Would two brand new .cpp files abusing of #include do the trick? For example, for '_CCG_dmodule': //file: CCG_dmodule.cxx #define USE_DOUBLE 1 #include "CCG_caller.cpp" #include "ccg_funct.cpp" #include "ccg.cpp" #include "CCG_d_wrap.cxx" Then you can use: ext_ccg_d = Extension('_CCG_dmodule', ['Priithon_25_C/ccg/CCG_dmodule.cxx'], depends=[ <add here the sources #include'd in CCG_dmodule.cxx>] An similarly for '_CCG_smodule', you got the idea... I know, this is a vile workaround, but trust me... you do not want to learn to hack distutils internals :-)... On Tue, Jul 28, 2009 at 9:15 AM, Sebastian Haase<seb.haase@gmail.com> wrote:

Hi,

maybe someone here could help me by using distutils: my problem is that I have some C++ files that I need to get compiled twice, first to make a "singleFloat"-module using  gcc -DUSE_DOUBLE=0 and then to make the "doubleFloat"-module using  gcc -DUSE_DOUBLE=1.

Apparently distutils recognises (like "make") that the object files are already there and skips the gcc for the second run. My setup.py so far is something like this: ext_ccg_s = Extension('_CCG_smodule', [        'Priithon_25_C/ccg/CCG_caller.cpp',        'Priithon_25_C/ccg/ccg_funct.cpp',        'Priithon_25_C/ccg/ccg.cpp',        'Priithon_25_C/ccg/CCG_s_wrap.cxx',        ],                      define_macros=[('USE_DOUBLE', '0'),], ) ext_ccg_d = Extension('_CCG_dmodule', [        'Priithon_25_C/ccg/CCG_caller.cpp',        'Priithon_25_C/ccg/ccg_funct.cpp',        'Priithon_25_C/ccg/ccg.cpp',        'Priithon_25_C/ccg/CCG_d_wrap.cxx',        ],                      define_macros=[('USE_DOUBLE', '1'),], ) setup(...      ext_package='Priithon_bin',      ext_modules=[ext_ccg_s, ext_ccg_d],     )

Thanks for any help,

-- Sebastian Haase _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion

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