On some 64-bit platforms, which include, but is not limited to:
* Some version of OS X (I don't know what versions or processors)
* Solaris on SPARC processors.
* Solaris on x86 processors.
* OpenSolaris on SPARC processors.
* OpenSolaris on x86 processors.
* HP-UX on PA-RISC processors.
the default is to build 32-bit objects, but 64-bit objects can be created if
needed. This is usually done via adding the -m64 flag when compiling with GCC or
SunStudio, though the flag will be different with HP's compiler.
Numpy is used as part of Sage, but it would appear that adding -m64 to CFLAGS
will not work. A comment in the script used to build numpy shows:
# numpy's distutils is buggy and runs a conftest without
# taking CFLAGS into account. With 64 bit OSX this results
# in *boom*
it then goes on to copy a file called gcc_fake, which is basically a script
which gets renamed to gcc, but includes the -m64 flag.
We are using numpy-1.3.0.
Is this a known bug? If not, can I submit it to a bug database? Better still,
does anyone have a patch to resolve it - I hate the idea of making
I've now changed the build method in Sage so it does not only work on OS X, and
does not hard-code the path to gcc. I have:
if [ "x$SAGE64" = xyes ]; then
echo "Building a 64-bit version of numpy"
# HACK ALERT
# HACK ALERT
# HACK ALERT
echo "HACK ALERT - HACK ALERT - HACK ALERT"
echo "HACK ALERT - HACK ALERT - HACK ALERT"
echo "HACK ALERT - HACK ALERT - HACK ALERT"
echo "Creating a sort of fake gcc, which has the -m64 flag"
echo "#!/usr/bin/env bash" > $SAGE_LOCAL/bin/gcc
echo "`command -v gcc` -m64 \$@" >> $SAGE_LOCAL/bin/gcc
chmod 755 $SAGE_LOCAL/bin/gcc
fi
This this file $SAGE_LOCAL/bin/gcc is used to build just numpy. After that, we
can remove it
if [ "x$SAGE64" = xyes ]; then
echo "deleting fake gcc"
rm $SAGE_LOCAL/bin/gcc
fi
and let the normal gcc program be used with an appropriate setting of CFLAGS to
make other packages build 64-bit.
I know this issue has been known in Sage for a long time (years) but I don't
know if it was ever reported to the Numpy mailing list or added to any bug database
Dave
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