class TestCyl(unittest.TestCase):
"""Unit tests for cylinder"""
def setUp(self):
from sas.models.CylinderModel import CylinderModel
self.comp = CylinderModel()
def test1D(self):
""" Test 1D model of a cylinder """
self.assertAlmostEqual(self.comp.run(0.2), 0.041761386790780453, 4)
def testTime(self):
""" Time profiling """
self.comp.run(2.0)
t0 = time.clock()
self.assertTrue(time.clock()-t0<1e-5)
def test2D(self):
""" Test 2D model of a cylinder """
self.comp.setParam('cyl_theta', 10.0)
self.comp.setParam('cyl_phi', 10.0)
self.assertAlmostEqual(self.comp.run([0.2, 2.5]),
0.038176446608393366, 2)
def test2DXY(self):
""" Test 2D model of a cylinder """
self.comp.setParam('cyl_theta', 10.0)
self.comp.setParam('cyl_phi', 10.0)
self.assertAlmostEqual(self.comp.runXY([0.01, 0.02]), 14.89, 2)
class TestCyl(unittest.TestCase):
"""Unit tests for cylinder"""
def setUp(self):
from sas.models.CylinderModel import CylinderModel
self.comp = CylinderModel()
def test1D(self):
""" Test 1D model of a cylinder """
self.assertAlmostEqual(self.comp.run(0.2), 0.041761386790780453, 4)
def testTime(self):
""" Time profiling """
self.comp.run(2.0)
t0 = time.clock()
self.assertTrue(time.clock() - t0 < 1e-5)
def test2D(self):
""" Test 2D model of a cylinder """
self.comp.setParam('cyl_theta', 10.0)
self.comp.setParam('cyl_phi', 10.0)
self.assertAlmostEqual(self.comp.run([0.2, 2.5]), 0.038176446608393366,
2)
def test2DXY(self):
""" Test 2D model of a cylinder """
self.comp.setParam('cyl_theta', 10.0)
self.comp.setParam('cyl_phi', 10.0)
self.assertAlmostEqual(self.comp.runXY([0.01, 0.02]), 14.89, 2)
class TestDisperser(unittest.TestCase):
""" Unit tests for sphere model """
def setUp(self):
self.model = CylinderModel()
self.model.setParam("cyl_theta", 1.57)
self.model.setParam("cyl_phi", 0.1)
def testNoDisp(self):
""" Test 1D model for a sphere """
q = 0.005
d = Disperser(self.model, [], [])
value = d.run([q, 0])
self.assertEqual(value, self.model.run([q, 0]))
def testComp(self):
q = 0.005
phi = 0.10
sigma = 0.3
value_0 = self.model.run([q, phi])
app = Smear(self.model, ['cyl_phi'], [sigma])
val_py = app.run([q, phi])
# Check that the parameters were returned to original values
self.assertEqual(value_0, self.model.run([q, phi]))
d = Disperser(self.model, ["cyl_phi"], [sigma])
val_c = d.run([q, phi])
self.assertEqual(val_py, val_c)
def test2Disp(self):
q = 0.005
phi = 0.10
sigma = 0.3
value_0 = self.model.run([q, phi])
app = Smear(self.model, ['cyl_phi', 'cyl_theta'], [sigma, sigma])
val_py = app.run([q, phi])
# Check that the parameters were returned to original values
self.assertEqual(value_0, self.model.run([q, phi]))
d = Disperser(self.model, ["cyl_phi", "cyl_theta"], [sigma, sigma])
val_c = d.run([q, phi])
self.assertEqual(val_py, val_c)
def test3Disp(self):
q = 0.005
phi = 0.10
sigma = 0.3
value_0 = self.model.run([q, phi])
app = Smear(self.model,
['cyl_phi', 'cyl_theta', 'radius'], [sigma, sigma, 1.0])
val_py = app.run([q, phi])
# Check that the parameters were returned to original values
self.assertEqual(value_0, self.model.run([q, phi]))
d = Disperser(self.model,
["cyl_phi", "cyl_theta", 'radius'], [sigma, sigma, 1.0])
val_c = d.run([q, phi])
self.assertEqual(val_py, val_c)
class TestCylinder(unittest.TestCase):
""" Unit tests for Cylinder model using evalDistribution function """
def setUp(self):
from sas.models.CylinderModel import CylinderModel
self.comp = CylinderModel()
self.x = numpy.array([1.0,2.0,3.0, 4.0])
self.y = self.x +1
def test1D(self):
""" Test 1D model for a cylinder with vector as input"""
answer = numpy.array([1.98860592e-04,7.03686335e-05,2.89144683e-06,2.04282827e-06])
