How To  

Download or clone this repo. Make sure you have the following prerequisites:

• swipl >= 9.0.4
• python >= 3.8
• swipl MQI for Python
• requirements.txt for the python virtual environment

1. Create a virtual environment and install the required packages:

   python3 -m venv venv
   source venv/bin/activate
   pip install -r sim/requirements.txt

2. Then, run the python script in the sim directory, after activating the virtual environment:

   python3 main.py [OPTIONS]

   The script runs a grid search on the parameters of the experiment, generating a random infrastructure and a random set of flows. The results are saved in a CSV file in the results/<experiment> directory.

   Grid parameters can be changed directly in the main.py, by modifying the param_space dictionary.

   
   Change the ranges of random values for both infrastructures and flows in the [`config.py`](https://github.com/di-unipi-socc/dgLBF/blob/main/sim/config.py) script.