def test_average_sensitivity_c_elegans(self):
from neet.boolean.examples import c_elegans
s = average_sensitivity(c_elegans)
self.assertAlmostEqual(s, 1.265625)
s = average_sensitivity(c_elegans,
states=[[0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 1, 1, 1, 1]],
weights=[9, 1])
self.assertAlmostEqual(s, 1.7)
def test_average_sensitivity_logic_network(self):
net = NB.LogicNetwork([((1, 2), {'01', '10'}),
((0, 2), ('01', '10', '11')),
((0, 1), {'11'})])
s = average_sensitivity(net)
self.assertAlmostEqual(s, 1.3333333333333333)
s = average_sensitivity(net, weights=np.ones(8))
self.assertAlmostEqual(s, 1.3333333333333333)
s = average_sensitivity(net, states=net.state_space())
self.assertAlmostEqual(s, 1.3333333333333333)
def test_average_sensitivity_lengths(self):
net = NB.WTNetwork([[1, -1], [0, 1]], [0.5, 0])
with self.assertRaises(ValueError):
average_sensitivity(
net, states=[[0, 0], [0, 1]], weights=[0, 1, 2])
def test_average_sensitivity(self):
net = NB.WTNetwork([[1, -1], [0, 1]], [0.5, 0])
self.assertEqual(1.0, average_sensitivity(net))
def test_average_sensitivity_net_type(self):
with self.assertRaises(TypeError):
average_sensitivity(self.IsNotNetwork())
with self.assertRaises(TypeError):
average_sensitivity(self.IsNotBooleanNetwork())