}
	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),

:2,"min_t":1228948796,"max_t":1236205616,"mean_t":1232577206},{"name":"empty-clip-path-expected.checksum","kids":[],"cl_weight":0.0011368143551917333,"touches":2,"min_t":1228948796,"max_t":1236205616,"mean_t":1232577206},{"name":"use-on-non-svg-namespaced-element-expected.checksum","kids":[],"cl_weight":0.0005553709994722575,"touches":2,"min_t":1229478785,"max_t":1236205616,"mean_t":1232842200},{"name":"empty-clip-path-expected.png","kids":[],"cl_weight":0.0011368143551917333,"touches":2,"min_t"...

#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);

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

              {
               "tag": "istio.mesh_id",
               "literal": {
                "value": "cluster.local"
               }
              },
              {
               "tag": "istio.namespace",
               "literal": {
                "value": "default"
               }
              }
             ]
            },
            "use_remote_address": false,
            "upgrade_configs": [

#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/util/padding.h"
#include "tensorflow/core/util/tensor_format.h"

namespace mlir {
namespace TF {

namespace {
#include "tensorflow/compiler/mlir/tensorflow/transforms/generated_canonicalize.inc"
}  // namespace

INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AbsOp);
INFER_RETURN_TYPE_COMPONENTS_FROM_OPERANDS(AcosOp);