Re: [pypy-dev] progress with numpy and removal of numpy.py

2013-10-29 Thread Christian Tismer
On 17/10/13 10:59, Antonio Cuni wrote: Hi, On 15/10/13 12:45, matti picus wrote: and what about cloning the numpy repo into bitbucket/pypy to make it more of a "pypy owned" thing? I think it's a good idea. I propose the following: 1) we move your repo to bitbucket/pypy/numpypy 2) we packa

Re: [pypy-dev] progress with numpy and removal of numpy.py

2013-10-17 Thread Antonio Cuni
Hi, On 15/10/13 12:45, matti picus wrote: and what about cloning the numpy repo into bitbucket/pypy to make it more of a "pypy owned" thing? I think it's a good idea. I propose the following: 1) we move your repo to bitbucket/pypy/numpypy 2) we package numpypy, so that people can just do "p

Re: [pypy-dev] progress with numpy and removal of numpy.py

2013-10-15 Thread matti picus
and what about cloning the numpy repo into bitbucket/pypy to make it more of a "pypy owned" thing? Matti On Tue, Oct 15, 2013 at 1:18 PM, Romain Guillebert wrote: > Hi Matti > > I think we should remove numpy.py and package the pypy-hack branch > (even if it's not stable yet) so that people can

Re: [pypy-dev] progress with numpy and removal of numpy.py

2013-10-15 Thread Romain Guillebert
Hi Matti I think we should remove numpy.py and package the pypy-hack branch (even if it's not stable yet) so that people can use it directly. Cheers Romain On Tue, Oct 15, 2013 at 6:15 AM, Matti Picus wrote: > I have been working to get numfocus benchmarks written for numpy to run on > numpypy

Re: [pypy-dev] progress with numpy and removal of numpy.py

2013-10-14 Thread Yury V. Zaytsev
On Tue, 2013-10-15 at 07:15 +0300, Matti Picus wrote: > > I did ask on IRC before the change, and got two positive votes, but > feel a need for wider consensus. Does that mean that now one only can import NumPyPy as follows import numpypy instead of import numpy ? If yes, what is goin

[pypy-dev] progress with numpy and removal of numpy.py

2013-10-14 Thread Matti Picus
I have been working to get numfocus benchmarks written for numpy to run on numpypy and pypy https://github.com/numfocus/python-benchmarks The biggest obstacle is actually the need for matplotlib, which is used internally to produce pretty comparisons between different benchmarks. Luckily, Ste