[Numpy-discussion] pyhdf packaging

Hi, I would like to package pyhdf for Ubuntu and make the package publicly available. Since the license is not totally clear to me (I cannot find any information in the sources, and the cheeseshop says public, which doesn't mean anything to me), I tried to contact the maintainer, Andre Gosselin,

[Numpy-discussion] Compiling NumPy on Windows for Python 3.3

Dear all, Since the NumPy 1.7.0b2 release didn't include a Windows (32 bit) installer for Python 3.3, I am considering compiling it myself for local testing. What compiler is recommended? Thanks, Peter ___ NumPy-Discussion mailing list

Re: [Numpy-discussion] 1.7.0 release

Hi, I updated the numpy master and recompiled it. I still have the compilation error I got from Theano. I'll pop up that email thread again to have the history and I made a PR for this. Also, I think I said that numpy.ndindex changed its interface, in the past numpy.ndindex() was valid, not this

Re: [Numpy-discussion] np 1.7b2 PyArray_BYTES(obj)=ptr fail

Hi, I made a PR with my fix: https://github.com/numpy/numpy/pull/2709 Frédéric On Tue, Oct 2, 2012 at 6:18 PM, Charles R Harris charlesr.har...@gmail.comwrote: On Tue, Oct 2, 2012 at 1:44 PM, Frédéric Bastien no...@nouiz.org wrote: With numpy 1.6.2, it is working. So this is an

[Numpy-discussion] strange behavior of numpy.unique

numpy.unique behaves as I would expect for small inputs like the following: In [12]: x= [0, 0, 1, 0, 1, 2, 0, 1, 2, 3] In [13]: unique(x, return_index=True) Out[13]: (array([0, 1, 2, 3]), array([0, 2, 5, 9], dtype=int64)) But, when I give it something larger, the return index values do not

Re: [Numpy-discussion] strange behavior of numpy.unique

On Tue, Nov 6, 2012 at 8:27 PM, Phillip Feldman phillip.m.feld...@gmail.com wrote: numpy.unique behaves as I would expect for small inputs like the following: In [12]: x= [0, 0, 1, 0, 1, 2, 0, 1, 2, 3] In [13]: unique(x, return_index=True) Out[13]: (array([0, 1, 2, 3]), array([0, 2, 5, 9],