}

void TFE_DeleteExecutor(TFE_Executor* executor) { delete executor; }

bool TFE_ExecutorIsAsync(TFE_Executor* executor) {
  return executor->executor()->Async();
}

void TFE_ExecutorWaitForAllPendingNodes(TFE_Executor* executor,
                                        TF_Status* status) {
  status->status = executor->executor()->WaitForAllPendingNodes();
}

import java.util.concurrent.Callable;
import org.jspecify.annotations.Nullable;

/**
 * A listening executor service which forwards all its method calls to another listening executor
 * service. Subclasses should override one or more methods to modify the behavior of the backing
 * executor service as desired per the <a
 * href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *

  TFE_DeleteTensorHandle(h1_task1);
  TFE_DeleteTensorHandle(retvals[0]);

  TFE_DeleteOp(matmul);

  TFE_Executor* executor = TFE_ContextGetExecutorForThread(ctx);
  TFE_ExecutorWaitForAllPendingNodes(executor, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteExecutor(executor);
  TFE_DeleteContext(ctx);

  TF_DeleteStatus(status);

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

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

import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import org.jspecify.annotations.Nullable;

/**
 * An executor service which forwards all its method calls to another executor service. Subclasses
 * should override one or more methods to modify the behavior of the backing executor service as
 * desired per the <a href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *

    assertFalse(future.isCancelled());

    ExecutorService executor = newSingleThreadExecutor();

    try {
      Future<Boolean> getResult = executor.submit(() -> future.get());

      // Release the future value.
      latch.countDown();

      assertTrue(getResult.get(10, SECONDS));
    } finally {
      executor.shutdownNow();
    }

    assertTrue(future.isDone());

        ExecutorService executor = Executors.newFixedThreadPool(numThreads);
        CountDownLatch startLatch = new CountDownLatch(1);
        CountDownLatch doneLatch = new CountDownLatch(numThreads);
        AtomicInteger totalDrained = new AtomicInteger(0);

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

import static com.google.common.truth.Truth.assertWithMessage;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import java.util.concurrent.Executor;
import java.util.concurrent.Future;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/** Test for {@link ListenableFuture}. */
@NullUnmarked
@GwtIncompatible
@J2ktIncompatible

## Vue d'ensemble

Fess est un serveur de recherche très puissant et facilement déployable pour les entreprises. Vous pouvez rapidement installer et exécuter Fess sur toute plateforme où vous pouvez exécuter l'environnement d'exécution Java. Fess est fourni sous la licence [Apache License 2.0](LICENSE).

```mermaid
sequenceDiagram

participant code as Código
participant function as say_hi()
participant execute as Ejecutar función

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: ejecutar código de la función
        execute ->> code: devolver el resultado
    end

    rect rgba(0, 255, 255, .1)