ExecutorService delegate = mock(ExecutorService.class);
    ListeningExecutorService service = listeningDecorator(delegate);
    Runnable task =
        new Runnable() {
          @Override
          public void run() {}
        };
    service.execute(task);
    verify(delegate).execute(task);
  }

  public void testListeningDecorator_scheduleSuccess() throws Exception {

    operation ->> client: Return response to client
    Note over client,operation: Response is already sent, can't change it anymore
    opt Tasks
        operation -->> tasks: Send background tasks
    end
    opt Raise other exception
        tasks -->> tasks: Handle exceptions in the background task code
    end
```

!!! info

import org.gradle.tooling.events.FinishEvent
import org.gradle.tooling.events.OperationCompletionListener
import org.gradle.tooling.events.task.TaskFailureResult
import org.gradle.tooling.events.task.TaskFinishEvent
import org.gradle.tooling.events.task.TaskSuccessResult
import java.io.File
import java.io.FileOutputStream
import java.io.IOException
import java.nio.charset.StandardCharsets
import java.nio.file.Files

  private val cleanupQueue: TaskQueue = taskRunner.newQueue()
  private val cleanupTask =
    object : Task("$okHttpName ConnectionPool connection closer") {
      override fun runOnce(): Long = closeConnections(System.nanoTime())
    }

  private fun AddressState.scheduleOpener() {
    queue.schedule(
      object : Task("$okHttpName ConnectionPool connection opener") {

3. Make sure the file with accepted changes is sorted.\
Use the `./gradlew :architecture-test:sortAcceptedApiChanges` task to sort the file.

4. Validate your changes before committing.\
Run the `./gradlew sanityCheck` task again to make sure there are no more errors.

#### Filtering changes by severity

        final Tuple3<String, String, String> task = new Tuple3<>(getName(), thumbnailId, path);
        if (logger.isDebugEnabled()) {
            logger.debug("Create thumbnail task: {}", task);
        }
        return task;
    }

    public void setDirectoryNameLength(final int directoryNameLength) {

    job_def->mutable_tasks()->insert(
        {i, tensorflow::strings::StrCat("localhost:", port)});
    LOG(INFO) << "Picked test port: " << port << " for job: " << job_name
              << ", task: " << i;
  }
  return server_def;
}

tensorflow::ServerDef GetServerDef(int num_tasks) {
  return GetServerDef("localhost", num_tasks);
}

tensorflow::ServerDef GetMultiClientServerDef(const std::string& job_name,

It's called "asynchronous" because the computer / program doesn't have to be "synchronized" with the slow task, waiting for the exact moment that the task finishes, while doing nothing, to be able to take the task result and continue the work.

  TFE_OpReset(reused_op.get(), "Identity",
              "/job:localhost/replica:0/task:0/device:CPU:0", status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  ASSERT_EQ(tensorflow::string(TFE_OpGetDevice(reused_op.get(), status.get())),
            tensorflow::string("/job:localhost/replica:0/task:0/device:CPU:0"));
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
}

    allTasks.add(setFutureCompleteExceptionallyRunnable);
    allTasks.add(setFutureCancelRunnable);
    for (int k = 0; k < 50; k++) {
      // For each listener we add a task that submits it to the executor directly for the blocking
      // get use case and another task that adds it as a listener to the future to exercise both
      // racing addListener calls and addListener calls completing after the future completes.
      final Runnable listener =