Comments (3)
jakirkham
commented on August 14, 2024
This may be totally orthogonal, but we have octave and octave_kernel packages in conda-forge. This might lessen some of the maintenance burden for such an image by allowing one to just use conda to install them. Not sure what else one might need to do beyond that to get up and running.
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agahkarakuzu
commented on August 14, 2024
This was the first attempt that I made, using octave and octave_kernel alone (I did not use conda to install). Then this 8bit vs 16bit problem showed up; which basically makes it impossible to display images with an intensity range over 8bits. There was also some problems with displaying graphics. This might be because of the OS on which base image that I fetch is built. It was Debian Jessie, but now it is Ubuntu 16.04.3, as I checked from the terminal via cat/etc/issue. On the other hand, I am not sure if this shows the OS of the Binder server or that of the base image.
If the conda option will make it more lightweight without sacrificing any functionality under these circumstances, of course I'd side with it. You can visit one of my notebooks: https://rebrand.ly/dogSC
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jakirkham
commented on August 14, 2024
Sorry I don't know offhand what bug you are referring to. That said, if there are issue with either of these packages, it is pretty easy to report them on the feedstocks' (repos') issues trackers as needed.
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Related Issues (20)
- unable to get jupyterhub/singleuser-builder-venv-3.5:v0.2.1 HOT 21
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