func (jm *ControllerV2) Run(ctx context.Context, workers int) {
	defer utilruntime.HandleCrash()

	// Start event processing pipeline.
	jm.broadcaster.StartStructuredLogging(3)
	jm.broadcaster.StartRecordingToSink(&corev1client.EventSinkImpl{Interface: jm.kubeClient.CoreV1().Events("")})
	defer jm.broadcaster.Shutdown()

	defer jm.queue.ShutDown()

	logger := klog.FromContext(ctx)
	logger.Info("Starting cronjob controller v2")

    ],
    data = [
        "//tensorflow/lite/tools/optimize:testdata/add_with_const_input.bin",
        "//tensorflow/lite/tools/optimize:testdata/argmax.bin",
        "//tensorflow/lite/tools/optimize:testdata/broadcast_to.bin",
        "//tensorflow/lite/tools/optimize:testdata/concat.bin",
        "//tensorflow/lite/tools/optimize:testdata/fc.bin",
        "//tensorflow/lite/tools/optimize:testdata/fc_qat.bin",

      readonly_model_->subgraphs()->Get(subgraph_idx);

  // There should be a single broadcast_to op.
  EXPECT_THAT(*readonly_subgraph->operators(), SizeIs(1));
  EXPECT_THAT(subgraph->operators, SizeIs(1));
  const auto& broadcast_to = subgraph->operators[0];
  EXPECT_THAT(model_.operator_codes[broadcast_to->opcode_index]->builtin_code,
              Eq(BuiltinOperator_BROADCAST_TO));

func (r *RepairIPAddress) RunUntil(onFirstSuccess func(), stopCh chan struct{}) {
	defer r.cidrQueue.ShutDown()
	defer r.ipQueue.ShutDown()
	defer r.svcQueue.ShutDown()
	r.broadcaster.StartRecordingToSink(stopCh)
	defer r.broadcaster.Shutdown()

	klog.Info("Starting ipallocator-repair-controller")
	defer klog.Info("Shutting down ipallocator-repair-controller")

  if main_bp:
    print "Created breakpoint"
  process = target.LaunchSimple(None, None, os.getcwd())
  if process:
    print "Process launched"
    listener = debugger.GetListener()
    process.broadcaster.AddListener(listener, lldb.SBProcess.eBroadcastBitStateChanged)
    while True:
      event = lldb.SBEvent()
      if listener.WaitForEvent(TIMEOUT_SECS, event):
        if lldb.SBProcess.GetRestartedFromEvent(event):

	maxEndpointsPerSubset int32,
	client clientset.Interface,
	endpointUpdatesBatchPeriod time.Duration,
) *Controller {
	logger := klog.FromContext(ctx)
	broadcaster := record.NewBroadcaster(record.WithContext(ctx))
	recorder := broadcaster.NewRecorder(scheme.Scheme, v1.EventSource{Component: "endpoint-slice-mirroring-controller"})

	metrics.RegisterMetrics()

	c := &Controller{
		client: client,

					Clock: clock,
					Name:  "stale_pod_disruption",
				}),
			},
		),
		broadcaster:               record.NewBroadcaster(record.WithContext(ctx)),
		stalePodDisruptionTimeout: stalePodDisruptionTimeout,
	}
	dc.recorder = dc.broadcaster.NewRecorder(scheme.Scheme, v1.EventSource{Component: "controllermanager"})

	dc.getUpdater = func() updater { return dc.writePdbStatus }

    auto output_type = mlir::cast<ShapedType>(op.getOutput().getType());

    if (!input_type.hasRank() || !output_type.hasRank()) return failure();

    // The pattern attempts to reduce the rank of the input to BroadcastTo.
    // Thus, we fail to match if the consuming reshape rank is larger.
    ArrayRef<int64_t> input_shape = input_type.getShape();
    if (reshape_shape.size() > input_shape.size()) return failure();

	endpointSliceInformer discoveryinformers.EndpointSliceInformer,
	maxEndpointsPerSlice int32,
	client clientset.Interface,
	endpointUpdatesBatchPeriod time.Duration,
) *Controller {
	broadcaster := record.NewBroadcaster(record.WithContext(ctx))
	recorder := broadcaster.NewRecorder(scheme.Scheme, v1.EventSource{Component: "endpoint-slice-controller"})

	endpointslicemetrics.RegisterMetrics()

	c := &Controller{
		client: client,

	broadcaster := events.NewBroadcaster(&events.EventSinkImpl{Interface: client.EventsV1()})
	ctx, cancel := context.WithCancel(context.Background())
	defer cancel()

	informerFactory := informers.NewSharedInformerFactory(client, 0)
	sched, err := New(
		ctx,
		client,
		informerFactory,
		nil,
		profile.NewRecorderFactory(broadcaster),
		WithProfiles(