}

// CHECK: func private @[[CLUSTER]]
// CHECK-SAME: () -> tensor<?xi32>
// CHECK: %[[A_OUTPUT:[0-9]*]] = "tf.A"()
// CHECK: return %[[A_OUTPUT]]

// -----

// Tests cluster attributes are copied over to cluster_func.

// CHECK-LABEL: func @cluster_attrs
func.func @cluster_attrs() -> tensor<?xi32> {
  %0 = "tf_device.cluster"() ({
    %1 = "tf.A"() : () -> tensor<?xi32>

	}

	if i.cfg.DeployIstio {
		errG := multierror.Group{}
		// Make sure to clean up primary clusters before remotes, or istiod will recreate some of the CMs that we delete
		// in the remote clusters before it's deleted.
		for _, c := range i.ctx.AllClusters().Primaries() {
			i.cleanupCluster(c, &errG)
		}
		for _, c := range i.ctx.Clusters().Remotes() {
			i.cleanupCluster(c, &errG)
		}
		return errG.Wait().ErrorOrNil()
	}

    }
    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");
  for (const auto& pair : clusters) {
    if (pair.first == kNoCluster) {
      absl::StrAppend(&result, "unclustered");

		"Reduced redundancy storage class parity")
	configStandardParityMD = NewGaugeMD(configStandardParity,
		"Standard storage class parity")
)

// loadClusterConfigMetrics - `MetricsLoaderFn` for cluster config
// such as standard and RRS parity.
func loadClusterConfigMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {
	clusterDriveMetrics, err := c.clusterDriveMetrics.Get()
	if err != nil {

	PrimaryName() string

	// Config returns the config cluster for this cluster. Will return itself if
	// IsConfig.
	Config() Cluster

	// ConfigName returns the name of the config cluster for this cluster.
	ConfigName() string

	// HTTPProxy returns the HTTP proxy config to connect to the cluster
	HTTPProxy() string

	// Metadata returns the value for a given metadata key for the cluster.

)

// loadClusterNotificationMetrics - `MetricsLoaderFn` for cluster notification metrics.
func loadClusterNotificationMetrics(_ context.Context, m MetricValues, _ *metricsCache) error {
	if globalEventNotifier == nil {
		return nil
	}

	nstats := globalEventNotifier.targetList.Stats()

	comp := m.constructor(cluster)
	m.mu.Lock()
	defer m.mu.Unlock()
	m.clusters[cluster.ID] = comp
	return comp
}

func (m *Component[T]) clusterUpdated(cluster *Cluster) ComponentConstraint {
	// Build outside of the lock, in case its slow
	comp := m.constructor(cluster)
	old, f := m.clusters[cluster.ID]
	m.mu.Lock()
	m.clusters[cluster.ID] = comp
	m.mu.Unlock()

	clusters = append(clusters, MainInternalCluster, EncapCluster)
	// Creates per-VIP load balancing upstreams.
	clusters = append(clusters, cb.buildWaypointInboundVIP(proxy, svcs)...)
	// Upstream of the "encap" listener.
	clusters = append(clusters, cb.buildWaypointConnectOriginate(proxy, push))

	for _, c := range clusters {
		if c.TransportSocket != nil && c.TransportSocketMatches != nil {

	}
	return f.Name
}

func (f FakeEnvironment) AllClusters() cluster.Clusters {
	res := cluster.Clusters{}
	allClusters := make(cluster.Map)

	for i := 0; i < f.NumClusters; i++ {
		topo := cluster.NewTopology(cluster.Config{
			Name:               fmt.Sprintf("cluster-%d", i),
			PrimaryClusterName: fmt.Sprintf("cluster-%d", i),
			ConfigClusterName:  fmt.Sprintf("cluster-%d", i),
		}, allClusters)
		c := &kube.Cluster{Topology: topo}

	// controlPlaneTopology maps each cluster to the cluster that runs its control plane. For replicated control
	// plane cases (where each cluster has its own control plane), the cluster will map to itself (e.g. 0->0).
	controlPlaneTopology clusterTopology

	// networkTopology is used for the initial assignment of networks to each cluster.
	// The source of truth clusters' networks is the Cluster instances themselves, rather than this field.