Code that uses the pkmn/engine and PyKMN to simulate a generation one trainer tournament. More details can be found in this post.
Begin by setting up a virtual environment.
You will require the PyKMN bindings from saikumarmk/PyKMN before proceeding. Clone the repository, and run the following in the PyKMN folder:
python3 -m build
python3 -m pip install --find-links=dist pykmnWhich will generate the wheels for pykmn then install them. You should build this inside the virtual environment, although you could run the first command and then manually install the wheel. Up to you.
Generate trainer data, run the tournament and then do analysis.
If you don't specify the level, it defaults to their usual levels.
python -m src.main gen trainer_path --set-level 100
python -m src.main tourney trainer_path battle_path
python -m src.main elo trainer_path battle_path
If you want to do everything at once, use e2e:
python -m src.main e2e "data/new.pkl" "data/battle.pkl"