This could be an issue with pip indeed. I believe this problem could be
workaround if pyopencl provided binaries (wheels) in PyPI.
A related issue is that running `pip install -r requirements.txt` on a file
with the following dependencies:
# requirements.txt
numpy==1.16.0
pyopencl==2018.2.2
will fail, which can be confusing.
On Thu, Jan 24, 2019 at 3:43 PM Santiago Torres-Arias <
santi...@archlinux.org> wrote:
> Hi,
>
> I'm not entirely familiar with this situation but yes, I've seen
> this bug appear in other libraries such as scikit-* and I think it's
> mostly related to the way pip handles dependencies (i.e,. they are not
> marked as installed as the whole transaction is done, which won't happen
> because well, pyopencl will fail because numpy is not installed).
>
> Cheers!
> -Santiago.
>
> On Thu, Jan 24, 2019 at 03:05:19PM -0200, Goncalo Morgado wrote:
> > Hey hey :)
> >
> > I am fairly new with pyopencl. Still getting the grip of it...
> >
> > Although the docs suggest installing pyopencl with conda I have been
> using
> > pip, which seems to work quite well, apart from an issue with
> dependencies.
> > pip install pyopencl on a freshly created virtual environment will
> complain
> > about missing numpy and warn about missing pybind11 and mako.
> >
> > Regarding numpy, and if I understand correctly, some effort has been put
> (
> > https://github.com/inducer/pyopencl/blob/master/aksetup_helper.py#L69)
> to
> > fix the issue with the class "ExtensionUsingNumpy" as opposed to
> > "NumpyExtension".
> > I gave it a try with the latest version in the github repo, and `pip
> > install .`, but it still complains about missing numpy.
> > Should I install dependencies manually beforehand? Shouldn't this be
> > handled in setup.py with setup_requires=[] and install_requires=[]?
> > From a user perspective it makes a lot of sense to just run `pip install
> > pyopencl` and have all dependencies installed, similar to what happens
> when
> > we install scipy or matplotlib.
> >
> > Thanks in advance,
> > Goncalo
>
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>
>
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