Methods for running simulations to calculate Voter Satisfaction Efficiency (VSE) of various voting systems in various conditions.
These are some methods for running VSE (Voter Satisfaction Efficiency) simulations for various voting systems.
See Voter Satisfaction Efficiency FAQ for an explanation of the methods and results.
Requirements: python3, scipy, pydoc
Testing uses pydoc, which should make most things pretty self-documenting.
E.g.:
python3 -m doctest methods.py
python3 -m doctest voterModels.py
python3 -m doctest dataClasses.py
python3 vse.py
Try
$ python3
>>> from vse import CsvBatch, baseRuns, Mav, medianRuns, Score
>>> from voterModels import PolyaModel
>>> csvs = CsvBatch(PolyaModel(), [[Score(), baseRuns], [Mav(), medianRuns]], nvot=5, ncand=4, niter=3)
>>> csvs.saveFile()
and look for the results in SimResults1.csv