class TestCylinder(unittest.TestCase):
"""
Testing C++ Cylinder model
"""
def setUp(self):
from sas.models.CylinderModel import CylinderModel
self.model= CylinderModel()
self.model.setParam('scale', 1.0)
self.model.setParam('radius', 20.0)
self.model.setParam('length', 400.0)
self.model.setParam('sldCyl', 4.e-6)
self.model.setParam('sldSolv', 1.e-6)
self.model.setParam('background', 0.0)
self.model.setParam('cyl_theta', 0.0)
self.model.setParam('cyl_phi', 90.0)
def test_simple(self):
self.assertAlmostEqual(self.model.run(0.001), 450.355, 3)
self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 452.299, 3)
def test_constant(self):
from sas.models.dispersion_models import DispersionModel
disp = DispersionModel()
self.model.setParam('scale', 10.0)
self.model.set_dispersion('radius', disp)
self.model.dispersion['radius']['width'] = 0.25
self.model.dispersion['radius']['npts'] = 100
self.model.dispersion['radius']['nsigmas'] = 2.5
self.assertAlmostEqual(self.model.run(0.001), 1.021051*4527.47250339, 3)
self.assertAlmostEqual(self.model.runXY([0.001, 0.001]),
1.021048*4546.997777604715, 2)
def test_gaussian(self):
from sas.models.dispersion_models import GaussianDispersion
disp = GaussianDispersion()
self.model.set_dispersion('radius', disp)
self.model.dispersion['radius']['width'] = 0.25
self.model.dispersion['radius']['npts'] = 100
self.model.dispersion['radius']['nsigmas'] = 2
self.model.setParam('scale', 10.0)
self.assertAlmostEqual(self.model.run(0.001),
1.1804794*4723.32213339, 3)
self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
1.180454*4743.56, 2)
def test_clone(self):
from sas.models.dispersion_models import GaussianDispersion
disp = GaussianDispersion()
self.model.set_dispersion('radius', disp)
self.model.dispersion['radius']['width'] = 0.25
self.model.dispersion['radius']['npts'] = 100
self.model.dispersion['radius']['nsigmas'] = 2
self.model.setParam('scale', 10.0)
new_model = self.model.clone()
self.assertAlmostEqual(new_model.run(0.001),
1.1804794*4723.32213339, 3)
self.assertAlmostEqual(new_model.runXY([0.001,0.001]),
1.180454*4743.56, 2)
def test_gaussian_zero(self):
from sas.models.dispersion_models import GaussianDispersion
disp = GaussianDispersion()
self.model.set_dispersion('radius', disp)
self.model.dispersion['radius']['width'] = 0.0
self.model.dispersion['radius']['npts'] = 100
self.model.dispersion['radius']['nsigmas'] = 2.5
self.model.setParam('scale', 1.0)
self.assertAlmostEqual(self.model.run(0.001), 450.355, 3)
self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 452.299, 3)
def test_array(self):
"""
Perform complete rotational average and
compare to 1D
"""
from sas.models.dispersion_models import ArrayDispersion
disp_ph = ArrayDispersion()
disp_th = ArrayDispersion()
values_ph = numpy.zeros(100)
values_th = numpy.zeros(100)
weights = numpy.zeros(100)
for i in range(100):
values_ph[i]=(360/99.0*i)
values_th[i]=(180/99.0*i)
weights[i]=(1.0)
disp_ph.set_weights(values_ph, weights)
disp_th.set_weights(values_th, weights)
self.model.set_dispersion('cyl_theta', disp_th)
self.model.set_dispersion('cyl_phi', disp_ph)
val_1d = self.model.run(math.sqrt(0.0002))
val_2d = self.model.runXY([0.01,0.01])
self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02)
