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Upgrade kubeflow container base image #2014
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it then breaks on the pinned version list
Removing the pins lets the build continue further. {Further examination, only lxml needs to be unpinned. Others can be stay pinned for now.} The build then fails at
The pins were removed and it was retested, but the failure remained. |
Add nodejs to build as it is required by jupyterlab, and is no longer in the base image. error:
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fix for tensorflow image: Upgrade CUDA code with the parts from https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/12.3.2/ubuntu2204 |
fix for rstudio: change |
Fix testing error for jupyterhub-singleuser, |
Two packages still being flagged are formatted irregularly
The first can be fixed by splitting on The second is already in the exclude, but it has an extra equals sign since last time
Note that the names are being parsed incorrectly by the interoperator, and are harder to manage as a result.
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PR: StatCan/aaw-kubeflow-containers#750
current base image is
quay.io/jupyter/datascience-notebook:2024-06-17
An attempt was made to upgrade to
quay.io/jupyter/datascience-notebook:2025-01-06
This was originally done to attempt to fix #2013 by using mamba 2.0, found in the newer base image.
Looking at the jupyter docker docs, there was an upgrade of Ubuntu to 24.04
The build fails in a couple places.
glibc
found in newer Ubuntu, and old version has a vulnerability. See OpenM++: web service API and UI no longer working #2016 and roll back OpenM++ version aaw-kubeflow-containers#744Changes in the base image
2024-06-17 -> 2025-02-18
Ubuntu:
22.0424.04Mamba:
1.5.82.0.5Conda:
24.5.025.1.1R-Studio: 4.3.3
Python:
3.11.93.12.9The text was updated successfully, but these errors were encountered: