utest_dispersity.py @ 4c712ea4

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 4c712ea4 was 94ec93c, checked in by Jae Cho <jhjcho@…>, 13 years ago
updated unitest
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[0f5bc9f]	1	"""
	2	Unit tests for dispersion functionality of
	3	C++ model classes
	4	"""
	5
[59b9b675]	6	#Note: The 'sans.models.DisperseModel' is for only the test. We use
	7	#'sans.models.dispersion_models', instead in the application.
	8	#The first uses width = sigma, while the second uses width = ratio (=sigma/mean)
	9	#for length parameters and width = sigma for angle parameters.
	10	#In Feb. 2011, we found and fixed the some precision problems in the C, so that
	11	#this test was updated too.
	12
	13
[0f5bc9f]	14	import unittest, math, numpy
	15
	16	class TestCylinder(unittest.TestCase):
	17	"""
	18	Testing C++ Cylinder model
	19	"""
	20	def setUp(self):
	21	from sans.models.CylinderModel import CylinderModel
	22	self.model= CylinderModel()
	23
	24	self.model.setParam('scale', 1.0)
	25	self.model.setParam('radius', 20.0)
	26	self.model.setParam('length', 400.0)
[18b89c4]	27	self.model.setParam('sldCyl', 4.e-6)
	28	self.model.setParam('sldSolv', 1.e-6)
[0f5bc9f]	29	self.model.setParam('background', 0.0)
	30	self.model.setParam('cyl_theta', 0.0)
	31	self.model.setParam('cyl_phi', 0.0)
	32
	33	def test_simple(self):
	34	self.assertAlmostEqual(self.model.run(0.001), 450.355, 3)
	35	self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 452.299, 3)
	36
	37	def test_constant(self):
	38	from sans.models.dispersion_models import DispersionModel
	39	disp = DispersionModel()
	40	self.model.setParam('scale', 10.0)
	41	self.model.set_dispersion('radius', disp)
[59b9b675]	42	self.model.dispersion['radius']['width'] = 0.25
[0f5bc9f]	43	self.model.dispersion['radius']['npts'] = 100
[18b89c4]	44	self.model.dispersion['radius']['nsigmas'] = 2.5
[0f5bc9f]	45
[dfa8832]	46	self.assertAlmostEqual(self.model.run(0.001), 1.021051*4527.47250339, 3)
[59b9b675]	47	self.assertAlmostEqual(self.model.runXY([0.001, 0.001]),
	48	1.021048*4546.997777604715, 2)
[0f5bc9f]	49
	50	def test_gaussian(self):
	51	from sans.models.dispersion_models import GaussianDispersion
	52	disp = GaussianDispersion()
	53	self.model.set_dispersion('radius', disp)
[59b9b675]	54	self.model.dispersion['radius']['width'] = 0.25
[0f5bc9f]	55	self.model.dispersion['radius']['npts'] = 100
[59b9b675]	56	self.model.dispersion['radius']['nsigmas'] = 2
[0f5bc9f]	57	self.model.setParam('scale', 10.0)
	58
[59b9b675]	59	self.assertAlmostEqual(self.model.run(0.001),
	60	1.1804794*4723.32213339, 3)
	61	self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
	62	1.180454*4743.56, 2)
[0f5bc9f]	63
[8809e48]	64	def test_clone(self):
	65	from sans.models.dispersion_models import GaussianDispersion
	66	disp = GaussianDispersion()
	67	self.model.set_dispersion('radius', disp)
[59b9b675]	68	self.model.dispersion['radius']['width'] = 0.25
[8809e48]	69	self.model.dispersion['radius']['npts'] = 100
[59b9b675]	70	self.model.dispersion['radius']['nsigmas'] = 2
[8809e48]	71	self.model.setParam('scale', 10.0)
	72
	73	new_model = self.model.clone()
[59b9b675]	74	self.assertAlmostEqual(new_model.run(0.001),
	75	1.1804794*4723.32213339, 3)
	76	self.assertAlmostEqual(new_model.runXY([0.001,0.001]),
	77	1.180454*4743.56, 2)
[8809e48]	78
[ae60f86]	79	def test_gaussian_zero(self):
	80	from sans.models.dispersion_models import GaussianDispersion
	81	disp = GaussianDispersion()
