Dear all - thanks for your help on this matter! In the end, I was unable to
resolve the conflict, so I've gone for a different approach where
Cellmodeller and FEniCS run in separate conda environments. Seems to work
fine!

Thanks again,

W

Dr. William P J Smith
_____________________________________________
Postdoctoral researcher, Foster lab, University of Oxford


On Fri, Jan 25, 2019 at 4:16 PM Andreas Kloeckner <li...@informa.tiker.net>
wrote:

> Jerome Kieffer <jerome.kief...@esrf.fr> writes:
>
> > On Fri, 25 Jan 2019 10:00:45 +0000
> > William Smith <willpjsm...@gmail.com> wrote:
> >
> >> My colleagues and I use PyOpenCL as part of an cell-based modelling
> program
> >> (Tim Rudge's CellModeller, here <
> http://haselofflab.github.io/CellModeller/>
> >> ).
> >>
> >> We would like to use CellModeller alongside a PDE Solver (FEniCS
> >> <https://fenicsproject.org/>), whose NumPy requirements (>=1.13)
> conflict
> >> with those of PyOpenCL (1.9). Is it possible to make PyOpenCL compatible
> >> with later NumPy versions?
> >>
> >> Here's the conflict in my conda environment:
> >>
> >
> > I guess the conflict is related to the conda packaging (poorly done?).
>
> Hmm, same here. I can't reproduce any part of this. I run CI jobs
> involving PyOpenCL and new(-ish?) versions of numpy (>=1.15) all the
> time:
>
> One installed from source:
> https://gitlab.tiker.net/inducer/pytential/-/jobs/71311
>
> One installed from conda:
> https://gitlab.tiker.net/inducer/pytential/-/jobs/71321
>
> No issues whatsoever on my end. Are you updating an old (maybe
> Py3.5-only?) conda tree? What happens if you update your Python (inside
> the conda env)?
>
> Andreas
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