Just to note, on the compilation issue, I encountered this a while ago with numpy 1.1.1 and I think Python 2.6b2, again because we wanted to skip Python 2.5 in my organization, largely because it was an issue to get working on 64-bit. I couldn't find anywhere 7.1 was available.

We discussed errors you are encountering a few months ago, they are related to the compiler directives.

> #ifndef HAVE_FREXPF
> static float frexpf(float x, int * i)
> {
>     return (float)frexp((double)(x), i);
> }
> #endif
> #ifndef HAVE_LDEXPF
> static float ldexpf(float x, int i)
> {
>     return (float)ldexp((double)(x), i);
> }
> #endif

Commenting out this section at line 64 allow compilation and has no ill effects.

Hanni



2008/10/8 David Cournapeau <david@ar.media.kyoto-u.ac.jp>
Ravi wrote:
>
> The reasons above are why I don't try to do anything on Windows unless there
> is support from some external source, e.g., CMake taking care of build issues.
> The reasons above are also why I admire your heroic efforts at making Windows
> binaries available. But, then, I sometimes wonder about the motivation for an
> unpaid volunteer to take on an utterly thankless job in which help is never
> forthcoming from users;

I think numpy and scipy have a wonderful potential, and that currently,
installation is the biggest hurdle. I can show some awesome things in
numpy/scipy and co that people used to matlab would only dream of. But
if it takes more than 2 minutes and a few clicks to install, it is of no
use. I have some people who ask me how to install numpy/scipy, and I
have no simple answer: I think this is by far the biggest barrier of
entry for numpy and scipy ATM. That's why I am interested in making
numpy and scipy installation easy.

>
> Thank for taking on this arduous task.

Just want to mention I am certainly not the only one involved here for
windows binaries. This is really a collective work,

cheers,

David
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