Index: st/pr_inversion/test/test_module.py
===================================================================
--- test/pr_inversion/test/test_module.py	(revision b699768550de9d4b35b087234ec1d2a461922bab)
+++ 	(revision )
@@ -1,27 +1,0 @@
-from sas.sascalc.pr.core.pr_inversion import Cinvertor
-import numpy
-
-c = Cinvertor()
-print c.__class__.__name__
-
-
-x = numpy.ones(3)
-print x.__class__.__name__
-print c.set_x(x)
-print c.set_y(x)
-print c.set_err(x)
-print c.is_valid()
-print c.set_dmax(60.0)
-p = numpy.ones(1)
-print c.residuals(p)
-
-
-
-v = numpy.zeros(0)
-v = numpy.append(v, 1.0)
-v = numpy.append(v, 2.0)
-print v[0], v[1]
-print len(v)
-
-
-print numpy.ndarray.
Index: test/sascalculator/test/utest_sas_gen.py
===================================================================
--- test/sascalculator/test/utest_sas_gen.py	(revision b699768550de9d4b35b087234ec1d2a461922bab)
+++ test/sascalculator/test/utest_sas_gen.py	(revision ef908db37c9eb600c4448e9e4633b500a40c6361)
@@ -7,5 +7,4 @@
 import unittest
 from sas.sascalc.calculator import sas_gen
-from sas.models.SphereModel import SphereModel
 
 import numpy
@@ -18,6 +17,5 @@
         self.sldloader = sas_gen.SLDReader()
         self.pdbloader = sas_gen.PDBReader()
-        self.omfloader = sas_gen.OMFReader() 
-        self.comp = SphereModel()
+        self.omfloader = sas_gen.OMFReader()
         
     def test_sldreader(self):
@@ -53,29 +51,4 @@
         self.assertEqual(output.pos_z[0], 0.0)
 
-"""      
-    def test_slda_and_run(self): # Works when sld reader uses loadtxt
-        sld_data = self.sldloader.read("sphere697_r30.sld")
-        # Generic computation  
-        model = sas_gen.GenSAS()
-        model.setParam('background', 0.0)
-        model.setParam('scale', 1.0)
-        model.setParam('Up_frac_in', 0.5)
-        model.setParam('Up_frac_out', 0.5)
-        model.setParam('Up_theta', 0.0)
-        x = numpy.array([0.01])
-        y = numpy.array([0.01])
-        model.set_sld_data(sld_data)
-        out_gen = model.runXY([x, y])
-        # Analytic computation
-        analy_model = self.comp
-        analy_model.setParam('background', 0.0)
-        analy_model.setParam('scale', 1.0)
-        analy_model.setParam('radius', 30.0)
-        analy_model.setParam('sldSolv', 0.0)
-        analy_model.setParam('sldSph', 6.97e-06) 
-        out_analy = analy_model.runXY([0.01, 0.01])
-        # Comparison
-        self.assertAlmostEqual(out_gen[0], out_analy, 1)
-"""   
 if __name__ == '__main__':
     unittest.main()
Index: st/sasdataloader/test/1000A_sphere_sm.xml
===================================================================
--- test/sasdataloader/test/1000A_sphere_sm.xml	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,476 +1,0 @@
-<?xml version="1.0"?>
-<SASroot xmlns="cansas1d/1.0" version="1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="cansas1d/1.0 http://svn.smallangles.net/svn/canSAS/1dwg/trunk/cansas1d.xsd">
-  <SASentry>
-    <Title>1000A Sphere Simulated USANS Data</Title>
-    <Run/>
-    <SASdata>
-      <Idata>
-        <Q unit="1/A">3.0525e-05</Q>
-        <I unit="1/cm">2.7793e+05</I>
-        <Idev unit="1/cm">3020.8</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">3.33e-05</Q>
-        <I unit="1/cm">2.8147e+05</I>
-        <Idev unit="1/cm">3015.1</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">3.885e-05</Q>
-        <I unit="1/cm">2.766e+05</I>
-        <Idev unit="1/cm">1501</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">4.44e-05</Q>
-        <I unit="1/cm">2.7115e+05</I>
-        <Idev unit="1/cm">1493.6</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">4.995e-05</Q>
-        <I unit="1/cm">2.6841e+05</I>
-        <Idev unit="1/cm">1485.2</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">5.55e-05</Q>
-        <I unit="1/cm">2.6448e+05</I>
-        <Idev unit="1/cm">1475.8</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">6.105e-05</Q>
-        <I unit="1/cm">2.6446e+05</I>
-        <Idev unit="1/cm">14655</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">6.66e-05</Q>
-        <I unit="1/cm">2.5808e+05</I>
-        <Idev unit="1/cm">1454.3</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">7.215e-05</Q>
-        <I unit="1/cm">2.558e+05</I>
-        <Idev unit="1/cm">1442.2</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">7.77e-05</Q>
-        <I unit="1/cm">2.4752e+05</I>
-        <Idev unit="1/cm">1429.2</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">8.325e-05</Q>
-        <I unit="1/cm">2.453e+05</I>
-        <Idev unit="1/cm">1415.3</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">8.88e-05</Q>
-        <I unit="1/cm">2.4054e+05</I>
-        <Idev unit="1/cm">1400.6</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">9.435e-05</Q>
-        <I unit="1/cm">2.3471e+05</I>
-        <Idev unit="1/cm">1385</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">9.99e-05</Q>
-        <I unit="1/cm">2.2819e+05</I>
-        <Idev unit="1/cm">13687</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.00010545</Q>
-        <I unit="1/cm">2.239e+05</I>
-        <Idev unit="1/cm">1351.5</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.000111</Q>
-        <I unit="1/cm">2.166e+05</I>
-        <Idev unit="1/cm">769.97</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0001221</Q>
-        <I unit="1/cm">2.0398e+05</I>
-        <Idev unit="1/cm">748.05</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0001332</Q>
-        <I unit="1/cm">1.9273e+05</I>
-        <Idev unit="1/cm">724.56</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0001443</Q>
-        <I unit="1/cm">1.7835e+05</I>
-        <Idev unit="1/cm">699.64</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0001554</Q>
-        <I unit="1/cm">1.6642e+05</I>
-        <Idev unit="1/cm">673.42</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0001665</Q>
-        <I unit="1/cm">1.5183e+05</I>
-        <Idev unit="1/cm">6460.6</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0001776</Q>
-        <I unit="1/cm">1.3884e+05</I>
-        <Idev unit="1/cm">617.69</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0001887</Q>
-        <I unit="1/cm">1.2706e+05</I>
-        <Idev unit="1/cm">588.49</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0001998</Q>
-        <I unit="1/cm">1.1493e+05</I>
-        <Idev unit="1/cm">558.61</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0002109</Q>
-        <I unit="1/cm">1.0191e+05</I>
-        <Idev unit="1/cm">528.21</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.000222</Q>
-        <I unit="1/cm">91251</I>
-        <Idev unit="1/cm">497.46</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0002331</Q>
-        <I unit="1/cm">79895</I>
-        <Idev unit="1/cm">466.55</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0002442</Q>
-        <I unit="1/cm">69495</I>
-        <Idev unit="1/cm">4356.1</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0002553</Q>
-        <I unit="1/cm">59637</I>
-        <Idev unit="1/cm">404.85</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0002664</Q>
-        <I unit="1/cm">50908</I>
-        <Idev unit="1/cm">374.42</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0002775</Q>
-        <I unit="1/cm">43129</I>
-        <Idev unit="1/cm">243.59</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.00030525</Q>
-        <I unit="1/cm">27529</I>
-        <Idev unit="1/cm">193.1</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.000333</Q>
-        <I unit="1/cm">15863</I>
-        <Idev unit="1/cm">147.72</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.00036075</Q>
-        <I unit="1/cm">8965.4</I>
-        <Idev unit="1/cm">109.87</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0003885</Q>
-        <I unit="1/cm">5132.7</I>
-        <Idev unit="1/cm">826.83</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.00041625</Q>
-        <I unit="1/cm">3514.3</I>
-        <Idev unit="1/cm">69.119</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.000444</Q>
-        <I unit="1/cm">3347.5</I>
-        <Idev unit="1/cm">67.988</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.00047175</Q>
-        <I unit="1/cm">3801.3</I>
-        <Idev unit="1/cm">72.844</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0004995</Q>
-        <I unit="1/cm">4566.8</I>
-        <Idev unit="1/cm">77.805</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.00052725</Q>
-        <I unit="1/cm">4822.4</I>
-        <Idev unit="1/cm">80.065</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.000555</Q>
-        <I unit="1/cm">4516.9</I>
-        <Idev unit="1/cm">55.708</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0006105</Q>
-        <I unit="1/cm">3275.1</I>
-        <Idev unit="1/cm">472.47</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.000666</Q>
-        <I unit="1/cm">1697</I>
-        <Idev unit="1/cm">34.247</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0007215</Q>
-        <I unit="1/cm">880.96</I>
-        <Idev unit="1/cm">24.356</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.000777</Q>
-        <I unit="1/cm">803.05</I>
-        <Idev unit="1/cm">23.606</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0008325</Q>
-        <I unit="1/cm">1014.2</I>
-        <Idev unit="1/cm">26.645</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.000888</Q>
-        <I unit="1/cm">1066.2</I>
-        <Idev unit="1/cm">26.82</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0009435</Q>
-        <I unit="1/cm">772.29</I>
-        <Idev unit="1/cm">23.066</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.000999</Q>
-        <I unit="1/cm">465.43</I>
-        <Idev unit="1/cm">175.71</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0010545</Q>
-        <I unit="1/cm">309.6</I>
-        <Idev unit="1/cm">14.287</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.00111</Q>
-        <I unit="1/cm">345.28</I>
-        <Idev unit="1/cm">11.656</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.001221</Q>
-        <I unit="1/cm">414.17</I>
-        <Idev unit="1/cm">12.599</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.001332</Q>
-        <I unit="1/cm">178.79</I>
-        <Idev unit="1/cm">8.4835</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.001443</Q>
-        <I unit="1/cm">171</I>
-        <Idev unit="1/cm">8.3838</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.001554</Q>
-        <I unit="1/cm">184.12</I>
-        <Idev unit="1/cm">8.5329</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.001665</Q>
-        <I unit="1/cm">87.754</I>
-        <Idev unit="1/cm">59.424</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.001776</Q>
-        <I unit="1/cm">95.545</I>
-        <Idev unit="1/cm">6.4447</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.001887</Q>
-        <I unit="1/cm">88.574</I>
-        <Idev unit="1/cm">6.151</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.001998</Q>
-        <I unit="1/cm">57.819</I>
-        <Idev unit="1/cm">4.5293</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.002109</Q>
-        <I unit="1/cm">75.042</I>
-        <Idev unit="1/cm">5.1544</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.00222</Q>
-        <I unit="1/cm">51.668</I>
-        <Idev unit="1/cm">4.6394</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.002331</Q>
-        <I unit="1/cm">32.395</I>
-        <Idev unit="1/cm">3.6677</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.002442</Q>
-        <I unit="1/cm">37.316</I>
-        <Idev unit="1/cm">42.219</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.002553</Q>
-        <I unit="1/cm">29.115</I>
-        <Idev unit="1/cm">3.5983</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.002664</Q>
-        <I unit="1/cm">24.194</I>
-        <Idev unit="1/cm">3.0959</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.002775</Q>
-        <I unit="1/cm">27.064</I>
-        <Idev unit="1/cm">2.8672</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0030525</Q>
-        <I unit="1/cm">18.59</I>
-        <Idev unit="1/cm">2.3989</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.00333</Q>
-        <I unit="1/cm">8.4747</I>
-        <Idev unit="1/cm">1.9713</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0036075</Q>
-        <I unit="1/cm">10.388</I>
-        <Idev unit="1/cm">1.6403</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.003885</Q>
-        <I unit="1/cm">8.4747</I>
-        <Idev unit="1/cm">14.205</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0041625</Q>
-        <I unit="1/cm">6.0143</I>
-        <Idev unit="1/cm">1.3393</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.00444</Q>
-        <I unit="1/cm">4.374</I>
-        <Idev unit="1/cm">1.2822</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0047175</Q>
-        <I unit="1/cm">4.6474</I>
-        <Idev unit="1/cm">1.2226</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.004995</Q>
-        <I unit="1/cm">3.8273</I>
-        <Idev unit="1/cm">1.1598</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-      <Idata>
-        <Q unit="1/A">0.0052725</Q>
-        <I unit="1/cm">5.4676</I>
-        <Idev unit="1/cm">1.0588</Idev>
-        <dQl>0.117</dQl>
-      </Idata>
-    </SASdata>
-    <SASsample>
-      <ID>X1000A_mod</ID>
-    </SASsample>
-    <SASinstrument>
-      <name>NIST IGOR Procedures</name>
-      <SASsource>
-        <radiation>neutron</radiation>
-      </SASsource>
-      <SAScollimation/>
-      <SASdetector>
-        <name>Re-written data</name>
-      </SASdetector>
-    </SASinstrument>
-    <SASprocess name="NIST IGOR">
-      <SASprocessnote>Modified data written from folder X1000A_mod on Wed, May 26, 2010 3:00:24 PM</SASprocessnote>
-    </SASprocess>
-    <SASnote/>
-  </SASentry>
-</SASroot>
Index: st/sasdataloader/test/CMSphere5.txt
===================================================================
--- test/sasdataloader/test/CMSphere5.txt	(revision fc18690cd84cc4dd6e33a9d344f47b08cef71290)
+++ 	(revision )
@@ -1,100 +1,0 @@
-0.001278	54.9380924003798	37.0601175120843	0.0002847	0.001309	0.9969
-0.001562	55.9867418157196	18.7060721785266	0.0002905	0.001586	1
-0.001846	53.560827622232	12.1975438809796	0.0002956	0.001866	1
-0.00213	56.0611368219615	9.35924816875345	0.0003017	0.002147	1
-0.002414	54.9105450986387	7.41016498457617	0.0003087	0.002429	1
-0.002698	52.6206676026623	6.045008707986	0.0003165	0.002712	1
-0.002982	54.3487185926871	5.26582738584293	0.0003249	0.002994	1
-0.003266	53.1519252869778	4.55658543376789	0.000334	0.003277	1
-0.00355	50.3956985471045	3.94388487999297	0.0003437	0.00356	1
-0.003834	52.3077243923509	3.61620396245673	0.0003539	0.003843	1
-0.004118	48.9775315111468	3.18108860178174	0.0003646	0.004127	1
-0.004402	47.851863958769	2.88229340467268	0.0003757	0.00441	1
-0.004686	48.120403795601	2.66803353208751	0.0003872	0.004694	1
-0.00497	46.6358007278057	2.43894320769947	0.000399	0.004977	1
-0.005253	46.7096327873935	2.27814819504774	0.0004112	0.005261	1
-0.005537	44.7668346304486	2.0908757003657	0.0004237	0.005544	1
-0.005821	44.5102618760759	1.9622356317224	0.0004365	0.005828	1
-0.006105	43.8317929116779	1.83904398707451	0.0004495	0.006111	1
-0.006389	42.8115820491762	1.7218568467313	0.0004628	0.006395	1
-0.006673	40.6287017456067	1.59351619354822	0.0004762	0.006679	1
-0.006957	38.9273825772724	1.48551934346209	0.0004899	0.006963	1
-0.007241	39.4347686851588	1.42720701725474	0.0005037	0.007246	1
-0.007525	37.3896037689509	1.32928345624222	0.0005177	0.00753	1
-0.007809	35.6306787321893	1.24357164292396	0.0005318	0.007814	1
-0.008093	35.530501695638	1.19214934795332	0.0005461	0.008098	1
-0.008377	34.0993161167952	1.12297345606099	0.0005605	0.008381	1
-0.008661	32.9897133648153	1.06364208149705	0.000575	0.008665	1
-0.008945	32.1518950821748	1.01254716257906	0.0005896	0.008949	1
-0.009229	29.8897142444819	0.942611834366517	0.0006044	0.009233	1
-0.009513	28.9877911868164	0.897338521326267	0.0006192	0.009517	1
-0.009797	28.8671346812142	0.866582969308467	0.0006341	0.0098	1
-0.01008	26.9433496519676	0.811046621571466	0.0006491	0.01008	1
-0.01036	26.6574283650013	0.782285336779699	0.0006641	0.01037	1
-0.01065	24.3082221946571	0.725049547803642	0.0006793	0.01065	1
-0.01093	23.8126250954449	0.697116877376645	0.0006945	0.01094	1
-0.01122	23.1785075655241	0.668667535089826	0.0007097	0.01122	1
-0.0115	21.9740009615986	0.633465328879644	0.0007251	0.0115	1
-0.01178	20.6925854394778	0.59854083649735	0.0007404	0.01179	1
-0.01207	19.7807301988479	0.570199138755696	0.0007558	0.01207	1
-0.01235	18.3816218241588	0.535922420693967	0.0007713	0.01235	1
-0.01264	18.3908707649353	0.522982665113434	0.0007868	0.01264	1
-0.01292	16.6161700838934	0.485273055949626	0.0008024	0.01292	1
-0.0132	16.0777395370208	0.466244845015208	0.000818	0.01321	1
-0.01349	15.263459197006	0.443959969486881	0.0008336	0.01349	1
-0.01377	14.1821386233677	0.418435336883356	0.0008493	0.01377	1
-0.01406	13.502938686688	0.399416793154326	0.000865	0.01406	1
-0.01434	12.7120240406905	0.379297079863246	0.0008807	0.01434	1
-0.01462	12.3555872971682	0.366151201613803	0.0008965	0.01463	1
-0.01491	11.2547046019901	0.342326858530752	0.0009123	0.01491	1
-0.01519	10.9244250567462	0.330521180210077	0.0009281	0.01519	1
-0.01547	10.035672955121	0.310579708660702	0.000944	0.01548	1
-0.01576	9.54857095265672	0.297122712018445	0.0009598	0.01576	1
-0.01604	9.13262277183969	0.285096505677118	0.0009757	0.01604	1
-0.01633	8.08125471450095	0.263218034782734	0.0009916	0.01633	1
-0.01661	7.81396931095573	0.25412252707745	0.001008	0.01661	1
-0.01689	7.15622633154717	0.238849321076674	0.001024	0.0169	1
-0.01718	6.58315875573461	0.225067254333071	0.001039	0.01718	1
-0.01746	6.43230960958337	0.218637916921313	0.001055	0.01746	1
-0.01774	5.90542211293399	0.205941307480525	0.001071	0.01775	1
-0.01803	5.4581186471037	0.194688473505747	0.001088	0.01803	1
-0.01831	5.22827912984443	0.187421561660762	0.001104	0.01831	1
-0.0186	4.88437306640718	0.178230788618277	0.00112	0.0186	1
-0.01888	4.42899966633438	0.167025306994807	0.001136	0.01888	1
-0.01916	4.17549684846924	0.159640879027805	0.001152	0.01917	1
-0.01945	3.78069785571845	0.149569359258851	0.001168	0.01945	1
-0.01973	3.57736677843592	0.143287334425684	0.001184	0.01973	1
-0.02002	3.32715311708635	0.136123026207964	0.0012	0.02002	1
-0.0203	3.0976943461779	0.129413735491718	0.001216	0.0203	1
-0.02058	2.8778429506358	0.122929031089926	0.001232	0.02058	1
-0.02087	2.59549794256613	0.115075351147255	0.001249	0.02087	1
-0.02115	2.34203393868523	0.107772572065675	0.001265	0.02115	1
-0.02143	2.23234126433142	0.103757094440139	0.001281	0.02144	1
-0.02172	2.06670267290386	0.0984659657480468	0.001297	0.02172	1
-0.022	1.96040951516539	0.0946044762011819	0.001313	0.022	1
-0.02228	1.77196064410215	0.088743341386574	0.001329	0.02229	1
-0.02257	1.63708077448337	0.0841766166945712	0.001346	0.02257	1
-0.02285	1.53159863781081	0.0803621902602349	0.001362	0.02285	1
-0.02314	1.42479800116411	0.0765159633096708	0.001378	0.02314	1
-0.02342	1.34419916363248	0.073379495822172	0.001394	0.02342	1
-0.0237	1.28950309519543	0.0709726811217327	0.001411	0.0237	1
-0.02399	1.18575259309099	0.0672174491013361	0.001427	0.02399	1
-0.02427	1.11661367746353	0.0644328918452755	0.001443	0.02427	1
-0.02455	1.03725820906637	0.0613529362624028	0.001459	0.02456	1
-0.02484	0.963936666624243	0.0584406406908292	0.001476	0.02484	1
-0.02512	0.946666784713813	0.0572334134481483	0.001492	0.02512	1
-0.02541	0.85517174555837	0.0537648235548803	0.001508	0.02541	1
-0.02569	0.837653826942447	0.0525996725094271	0.001524	0.02569	1
-0.02597	0.779716006334579	0.0501713234228845	0.001541	0.02597	1
-0.02626	0.758831276438753	0.0489387203301556	0.001557	0.02626	1
-0.02654	0.737853170893451	0.0477213222943686	0.001573	0.02654	1
-0.02682	0.683436680838241	0.0454232028983561	0.00159	0.02682	1
-0.02711	0.687265505181365	0.0450551510778741	0.001606	0.02711	1
-0.02739	0.655078310492671	0.0435144667607471	0.001622	0.02739	1
-0.02767	0.638970027703769	0.0425189366016694	0.001639	0.02767	1
-0.02796	0.60633272894638	0.0409828262439632	0.001655	0.02796	1
-0.02824	0.604236153070516	0.0404857440009898	0.001671	0.02824	1
-0.02852	0.56286255473902	0.0386722507332448	0.001688	0.02853	1
-0.02881	0.568578929096012	0.0384715167864823	0.001704	0.02881	1
-0.02909	0.55573597175355	0.0376503540172005	0.00172	0.02909	1
-0.02937	0.534835145987317	0.0365662120675398	0.001737	0.02938	1
Index: st/sasdataloader/test/CMSphere5smearsphere.txt
===================================================================
--- test/sasdataloader/test/CMSphere5smearsphere.txt	(revision fc18690cd84cc4dd6e33a9d344f47b08cef71290)
+++ 	(revision )
@@ -1,100 +1,0 @@
-0.001278 2538.41176383
-0.001562 2536.91820405
-0.001846 2535.13182479
-0.00213 2533.06217813
-0.002414 2530.70378586
-0.002698 2528.05024192
-0.002982 2525.10408349
-0.003266 2521.86667499
-0.00355 2518.3390775
-0.003834 2514.52246995
-0.004118 2510.41798319
-0.004402 2506.02690988
-0.004686 2501.35067884
-0.00497 2496.38678318
-0.005253 2491.16237596
-0.005537 2485.63911673
-0.005821 2479.83657083
-0.006105 2473.75676948
-0.006389 2467.4014599
-0.006673 2460.77293372
-0.006957 2453.86724627
-0.007241 2446.69623838
-0.007525 2439.25775219
-0.007809 2431.55421398
-0.008093 2423.58785521
-0.008377 2415.36158137
-0.008661 2406.87009473
-0.008945 2398.12841186
-0.009229 2389.13360806
-0.009513 2379.88958042
-0.009797 2370.39776774
-0.01008 2360.69528793
-0.01036 2350.85169027
-0.01065 2340.42023633
-0.01093 2330.11206013
-0.01122 2319.20109972
-0.0115 2308.43503981
-0.01178 2297.44820179
-0.01207 2285.83853677
-0.01235 2274.41290746
-0.01264 2262.36219581
-0.01292 2250.51169731
-0.0132 2238.45596231
-0.01349 2225.76495666
-0.01377 2213.29618391
-0.01406 2200.19110751
-0.01434 2187.34050325
-0.01462 2174.30529864
-0.01491 2160.61632548
-0.01519 2147.21038112
-0.01547 2133.6202358
-0.01576 2119.37907426
-0.01604 2105.45234903
-0.01633 2090.86319102
-0.01661 2076.60576032
-0.01689 2062.19214565
-0.01718 2047.10550219
-0.01746 2032.38715621
-0.01774 2017.52560123
-0.01803 2001.99124318
-0.01831 1986.8466206
-0.0186 1971.03389745
-0.01888 1955.61395119
-0.01916 1940.08291563
-0.01945 1923.87672225
-0.01973 1908.10656374
-0.02002 1891.66297192
-0.0203 1875.66789021
-0.02058 1859.56357196
-0.02087 1842.7946829
-0.02115 1826.50064489
-0.02143 1810.11533702
-0.02172 1793.06840882
-0.022 1776.5115358
-0.02228 1759.87201249
-0.02257 1742.57354412
-0.02285 1725.79397319
-0.02314 1708.3583155
-0.02342 1691.45256069
-0.0237 1674.48561783
-0.02399 1656.86525366
-0.02427 1639.79847285
-0.02455 1622.68887088
-0.02484 1604.964211
-0.02512 1587.85768129
-0.02541 1569.99297335
-0.02569 1552.84580279
-0.02597 1535.54074115
-0.02626 1517.75249337
-0.02654 1500.40115023
-0.02682 1483.03632237
-0.02711 1465.05942429
-0.02739 1447.67682181
-0.02767 1430.46495191
-0.02796 1412.49232282
-0.02824 1395.13182318
-0.02852 1377.93439837
-0.02881 1359.99528971
-0.02909 1342.67274512
-0.02937 1325.55375609
Index: st/sasdataloader/test/PolySpheres.txt
===================================================================
--- test/sasdataloader/test/PolySpheres.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,128 +1,0 @@
-0.003	5.58459588740281	1.18158747955905
-0.0031098987853131	5.58031083426704	0.590567038651574
-0.00322382348496395	5.57570963566376	0.393549009924917
-0.00334192157998441	5.57076925142489	0.295030963719936
-0.00346434595406838	5.56546500626888	0.235912377934454
-0.00359125509148719	5.55977048060564	0.19649304625464
-0.00372281328225516	5.55365739513176	0.168329993494493
-0.00385919083481093	5.54709548904188	0.147201704317816
-0.00400056429648997	5.54005239171167	0.130762866039685
-0.0041471166820737	5.53249348774542	0.117606265646706
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-0.00445652405151833	5.51567771787968	0.0978561667516099
-0.00461977957817848	5.50633908908146	0.0902522688095343
-0.00478901563286383	5.49632081142928	0.0837294051088642
-0.00496445129982955	5.48557478857245	0.078071013176555
-0.00514631368902864	5.47404973182027	0.0731146475833039
-0.00533483823011677	5.46169098134419	0.0687360616971425
-0.00553026897722733	5.44844032277542	0.0648385954423108
-0.00573285892491132	5.43423580009968	0.0613459142176948
-0.00594287033565102	5.41901152598558	0.0581969260678001
-0.00616057507937144	5.40269749095603	0.0553421510214438
-0.00638625498538912	5.38521937312758	0.0527410805447586
-0.00662020220725377	5.36649835060511	0.0503602257700007
-0.00686271960095519	5.34645091903489	0.0481716536085972
-0.00711412111698497	5.32498871729341	0.0461518741430656
-0.00737473220676059	5.30201836482721	0.0442809847258853
-0.00764489024393804	5.27744131476757	0.042542004235883
-0.00792494496115828	5.25115372762826	0.0409203499581539
-0.00821525890279309	5.22304637115972	0.0394034226678704
-0.00851620789427627	5.19300455278556	0.0379802746786099
-0.00882818152862785	5.16090809198815	0.0366413421311323
-0.00915158367080108	5.12663134104523	0.0353782274817065
-0.00948683298050514	5.09004326364579	0.0341835215553371
-0.00983436345418038	5.05100758213086	0.0330506570341895
-0.0101946249868277	5.00938300540588	0.0319737871126917
-0.0105680839544193	4.96502355094501	0.0309476844470793
-0.0109552238176451	4.91777897573675	0.0299676565842223
-0.0113565457477759	4.86749533247943	0.0290294748617302
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-0.0126508951028575	4.69683079612906	0.0264294791858833
-0.0131143344378333	4.6328053442061	0.0256237530646399
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-0.0140927664501195	4.49309801395011	0.0240874193815478
-0.0146090257549759	4.41711132638873	0.0233521387879979
-0.0151441971500024	4.33684394690402	0.0226359679441049
-0.0156989734404448	4.25216401320184	0.0219369957054209
-0.016274072811034	4.16295283440202	0.02125345364705
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-0.0194814489472863	3.64613830713778	0.0180140226300296
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-0.0233209509071633	3.01249783077841	0.0149625419902677
-0.0241752656328445	2.87330807557354	0.014365114415782
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-0.03	1.98436411914945	0.0108359584355028
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-0.0359125509148719	1.24971202201179	0.00798503709757077
-0.0372281328225516	1.11401526949531	0.00743288181473221
-0.0385919083481093	0.984295305704227	0.00688969846309937
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-0.0478901563286383	0.374731660262486	0.00392405960261756
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-0.28939848597336	0.000166411797938958	5.03908972162823e-05
Index: st/sasdataloader/test/_THETA_weights.txt
===================================================================
--- test/sasdataloader/test/_THETA_weights.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,1000 +1,0 @@
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-1.48432  0.332338
-1.48589  0.331563
-1.48746  0.330789
-1.48904  0.330016
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-1.49533  0.326933
-1.4969  0.326165
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-1.50004  0.324631
-1.50162  0.323866
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-1.51105  0.319296
-1.51262  0.318538
-1.51419  0.317781
-1.51577  0.317025
-1.51734  0.31627
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-1.52992  0.310266
-1.53149  0.30952
-1.53306  0.308775
-1.53464  0.308032
-1.53621  0.307289
-1.53778  0.306547
-1.53935  0.305806
-1.54092  0.305067
-1.5425  0.304328
-1.54407  0.30359
-1.54564  0.302854
-1.54721  0.302118
-1.54879  0.301384
-1.55036  0.300651
-1.55193  0.299918
-1.5535  0.299187
-1.55508  0.298456
-1.55665  0.297727
-1.55822  0.296999
-1.55979  0.296272
-1.56137  0.295546
-1.56294  0.294821
-1.56451  0.294097
-1.56608  0.293374
-1.56766  0.292652
-1.56923  0.291931
-1.5708  0.291211
Index: st/sasdataloader/test/latex_smeared.xml
===================================================================
--- test/sasdataloader/test/latex_smeared.xml	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,885 +1,0 @@
-<?xml version="1.0"?>
-
-<?xml-stylesheet type="text/xsl" href="example.xsl" ?>
-
-<SASroot version="1.0"
-
-    xmlns="cansas1d/1.0"
-
-    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-
-    xsi:schemaLocation="cansas1d/1.0 http://svn.smallangles.net/svn/canSAS/1dwg/trunk/cansas1d.xsd"
-
-    >
-
-	<SASentry>
-
-		<Title>latex particles 0.5micron diameter in D2O Qdev</Title>
-
-		<Run>latex_sans</Run>
-
-		<SASdata>
-
-			<Idata><Q unit="1/A">0.003797</Q><I unit="1/cm">4006.05896074137</I><Idev unit="1/cm">160.350516888371</Idev><Qdev unit="1/A">0.00109</Qdev><Qmean unit="1/A">0.003945</Qmean><Shadowfactor>0.9956</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.004197</Q><I unit="1/cm">1594.1292143245</I><Idev unit="1/cm">144.193913580953</Idev><Qdev unit="1/A">0.001093</Qdev><Qmean unit="1/A">0.004328</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.004596</Q><I unit="1/cm">772.577974895497</I><Idev unit="1/cm">47.4452686423936</Idev><Qdev unit="1/A">0.001096</Qdev><Qmean unit="1/A">0.004716</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.004996</Q><I unit="1/cm">491.192789065555</I><Idev unit="1/cm">1.64212795726675</Idev><Qdev unit="1/A">0.0011</Qdev><Qmean unit="1/A">0.005106</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.005396</Q><I unit="1/cm">339.222462507531</I><Idev unit="1/cm">18.6638380002217</Idev><Qdev unit="1/A">0.001105</Qdev><Qmean unit="1/A">0.005498</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.005795</Q><I unit="1/cm">234.025331038665</I><Idev unit="1/cm">10.9659413510261</Idev><Qdev unit="1/A">0.001111</Qdev><Qmean unit="1/A">0.00589</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.006195</Q><I unit="1/cm">167.755826933366</I><Idev unit="1/cm">14.4727399222556</Idev><Qdev unit="1/A">0.001117</Qdev><Qmean unit="1/A">0.006284</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.006595</Q><I unit="1/cm">127.184502137658</I><Idev unit="1/cm">11.3388420587577</Idev><Qdev unit="1/A">0.001124</Qdev><Qmean unit="1/A">0.006678</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.006995</Q><I unit="1/cm">97.8743226629875</I><Idev unit="1/cm">7.72496924983092</Idev><Qdev unit="1/A">0.001131</Qdev><Qmean unit="1/A">0.007073</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.007394</Q><I unit="1/cm">75.7387226323965</I><Idev unit="1/cm">1.28726671212578</Idev><Qdev unit="1/A">0.00114</Qdev><Qmean unit="1/A">0.007468</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.007794</Q><I unit="1/cm">59.9674693155301</I><Idev unit="1/cm">5.66729694206856</Idev><Qdev unit="1/A">0.001148</Qdev><Qmean unit="1/A">0.007864</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.008194</Q><I unit="1/cm">48.5642877717183</I><Idev unit="1/cm">0.775068066134696</Idev><Qdev unit="1/A">0.001157</Qdev><Qmean unit="1/A">0.008261</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.008593</Q><I unit="1/cm">39.562368466145</I><Idev unit="1/cm">2.99469690504217</Idev><Qdev unit="1/A">0.001167</Qdev><Qmean unit="1/A">0.008657</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.008993</Q><I unit="1/cm">32.4131561966359</I><Idev unit="1/cm">0.112809624406009</Idev><Qdev unit="1/A">0.001177</Qdev><Qmean unit="1/A">0.009054</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.009393</Q><I unit="1/cm">26.9845122194651</I><Idev unit="1/cm">1.7559522605892</Idev><Qdev unit="1/A">0.001187</Qdev><Qmean unit="1/A">0.009451</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.009792</Q><I unit="1/cm">22.7193453130392</I><Idev unit="1/cm">1.70872993541491</Idev><Qdev unit="1/A">0.001198</Qdev><Qmean unit="1/A">0.009848</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01019</Q><I unit="1/cm">19.1396044557923</I><Idev unit="1/cm">0.870622123390108</Idev><Qdev unit="1/A">0.001209</Qdev><Qmean unit="1/A">0.01025</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01059</Q><I unit="1/cm">16.3106897029038</I><Idev unit="1/cm">1.2784566380161</Idev><Qdev unit="1/A">0.00122</Qdev><Qmean unit="1/A">0.01064</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01099</Q><I unit="1/cm">13.9942384293878</I><Idev unit="1/cm">1.09311729425028</Idev><Qdev unit="1/A">0.001232</Qdev><Qmean unit="1/A">0.01104</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01139</Q><I unit="1/cm">12.0788620780442</I><Idev unit="1/cm">0.321912704167634</Idev><Qdev unit="1/A">0.001244</Qdev><Qmean unit="1/A">0.01144</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01179</Q><I unit="1/cm">10.4538680640273</I><Idev unit="1/cm">0.826219886472332</Idev><Qdev unit="1/A">0.001257</Qdev><Qmean unit="1/A">0.01184</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01219</Q><I unit="1/cm">9.1009265046415</I><Idev unit="1/cm">0.719848600677436</Idev><Qdev unit="1/A">0.00127</Qdev><Qmean unit="1/A">0.01224</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01259</Q><I unit="1/cm">8.00642412230866</I><Idev unit="1/cm">0.684722867161744</Idev><Qdev unit="1/A">0.001283</Qdev><Qmean unit="1/A">0.01263</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01299</Q><I unit="1/cm">7.0456897705157</I><Idev unit="1/cm">0.166699720295245</Idev><Qdev unit="1/A">0.001296</Qdev><Qmean unit="1/A">0.01303</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01339</Q><I unit="1/cm">6.21724872865112</I><Idev unit="1/cm">0.153868634641546</Idev><Qdev unit="1/A">0.00131</Qdev><Qmean unit="1/A">0.01343</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01374</Q><I unit="1/cm">6.74668413666121</I><Idev unit="1/cm">0.184975656820248</Idev><Qdev unit="1/A">0.002327</Qdev><Qmean unit="1/A">0.01391</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01379</Q><I unit="1/cm">5.51301078640481</I><Idev unit="1/cm">0.118762537848476</Idev><Qdev unit="1/A">0.001324</Qdev><Qmean unit="1/A">0.01383</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01419</Q><I unit="1/cm">4.91258237718056</I><Idev unit="1/cm">0.176969813745123</Idev><Qdev unit="1/A">0.001338</Qdev><Qmean unit="1/A">0.01423</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01459</Q><I