* limitations under the License.
 */

package com.google.common.util.concurrent;

import static com.google.common.util.concurrent.GeneratedMonitorTest.startThread;
import static com.google.common.util.concurrent.Uninterruptibles.joinUninterruptibly;
import static org.junit.Assert.assertThrows;

import com.google.common.util.concurrent.GeneratedMonitorTest.FlagGuard;

 * limitations under the License.
 */

package com.google.common.util.concurrent;

import static com.google.common.util.concurrent.GeneratedMonitorTest.startThread;
import static com.google.common.util.concurrent.Uninterruptibles.joinUninterruptibly;
import static org.junit.Assert.assertThrows;

import com.google.common.util.concurrent.GeneratedMonitorTest.FlagGuard;

          @Override
          public void run() {
            runChosenTest();
          }
        };
    final FutureTask<@Nullable Void> task = new FutureTask<>(runChosenTest, null);
    startThread(
        new Runnable() {
          @Override
          public void run() {
            task.run();
          }
        });
    awaitUninterruptibly(doingCallLatch);
    long hangDelayMillis =

          @Override
          public void run() {
            runChosenTest();
          }
        };
    final FutureTask<@Nullable Void> task = new FutureTask<>(runChosenTest, null);
    startThread(
        new Runnable() {
          @Override
          public void run() {
            task.run();
          }
        });
    awaitUninterruptibly(doingCallLatch);
    long hangDelayMillis =

}

void TF_DefaultThreadOptions(TF_ThreadOptions* options) {
  options->stack_size = 0;
  options->guard_size = 0;
  options->numa_node = -1;
}

TF_Thread* TF_StartThread(const TF_ThreadOptions* options,
                          const char* thread_name, void (*work_func)(void*),
                          void* param) {
  ::tensorflow::ThreadOptions cc_options;

    if (max_staleness_ > 0) {
      TF_ThreadOptions thread_options;
      TF_DefaultThreadOptions(&thread_options);
      pruning_thread_.reset(
          TF_StartThread(&thread_options, "TF_prune_FBC", PruneThread, this));
    }
    TF_VLog(1, "GCS file block cache is %s.\n",
            (IsCacheEnabled() ? "enabled" : "disabled"));
  }

  ~RamFileBlockCache() {

}

}  // namespace

TEST(TestEnv, TestThreads) {
  TF_ThreadOptions options;
  TF_DefaultThreadOptions(&options);
  SomeThreadData data;
  TF_Thread* thread =
      TF_StartThread(&options, "SomeThreadName", &SomeThreadFunc, &data);
  TF_JoinThread(thread);
  ::tensorflow::mutex_lock l(data.mu);
  ASSERT_TRUE(data.did_work);

  std::vector<std::unique_ptr<Thread>> threads;
  threads.reserve(callers);
  for (int i = 0; i < callers; i++) {
    threads.emplace_back(
        Env::Default()->StartThread({}, "caller", [block_size, &cache, i]() {
          std::vector<char> out;
          TF_EXPECT_OK(
              ReadCache(&cache, "a", i * block_size, block_size, &out));
          std::vector<char> x(block_size, 'x');

// starts. In this way, data may be passed from the thread back to the caller.
//
// Caller takes ownership of the result and must call TF_JoinThread on it
// eventually.
TF_CAPI_EXPORT extern TF_Thread* TF_StartThread(const TF_ThreadOptions* options,
                                                const char* thread_name,
                                                void (*work_func)(void*),

            TFE_NewExecutor(is_async, /*enable_streaming_enqueue=*/true,
                            /*in_flight_nodes_limit=*/in_flight_nodes_limit)),
        op_(nullptr),
        thread_(tensorflow::Env::Default()->StartThread(
            tensorflow::ThreadOptions(), "parallel_device_execute",
            std::bind(&DeviceThread::Run, this))) {}
  ~DeviceThread();

  // Requests that the worker thread execute the specified operation. Blocks