// and there are no more workers (note that, since this is
	// concurrent, this may be a transient state, but mark
	// termination will clean it up). Between background workers
	// and assists, we don't really know how many workers there
	// will be, so we pretend to have an arbitrarily large number
	// of workers, almost all of which are "waiting". While a
	// worker is working it decrements nwait. If nproc == nwait,

		}
		stillWorking := false

		// ignore held workers
		w.lock.Lock()
		for uid := range w.holds {
			pausedWorkers[uid] = struct{}{}
		}
		w.lock.Unlock()

		// check for at least one still working non-paused worker
		w.w.podLock.Lock()
		for uid, worker := range w.w.podSyncStatuses {
			if _, ok := pausedWorkers[uid]; ok {
				continue
			}
			if worker.working {
				stillWorking = true
				break

					"ivy",
					"testing-native",
					"maven",
					"integ-test"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"workers",
					"model-core",
					"language-groovy",
					"build-init",
					"logging",
					"plugins-groovy",
					"kotlin-dsl",
					"plugins-java",
					"samples",
					"plugin-development",

// newBatchJobPool creates a pool of job manifest workers of specified size
func newBatchJobPool(ctx context.Context, o ObjectLayer, workers int) *BatchJobPool {
	jpool := &BatchJobPool{
		ctx:          ctx,
		objLayer:     o,
		jobCh:        make(chan *BatchJobRequest, 10000),
		workerKillCh: make(chan struct{}, workers),
		jobCancelers: make(map[string]context.CancelFunc),
	}

	nodeNameKeyIndex = "spec.nodeName"
	// podUpdateWorkerSizes assumes that in most cases pod will be handled by monitorNodeHealth pass.
	// Pod update workers will only handle lagging cache pods. 4 workers should be enough.
	podUpdateWorkerSize = 4
	// nodeUpdateWorkerSize defines the size of workers for node update or/and pod update.
	nodeUpdateWorkerSize = 8

	// taintEvictionController is defined here in order to prevent imports of

	// mark workers in retake. That might be simpler than trying to
	// enumerate all the reasons why we might want to preempt, even
	// if we're supposed to be mostly non-preemptible.
	for !(gp.preempt && (preemptible || sched.gcwaiting.Load() || pp.runSafePointFn != 0)) {
		// Try to keep work available on the global queue. We used to
		// check if there were waiting workers, but it's better to

				PodResourceClaims(v1.PodResourceClaim{Name: resourceName2, Source: v1.ClaimSource{ResourceClaimName: &claimName2}}).
				Obj()

	workerNode      = &st.MakeNode().Name("worker").Label("kubernetes.io/hostname", "worker").Node
	workerNodeSlice = st.MakeResourceSlice("worker", "some-driver").NamedResourcesInstances("instance-1").Obj()

	claimParameters = st.MakeClaimParameters().Name(claimName).Namespace(namespace).

func (a *HorizontalController) Run(ctx context.Context, workers int) {
	defer utilruntime.HandleCrash()
	defer a.queue.ShutDown()

	logger := klog.FromContext(ctx)
	logger.Info("Starting HPA controller")
	defer logger.Info("Shutting down HPA controller")

	if !cache.WaitForNamedCacheSync("HPA", ctx.Done(), a.hpaListerSynced, a.podListerSynced) {
		return
	}

	for i := 0; i < workers; i++ {

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Active Workers",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

		return
	}
	jm.orphanQueue.Add(key)
}

// worker runs a worker thread that just dequeues items, processes them, and marks them done.
// It enforces that the syncHandler is never invoked concurrently with the same key.
func (jm *Controller) worker(ctx context.Context) {
	for jm.processNextWorkItem(ctx) {
	}
}