}
  pass_options.enable_optimizer = options.enable_optimizer;
  // Use TFRT TPU OpKernel for training.
  pass_options.target_tpurt = false;
  pass_options.tpu_use_core_selector = options.tpu_use_core_selector;
  pass_options.tpu_use_bundled_transfer = options.tpu_use_bundled_transfer;
  pass_options.tpu_lower_to_fallback = options.tpu_lower_to_fallback;
  pass_options.tpu_fuse_ops = options.tpu_fuse_ops;

		InheritFlags: []string{
			options.CfgPath,
			options.IgnorePreflightErrors,
			options.TLSBootstrapToken,
			options.TokenStr,
			options.ControlPlane,
			options.APIServerAdvertiseAddress,
			options.APIServerBindPort,
			options.NodeCRISocket,
			options.NodeName,
			options.FileDiscovery,
			options.TokenDiscovery,
			options.TokenDiscoveryCAHash,
			options.TokenDiscoverySkipCAHash,

  XlaCompiler::Options options;
  if (platform_info.device_type() == DEVICE_TPU) {
    options = GenerateCompilerOptionsForTfrtTpu(*xla_device_compiler, *flr);
  } else {
    options.device_type = compilation_device_type;
    options.flib_def = flr->GetFunctionLibraryDefinition();
    options.graph_def_version = flr->graph_def_version();
    options.allow_cpu_custom_calls =

            options.getUseDefaultListeners(), options.getThreadPoolFactoryClass(),
            options.getIncludeGroups(), options.getExcludeGroups(), options.getListeners(),
            options.getConfigFailurePolicy(), options.getPreserveOrder(), options.getGroupByInstances(), dryRun.get()
        );
    }

    @Override

    protected Options options;

    @SuppressWarnings("checkstyle:linelength")
    public CLIManager() {
        options = new Options();
        options.addOption(Option.builder(Character.toString(HELP))
                .longOpt("help")
                .desc("Display help information")
                .build());
        options.addOption(Option.builder(Character.toString(ALTERNATE_POM_FILE))

namespace tensorflow {

xla::CompileOptions GetPjRtCompileOptions(
    const XlaCompiler::Options& options,
    const XlaCompiler::CompilationResult& result) {
  xla::CompileOptions pjrt_compile_options;
  pjrt_compile_options.argument_layouts = result.xla_input_shapes;
  pjrt_compile_options.executable_build_options =
      GetExecutableBuildOptions(options, result, /*default_device_ordinal=*/-1);

		configCluster := opts.ClusterID == cluster.ID

		options := opts
		options.ClusterID = cluster.ID
		if !configCluster {
			options.SyncTimeout = features.RemoteClusterTimeout
		}
		log.Infof("Initializing Kubernetes service registry %q", options.ClusterID)
		options.ConfigCluster = configCluster
		kubeRegistry := NewController(client, options)
		kubeController := &kubeController{

                @Input
                long goodTime

                @Nested Options options = new Options()

                @javax.inject.Inject
                org.gradle.api.internal.file.FileResolver fileResolver

                long badTime

                static class Options {
                    @Input String goodNested = "good nested"
                    String badNested

  virtual absl::StatusOr<std::string> BuildSerializedExecutable(
      const XlaCompiler::Options& options,
      const XlaCompiler::CompilationResult& result) = 0;

  // Loads `serialized_executable` into an `ExecutableType` using `ClientType`.
  virtual StatusOr<std::unique_ptr<ExecutableType>> LoadExecutable(
      const XlaCompiler::Options& options,
      const XlaCompiler::CompilationResult& result,

        final Options options = new Options();

        final CmdLineParser parser = new CmdLineParser(options);
        try {
            parser.parseArgument(args);
        } catch (final CmdLineException e) {
            System.err.println(e.getMessage());
            System.err.println("java " + Crawler.class.getCanonicalName() + " [options...] arguments...");