Hi group!
I'm running numpypy and I have a problem with augmented assignment
statements. It looks to me like the relevant methods are simply absent
from my numpypy array objects. Consider for example:
$ pypy
Python 2.7.3 (7e4f0faa3d51, Nov 16 2012, 16:56:51)
[PyPy 2.0.0-beta1 with GCC 4.4.3] on linux2
...
>>>> import numpypy as np
>>>> a=np.array([1])
>>>> b = a
>>>> b is a
True
>>>> b *= 3
>>>> b is a
False
>>>> b.__imul__
Traceback (most recent call last):
File "<console>", line 1, in <module>
AttributeError: 'ndarray' object has no attribute '__imul__'
On numpy under CPython, 'b is a' evaluates to True, and
np.ndarray.__imul__ is present. I suppose since the method isn't there,
the system is falling back to run __mul__ and assigns the result to a
new object (after all b contains correct data after the *=), but for my
application I want the in-place operation. I've browsed in circles for a
while to find out what's wrong or, respectively, why it is as it is;
there might be a simple answer to my problem, so I decided to ask for
help :)
With regards
Kay
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