*/
    public static ExtractorFactory getExtractorFactory() {
        return getComponent(EXTRACTOR_FACTORY);
    }

    /**
     * Gets a job executor by name.
     * @param name The name of the job executor.
     * @return The job executor instance.
     */
    public static JobExecutor getJobExecutor(final String name) {
        if (name.endsWith(JOB_EXECUTOR_SUFFIX)) {
            return getComponent(name);

 *  * By completing.
 */
class TaskFaker : Closeable {
  val logger = Logger.getLogger("TaskFaker." + instance++)

  /** Though this executor service may hold many threads, they are not executed concurrently. */
  private val tasksExecutor = Executors.newCachedThreadPool(threadFactory("TaskFaker"))

  /**
   * True if this task faker has ever had multiple tasks scheduled to run concurrently. Guarded by
   * `this`.

        CountDownLatch latch = new CountDownLatch(threadCount);
        AtomicInteger successCount = new AtomicInteger(0);
        ExecutorService executor = Executors.newFixedThreadPool(threadCount);

        for (int t = 0; t < threadCount; t++) {
            final int threadId = t;
            executor.submit(() -> {
                try {
                    for (int i = 0; i < operationsPerThread; i++) {

 *
 * {@snippet :
 * final RateLimiter rateLimiter = RateLimiter.create(2.0); // rate is "2 permits per second"
 * void submitTasks(List<Runnable> tasks, Executor executor) {
 *   for (Runnable task : tasks) {
 *     rateLimiter.acquire(); // may wait
 *     executor.execute(task);
 *   }
 * }
 * }
 *
 * <p>As another example, imagine that we produce a stream of data, and we want to cap it at 5kb per

  //
  // Example: If one calls `op->SetDeviceName("/device:GPU")`, the value
  // returned by DeviceName should be "/device:GPU:*" until a particular GPU is
  // chosen for the operation by the device placement logic in the
  // executor. After that, the value returned by DeviceName will be a full
  // device name such as "/job:localhost/replica:0/task:0/device:GPU:1".
  virtual const string& DeviceName() const = 0;

  // Sets the operation device name.
  //

    graph.putEdgeValue(5, 6, "C");

    int threadCount = 20;
    ExecutorService executor = newFixedThreadPool(threadCount);
    CyclicBarrier barrier = new CyclicBarrier(threadCount);
    ImmutableList.Builder<Future<?>> futures = ImmutableList.builder();
    for (int i = 0; i < threadCount; i++) {
      futures.add(
          executor.submit(
              () -> {
                barrier.await();

        thumbnailQueueBhv.batchInsert(list);
    }

    /**
     * Generates thumbnails using the provided executor service.
     *
     * @param executorService the executor service for parallel processing
     * @param cleanup whether to run in cleanup mode
     * @return the number of tasks processed
     */

        if (cleanupTask != null) {
            cleanupTask.cancel(false);
        }

        // Force cleanup of all resources
        int cleaned = forceCleanup();

        // Shutdown executor
        cleanupExecutor.shutdown();
        try {
            if (!cleanupExecutor.awaitTermination(5, TimeUnit.SECONDS)) {
                cleanupExecutor.shutdownNow();
            }

import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.ConcurrentNavigableMap;
import java.util.concurrent.ConcurrentSkipListMap;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.Executor;
import java.util.concurrent.LinkedBlockingDeque;
import java.util.concurrent.ScheduledThreadPoolExecutor;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.ThreadPoolExecutor;

import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.ConcurrentNavigableMap;
import java.util.concurrent.ConcurrentSkipListMap;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.Executor;
import java.util.concurrent.LinkedBlockingDeque;
import java.util.concurrent.ScheduledThreadPoolExecutor;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.ThreadPoolExecutor;