Closed ndjones closed 2 years ago
I'm facing the same issue ... I tried to create many different conda environments with different versions of Python and Jupyterlab, but I couldn't found a combination that works for jupyterlab_slurm :(
I'm listing here just one, with the most current versions, for reproducibility investigation ...
conda create --name jupyterlabslurm python=3.8.5 jupyterlab=2.2.6 nodejs=10.13.0
conda activate jupyterlabslurm
pip install jupyterlab_slurm
jupyter labextension install jupyterlab-slurm
My output is "the same":
An error occurred.
ValueError: The extension "jupyterlab-slurm" does not yet support the current version of JupyterLab
Conflicting Dependencies:
JupyterLab Extension Package
>=2.1.2 <2.2.0 >=1.0.0 <2.0.0 @jupyterlab/application
>=2.1.1 <2.2.0 >=1.0.0 <2.0.0 @jupyterlab/apputils
>=4.1.0 <4.2.0 >=3.0.0 <4.0.0 @jupyterlab/coreutils
>=2.1.2 <2.2.0 >=1.0.0 <2.0.0 @jupyterlab/filebrowser
>=2.1.1 <2.2.0 >=1.0.0 <2.0.0 @jupyterlab/launcher
>=16.9.0 <16.10.0 >=16.8.4 <16.9.0 react
>=16.9.0 <16.10.0 >=16.8.4 <16.9.0 react-dom
See the log file for details: /tmp/jupyterlab-debug-fh72_0r5.log
The log files do not provide many clues of the issue ... I can only confirm there that it is trying to install the version 1.0.3 from jupyterlab-slurm.
The same happens changing the conda command to use jupyterlab versions 2.2.4, 2.1.5 or 2.0.2 (in this last case from conda-forge channel).
I'm using a RHEL 7.7 as OS ...
Can anyone confirm a version of jupyterlab that is known to work the extension?
Thanks
For what it's worth, I found that JupyterLab version 2.1.2 works with the extension.
we're in the process of moving to version 3.x of Jupyter, with the same issue - it looks like dependencies support at most v2.1.2 https://github.com/NERSC/jupyterlab-slurm/blob/871c1dba18946aa884fcf382145719f71b4c59d5/package.json
The extension currently supports JupyterLab 3.x. I'm closing this issue for v2, but if you have problems with v3 let us know.
Hi, I'm trying to install the extension as follows though it looks like it might not work with the current version 2.x of JupyterLab. Happy to be told this isn't on the roadmap and for this to be closed if so. cheers.