Robert Kern wrote: >> the triangulation. Yes, it would use the existing delaunay code by >> default, and hopefully optionally use the not-as-good-a-license code the >> Robert Kern put in SciPy. > > I did what now?
I thought you'd put a wrapper of a delaunay code that is GPL'd or something (not BSD compatible anyway) into a scikit or something? optional -- so it doesn't screw up licensing for those that don't want it. Anyway, the point is, for any code that might be put into MPL, we want a properly licensed compatible default, but ideally with the option of easily plug in in other, better, delaunay code that may not be license compatible. Now that I've written this, I really should go and look and see if I remember correctly: I've found this: http://scikits.appspot.com/delaunay Though I see no reference to license in there, so I presume it's under the same license as scipy. So I guess I was thinking of the natgrid toolkit, which I guess is not Robert's work, and is a substitute for nn interpolation, not triangulation. Sorry for writing too quickly. While I've got your attention, though -- I suspect you have looked for license compatible delaunay code and the stuff in the scikits package is as good as it gets? Thanks, -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
