class TestRunMethods(unittest.TestCase):
""" Tests run methods for oriented (2D) systems """
def setUp(self):
""" Set up ellipsoid """
from sas.models.EllipsoidModel import EllipsoidModel
radius_a = 10
radius_b = 15
density = 5
self.ana = EllipsoidModel()
self.ana.setParam('scale', 1.0)
self.ana.setParam('contrast', 1.0)
self.ana.setParam('background', 0.0)
self.ana.setParam('radius_a', radius_a)
self.ana.setParam('radius_b', radius_b)
canvas = VolumeCanvas.VolumeCanvas()
canvas.setParam('lores_density', density)
self.handle = canvas.add('ellipsoid')
canvas.setParam('%s.radius_x' % self.handle, radius_a)
canvas.setParam('%s.radius_y' % self.handle, radius_b)
canvas.setParam('%s.radius_z' % self.handle, radius_b)
canvas.setParam('scale' , 1.0)
canvas.setParam('%s.contrast' % self.handle, 1.0)
canvas.setParam('background' , 0.0)
self.canvas = canvas
self.ana.setParam('axis_theta', 1.57)
self.ana.setParam('axis_phi', 0)
self.canvas.setParam('%s.orientation' % self.handle, [0,0,0])
def testRunXY_List(self):
""" Testing ellipsoid along X """
ana_val = self.ana.runXY([0.1, 0.2])
sim_val = self.canvas.runXY([0.1, 0.2])
#print ana_val, sim_val, sim_val/ana_val
try:
self.assert_( math.fabs(sim_val/ana_val-1.0)<0.05 )
except:
print "Error", ana_val, sim_val, sim_val/ana_val
raise sys.exc_type, sys.exc_value
def testRunXY_float(self):
""" Testing ellipsoid along X """
ana_val = self.ana.runXY(0.1)
sim_val = self.canvas.runXY(0.1)
#print ana_val, sim_val, sim_val/ana_val
try:
self.assert_( math.fabs(sim_val/ana_val-1.0)<0.05 )
except:
print "Error", ana_val, sim_val, sim_val/ana_val
raise sys.exc_type, sys.exc_value
def testRun_float(self):
""" Testing ellipsoid along X """
ana_val = self.ana.run(0.1)
sim_val = self.canvas.run(0.1)
#print ana_val, sim_val, sim_val/ana_val
try:
self.assert_( math.fabs(sim_val/ana_val-1.0)<0.05 )
except:
print "Error", ana_val, sim_val, sim_val/ana_val
raise sys.exc_type, sys.exc_value
def testRun_list(self):
""" Testing ellipsoid along X """
ana_val = self.ana.run([0.1, 33.0])
sim_val = self.canvas.run([0.1, 33.0])
#print ana_val, sim_val, sim_val/ana_val
try:
self.assert_( math.fabs(sim_val/ana_val-1.0)<0.05 )
except:
print "Error", ana_val, sim_val, sim_val/ana_val
raise sys.exc_type, sys.exc_value
class TestEllipsoid(unittest.TestCase):
"""
Testing C++ Cylinder model
"""
def setUp(self):
from sas.models.EllipsoidModel import EllipsoidModel
self.model= EllipsoidModel()
self.model.setParam('scale', 1.0)
self.model.setParam('radius_a', 20.0)
self.model.setParam('radius_b', 400.0)
self.model.setParam('sldEll', 4.e-6)
self.model.setParam('sldSolv', 1.e-6)
self.model.setParam('background', 0.0)
self.model.setParam('axis_theta', 0.0)
self.model.setParam('axis_phi', 0.0)
def test_simple(self):
"""
Test simple 1D and 2D values
Numbers taken from model that passed validation, before
the update to C++ underlying class.
"""
self.assertAlmostEqual(self.model.run(0.001),
11808.842896863147, 3)
self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
11681.990374929677, 3)
def test_dispersion(self):
"""
Test with dispersion
"""
from sas.models.DisperseModel import DisperseModel
disp = DisperseModel(self.model, ['radius_a', 'radius_b'], [5, 50])
disp.setParam('n_pts', 10)
self.assertAlmostEqual(disp.run(0.001), 11948.72581312305, 3)
self.assertAlmostEqual(disp.runXY([0.001,0.001]), 11811.972359807551, 3)
def test_new_disp(self):
from sas.models.dispersion_models import GaussianDispersion
disp_rm = GaussianDispersion()
self.model.set_dispersion('radius_a', disp_rm)
self.model.dispersion['radius_a']['width'] = 0.25
self.model.dispersion['radius_a']['npts'] = 10
self.model.dispersion['radius_a']['nsigmas'] = 2
disp_rr = GaussianDispersion()
self.model.set_dispersion('radius_b', disp_rr)
self.model.dispersion['radius_b']['width'] = 0.125
self.model.dispersion['radius_b']['npts'] = 10
self.model.dispersion['radius_b']['nsigmas'] = 2
self.assertAlmostEqual(self.model.run(0.001),
1.10650710*11948.72581312305, 3)
self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
1.105898*11811.972359807551, 2)
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('axis_theta', disp_th)
self.model.set_dispersion('axis_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)