setDefault(Dispatcher.class, Dispatcher.immediate());
  }

  private static class DummySubscriber {

    private final EventBus eventBus = new EventBus();

    @Subscribe
    public void handle(@Nullable Object unused) {}

    Subscriber toSubscriber() throws Exception {
      return Subscriber.create(eventBus, this, subscriberMethod());
    }

    SubscriberExceptionContext toContext() {

  private final EventBus eventBus;
  private final Object event;
  private final Object subscriber;
  private final Method subscriberMethod;

  /**
   * @param eventBus The {@link EventBus} that handled the event and the subscriber. Useful for
   *     broadcasting a new event based on the error.
   * @param event The event object that caused the subscriber to throw.
   * @param subscriber The source subscriber context.

  ~AbstractTensorHandle() override {}

 public:
  // Returns tensor dtype.
  virtual tensorflow::DataType DataType() const = 0;

  // Returns the status of the tensor handle. If it is a tfrt::TensorHandle,
  // the tensor handle can be an error and return non-OK status.
  virtual absl::Status TensorHandleStatus() const;

  // Returns tensor shape. If tensor has unknown rank, shape remains untouched.

            throw SmbException.wrap(e);
        }
    }


    SmbFileOutputStream ( SmbFile file, SmbTreeHandleImpl th, SmbFileHandleImpl handle, int openFlags, int access, int sharing )
            throws CIFSException {
        this.file = file;
        this.handle = handle;
        this.openFlags = openFlags;
        this.access = access;
        this.sharing = sharing;
        this.append = false;

import jcifs.smb1.dcerpc.*;

public class MsrpcSamrOpenDomain extends samr.SamrOpenDomain {

    public MsrpcSamrOpenDomain(SamrPolicyHandle handle,
                    int access,
                    rpc.sid_t sid,
                    SamrDomainHandle domainHandle) {
        super(handle, access, sid, domainHandle);
        ptype = 0;
        flags = DCERPC_FIRST_FRAG | DCERPC_LAST_FRAG;
    }

const char* const kDlTensorCapsuleName = "dltensor";

// Converts eager tensor handle to DLPack (DLManagedTensor*), and return the
// void* for further PyCapsule construction.
TF_CAPI_EXPORT extern void* TFE_HandleToDLPack(TFE_TensorHandle* h,
                                               TF_Status* status);

// Converts DLPack (DLManagedTensor*) to eager tensor handle.
TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_HandleFromDLPack(void* dlm,

    TFE_OpAddInput(matmul, has_packed_input ? packed_handle : h1_task2, status);
    ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
  } else {
    // Handles are on task0 (local), and task2, but op is on task1.
    matmul = MatMulOp(ctx, h0_task0, h1_task2);
  }
  if (remote) {
    TFE_OpSetDevice(matmul, task1_name, status);

      // Since the input was forwarded, we released the input handle right away
      // and hence expect the input to be forwarded to the return tensor.
      EXPECT_EQ(orig_ptr, TF_TensorData(t));
    } else {
      // In async mode we expect forwarding to work without releasing the input
      // handle since by the time the kernel is executed we have released the
      // handle in the client code.
      EXPECT_EQ(orig_ptr, TF_TensorData(t));

  }

  public static class StringSubscriber {

    @Subscribe
    public void handle(String s) {}
  }

  public static class IntegerSubscriber {

    @Subscribe
    public void handle(Integer i) {}
  }

  public static class ObjectSubscriber {

    @Subscribe
    public void handle(Object o) {}
  }

  public void testFlattenHierarchy() {
    assertEquals(

			// See TestDelMarkerExpiration
			continue
		}

		// Skip rules with newer noncurrent versions specified. These rules are
		// not handled at an individual version level. eval applies only to a
		// specific version.
		if !obj.IsLatest && rule.NoncurrentVersionExpiration.NewerNoncurrentVersions > 0 {
			continue
		}