def setUp(self):
from sas.models.TeubnerStreyModel import TeubnerStreyModel
self.model= TeubnerStreyModel()
class TestTeubnerStrey(unittest.TestCase):
"""
Unit tests for PowerLaw function
F(x) = 1/( scale + c1*(x)^(2)+ c2*(x)^(4)) + bkd
The model has Four parameters:
scale = scale factor
c1 = constant
c2 = constant
bkd = incoherent background
"""
def _func(self, scale, c1, c2, bck, q):
q2 = q*q;
q4 = q2*q2;
return 1.0/(scale + c1*q2+c2*q4) + bck
def setUp(self):
from sas.models.TeubnerStreyModel import TeubnerStreyModel
self.model= TeubnerStreyModel()
def test1D(self):
self.model.setParam('c1', -30.0)
self.model.setParam('c2', 5000.0)
self.model.setParam('scale', 0.1)
self.model.setParam('background', 0.1)
#self.assertEqual(1/(math.sqrt(4)), math.pow(4,-1/2))
#self.assertEqual(self.model.TeubnerStreyLengths(),False )
self.assertEqual(self.model.run(0.0), 10.1)
self.assertEqual(self.model.run(2.0), self._func(0.1,-30.0,5000.0,0.1,2.0))
self.assertEqual(self.model.runXY(2.0), self._func(0.1,-30.0,5000.0,0.1,2.0))
def test2D(self):
self.model.setParam('c1', -30.0)
self.model.setParam('c2', 5000.0)
self.model.setParam('scale', 0.1)
self.model.setParam('background', 0.1)
#value = self._func(0.1,-30.0,5000.0,0.1, 1.0)\
#*self._func(0.1,-30.0,5000.0,0.1, 2.0)
value = self._func(0.1,-30.0,5000.0,0.1, math.sqrt(5.0))
self.assertEqual(self.model.runXY([1.0,2.0]), value)
def test2Dphi(self):
self.model.setParam('c1', -30.0)
self.model.setParam('c2', 5000.0)
self.model.setParam('scale', 0.1)
self.model.setParam('background', 0.1)
x = 1.0
y = 2.0
r = math.sqrt(x**2 + y**2)
phi = math.atan2(y, x)
#value = self._func(0.1,-30.0,5000.0,0.1, x)\
#*self._func(0.1,-30.0,5000.0,0.1, y)
value = self._func(0.1,-30.0,5000.0,0.1, r)
self.assertAlmostEquals(self.model.run([r, phi]), value,1)
