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I'm seeing an error when running JupyterLab on the 1.0.0-beta container:
$ jupyter lab
[E 2023-10-19 19:12:48.722 ServerApp] Exception while loading config file /etc/jupyter/jupyter_server_config.py
Traceback (most recent call last):
File "/opt/conda/lib/python3.10/site-packages/traitlets/config/application.py", line 915, in _load_config_files
config = loader.load_config()
File "/opt/conda/lib/python3.10/site-packages/traitlets/config/loader.py", line 627, in load_config
self._read_file_as_dict()
File "/opt/conda/lib/python3.10/site-packages/traitlets/config/loader.py", line 660, in _read_file_as_dict
exec(compile(f.read(), conf_filename, "exec"), namespace, namespace) # noqa
File "/etc/jupyter/jupyter_server_config.py", line 4, in <module>
from nb_conda_kernels import CondaKernelSpecManager
ModuleNotFoundError: No module named 'nb_conda_kernels'
...
The server is still able to start, and extensions still appear to be getting loaded & initialized correctly.
I believe this error is due to changes to the default JL config in #76. The default Conda base environment in the image does not have nb_conda_kernels installed. It's also unclear how this dependency is being used, and whether it should be used at all, given that the package has not been updated in nearly 3 years.
The text was updated successfully, but these errors were encountered:
I'm seeing an error when running JupyterLab on the 1.0.0-beta container:
The server is still able to start, and extensions still appear to be getting loaded & initialized correctly.
I believe this error is due to changes to the default JL config in #76. The default Conda base environment in the image does not have
nb_conda_kernels
installed. It's also unclear how this dependency is being used, and whether it should be used at all, given that the package has not been updated in nearly 3 years.The text was updated successfully, but these errors were encountered: