On Sat, Mar 30, 2013 at 1:56 AM, Kay F. Jahnke <_kfj@yahoo.com> wrote:

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

It's simply unsupported by now :)

On Sat, Mar 30, 2013 at 1:56 AM, Kay F. Jahnke <_kfj@yahoo.com> wrote:

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

It's simply unsupported by now :)