Hello. I build PolyML with libgmp on FreeBSD by help env CFLAGS=-I/usr/local/include LDFLAGS=-L/usr/local/lib ./configure --with-gmp && make
If my c compiler is clang, I remove AC_CHECK_LIB(stdc++, main) from configure.ac and run autoreconf -fi before configure 2018-02-10 0:06 GMT+02:00 Makarius <makar...@sketis.net>: > Dear Poly/ML enthusiasts and experts of the gcc toolchain on macOS, > > building Poly/ML with libgmp has always been a challenge, but I have now > managed as follows for x86_64-darwin. > > The approach works as follows: > > (1) Build libgmp from sources. > (2) Build Poly/ML --with-gmp using that homemade version. > (3) Copy libgmp.10.dylib into the Poly/ML lib directory and adjust > locations with install_name_tool > > Afterwards it is possible to copy the resulting Poly/ML target directory > to a different location on a different machine, with a different (newer) > macOS version. > > The details are in the included build.txt (e.g. for macOS 10.12 Sierra). > This is not a shell script! It should be run carefully line-by-line. > Towards the end there are two install_name_tool invocations with > locations determined beforehand by "otool -L". The final "otool -L" is > just a sanity check, the result is like this: > > target/bin/poly: > @executable_path/../lib/libpolyml.9.dylib (compatibility version > 10.0.0, current version 10.0.0) > @executable_path/../lib/libgmp.10.dylib (compatibility version 14.0.0, > current version 14.2.0) > /usr/lib/libc++.1.dylib (compatibility version 1.0.0, current version > 307.4.0) > /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current > version 1238.0.0) > > > This setup is already part of "isabelle build_polyml", see > http://isabelle.in.tum.de/repos/isabelle/file/8b19a8a7f029/src/Pure/Admin/build_polyml.scala > -- but that assumes that libgmp has been installed in a standard place > (e.g. /usr/local/lib). > > > I wonder if anybody has managed to build libgmp for x86-darwin (32bit) > platform. That platform variant still provides better performance for > big applications like Isabelle, because it requires only half the memory. > > > Makarius > > _______________________________________________ > polyml mailing list > polyml@inf.ed.ac.uk > http://lists.inf.ed.ac.uk/mailman/listinfo/polyml _______________________________________________ polyml mailing list polyml@inf.ed.ac.uk http://lists.inf.ed.ac.uk/mailman/listinfo/polyml
