def test_nuisance_down(self):
n=IMP.kernel.Particle(self.m)
Nuisance.setup_particle(n,1.0)
Nuisance(n).set_lower(0.5)
Nuisance(n).set_upper(1.5)
n.set_value(Nuisance.get_nuisance_key(), 0.1)
self.m.evaluate(False)
self.assertAlmostEqual(n.get_value(Nuisance.get_nuisance_key()),
0.5, delta=1e-7)
self.assertAlmostEqual(self.rs.values[0],0.5)
def test_nuisance_down(self):
n = IMP.kernel.Particle(self.m)
Nuisance.setup_particle(n, 1.0)
Nuisance(n).set_lower(0.5)
Nuisance(n).set_upper(1.5)
n.set_value(Nuisance.get_nuisance_key(), 0.1)
self.m.evaluate(False)
self.assertAlmostEqual(n.get_value(Nuisance.get_nuisance_key()),
0.5,
delta=1e-7)
self.assertAlmostEqual(self.rs.values[0], 0.5)
def test_nuisance_down(self):
n=IMP.Particle(self.m)
Nuisance.setup_particle(n,1.0)
Nuisance(n).set_lower(0.5)
Nuisance(n).set_upper(1.5)
self.m.add_score_state(IMP.core.SingletonConstraint(
IMP.isd.NuisanceRangeModifier(), None, n))
n.set_value(Nuisance.get_nuisance_key(), 0.1)
self.m.evaluate(False)
self.assertAlmostEqual(n.get_value(Nuisance.get_nuisance_key()),
0.5, delta=1e-7)
self.assertAlmostEqual(self.rs.values[0],0.5)
def unprotected_evaluate(self, accum):
e = 0
self.values = [
p.get_value(Nuisance.get_nuisance_key())
for p in self.get_model().get_particles()
]
return e
def unprotected_evaluate(self, accum):
e=0
self.values = [ p.get_value(Nuisance.get_nuisance_key())
for p in self.get_model().get_particles()]
return e
def unprotected_evaluate(self, accum):
m = self.get_model()
e = 0
self.values = [m.get_attribute(Nuisance.get_nuisance_key(), p)
for p in m.get_particle_indexes()]
return e
