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To use this script on Cori:

• Load a Python module and activate the Conda environment used for your notebook

./c2d <notebook name>

This will generate a file called <notebook name>.tar which contains a copy of your notebook as well as other files needed to set up and run the local containerized JupyterLab server.

Move this tarball and any data you're working with to your local machine, and uncompress the files with:

tar xf <notebook name>.tar

To build (and tag) the image:

docker build . -t c2d

To run the image and start a local JupyterLab instance:

docker run --rm -it -p 8888:8888 c2d:latest

This will start a JupyterLab server in the container. In the terminal, the LabApp will display a message like

    To access the notebook, open this file in a browser:
        file:///root/.local/share/jupyter/runtime/nbserver-6-open.html
    Or copy and paste one of these URLs:
        http://(<CONTAINER ID> or 127.0.0.1):8888/?token=<token hash>

Point your browser of choice to the URL to work with the notebook in the container's JupyterLab instance.

To copy the notebook out of the container:

docker cp <CONTAINER ID>:/srv/<notebook file> .