unit="1/cm">4.38999875927883</I><Idev unit="1/cm">0.311353476052822</Idev><Qdev unit="1/A">0.001353</Qdev><Qmean unit="1/A">0.01463</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01499</Q><I unit="1/cm">3.94346403459969</I><Idev unit="1/cm">0.387860159730271</Idev><Qdev unit="1/A">0.001367</Qdev><Qmean unit="1/A">0.01502</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01505</Q><I unit="1/cm">4.50082504231816</I><Idev unit="1/cm">0.0139779788973798</Idev><Qdev unit="1/A">0.002353</Qdev><Qmean unit="1/A">0.01521</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01539</Q><I unit="1/cm">3.54650814465845</I><Idev unit="1/cm">0.231354575544875</Idev><Qdev unit="1/A">0.001382</Qdev><Qmean unit="1/A">0.01542</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01579</Q><I unit="1/cm">3.20079465045656</I><Idev unit="1/cm">0.236881998414208</Idev><Qdev unit="1/A">0.001397</Qdev><Qmean unit="1/A">0.01582</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01619</Q><I unit="1/cm">2.89569892696003</I><Idev unit="1/cm">0.0558838715831364</Idev><Qdev unit="1/A">0.001413</Qdev><Qmean unit="1/A">0.01622</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01636</Q><I unit="1/cm">3.14491132919071</I><Idev unit="1/cm">0.286903957843761</Idev><Qdev unit="1/A">0.002381</Qdev><Qmean unit="1/A">0.0165</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01659</Q><I unit="1/cm">2.62598011992341</I><Idev unit="1/cm">0.0778103209577416</Idev><Qdev unit="1/A">0.001429</Qdev><Qmean unit="1/A">0.01662</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01699</Q><I unit="1/cm">2.38848351112502</I><Idev unit="1/cm">0.123003804813548</Idev><Qdev unit="1/A">0.001444</Qdev><Qmean unit="1/A">0.01702</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01738</Q><I unit="1/cm">2.17876187277835</I><Idev unit="1/cm">0.177344328232719</Idev><Qdev unit="1/A">0.001461</Qdev><Qmean unit="1/A">0.01742</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01767</Q><I unit="1/cm">2.26908817318902</I><Idev unit="1/cm">0.171479862774944</Idev><Qdev unit="1/A">0.002411</Qdev><Qmean unit="1/A">0.0178</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01778</Q><I unit="1/cm">1.99127729706612</I><Idev unit="1/cm">0.0776180412490532</Idev><Qdev unit="1/A">0.001477</Qdev><Qmean unit="1/A">0.01782</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01818</Q><I unit="1/cm">1.82791800631361</I><Idev unit="1/cm">0.0244195325473987</Idev><Qdev unit="1/A">0.001493</Qdev><Qmean unit="1/A">0.01821</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01858</Q><I unit="1/cm">1.67848509472461</I><Idev unit="1/cm">0.0887006173311792</Idev><Qdev unit="1/A">0.00151</Qdev><Qmean unit="1/A">0.01861</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01898</Q><I unit="1/cm">1.68661526173643</I><Idev unit="1/cm">0.0465056210763128</Idev><Qdev unit="1/A">0.002444</Qdev><Qmean unit="1/A">0.0191</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01898</Q><I unit="1/cm">1.68661526173643</I><Idev unit="1/cm">0.0287818270155056</Idev><Qdev unit="1/A">0.001527</Qdev><Qmean unit="1/A">0.01901</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01938</Q><I unit="1/cm">1.42409914349359</I><Idev unit="1/cm">0.0407580018820144</Idev><Qdev unit="1/A">0.001544</Qdev><Qmean unit="1/A">0.01941</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01978</Q><I unit="1/cm">1.31550314607982</I><Idev unit="1/cm">0.0341712929199376</Idev><Qdev unit="1/A">0.001561</Qdev><Qmean unit="1/A">0.01981</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02018</Q><I unit="1/cm">1.21769505061127</I><Idev unit="1/cm">0.0391146947477466</Idev><Qdev unit="1/A">0.001578</Qdev><Qmean unit="1/A">0.02021</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02029</Q><I unit="1/cm">1.28605198884776</I><Idev unit="1/cm">0.117319377167684</Idev><Qdev unit="1/A">0.002479</Qdev><Qmean unit="1/A">0.0204</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02058</Q><I unit="1/cm">1.12934269342291</I><Idev unit="1/cm">0.0695535935594028</Idev><Qdev unit="1/A">0.001596</Qdev><Qmean unit="1/A">0.02061</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02098</Q><I unit="1/cm">1.04908270996237</I><Idev unit="1/cm">0.103945865391001</Idev><Qdev unit="1/A">0.001613</Qdev><Qmean unit="1/A">0.02101</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02138</Q><I unit="1/cm">0.976282250802788</I><Idev unit="1/cm">0.0294678419183636</Idev><Qdev unit="1/A">0.001631</Qdev><Qmean unit="1/A">0.02141</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.0216</Q><I unit="1/cm">1.00272837079373</I><Idev unit="1/cm">0.0124100240987653</Idev><Qdev unit="1/A">0.002515</Qdev><Qmean unit="1/A">0.0217</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02178</Q><I unit="1/cm">0.911737853213214</I><Idev unit="1/cm">0.0287995848932864</Idev><Qdev unit="1/A">0.001649</Qdev><Qmean unit="1/A">0.0218</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02218</Q><I unit="1/cm">0.851315660791169</I><Idev unit="1/cm">0.00949505713408692</Idev><Qdev unit="1/A">0.001667</Qdev><Qmean unit="1/A">0.0222</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02258</Q><I unit="1/cm">0.796120161506339</I><Idev unit="1/cm">0.00735078128024068</Idev><Qdev unit="1/A">0.001685</Qdev><Qmean unit="1/A">0.0226</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.0229</Q><I unit="1/cm">0.796270874403319</I><Idev unit="1/cm">0.0803724084027472</Idev><Qdev unit="1/A">0.002554</Qdev><Qmean unit="1/A">0.02301</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02298</Q><I unit="1/cm">0.745657450200667</I><Idev unit="1/cm">0.059779068825452</Idev><Qdev unit="1/A">0.001703</Qdev><Qmean unit="1/A">0.023</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02338</Q><I unit="1/cm">0.699514756231151</I><Idev unit="1/cm">0.00790528516519376</Idev><Qdev unit="1/A">0.001722</Qdev><Qmean unit="1/A">0.0234</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02378</Q><I unit="1/cm">0.65715264050569</I><Idev unit="1/cm">0.0586251853969212</Idev><Qdev unit="1/A">0.00174</Qdev><Qmean unit="1/A">0.0238</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02418</Q><I unit="1/cm">0.618262281205102</I><Idev unit="1/cm">0.0168711285503726</Idev><Qdev unit="1/A">0.001759</Qdev><Qmean unit="1/A">0.0242</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02421</Q><I unit="1/cm">0.644819133988899</I><Idev unit="1/cm">0.0494125214193752</Idev><Qdev unit="1/A">0.002594</Qdev><Qmean unit="1/A">0.02431</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02458</Q><I unit="1/cm">0.582489093815054</I><Idev unit="1/cm">0.0188057515484036</Idev><Qdev unit="1/A">0.001778</Qdev><Qmean unit="1/A">0.0246</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02498</Q><I unit="1/cm">0.549545690031832</I><Idev unit="1/cm">0.0417923893167032</Idev><Qdev unit="1/A">0.001797</Qdev><Qmean unit="1/A">0.025</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02537</Q><I unit="1/cm">0.519158483003037</I><Idev unit="1/cm">0.00547405917074116</Idev><Qdev unit="1/A">0.001816</Qdev><Qmean unit="1/A">0.0254</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02552</Q><I unit="1/cm">0.530683804646732</I><Idev unit="1/cm">0.0055377606424412</Idev><Qdev unit="1/A">0.002636</Qdev><Qmean unit="1/A">0.02561</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02577</Q><I unit="1/cm">0.491088414959934</I><Idev unit="1/cm">0.0220638376659903</Idev><Qdev unit="1/A">0.001835</Qdev><Qmean unit="1/A">0.0258</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02617</Q><I unit="1/cm">0.465766983148075</I><Idev unit="1/cm">0.00219192354124381</Idev><Qdev unit="1/A">0.001854</Qdev><Qmean unit="1/A">0.02619</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02657</Q><I unit="1/cm">0.441691463896423</I><Idev unit="1/cm">0.00224346396292702</Idev><Qdev unit="1/A">0.001873</Qdev><Qmean unit="1/A">0.02659</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02683</Q><I unit="1/cm">0.442666910956566</I><Idev unit="1/cm">0.0215039698815934</Idev><Qdev unit="1/A">0.00268</Qdev><Qmean unit="1/A">0.02692</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02697</Q><I unit="1/cm">0.419375781086374</I><Idev unit="1/cm">0.0277204867647122</Idev><Qdev unit="1/A">0.001892</Qdev><Qmean unit="1/A">0.02699</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02737</Q><I unit="1/cm">0.398682938030571</I><Idev unit="1/cm">0.00203185153971183</Idev><Qdev unit="1/A">0.001912</Qdev><Qmean unit="1/A">0.02739</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02777</Q><I unit="1/cm">0.379442001854766</I><Idev unit="1/cm">0.0180345924155163</Idev><Qdev unit="1/A">0.001931</Qdev><Qmean unit="1/A">0.02779</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02814</Q><I unit="1/cm">0.374855701327087</I><Idev unit="1/cm">0.000629509477568996</Idev><Qdev unit="1/A">0.002725</Qdev><Qmean unit="1/A">0.02822</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02817</Q><I unit="1/cm">0.361565025292849</I><Idev unit="1/cm">0.00226870013564266</Idev><Qdev unit="1/A">0.001951</Qdev><Qmean unit="1/A">0.02819</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02857</Q><I unit="1/cm">0.344920584388848</I><Idev unit="1/cm">0.0340542095504553</Idev><Qdev unit="1/A">0.001971</Qdev><Qmean unit="1/A">0.02859</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02897</Q><I unit="1/cm">0.329394913469722</I><Idev unit="1/cm">0.00707027436457572</Idev><Qdev unit="1/A">0.00199</Qdev><Qmean unit="1/A">0.02899</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02937</Q><I unit="1/cm">0.314925143385435</I><Idev unit="1/cm">0.024193305471527</Idev><Qdev unit="1/A">0.00201</Qdev><Qmean unit="1/A">0.02939</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02944</Q><I unit="1/cm">0.321479507858024</I><Idev unit="1/cm">0.0292488886883381</Idev><Qdev unit="1/A">0.002771</Qdev><Qmean unit="1/A">0.02952</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02977</Q><I unit="1/cm">0.301413481064123</I><Idev unit="1/cm">0.0230294151791749</Idev><Qdev unit="1/A">0.00203</Qdev><Qmean unit="1/A">0.02979</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03017</Q><I unit="1/cm">0.288785128600725</I><Idev unit="1/cm">0.0104349423686301</Idev><Qdev unit="1/A">0.00205</Qdev><Qmean unit="1/A">0.03019</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03075</Q><I unit="1/cm">0.278702012332152</I><Idev unit="1/cm">0.0122598703608383</Idev><Qdev unit="1/A">0.002819</Qdev><Qmean unit="1/A">0.03083</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03456</Q><I unit="1/cm">0.192456382211136</I><Idev unit="1/cm">0.00119407437504898</Idev><Qdev unit="1/A">0.002274</Qdev><Qmean unit="1/A">0.03458</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03467</Q><I unit="1/cm">0.194003357022187</I><Idev unit="1/cm">0.0119742663316565</Idev><Qdev unit="1/A">0.00297</Qdev><Qmean unit="1/A">0.03474</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03496</Q><I unit="1/cm">0.186609299904401</I><Idev unit="1/cm">0.0135859764092058</Idev><Qdev unit="1/A">0.002295</Qdev><Qmean unit="1/A">0.03497</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03576</Q><I unit="1/cm">0.175604612246579</I><Idev unit="1/cm">0.0158523402641472</Idev><Qdev unit="1/A">0.002336</Qdev><Qmean unit="1/A">0.03577</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03695</Q><I unit="1/cm">0.161245537261007</I><Idev unit="1/cm">0.0134667911841415</Idev><Qdev unit="1/A">0.002399</Qdev><Qmean unit="1/A">0.03697</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03729</Q><I unit="1/cm">0.15954658549394</I><Idev unit="1/cm">0.0016887771808399</Idev><Qdev unit="1/A">0.003075</Qdev><Qmean unit="1/A">0.03735</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03775</Q><I unit="1/cm">0.152847811198684</I><Idev unit="1/cm">0.00991326895358868</Idev><Qdev unit="1/A">0.002441</Qdev><Qmean unit="1/A">0.03777</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03815</Q><I unit="1/cm">0.149048312395448</I><Idev unit="1/cm">0.00286749056752995</Idev><Qdev unit="1/A">0.002462</Qdev><Qmean unit="1/A">0.03817</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03855</Q><I unit="1/cm">0.145383661476316</I><Idev unit="1/cm">0.00387577316858306</Idev><Qdev unit="1/A">0.002483</Qdev><Qmean unit="1/A">0.03857</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.0386</Q><I unit="1/cm">0.146384301191591</I><Idev unit="1/cm">0.0109530741508066</Idev><Qdev unit="1/A">0.00313</Qdev><Qmean unit="1/A">0.03866</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03895</Q><I unit="1/cm">0.141916892298913</I><Idev unit="1/cm">0.00406869243218332</Idev><Qdev unit="1/A">0.002504</Qdev><Qmean unit="1/A">0.03896</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03975</Q><I unit="1/cm">0.13563194659973</I><Idev unit="1/cm">0.00371784708794055</Idev><Qdev unit="1/A">0.002547</Qdev><Qmean unit="1/A">0.03976</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04095</Q><I unit="1/cm">0.127208370753458</I><Idev unit="1/cm">0.0113850725679602</Idev><Qdev unit="1/A">0.00261</Qdev><Qmean unit="1/A">0.04096</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04214</Q><I unit="1/cm">0.119906534488567</I><Idev unit="1/cm">0.00478612408780964</Idev><Qdev unit="1/A">0.002675</Qdev><Qmean unit="1/A">0.04216</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04254</Q><I unit="1/cm">0.117718795031699</I><Idev unit="1/cm">0.00842474681083352</Idev><Qdev unit="1/A">0.002696</Qdev><Qmean unit="1/A">0.04255</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04294</Q><I unit="1/cm">0.114902394749353</I><Idev unit="1/cm">0.00187716940571643</Idev><Qdev unit="1/A">0.002717</Qdev><Qmean unit="1/A">0.04295</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04334</Q><I unit="1/cm">0.11339021216593</I><Idev unit="1/cm">0.007842719046824</Idev><Qdev unit="1/A">0.002739</Qdev><Qmean unit="1/A">0.04335</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04374</Q><I unit="1/cm">0.11205482700416</I><Idev unit="1/cm">0.0032370815249605</Idev><Qdev unit="1/A">0.00276</Qdev><Qmean unit="1/A">0.04375</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04382</Q><I unit="1/cm">0.111170374310819</I><Idev unit="1/cm">0.00177198673739075</Idev><Qdev unit="1/A">0.003356</Qdev><Qmean unit="1/A">0.04388</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04457</Q><I unit="1/cm">0.111162078092115</I><Idev unit="1/cm">0.00477407044828156</Idev><Qdev unit="1/A">0.005008</Qdev><Qmean unit="1/A">0.04478</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04513</Q><I unit="1/cm">0.105340228684494</I><Idev unit="1/cm">0.0112460015292242</Idev><Qdev unit="1/A">0.003414</Qdev><Qmean unit="1/A">0.04518</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04644</Q><I unit="1/cm">0.100212831748332</I><Idev unit="1/cm">0.009500313306954</Idev><Qdev unit="1/A">0.003473</Qdev><Qmean unit="1/A">0.04649</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.04774</Q><I unit="1/cm">0.0957800754749087</I><Idev unit="1/cm">0.00552335951593452</Idev><Qdev unit="1/A">0.003533</Qdev><Qmean unit="1/A">0.04779</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.05231</Q><I unit="1/cm">0.0867503520668501</I><Idev unit="1/cm">0.00566910671351808</Idev><Qdev unit="1/A">0.005254</Qdev><Qmean unit="1/A">0.05248</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.05427</Q><I unit="1/cm">0.0811206646116662</I><Idev unit="1/cm">0.0074601970394538</Idev><Qdev unit="1/A">0.00384</Qdev><Qmean unit="1/A">0.05431</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.05557</Q><I unit="1/cm">0.0794870182163403</I><Idev unit="1/cm">0.00353931868669503</Idev><Qdev unit="1/A">0.003903</Qdev><Qmean unit="1/A">0.05562</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.05688</Q><I unit="1/cm">0.0779981227075428</I><Idev unit="1/cm">0.00915172656608852</Idev><Qdev unit="1/A">0.003967</Qdev><Qmean unit="1/A">0.05692</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.05949</Q><I unit="1/cm">0.0750176646191393</I><Idev unit="1/cm">0.00463641959504044</Idev><Qdev unit="1/A">0.004095</Qdev><Qmean unit="1/A">0.05953</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.06079</Q><I unit="1/cm">0.0736271429569049</I><Idev unit="1/cm">0.00378670965514223</Idev><Qdev unit="1/A">0.00416</Qdev><Qmean unit="1/A">0.06083</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.0621</Q><I unit="1/cm">0.0724886888785603</I><Idev unit="1/cm">0.000498990519808252</Idev><Qdev unit="1/A">0.004225</Qdev><Qmean unit="1/A">0.06213</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.06391</Q><I unit="1/cm">0.0681489290477084</I><Idev unit="1/cm">0.00165854517551403</Idev><Qdev unit="1/A">0.005671</Qdev><Qmean unit="1/A">0.06405</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.0647</Q><I unit="1/cm">0.0708574478356056</I><Idev unit="1/cm">0.00389764739528386</Idev><Qdev unit="1/A">0.004356</Qdev><Qmean unit="1/A">0.06474</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.06601</Q><I unit="1/cm">0.0700571973526123</I><Idev unit="1/cm">0.00248225247806094</Idev><Qdev unit="1/A">0.004422</Qdev><Qmean unit="1/A">0.06604</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.06731</Q><I unit="1/cm">0.0691437165346186</I><Idev unit="1/cm">0.00771720366641172</Idev><Qdev unit="1/A">0.004488</Qdev><Qmean unit="1/A">0.06734</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.06777</Q><I unit="1/cm">0.0647271674077529</I><Idev unit="1/cm">0.00253796913288505</Idev><Qdev unit="1/A">0.005821</Qdev><Qmean unit="1/A">0.0679</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.07772</Q><I unit="1/cm">0.06492192106116</I><Idev unit="1/cm">0.00682181462494132</Idev><Qdev unit="1/A">0.005029</Qdev><Qmean unit="1/A">0.07775</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.08319</Q><I unit="1/cm">0.0638273679832481</I><Idev unit="1/cm">0.00261352685599949</Idev><Qdev unit="1/A">0.006463</Qdev><Qmean unit="1/A">0.0833</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.08423</Q><I unit="1/cm">0.0635538060743309</I><Idev unit="1/cm">0.00445288301003852</Idev><Qdev unit="1/A">0.005373</Qdev><Qmean unit="1/A">0.08425</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.08552</Q><I unit="1/cm">0.0633234957637986</I><Idev unit="1/cm">0.00729930751448412</Idev><Qdev unit="1/A">0.005443</Qdev><Qmean unit="1/A">0.08555</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.08704</Q><I unit="1/cm">0.0631156097548716</I><Idev unit="1/cm">0.00316067551657405</Idev><Qdev unit="1/A">0.006633</Qdev><Qmean unit="1/A">0.08714</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.09089</Q><I unit="1/cm">0.0626498650385704</I><Idev unit="1/cm">0.000325069344399684</Idev><Qdev unit="1/A">0.006806</Qdev><Qmean unit="1/A">0.09099</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.0972</Q><I unit="1/cm">0.0619407017005454</I><Idev unit="1/cm">0.00317270247697942</Idev><Qdev unit="1/A">0.006074</Qdev><Qmean unit="1/A">0.09723</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1062</Q><I unit="1/cm">0.0613069509900557</I><Idev unit="1/cm">0.00342625871888222</Idev><Qdev unit="1/A">0.007523</Qdev><Qmean unit="1/A">0.1063</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1063</Q><I unit="1/cm">0.0612716306574794</I><Idev unit="1/cm">0.0049076643688466</Idev><Qdev unit="1/A">0.00657</Qdev><Qmean unit="1/A">0.1063</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1114</Q><I unit="1/cm">0.0609842808625083</I><Idev unit="1/cm">0.0016279238455129</Idev><Qdev unit="1/A">0.006856</Qdev><Qmean unit="1/A">0.1115</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1127</Q><I unit="1/cm">0.0609358807035418</I><Idev unit="1/cm">0.000522920964234972</Idev><Qdev unit="1/A">0.006928</Qdev><Qmean unit="1/A">0.1128</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1139</Q><I unit="1/cm">0.060964369439983</I><Idev unit="1/cm">0.00185730485700522</Idev><Qdev unit="1/A">0.007894</Qdev><Qmean unit="1/A">0.114</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1153</Q><I unit="1/cm">0.0608508956820064</I><Idev unit="1/cm">0.00584350494000012</Idev><Qdev unit="1/A">0.007071</Qdev><Qmean unit="1/A">0.1153</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1166</Q><I unit="1/cm">0.0608158752982061</I><Idev unit="1/cm">0.0049421083759054</Idev><Qdev unit="1/A">0.007143</Qdev><Qmean unit="1/A">0.1166</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1177</Q><I unit="1/cm">0.0608462805087556</I><Idev unit="1/cm">0.00343799922541136</Idev><Qdev unit="1/A">0.008083</Qdev><Qmean unit="1/A">0.1178</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1179</Q><I unit="1/cm">0.0607826589407479</I><Idev unit="1/cm">0.00103131112545898</Idev><Qdev unit="1/A">0.007214</Qdev><Qmean unit="1/A">0.1179</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1192</Q><I unit="1/cm">0.0607507027685334</I><Idev unit="1/cm">0.00108194265797187</Idev><Qdev unit="1/A">0.007286</Qdev><Qmean unit="1/A">0.1192</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1205</Q><I unit="1/cm">0.060719730830305</I><Idev unit="1/cm">0.00469421713508036</Idev><Qdev unit="1/A">0.007358</Qdev><Qmean unit="1/A">0.1205</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1216</Q><I unit="1/cm">0.0607285245479243</I><Idev unit="1/cm">0.0043627306729732</Idev><Qdev unit="1/A">0.008272</Qdev><Qmean unit="1/A">0.1216</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1218</Q><I unit="1/cm">0.0606901464421876</I><Idev unit="1/cm">0.005686418241669</Idev><Qdev unit="1/A">0.00743</Qdev><Qmean unit="1/A">0.1218</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1231</Q><I unit="1/cm">0.0606614020999667</I><Idev unit="1/cm">0.00493913438232264</Idev><Qdev unit="1/A">0.007502</Qdev><Qmean unit="1/A">0.1231</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1254</Q><I unit="1/cm">0.0605123867148291</I><Idev unit="1/cm">0.0045827157277498</Idev><Qdev unit="1/A">0.008464</Qdev><Qmean unit="1/A">0.1254</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1256</Q><I unit="1/cm">0.0605977537543078</I><Idev unit="1/cm">0.000380795660094707</Idev><Qdev unit="1/A">0.007646</Qdev><Qmean unit="1/A">0.1257</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1269</Q><I unit="1/cm">0.0605572967948118</I><Idev unit="1/cm">0.00616226532768536</Idev><Qdev unit="1/A">0.007718</Qdev><Qmean unit="1/A">0.1269</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1282</Q><I unit="1/cm">0.0605242010906595</I><Idev unit="1/cm">0.00570396690670424</Idev><Qdev unit="1/A">0.00779</Qdev><Qmean unit="1/A">0.1282</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1292</Q><I unit="1/cm">0.060298115041447</I><Idev unit="1/cm">0.000551109837639756</Idev><Qdev unit="1/A">0.008656</Qdev><Qmean unit="1/A">0.1293</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1295</Q><I unit="1/cm">0.0605001047494084</I><Idev unit="1/cm">0.00478302389749476</Idev><Qdev unit="1/A">0.007862</Qdev><Qmean unit="1/A">0.1295</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1308</Q><I unit="1/cm">0.0604825383613427</I><Idev unit="1/cm">0.000855793307535084</Idev><Qdev unit="1/A">0.007934</Qdev><Qmean unit="1/A">0.1308</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1321</Q><I unit="1/cm">0.0604629047731714</I><Idev unit="1/cm">0.0065739509959126</Idev><Qdev unit="1/A">0.008007</Qdev><Qmean unit="1/A">0.1321</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1334</Q><I unit="1/cm">0.060433494138156</I><Idev unit="1/cm">0.00304606998489991</Idev><Qdev unit="1/A">0.008079</Qdev><Qmean unit="1/A">0.1334</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1346</Q><I unit="1/cm">0.0603955091485214</I><Idev unit="1/cm">0.00217980851062088</Idev><Qdev unit="1/A">0.008151</Qdev><Qmean unit="1/A">0.1347</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1368</Q><I unit="1/cm">0.0604853369811103</I><Idev unit="1/cm">0.00566643758305936</Idev><Qdev unit="1/A">0.009045</Qdev><Qmean unit="1/A">0.1369</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1372</Q><I unit="1/cm">0.0603196598246341</I><Idev unit="1/cm">0.00534151465141852</Idev><Qdev unit="1/A">0.008296</Qdev><Qmean unit="1/A">0.1372</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1385</Q><I unit="1/cm">0.060309375532759</I><Idev unit="1/cm">0.00284852938606321</Idev><Qdev unit="1/A">0.008368</Qdev><Qmean unit="1/A">0.1385</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1398</Q><I unit="1/cm">0.0602967436271026</I><Idev unit="1/cm">0.00295336795952682</Idev><Qdev unit="1/A">0.00844</Qdev><Qmean unit="1/A">0.1398</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1896</Q><I unit="1/cm">0.0600406310253657</I><Idev unit="1/cm">0.00110037196469935</Idev><Qdev unit="1/A">0.01185</Qdev><Qmean unit="1/A">0.1897</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1971</Q><I unit="1/cm">0.0599561819034172</I><Idev unit="1/cm">0.000864313104333068</Idev><Qdev unit="1/A">0.01225</Qdev><Qmean unit="1/A">0.1971</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2703</Q><I unit="1/cm">0.0598695847941254</I><Idev unit="1/cm">0.000570358074717744</Idev><Qdev unit="1/A">0.01632</Qdev><Qmean unit="1/A">0.2704</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2739</Q><I unit="1/cm">0.0598746609102166</I><Idev unit="1/cm">0.00514749477354896</Idev><Qdev unit="1/A">0.01652</Qdev><Qmean unit="1/A">0.274</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2775</Q><I unit="1/cm">0.0598710946052492</I><Idev unit="1/cm">0.00233949375949796</Idev><Qdev unit="1/A">0.01673</Qdev><Qmean unit="1/A">0.2775</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2811</Q><I unit="1/cm">0.0598651661820699</I><Idev unit="1/cm">0.0013068816502873</Idev><Qdev unit="1/A">0.01693</Qdev><Qmean unit="1/A">0.2811</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2847</Q><I unit="1/cm">0.059869579181067</I><Idev unit="1/cm">0.00145840607426022</Idev><Qdev unit="1/A">0.01713</Qdev><Qmean unit="1/A">0.2847</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2882</Q><I unit="1/cm">0.0598647053691857</I><Idev unit="1/cm">0.00645270241890912</Idev><Qdev unit="1/A">0.01733</Qdev><Qmean unit="1/A">0.2882</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2918</Q><I unit="1/cm">0.0598626946445512</I><Idev unit="1/cm">0.00743014395660804</Idev><Qdev unit="1/A">0.01753</Qdev><Qmean unit="1/A">0.2918</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2953</Q><I unit="1/cm">0.0598615272479092</I><Idev unit="1/cm">0.00159526300663046</Idev><Qdev unit="1/A">0.01773</Qdev><Qmean unit="1/A">0.2953</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2988</Q><I unit="1/cm">0.0598641396420646</I><Idev unit="1/cm">0.00532105445563836</Idev><Qdev unit="1/A">0.01793</Qdev><Qmean unit="1/A">0.2989</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3024</Q><I unit="1/cm">0.0598612295806549</I><Idev unit="1/cm">0.00362076758305341</Idev><Qdev unit="1/A">0.01813</Qdev><Qmean unit="1/A">0.3024</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3059</Q><I unit="1/cm">0.0598553782115866</I><Idev unit="1/cm">0.000694342700495228</Idev><Qdev unit="1/A">0.01833</Qdev><Qmean unit="1/A">0.3059</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3094</Q><I unit="1/cm">0.0598611284593141</I><Idev unit="1/cm">0.000164906970711582</Idev><Qdev unit="1/A">0.01853</Qdev><Qmean unit="1/A">0.3094</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3129</Q><I unit="1/cm">0.0598564807267493</I><Idev unit="1/cm">0.000292255202139402</Idev><Qdev unit="1/A">0.01873</Qdev><Qmean unit="1/A">0.3129</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3164</Q><I unit="1/cm">0.0598574055729553</I><Idev unit="1/cm">0.00173368799879996</Idev><Qdev unit="1/A">0.01893</Qdev><Qmean unit="1/A">0.3164</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3199</Q><I unit="1/cm">0.0598565118552629</I><Idev unit="1/cm">0.00656001236562596</Idev><Qdev unit="1/A">0.01912</Qdev><Qmean unit="1/A">0.3199</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3268</Q><I unit="1/cm">0.0598540229496195</I><Idev unit="1/cm">0.00037971264686968</Idev><Qdev unit="1/A">0.01952</Qdev><Qmean unit="1/A">0.3269</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3303</Q><I unit="1/cm">0.0598554486681863</I><Idev unit="1/cm">0.000238660576570818</Idev><Qdev unit="1/A">0.01972</Qdev><Qmean unit="1/A">0.3303</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3372</Q><I unit="1/cm">0.0598517990703868</I><Idev unit="1/cm">0.00241504403863614</Idev><Qdev unit="1/A">0.02011</Qdev><Qmean unit="1/A">0.3372</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3406</Q><I unit="1/cm">0.0598536588848801</I><Idev unit="1/cm">0.00486344183607404</Idev><Qdev unit="1/A">0.0203</Qdev><Qmean unit="1/A">0.3407</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3475</Q><I unit="1/cm">0.0598510137107766</I><Idev unit="1/cm">0.00582814456851036</Idev><Qdev unit="1/A">0.0207</Qdev><Qmean unit="1/A">0.3475</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3509</Q><I unit="1/cm">0.0598506733448819</I><Idev unit="1/cm">0.0034360032765413</Idev><Qdev unit="1/A">0.02089</Qdev><Qmean unit="1/A">0.3509</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3543</Q><I unit="1/cm">0.0598513080913984</I><Idev unit="1/cm">0.00375553714507095</Idev><Qdev unit="1/A">0.02108</Qdev><Qmean unit="1/A">0.3543</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3577</Q><I unit="1/cm">0.0598469570341251</I><Idev unit="1/cm">0.00145158303366345</Idev><Qdev unit="1/A">0.02128</Qdev><Qmean unit="1/A">0.3577</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3611</Q><I unit="1/cm">0.0598505009672979</I><Idev unit="1/cm">0.00265475137899194</Idev><Qdev unit="1/A">0.02147</Qdev><Qmean unit="1/A">0.3611</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3779</Q><I unit="1/cm">0.0598469126316892</I><Idev unit="1/cm">0.00247959277349808</Idev><Qdev unit="1/A">0.02243</Qdev><Qmean unit="1/A">0.3779</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3812</Q><I unit="1/cm">0.0598471198875677</I><Idev unit="1/cm">0.00371599954529285</Idev><Qdev unit="1/A">0.02262</Qdev><Qmean unit="1/A">0.3812</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3911</Q><I unit="1/cm">0.0598456023046037</I><Idev unit="1/cm">0.0072376973498202</Idev><Qdev unit="1/A">0.02319</Qdev><Qmean unit="1/A">0.3911</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3944</Q><I unit="1/cm">0.0598462561762734</I><Idev unit="1/cm">0.00259365235024266</Idev><Qdev unit="1/A">0.02338</Qdev><Qmean unit="1/A">0.3944</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3977</Q><I unit="1/cm">0.0598449850147436</I><Idev unit="1/cm">0.00205279235695875</Idev><Qdev unit="1/A">0.02357</Qdev><Qmean unit="1/A">0.3977</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.401</Q><I unit="1/cm">0.0598461884817662</I><Idev unit="1/cm">0.00379297785107319</Idev><Qdev unit="1/A">0.02375</Qdev><Qmean unit="1/A">0.401</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-		</SASdata>
-
-		<SASsample>
-
-			<ID></ID>
-
-			<thickness unit="mm">1</thickness>
-
-			<transmission>0.327</transmission>
-
-		</SASsample>
-
-		<SASinstrument>
-
-			<name></name>
-
-			<SASsource>
-
-				<radiation>neutron</radiation>
-
-				<wavelength unit="A">5</wavelength>
-
-			</SASsource>
-
-			<SAScollimation>
-
-			</SAScollimation>
-
-			<SASdetector>
-
-				<name></name>
-
-			</SASdetector>
-
-		</SASinstrument>
-
-		<SASnote>
-
-			free form description of processing
-
-		</SASnote>
-
-	</SASentry>
-
-	<SASentry>
-
-		<Title>latex particles 0.5micron diameter in D2O slit</Title>
-
-		<Run>latex_usans</Run>
-
-		<SASdata>
-
-			<Idata><Q unit="1/A">7.7457e-05</Q><I unit="1/cm">8432.04</I><Idev unit="1/cm">153.745</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">8.3007e-05</Q><I unit="1/cm">8298.38</I><Idev unit="1/cm">152.01</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">8.8557e-05</Q><I unit="1/cm">8091.51</I><Idev unit="1/cm">149.908</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">9.4107e-05</Q><I unit="1/cm">7947.7</I><Idev unit="1/cm">148.184</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">9.9657e-05</Q><I unit="1/cm">8174.04</I><Idev unit="1/cm">149.824</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000105207</Q><I unit="1/cm">7890.52</I><Idev unit="1/cm">147.061</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000110757</Q><I unit="1/cm">8067.04</I><Idev unit="1/cm">74.9155</Idev><dQl unit="1/A">0.117</dQl></Idata>
