This code can be used to explore the results of

"Modelling the Utility of Group Testing for Public Health Surveillance,"
Günther Koliander and Georg Pichler, 2020.

Make sure the requirements are satisfied. Other than that, no installation is required. The main pooltesting package may be installed using setup.py, but this is not necessary.

Run a Jupyter Notebook in the main directory and open pooltesting_plot.ipynb. Upon executing all cells, this will present an interactive plot of all fundamentals bounds, the 2SG, individual testing, and binary splitting strategies. The 1SG strategy can be un-commented in the code of util.py. The plot can be zoomed and panned. Sliders at the bottom allow changing the values p, a, b, N for each subpopulation.

Rudimentary, randomized unitittests are included in pooltesting/test_pooltest.py. They can be executed using

python -m unittest pooltesting.test_pooltest.TestPoolTest

and should take several seconds to complete.

The main code in pooltesting/pooltest.py is documented using Python Docstrings.