Installing with Docker#
Installing VaMPy
through Docker may be a good choice if you want to work in an isolated environment that doesn’t
interfere with your system’s existing libraries or dependencies. Our Docker image contains VaMPy
with its
dependencies, and can be run on any operating system that supports Docker. The image is built to support the AMD64
architecture, making it compatible with most modern CPUs.
Prerequisites#
Docker must be installed on your system.
Step 1: Pull the Docker image#
You can pull the Docker image for the latest VaMPy
package from its
official GitHub container registry using the following command:
$ docker pull ghcr.io/kvslab/vampy:latest
Step 2: Run the Docker container#
After pulling the Docker image, you can run the container using the following command:
$ docker run -it ghcr.io/kvslab/vampy:latest
Step 3: Verify the installation#
You can verify that VaMPy
is installed correctly by downloading the test dependencies, and running the tests using the
following commands:
$ python3 -m pip install .[test]
$ python3 -m pytest tests
Building our own docker image#
Instead of pulling the Docker image for VaMPy
from GitHub, you can build it yourself using the provided Dockerfile
.
The Dockerfile can be found in the docker
folder located in the root of the project repository.
To build the Docker image, open a terminal window and navigate to the docker
folder of the project. Then, execute the
following command:
docker build -t vampy .
This command will use the instructions in the Dockerfile
to create a Docker image with the name vampy
. Once the
Docker image is built, you can run a container from it using the docker run
command.