See conda_environment.yml for Python dependencies. A new environment with these dependencies can be created using:

conda env create -f conda_environment.yml --prefix </path/to/environment/location>

Running the provided examples#

Global directory paths should be editted in armed.settings:

  1. RESULTSDIR: where experimental results will be stored

  2. DATADIR: where downloaded and simulated datasets are stored

Add the repository root to the PYTHONPATH. If using Visual Studio Code, this can be done by modifying the .env file, which is read by the Python extension when running any code interactively.