return null;
    }

    DcerpcBinding binding;
    int max_xmit, max_recv;

    public DcerpcBind() {
    }
    DcerpcBind(DcerpcBinding binding, DcerpcHandle handle) {
        this.binding = binding;
        max_xmit = handle.max_xmit;
        max_recv = handle.max_recv;
        ptype = 11;
        flags = DCERPC_FIRST_FRAG | DCERPC_LAST_FRAG;
    }

    public int getOpnum() {

    }

    private DcerpcBinding binding;
    private int max_xmit, max_recv;


    /**
     * Construct bind message
     * 
     */
    public DcerpcBind () {}


    DcerpcBind ( DcerpcBinding binding, DcerpcHandle handle ) {
        this.binding = binding;
        this.max_xmit = handle.getMaxXmit();
        this.max_recv = handle.getMaxRecv();
        this.ptype = 11;

	sig := f.Type().(*types.Signature)
	if sig.Recv() != nil {
		panic("method considered a regular function: " + f.String())
	}
	if w.isDeprecated(f) {
		w.emitf("func %s //deprecated", f.Name())
	}
	w.emitf("func %s%s", f.Name(), w.signatureString(sig))
}

func (w *Walker) emitMethod(m *types.Selection) {
	sig := m.Type().(*types.Signature)
	recv := sig.Recv().Type()

        if ( fraglen > getMaxRecv() ) {
            throw new IOException("Unexpected fragment length: " + fraglen);
        }

        while ( have < fraglen ) {
            int r = this.handle.recv(inB, have, fraglen - have);
            if ( r == 0 ) {
                throw new IOException("Unexpected EOF");
            }
            have += r;
        }

        return have;
    }

// `send_device`, `recv_device`, and `send_device_incarnation` set.
TFE_Op* SendOp(TFE_Context* ctx, TFE_TensorHandle* in,
               const std::string& op_name, const std::string& send_device,
               const std::string& recv_device,
               tensorflow::uint64 send_device_incarnation);

// Return a RecvOp op `op_name` with the attributes `send_device`,
// `recv_device`, and `send_device_incarnation` set.

        }
        out.write(buf, off, length);
    }
    protected void doReceiveFragment(byte[] buf, boolean isDirect) throws IOException {
        int off, flags, length;

        if (buf.length < max_recv)
            throw new IllegalArgumentException("buffer too small");

        if (isStart && !isDirect) { // start of new frag, do trans
            off = in.read(buf, 0, 1024);
        } else {

        if ( this.maxMpxCount < 1 )
            this.maxMpxCount = 1;
        this.snd_buf_size = Math.min(this.snd_buf_size, this.server.maxBufferSize);
        this.recv_buf_size = Math.min(this.recv_buf_size, this.server.maxBufferSize);
        this.tx_buf_size = Math.min(this.tx_buf_size, this.server.maxBufferSize);

        this.capabilities &= this.server.scapabilities;

    /**
     * @return the binding
     */
    public DcerpcBinding getBinding () {
        return this.binding;
    }


    /**
     * @return the max_recv
     */
    int getMaxRecv () {
        return this.max_recv;
    }


    /**
     * @return the max_xmit
     */
    int getMaxXmit () {
        return this.max_xmit;
    }


    /**

            throw new DcerpcException("Invalid binding URL: " + str);

        return binding;
    }

    protected DcerpcBinding binding;
    protected int max_xmit = 4280;
    protected int max_recv = max_xmit;
    protected int state = 0;
    protected DcerpcSecurityProvider securityProvider = null;
    private static int call_id = 1;

    public static DcerpcHandle getHandle(String url,

                      send_device.size());
  TFE_OpSetAttrString(op, "recv_device", recv_device.c_str(),
                      recv_device.size());
  TFE_OpSetAttrInt(op, "send_device_incarnation", send_device_incarnation);

  return op;
}

TFE_Op* RecvOp(TFE_Context* ctx, const std::string& op_name,
               const std::string& send_device, const std::string& recv_device,
               tensorflow::uint64 send_device_incarnation) {