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-			<Idata><Q unit="1/A">0.000121857</Q><I unit="1/cm">7995.24</I><Idev unit="1/cm">74.0244</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000132957</Q><I unit="1/cm">7969.3</I><Idev unit="1/cm">73.7818</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000144057</Q><I unit="1/cm">7953.56</I><Idev unit="1/cm">73.6532</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000155157</Q><I unit="1/cm">7896.35</I><Idev unit="1/cm">73.3392</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000166257</Q><I unit="1/cm">7877.91</I><Idev unit="1/cm">73.1936</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000177357</Q><I unit="1/cm">7769.46</I><Idev unit="1/cm">72.6739</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000188457</Q><I unit="1/cm">7746.93</I><Idev unit="1/cm">72.5899</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000199557</Q><I unit="1/cm">7820.8</I><Idev unit="1/cm">72.9063</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000210657</Q><I unit="1/cm">7656.83</I><Idev unit="1/cm">72.1007</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000221757</Q><I unit="1/cm">7777.33</I><Idev unit="1/cm">72.6551</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000232857</Q><I unit="1/cm">7613.01</I><Idev unit="1/cm">71.8768</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000243957</Q><I unit="1/cm">7498.28</I><Idev unit="1/cm">71.316</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000255057</Q><I unit="1/cm">7494.75</I><Idev unit="1/cm">71.2836</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000266157</Q><I unit="1/cm">7266.92</I><Idev unit="1/cm">70.182</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000277257</Q><I unit="1/cm">7292.37</I><Idev unit="1/cm">57.4236</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000305007</Q><I unit="1/cm">7214.55</I><Idev unit="1/cm">57.0526</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000332757</Q><I unit="1/cm">7103.18</I><Idev unit="1/cm">56.5915</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000360507</Q><I unit="1/cm">6883.81</I><Idev unit="1/cm">55.7205</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000388257</Q><I unit="1/cm">6818.14</I><Idev unit="1/cm">55.4232</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000416007</Q><I unit="1/cm">6591.98</I><Idev unit="1/cm">54.4991</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000443757</Q><I unit="1/cm">6420.5</I><Idev unit="1/cm">53.7756</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000471507</Q><I unit="1/cm">6120.15</I><Idev unit="1/cm">52.5042</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000499257</Q><I unit="1/cm">5950.12</I><Idev unit="1/cm">51.7582</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000527007</Q><I unit="1/cm">5792.76</I><Idev unit="1/cm">51.0591</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000554757</Q><I unit="1/cm">5524.39</I><Idev unit="1/cm">43.2058</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000610257</Q><I unit="1/cm">5127.92</I><Idev unit="1/cm">41.599</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000665757</Q><I unit="1/cm">4753.49</I><Idev unit="1/cm">40.0733</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000721257</Q><I unit="1/cm">4355.25</I><Idev unit="1/cm">38.3487</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000776757</Q><I unit="1/cm">3878.25</I><Idev unit="1/cm">36.2076</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000832257</Q><I unit="1/cm">3471.25</I><Idev unit="1/cm">34.2637</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000887757</Q><I unit="1/cm">3022.77</I><Idev unit="1/cm">31.9597</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000943257</Q><I unit="1/cm">2600.33</I><Idev unit="1/cm">29.6463</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000998757</Q><I unit="1/cm">2309.11</I><Idev unit="1/cm">27.9459</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00105426</Q><I unit="1/cm">1975.45</I><Idev unit="1/cm">25.8603</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00110976</Q><I unit="1/cm">1701.57</I><Idev unit="1/cm">21.4532</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00122076</Q><I unit="1/cm">1156.72</I><Idev unit="1/cm">17.7038</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00133176</Q><I unit="1/cm">748.659</I><Idev unit="1/cm">14.2685</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00144276</Q><I unit="1/cm">465.515</I><Idev unit="1/cm">11.2799</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00155376</Q><I unit="1/cm">252.307</I><Idev unit="1/cm">8.35705</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00166476</Q><I unit="1/cm">157.822</I><Idev unit="1/cm">6.66382</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00177576</Q><I unit="1/cm">117.146</I><Idev unit="1/cm">5.78352</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00188676</Q><I unit="1/cm">93.1465</I><Idev unit="1/cm">5.19397</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00199776</Q><I unit="1/cm">103.864</I><Idev unit="1/cm">5.46342</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00210876</Q><I unit="1/cm">128.147</I><Idev unit="1/cm">6.0333</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00221976</Q><I unit="1/cm">135.96</I><Idev unit="1/cm">6.20529</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00233076</Q><I unit="1/cm">138.712</I><Idev unit="1/cm">6.26599</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00244176</Q><I unit="1/cm">126.272</I><Idev unit="1/cm">5.99155</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00255276</Q><I unit="1/cm">114.46</I><Idev unit="1/cm">5.72081</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00266376</Q><I unit="1/cm">74.2613</I><Idev unit="1/cm">4.67786</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00277476</Q><I unit="1/cm">72.3794</I><Idev unit="1/cm">4.62347</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00288576</Q><I unit="1/cm">47.3385</I><Idev unit="1/cm">3.82544</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00299676</Q><I unit="1/cm">36.0379</I><Idev unit="1/cm">3.40491</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00310776</Q><I unit="1/cm">30.3854</I><Idev unit="1/cm">3.17364</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00321876</Q><I unit="1/cm">24.7429</I><Idev unit="1/cm">2.92505</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00332976</Q><I unit="1/cm">28.5101</I><Idev unit="1/cm">3.09348</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00344076</Q><I unit="1/cm">27.9635</I><Idev unit="1/cm">3.06924</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00355176</Q><I unit="1/cm">33.3649</I><Idev unit="1/cm">3.29833</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00366276</Q><I unit="1/cm">35.237</I><Idev unit="1/cm">3.37337</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00377376</Q><I unit="1/cm">29.0365</I><Idev unit="1/cm">3.11578</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00388476</Q><I unit="1/cm">32.5455</I><Idev unit="1/cm">3.26424</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00399576</Q><I unit="1/cm">23.1284</I><Idev unit="1/cm">2.84982</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00410676</Q><I unit="1/cm">23.6642</I><Idev unit="1/cm">2.87489</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00421776</Q><I unit="1/cm">19.3575</I><Idev unit="1/cm">2.66567</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00432876</Q><I unit="1/cm">12.8971</I><Idev unit="1/cm">2.31662</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00443976</Q><I unit="1/cm">12.8958</I><Idev unit="1/cm">2.31647</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00455076</Q><I unit="1/cm">9.66256</I><Idev unit="1/cm">2.12012</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00466176</Q><I unit="1/cm">9.66792</I><Idev unit="1/cm">2.1208</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00477276</Q><I unit="1/cm">9.39793</I><Idev unit="1/cm">2.10354</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00488376</Q><I unit="1/cm">13.7138</I><Idev unit="1/cm">2.36412</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00499476</Q><I unit="1/cm">14.2495</I><Idev unit="1/cm">2.39427</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00510576</Q><I unit="1/cm">9.12935</I><Idev unit="1/cm">2.08632</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00521676</Q><I unit="1/cm">11.822</I><Idev unit="1/cm">2.25339</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00532776</Q><I unit="1/cm">10.7551</I><Idev unit="1/cm">2.18935</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00543876</Q><I unit="1/cm">11.8258</I><Idev unit="1/cm">2.25385</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00554976</Q><I unit="1/cm">8.04703</I><Idev unit="1/cm">2.01492</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-		</SASdata>
-
-		<SASsample>
-
-			<ID></ID>
-
-			<thickness unit="mm">1</thickness>
-
-			<transmission>0.84031</transmission>
-
-		</SASsample>
-
-		<SASinstrument>
-
-			<name></name>
-
-			<SASsource>
-
-				<radiation>neutron</radiation>
-
-				<wavelength unit="A">2.38</wavelength>
-
-			</SASsource>
-
-			<SAScollimation>
-
-			</SAScollimation>
-
-			<SASdetector>
-
-				<name></name>
-
-			</SASdetector>
-
-		</SASinstrument>
-
-		<SASnote>
-
-			free form description of processing
-
-		</SASnote>
-
-	</SASentry>
-
-</SASroot>
Index: st/sasdataloader/test/slit_1000A_sphere_sm_h.txt
===================================================================
--- test/sasdataloader/test/slit_1000A_sphere_sm_h.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,76 +1,0 @@
-<X>   <Y>
-3.0525e-005  272927
-3.33e-005  271895
-3.885e-005  269570
-4.44e-005  266907
-4.995e-005  263918
-5.55e-005  260610
-6.105e-005  256996
-6.66e-005  253088
-7.215e-005  248898
-7.77e-005  244441
-8.325e-005  239731
-8.88e-005  234783
-9.435e-005  229615
-9.99e-005  224244
-0.00010545  218691
-0.000111  213007
-0.0001221  201099
-0.0001332  188720
-0.0001443  176014
-0.0001554  163125
-0.0001665  150194
-0.0001776  137357
-0.0001887  124740
-0.0001998  112461
-0.0002109  100628
-0.000222  89334.1
-0.0002331  78661.2
-0.0002442  68678.3
-0.0002553  59444.6
-0.0002664  51021.4
-0.0002775  43572.8
-0.00030525  27564.1
-0.000333  16260.5
-0.00036075  9066.14
-0.0003885  5134.76
-0.00041625  3520.4
-0.000444  3314.21
-0.00047175  3749.34
-0.0004995  4263.86
-0.00052725  4519.32
-0.000555  4377.13
-0.0006105  3267.94
-0.000666  1795.2
-0.0007215  914.248
-0.000777  792.066
-0.0008325  981.327
-0.000888  1011.67
-0.0009435  772.856
-0.000999  462.554
-0.0010545  296.986
-0.00111  304.392
-0.001221  372.281
-0.001332  200.069
-0.001443  155.226
-0.001554  174.773
-0.001665  95.527
-0.001776  91.3966
-0.001887  93.2306
-0.001998  53.2604
-0.002109  58.6666
-0.00222  53.9608
-0.002331  33.3167
-0.002442  39.6982
-0.002553  33.0803
-0.002664  22.8073
-0.002775  28.1541
-0.0030525  14.841
-0.00333  9.58852
-0.0036075  9.25752
-0.003885  10.6765
-0.0041625  11.6735
-0.00444  11.3733
-0.0047175  9.95799
-0.004995  8.1725
-0.0052725  6.8853
Index: st/sasdataloader/test/slit_1000A_sphere_sm_w_0_0001.txt
===================================================================
--- test/sasdataloader/test/slit_1000A_sphere_sm_w_0_0001.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,76 +1,0 @@
-<X>   <Y>
-3.0525e-005  1.58586e+008
-3.33e-005  1.55688e+008
-3.885e-005  1.55688e+008
-4.44e-005  1.52645e+008
-4.995e-005  1.52645e+008
-5.55e-005  1.49479e+008
-6.105e-005  1.49479e+008
-6.66e-005  1.46208e+008
-7.215e-005  1.46208e+008
-7.77e-005  1.42852e+008
-8.325e-005  1.42852e+008
-8.88e-005  1.3943e+008
-9.435e-005  1.3943e+008
-9.99e-005  1.35962e+008
-0.00010545  1.35361e+008
-0.000111  1.29681e+008
-0.0001221  1.23716e+008
-0.0001332  1.17819e+008
-0.0001443  1.11547e+008
-0.0001554  1.04755e+008
-0.0001665  9.78708e+007
-0.0001776  8.86188e+007
-0.0001887  8.50559e+007
-0.0001998  8.14237e+007
-0.0002109  7.00377e+007
-0.000222  6.72838e+007
-0.0002331  5.69979e+007
-0.0002442  5.35122e+007
-0.0002553  5.00696e+007
-0.0002664  4.13422e+007
-0.0002775  3.81951e+007
-0.00030525  2.55485e+007
-0.000333  1.78886e+007
-0.00036075  1.0397e+007
-0.0003885  5.5246e+006
-0.00041625  2.86391e+006
-0.000444  1.42479e+006
-0.00047175  841250
-0.0004995  632587
-0.00052725  789548
-0.000555  909313
-0.0006105  988789
-0.000666  641836
-0.0007215  251620
-0.000777  80779.6
-0.0008325  105819
-0.000888  172064
-0.0009435  170644
-0.000999  104952
-0.0010545  34613.8
-0.00111  8640.37
-0.001221  66520.7
-0.001332  23138.3
-0.001443  4608.17
-0.001554  27002.8
-0.001665  6005.28
-0.001776  4189.92
-0.001887  12470.6
-0.001998  1443.87
-0.002109  3468.11
-0.00222  6127.33
-0.002331  231.738
-0.002442  2735.44
-0.002553  3069.6
-0.002664  2.14309
-0.002775  2087.64
-0.0030525  781.373
-0.00333  146.203
-0.0036075  0.623872
-0.003885  102.714
-0.0041625  252.086
-0.00444  334.016
-0.0047175  318.556
-0.004995  233.168
-0.0052725  148.507
Index: st/sasdataloader/test/slit_1000A_sphere_sm_w_0_0002.txt
===================================================================
--- test/sasdataloader/test/slit_1000A_sphere_sm_w_0_0002.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,76 +1,0 @@
-<X>   <Y>
-3.0525e-005  213022
-3.33e-005  217281
-3.885e-005  215212
-4.44e-005  213920
-4.995e-005  212464
-5.55e-005  210809
-6.105e-005  209013
-6.66e-005  207049
-7.215e-005  204968
-7.77e-005  202733
-8.325e-005  200231
-8.88e-005  197676
-9.435e-005  195074
-9.99e-005  192314
-0.00010545  189393
-0.000111  196598
-0.0001221  188633
-0.0001332  181984
-0.0001443  174955
-0.0001554  167657
-0.0001665  160010
-0.0001776  152171
-0.0001887  144150
-0.0001998  135955
-0.0002109  127651
-0.000222  119142
-0.0002331  110131
-0.0002442  101201
-0.0002553  92502.5
-0.0002664  84098.4
-0.0002775  82797.3
-0.00030525  61108.1
-0.000333  44383
-0.00036075  31119
-0.0003885  21003.7
-0.00041625  13791.8
-0.000444  8958.24
-0.00047175  5995.06
-0.0004995  4537.52
-0.00052725  3924.02
-0.000555  4049
-0.0006105  3462.35
-0.000666  2543.48
-0.0007215  1557.49
-0.000777  994.03
-0.0008325  870.131
-0.000888  893.879
-0.0009435  820.013
-0.000999  623.98
-0.0010545  412.198
-0.00111  316.687
-0.001221  360.124
-0.001332  236.643
-0.001443  145.266
-0.001554  174.021
-0.001665  110.306
-0.001776  83.4758
-0.001887  95.9231
-0.001998  59.2528
-0.002109  53.4788
-0.00222  57.1684
-0.002331  35.3826
-0.002442  36.6378
-0.002553  35.9109
-0.002664  21.7072
-0.002775  28.337
-0.0030525  14.8856
-0.00333  9.61047
-0.0036075  9.32256
-0.003885  10.791
-0.0041625  11.81
-0.00444  11.4979
-0.0047175  10.0494
-0.004995  8.2325
-0.0052725  6.88521
Index: test/sasdataloader/test/utest_smearing.py
===================================================================
--- test/sasdataloader/test/utest_smearing.py	(revision fc18690cd84cc4dd6e33a9d344f47b08cef71290)
+++ test/sasdataloader/test/utest_smearing.py	(revision ef908db37c9eb600c4448e9e4633b500a40c6361)
@@ -10,5 +10,4 @@
 #from DataLoader.qsmearing import SlitSmearer, QSmearer, smear_selection
 from sas.sascalc.data_util.qsmearing import SlitSmearer, QSmearer, smear_selection
-from sas.models.SphereModel import SphereModel
 import os.path
 from time import time
@@ -92,58 +91,4 @@
         for i in range(len(input)):
             self.assertAlmostEqual(answer[i], output[i], 2)
-      
-class smear_test_1Dpinhole(unittest.TestCase):
-    
-    def setUp(self):
-        # NIST sample data
-        self.data = Loader().load("CMSphere5.txt")
-        # NIST smeared sphere w/ param values below
-        self.answer = Loader().load("CMSphere5smearsphere.txt")
-        # call spheremodel
-        self.model = SphereModel()
-        # setparams consistent with Igor default
-        self.model.setParam('scale', 1.0)
-        self.model.setParam('background', 0.01)
-        self.model.setParam('radius', 60.0)
-        self.model.setParam('sldSolv', 6.3e-06)
-        self.model.setParam('sldSph', 1.0e-06)
-        
-    def test_q(self):
-        """
-        Compare Pinhole resolution smearing with NIST
-        """
-        # x values
-        input = numpy.zeros(len(self.data.x))
-        # set time
-        st1 = time()
-        # cal I w/o smear
-        input = self.model.evalDistribution(self.data.x)
-        # Cal_smear (first call)
-        for i in range(1000):
-            s = QSmearer(self.data, self.model)
-        # stop and record time taken
-        first_call_time = time()-st1
-        # set new time
-        st = time()
-        # cal I w/o smear (this is not neccessary to call but just to be fare
-        input = self.model.evalDistribution(self.data.x)
-        # smear cal (after first call done above)
-        for i in range(1000):
-            output = s(input)
-
-        # record time taken
-        last_call_time = time()-st
-        # compare the ratio of ((NIST_answer-SsanView_answer)/NIST_answer)
-        # If the ratio less than 1%, pass the test 
-        for i in range(len(self.data.x)):
-            ratio  = math.fabs((self.answer.y[i]-output[i])/self.answer.y[i])
-            if ratio > 0.006:
-                ratio = 0.006
-            self.assertEqual(math.fabs((self.answer.y[i]-output[i])/ \
-                                       self.answer.y[i]), ratio) 
-        # print
-        print "\n NIST_time = 10sec:"
-        print "Cal_time(1000 times of first_calls; ) = ",  first_call_time  
-        print "Cal_time(1000 times of calls) = ",  last_call_time 
         
 if __name__ == '__main__':
Index: st/sasfit/test/PolySpheres.txt
===================================================================
--- test/sasfit/test/PolySpheres.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,129 +1,0 @@
-0 0 0
-0.003	5.58459588740281	1.18158747955905
-0.0031098987853131	5.58031083426704	0.590567038651574
-0.00322382348496395	5.57570963566376	0.393549009924917
-0.00334192157998441	5.57076925142489	0.295030963719936
-0.00346434595406838	5.56546500626888	0.235912377934454
-0.00359125509148719	5.55977048060564	0.19649304625464
-0.00372281328225516	5.55365739513176	0.168329993494493
-0.00385919083481093	5.54709548904188	0.147201704317816
-0.00400056429648997	5.54005239171167	0.130762866039685
-0.0041471166820737	5.53249348774542	0.117606265646706
-0.00429903771071089	5.52438177532811	0.106836379255833
-0.00445652405151833	5.51567771787968	0.0978561667516099
-0.00461977957817848	5.50633908908146	0.0902522688095343
-0.00478901563286383	5.49632081142928	0.0837294051088642
-0.00496445129982955	5.48557478857245	0.078071013176555
-0.00514631368902864	5.47404973182027	0.0731146475833039
-0.00533483823011677	5.46169098134419	0.0687360616971425
-0.00553026897722733	5.44844032277542	0.0648385954423108
-0.00573285892491132	5.43423580009968	0.0613459142176948
-0.00594287033565102	5.41901152598558	0.0581969260678001
-0.00616057507937144	5.40269749095603	0.0553421510214438
-0.00638625498538912	5.38521937312758	0.0527410805447586
-0.00662020220725377	5.36649835060511	0.0503602257700007
-0.00686271960095519	5.34645091903489	0.0481716536085972
-0.00711412111698497	5.32498871729341	0.0461518741430656
-0.00737473220676059	5.30201836482721	0.0442809847258853
-0.00764489024393804	5.27744131476757	0.042542004235883
-0.00792494496115828	5.25115372762826	0.0409203499581539
-0.00821525890279309	5.22304637115972	0.0394034226678704
-0.00851620789427627	5.19300455278556	0.0379802746786099
-0.00882818152862785	5.16090809198815	0.0366413421311323
-0.00915158367080108	5.12663134104523	0.0353782274817065
-0.00948683298050514	5.09004326364579	0.0341835215553371
-0.00983436345418038	5.05100758213086	0.0330506570341895
-0.0101946249868277	5.00938300540588	0.0319737871126917
-0.0105680839544193	4.96502355094501	0.0309476844470793
-0.0109552238176451	4.91777897573675	0.0299676565842223
-0.0113565457477759	4.86749533247943	0.0290294748617302
-0.0117725692754536	4.81401566878959	0.028129314392701
-0.0122038329632491	4.75718088858923	0.0272637032305237
-0.0126508951028575	4.69683079612906	0.0264294791858833
-0.0131143344378333	4.6328053442061	0.0256237530646399
-0.0135947509128025	4.56494610894868	0.0248438773302176
-0.0140927664501195	4.49309801395011	0.0240874193815478
-0.0146090257549759	4.41711132638873	0.0233521387879979
-0.0151441971500024	4.33684394690402	0.0226359679441049
-0.0156989734404448	4.25216401320184	0.0219369957054209
-0.016274072811034	4.16295283440202	0.02125345364705
-0.0168702397557105	4.06910816875267	0.0205837046520924
-0.0174882460414082	3.97054785122191	0.0199262335909773
-0.018128891707144	3.86721376932252	0.0192796398966539
-0.0187930060997066	3.75907617499481	0.0186426318764236
-0.0194814489472863	3.64613830713778	0.0180140226300296
-0.020195111472435	3.52844128312914	0.017392727466335
-0.020934917545796	3.40606919815357	0.0167777627281307
-0.0217018248821003	3.27915434819955	0.016168245946699
-0.0224968262799737	3.14788246616219	0.0155633972549466
-0.0233209509071633	3.01249783077841	0.0149625419902677
-0.0241752656328445	2.87330807557354	0.014365114415782
-0.0250608764087348	2.73068849042531	0.0137706624811018
-0.025978929700802	2.58508557301448	0.0131788535311698
-0.0269306139734194	2.43701955313547	0.0125894808538549
-0.027917161227891	2.28708558202309	0.0120024709338308
-0.028939848597336	2.13595325464285	0.0114178912518828
-0.03	1.98436411914945	0.0108359584355028
-0.031098987853131	1.83312682898386	0.0102570465290936
-0.0322382348496395	1.68310961446225	0.00968169511143006
-0.0334192157998441	1.53522979763462	0.00911061694590931
-0.0346434595406838	1.39044015199819	0.00854470480801729
-0.0359125509148719	1.24971202201179	0.00798503709757077
-0.0372281328225516	1.11401526949531	0.00743288181473221
-0.0385919083481093	0.984295305704227	0.00688969846309937
-0.0400056429648997	0.861447696381298	0.00635713744463823
-0.041471166820737	0.746291084887552	0.00583703653193501
-0.0429903771071089	0.639539452226916	0.00533141403893279
-0.0445652405151833	0.541775002358059	0.00484245834291776
-0.0461977957817848	0.453423199715101	0.0043725133873374
-0.0478901563286383	0.374731660262486	0.00392405960261756
-0.0496445129982955	0.305754670463505	0.00349968908399676
-0.0514631368902864	0.246345042432469	0.00310207240728167
-0.0533483823011677	0.196154775102989	0.0027339113493175
-0.0553026897722733	0.154645558706487	0.00239786582424827
-0.0573285892491132	0.121109530476365	0.00209643340961455
-0.0594287033565102	0.0946998869997846	0.00183174683016576
-0.0616057507937144	0.0744700387975269	0.00160524700637364
-0.0638625498538912	0.0594190450218197	0.00141721058339134
-0.0662020220725377	0.0485402095658083	0.00126619786010495
-0.0686271960095519	0.0408690909004557	0.00114864234027263
-0.0711412111698497	0.0355269108644891	0.00105890919834154
-0.073747322067606	0.0317555481867159	0.000990004803996262
-0.0764489024393804	0.0289410192634603	0.000934728583041217
-0.0792494496115828	0.0266235482140674	0.000886778478341639
-0.0821525890279309	0.0244938820712354	0.00084142588278621
-0.0851620789427627	0.0223771978566425	0.00079569201840763
-0.0882818152862785	0.0202074997238088	0.000748174134333421
-0.0915158367080108	0.0179965321442625	0.000698703927563412
-0.0948683298050514	0.0158017121279252	0.000647963202033436
-0.0983436345418038	0.0136973016001803	0.000597119752789763
-0.101946249868277	0.0117520513949583	0.000547509489443302
-0.105680839544193	0.0100150628847075	0.000500376430417827
-0.109552238176451	0.00850996118857552	0.000456680449925514
-0.113565457477759	0.00723601933523946	0.00041698428883672
-0.117725692754536	0.00617391666825772	0.000381428518691
-0.122038329632491	0.00529351205721941	0.000349790989777702
-0.126508951028575	0.00456133414053745	0.000321607856191534
-0.131143344378333	0.00394624637582449	0.000296316774158286
-0.135947509128025	0.00342265609940122	0.000273380704822851
-0.140927664501195	0.00297143438544347	0.000252365114993151
-0.146090257549759	0.0025792165050889	0.000232963244452651
-0.151441971500024	0.00223690866172535	0.000214981676219225
-0.156989734404448	0.00193810132984136	0.000198305730955978
-0.16274072811034	0.00167781751700682	0.000182862369844488
-0.168702397557105	0.00145174220250147	0.000168591747351613
-0.174882460414082	0.00125587606251196	0.000155431323249698
-0.18128891707144	0.00108646218165673	0.000143310981646312
-0.187930060997066	0.000940032983950856	0.000132154988524658
-0.194814489472863	0.000813473243471077	0.000121886548453162
-0.20195111472435	0.000704050391277569	0.000112431982636513
-0.20934917545796	0.000609404536153752	0.000103723194596338
-0.217018248821003	0.000527512107322615	9.56984655450874e-05
-0.224968262799737	0.000456639295657688	8.83021493485053e-05
-0.233209509071633	0.000395296548373191	8.14838770434946e-05
-0.241752656328445	0.000342200112605765	7.51977709061413e-05
-0.250608764087348	0.000296240753246859	6.94017978268918e-05
-0.25978929700802	0.000256458705152568	6.40573124821912e-05
-0.269306139734194	0.000222023195373744	5.91287412349099e-05
-0.27917161227891	0.000192215032598116	5.45833212982567e-05
-0.28939848597336	0.000166411797938958	5.03908972162823e-05
Index: st/sasfit/test/SILIC010_noheader.DAT
===================================================================
--- test/sasfit/test/SILIC010_noheader.DAT	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,16386 +1,0 @@
-ASCII data in order of: Qx - Qy - I(Qx,Qy) - Qz - SigmaQx - SigmaQy - fSubS(beam stop shadow)
-
--0.08731621	-0.08294715	7	0.006948369	0.005297193	0.00507565	1
--0.08602473	-0.08295567	3	0.006841452	0.005226039	0.005075651	1
--0.08473286	-0.08296407	2	0.006736108	0.005154993	0.00507565	1
--0.0834406	-0.08297235	8	0.006632336	0.00508406	0.00507565	1
--0.08214796	-0.0829805	1	0.00653014	0.005013242	0.005075651	1
--0.08085494	-0.08298852	4	0.00642952	0.004942546	0.005075651	1
--0.07956155	-0.08299641	2	0.006330477	0.004871979	0.005075651	1
--0.07826778	-0.08300419	1	0.006233013	0.004801542	0.005075651	1
--0.07697366	-0.08301184	6	0.006137129	0.004731245	0.005075651	1
--0.07567919	-0.08301935	4	0.006042827	0.004661094	0.005075651	1
--0.07438436	-0.08302674	6	0.005950109	0.004591094	0.00507565	1
--0.0730892	-0.08303402	1	0.005858974	0.004521252	0.005075651	1
--0.07179369	-0.08304115	1	0.005769424	0.004451577	0.005075651	1
--0.07049786	-0.08304816	6	0.005681462	0.004382075	0.005075651	1
--0.0692017	-0.08305506	2	0.005595087	0.004312755	0.005075651	1
--0.06790522	-0.08306181	4	0.005510301	0.004243627	0.005075651	1
--0.06660842	-0.08306845	5	0.005427105	0.004174701	0.00507565	1
--0.06531132	-0.08307496	5	0.005345501	0.004105984	0.005075651	1
--0.06401391	-0.08308133	7	0.00526549	0.004037491	0.00507565	1
--0.06271622	-0.08308759	5	0.005187071	0.003969229	0.00507565	1
--0.06141823	-0.08309372	2	0.005110248	0.003901213	0.005075651	1
--0.06011995	-0.08309972	1	0.005035021	0.003833456	0.00507565	1
--0.0588214	-0.08310559	2	0.00496139	0.00376597	0.005075651	1
--0.05752258	-0.08311133	2	0.004889357	0.003698774	0.00507565	1
--0.05622349	-0.08311694	2	0.004818923	0.003631879	0.005075651	1
--0.05492413	-0.08312243	1	0.004750089	0.003565305	0.005075652	1
--0.05362453	-0.0831278	2	0.004682856	0.003499072	0.005075651	1
--0.05232468	-0.08313303	3	0.004617224	0.003433195	0.00507565	1
--0.05102458	-0.08313813	2	0.004553195	0.003367698	0.00507565	1
--0.04972425	-0.08314311	3	0.004490769	0.003302603	0.005075651	1
--0.04842369	-0.08314796	1	0.004429948	0.003237934	0.00507565	1
--0.0471229	-0.08315268	8	0.004370732	0.003173716	0.005075651	1
--0.04582189	-0.08315728	6	0.004313122	0.003109979	0.005075651	1
--0.04452067	-0.08316174	4	0.004257119	0.003046754	0.00507565	1
--0.04321925	-0.08316608	6	0.004202723	0.00298407	0.00507565	1
--0.04191762	-0.08317029	3	0.004149936	0.002921964	0.00507565	1
--0.0406158	-0.08317437	2	0.004098758	0.002860472	0.005075651	1
--0.03931379	-0.08317832	4	0.00404919	0.002799639	0.00507565	1
--0.0380116	-0.08318215	1	0.004001232	0.002739503	0.00507565	1
--0.03670923	-0.08318584	2	0.003954886	0.002680114	0.005075652	1
--0.03540669	-0.08318941	7	0.003910151	0.002621524	0.00507565	1
--0.03410398	-0.08319285	0	0.003867028	0.002563784	0.005075651	1
--0.03280112	-0.08319616	1	0.003825519	0.002506956	0.005075651	1
--0.0314981	-0.08319934	5	0.003785623	0.002451103	0.005075651	1
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--0.06531504	0.0823243	3	0.005286151	0.004105984	0.005034727	1
--0.06401756	0.08233062	6	0.005206125	0.00403749	0.005034727	1
--0.06271979	0.08233682	1	0.005127694	0.003969228	0.005034727	1
--0.06142173	0.08234289	1	0.005050858	0.003901213	0.005034727	1
--0.06012338	0.08234883	1	0.004975617	0.003833455	0.005034727	1
--0.05882476	0.08235465	2	0.004901974	0.003765971	0.005034727	1
--0.05752586	0.08236034	2	0.004829929	0.003698773	0.005034726	1
--0.05622669	0.08236592	5	0.004759483	0.00363188	0.005034727	1
--0.05492727	0.08237135	2	0.004690636	0.003565305	0.005034727	1
--0.05362759	0.08237667	1	0.004623392	0.003499071	0.005034727	1
--0.05232766	0.08238185	2	0.004557749	0.003433194	0.005034727	1
--0.05102749	0.08238691	3	0.004493709	0.003367697	0.005034727	1
--0.04972709	0.08239184	2	0.004431272	0.003302602	0.005034727	1
--0.04842645	0.08239665	0	0.004370441	0.003237933	0.005034726	1
--0.04712559	0.08240133	2	0.004311215	0.003173716	0.005034727	1
--0.04582451	0.08240588	4	0.004253595	0.00310998	0.005034726	1
--0.04452321	0.08241031	2	0.004197582	0.003046753	0.005034726	1
--0.04322171	0.0824146	3	0.004143177	0.002984069	0.005034727	1
--0.04192001	0.08241878	2	0.004090381	0.002921963	0.005034727	1
--0.04061812	0.08242282	2	0.004039194	0.002860473	0.005034727	1
--0.03931603	0.08242674	0	0.003989617	0.002799638	0.005034727	1
--0.03801377	0.08243053	2	0.003941651	0.002739502	0.005034727	1
--0.03671132	0.08243419	1	0.003895297	0.002680115	0.005034727	1
--0.03540871	0.08243773	7	0.003850555	0.002621524	0.005034727	1
--0.03410593	0.08244114	4	0.003807425	0.002563785	0.005034727	1
--0.032803	0.08244441	3	0.003765909	0.002506957	0.005034727	1
--0.0314999	0.08244757	1	0.003726006	0.002451103	0.005034727	1
--0.03019667	0.08245059	0	0.003687718	0.002396292	0.005034727	1
--0.02889329	0.08245349	3	0.003651045	0.002342597	0.005034727	1
--0.02758978	0.08245626	1	0.003615987	0.002290096	0.005034727	1
--0.02628614	0.08245891	0	0.003582546	0.002238872	0.005034727	1
--0.02498238	0.08246142	2	0.003550721	0.002189017	0.005034727	1
--0.0236785	0.08246381	0	0.003520513	0.002140625	0.005034727	1
--0.02237452	0.08246607	2	0.003491922	0.002093798	0.005034727	1
--0.02107042	0.0824682	4	0.003464949	0.002048643	0.005034727	1
--0.01976623	0.0824702	4	0.003439594	0.002005274	0.005034727	1
--0.01846195	0.08247208	0	0.003415857	0.001963808	0.005034727	1
--0.01715758	0.08247382	1	0.00339374	0.001924368	0.005034727	1
--0.01585314	0.08247544	0	0.003373241	0.001887082	0.005034727	1
--0.01454861	0.08247694	1	0.003354362	0.00185208	0.005034727	1
--0.01324403	0.0824783	1	0.003337102	0.001819493	0.005034727	1
--0.01193937	0.08247954	2	0.003321462	0.001789453	0.005034727	1
--0.01063467	0.08248064	2	0.003307443	0.001762092	0.005034727	1
--0.009329912	0.08248162	1	0.003295043	0.001737534	0.005034727	1
--0.008025113	0.08248247	1	0.003284264	0.001715901	0.005034727	1
--0.006720275	0.08248319	1	0.003275106	0.001697305	0.005034727	1
--0.005415407	0.08248379	1	0.003267569	0.001681845	0.005034727	1
--0.004110513	0.08248426	1	0.003261652	0.00166961	0.005034727	1
--0.002805601	0.0824846	1	0.003257356	0.001660671	0.005034727	1
--0.001500675	0.08248481	3	0.003254681	0.00165508	0.005034727	1
--0.0001957421	0.08248489	2	0.003253628	0.001652873	0.005034727	1
-0.001109192	0.08248485	4	0.003254195	0.001654062	0.005034727	1
-0.00241412	0.08248468	3	0.003256384	0.00165864	0.005034727	1
-0.003719037	0.08248437	1	0.003260193	0.00166658	0.005034727	1
-0.005023937	0.08248395	3	0.003265623	0.001677833	0.005034727	1
-0.006328814	0.08248339	7	0.003272675	0.001692333	0.005034727	1
-0.007633661	0.0824827	1	0.003281347	0.001709998	0.005034727	1
-0.008938472	0.08248189	2	0.003291639	0.001730732	0.005034727	1
-0.01024324	0.08248095	3	0.003303553	0.001754424	0.005034727	1
-0.01154796	0.08247988	1	0.003317086	0.001780958	0.005034727	1
-0.01285263	0.08247868	1	0.00333224	0.001810208	0.005034727	1
-0.01415724	0.08247735	3	0.003349014	0.001842044	0.005034727	1
-0.01546178	0.0824759	2	0.003367407	0.001876336	0.005034727	1
-0.01676625	0.08247432	5	0.00338742	0.00191295	0.005034726	1
-0.01807065	0.08247261	1	0.003409052	0.001951757	0.005034727	1
-0.01937496	0.08247077	2	0.003432303	0.001992628	0.005034727	1
-0.02067917	0.08246881	5	0.003457173	0.00203544	0.005034727	1
-0.0219833	0.08246672	3	0.00348366	0.002080071	0.005034727	1
-0.02328731	0.08246449	0	0.003511766	0.002126408	0.005034726	1
-0.02459123	0.08246215	4	0.003541489	0.002174341	0.005034727	1
-0.02589502	0.08245967	1	0.003572829	0.002223768	0.005034727	1
-0.0271987	0.08245707	2	0.003605785	0.00227459	0.005034727	1
-0.02850225	0.08245434	0	0.003640358	0.002326717	0.005034727	1
-0.02980567	0.08245148	3	0.003676547	0.002380063	0.005034726	1
-0.03110895	0.08244849	4	0.00371435	0.002434547	0.005034727	1
-0.03241208	0.08244538	5	0.003753768	0.002490095	0.005034727	1
-0.03371506	0.08244213	2	0.0037948	0.002546638	0.005034727	1
-0.03501789	0.08243877	2	0.003837446	0.00260411	0.005034727	1
-0.03632055	0.08243527	2	0.003881705	0.002662451	0.005034727	1
-0.03762305	0.08243164	10	0.003927576	0.002721605	0.005034727	1
-0.03892537	0.08242789	3	0.003975058	0.002781522	0.005034727	1
-0.04022751	0.08242401	3	0.004024152	0.002842151	0.005034727	1
-0.04152946	0.08242001	2	0.004074856	0.002903449	0.005034727	1
-0.04283122	0.08241587	4	0.004127169	0.002965375	0.005034727	1
-0.04413278	0.08241161	2	0.004181092	0.003027889	0.005034726	1
-0.04543414	0.08240722	1	0.004236622	0.003090956	0.005034727	1
-0.04673528	0.08240271	4	0.00429376	0.003154543	0.005034727	1
-0.04803621	0.08239806	3	0.004352504	0.003218619	0.005034727	1
-0.04933691	0.0823933	4	0.004412854	0.003283155	0.005034727	1
-0.05063739	0.0823884	1	0.004474809	0.003348125	0.005034727	1
-0.05193763	0.08238338	2	0.004538368	0.003413505	0.005034727	1
-0.05323763	0.08237823	5	0.00460353	0.00347927	0.005034727	1
-0.05453739	0.08237296	1	0.004670295	0.003545399	0.005034727	1
-0.05583689	0.08236755	4	0.004738661	0.003611873	0.005034727	1
-0.05713613	0.08236203	1	0.004808627	0.003678672	0.005034727	1
-0.05843511	0.08235637	1	0.004880192	0.00374578	0.005034727	1
-0.05973382	0.0823506	1	0.004953356	0.003813181	0.005034726	1
-0.06103225	0.08234469	2	0.005028117	0.003880857	0.005034727	1
-0.0623304	0.08233865	3	0.005104475	0.003948797	0.005034727	1
-0.06362826	0.08233249	2	0.005182428	0.004016986	0.005034727	1
-0.06492583	0.08232621	4	0.005261975	0.004085412	0.005034727	1
-0.06622309	0.0823198	2	0.005343116	0.004154062	0.005034727	1
-0.06752005	0.08231326	2	0.005425848	0.004222927	0.005034727	1
-0.0688167	0.0823066	3	0.005510171	0.004291996	0.005034727	1
-0.07011303	0.08229981	3	0.005596085	0.004361259	0.005034727	1
-0.07140904	0.08229289	3	0.005683586	0.004430707	0.005034727	1
-0.07270472	0.08228586	3	0.005772674	0.004500331	0.005034727	1
-0.07400005	0.08227869	5	0.005863349	0.004570124	0.005034727	1
-0.07529506	0.0822714	2	0.005955609	0.004640078	0.005034727	1
-0.07658971	0.08226399	0	0.006049452	0.004710184	0.005034727	1
-0.07788401	0.08225645	3	0.006144878	0.004780439	0.005034727	1
Index: st/sasfit/test/batch_fit.py
===================================================================
--- test/sasfit/test/batch_fit.py	(revision fc18690cd84cc4dd6e33a9d344f47b08cef71290)
+++ 	(revision )
@@ -1,172 +1,0 @@
-import copy
-import time
-import unittest
-from sas.sascalc.dataloader.loader import Loader
-from sas.sascalc.fit.Fitting import BumpsFit as Fit
-from sas.models.CylinderModel import CylinderModel
-import sas.models.dispersion_models 
-from sas.sascalc.data_util.qsmearing import smear_selection
-
-NPTS = 1
-
-
-def classMapper(classInstance, classFunc, *args):
-    """
-    Take an instance of a class and a function name as a string.
-    Execute class.function and return result
-    """
-    return  getattr(classInstance,classFunc)(*args)
-
-def mapapply(arguments):
-    return apply(arguments[0], arguments[1:])
-
-
-class BatchFit:
-    """
-    test fit module
-    """
-    def __init__(self, qmin=None, qmax=None):
-        """ """
-        self.list_of_fitter = []
-        self.list_of_function = []
-        self.param_to_fit = ['scale', 'length', 'radius']
-        self.list_of_constraints = []
-        self.list_of_mapper = []
-        self.polydisp = sas.models.dispersion_models.models
-        self.qmin = qmin
-        self.qmax = qmin
-        self.reset_value()
-        
-    def set_range(self, qmin=None, qmax=None):  
-        self.qmin = qmin
-        self.qmax = qmax
-        
-    def _reset_helper(self, path=None, npts=NPTS):
-        """
-        Set value to fitter and prepare inputs for map function
-        """
-        for i in range(npts):
-            data = Loader().load(path)
-            fitter = Fit()
-            #create model
-            model = CylinderModel()
-            model.setParam('scale', 1.0)
-            model.setParam('radius', 20.0)
-            model.setParam('length', 400.0)
-            model.setParam('sldCyl', 4e-006)
-            model.setParam('sldSolv', 1e-006)
-            model.setParam('background', 0.0)
-            for param in model.dispersion.keys():
-                model.set_dispersion(param, self.polydisp['gaussian']())
-            model.setParam('cyl_phi.width', 10)
-            model.setParam('cyl_phi.npts', 3)
-            model.setParam('cyl_theta.nsigmas', 10)
-            # for 2 data cyl_theta = 60.0 [deg] cyl_phi= 60.0 [deg]
-            fitter.set_model(model, i, self.param_to_fit, 
-                             self.list_of_constraints)
-            #smear data
-            current_smearer = smear_selection(data, model)
-            import cPickle
-            p = cPickle.dumps(current_smearer)
-            sm = cPickle.loads(p)
-            fitter.set_data(data=data, id=i,
-                             smearer=current_smearer, qmin=self.qmin, qmax=self.qmax)
-            fitter.select_problem_for_fit(id=i, value=1)
-            self.list_of_fitter.append(copy.deepcopy(fitter))
-            self.list_of_function.append('fit')
-            self.list_of_mapper.append(classMapper)
-                   
-    def reset_value(self):
-        """
-        Initialize inputs for the map function
-        """
-        self.list_of_fitter = []
-        self.list_of_function = []
-        self.param_to_fit = ['scale', 'length', 'radius']
-        self.list_of_constraints = []
-        self.list_of_mapper = []
-
-        path = "testdata_line3.txt"
-        self._reset_helper(path=path, npts=NPTS)
-        path = "testdata_line.txt"
-        self._reset_helper(path=path, npts=NPTS)
-        path = "SILIC010_noheader.DAT"
-        self._reset_helper(path=path, npts=NPTS)
-        path = "cyl_400_20.txt"
-        self._reset_helper(path=path, npts=NPTS)
-        path = "sphere_80.txt"
-        self._reset_helper(path=path, npts=NPTS)
-        path = "PolySpheres.txt"
-        self._reset_helper(path=path, npts=NPTS)
-        path = "latex_qdev.txt"
-        self._reset_helper(path=path, npts=NPTS)
-        path = "latex_qdev2.txt"
-        self._reset_helper(path=path, npts=NPTS)
-        
-      
-    def test_map_fit(self, n=0):
-        """
-        """
-        if n > 0:
-            self._test_process_map_fit(n=n)
-        else:
-            results =  map(classMapper,self.list_of_fitter, self.list_of_function)
-            print len(results)
-            for result in results:
-                print result.fitness, result.stderr, result.pvec
-        
-    def test_process_map_fit(self, n=1):
-        """
-        run fit usong map , n is the number of processes used
-        """ 
-        t0 = time.time()
-        print "start fit with %s process(es) at %s" % (str(n), time.strftime(" %H:%M:%S", time.localtime(t0)))
-        from multiprocessing import Pool
-        temp = zip(self.list_of_mapper, self.list_of_fitter, self.list_of_function)
-        results =  Pool(n).map(func=mapapply, 
-                               iterable=temp)
-        t1 = time.time()
-        print "got fit results ", time.strftime(" %H:%M:%S", time.localtime(t1)), t1 - t0
-        print len(results)
-        for result in results:
-            print result.fitness, result.stderr, result.pvec
-        t2 = time.time()
-        print "print fit1 results ", time.strftime(" %H:%M:%S", time.localtime(t2)), t2 - t1   
-                
-class testBatch(unittest.TestCase):
-    """
-    fitting
-    """  
-    def setUp(self):
-        self.test = BatchFit(qmin=None, qmax=None)
-       
-    
-    def test_fit1(self):
-        """test fit with python built in map function---- full range of each data"""
-        self.test.test_map_fit()
-        
-    def test_fit2(self):
-        """test fit with python built in map function---- common range for all data"""
-        self.test.set_range(qmin=0.013, qmax=0.05)
-        self.test.reset_value()
-        self.test.test_map_fit()
-        raise Exception("fail")
-        
-    def test_fit3(self):
-        """test fit with data full range using 1 processor and map"""
-        self.test.set_range(qmin=None, qmax=None)
-        self.test.reset_value()
-        self.test.test_map_fit(n=1)
-        
-    def test_fit4(self):
-        """test fit with a common fixed range for data using 1 processor and map"""
-        self.test.set_range(qmin=-1, qmax=10)
-        self.test.reset_value()
-        self.test.test_map_fit(n=3)
-        
-            
-if __name__ == '__main__':
-   unittest.main()
-    
-    
-    
Index: st/sasfit/test/beam profile.DAT
===================================================================
--- test/sasfit/test/beam profile.DAT	(revision c3caa49a51b161c546cf4a9fb8827070508ae30b)
+++ 	(revision )
@@ -1,54 +1,0 @@
-                                                                                
-SAXS BOX                                                                       
-       49        30         0         0         0         0         0         0
-  0.000000E+00   0.261200E+03   0.000000E+00   0.100000E+01   0.154200E+00
-  0.100000E+01   0.155999E+01   0.000000E+00   0.000000E+00   0.000000E+00
-  0.000000E+00   0.100000E+01   0.836825E+02
-  0.754396E-01   0.975440E+00   0.938981E+02
-  0.150879E+00   0.975745E+00   0.991879E+02
-  0.226319E+00   0.975473E+00   0.767819E+02
-  0.301758E+00   0.974517E+00   0.131319E+03
-  0.377198E+00   0.973001E+00   0.817830E+02
-  0.452637E+00   0.969088E+00   0.668273E+02
-  0.528077E+00   0.967890E+00   0.934950E+02
-  0.603517E+00   0.975536E+00   0.116805E+03
-  0.678956E+00   0.982809E+00   0.966191E+02
-  0.754396E+00   0.982538E+00   0.138675E+03
-  0.829835E+00   0.985082E+00  -0.100000E+01
-  0.905275E+00   0.991786E+00  -0.100000E+01
-  0.980715E+00   0.988353E+00  -0.100000E+01
-  0.105615E+01   0.977319E+00  -0.100000E+01
-  0.113159E+01   0.973398E+00  -0.100000E+01
-  0.120703E+01   0.975829E+00  -0.100000E+01
-  0.128247E+01   0.978032E+00  -0.100000E+01
-  0.135791E+01   0.977557E+00  -0.100000E+01
-  0.143335E+01   0.976422E+00  -0.100000E+01
-  0.150879E+01   0.982926E+00  -0.100000E+01
-  0.158423E+01   0.991207E+00  -0.100000E+01
-  0.165967E+01   0.982255E+00  -0.100000E+01
-  0.173511E+01   0.968295E+00  -0.100000E+01
-  0.181055E+01   0.973161E+00  -0.100000E+01
-  0.188599E+01   0.980441E+00  -0.100000E+01
-  0.196143E+01   0.973060E+00  -0.100000E+01
-  0.203687E+01   0.967479E+00  -0.100000E+01
-  0.211231E+01   0.968228E+00  -0.100000E+01
-  0.218775E+01   0.954858E+00  -0.100000E+01
-  0.226319E+01   0.920322E+00  -0.100000E+01
-  0.233863E+01   0.870665E+00  -0.100000E+01
-  0.241407E+01   0.814629E+00  -0.100000E+01
-  0.248951E+01   0.758434E+00  -0.100000E+01
-  0.256495E+01   0.694671E+00  -0.100000E+01
-  0.264039E+01   0.621470E+00  -0.100000E+01
-  0.271583E+01   0.554105E+00  -0.100000E+01
-  0.279126E+01   0.490278E+00  -0.100000E+01
-  0.286670E+01   0.408652E+00  -0.100000E+01
-  0.294214E+01   0.321530E+00  -0.100000E+01
-  0.301758E+01   0.255968E+00  -0.100000E+01
-  0.309302E+01   0.200420E+00  -0.100000E+01
-  0.316846E+01   0.140477E+00  -0.100000E+01
-  0.324390E+01   0.907699E-01  -0.100000E+01
-  0.331934E+01   0.593287E-01  -0.100000E+01
-  0.339478E+01   0.366914E-01  -0.100000E+01
-  0.347022E+01   0.198629E-01  -0.100000E+01
-  0.354566E+01   0.120037E-01  -0.100000E+01
-  0.362110E+01   0.110363E-01  -0.100000E+01
Index: st/sasfit/test/cyl_400_20.txt
===================================================================
--- test/sasfit/test/cyl_400_20.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,22 +1,0 @@
-<X>   <Y>
-0  -1.#IND
-0.025  125.852
-0.05  53.6662
-0.075  26.0733
-0.1  11.8935
-0.125  4.61714
-0.15  1.29983
-0.175  0.171347
-0.2  0.0417614
-0.225  0.172719
-0.25  0.247876
-0.275  0.20301
-0.3  0.104599
-0.325  0.0285595
-0.35  0.00213344
-0.375  0.0137511
-0.4  0.0312374
-0.425  0.0350328
-0.45  0.0243172
-0.475  0.00923067
-0.5  0.00121297
Index: st/sasfit/test/cyl_400_20_disp5r.txt
===================================================================
--- test/sasfit/test/cyl_400_20_disp5r.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,56 +1,0 @@
-<X>   <Y>
-0  -1.#IND
-0.00925926  3699.77
-0.0185185  1948.24
-0.0277778  1292.24
-0.037037  906.642
-0.0462963  668.282
-0.0555556  498.126
-0.0648148  372.525
-0.0740741  278.837
-0.0833333  206
-0.0925926  151.247
-0.101852  109.267
-0.111111  77.8737
-0.12037  54.9106
-0.12963  38.0685
-0.138889  26.412
-0.148148  18.223
-0.157407  12.7694
-0.166667  9.20492
-0.175926  6.81714
-0.185185  5.35772
-0.194444  4.31675
-0.203704  3.63387
-0.212963  3.11693
-0.222222  2.67595
-0.231481  2.34563
-0.240741  2.01327
-0.25  1.75724
-0.259259  1.52203
-0.268519  1.31636
-0.277778  1.16197
-0.287037  1.00729
-0.296296  0.898984
-0.305556  0.792852
-0.314815  0.703806
-0.324074  0.633654
-0.333333  0.558242
-0.342593  0.507251
-0.351852  0.451073
-0.361111  0.407694
-0.37037  0.37183
-0.37963  0.333724
-0.388889  0.310178
-0.398148  0.280165
-0.407407  0.25911
-0.416667  0.238428
-0.425926  0.216293
-0.435185  0.20187
-0.444444  0.18175
-0.453704  0.168949
-0.462963  0.154725
-0.472222  0.14146
-0.481481  0.132917
-0.490741  0.120593
-0.5  0.114042
Index: st/sasfit/test/cyl_400_40.txt
===================================================================
--- test/sasfit/test/cyl_400_40.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,56 +1,0 @@
-<X>   <Y>
-0  -1.#IND
-0.00925926  1246.59
-0.0185185  612.143
-0.0277778  361.142
-0.037037  211.601
-0.0462963  122.127
-0.0555556  65.2385
-0.0648148  30.8914
-0.0740741  12.4737
-0.0833333  3.51371
-0.0925926  0.721835
-0.101852  0.583607
-0.111111  1.31084
-0.12037  1.9432
-0.12963  1.94286
-0.138889  1.58912
-0.148148  0.987076
-0.157407  0.456678
-0.166667  0.147595
-0.175926  0.027441
-0.185185  0.0999575
-0.194444  0.198717
-0.203704  0.277667
-0.212963  0.288172
-0.222222  0.220056
-0.231481  0.139378
-0.240741  0.0541106
-0.25  0.0140158
-0.259259  0.0132187
-0.268519  0.0336301
-0.277778  0.0672911
-0.287037  0.0788983
-0.296296  0.0764438
-0.305556  0.0555445
-0.314815  0.0280548
-0.324074  0.0111798
-0.333333  0.00156156
-0.342593  0.00830883
-0.351852  0.0186266
-0.361111  0.0275426
-0.37037  0.03192
-0.37963  0.0255329
-0.388889  0.0175216
-0.398148  0.0073075
-0.407407  0.0016631
-0.416667  0.00224153
-0.425926  0.0051335
-0.435185  0.0112914
-0.444444  0.0138209
-0.453704  0.0137453
-0.462963  0.0106682
-0.472222  0.00532472
-0.481481  0.00230646
-0.490741  0.000335344
-0.5  0.00177224
Index: st/sasfit/test/cyl_testdata.txt
===================================================================
--- test/sasfit/test/cyl_testdata.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,43 +1,0 @@
-0.007778 1.78E+14 13335629 
-0.023333 5.32E+13 7293888 
-0.031111 3.40E+13 5833464 
-0.038889 2.18E+13 4673821 
-0.046667 1.36E+13 3694509 
-0.054444 8.21E+12 2864896 
-0.062222 4.61E+12 2147159 
-0.07 2.35E+12 1533773 
-0.077778 1.05E+12 1023851 
-0.085556 3.92E+11 626398.4 
-0.093333 1.47E+11 383624.8 
-0.101111 1.19E+11 344493.8 
-0.124444 2.58E+11 507633.7 
-0.132222 2.44E+11 493743.9 
-0.14 2.12E+11 459920.6 
-0.147778 1.64E+11 404771.5 
-0.155556 1.22E+11 348706.2 
-0.163333 8.30E+10 288011.8 
-0.171111 5.79E+10 240564.5 
-0.178889 4.41E+10 209959 
-0.186667 4.02E+10 200480.7 
-0.202222 5.33E+10 230891.5 
-0.21 4.99E+10 223441.9 
-0.217778 4.67E+10 216061.1 
-0.225556 3.93E+10 198298 
-0.233333 2.86E+10 169135.2 
-0.241111 1.79E+10 133639.4 
-0.248889 1.43E+10 119445.4 
-0.256667 9.39E+09 96907.02 
-0.264444 1.03E+10 101270.9 
-0.272222 1.03E+10 101272.4 
-0.28 9.56E+09 97788.34 
-0.287778 1.12E+10 105765.8 
-0.295556 1.05E+10 102300 
-0.303333 7.95E+09 89146.17 
-0.334444 7.92E+09 89019.55 
-0.342222 9.75E+09 98739.25 
-0.35 7.84E+09 88553.99 
-0.357778 9.78E+09 98905.86 
-0.365556 1.66E+10 128748.6 
-0.373333 9.66E+09 98285.04 
-0.381111 6.74E+09 82088.98 
-0.388889 6.26E+09 79142.34 
Index: st/sasfit/test/cyl_testdata1.txt
===================================================================
--- test/sasfit/test/cyl_testdata1.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,54 +1,0 @@
-0.007778 1.78E+14 13335629 
-0.015556 8.79E+13 9373745 
-0.023333 5.32E+13 7293888 
-0.031111 3.40E+13 5833464 
-0.038889 2.18E+13 4673821 
-0.046667 1.36E+13 3694509 
-0.054444 8.21E+12 2864896 
-0.062222 4.61E+12 2147159 
-0.07 2.35E+12 1533773 
-0.077778 1.05E+12 1023851 
-0.085556 3.92E+11 626398.4 
-0.093333 1.47E+11 383624.8 
-0.101111 1.19E+11 344493.8 
-0.108889 1.65E+11 405782 
-0.116667 2.33E+11 483191.5 
-0.124444 2.58E+11 507633.7 
-0.132222 2.44E+11 493743.9 
-0.14 2.12E+11 459920.6 
-0.147778 1.64E+11 404771.5 
-0.155556 1.22E+11 348706.2 
-0.163333 8.30E+10 288011.8 
-0.171111 5.79E+10 240564.5 
-0.178889 4.41E+10 209959 
-0.186667 4.02E+10 200480.7 
-0.194444 4.33E+10 208129.5 
-0.202222 5.33E+10 230891.5 
-0.21 4.99E+10 223441.9 
-0.217778 4.67E+10 216061.1 
-0.225556 3.93E+10 198298 
-0.233333 2.86E+10 169135.2 
-0.241111 1.79E+10 133639.4 
-0.248889 1.43E+10 119445.4 
-0.256667 9.39E+09 96907.02 
-0.264444 1.03E+10 101270.9 
-0.272222 1.03E+10 101272.4 
-0.28 9.56E+09 97788.34 
-0.287778 1.12E+10 105765.8 
-0.295556 1.05E+10 102300 
-0.303333 7.95E+09 89146.17 
-0.311111 5.42E+09 73599.25 
-0.318889 5.14E+09 71675.17 
-0.326667 5.81E+09 76192.06 
-0.334444 7.92E+09 89019.55 
-0.342222 9.75E+09 98739.25 
-0.35 7.84E+09 88553.99 
-0.357778 9.78E+09 98905.86 
-0.365556 1.66E+10 128748.6 
-0.373333 9.66E+09 98285.04 
-0.381111 6.74E+09 82088.98 
-0.388889 6.26E+09 79142.34 
-0.396667 7.47E+09 86426.79 
-0.404444 7.92E+09 88987.75 
-0.412222 7.04E+09 83895.53 
-0.42 4.67E+09 68340.98 
Index: st/sasfit/test/cylinder_data.txt
===================================================================
--- test/sasfit/test/cylinder_data.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,50 +1,0 @@
-<X>   <Y>
-0.0102041  297.463
-0.0204082  152.923
-0.0306122  100.86
-0.0408163  71.2547
-0.0510204  52.0646
-0.0612245  38.8455
-0.0714286  28.9175
-0.0816327  21.3477
-0.0918367  15.585
-0.102041  11.1027
-0.112245  7.68747
-0.122449  5.14815
-0.132653  3.2721
-0.142857  1.95416
-0.153061  1.07575
-0.163265  0.514705
-0.173469  0.203241
-0.183673  0.0633005
-0.193878  0.0261093
-0.204082  0.0564741
-0.214286  0.113684
-0.22449  0.169911
-0.234694  0.217359
-0.244898  0.243473
-0.255102  0.24596
-0.265306  0.231673
-0.27551  0.20138
-0.285714  0.161839
-0.295918  0.121477
-0.306122  0.082173
-0.316327  0.0490456
-0.326531  0.0254631
-0.336735  0.00974294
-0.346939  0.00282224
-0.357143  0.00347102
-0.367347  0.00795623
-0.377551  0.0154838
-0.387755  0.0237389
-0.397959  0.0300056
-0.408163  0.0344328
-0.418367  0.0359779
-0.428571  0.0341257
-0.438776  0.0303887
-0.44898  0.0248926
-0.459184  0.018361
-0.469388  0.0124478
-0.479592  0.00720909
-0.489796  0.00321508
-0.5  0.00121297
Index: st/sasfit/test/latex_qdev.txt
===================================================================
--- test/sasfit/test/latex_qdev.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,83 +1,0 @@
-<X>   <Y>   <dY>   <dX>
-7.7457e-005  8432.04  153.745  0
-8.3007e-005  8298.38  152.01  0
-8.8557e-005  8091.51  149.908  0
-9.4107e-005  7947.7  148.184  0
-9.9657e-005  8174.04  149.824  0
-0.000105207  7890.52  147.061  0
-0.000110757  8067.04  74.9155  0
-0.000121857  7995.24  74.0244  0
-0.000132957  7969.3  73.7818  0
-0.000144057  7953.56  73.6532  0
-0.000155157  7896.35  73.3392  0
-0.000166257  7877.91  73.1936  0
-0.000177357  7769.46  72.6739  0
-0.000188457  7746.93  72.5899  0
-0.000199557  7820.8  72.9063  0
-0.000210657  7656.83  72.1007  0
-0.000221757  7777.33  72.6551  0
-0.000232857  7613.01  71.8768  0
-0.000243957  7498.28  71.316  0
-0.000255057  7494.75  71.2836  0
-0.000266157  7266.92  70.182  0
-0.000277257  7292.37  57.4236  0
-0.000305007  7214.55  57.0526  0
-0.000332757  7103.18  56.5915  0
-0.000360507  6883.81  55.7205  0
-0.000388257  6818.14  55.4232  0
-0.000416007  6591.98  54.4991  0
-0.000443757  6420.5  53.7756  0
-0.000471507  6120.15  52.5042  0
-0.000499257  5950.12  51.7582  0
-0.000527007  5792.76  51.0591  0
-0.000554757  5524.39  43.2058  0
-0.000610257  5127.92  41.599  0
-0.000665757  4753.49  40.0733  0
-0.000721257  4355.25  38.3487  0
-0.000776757  3878.25  36.2076  0
-0.000832257  3471.25  34.2637  0
-0.000887757  3022.77  31.9597  0
-0.000943257  2600.33  29.6463  0
-0.000998757  2309.11  27.9459  0
-0.00105426  1975.45  25.8603  0
-0.00110976  1701.57  21.4532  0
-0.00122076  1156.72  17.7038  0
-0.00133176  748.659  14.2685  0
-0.00144276  465.515  11.2799  0
-0.00155376  252.307  8.35705  0
-0.00166476  157.822  6.66382  0
-0.00177576  117.146  5.78352  0
-0.00188676  93.1465  5.19397  0
-0.00199776  103.864  5.46342  0
-0.00210876  128.147  6.0333  0
-0.00221976  135.96  6.20529  0
-0.00233076  138.712  6.26599  0
-0.00244176  126.272  5.99155  0
-0.00255276  114.46  5.72081  0
-0.00266376  74.2613  4.67786  0
-0.00277476  72.3794  4.62347  0
-0.00288576  47.3385  3.82544  0
-0.00299676  36.0379  3.40491  0
-0.00310776  30.3854  3.17364  0
-0.00321876  24.7429  2.92505  0
-0.00332976  28.5101  3.09348  0
-0.00344076  27.9635  3.06924  0
-0.00355176  33.3649  3.29833  0
-0.00366276  35.237  3.37337  0
-0.00377376  29.0365  3.11578  0
-0.00388476  32.5455  3.26424  0
-0.00399576  23.1284  2.84982  0
-0.00410676  23.6642  2.87489  0
-0.00421776  19.3575  2.66567  0
-0.00432876  12.8971  2.31662  0
-0.00443976  12.8958  2.31647  0
-0.00455076  9.66256  2.12012  0
-0.00466176  9.66792  2.1208  0
-0.00477276  9.39793  2.10354  0
-0.00488376  13.7138  2.36412  0
-0.00499476  14.2495  2.39427  0
-0.00510576  9.12935  2.08632  0
-0.00521676  11.822  2.25339  0
-0.00532776  10.7551  2.18935  0
-0.00543876  11.8258  2.25385  0
-0.00554976  8.04703  2.01492  0
Index: st/sasfit/test/latex_qdev2.txt
===================================================================
--- test/sasfit/test/latex_qdev2.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,302 +1,0 @@
-<X>   <Y>   <dY>   <dX>
-0.003797  4006.06  160.351  0.00109
-0.004197  1594.13  144.194  0.001093
-0.004596  772.578  47.4453  0.001096
-0.004996  491.193  1.64213  0.0011
-0.005396  339.222  18.6638  0.001105
-0.005795  234.025  10.9659  0.001111
-0.006195  167.756  14.4727  0.001117
-0.006595  127.185  11.3388  0.001124
-0.006995  97.8743  7.72497  0.001131
-0.007394  75.7387  1.28727  0.00114
-0.007794  59.9675  5.6673  0.001148
-0.008194  48.5643  0.775068  0.001157
-0.008593  39.5624  2.9947  0.001167
-0.008993  32.4132  0.11281  0.001177
-0.009393  26.9845  1.75595  0.001187
-0.009792  22.7193  1.70873  0.001198
-0.01019  19.1396  0.870622  0.001209
-0.01059  16.3107  1.27846  0.00122
-0.01099  13.9942  1.09312  0.001232
-0.01139  12.0789  0.321913  0.001244
-0.01179  10.4539  0.82622  0.001257
-0.01219  9.10093  0.719849  0.00127
-0.01259  8.00642  0.684723  0.001283
-0.01299  7.04569  0.1667  0.001296
-0.01339  6.21725  0.153869  0.00131
-0.01374  6.74668  0.184976  0.002327
-0.01379  5.51301  0.118763  0.001324
-0.01419  4.91258  0.17697  0.001338
-0.01459  4.39  0.311353  0.001353
-0.01499  3.94346  0.38786  0.001367
-0.01505  4.50083  0.013978  0.002353
-0.01539  3.54651  0.231355  0.001382
-0.01579  3.20079  0.236882  0.001397
-0.01619  2.8957  0.0558839  0.001413
-0.01636  3.14491  0.286904  0.002381
-0.01659  2.62598  0.0778103  0.001429
-0.01699  2.38848  0.123004  0.001444
-0.01738  2.17876  0.177344  0.001461
-0.01767  2.26909  0.17148  0.002411
-0.01778  1.99128  0.077618  0.001477
-0.01818  1.82792  0.0244195  0.001493
-0.01858  1.67849  0.0887006  0.00151
-0.01898  1.68662  0.0465056  0.002444
-0.01898  1.68662  0.0287818  0.001527
-0.01938  1.4241  0.040758  0.001544
-0.01978  1.3155  0.0341713  0.001561
-0.02018  1.2177  0.0391147  0.001578
-0.02029  1.28605  0.117319  0.002479
-0.02058  1.12934  0.0695536  0.001596
-0.02098  1.04908  0.103946  0.001613
-0.02138  0.976282  0.0294678  0.001631
-0.0216  1.00273  0.01241  0.002515
-0.02178  0.911738  0.0287996  0.001649
-0.02218  0.851316  0.00949506  0.001667
-0.02258  0.79612  0.00735078  0.001685
-0.0229  0.796271  0.0803724  0.002554
-0.02298  0.745657  0.0597791  0.001703
-0.02338  0.699515  0.00790529  0.001722
-0.02378  0.657153  0.0586252  0.00174
-0.02418  0.618262  0.0168711  0.001759
-0.02421  0.644819  0.0494125  0.002594
-0.02458  0.582489  0.0188058  0.001778
-0.02498  0.549546  0.0417924  0.001797
-0.02537  0.519158  0.00547406  0.001816
-0.02552  0.530684  0.00553776  0.002636
-0.02577  0.491088  0.0220638  0.001835
-0.02617  0.465767  0.00219192  0.001854
-0.02657  0.441691  0.00224346  0.001873
-0.02683  0.442667  0.021504  0.00268
-0.02697  0.419376  0.0277205  0.001892
-0.02737  0.398683  0.00203185  0.001912
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-0.02857  0.344921  0.0340542  0.001971
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-0.02944  0.32148  0.0292489  0.002771
-0.02977  0.301413  0.0230294  0.00203
-0.03017  0.288785  0.0104349  0.00205
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-0.03075  0.278702  0.0122599  0.002819
-0.03097  0.266183  0.0212227  0.00209
-0.03137  0.2558  0.00512776  0.00211
-0.03176  0.246072  0.00419684  0.002131
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-0.03256  0.228344  0.0200454  0.002171
-0.03296  0.220281  0.0220163  0.002192
-0.03336  0.212684  0.020541  0.002212
-0.03337  0.216673  0.00536164  0.002918
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-0.03496  0.186609  0.013586  0.002295
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-0.03576  0.175605  0.0158523  0.002336
-0.03598  0.175128  0.0164386  0.003022
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-0.03656  0.165751  0.0154903  0.002378
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-0.03775  0.152848  0.00991327  0.002441
-0.03815  0.149048  0.00286749  0.002462
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-0.0386  0.146384  0.0109531  0.00313
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-0.04015  0.132475  0.00657339  0.002568
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-0.04095  0.127208  0.0113851  0.00261
-0.04121  0.125964  0.00229885  0.003241
-0.04134  0.124426  0.00470491  0.002632
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-0.04214  0.119907  0.00478612  0.002675
-0.04252  0.118032  0.00711389  0.003298
-0.04254  0.117719  0.00842475  0.002696
-0.04294  0.114902  0.00187717  0.002717
-0.04334  0.11339  0.00784272  0.002739
-0.04374  0.112055  0.00323708  0.00276
-0.04382  0.11117  0.00177199  0.003356
-0.04457  0.111162  0.00477407  0.005008
-0.04513  0.10534  0.011246  0.003414
-0.04644  0.100213  0.00950031  0.003473
-0.04774  0.0957801  0.00552336  0.003533
-0.04844  0.0962656  0.000920809  0.005127
-0.04905  0.0918706  0.00349038  0.003593
-0.05035  0.0884226  0.00115125  0.003654
-0.05166  0.0855054  0.00994029  0.003716
-0.05231  0.0867504  0.00566911  0.005254
-0.05296  0.0830818  0.00666713  0.003778
-0.05427  0.0811207  0.0074602  0.00384
-0.05557  0.079487  0.00353932  0.003903
-0.05618  0.0803397  0.00188154  0.005387
-0.05688  0.0779981  0.00915173  0.003967
-0.05818  0.0765054  0.00422076  0.004031
-0.05949  0.0750177  0.00463642  0.004095
-0.06004  0.0744534  0.000653902  0.005526
-0.06079  0.0736271  0.00378671  0.00416
-0.0621  0.0724887  0.000498991  0.004225
-0.0634  0.0716005  0.00354187  0.00429
-0.06391  0.0681489  0.00165855  0.005671
-0.0647  0.0708574  0.00389765  0.004356
-0.06601  0.0700572  0.00248225  0.004422
-0.06731  0.0691437  0.0077172  0.004488
-0.06777  0.0647272  0.00253797  0.005821
-0.06861  0.0682506  0.0064718  0.004555
-0.06991  0.0675541  0.00121909  0.004622
-0.07122  0.0671144  0.00342322  0.004689
-0.07163  0.0663921  0.00432163  0.005975
-0.07252  0.0667916  0.001663  0.004756
-0.07382  0.0663952  0.0017736  0.004824
-0.07512  0.0658687  0.00720148  0.004892
-0.07548  0.0669862  0.00178997  0.006134
-0.07642  0.0653305  0.000526446  0.00496
-0.07772  0.0649219  0.00682181  0.005029
-0.07903  0.0646575  0.00143881  0.005097
-0.07934  0.064797  0.0027576  0.006297
-0.08033  0.0644343  0.000428514  0.005166
-0.08163  0.0641604  0.0070179  0.005235
-0.08293  0.0638446  0.00535247  0.005304
-0.08319  0.0638274  0.00261353  0.006463
-0.08423  0.0635538  0.00445288  0.005373
-0.08552  0.0633235  0.00729931  0.005443
-0.08682  0.0631333  0.00299518  0.005512
-0.08704  0.0631156  0.00316068  0.006633
-0.08812  0.0629518  0.00565525  0.005582
-0.08942  0.0627731  0.00521701  0.005652
-0.09072  0.0626095  0.00463162  0.005722
-0.09089  0.0626499  0.000325069  0.006806
-0.09202  0.0624599  0.00130131  0.005792
-0.09331  0.0623193  0.0038679  0.005862
-0.09461  0.0621841  0.0017932  0.005933
-0.09473  0.0621987  0.00159306  0.006981
-0.09591  0.0620583  0.00448677  0.006003
-0.0972  0.0619407  0.0031727  0.006074
-0.0985  0.0618316  0.00644575  0.006144
-0.09857  0.0618537  0.00228425  0.00716
-0.0998  0.0617265  0.00010975  0.006215
-0.1011  0.0616292  0.00069786  0.006286
-0.1024  0.0615505  5.81126e-005  0.00734
-0.1024  0.0615505  0.00220706  0.006357
-0.1037  0.0614432  0.00461344  0.006428
-0.105  0.0613557  0.00388457  0.006499
-0.1062  0.061307  0.00342626  0.007523
-0.1063  0.0612716  0.00490766  0.00657
-0.1076  0.0611905  0.00690639  0.006642
-0.1089  0.0611136  0.00312108  0.006713
-0.1101  0.0611149  0.00631372  0.007708
-0.1102  0.0610438  0.00491988  0.006784
-0.1114  0.0609843  0.00162792  0.006856
-0.1127  0.0609359  0.000522921  0.006928
-0.1139  0.0609644  0.0018573  0.007894
-0.114  0.0608901  0.00241839  0.006999
-0.1153  0.0608509  0.0058435  0.007071
-0.1166  0.0608159  0.00494211  0.007143
-0.1177  0.0608463  0.003438  0.008083
-0.1179  0.0607827  0.00103131  0.007214
-0.1192  0.0607507  0.00108194  0.007286
-0.1205  0.0607197  0.00469422  0.007358
-0.1216  0.0607285  0.00436273  0.008272
-0.1218  0.0606901  0.00568642  0.00743
-0.1231  0.0606614  0.00493913  0.007502
-0.1243  0.0606313  0.00262958  0.007574
-0.1254  0.0605124  0.00458272  0.008464
-0.1256  0.0605978  0.000380796  0.007646
-0.1269  0.0605573  0.00616227  0.007718
-0.1282  0.0605242  0.00570397  0.00779
-0.1292  0.0602981  0.00055111  0.008656
-0.1295  0.0605001  0.00478302  0.007862
-0.1308  0.0604825  0.000855793  0.007934
-0.1321  0.0604629  0.00657395  0.008007
-0.133  0.0602505  0.00414749  0.00885
-0.1334  0.0604335  0.00304607  0.008079
-0.1346  0.0603955  0.00217981  0.008151
-0.1359  0.0603399  0.00657831  0.008223
-0.1368  0.0604853  0.00566644  0.009045
-0.1372  0.0603197  0.00534151  0.008296
-0.1385  0.0603094  0.00284853  0.008368
-0.1398  0.0602967  0.00295337  0.00844
-0.1406  0.0603607  0.00487405  0.009241
-0.1411  0.0602743  0.00349396  0.008513
-0.1423  0.060248  0.00566498  0.008585
-0.1444  0.0602321  0.00726208  0.009437
-0.1482  0.0602373  0.000551871  0.009635
-0.152  0.0601918  0.000174825  0.009833
-0.1558  0.0601626  0.00506296  0.01003
-0.1596  0.0601247  0.00275908  0.01023
-0.1633  0.0601072  0.00318664  0.01043
-0.1671  0.0600827  0.00679728  0.01063
-0.1709  0.060062  0.00510791  0.01083
-0.1746  0.0600405  0.00171873  0.01104
-0.1784  0.060017  0.00481894  0.01124
-0.1821  0.0599997  0.00523105  0.01144
-0.1859  0.0600346  0.00446256  0.01164
-0.1896  0.0600406  0.00110037  0.01185
-0.1934  0.0599392  0.00479194  0.01205
-0.1971  0.0599562  0.000864313  0.01225
-0.2008  0.0599802  0.00347171  0.01246
-0.2045  0.0599178  0.000373845  0.01266
-0.2082  0.0599556  0.00307239  0.01286
-0.2119  0.0599215  0.00516388  0.01307
-0.2156  0.0599286  0.00708695  0.01327
-0.2193  0.0599152  0.00129626  0.01348
-0.223  0.0599147  0.00657813  0.01368
-0.2267  0.0599125  0.00192308  0.01388
-0.2304  0.0599062  0.00528098  0.01409
-0.234  0.0599036  0.00450717  0.01429
-0.2377  0.059902  0.00715206  0.0145
-0.2414  0.0598986  0.000232374  0.0147
-0.245  0.0598751  0.0014432  0.0149
-0.2486  0.0598816  0.00708249  0.01511
-0.2523  0.0598949  0.00121759  0.01531