	82	self.model.set_dispersion('radius', disp)
	83	self.model.dispersion['radius']['width'] = 0.0
	84	self.model.dispersion['radius']['npts'] = 100
[18b89c4]	85	self.model.dispersion['radius']['nsigmas'] = 2.5
[ae60f86]	86	self.model.setParam('scale', 1.0)
	87
	88	self.assertAlmostEqual(self.model.run(0.001), 450.355, 3)
	89	self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 452.299, 3)
	90
[0f5bc9f]	91	def test_array(self):
	92	"""
	93	Perform complete rotational average and
	94	compare to 1D
	95	"""
	96	from sans.models.dispersion_models import ArrayDispersion
	97	disp_ph = ArrayDispersion()
	98	disp_th = ArrayDispersion()
	99
	100	values_ph = numpy.zeros(100)
	101	values_th = numpy.zeros(100)
	102	weights = numpy.zeros(100)
	103	for i in range(100):
[18b89c4]	104	values_ph[i]=(360/99.0*i)
	105	values_th[i]=(180/99.0*i)
[0f5bc9f]	106	weights[i]=(1.0)
	107
	108	disp_ph.set_weights(values_ph, weights)
	109	disp_th.set_weights(values_th, weights)
	110
	111	self.model.set_dispersion('cyl_theta', disp_th)
	112	self.model.set_dispersion('cyl_phi', disp_ph)
	113
	114	val_1d = self.model.run(math.sqrt(0.0002))
	115	val_2d = self.model.runXY([0.01,0.01])
	116
	117	self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02)
	118
	119	class TestCoreShellCylinder(unittest.TestCase):
	120	"""
	121	Testing C++ Cylinder model
	122	"""
	123	def setUp(self):
	124	from sans.models.CoreShellCylinderModel import CoreShellCylinderModel
	125	self.model= CoreShellCylinderModel()
	126
	127	self.model.setParam('scale', 1.0)
	128	self.model.setParam('radius', 20.0)
	129	self.model.setParam('thickness', 10.0)
	130	self.model.setParam('length', 400.0)
	131	self.model.setParam('core_sld', 1.e-6)
	132	self.model.setParam('shell_sld', 4.e-6)
	133	self.model.setParam('solvent_sld', 1.e-6)
	134	self.model.setParam('background', 0.0)
	135	self.model.setParam('axis_theta', 0.0)
	136	self.model.setParam('axis_phi', 0.0)
	137
	138	def test_simple(self):
	139	"""
	140	Test simple 1D and 2D values
	141	Numbers taken from model that passed validation, before
	142	the update to C++ underlying class.
	143	"""
	144	self.assertAlmostEqual(self.model.run(0.001), 353.55013216754583, 3)
[59b9b675]	145	self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
	146	355.25355270620543, 3)
[0f5bc9f]	147
	148	def test_dispersion(self):
	149	"""
	150	Test with dispersion
	151	"""
	152	from sans.models.DisperseModel import DisperseModel
[59b9b675]	153	disp = DisperseModel(self.model, ['radius',
	154	'thickness',
	155	'length'], [5, 2, 50])
[0f5bc9f]	156	disp.setParam('n_pts', 10)
	157	self.assertAlmostEqual(disp.run(0.001), 358.44062724936009, 3)
	158	self.assertAlmostEqual(disp.runXY([0.001,0.001]), 360.22673635224584, 3)
	159
	160	def test_new_disp(self):
	161	from sans.models.dispersion_models import GaussianDispersion
	162	disp_rm = GaussianDispersion()
	163	self.model.set_dispersion('radius', disp_rm)
[59b9b675]	164	self.model.dispersion['radius']['width'] = 0.25
[0f5bc9f]	165	self.model.dispersion['radius']['npts'] = 10
[59b9b675]	166	self.model.dispersion['radius']['nsigmas'] = 2
[0f5bc9f]	167
	168	disp_rr = GaussianDispersion()
	169	self.model.set_dispersion('thickness', disp_rr)
[59b9b675]	170	self.model.dispersion['thickness']['width'] = 0.2
[0f5bc9f]	171	self.model.dispersion['thickness']['npts'] = 10
[59b9b675]	172	self.model.dispersion['thickness']['nsigmas'] = 2
[0f5bc9f]	173
	174	disp_len = GaussianDispersion()
	175	self.model.set_dispersion('length', disp_len)
