buf.Reset()
				templ.Execute(&buf, "World")
			}
		})
	})
}

func TestReportMetric(t *testing.T) {
	res := testing.Benchmark(func(b *testing.B) {
		b.ReportMetric(12345, "ns/op")
		b.ReportMetric(0.2, "frobs/op")
	})
	// Test built-in overriding.
	if res.NsPerOp() != 12345 {
		t.Errorf("NsPerOp: expected %v, actual %v", 12345, res.NsPerOp())
	}
	// Test stringing.

					// This will give an estimate of the total ops/s.
					latency := float64(atomic.LoadInt64(&lat)) / float64(time.Millisecond)
					b.ReportMetric(float64(n)*float64(ops)/spent.Seconds(), "vops/s")
					b.ReportMetric(latency/float64(ops), "ms/op")
				}
			})
		}
	})
	b.Run("rpc", func(b *testing.B) {
		for par := 1; par <= 32; par *= 2 {

	slices.Sort(pauses)
	var total uint64
	for _, ns := range pauses {
		total += ns
	}
	// ns/op for this benchmark is average STW time.
	b.ReportMetric(float64(total)/float64(b.N), "ns/op")
	b.ReportMetric(float64(pauses[len(pauses)*95/100]), "p95-ns/STW")
	b.ReportMetric(float64(pauses[len(pauses)*50/100]), "p50-ns/STW")
}

func BenchmarkPoolExpensiveNew(b *testing.B) {

	b.ReportMetric(0, "ns/op")
	b.ReportMetric(0, "B/op")
	b.ReportMetric(0, "allocs/op")

	// Sort latencies then report percentiles.
	slices.Sort(latencies)
	b.ReportMetric(float64(latencies[len(latencies)*50/100]), "p50-ns")
	b.ReportMetric(float64(latencies[len(latencies)*90/100]), "p90-ns")
	b.ReportMetric(float64(latencies[len(latencies)*99/100]), "p99-ns")
}

	if b.timerOn {
		d += highPrecisionTimeSince(b.start)
	}
	return d
}

// ReportMetric adds "n unit" to the reported benchmark results.
// If the metric is per-iteration, the caller should divide by b.N,
// and by convention units should end in "/op".
// ReportMetric overrides any previously reported value for the same unit.
// ReportMetric panics if unit is the empty string or if unit contains
// any whitespace.

	max := Duration(0)
	for _, s := range stats {
		if s.max > max {
			max = s.max
		}
		total += s.sum
		samples += float64(s.count)
	}
	b.ReportMetric(0, "ns/op")
	b.ReportMetric(total/samples, "avg-late-ns")
	b.ReportMetric(float64(max.Nanoseconds()), "max-late-ns")
}

// Benchmark timer latency with staggered wakeup times and varying CPU bound
// workloads. https://golang.org/issue/38860

			}
			b.StopTimer()

			// Sort latencies then report percentiles.
			slices.Sort(latencies)
			b.ReportMetric(float64(latencies[len(latencies)*50/100]), "p50-ns")
			b.ReportMetric(float64(latencies[len(latencies)*90/100]), "p90-ns")
			b.ReportMetric(float64(latencies[len(latencies)*99/100]), "p99-ns")
		}
		return func(b *testing.B) {
			b.Run("idle", runOne)

	b.ReportMetric(0, "ns/op")
	b.ReportMetric(0, "B/op")
	b.ReportMetric(0, "allocs/op")

	// Sort latencies then report percentiles.
	sort.Slice(latencies, func(i, j int) bool {
		return latencies[i] < latencies[j]
	})
	b.ReportMetric(float64(latencies[len(latencies)*50/100]), "p50-ns")
	b.ReportMetric(float64(latencies[len(latencies)*90/100]), "p90-ns")

			// Cannot use b.Logf, it truncates
			benchmarkScope.Infof("Generated: %d %s", i, s)
		}
	}
	bytes := 0
	for _, r := range m {
		bytes += len(r.GetResource().Value)
	}
	b.ReportMetric(float64(bytes)/1000, "kb/msg")
	b.ReportMetric(float64(len(m)), "resources/msg")
	b.StartTimer()
}

func createEndpointsConfig(numEndpoints, numServices, numNetworks int) []config.Config {
	result := make([]config.Config, 0, numServices)

			// requests for a single entry, so we do both.
			s.doAuthForTokenN(r.Intn(s.tokenCount), a)
			s.doAuthForTokenN(0, a)
		}
	})
	b.StopTimer()

	b.ReportMetric(float64(lookups)/float64(b.N), "lookups/op")
}

// Add a test version of the audit context with a pre-populated event for easy annotation
// extraction.
func withAudit(ctx context.Context) context.Context {