// Idle time is counted as any time that a P is on the P idle list plus idle mark
	// time. Idle mark workers soak up time that the application spends idle.
	//
	// On a heavily undersubscribed system, any additional idle time can skew GC CPU
	// utilization, because the GC might be executing continuously and thrashing,
	// yet the CPU utilization with respect to GOMAXPROCS will be quite low, so

	b.StopTimer()
	stop()

	// Disable the default */op metrics.
	// ns/op doesn't mean anything because it's an average, but we
	// have a sleep in our b.N loop above which skews this significantly.
	b.ReportMetric(0, "ns/op")
	b.ReportMetric(0, "B/op")
	b.ReportMetric(0, "allocs/op")

	// Sort latencies then report percentiles.
	slices.Sort(latencies)

			if version > currentVersion {
				err = fmt.Errorf("cannot import %q (%v), export data is newer version - update tool", path, e)
			} else {
				err = fmt.Errorf("cannot import %q (%v), possibly version skew - reinstall package", path, e)
			}
		}
	}()

	r := &intReader{dataReader, path}

	version = int64(r.uint64())
	switch version {
	case iexportVersionGo1_18, iexportVersionPosCol, iexportVersionGo1_11:

	// Initialize the metrics beforehand because this could
	// allocate and skew the stats.
	metricsLock()
	initMetrics()

	systemstack(func() {
		// Donate the racectx to g0. readMetricsLocked calls into the race detector
		// via map access.
		getg().racectx = getg().m.curg.racectx

		// Read the metrics once before in case it allocates and skews the metrics.

		_, err = Import(fset, make(map[string]*types.Package), pkgpath, corruptdir, nil)
		if err == nil {
			t.Errorf("import corrupted %q succeeded", pkgpath)
		} else if msg := err.Error(); !strings.Contains(msg, "version skew") {
			t.Errorf("import %q error incorrect (%s)", pkgpath, msg)
		}
	}
}

func TestImportStdLib(t *testing.T) {
	if testing.Short() {

	podInformerSynced cache.InformerSynced
	kubeClient        clientset.Interface

	// This timestamp is to be used instead of LastProbeTime stored in Condition. We do this
	// to avoid the problem with time skew across the cluster.
	now func() metav1.Time

	enterPartialDisruptionFunc func(nodeNum int) float32
	enterFullDisruptionFunc    func(nodeNum int) float32

  //
  // More completion modes can be added in the future.
  // If the Job controller observes a mode that it doesn't recognize, which
  // is possible during upgrades due to version skew, the controller
  // skips updates for the Job.
  // +optional
  optional string completionMode = 9;

  // suspend specifies whether the Job controller should create Pods or not. If

		// See https://github.com/kubernetes/kubernetes/pull/38076 for more details
		if changedToReady && ds.Spec.MinReadySeconds > 0 {
			// Add a second to avoid milliseconds skew in AddAfter.
			// See https://github.com/kubernetes/kubernetes/issues/39785#issuecomment-279959133 for more info.
			dsc.enqueueDaemonSetAfter(ds, (time.Duration(ds.Spec.MinReadySeconds)*time.Second)+time.Second)
		}
		return

				results += "\t" + r.MemString()
			}
			fmt.Fprintln(b.w, results)
			// Unlike with tests, we ignore the -chatty flag and always print output for
			// benchmarks since the output generation time will skew the results.
			if len(b.output) > 0 {
				b.trimOutput()
				fmt.Fprintf(b.w, "%s--- BENCH: %s\n%s", b.chatty.prefix(), benchName, b.output)
			}
			if p := runtime.GOMAXPROCS(-1); p != procs {

    public Container(T data) {}
  }

  public <T extends Container<String>> void testConstructor_parameterTypes()
      throws NoSuchMethodException {
    @SuppressWarnings("rawtypes") // Reflection API skew
    Constructor<Container> constructor = Container.class.getConstructor(Object.class);
    Invokable<T, ?> invokable = new TypeToken<T>(getClass()) {}.constructor(constructor);