On Fri, Aug 5, 2011 at 5:37 PM, Sandro Tosi <[email protected]> wrote:
> Hello, > > On Sat, Jul 16, 2011 at 22:45, Bruce Southey <[email protected]> wrote: > > On Sat, Jul 16, 2011 at 4:34 AM, Sandro Tosi <[email protected]> wrote: > >> Hello, > >> while preparing a test upload for 1.6.1rc3 in Debian, I noticed that > >> it gets an error when building blas with python 2.7 in the debug > >> flavor, the build log is at [1]. It's also been confirmed it fails > >> also with 1.5.1 [2] > >> > >> [1] > http://people.debian.org/~morph/python-numpy_1.6.1~rc3-1_amd64.build > >> [2] http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=634012 > >> > >> I think it might be a toolchain change in Debian (since 1.5.1 was > >> built successfully and now it fails), but could you please give me a > >> hand in debugging the issue? > >> > >> Thanks in advance, > >> -- > >> Sandro Tosi (aka morph, morpheus, matrixhasu) > >> My website: http://matrixhasu.altervista.org/ > >> Me at Debian: http://wiki.debian.org/SandroTosi > >> _______________________________________________ > >> NumPy-Discussion mailing list > >> [email protected] > >> http://mail.scipy.org/mailman/listinfo/numpy-discussion > >> > > Hi, > > What do you mean by 'python2.7 debug'? > > > > Numpy 1.6.1rc's and earlier build and install with Python 2.7 build in > > debug mode ($ ./configure --with-pydebug > > ) on 64-bit Fedora 14 and 15. But, if I can follow you build process > > (should be the plain 'python setup.py build' to be useful) I think > > numpy is not finding the correct blas/lapack/atlas libraries so either > > you may need a site.cfg for that system or install those in the Linux > > standard locations such as /usr/lib64. > > > > You should probably try building without blas, lapack and atlas etc.: > > BLAS=None LAPACK=None ATLAS=None python setup.py build > > It's not a matter of not finding the headers: the same build process > succeeds if run using gfortran-4.5 while fails if run with > gfortran-4.6 , it's likely that gcc is more strict now and something > needs to be adapted in numpy. > > Has someone successfully built numpy with gcc 4.6 ? > > Yes, all the time ;) gcc version 4.6.0 20110603 (Red Hat 4.6.0-10) (GCC) Chuck
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