[59b9b675]	176	self.model.dispersion['length']['width'] = 1.0/8.0
[0f5bc9f]	177	self.model.dispersion['length']['npts'] = 10
[59b9b675]	178	self.model.dispersion['length']['nsigmas'] = 2
[0f5bc9f]	179
[59b9b675]	180	self.assertAlmostEqual(self.model.run(0.001),
	181	1.07832610*358.44062724936009, 3)
	182	self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
	183	1.07844010*360.22673635224584, 3)
[0f5bc9f]	184
	185
	186	def test_array(self):
	187	"""
	188	Perform complete rotational average and
	189	compare to 1D
	190	"""
	191	from sans.models.dispersion_models import ArrayDispersion
	192	disp_ph = ArrayDispersion()
	193	disp_th = ArrayDispersion()
	194
	195	values_ph = numpy.zeros(100)
	196	values_th = numpy.zeros(100)
	197	weights = numpy.zeros(100)
	198	for i in range(100):
[18b89c4]	199	values_ph[i]=(360/99.0*i)
	200	values_th[i]=(180/99.0*i)
[0f5bc9f]	201	weights[i]=(1.0)
	202
	203	disp_ph.set_weights(values_ph, weights)
	204	disp_th.set_weights(values_th, weights)
	205
	206	self.model.set_dispersion('axis_theta', disp_th)
	207	self.model.set_dispersion('axis_phi', disp_ph)
	208
	209	val_1d = self.model.run(math.sqrt(0.0002))
	210	val_2d = self.model.runXY([0.01,0.01])
	211
	212	self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02)
	213
	214
	215
	216	class TestCoreShell(unittest.TestCase):
	217	"""
	218	Testing C++ Cylinder model
	219	"""
	220	def setUp(self):
	221	from sans.models.CoreShellModel import CoreShellModel
	222	self.model= CoreShellModel()
	223
	224	self.model.setParam('scale', 1.0)
	225	self.model.setParam('radius', 60.0)
	226	self.model.setParam('thickness', 10.0)
	227	self.model.setParam('core_sld', 1.e-6)
	228	self.model.setParam('shell_sld', 2.e-6)
	229	self.model.setParam('solvent_sld', 3.e-6)
	230	self.model.setParam('background', 0.0)
	231
	232	def test_simple(self):
	233	"""
	234	Test simple 1D and 2D values
	235	Numbers taken from model that passed validation, before
	236	the update to C++ underlying class.
	237	"""
[59b9b675]	238	self.assertAlmostEqual(self.model.run(0.001),
	239	381.27304697150055, 3)
	240	self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
	241	380.93779156218682, 3)
[0f5bc9f]	242
	243	def test_dispersion(self):
	244	"""
	245	Test with dispersion
	246	"""
	247	from sans.models.DisperseModel import DisperseModel
	248	disp = DisperseModel(self.model, ['radius', 'thickness'], [10, 2])
	249	disp.setParam('n_pts', 10)
	250	self.assertAlmostEqual(disp.run(0.001), 407.344127907553, 3)
	251
	252	def test_new_disp(self):
	253	from sans.models.dispersion_models import GaussianDispersion
	254	disp_rm = GaussianDispersion()
	255	self.model.set_dispersion('radius', disp_rm)
[59b9b675]	256	self.model.dispersion['radius']['width'] = 0.1666666667
[0f5bc9f]	257	self.model.dispersion['radius']['npts'] = 10
[59b9b675]	258	self.model.dispersion['radius']['nsigmas'] = 2
[0f5bc9f]	259
	260	disp_rr = GaussianDispersion()
	261	self.model.set_dispersion('thickness', disp_rr)
[59b9b675]	262	self.model.dispersion['thickness']['width'] = 0.2
[0f5bc9f]	263	self.model.dispersion['thickness']['npts'] = 10
[59b9b675]	264	self.model.dispersion['thickness']['nsigmas'] = 2
[0f5bc9f]	265
[59b9b675]	266	self.assertAlmostEqual(self.model.run(0.001),
	267	1.16747510*407.344127907553, 3)
[0f5bc9f]	268
	269
	270	class TestEllipsoid(unittest.TestCase):
	271	"""
	272	Testing C++ Cylinder model
	273	"""
	274	def setUp(self):
	275	from sans.models.EllipsoidModel import EllipsoidModel
	276	self.model= EllipsoidModel()
	277
	278	self.model.setParam('scale', 1.0)
