Christoph, On Tue, Feb 5, 2013 at 3:04 PM, Christoph Gohlke <cgoh...@uci.edu> wrote: [...] >> In order not to leave this discussion without a resolution: >> >> Christophe - would you allow us to distribute your numpy binaries for >> 1.7 from the numpy sourceforge page? >> >> Cheers, >> >> Matthew > > > I am OK with providing 64 bit "numpy-MKL" binaries (that is numpy > compiled with MSVC compilers and linked to Intel's MKL) for official > numpy releases. > > However: > > 1) There seems to be no real consensus and urge for doing this. Using a > free toolchain capable of building the whole scipy-stack would be much > preferred. Several 64 bit Python distributions containing numpy-MKL are > already available, some for free. > > 2) Releasing 64 bit numpy without matching scipy binaries would make > little sense to me. > > 3) Please do not just redistribute the binaries from my website and > declare them official. They might contain unreleased fixes from git > master and pull requests that are needed for my work and other packages. > > 4) Numpy-MKL requires the Intel runtime DLLs (MKL is linked statically > btw). I ship those with the installers and append the directory > containing the DLLs to os.environ['PATH'] in numpy/__init__.py. This is > a big no-no according to numpy developers. I don't agree. Anyway, those > changes are not in the numpy source repositories. > > 5) My numpy-MKL installers are Python distutils bdist_wininst > installers. That means if Python was installed for all users, installing > numpy-MKL on Windows >6.0 will prompt for UAC elevation. Another no-no?
I think that all these things should be possible to fix so that the binary is acceptable for the official NumPy binary. How exactly do you build the binaries? I wasn't able to find the info at: http://www.lfd.uci.edu/~gohlke/pythonlibs/ Do you have some scripts to do that? Do you use PowerShell? Or you do it by hand by mouse and clicks in Visual Studio somehow? If I can figure out how to do these builds, I'll be happy to figure out how to automate it and then we can try to figure out a solution that works for NumPy. Ondrej _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
