class TestFractalCoreShell(unittest.TestCase):
"""
Unit tests for FractalCoreShell Model function
"""
def setUp(self):
from sas.models.FractalCoreShellModel import FractalCoreShellModel
self.model = FractalCoreShellModel()
def test1D(self):
#self.model.setParam('radius.width', 2.0)
# the values are from Igor pro calculation
# the different digits are due to precision of q values
self.assertAlmostEqual(self.model.run(0.001), 273.742, 3)
self.assertAlmostEqual(self.model.run(0.1501412), 0.040079, 6)
self.assertAlmostEqual(self.model.runXY(0.4425284), 0.00141167, 8)
def test1DSchulzDispersion(self):
# Same test w/ test1D up there but w/ Schulzdispersion
from sas.models.dispersion_models import SchulzDispersion
disp = SchulzDispersion()
self.model.set_dispersion('radius', disp)
# 'width' is a ratio now for non-angular parameters
self.model.dispersion['radius']['width'] = 0.1
self.model.dispersion['radius']['npts'] = 100
self.model.dispersion['radius']['nsigmas'] = 3.0
# the values are from Igor pro calculation
# the run does not neccessary to be exactly same with NIST
# 'cause we used different method.
self.assertAlmostEqual(self.model.run(0.001), 287.851, -1)
self.assertAlmostEqual(self.model.run(0.1501412), 0.0500775, 3)
self.assertAlmostEqual(self.model.runXY(0.4425284), 0.00390948, 3)
class TestFractalCoreShell(unittest.TestCase):
"""
Unit tests for FractalCoreShell Model function
"""
def setUp(self):
from sas.models.FractalCoreShellModel import FractalCoreShellModel
self.model= FractalCoreShellModel()
def test1D(self):
#self.model.setParam('radius.width', 2.0)
# the values are from Igor pro calculation
# the different digits are due to precision of q values
self.assertAlmostEqual(self.model.run(0.001), 273.742, 3)
self.assertAlmostEqual(self.model.run(0.1501412), 0.040079, 6)
self.assertAlmostEqual(self.model.runXY(0.4425284), 0.00141167, 8)
def test1DSchulzDispersion(self):
# Same test w/ test1D up there but w/ Schulzdispersion
from sas.models.dispersion_models import SchulzDispersion
disp = SchulzDispersion()
self.model.set_dispersion('radius', disp)
# 'width' is a ratio now for non-angular parameters
self.model.dispersion['radius']['width'] = 0.1
self.model.dispersion['radius']['npts'] = 100
self.model.dispersion['radius']['nsigmas'] = 3.0
# the values are from Igor pro calculation
# the run does not neccessary to be exactly same with NIST
# 'cause we used different method.
self.assertAlmostEqual(self.model.run(0.001), 287.851, -1)
self.assertAlmostEqual(self.model.run(0.1501412), 0.0500775, 3)
self.assertAlmostEqual(self.model.runXY(0.4425284), 0.00390948, 3)
def setUp(self):
from sas.models.FractalCoreShellModel import FractalCoreShellModel
self.model = FractalCoreShellModel()
def setUp(self):
from sas.models.FractalCoreShellModel import FractalCoreShellModel
self.model= FractalCoreShellModel()
