Using Docker ============ Simpler and smaller image ------------------------- Docker images are periodically updated which contain a working version of the code and examples. To use the images (available at the `E4MMA docker repository `_), you can try, for example:: sudo docker pull awsteiner/e4mma:alpha5_o930a5_u24.04_min sudo docker run --rm -p 8888:8888 -it awsteiner/e4mma:alpha5_o930a5_u24.04_min Then, inside the docker image, you can either run the code directly:: /home/np3m/e4mma/eos_nuclei -help or run the examples:: cd /home/np3m/e4mma/examples ./A_point_nuc.scr Larger image with Python support -------------------------------- If you want to include Python support (at the expense of a larger image) use a different image:: sudo docker pull awsteiner/e4mma:alpha5_ju_o930a4_u24.04 sudo docker run --rm -p 8888:8888 -it awsteiner/e4mma:alpha5_ju_o930a4_u24.04 With this image you can start a Jupyter server:: source /home/np3m/e4mma/docker/start_server and then you can start a Jupyter notebook using the link specified by the server log. Transferring files with Docker images ------------------------------------- If you want to transfer files between the docker container and your directory on the host machine, you can try a "bind mount", e.g.:: sudo docker run -rm -p 8888:8888 --mount \ type=bind,source=/path/on/host,target=/home/np3m/e4mma/mounted_dir \ -it awsteiner/e4mma:alpha5_ju_o930a4_u24.04 To get more information about how bind mounts work in docker, see `this page `_. Keep in mind, inside the container, you will need to use ``sudo`` to create or modify files in the bound directory (no superuser password is needed).