-0.2559  0.0598726  0.00278898  0.01551
-0.2595  0.0598866  0.00590043  0.01571
-0.2631  0.0598715  0.0050679  0.01592
-0.2667  0.0598797  0.00413815  0.01612
-0.2703  0.0598696  0.000570358  0.01632
-0.2739  0.0598747  0.00514749  0.01652
-0.2775  0.0598711  0.00233949  0.01673
-0.2811  0.0598652  0.00130688  0.01693
-0.2847  0.0598696  0.00145841  0.01713
-0.2882  0.0598647  0.0064527  0.01733
-0.2918  0.0598627  0.00743014  0.01753
-0.2953  0.0598615  0.00159526  0.01773
-0.2988  0.0598641  0.00532105  0.01793
-0.3024  0.0598612  0.00362077  0.01813
-0.3059  0.0598554  0.000694343  0.01833
-0.3094  0.0598611  0.000164907  0.01853
-0.3129  0.0598565  0.000292255  0.01873
-0.3164  0.0598574  0.00173369  0.01893
-0.3199  0.0598565  0.00656001  0.01912
-0.3234  0.0598545  0.0014528  0.01932
-0.3268  0.059854  0.000379713  0.01952
-0.3303  0.0598554  0.000238661  0.01972
-0.3338  0.0598527  0.00604867  0.01991
-0.3372  0.0598518  0.00241504  0.02011
-0.3406  0.0598537  0.00486344  0.0203
-0.3441  0.05985  0.00299483  0.0205
-0.3475  0.059851  0.00582814  0.0207
-0.3509  0.0598507  0.003436  0.02089
-0.3543  0.0598513  0.00375554  0.02108
-0.3577  0.059847  0.00145158  0.02128
-0.3611  0.0598505  0.00265475  0.02147
-0.3645  0.0598483  0.00674573  0.02166
-0.3678  0.0598487  0.00111161  0.02186
-0.3712  0.0598477  0.0030374  0.02205
-0.3745  0.0598483  0.00364758  0.02224
-0.3779  0.0598469  0.00247959  0.02243
-0.3812  0.0598471  0.003716  0.02262
-0.3845  0.0598463  0.00453922  0.02281
-0.3878  0.0598466  0.00677953  0.023
-0.3911  0.0598456  0.0072377  0.02319
-0.3944  0.0598463  0.00259365  0.02338
-0.3977  0.059845  0.00205279  0.02357
-0.401  0.0598462  0.00379298  0.02375
Index: st/sasfit/test/latex_smeared.xml
===================================================================
--- test/sasfit/test/latex_smeared.xml	(revision c3caa49a51b161c546cf4a9fb8827070508ae30b)
+++ 	(revision )
@@ -1,885 +1,0 @@
-<?xml version="1.0"?>
-
-<?xml-stylesheet type="text/xsl" href="example.xsl" ?>
-
-<SASroot version="1.0"
-
-    xmlns="cansas1d/1.0"
-
-    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-
-    xsi:schemaLocation="cansas1d/1.0 http://svn.smallangles.net/svn/canSAS/1dwg/trunk/cansas1d.xsd"
-
-    >
-
-	<SASentry>
-
-		<Title>latex particles 0.5micron diameter in D2O Qdev</Title>
-
-		<Run>latex_sans</Run>
-
-		<SASdata>
-
-			<Idata><Q unit="1/A">0.003797</Q><I unit="1/cm">4006.05896074137</I><Idev unit="1/cm">160.350516888371</Idev><Qdev unit="1/A">0.00109</Qdev><Qmean unit="1/A">0.003945</Qmean><Shadowfactor>0.9956</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.004197</Q><I unit="1/cm">1594.1292143245</I><Idev unit="1/cm">144.193913580953</Idev><Qdev unit="1/A">0.001093</Qdev><Qmean unit="1/A">0.004328</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.004596</Q><I unit="1/cm">772.577974895497</I><Idev unit="1/cm">47.4452686423936</Idev><Qdev unit="1/A">0.001096</Qdev><Qmean unit="1/A">0.004716</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.004996</Q><I unit="1/cm">491.192789065555</I><Idev unit="1/cm">1.64212795726675</Idev><Qdev unit="1/A">0.0011</Qdev><Qmean unit="1/A">0.005106</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.005396</Q><I unit="1/cm">339.222462507531</I><Idev unit="1/cm">18.6638380002217</Idev><Qdev unit="1/A">0.001105</Qdev><Qmean unit="1/A">0.005498</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.005795</Q><I unit="1/cm">234.025331038665</I><Idev unit="1/cm">10.9659413510261</Idev><Qdev unit="1/A">0.001111</Qdev><Qmean unit="1/A">0.00589</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.006195</Q><I unit="1/cm">167.755826933366</I><Idev unit="1/cm">14.4727399222556</Idev><Qdev unit="1/A">0.001117</Qdev><Qmean unit="1/A">0.006284</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.006595</Q><I unit="1/cm">127.184502137658</I><Idev unit="1/cm">11.3388420587577</Idev><Qdev unit="1/A">0.001124</Qdev><Qmean unit="1/A">0.006678</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.006995</Q><I unit="1/cm">97.8743226629875</I><Idev unit="1/cm">7.72496924983092</Idev><Qdev unit="1/A">0.001131</Qdev><Qmean unit="1/A">0.007073</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.007394</Q><I unit="1/cm">75.7387226323965</I><Idev unit="1/cm">1.28726671212578</Idev><Qdev unit="1/A">0.00114</Qdev><Qmean unit="1/A">0.007468</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.007794</Q><I unit="1/cm">59.9674693155301</I><Idev unit="1/cm">5.66729694206856</Idev><Qdev unit="1/A">0.001148</Qdev><Qmean unit="1/A">0.007864</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.008194</Q><I unit="1/cm">48.5642877717183</I><Idev unit="1/cm">0.775068066134696</Idev><Qdev unit="1/A">0.001157</Qdev><Qmean unit="1/A">0.008261</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.008593</Q><I unit="1/cm">39.562368466145</I><Idev unit="1/cm">2.99469690504217</Idev><Qdev unit="1/A">0.001167</Qdev><Qmean unit="1/A">0.008657</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.008993</Q><I unit="1/cm">32.4131561966359</I><Idev unit="1/cm">0.112809624406009</Idev><Qdev unit="1/A">0.001177</Qdev><Qmean unit="1/A">0.009054</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.009393</Q><I unit="1/cm">26.9845122194651</I><Idev unit="1/cm">1.7559522605892</Idev><Qdev unit="1/A">0.001187</Qdev><Qmean unit="1/A">0.009451</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.009792</Q><I unit="1/cm">22.7193453130392</I><Idev unit="1/cm">1.70872993541491</Idev><Qdev unit="1/A">0.001198</Qdev><Qmean unit="1/A">0.009848</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.01019</Q><I unit="1/cm">19.1396044557923</I><Idev unit="1/cm">0.870622123390108</Idev><Qdev unit="1/A">0.001209</Qdev><Qmean unit="1/A">0.01025</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.01059</Q><I unit="1/cm">16.3106897029038</I><Idev unit="1/cm">1.2784566380161</Idev><Qdev unit="1/A">0.00122</Qdev><Qmean unit="1/A">0.01064</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.01099</Q><I unit="1/cm">13.9942384293878</I><Idev unit="1/cm">1.09311729425028</Idev><Qdev unit="1/A">0.001232</Qdev><Qmean unit="1/A">0.01104</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.01139</Q><I unit="1/cm">12.0788620780442</I><Idev unit="1/cm">0.321912704167634</Idev><Qdev unit="1/A">0.001244</Qdev><Qmean unit="1/A">0.01144</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.01179</Q><I unit="1/cm">10.4538680640273</I><Idev unit="1/cm">0.826219886472332</Idev><Qdev unit="1/A">0.001257</Qdev><Qmean unit="1/A">0.01184</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01379</Q><I unit="1/cm">5.51301078640481</I><Idev unit="1/cm">0.118762537848476</Idev><Qdev unit="1/A">0.001324</Qdev><Qmean unit="1/A">0.01383</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01419</Q><I unit="1/cm">4.91258237718056</I><Idev unit="1/cm">0.176969813745123</Idev><Qdev unit="1/A">0.001338</Qdev><Qmean unit="1/A">0.01423</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01459</Q><I unit="1/cm">4.38999875927883</I><Idev unit="1/cm">0.311353476052822</Idev><Qdev unit="1/A">0.001353</Qdev><Qmean unit="1/A">0.01463</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01499</Q><I unit="1/cm">3.94346403459969</I><Idev unit="1/cm">0.387860159730271</Idev><Qdev unit="1/A">0.001367</Qdev><Qmean unit="1/A">0.01502</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01505</Q><I unit="1/cm">4.50082504231816</I><Idev unit="1/cm">0.0139779788973798</Idev><Qdev unit="1/A">0.002353</Qdev><Qmean unit="1/A">0.01521</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01539</Q><I unit="1/cm">3.54650814465845</I><Idev unit="1/cm">0.231354575544875</Idev><Qdev unit="1/A">0.001382</Qdev><Qmean unit="1/A">0.01542</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01579</Q><I unit="1/cm">3.20079465045656</I><Idev unit="1/cm">0.236881998414208</Idev><Qdev unit="1/A">0.001397</Qdev><Qmean unit="1/A">0.01582</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01619</Q><I unit="1/cm">2.89569892696003</I><Idev unit="1/cm">0.0558838715831364</Idev><Qdev unit="1/A">0.001413</Qdev><Qmean unit="1/A">0.01622</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01636</Q><I unit="1/cm">3.14491132919071</I><Idev unit="1/cm">0.286903957843761</Idev><Qdev unit="1/A">0.002381</Qdev><Qmean unit="1/A">0.0165</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01659</Q><I unit="1/cm">2.62598011992341</I><Idev unit="1/cm">0.0778103209577416</Idev><Qdev unit="1/A">0.001429</Qdev><Qmean unit="1/A">0.01662</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01699</Q><I unit="1/cm">2.38848351112502</I><Idev unit="1/cm">0.123003804813548</Idev><Qdev unit="1/A">0.001444</Qdev><Qmean unit="1/A">0.01702</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01738</Q><I unit="1/cm">2.17876187277835</I><Idev unit="1/cm">0.177344328232719</Idev><Qdev unit="1/A">0.001461</Qdev><Qmean unit="1/A">0.01742</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01767</Q><I unit="1/cm">2.26908817318902</I><Idev unit="1/cm">0.171479862774944</Idev><Qdev unit="1/A">0.002411</Qdev><Qmean unit="1/A">0.0178</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01778</Q><I unit="1/cm">1.99127729706612</I><Idev unit="1/cm">0.0776180412490532</Idev><Qdev unit="1/A">0.001477</Qdev><Qmean unit="1/A">0.01782</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01818</Q><I unit="1/cm">1.82791800631361</I><Idev unit="1/cm">0.0244195325473987</Idev><Qdev unit="1/A">0.001493</Qdev><Qmean unit="1/A">0.01821</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01858</Q><I unit="1/cm">1.67848509472461</I><Idev unit="1/cm">0.0887006173311792</Idev><Qdev unit="1/A">0.00151</Qdev><Qmean unit="1/A">0.01861</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01898</Q><I unit="1/cm">1.68661526173643</I><Idev unit="1/cm">0.0465056210763128</Idev><Qdev unit="1/A">0.002444</Qdev><Qmean unit="1/A">0.0191</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01898</Q><I unit="1/cm">1.68661526173643</I><Idev unit="1/cm">0.0287818270155056</Idev><Qdev unit="1/A">0.001527</Qdev><Qmean unit="1/A">0.01901</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01938</Q><I unit="1/cm">1.42409914349359</I><Idev unit="1/cm">0.0407580018820144</Idev><Qdev unit="1/A">0.001544</Qdev><Qmean unit="1/A">0.01941</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.01978</Q><I unit="1/cm">1.31550314607982</I><Idev unit="1/cm">0.0341712929199376</Idev><Qdev unit="1/A">0.001561</Qdev><Qmean unit="1/A">0.01981</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02018</Q><I unit="1/cm">1.21769505061127</I><Idev unit="1/cm">0.0391146947477466</Idev><Qdev unit="1/A">0.001578</Qdev><Qmean unit="1/A">0.02021</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02029</Q><I unit="1/cm">1.28605198884776</I><Idev unit="1/cm">0.117319377167684</Idev><Qdev unit="1/A">0.002479</Qdev><Qmean unit="1/A">0.0204</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02058</Q><I unit="1/cm">1.12934269342291</I><Idev unit="1/cm">0.0695535935594028</Idev><Qdev unit="1/A">0.001596</Qdev><Qmean unit="1/A">0.02061</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02098</Q><I unit="1/cm">1.04908270996237</I><Idev unit="1/cm">0.103945865391001</Idev><Qdev unit="1/A">0.001613</Qdev><Qmean unit="1/A">0.02101</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02138</Q><I unit="1/cm">0.976282250802788</I><Idev unit="1/cm">0.0294678419183636</Idev><Qdev unit="1/A">0.001631</Qdev><Qmean unit="1/A">0.02141</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.0216</Q><I unit="1/cm">1.00272837079373</I><Idev unit="1/cm">0.0124100240987653</Idev><Qdev unit="1/A">0.002515</Qdev><Qmean unit="1/A">0.0217</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02178</Q><I unit="1/cm">0.911737853213214</I><Idev unit="1/cm">0.0287995848932864</Idev><Qdev unit="1/A">0.001649</Qdev><Qmean unit="1/A">0.0218</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02218</Q><I unit="1/cm">0.851315660791169</I><Idev unit="1/cm">0.00949505713408692</Idev><Qdev unit="1/A">0.001667</Qdev><Qmean unit="1/A">0.0222</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02258</Q><I unit="1/cm">0.796120161506339</I><Idev unit="1/cm">0.00735078128024068</Idev><Qdev unit="1/A">0.001685</Qdev><Qmean unit="1/A">0.0226</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.0229</Q><I unit="1/cm">0.796270874403319</I><Idev unit="1/cm">0.0803724084027472</Idev><Qdev unit="1/A">0.002554</Qdev><Qmean unit="1/A">0.02301</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02298</Q><I unit="1/cm">0.745657450200667</I><Idev unit="1/cm">0.059779068825452</Idev><Qdev unit="1/A">0.001703</Qdev><Qmean unit="1/A">0.023</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02338</Q><I unit="1/cm">0.699514756231151</I><Idev unit="1/cm">0.00790528516519376</Idev><Qdev unit="1/A">0.001722</Qdev><Qmean unit="1/A">0.0234</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02378</Q><I unit="1/cm">0.65715264050569</I><Idev unit="1/cm">0.0586251853969212</Idev><Qdev unit="1/A">0.00174</Qdev><Qmean unit="1/A">0.0238</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02418</Q><I unit="1/cm">0.618262281205102</I><Idev unit="1/cm">0.0168711285503726</Idev><Qdev unit="1/A">0.001759</Qdev><Qmean unit="1/A">0.0242</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02421</Q><I unit="1/cm">0.644819133988899</I><Idev unit="1/cm">0.0494125214193752</Idev><Qdev unit="1/A">0.002594</Qdev><Qmean unit="1/A">0.02431</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02458</Q><I unit="1/cm">0.582489093815054</I><Idev unit="1/cm">0.0188057515484036</Idev><Qdev unit="1/A">0.001778</Qdev><Qmean unit="1/A">0.0246</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02498</Q><I unit="1/cm">0.549545690031832</I><Idev unit="1/cm">0.0417923893167032</Idev><Qdev unit="1/A">0.001797</Qdev><Qmean unit="1/A">0.025</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02537</Q><I unit="1/cm">0.519158483003037</I><Idev unit="1/cm">0.00547405917074116</Idev><Qdev unit="1/A">0.001816</Qdev><Qmean unit="1/A">0.0254</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02552</Q><I unit="1/cm">0.530683804646732</I><Idev unit="1/cm">0.0055377606424412</Idev><Qdev unit="1/A">0.002636</Qdev><Qmean unit="1/A">0.02561</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02577</Q><I unit="1/cm">0.491088414959934</I><Idev unit="1/cm">0.0220638376659903</Idev><Qdev unit="1/A">0.001835</Qdev><Qmean unit="1/A">0.0258</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02617</Q><I unit="1/cm">0.465766983148075</I><Idev unit="1/cm">0.00219192354124381</Idev><Qdev unit="1/A">0.001854</Qdev><Qmean unit="1/A">0.02619</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02657</Q><I unit="1/cm">0.441691463896423</I><Idev unit="1/cm">0.00224346396292702</Idev><Qdev unit="1/A">0.001873</Qdev><Qmean unit="1/A">0.02659</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02683</Q><I unit="1/cm">0.442666910956566</I><Idev unit="1/cm">0.0215039698815934</Idev><Qdev unit="1/A">0.00268</Qdev><Qmean unit="1/A">0.02692</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02697</Q><I unit="1/cm">0.419375781086374</I><Idev unit="1/cm">0.0277204867647122</Idev><Qdev unit="1/A">0.001892</Qdev><Qmean unit="1/A">0.02699</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02737</Q><I unit="1/cm">0.398682938030571</I><Idev unit="1/cm">0.00203185153971183</Idev><Qdev unit="1/A">0.001912</Qdev><Qmean unit="1/A">0.02739</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02777</Q><I unit="1/cm">0.379442001854766</I><Idev unit="1/cm">0.0180345924155163</Idev><Qdev unit="1/A">0.001931</Qdev><Qmean unit="1/A">0.02779</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02814</Q><I unit="1/cm">0.374855701327087</I><Idev unit="1/cm">0.000629509477568996</Idev><Qdev unit="1/A">0.002725</Qdev><Qmean unit="1/A">0.02822</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02817</Q><I unit="1/cm">0.361565025292849</I><Idev unit="1/cm">0.00226870013564266</Idev><Qdev unit="1/A">0.001951</Qdev><Qmean unit="1/A">0.02819</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02857</Q><I unit="1/cm">0.344920584388848</I><Idev unit="1/cm">0.0340542095504553</Idev><Qdev unit="1/A">0.001971</Qdev><Qmean unit="1/A">0.02859</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02897</Q><I unit="1/cm">0.329394913469722</I><Idev unit="1/cm">0.00707027436457572</Idev><Qdev unit="1/A">0.00199</Qdev><Qmean unit="1/A">0.02899</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02944</Q><I unit="1/cm">0.321479507858024</I><Idev unit="1/cm">0.0292488886883381</Idev><Qdev unit="1/A">0.002771</Qdev><Qmean unit="1/A">0.02952</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.02977</Q><I unit="1/cm">0.301413481064123</I><Idev unit="1/cm">0.0230294151791749</Idev><Qdev unit="1/A">0.00203</Qdev><Qmean unit="1/A">0.02979</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03017</Q><I unit="1/cm">0.288785128600725</I><Idev unit="1/cm">0.0104349423686301</Idev><Qdev unit="1/A">0.00205</Qdev><Qmean unit="1/A">0.03019</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03057</Q><I unit="1/cm">0.277262775698961</I><Idev unit="1/cm">0.0231222680213251</Idev><Qdev unit="1/A">0.00207</Qdev><Qmean unit="1/A">0.03058</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03075</Q><I unit="1/cm">0.278702012332152</I><Idev unit="1/cm">0.0122598703608383</Idev><Qdev unit="1/A">0.002819</Qdev><Qmean unit="1/A">0.03083</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03097</Q><I unit="1/cm">0.266182575065651</I><Idev unit="1/cm">0.0212226662246979</Idev><Qdev unit="1/A">0.00209</Qdev><Qmean unit="1/A">0.03098</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03137</Q><I unit="1/cm">0.255800189819289</I><Idev unit="1/cm">0.00512775943742396</Idev><Qdev unit="1/A">0.00211</Qdev><Qmean unit="1/A">0.03138</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03176</Q><I unit="1/cm">0.246071817168687</I><Idev unit="1/cm">0.00419683570305196</Idev><Qdev unit="1/A">0.002131</Qdev><Qmean unit="1/A">0.03178</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.03895</Q><I unit="1/cm">0.141916892298913</I><Idev unit="1/cm">0.00406869243218332</Idev><Qdev unit="1/A">0.002504</Qdev><Qmean unit="1/A">0.03896</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.05231</Q><I unit="1/cm">0.0867503520668501</I><Idev unit="1/cm">0.00566910671351808</Idev><Qdev unit="1/A">0.005254</Qdev><Qmean unit="1/A">0.05248</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.05427</Q><I unit="1/cm">0.0811206646116662</I><Idev unit="1/cm">0.0074601970394538</Idev><Qdev unit="1/A">0.00384</Qdev><Qmean unit="1/A">0.05431</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.05688</Q><I unit="1/cm">0.0779981227075428</I><Idev unit="1/cm">0.00915172656608852</Idev><Qdev unit="1/A">0.003967</Qdev><Qmean unit="1/A">0.05692</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.05949</Q><I unit="1/cm">0.0750176646191393</I><Idev unit="1/cm">0.00463641959504044</Idev><Qdev unit="1/A">0.004095</Qdev><Qmean unit="1/A">0.05953</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.06079</Q><I unit="1/cm">0.0736271429569049</I><Idev unit="1/cm">0.00378670965514223</Idev><Qdev unit="1/A">0.00416</Qdev><Qmean unit="1/A">0.06083</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.0621</Q><I unit="1/cm">0.0724886888785603</I><Idev unit="1/cm">0.000498990519808252</Idev><Qdev unit="1/A">0.004225</Qdev><Qmean unit="1/A">0.06213</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.07163</Q><I unit="1/cm">0.0663920545826557</I><Idev unit="1/cm">0.00432162646186284</Idev><Qdev unit="1/A">0.005975</Qdev><Qmean unit="1/A">0.07175</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.08704</Q><I unit="1/cm">0.0631156097548716</I><Idev unit="1/cm">0.00316067551657405</Idev><Qdev unit="1/A">0.006633</Qdev><Qmean unit="1/A">0.08714</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.09072</Q><I unit="1/cm">0.0626094704452542</I><Idev unit="1/cm">0.00463161951888352</Idev><Qdev unit="1/A">0.005722</Qdev><Qmean unit="1/A">0.09074</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.09089</Q><I unit="1/cm">0.0626498650385704</I><Idev unit="1/cm">0.000325069344399684</Idev><Qdev unit="1/A">0.006806</Qdev><Qmean unit="1/A">0.09099</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.0998</Q><I unit="1/cm">0.0617264618148268</I><Idev unit="1/cm">0.0001097496986634</Idev><Qdev unit="1/A">0.006215</Qdev><Qmean unit="1/A">0.09982</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1127</Q><I unit="1/cm">0.0609358807035418</I><Idev unit="1/cm">0.000522920964234972</Idev><Qdev unit="1/A">0.006928</Qdev><Qmean unit="1/A">0.1128</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1139</Q><I unit="1/cm">0.060964369439983</I><Idev unit="1/cm">0.00185730485700522</Idev><Qdev unit="1/A">0.007894</Qdev><Qmean unit="1/A">0.114</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1179</Q><I unit="1/cm">0.0607826589407479</I><Idev unit="1/cm">0.00103131112545898</Idev><Qdev unit="1/A">0.007214</Qdev><Qmean unit="1/A">0.1179</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1192</Q><I unit="1/cm">0.0607507027685334</I><Idev unit="1/cm">0.00108194265797187</Idev><Qdev unit="1/A">0.007286</Qdev><Qmean unit="1/A">0.1192</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1205</Q><I unit="1/cm">0.060719730830305</I><Idev unit="1/cm">0.00469421713508036</Idev><Qdev unit="1/A">0.007358</Qdev><Qmean unit="1/A">0.1205</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1216</Q><I unit="1/cm">0.0607285245479243</I><Idev unit="1/cm">0.0043627306729732</Idev><Qdev unit="1/A">0.008272</Qdev><Qmean unit="1/A">0.1216</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1218</Q><I unit="1/cm">0.0606901464421876</I><Idev unit="1/cm">0.005686418241669</Idev><Qdev unit="1/A">0.00743</Qdev><Qmean unit="1/A">0.1218</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1231</Q><I unit="1/cm">0.0606614020999667</I><Idev unit="1/cm">0.00493913438232264</Idev><Qdev unit="1/A">0.007502</Qdev><Qmean unit="1/A">0.1231</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1243</Q><I unit="1/cm">0.0606313386557632</I><Idev unit="1/cm">0.00262957905619337</Idev><Qdev unit="1/A">0.007574</Qdev><Qmean unit="1/A">0.1244</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1254</Q><I unit="1/cm">0.0605123867148291</I><Idev unit="1/cm">0.0045827157277498</Idev><Qdev unit="1/A">0.008464</Qdev><Qmean unit="1/A">0.1254</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1256</Q><I unit="1/cm">0.0605977537543078</I><Idev unit="1/cm">0.000380795660094707</Idev><Qdev unit="1/A">0.007646</Qdev><Qmean unit="1/A">0.1257</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1269</Q><I unit="1/cm">0.0605572967948118</I><Idev unit="1/cm">0.00616226532768536</Idev><Qdev unit="1/A">0.007718</Qdev><Qmean unit="1/A">0.1269</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1282</Q><I unit="1/cm">0.0605242010906595</I><Idev unit="1/cm">0.00570396690670424</Idev><Qdev unit="1/A">0.00779</Qdev><Qmean unit="1/A">0.1282</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1292</Q><I unit="1/cm">0.060298115041447</I><Idev unit="1/cm">0.000551109837639756</Idev><Qdev unit="1/A">0.008656</Qdev><Qmean unit="1/A">0.1293</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1295</Q><I unit="1/cm">0.0605001047494084</I><Idev unit="1/cm">0.00478302389749476</Idev><Qdev unit="1/A">0.007862</Qdev><Qmean unit="1/A">0.1295</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1308</Q><I unit="1/cm">0.0604825383613427</I><Idev unit="1/cm">0.000855793307535084</Idev><Qdev unit="1/A">0.007934</Qdev><Qmean unit="1/A">0.1308</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1321</Q><I unit="1/cm">0.0604629047731714</I><Idev unit="1/cm">0.0065739509959126</Idev><Qdev unit="1/A">0.008007</Qdev><Qmean unit="1/A">0.1321</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1334</Q><I unit="1/cm">0.060433494138156</I><Idev unit="1/cm">0.00304606998489991</Idev><Qdev unit="1/A">0.008079</Qdev><Qmean unit="1/A">0.1334</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1372</Q><I unit="1/cm">0.0603196598246341</I><Idev unit="1/cm">0.00534151465141852</Idev><Qdev unit="1/A">0.008296</Qdev><Qmean unit="1/A">0.1372</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1385</Q><I unit="1/cm">0.060309375532759</I><Idev unit="1/cm">0.00284852938606321</Idev><Qdev unit="1/A">0.008368</Qdev><Qmean unit="1/A">0.1385</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1398</Q><I unit="1/cm">0.0602967436271026</I><Idev unit="1/cm">0.00295336795952682</Idev><Qdev unit="1/A">0.00844</Qdev><Qmean unit="1/A">0.1398</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1406</Q><I unit="1/cm">0.0603607137051181</I><Idev unit="1/cm">0.00487404736393792</Idev><Qdev unit="1/A">0.009241</Qdev><Qmean unit="1/A">0.1407</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1411</Q><I unit="1/cm">0.0602742613941729</I><Idev unit="1/cm">0.00349395972226982</Idev><Qdev unit="1/A">0.008513</Qdev><Qmean unit="1/A">0.1411</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1423</Q><I unit="1/cm">0.0602479668885315</I><Idev unit="1/cm">0.005664978076193</Idev><Qdev unit="1/A">0.008585</Qdev><Qmean unit="1/A">0.1424</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1444</Q><I unit="1/cm">0.0602321387683859</I><Idev unit="1/cm">0.00726208362318404</Idev><Qdev unit="1/A">0.009437</Qdev><Qmean unit="1/A">0.1445</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1482</Q><I unit="1/cm">0.0602373449409927</I><Idev unit="1/cm">0.000551871069496724</Idev><Qdev unit="1/A">0.009635</Qdev><Qmean unit="1/A">0.1483</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.1558</Q><I unit="1/cm">0.0601626483154205</I><Idev unit="1/cm">0.00506295625874152</Idev><Qdev unit="1/A">0.01003</Qdev><Qmean unit="1/A">0.1558</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2008</Q><I unit="1/cm">0.0599802397897324</I><Idev unit="1/cm">0.0034717120216067</Idev><Qdev unit="1/A">0.01246</Qdev><Qmean unit="1/A">0.2008</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2045</Q><I unit="1/cm">0.0599178286727727</I><Idev unit="1/cm">0.00037384535848055</Idev><Qdev unit="1/A">0.01266</Qdev><Qmean unit="1/A">0.2046</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2082</Q><I unit="1/cm">0.0599556160980537</I><Idev unit="1/cm">0.00307239247384116</Idev><Qdev unit="1/A">0.01286</Qdev><Qmean unit="1/A">0.2083</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2119</Q><I unit="1/cm">0.0599215170670492</I><Idev unit="1/cm">0.00516387789630184</Idev><Qdev unit="1/A">0.01307</Qdev><Qmean unit="1/A">0.212</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2156</Q><I unit="1/cm">0.0599285612216116</I><Idev unit="1/cm">0.00708695318052664</Idev><Qdev unit="1/A">0.01327</Qdev><Qmean unit="1/A">0.2157</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2193</Q><I unit="1/cm">0.0599152304890063</I><Idev unit="1/cm">0.00129626063050738</Idev><Qdev unit="1/A">0.01348</Qdev><Qmean unit="1/A">0.2194</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.223</Q><I unit="1/cm">0.0599146575372292</I><Idev unit="1/cm">0.00657812531638604</Idev><Qdev unit="1/A">0.01368</Qdev><Qmean unit="1/A">0.2231</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2267</Q><I unit="1/cm">0.0599124723616312</I><Idev unit="1/cm">0.0019230796710478</Idev><Qdev unit="1/A">0.01388</Qdev><Qmean unit="1/A">0.2267</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2304</Q><I unit="1/cm">0.0599061632185743</I><Idev unit="1/cm">0.00528098181232892</Idev><Qdev unit="1/A">0.01409</Qdev><Qmean unit="1/A">0.2304</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.234</Q><I unit="1/cm">0.059903578323727</I><Idev unit="1/cm">0.00450716588007848</Idev><Qdev unit="1/A">0.01429</Qdev><Qmean unit="1/A">0.2341</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2377</Q><I unit="1/cm">0.0599019693196267</I><Idev unit="1/cm">0.00715205822448168</Idev><Qdev unit="1/A">0.0145</Qdev><Qmean unit="1/A">0.2377</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2414</Q><I unit="1/cm">0.0598985623373038</I><Idev unit="1/cm">0.000232373714606139</Idev><Qdev unit="1/A">0.0147</Qdev><Qmean unit="1/A">0.2414</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.245</Q><I unit="1/cm">0.0598750516967508</I><Idev unit="1/cm">0.00144320427650416</Idev><Qdev unit="1/A">0.0149</Qdev><Qmean unit="1/A">0.245</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2486</Q><I unit="1/cm">0.0598815532278908</I><Idev unit="1/cm">0.00708248747291248</Idev><Qdev unit="1/A">0.01511</Qdev><Qmean unit="1/A">0.2487</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2523</Q><I unit="1/cm">0.0598948998661915</I><Idev unit="1/cm">0.00121759188786928</Idev><Qdev unit="1/A">0.01531</Qdev><Qmean unit="1/A">0.2523</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2559</Q><I unit="1/cm">0.0598726139874623</I><Idev unit="1/cm">0.00278897820945736</Idev><Qdev unit="1/A">0.01551</Qdev><Qmean unit="1/A">0.2559</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2595</Q><I unit="1/cm">0.0598865763133905</I><Idev unit="1/cm">0.00590043083256296</Idev><Qdev unit="1/A">0.01571</Qdev><Qmean unit="1/A">0.2596</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2631</Q><I