platform-independent means of compiling programs that embed python. Since
I am really new to most all of this, please let me know if you think I am going in
the wrong direction.
First, I grabbed runFunc.c from python.org to use for testing and read the embedding
and extending document. Then, since I had read the book, "GNU Autoconf, Automake,
and Libtool", I started using it to create configure.in and appropriate Makefile.am's.
However, I haven't gotten very far with this since it requires a little more knowledge
than what I have accumulated to date. Well, I was thinking about going back and
starting to use the XChat2 autoconf stuff for Python when it dawned on me that compiling
extensions is very similar to compiling embedded programs. So, I went back to the
"Python Cookbook" which has an example of an extension, elemlist, and it pointed me
to the standard for installing extensions is to use distutils and create a fairly simple
setup.py. Since "python setup.py install" seems to be cross-platform, I created a
simple shell script from its output (using --dry-run) and used that to compile and link
runFunc. It seems that compiling and linking extensions and embedded programs
is very similar. (Please correct me if I am wrong on this.)
So, next I am now going thru the source for distutils with the hope that I can learn
how to use it to generate the compile and link commands that I need for an autoconf
setup. If it won't then I hope to create patches that will allow me to and try to get them
implemented by the distutils team if that is possible. I do know in looking at the
--dry-run stuff that at least for MacOSX 10.3, it knows everything that needs to be
done and it is much simpler than trying to work with the LINKFORSHARED variable
of sysconfig. Anyway, that it the direction that I am currently pursuing unless someone
here indicates that that is not a good path to follow.
Thanks for your help.
BTW, I installed Darwin 7.2.1 on a spare Powerbook G4 that I have and got the information
from sysconfig from it. I was pleased to find out that it installs quite easily and had
python and cvs built into it.
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