def setUp(self):
from sas.models.LorentzModel import LorentzModel
self.model= LorentzModel()
class TestLorentz(unittest.TestCase):
"""
Unit tests for Lorentz function
F(x) = scale/( 1 + (x*L)^2 ) + bkd
The model has three parameters:
L = screen Length
scale = scale factor
bkd = incoherent background
"""
def _func(self, I0 , L, bgd, qval):
return I0/(1.0 + (qval*L)*(qval*L)) + bgd
def setUp(self):
from sas.models.LorentzModel import LorentzModel
self.model= LorentzModel()
def test1D(self):
self.model.setParam('scale', 100.0)
self.model.setParam('Length', 50.0)
self.model.setParam('background', 1.0)
self.assertEqual(self.model.run(0.0), 101.0)
self.assertEqual(self.model.run(2.0), self._func(100.0, 50.0, 1.0, 2.0))
self.assertEqual(self.model.runXY(2.0), self._func(100.0, 50.0, 1.0, 2.0))
def test2D(self):
self.model.setParam('scale', 100.0)
self.model.setParam('Length', 50.0)
self.model.setParam('background', 1.0)
#value = self._func(100.0, 50.0, 1.0, 1.0)*self._func(100.0, 50.0, 1.0, 2.0)
value = self._func(100.0, 50.0, 1.0, math.sqrt(5.0))
self.assertEqual(self.model.runXY([1.0,2.0]), value)
def test2Dphi(self):
self.model.setParam('scale', 100.0)
self.model.setParam('Length', 50.0)
self.model.setParam('background', 1.0)
x = 1.0
y = 2.0
r = math.sqrt(x**2 + y**2)
phi = math.atan2(y, x)
value = self._func(100.0, 50.0, 1.0, x)*self._func(100.0, 50.0, 1.0, y)
self.assertAlmostEquals(self.model.run([r, phi]), value,1)
