[Numpy-discussion] Segfault in mingw in test_arrayprint.TestComplexArray
Tue Jul 24 14:32:23 CDT 2012
On Tue, Jul 24, 2012 at 5:14 PM, Ondřej Čertík <firstname.lastname@example.org>wrote:
> On Fri, Jul 20, 2012 at 11:51 AM, David Cournapeau <email@example.com>
> > On Thu, Jul 19, 2012 at 4:58 PM, Ondřej Čertík <firstname.lastname@example.org>
> >> So I have tried the MinGW-5.0.3.exe in Wine, but it tries to install
> >> from some wrong url and it fails to install.
> >> I have unpacked the tarballs by hand into "~/.wine/drive_c/MinGW":
> >> binutils-2.17.50-20070129-1.tar.gz
> >> w32api-3.7.tar.gz
> >> gcc-g77-3.4.5-20051220-1.tar.gz
> >> gcc-g++-3.4.5-20051220-1.tar.gz
> >> gcc-core-3.4.5-20051220-1.tar.gz
> >> mingw-runtime-3.10.tar.gz
> >> also in the same directory, I had to do:
> >> cp ../windows/system32/msvcr90.dll lib/
> > I think that's your problem right there. You should not need to do
> > that, and doing so will likely result in having multiple copies of the
> > DLL in your process (you can confirm with process dependency walker).
> > This should be avoided at all cost, as the python C API is not
> > designed to deal with this, and your crashes are pretty typical of
> > what happens in those cases.
> Ah, that could be it.
> David, what version of binutils do you use?
> I use 2.17.50 (https://github.com/certik/numpy-vendor)
> and maybe that's the problem, that the objdump from there
> can't read the msvcr library.
> I use gcc 3.4.5. What exact version do you use in wine?
I have gcc 3.4.5 and binutils 2.20. I'll send you a tar file with all the
binaries off-list. Apologies in advance for clogging your inbox.
> I always do rm -rf .wine and install things from scratch. Here is my
> As you can see, it removes .wine and then installs things automatically.
> This exact setup fails to build the msvcr library, and I have to copy
> it manually on the line 51.
> Ralf, David, I really appreciate your help --- I think I am very close to
> having a working environment, but so far I didn't manage to install
> numpy and pass all tests yet, so that's why I don't know what is normal
> and what is not. Once I can reproduce the build at least once,
> things will go much faster from there.
> NumPy-Discussion mailing list
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