ObjectMeta: metav1.ObjectMeta{Name: "foo", Namespace: "test"},
		Spec:       example.PodSpec{NodeName: "machine"},
	}
	podB := &example.Pod{
		ObjectMeta: metav1.ObjectMeta{Name: "foo", Namespace: "test"},
		Spec:       example.PodSpec{NodeName: "machine2"},
	}
	podAWithResourceVersion := &example.Pod{
		ObjectMeta: metav1.ObjectMeta{Name: "foo", Namespace: "test", ResourceVersion: "7"},

	i := len(dAtA)
	_ = i
	var l int
	_ = l
	if len(m.Namespaces) > 0 {
		for iNdEx := len(m.Namespaces) - 1; iNdEx >= 0; iNdEx-- {
			i -= len(m.Namespaces[iNdEx])
			copy(dAtA[i:], m.Namespaces[iNdEx])
			i = encodeVarintGenerated(dAtA, i, uint64(len(m.Namespaces[iNdEx])))
			i--
			dAtA[i] = 0x2a
		}
	}
	i--
	if m.ClusterScope {
		dAtA[i] = 1

	}
	p.setInitialized(true)
	p.syncRunner = async.NewBoundedFrequencyRunner("test-sync-runner", p.syncProxyRules, 0, time.Minute, 1)
	return p
}

func makeNSN(namespace, name string) types.NamespacedName {
	return types.NamespacedName{Namespace: namespace, Name: name}
}

func makeServiceMap(proxier *Proxier, allServices ...*v1.Service) {
	for i := range allServices {
		proxier.OnServiceAdd(allServices[i])
	}

	i := len(dAtA)
	_ = i
	var l int
	_ = l
	if len(m.Namespaces) > 0 {
		for iNdEx := len(m.Namespaces) - 1; iNdEx >= 0; iNdEx-- {
			i -= len(m.Namespaces[iNdEx])
			copy(dAtA[i:], m.Namespaces[iNdEx])
			i = encodeVarintGenerated(dAtA, i, uint64(len(m.Namespaces[iNdEx])))
			i--
			dAtA[i] = 0x2a
		}
	}
	i--
	if m.ClusterScope {
		dAtA[i] = 1

			fmt.Sprintf("%s:%d", cfg.ClusterLocalFQDN(), port),
			fmt.Sprintf("%s:12345", cfg.ClusterLocalFQDN()),
			fmt.Sprintf("%s.%s.svc", cfg.Service, cfg.Namespace.Name()),
			fmt.Sprintf("%s.%s.svc:%d", cfg.Service, cfg.Namespace.Name(), port),
			fmt.Sprintf("%s.%s.svc:12345", cfg.Service, cfg.Namespace.Name()),
			cfg.Service,
			fmt.Sprintf("%s:%d", cfg.Service, port),
			fmt.Sprintf("%s:12345", cfg.Service),

#include "tensorflow/compiler/mlir/tensorflow/utils/dynamic_shape_utils.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/side_effect_analysis_util.h"

namespace mlir {
namespace TF {

namespace {
// Returns the equivalent Value skipping through identity nodes.
Value LookThroughIdentity(Value result) {
  while (isa_and_nonnull<IdentityOp, IdentityNOp>(result.getDefiningOp())) {

			tc.Lock()
			defer tc.Unlock()

			obj := action.(core.UpdateAction).GetObject().(*autoscalingv2.HorizontalPodAutoscaler)
			assert.Equal(t, namespace, obj.Namespace, "the HPA namespace should be as expected")
			assert.Equal(t, hpaName, obj.Name, "the HPA name should be as expected")

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_types.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/dynamic_shape_utils.h"
#include "tensorflow/core/framework/kernel_shape_util.h"

namespace mlir {
namespace TFL {

INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(CeilOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(CosOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(LocalResponseNormalizationOp);

            "type": "string"
          },
          "namespace": {

			Name: "webhook.k8s.io",
			ClientConfig: admissionregistration.WebhookClientConfig{
				Service: &admissionregistration.ServiceReference{
					Namespace: "ns",
					Name:      "n",
					Port:      443,
				},
				URL: strPtr("example.com/k8s/webhook"),
			},
		},
		}, true),