[Numpy-discussion] Compiling NumPy on 64 bit Solaris 10 sparc)

Ralf Gommers ralf.gommers@googlemail....
Thu Jun 17 08:53:44 CDT 2010


On Tue, Jun 15, 2010 at 11:06 AM, Chris LeBlanc <crleblanc@gmail.com> wrote:

> Hi,
>
> Firstly thanks to everyone that has helped bring NumPy to the point it
> is today.  Its an excellent bit of software.
>
> I've recently managed to get NumPy to compile on a 64 bit Solaris 10
> (sparc) machine.  We've embedded 64 bit Python in some of our C code
> using the Python C-API, and therefore require a 64 bit version of
> NumPy.
>
> I had to use a bit of a hack to get NumPy to compile in 64 bit mode,
> and I'm just wondering if there's a more elegant way of doing it?
>
> If I set CFLAGS to "-m64 -xcode=pic32", and CC to "/usr/bin/cc", it
> will raise the following error:
>
> ... snipped most of backtrace ...
>  File "/home/leblanc/source/numpy/numpy/distutils/command/build_src.py",
> line 385, in generate_sources
>    source = func(extension, build_dir)
>  File "numpy/core/setup.py", line 675, in get_mathlib_info
>    raise RuntimeError("Broken toolchain: cannot link a simple C program")
>
> However, if I create a wrapper script and set CC to the path of the
> wrapper, then it will build normally and create a NumPy module I can
> use from the 64 bit version of Python installed on the system
> (/usr/bin/sparcv9/python).  Here's the wrapper:
>
> #!/bin/sh
> /usr/bin/cc -m64 -xcode=pic32 $*
>
> I did a bit of googling and couldn't find much information on this
> issue (which is why I wanted to post this message, so others could
> find it).  I'm satisfied with the results, but wondering if there's a
> better way to do it.
>
> It's because CFLAGS does not append to but overrides flags. Your wrapper
script manages to append flags.

Does the patch in http://projects.scipy.org/numpy/ticket/1382 work for you?
If so it can be applied I think.

Cheers,
Ralf
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.scipy.org/pipermail/numpy-discussion/attachments/20100617/0b166ebf/attachment-0001.html 


More information about the NumPy-Discussion mailing list