public void testWrap() {
    assertThat(Primitives.wrap(int.class)).isSameInstanceAs(Integer.class);
    assertThat(Primitives.wrap(Integer.class)).isSameInstanceAs(Integer.class);
    assertThat(Primitives.wrap(String.class)).isSameInstanceAs(String.class);
  }

  public void testUnwrap() {
    assertThat(Primitives.unwrap(Integer.class)).isSameInstanceAs(int.class);
    assertThat(Primitives.unwrap(int.class)).isSameInstanceAs(int.class);

  tensorflow::unwrap(ctx)->SetExecutorForThread(executor->executor());
}

TFE_Executor* TFE_ContextGetExecutorForThread(TFE_Context* ctx) {
  return new TFE_Executor(&tensorflow::unwrap(ctx)->Executor());
}

void TFE_HostAddressSpace(TFE_Context* ctx, TF_Buffer* buf) {
  auto address_space = tensorflow::DeviceNameUtils::AddressSpace(
      tensorflow::unwrap(ctx)->HostCPUParsedName());

 */

package jcifs.smb1.dcerpc;

import jcifs.smb1.dcerpc.ndr.NdrBuffer;

public interface DcerpcSecurityProvider
{
    void wrap(NdrBuffer outgoing) throws DcerpcException;
    void unwrap(NdrBuffer incoming) throws DcerpcException;

            buf.reset();
            buf.setIndex(8);
            buf.setLength(buf.dec_ndr_short());

            if (securityProvider != null)
                securityProvider.unwrap(buf);

            buf.setIndex(0);

            msg.decode_header(buf);

            off = 24;
            if (msg.ptype == 2 && msg.isFlagSet(DCERPC_LAST_FRAG) == false)
                off = msg.length;

public interface DcerpcSecurityProvider {

    /**
     * 
     * @param outgoing
     * @throws DcerpcException
     */
    void wrap ( NdrBuffer outgoing ) throws DcerpcException;


    /**
     * 
     * @param incoming
     * @throws DcerpcException
     */
    void unwrap ( NdrBuffer incoming ) throws DcerpcException;

  int real_num_outputs = expected_max_outputs;
  TFE_OpSetCancellationManager(op_.get(), wrap(cancellation_manager_), status);
  if (TF_GetCode(status) != TF_OK) return;

  // unwrap op_ and set step_id only if valid step id value was set.
  // Currently only required for non-TFRT use cases, e.g., EagerOp.
  if (step_id_.has_value()) {
    tensorflow::unwrap(op_.get())->SetStepId(step_id_.value());
  }

    }

    @Override
    public Map<R, Map<C, V2>> rowMap() {
      Function<Map<C, V1>, Map<C, V2>> rowFunction =
          new Function<Map<C, V1>, Map<C, V2>>() {
            @Override
            public Map<C, V2> apply(Map<C, V1> row) {
              return Maps.transformValues(row, function);
            }
          };
      return Maps.transformValues(fromTable.rowMap(), rowFunction);
    }

    @Override

    return ImmutableMap.<C, Map<R, V>>copyOf(columnMap);
  }

  @Override
  public ImmutableMap<R, Map<C, V>> rowMap() {
    // Casts without copying.
    ImmutableMap<R, ImmutableMap<C, V>> rowMap = this.rowMap;
    return ImmutableMap.<R, Map<C, V>>copyOf(rowMap);
  }

  @Override
  public int size() {
    return cellRowIndices.length;
  }

  @Override

    return ImmutableMap.<C, Map<R, V>>copyOf(columnMap);
  }

  @Override
  public ImmutableMap<R, Map<C, V>> rowMap() {
    // Casts without copying.
    ImmutableMap<R, ImmutableMap<C, V>> rowMap = this.rowMap;
    return ImmutableMap.<R, Map<C, V>>copyOf(rowMap);
  }

  @Override
  @CheckForNull
  public V get(@CheckForNull Object rowKey, @CheckForNull Object columnKey) {

    return;
  }
  status->status = tensorflow::unwrap(ctx)->EnableCollectiveOps(server_def);
}

TF_CAPI_EXPORT extern void TFE_AbortCollectiveOps(TFE_Context* ctx,
                                                  TF_Status* status) {
  tensorflow::EagerContext* context =
      tensorflow::ContextFromInterface(tensorflow::unwrap(ctx));
  auto collective_executor_handle = context->GetCollectiveExecutorHandle();