Hey all, We started to try and compile the numpy module on an embedded PowerPC Xilinx board with no luck. This is one of the errors I get when I try to build the module on-board. It is due to the fact that the compiler is located in a different location than the original compiler for python (i think). I made symbolic links to fix the first error. The second more critical error that I cannot recover from is the "Error: Unrecognized opcode: `fldenv'". There are many more duplicates of this error, but it occurs when the "umathmodule.c" is being compiled.
I have tried changing the CFLAGS multiple times with no luck. Python was compiled with uclibc libraries, so could this be the problem? Is there any way we could compile Python and numpy together in one step? I am using Binutils 2.17, GCC 3.4.6, and Python 2.5. Again, python was compiled with uclibc, not the standard libraries. We require the FFT module for a project that is due in about a week. Any help would be appreciated. -David Shepherd C compiler: /opt/automated-build/buildroot/build_powerpc/staging_dir/bin/powerpc -linux-uclibc-gcc -DNDEBUG -Os -pipe -fPIC compile options: '-I/usr/include/python2.5 -Inumpy/core/src -Inumpy/core/include -I/usr/include/python2.5 -c' powerpc-linux-uclibc-gcc: _configtest.c sh: /opt/automated-build/buildroot/build_powerpc/staging_dir/bin/powerpc-linux-u clibc-gcc: not found sh: /opt/automated-build/buildroot/build_powerpc/staging_dir/bin/powerpc-linux-u clibc-gcc: not found failure. I made symbolic links to fix the above errors, but then I also get multiple assembler opcode errors when it tries to run the entry build: powerpc-linux-gcc -DNDEBUG -g -O3 -Wall -Wstrict-prototypes -fPIC -Ibuild/src.linux-ppc-2.5/numpy/core/src -Inumpy/core/include -Ibuild/src.linux-ppc-2.5/numpy/core -Inumpy/core/src -Inumpy/core/include -I/root/python/include/python2.5 -c build/src.linux-ppc-2.5/numpy/core/src/umathmodule.c -o build/temp.linux-ppc-2.5/build/src.linux-ppc-2.5/numpy/core/src/umathmodule.o . . . . Error: Unrecognized opcode: `fldenv' . . . _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