	279	self.model.setParam('radius_a', 20.0)
	280	self.model.setParam('radius_b', 400.0)
[18b89c4]	281	self.model.setParam('sldEll', 4.e-6)
	282	self.model.setParam('sldSolv', 1.e-6)
[0f5bc9f]	283	self.model.setParam('background', 0.0)
[18b89c4]	284	self.model.setParam('axis_theta', 89.95445)
[0f5bc9f]	285	self.model.setParam('axis_phi', 0.0)
	286
	287	def test_simple(self):
	288	"""
	289	Test simple 1D and 2D values
	290	Numbers taken from model that passed validation, before
	291	the update to C++ underlying class.
	292	"""
[59b9b675]	293	self.assertAlmostEqual(self.model.run(0.001),
	294	11808.842896863147, 3)
	295	self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
	296	11681.990374929677, 3)
[0f5bc9f]	297
	298	def test_dispersion(self):
	299	"""
	300	Test with dispersion
	301	"""
	302	from sans.models.DisperseModel import DisperseModel
	303	disp = DisperseModel(self.model, ['radius_a', 'radius_b'], [5, 50])
	304	disp.setParam('n_pts', 10)
[18b89c4]	305
[0f5bc9f]	306	self.assertAlmostEqual(disp.run(0.001), 11948.72581312305, 3)
	307	self.assertAlmostEqual(disp.runXY([0.001,0.001]), 11811.972359807551, 3)
	308
	309	def test_new_disp(self):
	310	from sans.models.dispersion_models import GaussianDispersion
	311	disp_rm = GaussianDispersion()
	312	self.model.set_dispersion('radius_a', disp_rm)
[59b9b675]	313	self.model.dispersion['radius_a']['width'] = 0.25
[0f5bc9f]	314	self.model.dispersion['radius_a']['npts'] = 10
[59b9b675]	315	self.model.dispersion['radius_a']['nsigmas'] = 2
[0f5bc9f]	316
	317	disp_rr = GaussianDispersion()
	318	self.model.set_dispersion('radius_b', disp_rr)
[59b9b675]	319	self.model.dispersion['radius_b']['width'] = 0.125
[0f5bc9f]	320	self.model.dispersion['radius_b']['npts'] = 10
[59b9b675]	321	self.model.dispersion['radius_b']['nsigmas'] = 2
[0f5bc9f]	322
[59b9b675]	323	self.assertAlmostEqual(self.model.run(0.001),
	324	1.10650710*11948.72581312305, 3)
	325	self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
	326	1.105898*11811.972359807551, 2)
[0f5bc9f]	327
	328	def test_array(self):
	329	"""
	330	Perform complete rotational average and
	331	compare to 1D
	332	"""
	333	from sans.models.dispersion_models import ArrayDispersion
	334	disp_ph = ArrayDispersion()
	335	disp_th = ArrayDispersion()
	336
	337	values_ph = numpy.zeros(100)
	338	values_th = numpy.zeros(100)
	339	weights = numpy.zeros(100)
	340	for i in range(100):
[18b89c4]	341	values_ph[i]=(360/99.0*i)
	342	values_th[i]=(180/99.0*i)
[0f5bc9f]	343	weights[i]=(1.0)
	344
	345	disp_ph.set_weights(values_ph, weights)
	346	disp_th.set_weights(values_th, weights)
	347
	348	self.model.set_dispersion('axis_theta', disp_th)
	349	self.model.set_dispersion('axis_phi', disp_ph)
	350
	351	val_1d = self.model.run(math.sqrt(0.0002))
	352	val_2d = self.model.runXY([0.01,0.01])
	353
	354	self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02)
	355
	356
	357
	358	class TestSphere(unittest.TestCase):
	359	"""
	360	Testing C++ Cylinder model
	361	"""
	362	def setUp(self):
	363	from sans.models.SphereModel import SphereModel
	364	self.model= SphereModel()
	365
	366	self.model.setParam('scale', 1.0)
	367	self.model.setParam('radius', 60.0)
[59b9b675]	368	self.model.setParam('sldSph', 2.0)
	369	self.model.setParam('sldSolv', 1.0)
[0f5bc9f]	370	self.model.setParam('background', 0.0)
	371
	372	def test_simple(self):
	373	"""
	374	Test simple 1D and 2D values
	375	Numbers taken from model that passed validation, before
	376	the update to C++ underlying class.
