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Simplify image vastly, get rid of R #54
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Following suggestion from Jupyter-contrib/jupyter_nbextensions_configurator#153 that we need to explicilty enable the configurator. nbclassic also has hit 1.0, which might help. Ref 2i2c-org/infrastructure#2380
- Inherit from jupyter/scipy-notebook, so we can reuse all the work in terms of setting up jupyterhub, conda, base scientific packages, etc. In particular, this should also load the env variables set by conda packages (like pyproject), solving 2i2c-org/infrastructure#2479 - Install only extra packages we want on top, prefering conda wherever possible. Bump up versions to latest. - Get rid of everything R related, as those must move to the R hub. Fixes 2i2c-org/infrastructure#2479 Ref 2i2c-org/infrastructure#2583 to reduce complexity of our images.
There is a building failure:
|
These were on PyPI but not conda-forge
Current problem:
But idk what package actually requires |
Let's debug who needs libre2 with the upper bound pin
Seems to error out
Maybe this fixes it
Let's see if this helps
This builds if I get rid of conda-forge/rise-feedstock#43 is causing RISE to fail to install from conda-forge as well. |
Merging so we can deploy to staging and test. |
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Dec 21, 2023
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work in terms of setting up jupyterhub, conda, base scientific
packages, etc. In particular, this should also load the env
variables set by conda packages (like pyproject), solving
PENDING END OF SEMESTER: Update utoronto image for geopandas, pyproj, PROJ_LIB/PROJ_DATA environment variables on build infrastructure#2479
possible. Bump up versions to latest.
Fixes 2i2c-org/infrastructure#2479
Ref 2i2c-org/infrastructure#2583 to
reduce complexity of our images.