def test_should_return_0_above_alpha_max(self):
scaler = restraints.NonLinearScaler(0.2, 0.8, 4, 1.0, 0.0)
self.assertAlmostEqual(scaler(0.9), 0.0)
def test_midpoint_should_return_correct_value(self):
scaler = restraints.NonLinearScaler(0.2, 0.8, 4, 1.0, 0.0)
self.assertAlmostEqual(scaler(0.5), 0.119202922)
def test_should_raise_if_alpha_is_above_one(self):
scaler = restraints.NonLinearScaler(0.2, 0.8, 4)
with self.assertRaises(RuntimeError):
scaler(2)
def test_should_return_1_below_alpha_min(self):
scaler = restraints.NonLinearScaler(0.2, 0.8, 4, 1.0, 0.0)
self.assertAlmostEqual(scaler(0.1), 1.0)
def test_should_raise_if_alpha_is_below_zero(self):
scaler = restraints.NonLinearScaler(0.2, 0.8, 4)
with self.assertRaises(RuntimeError):
scaler(-1)
def test_should_raise_if_factor_below_one(self):
with self.assertRaises(RuntimeError):
restraints.NonLinearScaler(0.0, 1.0, 0.2)
def test_should_raise_if_alpha_max_less_than_alpha_min(self):
with self.assertRaises(RuntimeError):
restraints.NonLinearScaler(0.7, 0.6, 4)
def test_should_raise_when_alpha_max_above_one(self):
with self.assertRaises(RuntimeError):
restraints.NonLinearScaler(1, 2, 4)
def test_should_raise_when_alpha_max_below_zero(self):
with self.assertRaises(RuntimeError):
restraints.NonLinearScaler(1, -1, 4)