	377	"""
[59b9b675]	378	self.assertAlmostEqual(self.model.run(0.001),
[94ec93c]	379	90412744456148.094, 3)
[59b9b675]	380	self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
	381	90347660670656.391, 1)
[0f5bc9f]	382
	383	def test_dispersion(self):
	384	"""
	385	Test with dispersion
	386	"""
	387	from sans.models.DisperseModel import DisperseModel
	388	disp = DisperseModel(self.model, ['radius'], [10])
	389	disp.setParam('n_pts', 10)
[59b9b675]	390	disp.setParam('radius.npts', 10)
	391	disp.setParam('radius.nsigmas', 2.5)
[94ec93c]	392	self.assertEqual(disp.run(0.001), 96795008379475.219)
[0f5bc9f]	393
	394	def test_new_disp(self):
	395	from sans.models.dispersion_models import GaussianDispersion
	396	disp_rm = GaussianDispersion()
	397	self.model.set_dispersion('radius', disp_rm)
[59b9b675]	398	self.model.dispersion['radius']['width'] = 0.1666666667
[0f5bc9f]	399	self.model.dispersion['radius']['npts'] = 10
[59b9b675]	400	self.model.dispersion['radius']['nsigmas'] = 2
[0f5bc9f]	401
[59b9b675]	402	#self.assertAlmostEqual(self.model.run(0.001), 96795008379475.25,3)
[0f5bc9f]	403
	404
	405
	406	class TestEllipticalCylinder(unittest.TestCase):
	407	"""
	408	Testing C++ Cylinder model
	409	"""
	410	def setUp(self):
	411	from sans.models.EllipticalCylinderModel import EllipticalCylinderModel
	412	self.model= EllipticalCylinderModel()
	413
	414	self.model.setParam('scale', 1.0)
	415	self.model.setParam('r_minor', 20.0)
	416	self.model.setParam('r_ratio', 1.5)
	417	self.model.setParam('length', 400.0)
[18b89c4]	418	self.model.setParam('sldCyl', 4.0e-6)
	419	self.model.setParam('sldSolv', 1.0e-6)
[0f5bc9f]	420	self.model.setParam('background', 0.0)
[18b89c4]	421	self.model.setParam('cyl_theta', 90)
[0f5bc9f]	422	self.model.setParam('cyl_phi', 0.0)
	423	self.model.setParam('cyl_psi', 0.0)
	424
	425	def test_simple(self):
	426	"""
	427	Test simple 1D and 2D values
	428	Numbers taken from model that passed validation, before
	429	the update to C++ underlying class.
