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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