- you can avoid the next steps if you install the dependencies with pip (not recommended):
pip install -r requirements.txt - install poetry with your package manager or with
pip install -U poetry - setup python environment with poetry:
poetry install --sync
main files are in the main folder because src only contains classes and methods.
test files are in the test folder. You can use --multiprocessing to split them across multiple processes. Results will be saved in the results folder
- you can skip the next steps if you use
poetry run python3 {target_script}.pyor if you installed the dependencies directly with pip you can go to step 2 - activate the python environment:
poetry shell - run:
python3 {target_script}.py
config files are in the config folders.
--extension flag selects what class it should use between base (base extension) and advanced. If no extension is provided it will run the stock one.
poetry run python3 main/mmn.py
poetry run python3 test/mmn.py --multiprocessing
poetry run python3 main/storage.py config/p2p.cfg --max-t "2 years"
poetry run python3 test/storage.py config/p2p.cfg --multiprocessing
for better testing a docker image has been defined and you can use it with the docker-compose.yml with: docker-compose up -d {mmn-test|storage-test}