unit="1/cm">0.0598714989657985</I><Idev unit="1/cm">0.00506789735621128</Idev><Qdev unit="1/A">0.01592</Qdev><Qmean unit="1/A">0.2632</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2667</Q><I unit="1/cm">0.0598796938486174</I><Idev unit="1/cm">0.00413814983082576</Idev><Qdev unit="1/A">0.01612</Qdev><Qmean unit="1/A">0.2668</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2703</Q><I unit="1/cm">0.0598695847941254</I><Idev unit="1/cm">0.000570358074717744</Idev><Qdev unit="1/A">0.01632</Qdev><Qmean unit="1/A">0.2704</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2739</Q><I unit="1/cm">0.0598746609102166</I><Idev unit="1/cm">0.00514749477354896</Idev><Qdev unit="1/A">0.01652</Qdev><Qmean unit="1/A">0.274</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.2775</Q><I unit="1/cm">0.0598710946052492</I><Idev unit="1/cm">0.00233949375949796</Idev><Qdev unit="1/A">0.01673</Qdev><Qmean unit="1/A">0.2775</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2811</Q><I unit="1/cm">0.0598651661820699</I><Idev unit="1/cm">0.0013068816502873</Idev><Qdev unit="1/A">0.01693</Qdev><Qmean unit="1/A">0.2811</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2847</Q><I unit="1/cm">0.059869579181067</I><Idev unit="1/cm">0.00145840607426022</Idev><Qdev unit="1/A">0.01713</Qdev><Qmean unit="1/A">0.2847</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2882</Q><I unit="1/cm">0.0598647053691857</I><Idev unit="1/cm">0.00645270241890912</Idev><Qdev unit="1/A">0.01733</Qdev><Qmean unit="1/A">0.2882</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2918</Q><I unit="1/cm">0.0598626946445512</I><Idev unit="1/cm">0.00743014395660804</Idev><Qdev unit="1/A">0.01753</Qdev><Qmean unit="1/A">0.2918</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.2953</Q><I unit="1/cm">0.0598615272479092</I><Idev unit="1/cm">0.00159526300663046</Idev><Qdev unit="1/A">0.01773</Qdev><Qmean unit="1/A">0.2953</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.2988</Q><I unit="1/cm">0.0598641396420646</I><Idev unit="1/cm">0.00532105445563836</Idev><Qdev unit="1/A">0.01793</Qdev><Qmean unit="1/A">0.2989</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3024</Q><I unit="1/cm">0.0598612295806549</I><Idev unit="1/cm">0.00362076758305341</Idev><Qdev unit="1/A">0.01813</Qdev><Qmean unit="1/A">0.3024</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3059</Q><I unit="1/cm">0.0598553782115866</I><Idev unit="1/cm">0.000694342700495228</Idev><Qdev unit="1/A">0.01833</Qdev><Qmean unit="1/A">0.3059</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3094</Q><I unit="1/cm">0.0598611284593141</I><Idev unit="1/cm">0.000164906970711582</Idev><Qdev unit="1/A">0.01853</Qdev><Qmean unit="1/A">0.3094</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3129</Q><I unit="1/cm">0.0598564807267493</I><Idev unit="1/cm">0.000292255202139402</Idev><Qdev unit="1/A">0.01873</Qdev><Qmean unit="1/A">0.3129</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3164</Q><I unit="1/cm">0.0598574055729553</I><Idev unit="1/cm">0.00173368799879996</Idev><Qdev unit="1/A">0.01893</Qdev><Qmean unit="1/A">0.3164</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3199</Q><I unit="1/cm">0.0598565118552629</I><Idev unit="1/cm">0.00656001236562596</Idev><Qdev unit="1/A">0.01912</Qdev><Qmean unit="1/A">0.3199</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3234</Q><I unit="1/cm">0.059854469989597</I><Idev unit="1/cm">0.00145280150316772</Idev><Qdev unit="1/A">0.01932</Qdev><Qmean unit="1/A">0.3234</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3268</Q><I unit="1/cm">0.0598540229496195</I><Idev unit="1/cm">0.00037971264686968</Idev><Qdev unit="1/A">0.01952</Qdev><Qmean unit="1/A">0.3269</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3303</Q><I unit="1/cm">0.0598554486681863</I><Idev unit="1/cm">0.000238660576570818</Idev><Qdev unit="1/A">0.01972</Qdev><Qmean unit="1/A">0.3303</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3338</Q><I unit="1/cm">0.0598527397416005</I><Idev unit="1/cm">0.00604866634070472</Idev><Qdev unit="1/A">0.01991</Qdev><Qmean unit="1/A">0.3338</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3372</Q><I unit="1/cm">0.0598517990703868</I><Idev unit="1/cm">0.00241504403863614</Idev><Qdev unit="1/A">0.02011</Qdev><Qmean unit="1/A">0.3372</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3406</Q><I unit="1/cm">0.0598536588848801</I><Idev unit="1/cm">0.00486344183607404</Idev><Qdev unit="1/A">0.0203</Qdev><Qmean unit="1/A">0.3407</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3441</Q><I unit="1/cm">0.0598500192805346</I><Idev unit="1/cm">0.00299483243382103</Idev><Qdev unit="1/A">0.0205</Qdev><Qmean unit="1/A">0.3441</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3475</Q><I unit="1/cm">0.0598510137107766</I><Idev unit="1/cm">0.00582814456851036</Idev><Qdev unit="1/A">0.0207</Qdev><Qmean unit="1/A">0.3475</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3509</Q><I unit="1/cm">0.0598506733448819</I><Idev unit="1/cm">0.0034360032765413</Idev><Qdev unit="1/A">0.02089</Qdev><Qmean unit="1/A">0.3509</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.3543</Q><I unit="1/cm">0.0598513080913984</I><Idev unit="1/cm">0.00375553714507095</Idev><Qdev unit="1/A">0.02108</Qdev><Qmean unit="1/A">0.3543</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3577</Q><I unit="1/cm">0.0598469570341251</I><Idev unit="1/cm">0.00145158303366345</Idev><Qdev unit="1/A">0.02128</Qdev><Qmean unit="1/A">0.3577</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3611</Q><I unit="1/cm">0.0598505009672979</I><Idev unit="1/cm">0.00265475137899194</Idev><Qdev unit="1/A">0.02147</Qdev><Qmean unit="1/A">0.3611</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3645</Q><I unit="1/cm">0.0598482977039411</I><Idev unit="1/cm">0.00674573004841572</Idev><Qdev unit="1/A">0.02166</Qdev><Qmean unit="1/A">0.3645</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3678</Q><I unit="1/cm">0.0598486839631768</I><Idev unit="1/cm">0.00111160831046708</Idev><Qdev unit="1/A">0.02186</Qdev><Qmean unit="1/A">0.3678</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3712</Q><I unit="1/cm">0.0598477463604065</I><Idev unit="1/cm">0.00303739914850977</Idev><Qdev unit="1/A">0.02205</Qdev><Qmean unit="1/A">0.3712</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3745</Q><I unit="1/cm">0.059848268321775</I><Idev unit="1/cm">0.00364757844838747</Idev><Qdev unit="1/A">0.02224</Qdev><Qmean unit="1/A">0.3745</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3779</Q><I unit="1/cm">0.0598469126316892</I><Idev unit="1/cm">0.00247959277349808</Idev><Qdev unit="1/A">0.02243</Qdev><Qmean unit="1/A">0.3779</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.3812</Q><I unit="1/cm">0.0598471198875677</I><Idev unit="1/cm">0.00371599954529285</Idev><Qdev unit="1/A">0.02262</Qdev><Qmean unit="1/A">0.3812</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.3845</Q><I unit="1/cm">0.0598462693918775</I><Idev unit="1/cm">0.00453922346919508</Idev><Qdev unit="1/A">0.02281</Qdev><Qmean unit="1/A">0.3845</Qmean><Shadowfactor>1</Shadowfactor></Idata>
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-			<Idata><Q unit="1/A">0.3878</Q><I unit="1/cm">0.0598466342642868</I><Idev unit="1/cm">0.006779525782308</Idev><Qdev unit="1/A">0.023</Qdev><Qmean unit="1/A">0.3878</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.3911</Q><I unit="1/cm">0.0598456023046037</I><Idev unit="1/cm">0.0072376973498202</Idev><Qdev unit="1/A">0.02319</Qdev><Qmean unit="1/A">0.3911</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.3944</Q><I unit="1/cm">0.0598462561762734</I><Idev unit="1/cm">0.00259365235024266</Idev><Qdev unit="1/A">0.02338</Qdev><Qmean unit="1/A">0.3944</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.3977</Q><I unit="1/cm">0.0598449850147436</I><Idev unit="1/cm">0.00205279235695875</Idev><Qdev unit="1/A">0.02357</Qdev><Qmean unit="1/A">0.3977</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-			<Idata><Q unit="1/A">0.401</Q><I unit="1/cm">0.0598461884817662</I><Idev unit="1/cm">0.00379297785107319</Idev><Qdev unit="1/A">0.02375</Qdev><Qmean unit="1/A">0.401</Qmean><Shadowfactor>1</Shadowfactor></Idata>
-
-		</SASdata>
-
-		<SASsample>
-
-			<ID></ID>
-
-			<thickness unit="mm">1</thickness>
-
-			<transmission>0.327</transmission>
-
-		</SASsample>
-
-		<SASinstrument>
-
-			<name></name>
-
-			<SASsource>
-
-				<radiation>neutron</radiation>
-
-				<wavelength unit="A">5</wavelength>
-
-			</SASsource>
-
-			<SAScollimation>
-
-			</SAScollimation>
-
-			<SASdetector>
-
-				<name></name>
-
-			</SASdetector>
-
-		</SASinstrument>
-
-		<SASnote>
-
-			free form description of processing
-
-		</SASnote>
-
-	</SASentry>
-
-	<SASentry>
-
-		<Title>latex particles 0.5micron diameter in D2O slit</Title>
-
-		<Run>latex_usans</Run>
-
-		<SASdata>
-
-			<Idata><Q unit="1/A">7.7457e-05</Q><I unit="1/cm">8432.04</I><Idev unit="1/cm">153.745</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">8.3007e-05</Q><I unit="1/cm">8298.38</I><Idev unit="1/cm">152.01</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">8.8557e-05</Q><I unit="1/cm">8091.51</I><Idev unit="1/cm">149.908</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">9.4107e-05</Q><I unit="1/cm">7947.7</I><Idev unit="1/cm">148.184</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">9.9657e-05</Q><I unit="1/cm">8174.04</I><Idev unit="1/cm">149.824</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000105207</Q><I unit="1/cm">7890.52</I><Idev unit="1/cm">147.061</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000110757</Q><I unit="1/cm">8067.04</I><Idev unit="1/cm">74.9155</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000121857</Q><I unit="1/cm">7995.24</I><Idev unit="1/cm">74.0244</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000132957</Q><I unit="1/cm">7969.3</I><Idev unit="1/cm">73.7818</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000144057</Q><I unit="1/cm">7953.56</I><Idev unit="1/cm">73.6532</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000155157</Q><I unit="1/cm">7896.35</I><Idev unit="1/cm">73.3392</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000166257</Q><I unit="1/cm">7877.91</I><Idev unit="1/cm">73.1936</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000177357</Q><I unit="1/cm">7769.46</I><Idev unit="1/cm">72.6739</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000188457</Q><I unit="1/cm">7746.93</I><Idev unit="1/cm">72.5899</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000199557</Q><I unit="1/cm">7820.8</I><Idev unit="1/cm">72.9063</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000210657</Q><I unit="1/cm">7656.83</I><Idev unit="1/cm">72.1007</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000221757</Q><I unit="1/cm">7777.33</I><Idev unit="1/cm">72.6551</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000232857</Q><I unit="1/cm">7613.01</I><Idev unit="1/cm">71.8768</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000243957</Q><I unit="1/cm">7498.28</I><Idev unit="1/cm">71.316</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000255057</Q><I unit="1/cm">7494.75</I><Idev unit="1/cm">71.2836</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000266157</Q><I unit="1/cm">7266.92</I><Idev unit="1/cm">70.182</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000277257</Q><I unit="1/cm">7292.37</I><Idev unit="1/cm">57.4236</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000305007</Q><I unit="1/cm">7214.55</I><Idev unit="1/cm">57.0526</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000332757</Q><I unit="1/cm">7103.18</I><Idev unit="1/cm">56.5915</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000360507</Q><I unit="1/cm">6883.81</I><Idev unit="1/cm">55.7205</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000388257</Q><I unit="1/cm">6818.14</I><Idev unit="1/cm">55.4232</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000416007</Q><I unit="1/cm">6591.98</I><Idev unit="1/cm">54.4991</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000443757</Q><I unit="1/cm">6420.5</I><Idev unit="1/cm">53.7756</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000471507</Q><I unit="1/cm">6120.15</I><Idev unit="1/cm">52.5042</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000499257</Q><I unit="1/cm">5950.12</I><Idev unit="1/cm">51.7582</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000527007</Q><I unit="1/cm">5792.76</I><Idev unit="1/cm">51.0591</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000554757</Q><I unit="1/cm">5524.39</I><Idev unit="1/cm">43.2058</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000610257</Q><I unit="1/cm">5127.92</I><Idev unit="1/cm">41.599</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000665757</Q><I unit="1/cm">4753.49</I><Idev unit="1/cm">40.0733</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000721257</Q><I unit="1/cm">4355.25</I><Idev unit="1/cm">38.3487</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000776757</Q><I unit="1/cm">3878.25</I><Idev unit="1/cm">36.2076</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000832257</Q><I unit="1/cm">3471.25</I><Idev unit="1/cm">34.2637</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000887757</Q><I unit="1/cm">3022.77</I><Idev unit="1/cm">31.9597</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000943257</Q><I unit="1/cm">2600.33</I><Idev unit="1/cm">29.6463</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.000998757</Q><I unit="1/cm">2309.11</I><Idev unit="1/cm">27.9459</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00105426</Q><I unit="1/cm">1975.45</I><Idev unit="1/cm">25.8603</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00110976</Q><I unit="1/cm">1701.57</I><Idev unit="1/cm">21.4532</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00122076</Q><I unit="1/cm">1156.72</I><Idev unit="1/cm">17.7038</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00133176</Q><I unit="1/cm">748.659</I><Idev unit="1/cm">14.2685</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00144276</Q><I unit="1/cm">465.515</I><Idev unit="1/cm">11.2799</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00155376</Q><I unit="1/cm">252.307</I><Idev unit="1/cm">8.35705</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00166476</Q><I unit="1/cm">157.822</I><Idev unit="1/cm">6.66382</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00177576</Q><I unit="1/cm">117.146</I><Idev unit="1/cm">5.78352</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00188676</Q><I unit="1/cm">93.1465</I><Idev unit="1/cm">5.19397</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00199776</Q><I unit="1/cm">103.864</I><Idev unit="1/cm">5.46342</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00210876</Q><I unit="1/cm">128.147</I><Idev unit="1/cm">6.0333</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00221976</Q><I unit="1/cm">135.96</I><Idev unit="1/cm">6.20529</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00233076</Q><I unit="1/cm">138.712</I><Idev unit="1/cm">6.26599</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00244176</Q><I unit="1/cm">126.272</I><Idev unit="1/cm">5.99155</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00255276</Q><I unit="1/cm">114.46</I><Idev unit="1/cm">5.72081</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00266376</Q><I unit="1/cm">74.2613</I><Idev unit="1/cm">4.67786</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00277476</Q><I unit="1/cm">72.3794</I><Idev unit="1/cm">4.62347</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00288576</Q><I unit="1/cm">47.3385</I><Idev unit="1/cm">3.82544</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00299676</Q><I unit="1/cm">36.0379</I><Idev unit="1/cm">3.40491</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00310776</Q><I unit="1/cm">30.3854</I><Idev unit="1/cm">3.17364</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00321876</Q><I unit="1/cm">24.7429</I><Idev unit="1/cm">2.92505</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00332976</Q><I unit="1/cm">28.5101</I><Idev unit="1/cm">3.09348</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00344076</Q><I unit="1/cm">27.9635</I><Idev unit="1/cm">3.06924</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00355176</Q><I unit="1/cm">33.3649</I><Idev unit="1/cm">3.29833</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00366276</Q><I unit="1/cm">35.237</I><Idev unit="1/cm">3.37337</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00377376</Q><I unit="1/cm">29.0365</I><Idev unit="1/cm">3.11578</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00388476</Q><I unit="1/cm">32.5455</I><Idev unit="1/cm">3.26424</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00399576</Q><I unit="1/cm">23.1284</I><Idev unit="1/cm">2.84982</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00410676</Q><I unit="1/cm">23.6642</I><Idev unit="1/cm">2.87489</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00421776</Q><I unit="1/cm">19.3575</I><Idev unit="1/cm">2.66567</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00432876</Q><I unit="1/cm">12.8971</I><Idev unit="1/cm">2.31662</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00443976</Q><I unit="1/cm">12.8958</I><Idev unit="1/cm">2.31647</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00455076</Q><I unit="1/cm">9.66256</I><Idev unit="1/cm">2.12012</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00466176</Q><I unit="1/cm">9.66792</I><Idev unit="1/cm">2.1208</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00477276</Q><I unit="1/cm">9.39793</I><Idev unit="1/cm">2.10354</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00488376</Q><I unit="1/cm">13.7138</I><Idev unit="1/cm">2.36412</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00499476</Q><I unit="1/cm">14.2495</I><Idev unit="1/cm">2.39427</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00510576</Q><I unit="1/cm">9.12935</I><Idev unit="1/cm">2.08632</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00521676</Q><I unit="1/cm">11.822</I><Idev unit="1/cm">2.25339</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00532776</Q><I unit="1/cm">10.7551</I><Idev unit="1/cm">2.18935</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00543876</Q><I unit="1/cm">11.8258</I><Idev unit="1/cm">2.25385</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-			<Idata><Q unit="1/A">0.00554976</Q><I unit="1/cm">8.04703</I><Idev unit="1/cm">2.01492</Idev><dQl unit="1/A">0.117</dQl></Idata>
-
-		</SASdata>
-
-		<SASsample>
-
-			<ID></ID>
-
-			<thickness unit="mm">1</thickness>
-
-			<transmission>0.84031</transmission>
-
-		</SASsample>
-
-		<SASinstrument>
-
-			<name></name>
-
-			<SASsource>
-
-				<radiation>neutron</radiation>
-
-				<wavelength unit="A">2.38</wavelength>
-
-			</SASsource>
-
-			<SAScollimation>
-
-			</SAScollimation>
-
-			<SASdetector>
-
-				<name></name>
-
-			</SASdetector>
-
-		</SASinstrument>
-
-		<SASnote>
-
-			free form description of processing
-
-		</SASnote>
-
-	</SASentry>
-
-</SASroot>
Index: st/sasfit/test/sphere_80.txt
===================================================================
--- test/sasfit/test/sphere_80.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,100 +1,0 @@
-<X>   <Y>
-0.0010101  2.14186e+008
-0.0020202  2.13348e+008
-0.0030303  2.11958e+008
-0.0040404  2.10025e+008
-0.00505051  2.07561e+008
-0.00606061  2.04584e+008
-0.00707071  2.01112e+008
-0.00808081  1.97169e+008
-0.00909091  1.92781e+008
-0.010101  1.87975e+008
-0.0111111  1.82783e+008
-0.0121212  1.77237e+008
-0.0131313  1.71373e+008
-0.0141414  1.65226e+008
-0.0151515  1.58833e+008
-0.0161616  1.52233e+008
-0.0171717  1.45465e+008
-0.0181818  1.38567e+008
-0.0191919  1.31578e+008
-0.020202  1.24536e+008
-0.0212121  1.17479e+008
-0.0222222  1.10442e+008
-0.0232323  1.03461e+008
-0.0242424  9.65692e+007
-0.0252525  8.97973e+007
-0.0262626  8.31748e+007
-0.0272727  7.67288e+007
-0.0282828  7.04839e+007
-0.0292929  6.4462e+007
-0.030303  5.86828e+007
-0.0313131  5.31627e+007
-0.0323232  4.79158e+007
-0.0333333  4.29533e+007
-0.0343434  3.82836e+007
-0.0353535  3.39126e+007
-0.0363636  2.98434e+007
-0.0373737  2.60768e+007
-0.0383838  2.2611e+007
-0.0393939  1.9442e+007
-0.040404  1.65639e+007
-0.0414141  1.39687e+007
-0.0424242  1.16467e+007
-0.0434343  9.58662e+006
-0.0444444  7.77602e+006
-0.0454545  6.20118e+006
-0.0464646  4.84751e+006
-0.0474747  3.69971e+006
-0.0484848  2.74197e+006
-0.0494949  1.95815e+006
-0.0505051  1.33203e+006
-0.0515152  847402
-0.0525253  488319
-0.0535354  239201
-0.0545455  84994.7
-0.0555556  11292.7
-0.0565657  4445.63
-0.0575758  51653.5
-0.0585859  141041
-0.059596  261717
-0.0606061  403816
-0.0616162  558522
-0.0626263  718084
-0.0636364  875805
-0.0646465  1.02603e+006
-0.0656566  1.1641e+006
-0.0666667  1.28634e+006
-0.0676768  1.38998e+006
-0.0686869  1.47309e+006
-0.069697  1.53454e+006
-0.0707071  1.57391e+006
-0.0717172  1.59141e+006
-0.0727273  1.5878e+006
-0.0737374  1.5643e+006
-0.0747475  1.52256e+006
-0.0757576  1.46449e+006
-0.0767677  1.39227e+006
-0.0777778  1.30823e+006
-0.0787879  1.21477e+006
-0.079798  1.11433e+006
-0.0808081  1.00933e+006
-0.0818182  902079
-0.0828283  794770
-0.0838384  689421
-0.0848485  587856
-0.0858586  491670
-0.0868687  402219
-0.0878788  320609
-0.0888889  247687
-0.089899  184050
-0.0909091  130047
-0.0919192  85790.3
-0.0929293  51176.4
-0.0939394  25900.5
-0.0949495  9481.12
-0.0959596  1283.93
-0.0969697  547.497
-0.0979798  6409.98
-0.0989899  17935.9
-0.1  34142.4
Index: st/sasfit/test/sphere_test_data.txt
===================================================================
--- test/sasfit/test/sphere_test_data.txt	(revision efa5e4440f169b2894993f4f1db9691ecdd9bc2e)
+++ 	(revision )
@@ -1,52 +1,0 @@
-<q>   <I_1D>
-0  1.43676e+008
-0.01  1.30173e+008 0.01
-0.02  9.59565e+007 0.001
-0.03  5.57754e+007 0.002
-0.04  2.37208e+007 0.003 
-0.05  6.0257e+006
-0.06  332209
-0.07  335963
-0.08  1.03749e+006
-0.09  816241
-0.1  234630
-0.11  230.644
-0.12  100168
-0.13  182129
-0.14  111803
-0.15  16326.8
-0.16  6931.71
-0.17  45283.6
-0.18  50971.8
-0.19  19812.5
-0.2  146.532
-0.21  9676.19
-0.22  21749.2
-0.23  15602.5
-0.24  2700.12
-0.25  1044.09
-0.26  8110.76
-0.27  10054.2
-0.28  4251.65
-0.29  38.5548
-0.3  2295.45
-0.31  5499.87
-0.32  4158.67
-0.33  752.025
-0.34  308.434
-0.35  2475.65
-0.36  3174.91
-0.37  1380.1
-0.38  11.2373
-0.39  815.932
-0.4  1988.73
-0.41  1531.36
-0.42  276.75
-0.43  127.297
-0.44  1001.82100
-0.45  1297.13 90
-0.46  566.229 120
-0.47  3.50245 1.2
-0.48  365.098 50
-0.49  887.09 	100
-0.5  684.787	80
Index: st/sasfit/test/utest_fit_cylinder.py
===================================================================
--- test/sasfit/test/utest_fit_cylinder.py	(revision b699768550de9d4b35b087234ec1d2a461922bab)
+++ 	(revision )
@@ -1,116 +1,0 @@
-"""
-    Unit tests for fitting module 
-    @author G.alina
-"""
-import unittest
-import math
-
-from sas.sascalc.fit.AbstractFitEngine import Model
-from sas.sascalc.fit.BumpsFitting import BumpsFit as Fit
-from sas.sascalc.dataloader.loader import Loader
-
-class TestSingleFit(unittest.TestCase):
-    """ test single fitting """
-    def setUp(self):
-        """ initialize data"""
-        self.data = Loader().load("cyl_400_20.txt")
-        # Create model that fitter understands
-        from sas.models.CylinderModel import CylinderModel
-        self.model  = CylinderModel()
-        self.model.setParam("scale", 1.0)
-        self.model.setParam("radius",18)
-        self.model.setParam("length", 397)
-        self.model.setParam("sldCyl",3e-006 )
-        self.model.setParam("sldSolv",0.0 )
-        self.model.setParam("background", 0.0)
-        #select parameters to fit
-        self.pars1 =['length','radius','scale']
-        
-    def test_fit(self):
-        """Simple cylinder model fit"""
-        fitter = Fit()
-        fitter.set_data(self.data,1)
-        fitter.set_model(self.model,1,self.pars1)
-        fitter.select_problem_for_fit(id=1,value=1)
-        result1, = fitter.fit()
-
-        self.assert_(result1)
-        self.assertTrue(len(result1.pvec)>0 or len(result1.pvec)==0 )
-        self.assertTrue(len(result1.stderr)> 0 or len(result1.stderr)==0)
-
-        self.assertTrue( math.fabs(result1.pvec[0]-400.0)/3.0 < result1.stderr[0] )
-        self.assertTrue( math.fabs(result1.pvec[1]-20.0)/3.0  < result1.stderr[1] )
-        self.assertTrue( math.fabs(result1.pvec[2]-1.0)/3.0   < result1.stderr[2] )
-        self.assertTrue( result1.fitness < 1.0 )
-
-
-        
-class TestSimultaneousFit(unittest.TestCase):
-    """ test simultaneous fitting """
-    def setUp(self):
-        """ initialize data"""
-        
-        self.data1=Loader().load("cyl_400_20.txt")
-        self.data2=Loader().load("cyl_400_40.txt")
-    
-        # Receives the type of model for the fitting
-        from sas.models.CylinderModel import CylinderModel
-        cyl1  = CylinderModel()
-        cyl1.name = "C1"
-        self.model1 = Model(cyl1)
-        self.model1.set(scale= 1.0)
-        self.model1.set(radius=18)
-        self.model1.set(length=200)
-        self.model1.set(sldCyl=3e-006, sldSolv=0.0)
-        self.model1.set(background=0.0)
-
-        cyl2  = CylinderModel()
-        cyl2.name = "C2"
-        self.model2 = Model(cyl2)
-        self.model2.set(scale= 1.0)
-        self.model2.set(radius=37)
-        self.model2.set(length=300)
-        self.model2.set(sldCyl=3e-006, sldSolv=0.0)
-        self.model2.set(background=0.0)
-
-
-    def test_constrained_bumps(self):
-        """ Simultaneous cylinder model fit  """
-        self._run_fit(Fit())
-
-    #@unittest.skip("")
-    def _run_fit(self, fitter):
-        result1, result2 = self._fit(fitter)
-        self.assert_(result1)
-        self.assertTrue(len(result1.pvec)>0)
-        self.assertTrue(len(result1.stderr)>0)
-
-        for n, v, dv in zip(result1.param_list, result1.pvec, result1.stderr):
-            if n == "length":
-                self.assertTrue( math.fabs(v-400.0)/3.0 < dv )
-            elif n=='radius':
-                self.assertTrue( math.fabs(v-20.0)/3.0 < dv )
-            elif n=='scale':
-                self.assertTrue( math.fabs(v-1.0)/3.0 < dv )
-        for n, v, dv in zip(result2.param_list, result2.pvec, result2.stderr):
-            if n=='radius':
-                self.assertTrue( math.fabs(v-40.0)/3.0 < dv )
-            elif n=='scale':
-                self.assertTrue( math.fabs(v-1.0)/3.0 < dv )
-
-    def _fit(self, fitter):
-        """ return fit result """
-        fitter.set_data(self.data1,1)
-        fitter.set_model(self.model1, 1, ['length','radius','scale'])
-
-        fitter.set_data(self.data2,2)
-        fitter.set_model(self.model2, 2, ['length','radius','scale'],
-                         constraints=[("length","C1.length")])
-        fitter.select_problem_for_fit(id=1,value=1)
-        fitter.select_problem_for_fit(id=2,value=1)
-        return fitter.fit()
-
-
-if __name__ == '__main__':
-    unittest.main()        
-       
Index: st/sasfit/test/utest_fit_smeared.py
===================================================================
--- test/sasfit/test/utest_fit_smeared.py	(revision fc18690cd84cc4dd6e33a9d344f47b08cef71290)
+++ 	(revision )
@@ -1,204 +1,0 @@
-"""
-    Unit tests for fitting module 
-    @author M. Doucet
-"""
-import unittest
-import math
-
-import numpy
-from sas.sascalc.fit.AbstractFitEngine import Model
-from sas.sascalc.fit.BumpsFitting import BumpsFit as Fit
-from sas.sascalc.dataloader.loader import Loader
-from sas.sascalc.data_util.qsmearing import smear_selection
-from sas.models.CylinderModel import CylinderModel
-from sas.models.SphereModel import SphereModel
-
-
-from bumps import fitters
-try:
-    from bumps.options import FIT_CONFIG
-    def set_fitter(alg, opts):
-        FIT_CONFIG.selected_id= alg
-        FIT_CONFIG.values[alg].update(opts, monitors=[])
-except:
-    # CRUFT: Bumps changed its handling of fit options around 0.7.5.6
-    def set_fitter(alg, opts):
-        #print "fitting",alg,opts
-        #print "options",fitters.FIT_OPTIONS[alg].__dict__
-        fitters.FIT_DEFAULT = alg
-        fitters.FIT_OPTIONS[alg].options.update(opts, monitors=[])
-
-
-class testFitModule(unittest.TestCase):
-    """ test fitting """
-    
-    def test_without_resolution(self):
-        """ Simple cylinder model fit  """
-        
-        out=Loader().load("cyl_400_20.txt")
-        # This data file has not error, add them
-        #out.dy = out.y
-        
-        fitter = Fit()
-        fitter.set_data(out,1)
-        
-        # Receives the type of model for the fitting
-        model1  = CylinderModel()
-        model1.setParam("scale", 1.0)
-        model1.setParam("radius",18)
-        model1.setParam("length", 397)
-        model1.setParam("sldCyl",3e-006 )
-        model1.setParam("sldSolv",0.0 )
-        model1.setParam("background", 0.0)
-        model = Model(model1)
-        pars1 =['length','radius','scale']
-        fitter.set_model(model,1,pars1)
-        
-        # What the hell is this line for?
