def test_new_disp(self):
from sas.models.dispersion_models import GaussianDispersion
disp_rm = GaussianDispersion()
self.model.set_dispersion('radius', disp_rm)
self.model.dispersion['radius']['width'] = 0.1666666667
self.model.dispersion['radius']['npts'] = 10
self.model.dispersion['radius']['nsigmas'] = 2
def test_new_disp(self):
from sas.models.dispersion_models import GaussianDispersion
disp_rm = GaussianDispersion()
self.model.set_dispersion('radius', disp_rm)
self.model.dispersion['radius']['width'] = 0.1666666667
self.model.dispersion['radius']['npts'] = 10
self.model.dispersion['radius']['nsigmas'] = 2
disp_rr = GaussianDispersion()
self.model.set_dispersion('thickness', disp_rr)
self.model.dispersion['thickness']['width'] = 0.2
self.model.dispersion['thickness']['npts'] = 10
self.model.dispersion['thickness']['nsigmas'] = 2
self.assertAlmostEqual(self.model.run(0.001),
1.16747510*407.344127907553, 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_gauss(self):
from sas.models.dispersion_models import GaussianDispersion
disp_g = GaussianDispersion()
self.model.set_dispersion('radius', disp_g)
self.model.dispersion['radius']['width'] = 0.2
self.model.dispersion['radius']['npts'] = 100
self.model.dispersion['radius']['nsigmas'] = 10
for ind in range(len(self.output_gauss.x)):
self.assertAlmostEqual(self.model.run(self.output_gauss.x[ind]),
self.output_gauss.y[ind], 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_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_new_disp(self):
from sas.models.dispersion_models import GaussianDispersion
disp_rm = GaussianDispersion()
self.model.set_dispersion('r_minor', disp_rm)
self.model.dispersion['r_minor']['width'] = 0.25
self.model.dispersion['r_minor']['npts'] = 10
self.model.dispersion['r_minor']['nsigmas'] = 2
disp_rr = GaussianDispersion()
self.model.set_dispersion('r_ratio', disp_rr)
self.model.dispersion['r_ratio']['width'] = 0.25/1.5
self.model.dispersion['r_ratio']['npts'] = 10
self.model.dispersion['r_ratio']['nsigmas'] = 2
disp_len = GaussianDispersion()
self.model.set_dispersion('length', disp_len)
self.model.dispersion['length']['width'] = 50.0/400
self.model.dispersion['length']['npts'] = 10
self.model.dispersion['length']['nsigmas'] = 2
self.assertAlmostEqual(self.model.run(0.001),
1.23925910*711.18048194151925, 3)
self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
1.238955*704.63525988095705, 0)
def test_new_disp(self):
from sas.models.dispersion_models import GaussianDispersion
disp_rm = GaussianDispersion()
self.model.set_dispersion('radius', disp_rm)
self.model.dispersion['radius']['width'] = 0.25
self.model.dispersion['radius']['npts'] = 10
self.model.dispersion['radius']['nsigmas'] = 2
disp_rr = GaussianDispersion()
self.model.set_dispersion('thickness', disp_rr)
self.model.dispersion['thickness']['width'] = 0.2
self.model.dispersion['thickness']['npts'] = 10
self.model.dispersion['thickness']['nsigmas'] = 2
disp_len = GaussianDispersion()
self.model.set_dispersion('length', disp_len)
self.model.dispersion['length']['width'] = 1.0/8.0
self.model.dispersion['length']['npts'] = 10
self.model.dispersion['length']['nsigmas'] = 2
self.assertAlmostEqual(self.model.run(0.001),
1.07832610*358.44062724936009, 3)
self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
1.07844010*360.22673635224584, 3)
def test_clone(self):
from sas.models.dispersion_models import GaussianDispersion
disp = GaussianDispersion()
self.model.set_dispersion('radius', disp)
self.model.dispersion['radius']['width'] = 5.0 / 20.0
self.model.dispersion['radius']['npts'] = 100
self.model.dispersion['radius']['nsigmas'] = 2.0
self.model.setParam('scale', 10.0)
new_model = self.model.clone()
print "gaussian", self.model.run(0.001)
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)
