Hey William,
Thanks, I will take a look.
But please note that in order to have your dist package in PyPI you have to
generate an archive:
$ python sdist bdist_wheel # this generates both software dist and
binary dist packages
and push it with twine:
$ twine upload --repository-url https://test.pypi.org/legacy/ dist/* #
test.pypi is for testing purposes, but you can use the official when you're
happy
I haven't looked at your code, but I wonder if you're following these steps.
(I hope we are not going off-topic)
Cheers,
Gonçalo
On Fri, Jan 25, 2019 at 12:02 PM William Smith <willpjsm...@gmail.com>
wrote:
> Hi Gonçalo,
>
> Not at all, thanks for your interest!
> Maybe I can provide that example - here's the link the CellModeller code
> on GitHub. <https://github.com/HaseloffLab/CellModeller/>
> Here you can find the setup.py script, which does indeed use the
> setuptools package.
> However, I couldn't find CellModeller listed on the PyPI repo
> <https://pypi.org/>?
>
> What do you think?
>
> W
>
> Dr. William P J Smith
> _____________________________________________
> Postdoctoral researcher, Foster lab, University of Oxford
>
>
> On Fri, Jan 25, 2019 at 12:46 PM Goncalo Morgado <goncalo.ma...@gmail.com>
> wrote:
>
>>
>> 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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>>
>
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