-        fitter.select_problem_for_fit(id=1,value=1)
-        result1, = fitter.fit()
-        #print "result1",result1
-
-        self.assert_(result1)
-        self.assertTrue(len(result1.pvec) > 0)
-        self.assertTrue(len(result1.stderr) > 0)
-        
-        self.assertTrue( math.fabs(result1.pvec[0]-400.0)/3.0 < result1.stderr[0] )
-        self.assertTrue( math.fabs(result1.pvec[1]-20.0)/3.0  < result1.stderr[1] )
-        self.assertTrue( math.fabs(result1.pvec[2]-1)/3.0   < result1.stderr[2] )
-        self.assertTrue( result1.fitness < 1.0 )
-
-    def test_dispersion(self):
-        """
-            Cylinder fit with dispersion
-        """
-        set_fitter('lm', {})
-        self._dispersion(fitter = Fit())
-
-    def _dispersion(self, fitter):
-        # Load data
-        # This data is for a cylinder with 
-        #   length=400, radius=20, radius disp=5, scale=1e-10
-        out=Loader().load("cyl_400_20_disp5r.txt")
-        out.dy = numpy.zeros(len(out.y))
-        for i in range(len(out.y)):
-            out.dy[i] = math.sqrt(out.y[i])
-        
-        # Receives the type of model for the fitting
-        model1  = CylinderModel()
-        model1.setParam("scale", 10.0)
-        model1.setParam("radius",18)
-        model1.setParam("length", 397)
-        model1.setParam("sldCyl",3e-006 )
-        model1.setParam("sldSolv",0.0 )
-        model1.setParam("background", 0.0)
-
-        # Dispersion parameters
-        model1.dispersion['radius']['width'] = 0.25
-        model1.dispersion['radius']['npts'] = 50
-
-        model = Model(model1)
-
-        pars1 =['length','radius','scale','radius.width']
-        fitter.set_data(out,1)
-        fitter.set_model(model,1,pars1)
-        fitter.select_problem_for_fit(id=1,value=1)
-        #import time; T0 = time.time()
-        result1, = fitter.fit()
-
-        self.assert_(result1)
-        self.assertTrue(len(result1.pvec)>0)
-        self.assertTrue(len(result1.stderr)>0)
-
-        #print [z for z in zip(result1.param_list,result1.pvec,result1.stderr)]
-        self.assertTrue( math.fabs(result1.pvec[0]-399.8)/3.0 < result1.stderr[0] )
-        self.assertTrue( math.fabs(result1.pvec[1]-17.5)/3.0  < result1.stderr[1] )
-        self.assertTrue( math.fabs(result1.pvec[2]-11.1)/3.0   < result1.stderr[2] )
-        self.assertTrue( math.fabs(result1.pvec[3]-0.276)/3.0   < result1.stderr[3] )
-        self.assertTrue( result1.fitness < 1.0 )
-        
-        
-class smear_testdata(unittest.TestCase):
-    """
-        Test fitting with the smearing operations
-        The output of the fits should be compated to fits
-        done with IGOR for the same models and data sets.
-    """
-    def setUp(self):
-        data = Loader().load("latex_smeared.xml")
-        self.data_res = data[0]
-        self.data_slit = data[1]
-        
-        self.sphere = SphereModel()
-        self.sphere.setParam('background', 0)
-        self.sphere.setParam('radius', 5000.0)
-        self.sphere.setParam('scale', 0.4)
-        self.sphere.setParam('sldSolv',0)
-        self.sphere.setParam('sldSph',1e-6)
-        #self.sphere.setParam('radius.npts', 30)
-        #self.sphere.setParam('radius.width',50)
-
-    def test_reso(self):
-
-        # Let the data module find out what smearing the
-        # data needs
-        smear = smear_selection(self.data_res)
-        #self.assertEqual(smear.__class__.__name__, 'QSmearer')
-        #self.assertEqual(smear.__class__.__name__, 'PySmearer')
-
-        # Fit
-        fitter = Fit()
-        
-        # Data: right now this is the only way to set the smearer object
-        # We should improve that and have a way to get access to the
-        # data for a given fit.
-        fitter.set_data(self.data_res,1)
-        fitter.fit_arrange_dict[1].data_list[0].smearer = smear
-
-        # Model: maybe there's a better way to do this.
-        # Ideally we should have to create a new model from our sas model.
-        fitter.set_model(Model(self.sphere),1, ['radius','scale', 'background'])
-        
-        # Why do we have to do this...?
-        fitter.select_problem_for_fit(id=1,value=1)
-
-        # Perform the fit (might take a while)
-        result1, = fitter.fit()
-        
-        #print "v",result1.pvec
-        #print "dv",result1.stderr
-        #print "chisq(v)",result1.fitness
-
-        self.assertTrue( math.fabs(result1.pvec[0]-5000) < 20 )
-        self.assertTrue( math.fabs(result1.pvec[1]-0.48) < 0.02 )
-        self.assertTrue( math.fabs(result1.pvec[2]-0.060)  < 0.002 )
-
-
-    def test_slit(self):
-        smear = smear_selection(self.data_slit)
-        #self.assertEqual(smear.__class__.__name__, 'SlitSmearer')
-        #self.assertEqual(smear.__class__.__name__, 'PySmearer')
-
-        fitter = Fit()
-        
-        # Data: right now this is the only way to set the smearer object
-        # We should improve that and have a way to get access to the
-        # data for a given fit.
-        fitter.set_data(self.data_slit,1)
-        fitter.fit_arrange_dict[1].data_list[0].smearer = smear
-        fitter.fit_arrange_dict[1].data_list[0].qmax = 0.003
-        
-        # Model
-        fitter.set_model(Model(self.sphere),1, ['radius','scale'])
-        fitter.select_problem_for_fit(id=1,value=1)
-        
-        result1, = fitter.fit()
-
-        #print "v",result1.pvec
-        #print "dv",result1.stderr
-        #print "chisq(v)",result1.fitness
-
-        numpy.testing.assert_allclose(result1.pvec, [2323.466,0.22137], rtol=0.001)
-
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasfit/test/utest_multiplicative_model.py
===================================================================
--- test/sasfit/test/utest_multiplicative_model.py	(revision b699768550de9d4b35b087234ec1d2a461922bab)
+++ 	(revision )
@@ -1,59 +1,0 @@
-"""
-    Unit tests for fitting module 
-    @author: G. Alina
-"""
-import unittest
-import math
-
-from sas.sascalc.dataloader.data_info import Data1D 
-from sas.sascalc.fit.AbstractFitEngine import Model,FitData1D
-from sas.sascalc.fit.BumpsFitting import BumpsFit as Fit
-from sas.sascalc.dataloader.loader import Loader
-from sas.models.MultiplicationModel import MultiplicationModel
-from sas.models.CylinderModel import CylinderModel
-from sas.models.SquareWellStructure import SquareWellStructure
-
-class testFitModule(unittest.TestCase):
-    """ test fitting """
-   
-        
-    def test_cyl_times_square(self):
-        """ Simple cylinder model fit  """
-        
-        out=Loader().load("cyl_400_20.txt")
-        data = Data1D(x=out.x, y=out.y, dx=out.dx, dy=out.dy)
-        # Receives the type of model for the fitting
-        model1  =  MultiplicationModel(CylinderModel(),SquareWellStructure())
-        model1.setParam('background', 0.0)
-        model1.setParam('sldCyl', 3e-006)
-        model1.setParam('sldSolv', 0.0)
-        model1.setParam('length', 420)
-        model1.setParam('radius', 40)
-        model1.setParam('scale_factor', 2)
-        model1.setParam('volfraction', 0.04)
-        model1.setParam('welldepth', 1.5)
-        model1.setParam('wellwidth', 1.2)
-      
-        model = Model(model1)
-    
-        pars1 =['length','radius','scale_factor']
-        fitter = Fit()
-        fitter.set_data(data,1)
-        fitter.set_model(model,1,pars1)
-        fitter.select_problem_for_fit(id=1,value=1)
-        result1, = fitter.fit()
-
-        self.assert_(result1)
-        self.assertTrue(len(result1.pvec)>=0 )
-        self.assertTrue(len(result1.stderr)>= 0)
-
-        #print "results",list(zip(result1.pvec, result1.stderr))
-        self.assertTrue( math.fabs(result1.pvec[0]-612)/3.0 <= result1.stderr[0] )
-        self.assertTrue( math.fabs(result1.pvec[1]-20.3)/3.0  <= result1.stderr[1] )
-        self.assertTrue( math.fabs(result1.pvec[2]-25)/3.0 <= result1.stderr[2] )
-        
-        self.assertTrue( result1.fitness/len(data.x) < 1.0 )
-        
-       
-if __name__ == '__main__':
-    unittest.main()  
Index: st/sasfit/test/utest_small_test.py
===================================================================
--- test/sasfit/test/utest_small_test.py	(revision b699768550de9d4b35b087234ec1d2a461922bab)
+++ 	(revision )
@@ -1,42 +1,0 @@
-"""
-    Unit tests for fitting module 
-"""
-import unittest
-import math
-from sas.sascalc.fit.BumpsFitting import BumpsFit as Fit
-from sas.sascalc.dataloader.loader import Loader
-import bumps.fitters
-bumps.fitters.FIT_DEFAULT = 'lm'
-
-class testFitModule(unittest.TestCase):
-    """ test fitting """
-    def test_cylinder_fit(self):
-        """ Simple cylinder model fit """
-        
-        out= Loader().load("cyl_400_20.txt")
-       
-        fitter = Fit()
-        # Receives the type of model for the fitting
-        from sas.models.CylinderModel import CylinderModel
-        model  = CylinderModel()
-        model.setParam('sldCyl', 1)
-        model.setParam('sldSolv', 0)
-        model.setParam('scale', 1e-10)
-
-        pars1 =['length','radius','scale']
-        fitter.set_data(out,1)
-        fitter.set_model(model,1,pars1, constraints=())
-        fitter.select_problem_for_fit(id=1,value=1)
-        result1, = fitter.fit()
-        #print result1
-        #print result1.__dict__
-
-        self.assert_(result1)
-        self.assertTrue(len(result1.pvec)>0 or len(result1.pvec)==0 )
-        self.assertTrue(len(result1.stderr)> 0 or len(result1.stderr)==0)
-
-        self.assertTrue( math.fabs(result1.pvec[0]-400.0)/3.0 < result1.stderr[0] )
-        self.assertTrue( math.fabs(result1.pvec[1]-20.0)/3.0  < result1.stderr[1] )
-        self.assertTrue( math.fabs(result1.pvec[2]-9.0e-12)/3.0   < result1.stderr[2] )
-        self.assertTrue( result1.fitness < 1.0 )
-        
Index: st/sasmodels/test/EllipticalCylinderModel_avg.txt
===================================================================
--- test/sasmodels/test/EllipticalCylinderModel_avg.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,40 +1,0 @@
-<q_average> <2d_average> <1d_average>
-      0.01    450.507    450.538
-      0.02    228.525    228.583
-      0.03    146.842    146.905
-      0.04    99.4289    99.4891
-      0.05    68.9421    68.9963
-      0.06    48.1995    48.2457
-      0.07    33.0792    33.1168
-      0.08    22.2588    22.2879
-      0.09    14.5974     14.619
-       0.1     9.1764    9.19152
-      0.11    5.56643    5.57647
-      0.12    3.24083    3.24712
-      0.13     1.7993    1.80306
-      0.14    1.00787    1.01007
-      0.15   0.594417   0.595781
-      0.16   0.402388   0.403396
-      0.17    0.34266   0.343579
-      0.18   0.317975   0.318926
-      0.19   0.306544   0.307546
-       0.2   0.296341   0.297366
-      0.21   0.269339   0.270346
-      0.22    0.24207   0.243026
-      0.23    0.21435   0.215236
-      0.24   0.183616   0.184429
-      0.25   0.160746   0.161486
-      0.26   0.138993   0.139665
-      0.27   0.117419   0.118023
-      0.28   0.100312   0.100842
-      0.29  0.0813972  0.0818505
-       0.3  0.0637594  0.0641323
-      0.31  0.0498591  0.0501547
-      0.32  0.0365552   0.036785
-      0.33  0.0280352  0.0282178
-      0.34  0.0237687  0.0239272
-      0.35  0.0212566  0.0214156
-      0.36  0.0225586  0.0227386
-      0.37  0.0246106  0.0248264
-      0.38  0.0258744   0.026131
-      0.39  0.0274088   0.027696
Index: st/sasmodels/test/Gausssphere.txt
===================================================================
--- test/sasmodels/test/Gausssphere.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,128 +1,0 @@
-0.001	5.39709
-0.00105251	5.39646
-0.00110778	5.39578
-0.00116596	5.39502
-0.00122718	5.39417
-0.00129163	5.39324
-0.00135945	5.3922
-0.00143084	5.39105
-0.00150598	5.38978
-0.00158506	5.38838
-0.0016683	5.38682
-0.0017559	5.3851
-0.00184811	5.38319
-0.00194516	5.38107
-0.00204731	5.37873
-0.00215481	5.37613
-0.00226797	5.37326
-0.00238707	5.37008
-0.00251242	5.36656
-0.00264435	5.36266
-0.00278321	5.35835
-0.00292937	5.35357
-0.0030832	5.34829
-0.0032451	5.34244
-0.00341551	5.33596
-0.00359487	5.3288
-0.00378365	5.32087
-0.00398234	5.31211
-0.00419146	5.30241
-0.00441156	5.29169
-0.00464323	5.27984
-0.00488705	5.26674
-0.00514369	5.25226
-0.0054138	5.23627
-0.00569809	5.2186
-0.00599731	5.1991
-0.00631224	5.17757
-0.00664372	5.15382
-0.0069926	5.12763
-0.0073598	5.09876
-0.00774628	5.06696
-0.00815306	5.03195
-0.0085812	4.99342
-0.00903182	4.95107
-0.0095061	4.90454
-0.0100053	4.85347
-0.0105307	4.79749
-0.0110837	4.73617
-0.0116657	4.66909
-0.0122783	4.59583
-0.0129231	4.51592
-0.0136017	4.42892
-0.014316	4.33436
-0.0150678	4.23182
-0.015859	4.12088
-0.0166918	4.00115
-0.0175683	3.87232
-0.0184909	3.73412
-0.0194619	3.58642
-0.0204839	3.42918
-0.0215596	3.26252
-0.0226917	3.08674
-0.0238833	2.90237
-0.0251375	2.71016
-0.0264575	2.51115
-0.0278469	2.30669
-0.0293092	2.0984
-0.0308483	1.88828
-0.0324682	1.67858
-0.0341732	1.47186
-0.0359677	1.27086
-0.0378565	1.07847
-0.0398444	0.89757
-0.0419368	0.730889
-0.044139	0.580844
-0.0464568	0.449355
-0.0488964	0.337663
-0.0514641	0.246187
-0.0541666	0.17443
-0.057011	0.120966
-0.0600048	0.0835297
-0.0631559	0.0592139
-0.0664723	0.0447615
-0.069963	0.0369202
-0.0736369	0.0328005
-0.0775038	0.0301672
-0.0815737	0.0276014
-0.0858574	0.0244924
-0.090366	0.0208673
-0.0951113	0.017113
-0.100106	0.0136826
-0.105363	0.0108796
-0.110896	0.00877469
-0.116719	0.00725135
-0.122848	0.00611889
-0.129299	0.00521683
-0.136089	0.00445925
-0.143236	0.0038191
-0.150757	0.00328973
-0.158674	0.00286018
-0.167006	0.00251338
-0.175776	0.00223247
-0.185007	0.00200381
-0.194722	0.0018173
-0.204947	0.00166551
-0.21571	0.00154191
-0.227037	0.00144131
-0.238959	0.00135983
-0.251508	0.0012931
-0.264715	0.00123756
-0.278616	0.00119376
-0.293247	0.00116144
-0.308646	0.00112742
-0.324854	0.00109867
-0.341913	0.00109815
-0.359868	0.00106272
-0.378765	0.00104681
-0.398655	0.00107303
-0.41959	0.00100485
-0.441623	0.0010587
-0.464814	0.00100641
-0.489223	0.00103015
-0.514913	0.0010137
-0.541953	0.00101299
-0.570412	0.00101129
-0.600366	0.00100919
-0.631893	0.00100742
-0.665075	0.001006
Index: st/sasmodels/test/ParallelepipedModel_avg.txt
===================================================================
--- test/sasmodels/test/ParallelepipedModel_avg.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,23 +1,0 @@
-<q_average> <2d_average> <1d_average>
-      0.01    1726.15    1726.27
-      0.02    844.977     845.19
-      0.03    512.608    512.824
-      0.04    320.271    320.463
-      0.05    200.963    201.119
-      0.06    126.024    126.142
-      0.07    77.5119    77.5985
-      0.08    47.8721    47.9338
-      0.09    30.4693    30.5136
-       0.1    19.9932     20.026
-      0.11    13.8137    13.8388
-      0.12    9.73278     9.7521
-      0.13    6.59619    6.61053
-      0.14    4.24385    4.25362
-      0.15    2.42973    2.43556
-      0.16    1.17877    1.18168
-      0.17   0.547226    0.54844
-      0.18   0.307981   0.308673
-      0.19   0.338138    0.33912
-       0.2   0.488894     0.4905
-      0.21    0.58072   0.582884
-      0.22   0.611786   0.614215
Index: st/sasmodels/test/Schulzsphere.txt
===================================================================
--- test/sasmodels/test/Schulzsphere.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,128 +1,0 @@
-0.001	5.6369
-0.00105251	5.63621
-0.00110778	5.63544
-0.00116596	5.63459
-0.00122718	5.63364
-0.00129163	5.6326
-0.00135945	5.63144
-0.00143084	5.63016
-0.00150598	5.62874
-0.00158506	5.62717
-0.0016683	5.62543
-0.0017559	5.6235
-0.00184811	5.62136
-0.00194516	5.619
-0.00204731	5.61638
-0.00215481	5.61348
-0.00226797	5.61027
-0.00238707	5.60672
-0.00251242	5.60279
-0.00264435	5.59843
-0.00278321	5.59361
-0.00292937	5.58828
-0.0030832	5.58237
-0.0032451	5.57584
-0.00341551	5.56861
-0.00359487	5.56061
-0.00378365	5.55176
-0.00398234	5.54198
-0.00419146	5.53116
-0.00441156	5.5192
-0.00464323	5.50598
-0.00488705	5.49137
-0.00514369	5.47522
-0.0054138	5.4574
-0.00569809	5.43771
-0.00599731	5.41599
-0.00631224	5.39202
-0.00664372	5.36559
-0.0069926	5.33645
-0.0073598	5.30436
-0.00774628	5.26902
-0.00815306	5.23015
-0.0085812	5.1874
-0.00903182	5.14045
-0.0095061	5.08891
-0.0100053	5.03241
-0.0105307	4.97052
-0.0110837	4.90283
-0.0116657	4.82888
-0.0122783	4.74823
-0.0129231	4.6604
-0.0136017	4.56495
-0.014316	4.46143
-0.0150678	4.3494
-0.015859	4.22848
-0.0166918	4.09833
-0.0175683	3.95869
-0.0184909	3.80938
-0.0194619	3.65036
-0.0204839	3.4817
-0.0215596	3.30369
-0.0226917	3.11679
-0.0238833	2.92172
-0.0251375	2.71945
-0.0264575	2.51123
-0.0278469	2.29864
-0.0293092	2.08353
-0.0308483	1.86808
-0.0324682	1.65469
-0.0341732	1.44602
-0.0359677	1.24481
-0.0378565	1.05387
-0.0398444	0.875866
-0.0419368	0.713235
-0.044139	0.567984
-0.0464568	0.441556
-0.0488964	0.334685
-0.0514641	0.247317
-0.0541666	0.178572
-0.057011	0.126799
-0.0600048	0.0897096
-0.0631559	0.064582
-0.0664723	0.0485276
-0.069963	0.0387685
-0.0736369	0.0328898
-0.0775038	0.0290196
-0.0815737	0.0259077
-0.0858574	0.0228921
-0.090366	0.0197753
-0.0951113	0.0166482
-0.100106	0.0137135
-0.105363	0.0111519
-0.110896	0.00905318
-0.116719	0.0074097
-0.122848	0.00614876
-0.129299	0.00517615
-0.136089	0.00440866
-0.143236	0.00378767
-0.150757	0.00327752
-0.158674	0.00285709
-0.167006	0.00251202
-0.175776	0.00223035
-0.185007	0.00200122
-0.194722	0.00181503
-0.204947	0.00166364
-0.21571	0.00154046
-0.227037	0.00144018
-0.238959	0.00135852
-0.251508	0.00129202
-0.264715	0.00123786
-0.278616	0.00119376
-0.293247	0.00115783
-0.308646	0.00112858
-0.324854	0.00110474
-0.341913	0.00108533
-0.359868	0.00106952
-0.378765	0.00105664
-0.398655	0.00104615
-0.41959	0.0010376
-0.441623	0.00103063
-0.464814	0.00102496
-0.489223	0.00102033
-0.514913	0.00101657
-0.541953	0.0010135
-0.570412	0.001011
-0.600366	0.00100896
-0.631893	0.0010073
-0.665075	0.00100595
Index: st/sasmodels/test/SmearList.py
===================================================================
--- test/sasmodels/test/SmearList.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,160 +1,0 @@
-
-from sas.models.BaseComponent import BaseComponent
-import math
-
-class Smear:
-    
-    def __init__(self, model, param, sigma):
-        """
-            @param model: model to smear
-            @param param: parameter to smear
-            @param sigma: std deviations for parameter
-        """
-
-        
-        ## Model to smear
-        self.model = model
-        ## Standard deviation of the smearing
-        self.sigmas = sigma
-        ## Parameter to smear
-        self.params = param
-        ## Nominal value of the smeared parameter
-        self.centers = []
-        ## Error on last evaluation
-        self.error = 0.0
-        ## Error flag
-        self.doErrors = False
-        for par in self.params:
-            self.centers.append(self.model.getParam(par))
-        
-    def smearParam(self, id, x):
-        """
-            @param x: input value
-        """
-        # from random import random
-        # If we exhausted the parameter array, simply evaluate
-        # the model
-        if id < len(self.params):
-            #print "smearing", self.params[id]
-            
-            # Average over Gaussian distribution (2 sigmas)
-            value_sum = 0.0
-            gauss_sum = 0.0
-            
-            min_value = self.centers[id] - 2*self.sigmas[id]
-            max_value = self.centers[id] + 2*self.sigmas[id]
-            n_pts = 25
-            step = (max_value - min_value)/(n_pts-1)
-            #print min_value, max_value, step, max_value-min_value
-            if step == 0.0:
-                return self.smearParam(id+1,x)
-            
-            # Gaussian function used to weigh points
-            gaussian = Gaussian()
-            gaussian.setParam('sigma', self.sigmas[id])
-            gaussian.setParam('mean', self.centers[id])
-                    
-            # Compute average
-            prev_value = None
-            error_sys = 0.0
-            for i in range(n_pts):
-                # Set the parameter value           
-                value = min_value + i*step
-                # value = random()*4.0*self.sigmas[id] + min_value
-                # print value
-                self.model.setParam(self.params[id], value)
-                gauss_value = gaussian.run(value)
-                #gauss_value = 1.0
-                #if id==0: print value, gauss_value
-                func_value, error_1 = self.smearParam(id+1, x)
-                if self.doErrors:
-                    if not prev_value == None:
-                        error_sys += (func_value-prev_value)*(func_value-prev_value)/4.0
-                    prev_value = func_value
-
-                value_sum += gauss_value * func_value
-                gauss_sum += gauss_value
-                
-            #print "Error", math.sqrt(error)
-            return value_sum/gauss_sum, math.sqrt(error_sys)
-        
-        else:
-            return self.model.run(x), 0.0
-        
-    def run(self, x):
-        """
-            @param x: input
-        """
-        
-        # Go through the list of parameters
-        n_par = len(self.params)
-        
-        # Check array lengths
-        if not len(self.centers) == n_par or\
-            not len(self.sigmas) == n_par:
-            raise ValueError, "Incompatible array lengths"
-        
-        # Smear first parameters
-        if n_par > 0:
-            value, error = self.smearParam(0, x)
-            self.error = error
-            
-            # Put back original values
-            for i in range(len(self.centers)):
-                self.model.setParam(self.params[i], self.centers[i])
-            
-            
-            return value
-        
-class Gaussian(BaseComponent):
-    """ Gaussian function """
-    
-    def __init__(self):
-        """ Initialization """
-        BaseComponent.__init__(self)
-        
-        ## Name of the model
-        self.name = "Gaussian"
-        ## Scale factor
-        self.params['scale']  = 1.0
-        ## Mean value
-        self.params['mean']   = 0.0
-        ## Standard deviation
-        self.params['sigma']  = 1.0
-        ## Internal log
-        self.log = {}
-        return
-    
-    def run(self, x=0):
-        """ Evaluate the function 
-            @param x: input q or [q,phi]
-            @return: scattering function
-        """
-        if(type(x)==type([])):
-            # vector input
-            if(len(x)==2):
-                return self.analytical_2D(x)
-            else:
-                raise ValueError, "Gaussian takes a scalar or a 2D point"
-        else:
-            return self.analytical_1D(x)
-
-    def analytical_2D(self, x):
-        """ Evaluate 2D model 
-            @param x: input [q,phi]
-            @return: scattering function
-        """
-        
-        # 2D sphere is the same as 1D sphere
-        return self.analytical_1D(x[0])
-
-    def analytical_1D(self, x):
-        """ Evaluate 1D model
-            @param x: input q
-            @return: scattering function
-        """
-        vary = x-self.params['mean']
-        expo_value = -vary*vary/(2*self.params['sigma']*self.params['sigma'])
-        value = self.params['scale'] *  math.exp(expo_value)
-        
-        return value
Index: st/sasmodels/test/cansas1d_slit.xml
===================================================================
--- test/sasmodels/test/cansas1d_slit.xml	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,141 +1,0 @@
-<?xml version="1.0"?>
-<?xml-stylesheet type="text/xsl" href="example.xsl" ?>
-<SASroot version="1.0"
-    xmlns="cansas1d/1.0"
-    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-    xsi:schemaLocation="cansas1d/1.0 http://svn.smallangles.net/svn/canSAS/1dwg/trunk/cansas1d.xsd"
-    >
-	<SASentry>
-		<Title>Test title</Title>
-		<Run name='run name'>1234</Run>
-		<SASdata>
-			<Idata>
-				<Q unit="1/A">0.02</Q>
-				<I unit="1/cm">1000</I>
-				<Idev unit="1/cm">3</Idev>
-				<dQw unit="1/A">0.001</dQw>
-				<dQl unit="1/A">0.005</dQl>
-                <Shadowfactor><!-- Shadowfactor is optional --></Shadowfactor>
-			</Idata>
-			<Idata>
-				<Q unit="1/A">0.03</Q>
-				<I unit="1/cm">1001</I>
-				<Idev unit="1/cm">4</Idev>
-				<dQw unit="1/A">0.001</dQw>
-				<dQl unit="1/A">0.005</dQl>
-                <Shadowfactor><!-- Shadowfactor is optional --></Shadowfactor>
-			</Idata>
-		</SASdata>
-		<SASsample name='my sample'>
-			<ID>SI600-new-long</ID>
-			<thickness unit="mm">1.03</thickness>
-			<transmission>0.327</transmission>
-			<temperature unit="C">0.0000</temperature>
-			<position>
-				<x unit="mm">10.00</x>
-				<y unit="mm">0.00</y>
-			</position>
-			<orientation>
-				<roll unit="degree">22.5<!-- was: sample_orientation --></roll>
-				<pitch unit="degree">0.020<!-- was: sample_offset_angle --></pitch>
-			</orientation>
-			<details>
-				<!-- was: sample_prep -->
-				http://chemtools.chem.soton.ac.uk/projects/blog/blogs.php/bit_id/2720
-			</details>
-			<details>
-				Some text here
-			</details>
-			
-		</SASsample>
-		<SASinstrument>
-			<name>canSAS instrument</name>
-			<SASsource name="source name">
-				<radiation>neutron</radiation>
-				<beam_size name='bm'>
-					<x unit="mm">12.00</x>
-					<y unit="mm">13.00</y>
-				</beam_size>
-				<beam_shape>disc</beam_shape>
-				<wavelength unit="A">6.00</wavelength>
-				<wavelength_min unit="nm">0.22</wavelength_min>
-				<wavelength_max unit="nm">1.00</wavelength_max>
-				<wavelength_spread unit="percent">
-					14.3
-				</wavelength_spread>
-			</SASsource>
-			<SAScollimation name="test coll name">
-				<length unit='mm'> 123.0</length>
-				<aperture name="source" type="radius">
-					<size>
-						<x unit="mm">50</x>
-					</size>
-					<distance unit="m">11.000<!-- was: distance_coll --></distance>
-				</aperture>
-				<aperture name="sample" type="radius">
-					<size name='size name'>
-						<x unit="mm">1</x>
-					</size>
-				</aperture>
-			</SAScollimation>
-			<SASdetector>
-				<name>fictional hybrid</name>
-				<SDD unit="m">
-					<!-- sample-to-detector distance -->
-					4.150
-				</SDD>
-				<offset>
-                    <x unit="mm">1</x>
-                    <y unit="mm">2</y>
-                </offset>
-                <orientation>
-					<roll unit="degree">1.00</roll>
-					<pitch unit="degree">0.00</pitch>
-					<yaw unit="degree">0.00</yaw>
-				</orientation>
-				<beam_center>
-					<x unit="mm">322.64</x>
-					<y unit="mm">327.68</y>
-				</beam_center>
-				<pixel_size>
-					<x unit="mm">5.00</x>
-					<y unit="mm">5.00</y>
-				</pixel_size>
-			</SASdetector>
-		</SASinstrument>
-		<SASprocess>
