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[BUG] - nodejs pinned in python-3.10 image #1990
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Hi @rokroskar. Unfortunately, this is not the currently used python version in our images, so the image On the other hand, you can easily fix this issue on your own:
Please, tell me if this helps. |
Second options seems to work fine for me. |
Hi @mathbunnyru thanks for the quick response - sure, I can do that. I was also more wondering if the fact that this pin is now gone is reverting the fix to #1901 |
I reverted the fix, because correct nodejs version was being installed by default so we no longer needed this fix. |
Not sure how your image management works, but it seems that if this is causing unnecessary issues, an update to that tag could be pushed. I understand that's a potential can of worms though. |
Well, we could in theory temporarily switch to building python-3.10 image. It's by design we only support one set of images at a given time and try to move forward. Otherwise, tagging and building becomes really messy and time-consuming. I see this to be a minor issue and easily fixable, so I don't think we will make an exception in this case, I hope you understand. That being sad, I think I can close this issue, because I provided two solutions to the problem and we can't really fix old images (tags). |
Yep, that makes sense, thanks! |
see jupyter/docker-stacks#1990 for details
see jupyter/docker-stacks#1990 for details
What docker image(s) are you using?
base-notebook
Host OS system
Ubuntu:22, Mac arm64
Host architecture
x86_64
What Docker command are you running?
How to Reproduce the problem?
see above
Command output
No response
Expected behavior
Only see the python version pinned
Actual behavior
jupyter/base-notebook:python-3.10
image has the following pinned in/opt/conda/conda-meta/pinned
:Anything else?
This seems to be the only image version where nodejs is pinned - if I repeat the same with
latest
,python-3.8
,python-3.9
only the python version is pinned. This is causing problems trying to install additional packages that have different nodejs requirements.So, the question is whether this pinned version is required? It seems to potentially be related to #1902
Latest Docker version
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