2008/9/24 Jaime Huerta Cepas <[EMAIL PROTECTED]>: > Hi all, > > I have developed a set python libraries that provide several scientific > methods to analyse and visualize certain type of biological data. This > libraries are based on many external python modules, such as python-mysql > python-sip or python-qt4. I use GNU/linux to develop my tools and I found no > problems into installing all dependencies, however it does not seem to be > that easy on MacOS. I am sure that all the dependencies (qt4, pyqt4 , > mysqldb, scipy, numpy) are cross platform, but when you are trying to > publish your tool in an academic journal, most referees (many of them using > MacOS) expect some kind of straightforward installation process for the > tool. > > I wonder if there would be a way in which I could compile all the > dependencies and libraries in a MacOs system and then building a static > universal binary that I can distribute. I guess it should be possible, but > I am not sure how difficult it might be, and whether all dependencies (qt4 > is huge) can be packaged together.
IMHO this is too complex to commit. Macport is a way to do what you want, but packages may not be up to date enough. Maybe the easiest and simplest way for you to do this is to write a script that will download, compile and install everything. The script should work like: sudo all_in_one_script.py and then wait for jobs to be done. Your script will need to know if a package was sucessfully installed and then continue or take steps and say it. For a complex set of dependencies, I recommend you to write Makefiles. For instance, in pseudo-code: if /usr/local/lib/libfoo.dylib doesn't exist download foo install foo if python-module foo doesn't exist download foo python foo/setup.py install etc HTH Mathieu -- http://mail.python.org/mailman/listinfo/python-list
