if visibility.Instance(e) == visibility.Private {
				// substitute this with the current namespace so that we
				// can check for duplicates like ., namespace
				key = namespace
			}
			if exportToSet.Contains(key) {
				if key != e {
					errs = appendErrors(errs, fmt.Errorf("duplicate entries in exportTo: . and current namespace %s", namespace))
				} else {

		Resolution: model.ClientSideLB,
		Attributes: model.ServiceAttributes{
			Namespace: TestServiceNamespace,
		},
	}
	http2Service := &model.Service{
		Hostname:   host.Name("foo.default.svc.cluster.local"),
		Ports:      http2ServicePort,
		Resolution: model.ClientSideLB,
		Attributes: model.ServiceAttributes{
			Namespace: TestServiceNamespace,
		},
	}

	cases := []struct {

	kl.removeOrphanedPodStatuses(allPods, mirrorPods)

	// Remove orphaned pod user namespace allocations (if any).
	klog.V(3).InfoS("Clean up orphaned pod user namespace allocations")
	if err = kl.usernsManager.CleanupOrphanedPodUsernsAllocations(allPods, runningRuntimePods); err != nil {
		klog.ErrorS(err, "Failed cleaning up orphaned pod user namespaces allocations")
	}

}

func podWithUIDNameNs(uid types.UID, name, namespace string) *v1.Pod {
	return &v1.Pod{
		ObjectMeta: metav1.ObjectMeta{
			UID:         uid,
			Name:        name,
			Namespace:   namespace,
			Annotations: map[string]string{},
		},
	}
}

func podWithUIDNameNsSpec(uid types.UID, name, namespace string, spec v1.PodSpec) *v1.Pod {
	pod := podWithUIDNameNs(uid, name, namespace)

// newPodStats returns a pod stat where each container is using the specified working set
// each pod must have a Name, UID, Namespace
func newPodStats(pod *v1.Pod, podWorkingSetBytes uint64) statsapi.PodStats {
	return statsapi.PodStats{
		PodRef: statsapi.PodReference{
			Name:      pod.Name,
			Namespace: pod.Namespace,
			UID:       string(pod.UID),
		},
		Memory: &statsapi.MemoryStats{
			WorkingSetBytes: &podWorkingSetBytes,

			expected: []metav1.TableRow{{Cells: []interface{}{"namespace1", "FooStatus", "0s"}}},
		},
		// Basic namespace without status or age.
		{
			namespace: api.Namespace{
				ObjectMeta: metav1.ObjectMeta{
					Name: "namespace2",
				},
			},
			// Columns: Name, Status, Age
			expected: []metav1.TableRow{{Cells: []interface{}{"namespace2", "", "<unknown>"}}},
		},
	}

	for i, test := range tests {

func (in *Namespace) DeepCopyInto(out *Namespace) {
	*out = *in
	out.TypeMeta = in.TypeMeta
	in.ObjectMeta.DeepCopyInto(&out.ObjectMeta)
	in.Spec.DeepCopyInto(&out.Spec)
	in.Status.DeepCopyInto(&out.Status)
	return
}

// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new Namespace.
func (in *Namespace) DeepCopy() *Namespace {
	if in == nil {

func (in *Namespace) DeepCopyInto(out *Namespace) {
	*out = *in
	out.TypeMeta = in.TypeMeta
	in.ObjectMeta.DeepCopyInto(&out.ObjectMeta)
	in.Spec.DeepCopyInto(&out.Spec)
	in.Status.DeepCopyInto(&out.Status)
	return
}

// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new Namespace.
func (in *Namespace) DeepCopy() *Namespace {
	if in == nil {

	}
	paramName := "<unset>"
	if pr := obj.Spec.ParamRef; pr != nil {
		if len(pr.Name) > 0 {
			if pr.Namespace != "" {
				paramName = pr.Namespace + "/" + pr.Name
			} else {
				// Can't tell from here if param is cluster-scoped, so all
				// params without names get * namespace
				paramName = "*/" + pr.Name
			}
		} else if pr.Selector != nil {
			paramName = pr.Selector.String()
		}

using ::int64_t;
using mlir::func::FuncOp;
using tensorflow::shape_inference::DimensionHandle;
using tensorflow::shape_inference::InferenceContext;
using tensorflow::shape_inference::ShapeHandle;

namespace mlir {
namespace TF {
namespace {

// Compute a refined type between two types `lhs` and `rhs`, the result type
// is always more refined (i.e. has more static information) than `lhs`