Apologies for jumping in, do you have an example of a project (link to repo) that depends on pyopencl and that is distributed through PyPI (uses setuptools/setup.py), that I could look at? Having to manually install numpy, pybind11 and mako is a bit of a problem. With pipenv Pipfile.lock I am able to install everything elegantly, but I have the problem of putting it in a setup.py... That would help me a lot.
Many thanks, Gonçalo On Fri, Jan 25, 2019 at 9:27 AM Jerome Kieffer <jerome.kief...@esrf.fr> wrote: > 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?). > > We have no issue to deploy continuous integration of pyopencl 2018.2.2 > with numpy 1.16: > > https://travis-ci.org/silx-kit/pyFAI/jobs/484293593 > > As mentioned in a recent thread, numpy, pybind11 and mako have to be > installed beforehand. > > Cheers, > -- > Jérôme Kieffer > _______________________________________________ > PyOpenCL mailing list -- pyopencl@tiker.net > To unsubscribe send an email to pyopencl-le...@tiker.net >
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