// (as in the case of ConstOp kernel creation on GPU, which involves copying a
  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();

      @Override
      public void run() {}
    }

    @Keep
    public static final class DummyThreadFactory implements ThreadFactory, Serializable {
      @Override
      public Thread newThread(Runnable r) {
        return new Thread(r);
      }
    }

    @Keep
    public static final class DummyExecutor implements Executor, Serializable {
      @Override
      public void execute(Runnable command) {}
    }

import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;

@Warmup(iterations = 5)
@Measurement(iterations = 7)
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
@State(Scope.Thread)
@Fork(value = 1)
public class TermsReduceBenchmark {
    private final SearchPhaseController controller = new SearchPhaseController(req -> new InternalAggregation.ReduceContextBuilder() {
        @Override

        this.localInterfaces = new ArrayList<>();
        this.remoteInterfaces = new ArrayList<>();
        this.scheduler = Executors.newScheduledThreadPool(2, r -> {
            Thread t = new Thread(r, "MultiChannelScheduler");
            t.setDaemon(true);
            return t;
        });
        this.loadBalancer = new ChannelLoadBalancer(this);
        this.failover = new ChannelFailover(this);

    Class<?> sepFrqC = sepLoader.loadClass(frqC.getName());
    assertThat(frqC).isNotSameInstanceAs(sepFrqC);
    // Check the assumptions above.

    // FRQ tries to load the Finalizer class (for the reference-collecting thread) in a few ways.
    // If the class is accessible to the system ClassLoader (ClassLoader.getSystemClassLoader())
    // then FRQ does not bother to load Finalizer.class through a separate ClassLoader. That happens

        return executeGoal;
    }

    /**
     * @return True if the <code>Mojo</code> is thread-safe and can be run safely in parallel
     * @since 3.0-beta-2
     */
    public boolean isThreadSafe() {
        return threadSafe;
    }

    /**
     * @param threadSafe indicates that the mojo is thread-safe and can be run safely in parallel
     * @since 3.0-beta-2
     */

     * cleaning up from the read thread.
     */
    void postReadCleanup() {
      if ((readCount.incrementAndGet() & DRAIN_THRESHOLD) == 0) {
        runCleanup();
      }
    }

    /**
     * Performs routine cleanup prior to executing a write. This should be called every time a write
     * thread acquires the segment lock, immediately after acquiring the lock.
     */

 * useForNull} has no effect on the instance it is invoked on! You must store and use the new joiner
 * instance returned by the method. This makes joiners thread-safe, and safe to store as {@code
 * static final} constants.
 *
 * {@snippet :
 * // Bad! Do not do this!
 * Joiner joiner = Joiner.on(',');
 * joiner.skipNulls(); // does nothing!

    assertThat(recordedRequest.url.encodedQuery).isEqualTo(
      "ct&dns=AAABAAABAAAAAAAABmdvb2dsZQNjb20AAAEAAQ",
    )

    assertThat(cacheEvents()).containsExactly(CacheMiss::class)

    Thread.sleep(2000)
    server.enqueue(
      dnsResponse(
        "0000818000010003000000000567726170680866616365626f6f6b03636f6d0000010001c00c000500010" +

   * {@code directExecutor} functions should avoid heavyweight operations inside {@code
   * AsyncFunction.apply}. Any heavyweight operations should occur in other threads responsible for
   * completing the returned {@code Future}.)
   *
   * <p>This method is similar to {@link java.util.concurrent.CompletableFuture#exceptionally}. It