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Jupyterlab debug
Jupyterlab debug






jupyterlab debug

$ /opt/conda/share/jupyter/lab/staging/node_modules/.bin/yarn-deduplicate -s fewer -fail > node /opt/conda/lib/python3.9/site-packages/jupyterlab/staging/yarn.js yarn-deduplicate -s fewer -fail

Jupyterlab debug install#

> node /opt/conda/lib/python3.9/site-packages/jupyterlab/staging/yarn.js install -non-interactive Printing the logs shows: cat /tmp/jupyterlab-debug-dk5alq3x.log See the log file for details: /tmp/jupyterlab-debug-dk5alq3x.log

jupyterlab debug

Intensive, so turning it off may help the build finish successfully in However, the minifier plugin used by Webpack is very memory `minimize`: This option controls whether your JS bundle is minifiedĭuring the Webpack build, which helps to improve JupyterLab's overall Installed from local files, this option will instead default to `True`.Įxplicitly setting `dev-build` to `False` will ensure that the `production` This option will default to `False` (i.e., the `dev-build`: This option controls whether a `dev` or a more streamlined The config directories can be listed by running: If you don't already have a `jupyter_config.py` file, you can create one byĪdding a blank file of that name to any of the Jupyter config directories. Lines to a Jupyter config file named `jupyter_config.py`:

jupyterlab debug

You can also disable these options for all JupyterLab builds by adding these Jupyter lab build -dev-build=False -minimize=False If you are building via the `jupyter lab build` command, you can disable May be able to fix it by disabling the `dev_build` and/or `minimize` options. Troubleshooting: If the build failed due to an out-of-memory error, you Building jupyterlab assets (production, minimized) Building in /opt/conda/share/jupyter/lab When I select to install the extension and trigger a rebuild (required apparently), the rebuild fails, and suggests to run it manually with jupyter lab build. The JupyterHub app allows you to install extensions, such as jupyterlab-git.








Jupyterlab debug