// Create the container
        animals = objectFactory.polymorphicDomainObjectContainer(Animal)
    }

    // Add a dog to the container
    void addDog(String name, String breed) {
        animals.create(Dog, name: name, breed: breed)
    }
}

			pc.addPod(pod, ip, key)
		} else {
			return nil
		}
	case model.EventUpdate:
		if !shouldPodBeInEndpoints(pod) || !IsPodReady(pod) {
			// delete only if this pod was in the cache
			if !pc.deleteIP(ip, key) {
				return nil
			}
			ev = model.EventDelete
		} else if shouldPodBeInEndpoints(pod) && IsPodReady(pod) {
			pc.addPod(pod, ip, key)
		} else {
			return nil

	syncer := newTestManager(&fake.Clientset{})
	pod := getTestPod()
	pod.UID = "first"
	syncer.podManager.(mutablePodManager).AddPod(pod)
	differentPod := getTestPod()
	differentPod.UID = "second"
	syncer.podManager.(mutablePodManager).AddPod(differentPod)
	syncer.kubeClient = fake.NewSimpleClientset(pod)
	syncer.SetPodStatus(differentPod, getRandomPodStatus())

  auto add_op =
      rewriter.create<stablehlo::AddOp>(erf_op.getLoc(), erf_op, one_cst);
  auto lhs_mul_op = rewriter.create<stablehlo::MulOp>(
      half_cst.getLoc(), new_func.getArguments()[0], half_cst);
  auto output_mul_op = rewriter.create<stablehlo::MulOp>(lhs_mul_op.getLoc(),
                                                         lhs_mul_op, add_op);

      return failure();
    }

    if (fuse_bias_constant) {
      Operation* add_op = FindUserOfType<stablehlo::AddOp>(op);
      if (add_op == nullptr) {
        LLVM_DEBUG(llvm::dbgs() << "Failed to find AddOp for bias fusion.\n");
        return failure();
      }
      Operation* bias_const_op = GetBiasConstOp(add_op);
      if (bias_const_op == nullptr) {

    block->addArguments({type, type}, SmallVector<Location, 2>(2, loc));
    auto add_op = builder.create<AddOp>(loc, block->getArgument(0),
                                        block->getArgument(1));
    builder.create<ReturnOp>(loc, add_op.getResult());
  }
};

class ConvertTensorScatterSubOp
    : public ConvertTensorScatterOp<ConvertTensorScatterSubOp,

		wantErr        bool
	}{
		{
			name:           "one coredns addon deployment",
			deploymentSize: 1,
			want:           2,
			wantErr:        false,
		},
		{
			name:           "no coredns addon deployment",
			deploymentSize: 0,
			want:           5,
			wantErr:        false,
		},
		{
			name:           "multiple coredns addon deployments",
			deploymentSize: 3,
			want:           5,

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tsl/platform/status_matchers.h"

namespace mlir::quant {
namespace {

using ::mlir::stablehlo::AddOp;
using ::mlir::stablehlo::ConstantOp;
using ::mlir::stablehlo::ConvolutionOp;
using ::mlir::stablehlo::DotGeneralOp;
using ::mlir::stablehlo::SubtractOp;
using ::testing::ElementsAreArray;
using ::testing::Eq;

		return
	}

	for i := 0; i < workers; i++ {
		go wait.UntilWithContext(ctx, ssc.worker, time.Second)
	}

	<-ctx.Done()
}

// addPod adds the statefulset for the pod to the sync queue
func (ssc *StatefulSetController) addPod(logger klog.Logger, obj interface{}) {
	pod := obj.(*v1.Pod)

	if pod.DeletionTimestamp != nil {

		),
	}

	logger := klog.FromContext(ctx)
	jobInformer.Informer().AddEventHandler(cache.ResourceEventHandlerFuncs{
		AddFunc: func(obj interface{}) {
			tc.addJob(logger, obj)
		},
		UpdateFunc: func(oldObj, newObj interface{}) {
			tc.updateJob(logger, oldObj, newObj)
		},
	})

	tc.jLister = jobInformer.Lister()
	tc.jListerSynced = jobInformer.Informer().HasSynced