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containers's Issues

Provide some basic tools (in cpp but probably others too)

I think those software are useful in bash scripts and could be included in the VMs:

  • bc (so one can play with grading in floating points)
  • killall (kill processes without playing with pids around)
  • find (find some patterns in the student code)
  • expect (limit pipe problems)

Not sure about the procedure... But thanks for considering this :)

How to write run scripts for these Dockers?

I use the htmlcss Container to validate HTML and CSS Code.

Is there a way to check per Script if the HTML File was errorless?

My run file:

#!/bin/bash

getinput theproblem > student/student.html
output=$(java -jar /opt/vnu/vnu.jar student/student.html)

if [ -z "$output" ]; then
feedback-result success
else
feedback-result failed
feedback-msg -em "Bruh : $output"
fi

The problem is that this line seems to not return anything.
output=$(java -jar /opt/vnu/vnu.jar student/student.html)

What am I doing wrong?

Every help is appreciated. Thanks in advance!

ngspice container build fails

#0 41.03 --2023-03-16 22:01:44--  https://archive.fedoraproject.org/pub/fedora/linux/releases/35/Everything/source/tree/Packages/i/itcl-4.1.1-5.fc35.src.rpm
#0 41.12 Resolving archive.fedoraproject.org (archive.fedoraproject.org)... 38.145.60.24, 38.145.60.23, 38.145.60.22
#0 41.12 Connecting to archive.fedoraproject.org (archive.fedoraproject.org)|38.145.60.24|:443... connected.
#0 41.43 HTTP request sent, awaiting response... 404 Not Found
#0 41.60 2023-03-16 22:01:45 ERROR 404: Not Found.

Containers not found after inginious docker-agent update

After having updated my inginious instance last week, all codings problems where crashing because of "unavailable environment".
After some research, I believe this is related to the commit on INGInious issue #435 [UCL-INGI/INGInious/pull/435] : The label org.inginious.grading.agent_version is missing on the INGInious-containers and so they are not recognised by the inginious docker-agent anymore.

Manually adding the label to the dockerfile of my grading environment solved the issue in my case, but it would be nice to update the official docker images accordingly.

[deprecation] sklearn is deprecated in python

#7 189.6   
#7 189.6   × Getting requirements to build wheel did not run successfully.
#7 189.6   │ exit code: 1
#7 189.6   ╰─> [18 lines of output]
#7 189.6       The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
#7 189.6       rather than 'sklearn' for pip commands.

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