}

  public void testNoOpScheduledExecutorShutdown() {
    ListeningScheduledExecutorService executor = TestingExecutors.noOpScheduledExecutor();
    assertFalse(executor.isShutdown());
    assertFalse(executor.isTerminated());
    executor.shutdown();
    assertTrue(executor.isShutdown());
    assertTrue(executor.isTerminated());
  }

  stream_executor::StreamExecutor* executor =
      platform->ExecutorForDevice(0).value();
  TF_ASSERT_OK_AND_ASSIGN(auto stream, executor->CreateStream());

  se::DeviceMemoryBase gpu_dst{device_tensor.data(), 4 * sizeof(float)};
  xla::Shape shape;
  TF_ASSERT_OK(TensorShapeToXLAShape(DT_FLOAT, TensorShape({2, 2}), &shape));

  TF_ASSERT_OK_AND_ASSIGN(auto se_event, executor->CreateEvent());

  public void addListener(Runnable listener, Executor executor) {
    checkNotNull(listener, "Runnable was null.");
    checkNotNull(executor, "Executor was null.");
    try {
      executor.execute(listener);
    } catch (Exception e) { // sneaky checked exception
      // ListenableFuture's contract is that it will not throw unchecked exceptions, so log the bad
      // runnable and/or executor and swallow it.
      log.get()
          .log(

    private final InternalParameterAcceptingConnection executor;

    ParameterizedActionRunner(InternalParameterAcceptingConnection executor, CancellationExceptionTransformer exceptionTransformer, VersionDetails versionDetails) {
        super(null, exceptionTransformer, versionDetails);
        this.executor = executor;
    }

    @Override

    private final InternalCancellableConnection executor;
    private final CancellationExceptionTransformer exceptionTransformer;
    private final VersionDetails versionDetails;

    CancellableActionRunner(InternalCancellableConnection executor, CancellationExceptionTransformer exceptionTransformer, VersionDetails versionDetails) {
        this.executor = executor;
        this.exceptionTransformer = exceptionTransformer;

import java.util.Collection;
import java.util.concurrent.Executor;
import java.util.concurrent.locks.Lock;

class ExpectAllRequestsThenReleaseAll extends ExpectMaxNConcurrentRequestsThenRelease {
    ExpectAllRequestsThenReleaseAll(Lock lock, int testId, Duration timeout, WaitPrecondition previous, Collection<? extends ResourceExpectation> expectations, Executor executor) {

import org.gradle.tooling.internal.protocol.ResultHandlerVersion1
import spock.lang.Specification

class DefaultTestLauncherTest extends Specification {
    def executor = Mock(AsyncConsumerActionExecutor)
    def connection = Mock(ConsumerConnection)
    def launcher = new DefaultTestLauncher(executor, Stub(ConnectionParameters))

    def "adding tests does not affect an operation in progress"() {
        given:
        launcher.withJvmTestClasses("test")

import java.util.Collection;
import java.util.concurrent.Executor;
import java.util.concurrent.locks.Lock;

public class ExpectMaxNRequestsThenReleaseOne extends ExpectMaxNConcurrentRequestsThenRelease {
    public ExpectMaxNRequestsThenReleaseOne(Lock lock, int testId, Duration timeout, int maxConcurrent, WaitPrecondition previous, Collection<? extends ResourceExpectation> expectedRequests, Executor executor) {

namespace tf2xla {
namespace v1 {

// Given the input Module op that's in the Tensorflow Dialect, convert the MLIR
// module in place to the Tensorflow Executor Dialect. Returns an OK Status if
// success, otherwise failure with an error message.
// The Tensorflow Executor Dialect is required to export an MLIR module to a
// Tensorflow GraphDef. This API will add control dependencies and verify that

// module in place to the Tensorflow Executor Dialect. Returns an OK Status if
// success, otherwise failure with an error message.
// The Tensorflow Executor Dialect is required to export an MLIR module to a
// Tensorflow GraphDef. This API will add control dependencies and verify that
// the conversion was successful.
//
// This also converts the Tensorflow Dialect MLIR into the Tensorflow Executor