def test_compare_high_beta(self) -> None:
"""Checks if change of beta parameter changes duration of simulat."""
beta = 1
comp_out_vals = FlatSpreading.si_diffusion(self.exp_M, self.exp_I,
beta)
self.assertGreater(
len(self.list_S),
len(comp_out_vals[0]),
f"Simulation logs for beta={beta} should be greater than for beta"
f"={self.exp_beta} ({len(self.list_S)}!>{len(comp_out_vals[0])})",
)
def test_compare_high_I(self) -> None:
"""Checks if change of I parameter changes duration of simulation."""
new_exp_I = 1
comp_out_vals = FlatSpreading.si_diffusion(self.exp_M, new_exp_I,
self.exp_beta)
for i in comp_out_vals[:-1]:
self.assertEqual(
len(i), # type: ignore
1,
f"Simulation logs for I={new_exp_I} should be "
f"equal to 1 (len({i})!=1)",
)
def setUp(self) -> None:
"""Sets up testing parameters and performs simulation."""
self.exp_M = nx.les_miserables_graph()
self.exp_beta = 0.1
self.exp_I = 0.05
self.exp_name = "".join(random.choices(string.ascii_letters, k=5))
self.out_dir = "".join(random.choices(string.ascii_letters, k=5))
(
self.list_S,
self.list_I,
self.list_iter,
self.nodes_infected,
self.par,
) = FlatSpreading.si_diffusion(self.exp_M,
self.exp_I,
self.exp_beta,
name=self.exp_name)