Optional:    true,
			Type:        "path",
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         KafkaVersion,
			Description: "specify the version of the Kafka cluster",
			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         QueueSize,
			Description: "configure channel queue size for Kafka targets",
			Optional:    true,

system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas...

            settingsBuilder.put("discovery.type", "single-node");
            // settingsBuilder.putList("discovery.seed_hosts", "127.0.0.1:9301");
            // settingsBuilder.putList("cluster.initial_master_nodes", "127.0.0.1:9301");
        }).build(newConfigs().clusterName("ArraySettingsTest").numOfNode(1)
                .pluginTypes("org.codelibs.opensearch.extension.ExtensionPlugin"));
        runner.ensureYellow();

            settingsBuilder.put("discovery.type", "single-node");
            // settingsBuilder.putList("discovery.seed_hosts", "127.0.0.1:9301");
            // settingsBuilder.putList("cluster.initial_master_nodes", "127.0.0.1:9301");
        }).build(newConfigs().clusterName("ESSourceReaderTest").numOfNode(1)
                .pluginTypes("org.codelibs.opensearch.extension.ExtensionPlugin"));
        runner.ensureYellow();

		<property name="settings">
			{"http.cors.enabled":"true",
			 "http.cors.allow-origin":"*",
			 "discovery.type":"single-node",
			 "cluster.allocator.existing_shards_allocator.batch_enabled":"true",
			 <!--
			 "node.name":"search_engine",
			 "discovery.seed_hosts":"search_engine",
			 "cluster.initial_cluster_manager_nodes":"search_engine",
			 "node.roles":"cluster_manager,data,ingest,ml",
			 -->

  TFE_Context* ctx = TFE_NewContext(opts, status);
  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  server_def.set_task_index(0);
  auto cluster = server_def.mutable_cluster();
  auto client_job = cluster->add_job();
  client_job->set_name("localhost");
  int client_port = tensorflow::testing::PickUnusedPortOrDie();
  client_job->mutable_tasks()->insert(

	// Transport configured with proxy_url if set optionally.
	transport http.RoundTripper

	// The subnet base URL
	BaseURL string
}

var configLock sync.RWMutex

// Registered indicates if cluster is registered or not
func (c *Config) Registered() bool {
	configLock.RLock()
	defer configLock.RUnlock()

	return len(c.APIKey) > 0
}

            settingsBuilder.put("discovery.type", "single-node");
            // settingsBuilder.putList("discovery.seed_hosts", "127.0.0.1:9301");
            // settingsBuilder.putList("cluster.initial_master_nodes", "127.0.0.1:9301");
        }).build(newConfigs().clusterName("ArraySettingsTest").numOfNode(1)
                .pluginTypes("org.codelibs.opensearch.extension.ExtensionPlugin"));
        runner.ensureYellow();

		return
	}

	if globalSiteReplicationSys.isEnabled() && !v.Enabled() {
		writeErrorResponse(ctx, w, APIError{
			Code:           "InvalidBucketState",
			Description:    "Cluster replication is enabled on this site, versioning cannot be suspended on bucket.",
			HTTPStatusCode: http.StatusBadRequest,
		}, r.URL)
		return
	}

	// activity initiated from this cluster
	ReplicationStatus = "replication-status"
	// ReplicationTimestamp - the last time replication was initiated on this cluster for this object version
	ReplicationTimestamp = "replication-timestamp"
	// ReplicaStatus - this header is present if a replica was received by this cluster for this object version
	ReplicaStatus = "replica-status"