Lisandro Dalcin, 17.05.2010 18:55: > On 17 May 2010 13:19, Robert Bradshaw wrote: >> On May 16, 2010, at 3:47 PM, Lisandro Dalcin wrote: >>> petsc4py would also qualify, but the dependency on numpy and core >>> PETSc could make it more cumbersome. >> >> Could either of these be installed in, and run from, your home >> directory? That would make things much easier (no root/admin >> privileges required). > > Of course, they can be installed at any place. However, the idea is to > also test against multiple Python versions, right? Then numpy should > also be available across Python versions ...
Currently, we just pass tgz archives of the installed build results between build jobs. Adding a NumPy install step to that shouldn't be hard. It's used in a lot of Cython code, so it certainly qualifies as a standard dependency. If you can give me a Linux bash script that runs a cmmi build for your external libraries to install them into a suitable subdirectory, and get your code to pick it up from another subdirectory (in a different build job) afterwards (maybe using LD_LIBRARY_PATH and friends), I'll set up a Hudson build job that runs it for you. Stefan _______________________________________________ Cython-dev mailing list [email protected] http://codespeak.net/mailman/listinfo/cython-dev
