for i := range dac {
		dac[i].Cluster.TypeUrl = v3.ClusterType
	}
	sort.Slice(dac, func(i, j int) bool {
		cluster := &cluster.Cluster{}
		err = dac[i].Cluster.UnmarshalTo(cluster)
		if err != nil {
			return false
		}
		name := cluster.Name
		err = dac[j].Cluster.UnmarshalTo(cluster)
		if err != nil {
			return false
		}
		return name < cluster.Name
	})
	if stripVersions {
		for i := range dac {

  }

  cluster_op.erase();
}

void XlaInlineDeviceOpsPass::runOnOperation() {
  ModuleOp module = getOperation();

  llvm::SmallVector<tf_device::ClusterOp, 4> ops;
  module.walk(
      [&](tf_device::ClusterOp cluster_op) { ops.push_back(cluster_op); });

  for (auto cluster_op : ops) {
    InlineDeviceOp(cluster_op);
  }
}

}  // namespace

namespace TFDevice {

	if c.clusters == nil {
		return fmt.Errorf("config writer has not been primed")
	}

	w := new(tabwriter.Writer).Init(c.Stdout, 0, 8, 5, ' ', 0)

	clusterEndpoint := make([]EndpointCluster, 0)
	for _, cluster := range c.clusters.ClusterStatuses {
		for _, host := range cluster.HostStatuses {
			if filter.Verify(host, cluster.Name) {
				addr := retrieveEndpointAddress(host)

		{Name: "inbound|7443||", DnsLookupFamily: cluster.Cluster_V4_ONLY, LbPolicy: cluster.Cluster_ROUND_ROBIN},
	}
	sidecarInboundServiceOut := []*cluster.Cluster{
		{
			Name: "inbound|7443||", ClusterDiscoveryType: &cluster.Cluster_Type{Type: cluster.Cluster_EDS},
			DnsLookupFamily: cluster.Cluster_V6_ONLY, LbPolicy: cluster.Cluster_RING_HASH,
		},
	}

	gatewayInput := []*cluster.Cluster{

	"istio.io/istio/pkg/test/framework/components/cluster"
	"istio.io/istio/pkg/test/framework/components/echo"
)

var _ echo.Cluster = &Cluster{}

// Cluster for a Kubernetes cluster. Provides access via a kube.Client.
type Cluster struct {
	// filename is the path to the kubeconfig file for this cluster.
	filename string

	// vmSupport indicates the cluster is being used for fake VMs
	vmSupport bool

		out.Pod[PodKey(p.Namespace, p.Name)] = &pods.Items[i]
	}

	return out, nil
}

// Resources defines a tree of cluster resource names.
type Resources struct {
	// Root is the first level in the cluster resource hierarchy.
	// Each level in the hierarchy is a map[string]interface{} to the next level.
	// The levels are: namespaces/deployments/pods/containers.
	Root map[string]any

import (
	"context"

	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
	"k8s.io/apimachinery/pkg/types"
	"k8s.io/client-go/kubernetes"
)

// Use UUID of kube-system Namespace as unique identifier for cluster.
// (see https://docs.google.com/document/d/1F__vEKeI41P7PPUCMM9PVPYY34pyrvQI5rbTJVnS5c4)
func clusterUID(client kubernetes.Interface) (types.UID, error) {

      TF_RET_CHECK(absl::SimpleAtoi(*maybe_cluster, &cluster));
      clustered_nodes++;
    }
    clusters[cluster][n->type_string()]++;
    cluster_size[cluster]++;
  }

  string result =
      absl::StrCat("Clustered nodes: ", clustered_nodes,
                   "\nUnclustered nodes: ", cluster_size[kNoCluster],
                   "\nNumber of clusters: ", clusters.size() - 1, "\n\n");

// that it is suitable for targeting devices when called via the TF1 Session
// API.
// These transformations take as input a Tensorflow Graph as an MLIR Module
// and transforms the module in place to cluster the given ops for compilation
// that is compatible with the given device_type. The MLIR should be in the TF
// Executor Dialect for graph nodes and edges or TF Functional. It will convert

// CHECK-NEXT: = "tf.Const"{{.*}}"cluster1"
// CHECK-NEXT: = "tf.Const"{{.*}}"cluster1"
// CHECK-NEXT: = "tf.AddV2"{{.*}}"cluster1"
// CHECK-NEXT: = "tf.AddV2"{{.*}}"cluster1"
// CHECK: %[[ISLAND2:.*]], {{.*}} = tf_executor.island
// CHECK-NEXT: = "tf.Const"{{.*}}"cluster2"
// CHECK-NEXT: = "tf.Const"{{.*}}"cluster2"
// CHECK-NEXT: = "tf.AddV2"{{.*}}"cluster2"
// CHECK-NEXT: = "tf.AddV2"{{.*}}"cluster2"