On Jan 5, 2007, at 6:01 PM, Robert Kern wrote: > belinda thom wrote: >> On Jan 5, 2007, at 5:32 PM, Sebastian Haase wrote: >> >>> Hi, >>> All I did is recompiling my (on source code file) C extension. I >>> made >>> sure that it was including the current numpy header files. >> >> Where are these files located? What command did you use? (The gorey >> details would help me quite a bit, as I'm to compile-level installs, >> having usually relied on things like macports port to do the work for >> me)... > > Actually, it's more likely to confuse the matter since Sebastian is > using a > quite nonstandard way of building Python extension modules. > > What packages do you want help with building from source? Which build > instructions have you read? What issues still remain unclear for > you after > having read them? What platforms are you concerned with?
Robert, I am running on Macs, Intels, G4s, and G5s using OS X 10.4.8. I am using MacPython 2.4.4 (whose universal installer successfully installs on both types of machines). I might consider using 2.5, but a core of some externally developed coursework doesn't run in 2.5. Currently I have kluged some disparate parts together to get a working system (by which I mean interactive matplotlib, numpy, and scipy are all working and pass their respective tests [matplotlib doesn't appear to come with a test suite, so I couldn't test that one as extensively]). I understand that Erin Sheldon has had no problems using Fink to set up this integrated configuration, but I tend to avoid Fink b/c I've heard it doesn't always play nice w/other Mac internals. Besides, I like macports. More info on my kluges can be found at: http://www.mail-archive.com/ numpy-discussion@scipy.org/msg00481.html, where Chris had mentioned the need to provide an integrated set of Mac OS X bundle(s?) to do this job. I am not in a position to do this because I don't know how to install these packages from source. Others have told me only expert users tend to foray into such an area. At the same time, if I wish to have my students set up their computers and use this development environment, I'd like it to be as easy as possible to do. There's other reasons --- mostly curiousity driven --- that motivate me to try a "rawer" (e.g. source, non-pkg based) install: 1) My current kludge only supports TkAgg, so I can't play w/the wx backend at all. Have no idea why 2) My current kludge only works w/numpy; under Numeric, matplotlib plotting dies. 3) If I used the numpy/scipy bundles from http://www.macpython.org/, I'd get the C API error Sebastian was originally talking about. I have no idea how to fix this. I have just completed installing ipython from source by running: python setup.py install in a directory from which I downloaded ipython via subversion. That was pretty painless (this is my first such install of a relatively big program, BTW). If scipy, numpy and matplotlib could be just as painlessly derived, I'd give it a try. Thanks for any comments, --b _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
