bb.putShort((short) 1); // version
            bb.putShort((short) 20); // size
            bb.putShort((short) 2); // serverType
            bb.putShort((short) 3); // rflags
            // v1 node string follows
            bb.put("\\server1\0".getBytes(StandardCharsets.UTF_16LE));

            // Position for second referral
            bb.position(28); // 8 header + 20 first referral

        runner = new OpenSearchRunner();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
        })
                .build(newConfigs().clusterName("AnalyzerNormalizerTest")
                        .numOfNode(1)
                        .pluginTypes("org.codelibs.opensearch.extension.ExtensionPlugin"));

            } else if (data instanceof CollectStepData stepData) {
                String msg = "dependency collection step for " + stepData.getContext();
                if (detailed) {
                    msg += ". Path to offending node from root:\n";
                    msg += stepData.getPath().stream()
                            .map(n -> " -> " + n.toString())
                            .collect(Collectors.joining("\n"));

abstract: TensorFlow is a machine learning 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...

        runner = new OpenSearchRunner();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
        })
                .build(newConfigs().clusterName("ArraySettingsTest")
                        .numOfNode(1)
                        .pluginTypes("org.codelibs.opensearch.extension.ExtensionPlugin"));

    long_wait_loop:
    if (remainingNanos >= SPIN_THRESHOLD_NANOS) {
      Waiter oldHead = waitersField;
      if (oldHead != Waiter.TOMBSTONE) {
        Waiter node = new Waiter();
        do {
          node.setNext(oldHead);
          if (casWaiters(oldHead, node)) {
            while (true) {
              OverflowAvoidingLockSupport.parkNanos(this, remainingNanos);

        runner = new OpenSearchRunner();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
        })
                .build(newConfigs().clusterName("ArraySettingsTest")
                        .numOfNode(1)
                        .pluginTypes("org.codelibs.opensearch.extension.ExtensionPlugin"));

        runner = new OpenSearchRunner();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
        })
                .build(newConfigs().clusterName("ArraySettingsTest")
                        .numOfNode(1)
                        .pluginTypes("org.codelibs.opensearch.extension.ExtensionPlugin"));

    TF_OutputList* add_outputs = TF_NewOutputList();
    TF_OutputListSetNumOutputs(add_outputs, 1, status.get());
    ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
    // Trace the operation now (create a node in the graph).
    TF_ExecuteOperation(add_op, 2, inputs, add_outputs, s);
    ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
    TF_DeleteAbstractOp(add_op);
    // Extract the resulting tensor.

        runner = new OpenSearchRunner();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
        })
                .build(newConfigs().clusterName("ArraySettingsTest")
                        .numOfNode(1)
                        .pluginTypes("org.codelibs.opensearch.extension.ExtensionPlugin"));