testvector= self.comp.evalDistribution(self.x)
self.assertAlmostEqual(len(testvector),4)
for i in xrange(len(answer)):
self.assertAlmostEqual(testvector[i],answer[i])
def test1D_1(self):
""" Test 2D model for a cylinder with scalar as input"""
self.assertAlmostEqual(self.comp.run(0.2), 0.041761386790780453, 4)
def test1D_2(self):
""" Test 2D model of a cylinder """
self.comp.setParam('cyl_theta', 10.0)
self.comp.setParam('cyl_phi', 10.0)
self.assertAlmostEqual(self.comp.run([0.2, 2.5]),
0.038176446608393366, 2)
def test1D_3(self):
""" Test 2D model for a cylinder for 2 vectors as input """
vect = self.comp.evalDistribution([self.x,self.y])
self.assertAlmostEqual(vect[0],5.06121018e-08,4)
self.assertAlmostEqual(vect[len(self.x)-1],2.5978e-11, 4)
class TestCylinder(unittest.TestCase):
""" Unit tests for Cylinder model using evalDistribution function """
def setUp(self):
from sas.models.CylinderModel import CylinderModel
self.comp = CylinderModel()
self.x = numpy.array([1.0, 2.0, 3.0, 4.0])
self.y = self.x + 1
def test1D(self):
""" Test 1D model for a cylinder with vector as input"""
answer = numpy.array(
[1.98860592e-04, 7.03686335e-05, 2.89144683e-06, 2.04282827e-06])
testvector = self.comp.evalDistribution(self.x)
self.assertAlmostEqual(len(testvector), 4)
for i in xrange(len(answer)):
self.assertAlmostEqual(testvector[i], answer[i])
def test1D_1(self):
""" Test 2D model for a cylinder with scalar as input"""
self.assertAlmostEqual(self.comp.run(0.2), 0.041761386790780453, 4)
def test1D_2(self):
""" Test 2D model of a cylinder """
self.comp.setParam('cyl_theta', 10.0)
self.comp.setParam('cyl_phi', 10.0)
self.assertAlmostEqual(self.comp.run([0.2, 2.5]), 0.038176446608393366,
2)
def test1D_3(self):
""" Test 2D model for a cylinder for 2 vectors as input """
vect = self.comp.evalDistribution([self.x, self.y])
self.assertAlmostEqual(vect[0], 5.06121018e-08, 4)
self.assertAlmostEqual(vect[len(self.x) - 1], 2.5978e-11, 4)
def checkCylinder(self, points):
"""
Compare the average over all orientations
of the main cylinder axis for a cylinder
and the elliptical cylinder with r_ratio = 1
@param points: number of points to average over
@return: True if the test passed, otherwise False
"""
from sas.models.CylinderModel import CylinderModel
passed = True
npts =points
model = EllipticalCylinderModel()
model.setParam('r_ratio', 1.0)
model.setParam("r_minor", 20)
model.setParam("cyl_theta", 90)
model.setParam("cyl_phi", 0.0)
model.setParam("length", 400)
model.setParam("sldEll", 2.0e-6)
model.setParam("sldSolv", 1.0e-6)
cyl = CylinderModel()
cyl.setParam("cyl_theta", 90)
cyl.setParam("cyl_phi", 0.0)
cyl.setParam("radius", 20)
cyl.setParam("length", 400)
cyl.setParam("sldCyl", 2.0e-6)
cyl.setParam("sldSolv", 1.0e-6)
output_f = open("average_func.txt",'w')
output_f.write("<q_average> <2d_average> <1d_average>\n")
for i_q in range(1, 15):
q = 0.3/15.0*i_q
value = self.average_point_2D(model, q, npts)
ana = cyl.run(q)
if q<0.3 and math.fabs(value-ana)/ana>0.05:
passed = False
output_f.write("%10g %10g %10g\n" % (q, value, ana))
if self.verbose:
print "Q=%g: %10g %10g %10g %10g" % (q, value, ana, value-ana, value/ana)
output_f.close()
return passed
def checkCylinder2D(self, phi):
"""
Check that the 2D scattering intensity reduces
to a cylinder when r_ratio = 1.0
@param phi: angle of the vector q on the detector
@return: True if the test passed, otherwise False
"""
from sas.models.CylinderModel import CylinderModel
cyl = CylinderModel()
cyl.setParam("cyl_theta", 90)
cyl.setParam("cyl_phi", 0.0)
cyl.setParam("radius", 20)
cyl.setParam("length", 400)
cyl.setParam("sldCyl", 2.0e-6)
