```java
public void test() throws Exception {
  // Create a MockWebServer. These are lean enough that you can create a new
  // instance for every unit test.
  MockWebServer server = new MockWebServer();

  // Schedule some responses.
  server.enqueue(new MockResponse().setBody("hello, world!"));
  server.enqueue(new MockResponse().setBody("sup, bra?"));
  server.enqueue(new MockResponse().setBody("yo dog"));

  // Start the server.

            completed.countDown();
          }
        };
    ListeningScheduledExecutorService service = listeningDecorator(delegate);
    ListenableFuture<Integer> future = service.schedule(Callables.returning(42), 1, MILLISECONDS);

    /*
     * Wait not just until the Future's value is set (as in future.get()) but
     * also until ListeningScheduledExecutorService's wrapper task is done

# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================

name: Close inactive issues
on:
  schedule:
    - cron: "30 1 * * *"

permissions:
  contents: read

jobs:
  close-issues:
    # Don't do this in forks
    if: github.repository == 'tensorflow/tensorflow'
    runs-on: ubuntu-latest

    if (plan is FailedPlan) return plan.result

    // Connect TCP asynchronously.
    tcpConnectsInFlight += plan
    val taskName = "$okHttpName connect ${routePlanner.address.url.redact()}"
    taskRunner.newQueue().schedule(
      object : Task(taskName) {
        override fun runOnce(): Long {
          val connectResult =
            try {
              plan.connectTcp()
            } catch (e: Throwable) {

                if (logger.isDebugEnabled()) {
                    logger.debug(s);
                }
            });
            task = new ProcessDestroyer(p, ist, commandDestroyTimeout);
            destoryTimer.schedule(task, commandTimeout);
            ist.start();

            if (logger.isDebugEnabled()) {
                logger.debug("Waiting for {}.", getName());
            }

            .build()

        val startNanos = System.nanoTime()
        val call = client.newCall(request)

        // Schedule a job to cancel the call in 1 second.
        executor.schedule({
          System.out.printf("%.2f Canceling call.%n", (System.nanoTime() - startNanos) / 1e9f)
          call.cancel()

              return@withLock false
            }
          }
        if (failDueToMissingPong) {
          failConnection(null)
          return@schedule -1L
        } else {
          writePing(false, INTERVAL_PING, 0)
          return@schedule pingIntervalNanos
        }
      }
    }
  }

  /**
   * Returns the number of [open streams][Http2Stream.isOpen] on this connection.
   */

                      return Thread.currentThread().getStackTrace().length;
                    }
                  },
                  directExecutor()));
        } else {
          // Otherwise, schedule a task on directExecutor
          unused =
              serializer.submit(
                  new Callable<@Nullable Void>() {
                    @Override
                    public @Nullable Void call() {

                      return Thread.currentThread().getStackTrace().length;
                    }
                  },
                  directExecutor()));
        } else {
          // Otherwise, schedule a task on directExecutor
          unused =
              serializer.submit(
                  new Callable<@Nullable Void>() {
                    @Override
                    public @Nullable Void call() {

PersistentVolumeClaim.
  * Run multiple schedulers in parallel, e.g. one or more custom schedulers
alongside the default Kubernetes scheduler, using pod annotations to select
among the schedulers for each pod. Documentation is [here](http://kubernetes.io/docs/admin/multiple-schedulers.md), design doc is [here](docs/proposals/multiple-schedulers.md).
  * More expressive node affinity syntax, and support for “soft” node affinity.