If you have ever wanted to use CPython extension modules on PyPy, we want to announce that there is a solution that should be compatible to quite a bit of the available modules. It is neither new nor written by us, but works nevertheless great with PyPy.
The trick is to use RPyC, a transparent, symmetric remote procedure call library written in Python. The idea is to start a CPython process that hosts the PyQt libraries and connect to it via TCP to send RPC commands to it.
I tried to run PyQt applications using it on PyPy and could get quite a bit of the functionality of these working. Remaining problems include regular segfaults of CPython because of PyQt-induced memory corruption and bugs because classes like StandardButtons behave incorrectly when it comes to arithmetical operations.
Changes to RPyC needed to be done to support remote unbound __init__ methods, shallow call by value for list and dict types (PyQt4 methods want real lists and dicts as parameters), and callbacks to methods (all remote method objects are wrapped into small lambda functions to ease the call for PyQt4).
If you want to try RPyC to run the PyQt application of your choice, you just need to follow these steps. Please report your experience here in the blog comments or on our mailing list.
- Download RPyC from the RPyC download page.
- Download this patch and apply it to RPyC by running patch -p1 < rpyc-3.0.7-pyqt4-compat.patch in the RPyC directory.
- Install RPyc by running python setup.py install as root.
- Run the file rpyc/servers/classic_server.py using CPython.
- Execute your PyQt application on PyPy.
PyPy will automatically connect to CPython and use its PyQt libraries.
Note that this scheme works with nearly every extension library. Look at pypy/lib/sip.py on how to add new libraries (you need to create such a file for every proxied extension module).
Have fun with PyQt
Alexander Schremmer
