Hi all,
here's something I don't understand. Consider the following code snippet:
---
class A(object):
def __radd__(self, other):
print(type(other))
import numpy as np
np.complex64(1j) + A()
-
Hi Robert,
On Fri, 30 Dec 2011 20:05:14 +, Robert Kern wrote:
> On Fri, Dec 30, 2011 at 18:57, Andreas Kloeckner
> wrote:
> > Hi Robert,
> >
> > On Tue, 27 Dec 2011 10:17:41 +, Robert Kern
> > wrote:
> >> On Tue, Dec 27, 2011 at 01:22, Andre
Hi Robert,
On Tue, 27 Dec 2011 10:17:41 +, Robert Kern wrote:
> On Tue, Dec 27, 2011 at 01:22, Andreas Kloeckner
> wrote:
> > Hi all,
> >
> > Two questions:
> >
> > - Are dtypes supposed to be comparable (i.e. implement '==', '!='
Hi all,
Two questions:
- Are dtypes supposed to be comparable (i.e. implement '==', '!=')?
- Are dtypes supposed to be hashable?
PyCUDA and PyOpenCL assume both in a few places, but at least
hashability doesn't seem to be true. (If so, __hash__ should be
implemented to throw an error. If not, w
Hi all,
I've just tried to set up a Python 3 test environment for me to begin
porting PyCUDA and PyOpenCL to Python 3, but numpy installation managed
to foil my. I'm on Debian, and I believe that Debian purposefully
compiles ATLAS without pthreads support. Whenever I build numpy 1.5, I
encounter t
