On Sat, Mar 30, 2013 at 1:56 AM, Kay F. Jahnke <_...@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 :) _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
