SageMath Docker Image
This is an attempt to standardize and streamline computational work that combines SnapPy, SageMath, and friends via a custom Docker image that is based around Ubuntu 16.04 LTS and the latest and greatest SageMath. It is indirectly derived from the official sagemath/sagemath Docker image, but includes SnapPy, and the Python interfaces to Regina, and PHCPack.
A container instance of this image starts a shell as the user sage with all the environment variables set as if you had executed sage -sh. In particular, python is SageMath's Python.
This image takes a long time to build, even on a fast computer, since it compiles SageMath from source, and weighs in at just under 4GB (1GB compressed). We recommend you use the posted image on DockerHub via:
docker pull computop/sage docker run -it computop/sage
Here, the first command downloads the image from DockerHub and the second starts a container that is running said image. Moving files between the container and the rest of the world can be done using scp or having the container mount a local directory as in this example:
docker run -dit --mount type=bind,source="$HOME/Dropbox/linux_share",target=/home/sage/linux_share computop/sage
where the directory linux_share inside the user's Dropbox folder is shared.
SageMath and all the extras are installed in /sage. You can make a tarball of that and copy it over to another Ubuntu 16.04 machine. You will need to have certain system packages installed for this to work. Those listed here are certainly enough, though surely one could get by with much less.
To build from scratch, which takes 1.3 hours using all 8 cores on a Mac Pro:
docker build --tag=computop/sage sage
If compiling Sage fails, make sure the Docker application is configured so that it can use at least 4GB of memory.
Put out on DockerHub:
docker push computop/sage