config.StaticPodURLHeader[k] = []string{"<masked>"}
			}
			// log the kubelet's config for inspection
			klog.V(5).InfoS("KubeletConfiguration", "configuration", klog.Format(config))

			// set up signal context for kubelet shutdown
			ctx := genericapiserver.SetupSignalContext()

			utilfeature.DefaultMutableFeatureGate.AddMetrics()
			// run the kubelet

// It may return both valid metricDesiredReplicas and an error,
// when some metrics still work and HPA should perform scaling based on them.
// If HPA cannot do anything due to error, it returns -1 in metricDesiredReplicas as a failure signal.
func (a *HorizontalController) computeReplicasForMetrics(ctx context.Context, hpa *autoscalingv2.HorizontalPodAutoscaler, scale *autoscalingv1.Scale,

	assistBytesPerWork := gcController.assistBytesPerWork.Load()
	gp.gcAssistBytes += 1 + int64(assistBytesPerWork*float64(workDone))

	// If this is the last worker and we ran out of work,
	// signal a completion point.
	incnwait := atomic.Xadd(&work.nwait, +1)
	if incnwait > work.nproc {
		println("runtime: work.nwait=", incnwait,
			"work.nproc=", work.nproc)
		throw("work.nwait > work.nproc")
	}

				done := make(chan error)
				go func() {
					done <- cmd.Wait()
				}()
				select {
				case err = <-done:
					// ok
				case <-tick.C:
					cmd.Process.Signal(os.Interrupt)
					time.Sleep(1 * time.Second)
					cmd.Process.Kill()
					<-done
					err = errTimeout
				}
				tick.Stop()
			}
		} else {
			err = cmd.Run()
		}

writer: A handle to a summary writer.
step: The step to write the summary for.
tag: Scalar. Used to build the `tag` attribute of the summary values.
tensor: 2-D of shape `[batch_size, frames]`.
sample_rate: The sample rate of the signal in hertz.
max_outputs: Max number of batch elements to generate audio for.
  }];

  let arguments = (ins
    Arg<TF_ResourceTensor, "", [TF_SummaryWrite]>:$writer,
    TF_Int64Tensor:$step,

			t.Errorf("Client.Write failed: %s", err)
			return
		}

		for i := 1; i <= test.numRenegotiations; i++ {
			// The initial handshake will generate a
			// handshakeComplete signal which needs to be quashed.
			if i == 1 && write {
				<-stdout.handshakeComplete
			}

			// OpenSSL will try to interleave application data and
			// a renegotiation if we send both concurrently.

				}
				if st.pendingCount > 0 {
					res["repl-pending-"+tgt] = fmt.Sprintf("%d versions, %d bytes", st.pendingCount, st.pendingSize)
				}
			}
		}
		if objDeleted {
			// we return errIgnoreFileContrib to signal this function's
			// callers to skip this object's contribution towards
			// usage.
			return sizeSummary{}, errIgnoreFileContrib
		}
		return sizeS, nil
	}, scanMode, weSleep)
	if err != nil {

	r0, _, _ := CallLeFuncWithErr(GetZosLibVec() + SYS_GETUID<<4)
	uid = int(r0)
	return
}

// THIS FILE IS GENERATED BY THE COMMAND AT THE TOP; DO NOT EDIT

func Kill(pid int, sig Signal) (err error) {
	r0, e2, e1 := CallLeFuncWithErr(GetZosLibVec()+SYS_KILL<<4, uintptr(pid), uintptr(sig))
	if int64(r0) == -1 {
		err = errnoErr2(e1, e2)
	}
	return
}

			// then the job is complete.
			complete = jobCtx.succeeded > 0 && active == 0
		} else {
			// Job specifies a number of completions.  This type of job signals
			// success by having that number of successes.  Since we do not
			// start more pods than there are remaining completions, there should
			// not be any remaining active pods once this count is reached.

	// return provisioner name here for metric reporting
	return provisionerName, nil
}

// rescheduleProvisioning signal back to the scheduler to retry dynamic provisioning
// by removing the AnnSelectedNode annotation
func (ctrl *PersistentVolumeController) rescheduleProvisioning(ctx context.Context, claim *v1.PersistentVolumeClaim) {