ClosingFuture<String> closingFuture =
        ClosingFuture.from(executor.submit(Callables.returning(closeable1)))
            .transform(
                (DeferredCloser closer, TestCloseable v) -> {
                  assertThat(v).isSameInstanceAs(closeable1);
                  return "value";
                },
                executor);
    assertThat(getFinalValue(closingFuture)).isEqualTo("value");

    executor.execute(task);
    return task;
  }

  /**
   * Executes {@code runnable} on the specified {@code executor}, returning a {@code Future} that
   * will complete after execution.
   *
   * @throws RejectedExecutionException if the task cannot be scheduled for execution
   * @since 28.2
   */
  public static ListenableFuture<@Nullable Void> submit(Runnable runnable, Executor executor) {

    ClosingFuture<String> closingFuture =
        ClosingFuture.from(executor.submit(Callables.returning(closeable1)))
            .transform(
                (DeferredCloser closer, TestCloseable v) -> {
                  assertThat(v).isSameInstanceAs(closeable1);
                  return "value";
                },
                executor);
    assertThat(getFinalValue(closingFuture)).isEqualTo("value");

    if (state.iterations() >= state.max_iterations && async) {
      TFE_Executor* executor = TFE_ContextGetExecutorForThread(ctx);
      TFE_ExecutorWaitForAllPendingNodes(executor, status);
      ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      TFE_DeleteExecutor(executor);
    }
  }
  TFE_DeleteOp(matmul);
  TFE_DeleteTensorHandle(m);
  TFE_DeleteContext(ctx);

        }

        void execute() {
            try (var phase = executor.phase()) {
                plan();
                executePlan();
            } catch (Exception e) {
                session.getResult().addException(e);
            }
        }

        @Override
        public void close() {
            this.executor.close();
        }

        /**

    visibility = ["//visibility:public"],
    win_def_file = ":tensorflow_filtered_def_file",
)

# To avoid duplication, check that the C++ or python library does not depend on
# the stream executor cuda plugins. Targets that want to use cuda APIs should
# instead depend on the dummy plugins in //tensorflow/compiler/xla/tsl/platform/default/build_config
# and use header only targets.

  fun synchronousRequest() {
    server.enqueue(MockResponse(body = "A"))
    server.enqueue(MockResponse(body = "A"))
    val executor = Executors.newCachedThreadPool(threadFactory("HttpOverHttp2Test"))
    val countDownLatch = CountDownLatch(2)
    executor.execute(AsyncRequest("/r1", countDownLatch))
    executor.execute(AsyncRequest("/r2", countDownLatch))
    countDownLatch.await()
    assertThat(server.takeRequest().exchangeIndex).isEqualTo(0)

# Make Bazel not try to probe the host system for a C++ toolchain.
common:rbe_base --config=resultstore
common:rbe_base --repo_env=BAZEL_DO_NOT_DETECT_CPP_TOOLCHAIN=1
common:rbe_base --define=EXECUTOR=remote
common:rbe_base --jobs=800
common:rbe_base --remote_executor=grpcs://remotebuildexecution.googleapis.com
common:rbe_base --remote_timeout=3600
common:rbe_base --spawn_strategy=remote,worker,standalone,local

 * if you are writing a application that needs to aggressively release unused resources you may do
 * so.
 *
 * Shutdown the dispatcher's executor service with [shutdown()][ExecutorService.shutdown]. This will
 * also cause future calls to the client to be rejected.
 *
 * ```java
 * client.dispatcher().executorService().shutdown();
 * ```
 *

# Script template for job execution.
job.template.script=return container.getComponent("crawlJob").logLevel("info").webConfigIds([{0}] as String[]).fileConfigIds([{1}] as String[]).dataConfigIds([{2}] as String[]).jobExecutor(executor).execute();
# Maximum number of crawler processes.
job.max.crawler.processes=0
# Default script language for jobs.
job.default.script=groovy
# Pattern to filter system properties for jobs.