}

// 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>

//   purposes and doesn't affect logic. module_name - What the input module name
//   is for debugging help.
//
// Output: Modifies the input module in place with clustered operations.
//   status - Whether the transformation to cluster the input MLIR module was
//   successful.
tensorflow::Status RunFunctionTf2xlaClusteringBridge(
    mlir::ModuleOp module, bool is_supported_by_replicated_brige,

	"istio.io/istio/pilot/pkg/features"
	"istio.io/istio/pkg/cluster"
	"istio.io/istio/pkg/config/mesh"
	"istio.io/istio/pkg/kube"
	"istio.io/istio/pkg/kube/kclient"
	filter "istio.io/istio/pkg/kube/namespace"
	"istio.io/istio/pkg/log"
)

// Cluster defines cluster struct
type Cluster struct {
	// ID of the cluster.
	ID cluster.ID
	// Client for accessing the cluster.
	Client kube.Client

	kubeConfigSha [sha256.Size]byte

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include "tensorflow/compiler/mlir/tf2xla/api/v2/cluster_tf.h"

#include <string>

#include "absl/log/log.h"
#include "absl/status/status.h"
#include "llvm/ADT/STLFunctionalExtras.h"
#include "llvm/ADT/StringRef.h"

					model.EndpointType: {
						NonceSent:     "nonce",
						ResourceNames: []string{"cluster2", "cluster1"},
					},
				},
			},
			request: &discovery.DiscoveryRequest{
				TypeUrl:       model.EndpointType,
				VersionInfo:   "v1",
				ResponseNonce: "nonce",
				ResourceNames: []string{"cluster1", "cluster2"},
			},
			response: false,
		},
		{
			name: "unsubscribe EDS",

func (c Clusters) Default() Cluster {
	return c[0]
}

// GetOrDefault returns the given cluster if non-nil. Otherwise returns the first
// Cluster in the list.
func (c Clusters) GetOrDefault(cluster Cluster) Cluster {
	if cluster != nil {
		return cluster
	}
	return c.Default()
}

// GetByName returns the Cluster with the given name or nil if it is not in the list.

    %1 = "tf.Shape"(%arg1) {_tpu_replicate = "cluster_Fn", _xla_outside_compilation = "0", device = ""} : (tensor<*x!tf_type.string>) -> tensor<*xi32>
    %2:3 = "tf.UnpackHyp"(%arg1) {_tpu_replicate = "cluster_Fn", _xla_outside_compilation = "0", device = "", max_seq_length = 16 : i64} : (tensor<*x!tf_type.string>) -> (tensor<*xi32>, tensor<*xi32>, tensor<*xf32>)

      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");

# This shows an example local config for ztunnel that adds a workload for localhost.
# This allows local testing by sending requests through the local ztunnel to other servers running on localhost.
workloads:
- uid: cluster1//v1/Pod/default/local
  name: local
  namespace: default
  serviceAccount: default
  workloadIps: ["127.0.0.1"]
  protocol: HBONE
  node: local
  network: ""
  services:
    "default/example.com":
      80: 8080

	}
	diff := difflib.UnifiedDiff{
		FromFile: "Istiod Clusters",
		A:        difflib.SplitLines(istiodBytes.String()),
		ToFile:   "Envoy Clusters",
		B:        difflib.SplitLines(envoyBytes.String()),
		Context:  c.context,
	}
	text, err := difflib.GetUnifiedDiffString(diff)
	if err != nil {
		return err
	}
	if text != "" {
		fmt.Fprintln(c.w, "Clusters Don't Match")
		fmt.Fprintln(c.w, text)
	} else {