// time occurrence from a list of time.
func TestCommonTime(t *testing.T) {
	// List of test cases for common modTime.
	testCases := []struct {
		times  []time.Time
		time   time.Time
		quorum int
	}{
		{
			// 1. Tests common times when slice has varying time elements.
			[]time.Time{
				time.Unix(0, 1).UTC(),
				time.Unix(0, 2).UTC(),
				time.Unix(0, 3).UTC(),
				time.Unix(0, 3).UTC(),

	r := testing.BenchmarkResult{
		N: 100,
		T: 240 * time.Nanosecond,
	}
	if r.NsPerOp() != 2 {
		t.Errorf("NsPerOp: expected 2, actual %v", r.NsPerOp())
	}
	if want, got := "     100\t         2.400 ns/op", r.String(); want != got {
		t.Errorf("String: expected %q, actual %q", want, got)
	}

	// Test sub-1 ns/op (issue #31005)
	r.T = 40 * time.Nanosecond

	MetricRotationInterval = env.Register("METRIC_ROTATION_INTERVAL", 0*time.Second,
		"Metric scope rotation interval, set to 0 to disable the metric scope rotation").Get()
	MetricGracefulDeletionInterval = env.Register("METRIC_GRACEFUL_DELETION_INTERVAL", 5*time.Minute,
		"Metric expiry graceful deletion interval. No-op if METRIC_ROTATION_INTERVAL is disabled.").Get()

This reflects Gradle’s initialization time, which consists mostly of:

- JVM initialization and class loading
- Downloading the Gradle distribution if you’re using the wrapper
- Starting the daemon if a suitable one isn’t already running
- Executing Gradle initialization scripts

Even when a build execution has a long startup time, subsequent runs
usually see a dramatic drop off in startup time.

	}
	return true
}

func (i *objectCacheItem) setLastAccessTime(time time.Time) {
	i.lock.Lock()
	defer i.lock.Unlock()
	i.lastAccessTime = time
}

func (i *objectCacheItem) setImmutable() {
	i.lock.Lock()
	defer i.lock.Unlock()
	i.immutable = true
}

func (i *objectCacheItem) stopIfIdle(now time.Time, maxIdleTime time.Duration) bool {
	i.lock.Lock()
	defer i.lock.Unlock()

		}(i)
	}

	// Let all the established watches soak request loops soak
	time.Sleep(5 * time.Second)

	// Update CRD and ensure that all watches are gracefully terminated.
	updateCRD()

	drained := make(chan struct{})
	go func() {
		defer close(drained)
		wg.Wait()
	}()

	select {
	case <-drained:
	case <-time.After(wait.ForeverTestTimeout):
		t.Fatal("timed out waiting for watchers to be terminated")

certain special time ranges.
If a goroutine has spent no time in any special time ranges, it is excluded from
the table.
For example, how much time it spent helping the GC. Note that these times do
overlap with the times from the first table.
In general the goroutine may not be executing in these special time ranges.
For example, it may have blocked while trying to help the GC.

			compilationResult.UsesOldSelf = true
			break
		}
	}

	// TODO: Ideally we could configure the per expression limit at validation time and set it to the remaining overall budget, but we would either need a way to pass in a limit at evaluation time or move program creation to validation time
	prog, err := ruleEnv.Program(ast,
		cel.CostLimit(perCallLimit),
		cel.CostTracking(estimator),

	*traceviewer.Emitter
	startTime trace.Time
	endTime   trace.Time
}

// elapsed returns the elapsed time between the trace time and the start time
// of the trace.
func (ctx *traceContext) elapsed(now trace.Time) time.Duration {
	return now.Sub(ctx.startTime)
}

type genOpts struct {
	mode      traceviewer.Mode
	startTime time.Duration
	endTime   time.Duration

	// Used if mode != 0.

parallel sections to utilize multiple agents. With parallel pipelines you can measure the wall-clock time it takes for a set of changes to go from having been pushed to version control to being built, verified and deployed. The build cache's effect in this case can be measured in the reduction of the time developers have to wait for feedback from CI.

You can also measure the cumulative time your build agents spent building a changeset, which will give you a sense of the amount of work the...