	430	"""
[59b9b675]	431	self.assertAlmostEqual(self.model.run(0.001),
	432	675.50440232504991, 3)
	433	self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
	434	669.5173937622792, 0)
[0f5bc9f]	435
	436	def test_dispersion(self):
	437	"""
	438	Test with dispersion
	439	"""
	440	from sans.models.DisperseModel import DisperseModel
[59b9b675]	441	disp = DisperseModel(self.model, ['r_minor', 'r_ratio', 'length'],
	442	[5, 0.25, 50])
[0f5bc9f]	443	disp.setParam('n_pts', 10)
	444	self.assertAlmostEqual(disp.run(0.001), 711.18048194151925, 3)
[18b89c4]	445	self.assertAlmostEqual(disp.runXY([0.001,0.001]), 704.63525988095705, 0)
[0f5bc9f]	446
	447	def test_new_disp(self):
	448	from sans.models.dispersion_models import GaussianDispersion
	449	disp_rm = GaussianDispersion()
	450	self.model.set_dispersion('r_minor', disp_rm)
[59b9b675]	451	self.model.dispersion['r_minor']['width'] = 0.25
[0f5bc9f]	452	self.model.dispersion['r_minor']['npts'] = 10
[59b9b675]	453	self.model.dispersion['r_minor']['nsigmas'] = 2
[0f5bc9f]	454
	455	disp_rr = GaussianDispersion()
	456	self.model.set_dispersion('r_ratio', disp_rr)
[59b9b675]	457	self.model.dispersion['r_ratio']['width'] = 0.25/1.5
[0f5bc9f]	458	self.model.dispersion['r_ratio']['npts'] = 10
[59b9b675]	459	self.model.dispersion['r_ratio']['nsigmas'] = 2
[0f5bc9f]	460
	461	disp_len = GaussianDispersion()
	462	self.model.set_dispersion('length', disp_len)
[59b9b675]	463	self.model.dispersion['length']['width'] = 50.0/400
[0f5bc9f]	464	self.model.dispersion['length']['npts'] = 10
[59b9b675]	465	self.model.dispersion['length']['nsigmas'] = 2
[0f5bc9f]	466
[59b9b675]	467	self.assertAlmostEqual(self.model.run(0.001),
	468	1.23925910*711.18048194151925, 3)
	469	self.assertAlmostEqual(self.model.runXY([0.001,0.001]),
	470	1.238955*704.63525988095705, 0)
[0f5bc9f]	471
	472
	473	def test_array(self):
	474	"""
	475	Perform complete rotational average and
	476	compare to 1D
	477	"""
	478	from sans.models.dispersion_models import ArrayDispersion
	479	disp_ph = ArrayDispersion()
	480	disp_th = ArrayDispersion()
	481	disp_ps = ArrayDispersion()
	482
	483	values_ph = numpy.zeros(100)
	484	values_th = numpy.zeros(100)
	485	values_ps = numpy.zeros(100)
	486	weights = numpy.zeros(100)
	487	for i in range(100):
[18b89c4]	488	values_ps[i]=(360/99.0*i)
	489	values_ph[i]=(360/99.0*i)
	490	values_th[i]=(180/99.0*i)
[0f5bc9f]	491	weights[i]=(1.0)
	492
	493	disp_ph.set_weights(values_ph, weights)
	494	disp_th.set_weights(values_th, weights)
	495	disp_ps.set_weights(values_ps, weights)
	496
	497	self.model.set_dispersion('cyl_theta', disp_th)
	498	self.model.set_dispersion('cyl_phi', disp_ph)
	499	self.model.set_dispersion('cyl_psi', disp_ps)
	500
	501	val_1d = self.model.run(math.sqrt(0.0002))
	502	val_2d = self.model.runXY([0.01,0.01])
	503
	504	self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02)
	505
[ae60f86]	506	class TestDispModel(unittest.TestCase):
	507	def setUp(self):
	508	from sans.models.CylinderModel import CylinderModel
	509	self.model = CylinderModel()
	510
	511
	512	def test_disp_params(self):
	513
	514	self.assertEqual(self.model.dispersion['radius']['width'], 0.0)
[59b9b675]	515	self.model.setParam('radius.width', 0.25)
	516	self.assertEqual(self.model.dispersion['radius']['width'], 0.25)
	517	self.assertEqual(self.model.getParam('radius.width'), 0.25)
[ae60f86]	518	self.assertEqual(self.model.dispersion['radius']['type'], 'gaussian')
[0f5bc9f]	519
	520
	521	if __name__ == '__main__':
	522	unittest.main()
	523

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SasView

source: sasview/sansmodels/test/utest_dispersity.py @ 4c712ea4

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