[Numpy-discussion] numpy, Py_ssize_t, cython and 64 bits python 2.4
Charles R Harris
charlesr.harris@gmail....
Sun Nov 9 14:01:05 CST 2008
On Sun, Nov 9, 2008 at 11:44 AM, David Cournapeau <cournape@gmail.com>wrote:
> On Mon, Nov 10, 2008 at 2:40 AM, Charles R Harris
> <charlesr.harris@gmail.com> wrote:
> >
> >
> > Let me see if I understand this correctly. For Python < 2.5 the list
> indices
> > and such are ints, while for later versions they are Py_ssize_t, which is
> > larger on 64 bit systems. Meanwhile, Py_intptr_t is large enough to hold
> a
> > pointer.
>
> yes
>
> > So why are these two numbers being mixed?
>
> It is note that they are being mixed, but that cython does not support
> this configuration: it has a internal check which raise an exception
> in such a case. See around line 55:
>
> http://hg.cython.org/cython/file/764f1578df40/Cython/Includes/numpy.pxd
>
> As I understand, this means you can't use cython for such a
> configuration, but I just wanted to confirm whether there were known
> workarounds.
>
Lessee,
cdef extern from "Python.h":
ctypedef int Py_intptr_t
cdef extern from "numpy/arrayobject.h":
ctypedef Py_intptr_t npy_intp
So they are screwing with the npy_intp type. They should hang. Numpy is
numpy, Python is python, and never the two should meet. Note that none of
this crap is in the c_numpy.pxd included with numpy, BTW. I'd send the
cython folks a note and tell them to knock it off, the Py_* values are
irrelevant to numpy.
In any case, for Python < 2.5, this should be something like
cdef extern from "Python.h":
ctypedef int Py_ssize_t
cdef extern from "numpy/arrayobject.h":
ctypedef npy_intp Py_intptr_t
But for Python >= 2.5 this can be a problem because cython doesn't actually
read the include files and there will be a conflict with Py_ssize_t. There
needs to be an #ifndef somewhere and it probably needs to be in a *.h file.
Chuck
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