import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Executor;
import java.util.concurrent.ExecutorService;

/**
 * Tests for {@link ClosingFuture} that exercise {@link
 * ClosingFuture#finishToValueAndCloser(ValueAndCloserConsumer, Executor)}.
 */
public class ClosingFutureFinishToValueAndCloserTest extends AbstractClosingFutureTest {

/**
 * An abstract {@code ScheduledExecutorService} that allows subclasses to {@linkplain
 * #wrapTask(Callable) wrap} tasks before they are submitted to the underlying executor.
 *
 * <p>Note that task wrapping may occur even if the task is never executed.
 *
 * @author Luke Sandberg
 */
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault

    }


    @Override
    @Before
    public void setUp () throws Exception {
        super.setUp();
        this.executor = Executors.newCachedThreadPool();
    }


    @After
    @Override
    public void tearDown () throws Exception {
        this.executor.shutdown();
        this.executor.awaitTermination(10, TimeUnit.SECONDS);
        super.tearDown();
    }


    @Test

  virtual void EndStep() = 0;

  // Return the Eager Executor for current thread. Please note that Eager
  // Executor is only used in current TF but not in TFRT.
  virtual EagerExecutor& Executor() = 0;
  // Update the Eager Executor for current thread.
  virtual void SetExecutorForThread(EagerExecutor* executor) = 0;

  // Return a list of local tensorflow::Device*.

struct LoggingDevice {
  tensorflow::string device_name;
  tensorflow::string underlying_device;
  // Set to true whenever a TensorHandle is copied onto the device
  bool* arrived_flag;
  // Set to true whenever an operation is executed
  bool* executed_flag;
  // If true, only explicit op placements are accepted. If false, uses
  // type-based dispatch.
  bool strict_scope_placement;
};

struct LoggedTensor {
  TFE_TensorHandle* tensor;

    List<Future<?>> results = new ArrayList<>();
    final Runnable[] manualExecutorTask = new Runnable[1];
    Executor manualExecutor =
        new Executor() {
          @Override
          public void execute(Runnable task) {
            manualExecutorTask[0] = task;
          }
        };

    results.add(serializer.submit(Callables.returning(null), manualExecutor));

    dispatcher.maxRequestsPerHost = 4
    executor.assertJobs("http://a/1", "http://a/2", "http://a/3", "http://a/4")
  }

  @Test
  fun oldJobFinishesNewJobCanRunDifferentHost() {
    dispatcher.maxRequests = 1
    client.newCall(newRequest("http://a/1")).enqueue(callback)
    client.newCall(newRequest("http://b/1")).enqueue(callback)
    executor.finishJob("http://a/1")
    executor.assertJobs("http://b/1")
  }

  @Test

said the Gryphon, half to itself, half to Alice.

  `What IS the fun?' said Alice.

  `Why, SHE,' said the Gryphon.  `It's all her fancy, that:  they
never executes nobody, you know.  Come on!'

  `Everybody says "come on!" here,' thought Alice, as she went
slowly after it:  `I never was so ordered about in all my life,
never!'

```

your program could execute like this:

```mermaid
sequenceDiagram

participant code as Code
participant function as say_hi()
participant execute as Execute function

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: execute function code
        execute ->> code: return the result
    end

  }

  interface Chain {
    fun request(): Request

    @Throws(IOException::class)
    fun proceed(request: Request): Response

    /**
     * Returns the connection the request will be executed on. This is only available in the chains
     * of network interceptors; for application interceptors this is always null.
     */
    fun connection(): Connection?

    fun call(): Call