Hi,
this sounds all reasonable to me, and as mostly a lurker on this list my
input shouldn't carry too much weight anyway.
I wanted to point out one thing: Docker does continue to offer free
access for Open Source projects, it's just that they restructured the
way of how to do this. So if there is still value in Docker, an
application to the Docker-Sponsored Open Source tier should certainly
fit Numpy. A bit more information is at
https://www.docker.com/blog/we-apologize-we-did-a-terrible-job-announcing-the-end-of-docker-free-teams/
Cheers
Klaus
On 20/03/2023 22:09, Ralf Gommers wrote:
Hi all,
We received a notification from Docker that there Free Team organization
no longer exists, and that we have until April 14 to upgrade to a paid
tier. We only use Docker to support Gitpod. Gitpod builds have been
broken in main for quite a while (see
https://github.com/numpy/numpy/actions/workflows/gitpod.yml
<https://github.com/numpy/numpy/actions/workflows/gitpod.yml>). Since
it's a cron job that doesn't show up on PRs, but I get the notifications.
Overall, Gitpod has been useful during some sprints, but it has proven
to be too much maintenance effort. Maintaining a Docker team, CI jobs
for building 2 Docker images, and a nontrivial amount of code and docs
is no longer a good tradeoff.
Here is what we have related to Gitpod:
https://github.com/numpy/numpy/tree/main/tools/gitpod
<https://github.com/numpy/numpy/tree/main/tools/gitpod>
https://github.com/numpy/numpy/blob/main/.github/workflows/docker.yml
<https://github.com/numpy/numpy/blob/main/.github/workflows/docker.yml>
https://github.com/numpy/numpy/blob/main/.github/workflows/gitpod.yml
<https://github.com/numpy/numpy/blob/main/.github/workflows/gitpod.yml>
https://github.com/numpy/numpy/blob/main/doc/source/dev/development_gitpod.rst
<https://github.com/numpy/numpy/blob/main/doc/source/dev/development_gitpod.rst>
https://hub.docker.com/u/numpy <https://hub.docker.com/u/numpy>
We have a reasonable alternative, which is GitHub Codespaces. All it
currently requires is ~lines of simple to understand code
(https://github.com/numpy/numpy/tree/main/.devcontainer
<https://github.com/numpy/numpy/tree/main/.devcontainer>) and no CI
jobs. We have one tracking issue for feedback in case you try it and
find gaps: https://github.com/numpy/numpy/issues/23134
<https://github.com/numpy/numpy/issues/23134>. It doesn't pre-build
NumPy locally, but that's only 1-2 minutes of wait time and is something
a new contributor anyway has to learn about. The dev environment is
reproducible, so this isn't much of a hurdle. We need replacement docs
for that, but they can be much simpler I'd say. It's basically "go to
https://github.com/codespaces/ <https://github.com/codespaces/>, hit the
green button, and select the numpy repo, then it'll drop you into a
VSCode IDE with a ready to go dev env".
So my proposal is to drop all the Docker Hub and Gitpod related code and
docs. I have already discussed this with Tania Allard, who did most of
the heavy lifting on the initial creation of the Gitpod machinery (for
SciPy, which was then synced to NumPy).
Thoughts?
Cheers,
Ralf
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