--project "${PROJECT}" \
    --region "${REGION}" \
    --protocol tcp \
    --region "${REGION}" \
    --load-balancing-scheme internal \
    --health-checks "${MASTER_NAME}-hc"

  gcloud compute forwarding-rules create "${MASTER_NAME}-internal" \
    --project "${PROJECT}" \
    --region "${REGION}" \
    --load-balancing-scheme internal \
    --network "${NETWORK}" \

		locality := localityLbEndpoint.Locality
		if locality.Region == "region1" && locality.Zone == "zone1" && locality.SubZone == "subzone1" {
			g.Expect(localityLbEndpoint.Priority).To(Equal(uint32(0)))
		} else if locality.Region == "region1" && locality.Zone == "zone1" && locality.SubZone == "subzone2" {
			g.Expect(localityLbEndpoint.Priority).To(Equal(uint32(1)))
		} else if locality.Region == "region2" {

  // Build a subgraph with a given name out of the region either corresponding
  // to a function's body or while op. Modifies *region by calling
  // ExtractControlEdges.
  std::optional<BufferOffset<tflite::SubGraph>> BuildSubGraph(
      const std::string& name, Region* region, int index);

  // Modifies *block by unwrapping all ControlNodeOps. The DAG of the control

    TypeRange input_types, ArrayRef<Region*> regions, int64_t max_iterations) {
  DCOMMENT("\tPropagating shapes to regions");
  bool any_failure = false;
  bool any_nonconvergence = false;
  // If shape propagation fails for one region, return failure, but do not
  // early exit and attempt to propagate shapes for all provided regions to
  // have a best-effort propagation.
  for (auto region : regions) {

						Locality: model.Locality{
							ClusterID: "cluster-1",
							Label:     "region1/zone1/subzone1",
						},
						LbWeight: 30,
						Network:  "filtered-out",
					},
				},
			},
			expected: []*endpoint.LocalityLbEndpoints{
				{
					Locality: &core.Locality{
						Region:  "region1",
						Zone:    "zone1",
						SubZone: "subzone1",
					},

  ];
}

def RegionControlFlowToFunctionalPass : Pass<"tf-region-control-flow-to-functional", "ModuleOp"> {
  let summary = "Transforms region-based control flow operations to their functional counterparts";

  let description = [{
    This pass transforms region-based control flow operations in the TensorFlow

// Applicable only in a federated deployment
var getRemoteInstanceClient = func(r *http.Request, host string) (*miniogo.Core, error) {
	cred := getReqAccessCred(r, globalSite.Region())
	// In a federated deployment, all the instances share config files
	// and hence expected to have same credentials.
	core, err := miniogo.NewCore(host, &miniogo.Options{

		ldr.SetSymSect(ldr.Lookup("_end", 0), ldr.SymSect(end))
	}

	if ctxt.IsPPC64() && ctxt.IsElf() {
		// Resolve .TOC. symbols for all objects. Only one TOC region is supported. If a
		// GOT section is present, compute it as suggested by the ELFv2 ABI. Otherwise,
		// choose a similar offset from the start of the data segment.
		tocAddr := int64(Segdata.Vaddr) + 0x8000

	defer cancel()

	affinityPod := st.MakePod().Name("afp").Namespace("ns1").UID("afp").Annotation("annot2", "val2").Priority(mediumPriority).NominatedNodeName("node1").PodAffinityExists("service", "region", st.PodAffinityWithRequiredReq).Obj()
	labelPod := st.MakePod().Name("lbp").Namespace(affinityPod.Namespace).Label("service", "securityscan").Node("node1").Obj()

	c := testingclock.NewFakeClock(time.Now())

			mile("BeginCreate")
			return func(_ context.Context, success bool) {
				mile(fmt.Sprintf("FinishCreate(%v)", success))
			}, fmt.Errorf("begin")
		},
		expectMilestones: []string{"BeginCreate"},
	}}

	for _, tc := range testCases {
		t.Run(tc.name, func(t *testing.T) {
			pod := &example.Pod{