cyl.setParam("sldSolv", 1.0e-6)
ell = EllipticalCylinderModel()
ell.setParam("r_ratio", 1.0)
ell.setParam("r_minor", 20)
ell.setParam("cyl_theta", 90)
ell.setParam("cyl_phi", 0.0)
ell.setParam("length", 400)
ell.setParam("sldCyl", 2.0e-6)
ell.setParam("sldSolv", 1.0e-6)
passed = True
for i_q in range(1, 30):
q = 0.025 * i_q
ell_val = ell.run([q, phi])
cyl_val = cyl.run([q, phi])
if self.verbose:
print "Q=%g Ell=%g Cyl=%g R=%g" % (q, ell_val, cyl_val,
ell_val / cyl_val)
if math.fabs(ell_val - cyl_val) / cyl_val > 0.05:
passed = False
return passed
def checkCylinder2D(self, phi):
"""
Check that the 2D scattering intensity reduces
to a cylinder when r_ratio = 1.0
@param phi: angle of the vector q on the detector
@return: True if the test passed, otherwise False
"""
from sas.models.CylinderModel import CylinderModel
cyl = CylinderModel()
cyl.setParam("cyl_theta", 90)
cyl.setParam("cyl_phi", 0.0)
cyl.setParam("radius", 20)
cyl.setParam("length", 400)
cyl.setParam("sldCyl", 2.0e-6)
cyl.setParam("sldSolv", 1.0e-6)
ell = EllipticalCylinderModel()
ell.setParam("r_ratio", 1.0)
ell.setParam("r_minor", 20)
ell.setParam("cyl_theta", 90)
ell.setParam("cyl_phi", 0.0)
ell.setParam("length", 400)
ell.setParam("sldCyl", 2.0e-6)
ell.setParam("sldSolv", 1.0e-6)
passed = True
for i_q in range(1, 30):
q = 0.025*i_q
ell_val = ell.run([q, phi])
cyl_val = cyl.run([q, phi])
if self.verbose:
print "Q=%g Ell=%g Cyl=%g R=%g" %(q, ell_val, cyl_val, ell_val/cyl_val)
if math.fabs(ell_val-cyl_val)/cyl_val>0.05:
passed= False
return passed
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)
class TestcylinderHayterM(unittest.TestCase):
"""
Unit tests for CylinderModel(Q) * HayterMSAStructure(Q)
"""
def setUp(self):
from sas.models.CylinderModel import CylinderModel
from sas.models.HayterMSAStructure import HayterMSAStructure
from sas.models.DiamCylFunc import DiamCylFunc
from sas.models.MultiplicationModel import MultiplicationModel
self.model = CylinderModel()
self.model2 = HayterMSAStructure()
self.model3 = MultiplicationModel(self.model, self.model2)
self.modelD = DiamCylFunc()
#Radius of model1.calculate_ER should be equal to the output/2 of DiamFunctions
def test_multplication_radius(self):
"""
test multiplication model (check the effective radius & the output
of the multiplication)
"""
self.model.setParam("radius", 60)
self.modelD.setParam("radius", 60)
modelDrun = self.modelD.run(0.1)/2
self.model2.setParam("volfraction", 0.2)
self.model2.setParam("effect_radius", modelDrun )
#Compare new method with old method
self.assertEqual(self.model3.run(0.1), self.model.run(0.1)*self.model2.run(0.1))
#Compare radius from two different calculations. Note: modelD.run(0.0) is DIAMETER
self.assertEqual(self.model.calculate_ER(), modelDrun)
def testMultiplicationParam(self):
""" Test Multiplication (check the parameters)"""
## test details dictionary
## test parameters list
list3= self.model3.getParamList()
for item in self.model.getParamList():
if not 'scale' in item:
self.assert_(item in list3)
for item in self.model2.getParamList():
#model3 parameters should not include effect_radius*
if not 'effect_radius' in item:
self.assert_(item in list3)
## test set value for parameters and get paramaters
#self.model3.setParam("scale", 15)
#self.assertEqual(self.model3.getParam("scale"), 15)
self.model3.setParam("scale_factor", 15)
self.assertEqual(self.model3.getParam("scale_factor"), 15)
self.model3.setParam("radius", 20)
self.assertEqual(self.model3.getParam("radius"), 20)
self.model3.setParam("radius.width", 15)
self.assertEqual(self.model3.getParam("radius.width"), 15)
self.model3.setParam("scale_factor", 15)
