != %v\n", ps[1])
+	}
+	if 9900.99 != ps[2] {
+		t.Errorf("99th percentile: 9900.99 != %v\n", ps[2])
+	}
+}