tensorflow::JobDef* job_def2 = cluster_def->add_job();
  job_def2->set_name("worker");

  // Copy over `host:port` at `task_index`
  for (auto task : cluster_server_def.cluster().job(0).tasks()) {
    if (task.first == task_index) {
      job_def2->mutable_tasks()->insert({task.first, task.second});
    }
  }

  return single_host_server_def;
}

        public BuildPlan calculateMojoExecutions(Map<MavenProject, List<MavenProject>> projects, List<Task> tasks) {
            BuildPlan buildPlan = new BuildPlan(projects);

            for (Task task : tasks) {
                BuildPlan step;

                if (task instanceof GoalTask) {
                    String pluginGoal = task.getValue();

                    String executionId = "default-cli";

   *
   * @throws RejectedExecutionException if the task cannot be scheduled for execution
   * @since 28.2
   */
  public static <O extends @Nullable Object> ListenableFuture<O> submit(
      Callable<O> callable, Executor executor) {
    TrustedListenableFutureTask<O> task = TrustedListenableFutureTask.create(callable);
    executor.execute(task);
    return task;
  }

  /**

        }
        TimeoutManager.getInstance().addTimeoutTarget(() -> {
            if (logger.isDebugEnabled()) {
                logger.debug("[scheduleParentGroupLookup] Async task started for user: {}", user.getName());
            }
            final long startTime = System.currentTimeMillis();
            try {
                final List<String> updatedGroups = new ArrayList<>(initialGroups);

 * entries may be counted in {@link Cache#size}, but will never be visible to read or write
 * operations.
 *
 * <p>Certain cache configurations will result in the accrual of periodic maintenance tasks which
 * will be performed during write operations, or during occasional read operations in the absence of
 * writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but

 * entries may be counted in {@link Cache#size}, but will never be visible to read or write
 * operations.
 *
 * <p>Certain cache configurations will result in the accrual of periodic maintenance tasks which
 * will be performed during write operations, or during occasional read operations in the absence of
 * writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but

// A Server instance encapsulates a set of devices and a Session target that
// can participate in distributed training. A server belongs to a cluster
// (specified by a ClusterSpec), and corresponds to a particular task in a
// named job. The server can communicate with any other server in the same
// cluster.

// In-process TensorFlow server.
typedef struct TF_Server TF_Server;

	bootstrapTrace("newSharedLock", func() {
		globalLeaderLock = newSharedLock(GlobalContext, z, "leader.lock")
	})

	// Start self healing after the object initialization
	// so various tasks will be useful
	bootstrapTrace("initAutoHeal", func() {
		initAutoHeal(GlobalContext, z)
	})

	// initialize the object layer.
	defer setObjectLayer(z)

	r := rand.New(rand.NewSource(time.Now().UnixNano()))

## Changes since v1.3.0-beta.1

### Experimental Features