self.assertEqual(self.model3.getParam("scale_factor"), 15)
self.assertEqual(self.model3.getParam("volfraction"), self.model.getParam("scale"))
## Dispersity
list3= self.model3.getDispParamList()
self.assertEqual(list3, ['radius.npts', 'radius.nsigmas', 'radius.width', 'length.npts', \
'length.nsigmas', 'length.width', 'cyl_theta.npts', 'cyl_theta.nsigmas', 'cyl_theta.width',\
'cyl_phi.npts', 'cyl_phi.nsigmas', 'cyl_phi.width'])
from sas.models.dispersion_models import ArrayDispersion
disp_th = ArrayDispersion()
values_th = numpy.zeros(100)
weights = numpy.zeros(100)
for i in range(100):
values_th[i]=(math.pi/99.0*i)
weights[i]=(1.0)
disp_th.set_weights(values_th, weights)
self.model3.set_dispersion('radius', disp_th)
model4= self.model3.clone()
self.assertEqual(model4.getParam("radius"), 20)
class TestcylinderHayterM(unittest.TestCase):
"""
Unit tests for CylinderModel(Q) * HayterMSAStructure(Q)
"""
def setUp(self):
from sas.models.CylinderModel import CylinderModel
from sas.models.HayterMSAStructure import HayterMSAStructure
from sas.models.DiamCylFunc import DiamCylFunc
from sas.models.MultiplicationModel import MultiplicationModel
self.model = CylinderModel()
self.model2 = HayterMSAStructure()
self.model3 = MultiplicationModel(self.model, self.model2)
self.modelD = DiamCylFunc()
#Radius of model1.calculate_ER should be equal to the output/2 of DiamFunctions
def test_multplication_radius(self):
"""
test multiplication model (check the effective radius & the output
of the multiplication)
"""
self.model.setParam("radius", 60)
self.modelD.setParam("radius", 60)
modelDrun = self.modelD.run(0.1)/2
self.model2.setParam("volfraction", 0.2)
self.model2.setParam("effect_radius", modelDrun )
#Compare new method with old method
self.assertEqual(self.model3.run(0.1), self.model.run(0.1)*self.model2.run(0.1))
#Compare radius from two different calculations. Note: modelD.run(0.0) is DIAMETER
self.assertEqual(self.model.calculate_ER(), modelDrun)
def testMultiplicationParam(self):
""" Test Multiplication (check the parameters)"""
## test details dictionary
## test parameters list
list3= self.model3.getParamList()
for item in self.model.getParamList():
if not 'scale' in item:
self.assert_(item in list3)
for item in self.model2.getParamList():
#model3 parameters should not include effect_radius*
if not 'effect_radius' in item:
self.assert_(item in list3)
## test set value for parameters and get paramaters
#self.model3.setParam("scale", 15)
#self.assertEqual(self.model3.getParam("scale"), 15)
self.model3.setParam("scale_factor", 15)
self.assertEqual(self.model3.getParam("scale_factor"), 15)
self.model3.setParam("radius", 20)
self.assertEqual(self.model3.getParam("radius"), 20)
self.model3.setParam("radius.width", 15)
self.assertEqual(self.model3.getParam("radius.width"), 15)
self.model3.setParam("scale_factor", 15)
self.assertEqual(self.model3.getParam("scale_factor"), 15)
self.assertEqual(self.model3.getParam("volfraction"), self.model.getParam("scale"))
## Dispersity
list3= self.model3.getDispParamList()
self.assertEqual(list3, ['radius.npts', 'radius.nsigmas', 'radius.width', 'length.npts', \
'length.nsigmas', 'length.width', 'cyl_theta.npts', 'cyl_theta.nsigmas', 'cyl_theta.width',\
'cyl_phi.npts', 'cyl_phi.nsigmas', 'cyl_phi.width'])
from sas.models.dispersion_models import ArrayDispersion
disp_th = ArrayDispersion()
values_th = numpy.zeros(100)
weights = numpy.zeros(100)
for i in range(100):
values_th[i]=(math.pi/99.0*i)
weights[i]=(1.0)
disp_th.set_weights(values_th, weights)
self.model3.set_dispersion('radius', disp_th)
model4= self.model3.clone()
self.assertEqual(model4.getParam("radius"), 20)