-			<name>spol</name>
-			<date>04-Sep-2007 18:35:02</date>
-			<term name="radialstep" unit="mm">10.000</term>
-			<term name="sector_width" unit="degree">180.0</term>
-			<term name="sector_orient" unit="degree">0.0</term>
-			<term name="MASK_file">USER:MASK.COM</term>
-			<SASprocessnote>
-				AvA1 0.0000E+00 AsA2 1.0000E+00 XvA3 1.0526E+03 XsA4
-				5.2200E-02 XfA5 0.0000E+00
-			</SASprocessnote>
-			<SASprocessnote>
-				S... 13597 0 2.26E+02 2A 5mM 0%D2O Sbak 13594 0 1.13E+02
-				H2O Buffer
-			</SASprocessnote>
-			<SASprocessnote>V... 13552 3 1.00E+00 H2O5m</SASprocessnote>
-		</SASprocess>
-		<SASprocess>
-			<name>NCNR-IGOR</name>
-			<date>03-SEP-2006 11:42:47</date>
-			<description />
-			<term name="average_type">Circular</term>
-			<term name="SAM_file">SEP06064.SA3_AJJ_L205</term>
-			<term name="BKD_file">SEP06064.SA3_AJJ_L205</term>
-			<term name="EMP_file">SEP06064.SA3_AJJ_L205</term>
-			<term name="DIV_file">SEP06064.SA3_AJJ_L205</term>
-			<term name="MASK_file">SEP06064.SA3_AJJ_L205</term>
-			<term name="ABS:TSTAND">1</term>
-			<term name="ABS:DSTAND" unit="mm">1</term>
-			<term name="ABS:IZERO">230.09</term>
-			<term name="ABS:XSECT" unit="mm">1</term>
-			<SASprocessnote/>
-		</SASprocess>
-		<SASnote />
-	</SASentry>
-</SASroot>
Index: st/sasmodels/test/core_shell_cyl_testdata.txt
===================================================================
--- test/sasmodels/test/core_shell_cyl_testdata.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,139 +1,0 @@
-pythonclass = CoreShellCylinderModel
-scale = 1
-radius = 20
-thickness = 10
-length = 400
-core_sld = 1e-6
-shell_sld = 4e-6
-solvent_sld = 1e-6
-background = 0.01
-
-DATA
-0.001	353.560132167546
-0.00105251266011778	353.353125068201
-0.00110778289970821	353.124000569665
-0.00116595552660488	352.87041875967
-0.00122718295288593	352.58979743803
-0.00129162559419317	352.279288228264
-0.00135945229002046	351.935750610798
-0.00143084074607265	351.555723763133
-0.00150597799985384	351.13539610369
-0.00158506091070502	350.67057245352
-0.00166829667557485	350.156638755392
-0.00175590337187494	349.588524324878
-0.00184811052884188	348.96066165541
-0.00194515972890305	348.2669438617
-0.00204730524062173	347.50067992682
-0.00215481468487986	346.654548021734
-0.00226796973604376	345.720547296668
-0.00238706685995004	344.689948707106
-0.00251241809064502	343.553245639307
-0.00264435184791283	342.300105348302
-0.00278321379773411	340.919322522823
-0.00292936775792964	339.398776654985
-0.00308319665136179	337.725395326242
-0.00324510350919104	335.885126033787
-0.00341551252681621	333.862919780817
-0.00359487017526494	331.642730345873
-0.00378364637094618	329.207533933654
-0.00398233570682956	326.539374789731
-0.00419145874827721	323.619443324298
-0.0044115633969232	320.42819431362
-0.00464322632617388	316.945513794367
-0.00488705449209019	313.150944275563
-0.0051436867236104	309.023978776314
-0.0054137953962797	304.544434827648
-0.00569808819387176	299.692919778901
-0.00599730996251769	294.451398290194
-0.00631224466220038	288.803871471549
-0.00664371742072679	282.737174369416
-0.00699259669556001	276.241893948161
-0.00735979654917468	269.313402842951
-0.00774627904389752	261.952994401996
-0.00815305676250721	254.169091326557
-0.00858119546119774	245.978483087029
-0.00903181686185589	237.40752600812
-0.00950610159096858	228.493214681787
-0.0100052922728602	219.284005115922
-0.010530696785364	209.840240785234
-0.0110836916864573	200.234006071171
-0.0116657258208385	190.548212990096
-0.0122783241158954	180.874724485493
-0.0129230915770094	171.311341206724
-0.0136017174926639	161.957540886819
-0.0143159798603742	152.908972976731
-0.0150677500450351	144.250886565509
-0.0158589976818897	136.05091014724
-0.0166917958369675	128.351896721801
-0.0175683264385096	121.165863476228
-0.0184908859936133	114.4703267421
-0.0194618916050726	108.208458104453
-0.0204838873041789	102.294332218686
-0.0215595507160742	96.6239575011789
-0.0226917000751195	91.0916748532794
-0.0238833016086589	85.6098975590415
-0.0251374773085249	80.1282952267494
-0.0264575131106459	74.6469601970146
-0.027846867504187	69.2177167568136
-0.0293091805927793	63.9295437880283
-0.0308482836315787	58.8787182407255
-0.0324682090651407	54.1312654799973
-0.0341732010924115	49.69226426132
-0.035967726786514	45.4991807718727
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-0.464814227078974	0.0110636566475161
-0.489222858603482	0.0167465728125504
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-0.570412095730168	0.0104003959468734
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-0.665075135458861	0.0106147900550481
Index: st/sasmodels/test/core_shell_testdata.txt
===================================================================
--- test/sasmodels/test/core_shell_testdata.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,138 +1,0 @@
-pythonclass = CoreShellModel
-scale = 1
-radius = 60
-thickness = 10
-core_sld = 1e-6
-shell_sld = 2e-6
-solvent_sld = 3e-6
-background = 0.001
-
-DATA
-0.001	381.274046971472
-0.00105251266011778	381.237899910898
-0.00110778289970821	381.19786027418
-0.00116595552660488	381.153509293754
-0.00122718295288593	381.104383244174
-0.00129162559419317	381.049968637346
-0.00135945229002046	380.989696908168
-0.00143084074607265	380.922938539463
-0.00150597799985384	380.848996566762
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-0.00204730524062173	380.204984233923
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-0.324853921273063	0.00100867939845478
-0.341912864828804	0.00130885256583451
-0.359867618889456	0.00111691184987341
-0.378765224847594	0.00155107403368663
-0.398655194364451	0.00179962321843482
-0.4195896390903	0.00131961072539651
-0.441623407196792	0.00251915473759882
-0.464814227078974	0.00118345764149102
-0.489222858603482	0.0026873874933769
-0.514913252299177	0.00137597045735508
-0.541952716907305	0.00210439596198283
-0.570412095730168	0.00207013597449065
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-0.631892765436603	0.00208956797079987
-0.665075135458861	0.00152395959676715
Index: st/sasmodels/test/cylinder_testdata.txt
===================================================================
--- test/sasmodels/test/cylinder_testdata.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,136 +1,0 @@
-pythonclass = CylinderModel
-scale = 1
-radius = 20
-length = 400
-contrast = 3e-6
-background = 0.01
-
-DATA
-0.001	450.365065779858
-0.00105251266011778	450.146580159158
-0.00110778289970821	449.904721058613
-0.00116595552660488	449.637008936793
-0.00122718295288593	449.340705967062
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-0.00135945229002046	448.649927487565
-0.00143084074607265	448.248440688541
-0.00150597799985384	447.804276557381
-0.00158506091070502	447.312969632777
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-0.0699629736853145	30.1616336003056
-0.0736369155432808	27.1450621666718
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-0.085857368639825	18.7909944516912
-0.0903659674578153	16.3453512004984
-0.0951113247931421	14.0105824738489
-0.100105873465356	11.8613539021756
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-0.116718996412541	6.48721642322365
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-0.129299308296917	3.8241007701892
-0.136089158926978	2.7902311341927
-0.143235562675425	1.92376715107624
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-0.378765224847594	0.0263426031970756
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-0.4195896390903	0.0459660214615077
-0.441623407196792	0.0387976446053645
-0.464814227078974	0.0251520976537578
-0.489222858603482	0.0133956386353553
-0.514913252299177	0.0108065514382524
-0.541952716907305	0.0152710060258391
-0.570412095730168	0.0196514304875119
-0.600365952240318	0.0182845678719795
-0.631892765436603	0.0130198222806718
-0.665075135458861	0.0101535864652661
Index: st/sasmodels/test/ellipsoid_testdata.txt
===================================================================
--- test/sasmodels/test/ellipsoid_testdata.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,136 +1,0 @@
-pythonclass = EllipsoidModel
-scale = 1
-radius_a = 20
-radius_b = 400
-contrast = 3e-6
-background = 0.01
-
-DATA
-0.001	11808.8528968632
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-0.00116595552660488	11718.5978599118
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-0.0251374773085249	262.744038847928
-0.0264575131106459	234.039847131565
-0.027846867504187	208.639158819275
-0.0293091805927793	186.837277235271
-0.0308482836315787	167.70997478874
-0.0324682090651407	150.021720507628
-0.0341732010924115	133.469048132347
-0.035967726786514	118.660929907549
-0.0378564877984635	105.851355256071
-0.0398444326754772	94.3663066816175
-0.0419367698261504	83.6578396413674
-0.0441389811664687	74.0303846471908
-0.0464568364824087	65.6488966587392
-0.0488964085467568	58.0126389704112
-0.0514640890297529	51.0164068972012
-0.0541666052452436	44.9003014032841
-0.0570110377762212	39.3721336546038
-0.0600048390259259	34.3529627586149
-0.0631558527431166	29.958497372189
-0.0664723345726646	25.9550620560306
-0.0699629736853145	22.4261198409402
-0.0736369155432808	19.2679866604944
-0.0775037858613269	16.4682212334822
-0.0815737158261042	13.9888621639924
-0.085857368639825	11.805997960264
-0.0903659674578153	9.88077806606173
-0.0951113247931421	8.21127352905187
-0.100105873465356	6.74958811344309
-0.105362699174436	5.49602638898874
-0.110895574785276	4.42590111015658
-0.116718996412541	3.51634335501236
-0.122848221400442	2.7564115317264
-0.129299308296917	2.13145505928053
-0.136089158926978	1.62491960968472
-0.143235562675425	1.22192025374086
-0.150757243094979	0.908755828531692
-0.158673906961919	0.672118368226188
-0.167006295907771	0.499015180776053
-0.175776240762306	0.376993265291224
-0.185006718750238	0.294475487249178
-0.194721913691476	0.240999006101438
-0.20494727936264	0.206976804274189
-0.215709606185875	0.184084804995347
-0.227037091419654	0.166799187053838
-0.238959413035505	0.150583285805888
-0.251507807474183	0.133330958053468
-0.264715151485044	0.113698351753489
-0.278616048263005	0.0866638841974435
-0.2932469181088	0.0612447728443078
-0.308646093850034	0.07146333544507
-0.324853921273063	0.0642081900887752
-0.341912864828804	0.0396251834721476
-0.359867618889456	0.0210274910924806
-0.378765224847594	0.0199010559646776
-0.398655194364451	0.0279754666458064
-0.4195896390903	0.0319472487548983
-0.441623407196792	0.0268350754071031
-0.464814227078974	0.0181555013515734
-0.489222858603482	0.0134732506169512
-0.514913252299177	0.0143447123658664
-0.541952716907305	0.0163992637354073
-0.570412095730168	0.0156477366167964
-0.600365952240318	0.012898427036931
-0.631892765436603	0.0114950061180364
-0.665075135458861	0.0126814563174163
Index: st/sasmodels/test/elliptical_cylinder_testdata.txt
===================================================================
--- test/sasmodels/test/elliptical_cylinder_testdata.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,51 +1,0 @@
-pythonclass = EllipticalCylinderModel
-scale = 1
-r_minor = 20
-r_ratio = 1.5
-length = 400
-contrast = 3e-6
-background = 0.00
-
-DATA
-0.001	675.50440232505
-0.00113999241252094	674.585621554061
-0.00129958270060531	673.394210762832
-0.00148151441813353	671.850289410856
-0.00168891519571259	669.851269662357
-0.00192535050850367	667.265881328373
-0.00219488497113752	663.926958947588
-0.00250215221345301	659.622979404263
-0.00285243453830891	654.088557911805
-0.00325175373088482	646.99452081442
-0.00370697458059535	637.938887875081
-0.00422592289528669	626.441265201386
-0.00481752003652534	611.944943469895
-0.00549193628880649	593.833534033594
-0.0062607656992878	571.472138550979
-0.00713722539375944	544.286072836033
-0.00813638279533754	511.890903244197
-0.0092754146520507	474.281385973753
-0.0105739023263233	432.06585649542
-0.0120541684227461	386.686741391944
-0.0137416605411801	340.493801750454
-0.0156653887523837	296.461181585324
-0.0178584243169082	257.357995056469
-0.0203584682208548	224.472404683279
-0.0232084993023232	196.656975592684
-0.0264575131106459	171.051533112635
-0.0301613642003096	145.892282588722
-0.0343837263396336	122.492775456219
-0.0391971871413787	102.387787023423
-0.044684495933335	83.9644239362009
-0.0509399863213247	66.6884221063028
-0.0580711979002305	51.7673903991309
-0.0662007249922647	38.2008300068913
-0.0754683241945671	26.8220307031804
-0.0860333169674769	17.3310728335251
-0.0980773285669326	10.0671608021353
-0.111807410406626	5.06032753961084
-0.127459599527169	2.09807907940937
-0.14530297636393	0.74349155534215
-0.165644290571589	0.362431309457757
-0.188833234429025	0.310054845776307
-
Index: st/sasmodels/test/library_test.cpp
===================================================================
--- test/sasmodels/test/library_test.cpp	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,22 +1,0 @@
-/*
- * Sanity check to verify that one can link to the library
- * and get models.
- *
- */
-#include <stdio.h>
-#include <iostream>
-#include "cylinder.h"
-#include <math.h>
-int main( int argc, const char* argv[] )
-{
-	std::cout << "Testing Cylinder Model" << std::endl;
-	CylinderModel * model = new CylinderModel();
-	double value = (*model)(0.001);
-	double reference = 450.355;
-
-	std::cout << "   I(q=0.001) = " << value;
-	if (fabs(value-reference)>0.01)
-		std::cout << "  ERROR: Expected " << reference << std::endl;
-	else
-		std::cout << "  OK" << std::endl;
-}
Index: st/sasmodels/test/load_test_model.xml
===================================================================
--- test/sasmodels/test/load_test_model.xml	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,10 +1,0 @@
-<Component class='AddComponent' name='AddComponent'>
-  <operateOn>
-    <Component class='SphereModel' name='SphereModel'>
-</Component>
-  </operateOn>
-  <toAdd>
-    <Component class='SphereModel' name='SphereModel'>
-</Component>
-  </toAdd>
-</Component>
Index: st/sasmodels/test/polyexclvol_default_igor.txt
===================================================================
--- test/sasmodels/test/polyexclvol_default_igor.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,131 +1,0 @@
-#PolymerExclVolume model 
-#Data was calculated from Igor/NIST 
-#package using SansView default values
-0.001	0.998801
-0.00105251	0.998672
-0.00110778	0.998529
-0.00116596	0.99837
-0.00122718	0.998195
-0.00129163	0.998001
-0.00135945	0.997785
-0.00143084	0.997547
-0.00150598	0.997283
-0.00158506	0.996991
-0.0016683	0.996667
-0.0017559	0.996309
-0.00184811	0.995912
-0.00194516	0.995473
-0.00204731	0.994986
-0.00215481	0.994448
-0.00226797	0.993852
-0.00238707	0.993192
-0.00251242	0.992462
-0.00264435	0.991653
-0.00278321	0.990759
-0.00292937	0.98977
-0.0030832	0.988675
-0.0032451	0.987464
-0.00341551	0.986125
-0.00359487	0.984644
-0.00378365	0.983007
-0.00398234	0.981197
-0.00419146	0.979197
-0.00441156	0.976988
-0.00464323	0.974548
-0.00488705	0.971854
-0.00514369	0.968881
-0.0054138	0.965601
-0.00569809	0.961984
-0.00599731	0.957997
-0.00631224	0.953605
-0.00664372	0.94877
-0.0069926	0.94345
-0.0073598	0.937601
-0.00774628	0.931175
-0.00815306	0.924123
-0.0085812	0.91639
-0.00903182	0.90792
-0.0095061	0.898654
-0.0100053	0.888531
-0.0105307	0.877486
-0.0110837	0.865457
-0.0116657	0.852378
-0.0122783	0.838186
-0.0129231	0.822819
-0.0136017	0.806219
-0.014316	0.788334
-0.0150678	0.769119
-0.015859	0.74854
-0.0166918	0.726576
-0.0175683	0.703223
-0.0184909	0.678493
-0.0194619	0.652424
-0.0204839	0.625076
-0.0215596	0.596538
-0.0226917	0.566929
-0.0238833	0.5364
-0.0251375	0.505131
-0.0264575	0.473333
-0.0278469	0.441243
-0.0293092	0.409122
-0.0308483	0.377244
-0.0324682	0.345891
-0.0341732	0.315341
-0.0359677	0.285861
-0.0378565	0.257691
-0.0398444	0.23104
-0.0419368	0.206075
-0.044139	0.182913
-0.0464568	0.161625
-0.0488964	0.142232
-0.0514641	0.124708
-0.0541666	0.108991
-0.057011	0.0949896
-0.0600048	0.0825877
-0.0631559	0.0716579
-0.0664723	0.0620666
-0.069963	0.0536799
-0.0736369	0.0463687
-0.0775038	0.0400111
-0.0815737	0.0344944
-0.0858574	0.0297157
-0.090366	0.0255826
-0.0951113	0.0220122
-0.100106	0.0189313
-0.105363	0.0162751
-0.110896	0.0139869
-0.116719	0.0120168
-0.122848	0.0103217
-0.129299	0.00886379
-0.136089	0.00761043
-0.143236	0.00653329
-0.150757	0.00560785
-0.158674	0.00481295
-0.167006	0.00413032
-0.175776	0.00354422
-0.185007	0.00304106
-0.194722	0.00260918
-0.204947	0.00223851
-0.21571	0.00192041
-0.227037	0.00164746
-0.238959	0.00141325
-0.251508	0.0012123
-0.264715	0.0010399
-0.278616	0.000892001
-0.293247	0.000765121
-0.308646	0.000656279
-0.324854	0.000562913
-0.341913	0.000482824
-0.359868	0.000414126
-0.378765	0.000355199
-0.398655	0.000304655
-0.41959	0.000261302
-0.441623	0.000224117
-0.464814	0.000192222
-0.489223	0.000164866
-0.514913	0.000141403
-0.541953	0.000121279
-0.570412	0.000104018
-0.600366	8.92138e-05
-0.631893	7.65164e-05
-0.665075	6.56261e-05
Index: st/sasmodels/test/polyraspberry_igor.txt
===================================================================
--- test/sasmodels/test/polyraspberry_igor.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,500 +1,0 @@
-1e-05	1.20992e+08
-1.02256e-05	1.20989e+08
-1.04564e-05	1.20986e+08
-1.06923e-05	1.20982e+08
-1.09335e-05	1.20979e+08
-1.11802e-05	1.20975e+08
-1.14325e-05	1.20972e+08
-1.16905e-05	1.20968e+08
-1.19542e-05	1.20964e+08
-1.2224e-05	1.20959e+08
-1.24998e-05	1.20955e+08
-1.27818e-05	1.2095e+08
-1.30702e-05	1.20946e+08
-1.33651e-05	1.2094e+08
-1.36667e-05	1.20935e+08
-1.3975e-05	1.2093e+08
-1.42904e-05	1.20924e+08
-1.46128e-05	1.20918e+08
-1.49425e-05	1.20911e+08
-1.52797e-05	1.20905e+08
-1.56244e-05	1.20898e+08
-1.5977e-05	1.2089e+08
-1.63375e-05	1.20883e+08
-1.67061e-05	1.20875e+08
-1.7083e-05	1.20867e+08
-1.74685e-05	1.20858e+08
-1.78626e-05	1.20849e+08
-1.82657e-05	1.20839e+08
-1.86778e-05	1.20829e+08
-1.90992e-05	1.20819e+08
-1.95302e-05	1.20808e+08
-1.99708e-05	1.20797e+08
-2.04214e-05	1.20785e+08
-2.08822e-05	1.20773e+08
-2.13534e-05	1.2076e+08
-2.18352e-05	1.20746e+08
-2.23279e-05	1.20732e+08
-2.28316e-05	1.20717e+08
-2.33468e-05	1.20702e+08
-2.38736e-05	1.20685e+08
-2.44123e-05	1.20669e+08
-2.49631e-05	1.20651e+08
-2.55263e-05	1.20632e+08
-2.61023e-05	1.20613e+08
-2.66912e-05	1.20593e+08
-2.72935e-05	1.20572e+08
-2.79093e-05	1.20549e+08
-2.8539e-05	1.20526e+08
-2.9183e-05	1.20502e+08
-2.98414e-05	1.20477e+08
-3.05147e-05	1.20451e+08
-3.12033e-05	1.20423e+08
-3.19073e-05	1.20394e+08
-3.26272e-05	1.20364e+08
-3.33634e-05	1.20332e+08
-3.41162e-05	1.20299e+08
-3.4886e-05	1.20265e+08
-3.56731e-05	1.20229e+08
-3.6478e-05	1.20191e+08
-3.73011e-05	1.20152e+08
-3.81427e-05	1.20111e+08
-3.90034e-05	1.20068e+08
-3.98834e-05	1.20023e+08
-4.07833e-05	1.19976e+08
-4.17035e-05	1.19926e+08
-4.26445e-05	1.19875e+08
-4.36067e-05	1.19821e+08
-4.45906e-05	1.19765e+08
-4.55967e-05	1.19707e+08
-4.66255e-05	1.19645e+08
-4.76775e-05	1.19581e+08
-4.87533e-05	1.19514e+08
-4.98533e-05	1.19444e+08
-5.09782e-05	1.19371e+08
-5.21284e-05	1.19295e+08
-5.33046e-05	1.19215e+08
-5.45073e-05	1.19131e+08
-5.57372e-05	1.19044e+08
-5.69948e-05	1.18953e+08
-5.82808e-05	1.18858e+08
-5.95958e-05	1.18758e+08
-6.09405e-05	1.18654e+08
-6.23155e-05	1.18546e+08
-6.37215e-05	1.18432e+08
-6.51593e-05	1.18314e+08
-6.66295e-05	1.1819e+08
-6.81329e-05	1.1806e+08
-6.96702e-05	1.17925e+08
-7.12422e-05	1.17784e+08
-7.28496e-05	1.17637e+08
-7.44934e-05	1.17483e+08
-7.61742e-05	1.17322e+08
-7.78929e-05	1.17154e+08
-7.96505e-05	1.16978e+08
-8.14476e-05	1.16795e+08
-8.32854e-05	1.16604e+08
-8.51645e-05	1.16404e+08
-8.70861e-05	1.16196e+08
-8.90511e-05	1.15978e+08
-9.10604e-05	1.15751e+08
-9.3115e-05	1.15514e+08
-9.5216e-05	1.15266e+08
-9.73644e-05	1.15008e+08
-9.95612e-05	1.14738e+08
-0.000101808	1.14457e+08
-0.000104105	1.14163e+08
-0.000106454	1.13857e+08
-0.000108856	1.13538e+08
-0.000111312	1.13205e+08
-0.000113823	1.12858e+08
-0.000116392	1.12496e+08
-0.000119018	1.12118e+08
-0.000121703	1.11725e+08
-0.000124449	1.11314e+08
-0.000127257	1.10887e+08
-0.000130129	1.10441e+08
-0.000133065	1.09977e+08
-0.000136067	1.09494e+08
-0.000139137	1.0899e+08
-0.000142277	1.08466e+08
-0.000145487	1.0792e+08
-0.000148769	1.07352e+08
-0.000152126	1.06761e+08
-0.000155559	1.06146e+08
-0.000159069	1.05506e+08
-0.000162658	1.04841e+08
-0.000166328	1.04149e+08
-0.000170081	1.0343e+08
-0.000173918	1.02683e+08
-0.000177842	1.01907e+08
-0.000181855	1.01101e+08
-0.000185958	1.00264e+08
-0.000190154	9.9396e+07
-0.000194445	9.84952e+07
-0.000198832	9.7561e+07
-0.000203318	9.65926e+07
-0.000207906	9.55891e+07
-0.000212597	9.45497e+07
-0.000217394	9.34735e+07
-0.000222299	9.23598e+07
-0.000227315	9.12079e+07
-0.000232444	9.00169e+07
-0.000237688	8.87864e+07
-0.000243051	8.75155e+07
-0.000248535	8.62039e+07
-0.000254143	8.4851e+07
-0.000259877	8.34564e+07
-0.000265741	8.20199e+07
-0.000271737	8.05411e+07
-0.000277868	7.90201e+07
-0.000284138	7.74567e+07
-0.000290549	7.58512e+07
-0.000297105	7.42038e+07
-0.000303809	7.2515e+07
-0.000310663	7.07854e+07
-0.000317673	6.90157e+07
-0.000324841	6.7207e+07
-0.00033217	6.53604e+07
-0.000339665	6.34773e+07
-0.000347329	6.15594e+07
-0.000355166	5.96084e+07
-0.00036318	5.76266e+07
-0.000371374	5.56163e+07
-0.000379754	5.35802e+07
-0.000388322	5.15212e+07
-0.000397084	4.94425e+07
-0.000406043	4.73477e+07
-0.000415205	4.52405e+07
-0.000424574	4.3125e+07
-0.000434153	4.10057e+07
-0.000443949	3.88872e+07
-0.000453966	3.67745e+07
-0.000464209	3.46726e+07
-0.000474683	3.25872e+07
-0.000485394	3.05237e+07
-0.000496346	2.8488e+07
-0.000507545	2.6486e+07
-0.000518997	2.45238e+07
-0.000530707	2.26074e+07
-0.000542682	2.0743e+07
-0.000554926	1.89366e+07
-0.000567447	1.7194e+07
-0.000580251	1.55209e+07
-0.000593343	1.39227e+07
-0.000606731	1.24045e+07
-0.000620421	1.09708e+07
-0.000634419	9.62568e+06
-0.000648734	8.37264e+06
-0.000663372	7.21441e+06
-0.000678339	6.15299e+06
-0.000693645	5.18954e+06
-0.000709296	4.32432e+06
-0.0007253	3.55664e+06
-0.000741665	2.88483e+06
-0.0007584	2.30623e+06
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-0.0059074	716.396
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-0.00772109	256.938
-0.0078953	236.37
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-0.00844188	184.483
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-0.00965118	113.94
-0.00986894	105.368
-0.0100916	97.5056
-0.0103193	90.2898
-0.0105522	83.6675
-0.0107902	77.5909
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-0.0112827	66.8828
-0.0115372	62.1678
-0.0117976	57.8345
-0.0120638	53.8474
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-0.0126143	46.7931
-0.0128989	43.675
-0.0131899	40.7991
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-0.036	1.0745
-0.0368122	0.960612
-0.0376428	0.50915
-0.0384922	0.713556
-0.0393607	0.652783
-0.0402488	0.297097
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-0.0460144	0.191602
-0.0470527	0.179749
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-0.160526	0.00294613
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-0.191896	0.00184079
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-0.205181	0.00055049
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-0.239866	0.000337019
-0.245278	0.00052727
-0.250812	0.000573687
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-0.262258	0.000229275
-0.268176	0.000134851
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-0.280414	0.000353893
-0.286741	0.000308759
-0.293211	0.000153092
-0.299827	0.000106468
-0.306592	0.000229825
-0.31351	0.000216251
-0.320584	0.000162011
-0.327817	7.47483e-05
-0.335214	9.4307e-05
-0.342777	0.000171481
-0.350511	0.000136557
-0.35842	4.56855e-05
-0.366507	6.86462e-05
-0.374777	0.000116478
-0.383233	9.97869e-05
-0.39188	3.66351e-05
-0.400722	6.27153e-05
-0.409764	8.2034e-05
-0.419009	3.19187e-05
-0.428463	4.15936e-05
-0.438131	6.27573e-05
-0.448017	3.5263e-05
-0.458125	2.48428e-05
-0.468462	4.86428e-05
-0.479032	3.07837e-05
-0.489841	1.79146e-05
-0.500893	3.41404e-05
-0.512195	1.97649e-05
-0.523752	1.55082e-05
-0.535569	2.55646e-05
-0.547654	8.72721e-06
-0.56001	1.92386e-05
-0.572646	1.71503e-05
-0.585567	8.07942e-06
-0.598779	1.64162e-05
-0.61229	3.78435e-06
-0.626105	1.41666e-05
-0.640232	5.24677e-06
-0.654678	8.76213e-06
-0.669449	6.49787e-06
-0.684554	7.19841e-06
Index: st/sasmodels/test/raspberry_igor.txt
===================================================================
--- test/sasmodels/test/raspberry_igor.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,500 +1,0 @@
-1e-05	1.17484e+08
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-0.00247445	44632.5
-0.00253028	39023.1
-0.00258737	28718.7
-0.00264575	16783.3
-0.00270545	6615.3
-0.00276649	855.045
-0.00282891	525.067
-0.00289274	4715.37
-0.00295801	10963.9
-0.00302475	16231.2
-0.003093	18119.6
-0.00316279	15845.5
-0.00323415	10528.5
-0.00330713	4625.15
-0.00338175	723.917
-0.00345805	259.827
-0.00353608	2807.69
-0.00361586	6367.67
-0.00369745	8538.47
-0.00378087	7937.94
-0.00386618	5013.97
-0.00395342	1694.03
-0.00404262	46.5258
-0.00413383	834.745
-0.00422711	3008
-0.00432248	4561.42
-0.00442001	4151.7
-0.00451974	2175.19
-0.00462172	359.209
-0.004726	165.473
-0.00483264	1439.98
-0.00494168	2627.98
-0.00505318	2400.45
-0.0051672	1038.54
-0.00528378	53.674
-0.005403	412.287
-0.00552491	1417.69
-0.00564957	1645.55
-0.00577705	799.163
-0.0059074	45.5846
-0.00604069	328.613
-0.00617698	1027.83
-0.00631636	966.808
-0.00645887	259.624
-0.00660461	52.158
-0.00675363	557.207
-0.00690601	745.867
-0.00706184	260.527
-0.00722117	29.7727
-0.00738411	406.089
-0.00755072	509.91
-0.00772109	116.31
-0.0078953	79.4198
-0.00807344	385.432
-0.00825561	254.456
-0.00844188	14.1085
-0.00863236	218.156
-0.00882713	262.558
-0.0090263	25.8189
-0.00922996	136.711
-0.00943822	214.469
-0.00965118	23.4332
-0.00986894	119.068
-0.0100916	153.331
-0.0103193	13.1616
-0.0105522	129.506
-0.0107902	78.5998
-0.0110337	32.3842
-0.0112827	119.018
-0.0115372	16.1444
-0.0117976	84.5211
-0.0120638	46.2936
-0.0123359	40.7501
-0.0126143	65.7798
-0.0128989	18.8117
-0.0131899	66.495
-0.0134876	12.4227
-0.0137919	59.2755
-0.0141031	11.1974
-0.0144213	51
-0.0147467	11.5298
-0.0150794	42.0689
-0.0154196	14.8016
-0.0157676	30.0153
-0.0161233	22.6716
-0.0164871	15.5275
-0.0168591	29.8319
-0.0172395	8.90054
-0.0176285	23.3081
-0.0180263	18.3814
-0.018433	8.7107
-0.0188489	20.767
-0.0192742	14.6801
-0.0197091	7.30781
-0.0201538	14.9547
-0.0206085	15.4393
-0.0210735	7.76944
-0.021549	6.95575
-0.0220352	11.4899
-0.0225324	12.2225
-0.0230408	8.54266
-0.0235607	5.26827
-0.0240923	4.75742
-0.0246359	5.94224
-0.0251918	7.0901
-0.0257602	7.43748
-0.0263414	7.09169
-0.0269358	6.43179
-0.0275435	5.75076
-0.028165	5.18321
-0.0288005	4.74876
-0.0294503	4.39646
-0.0301148	4.02311
-0.0307943	3.49264
-0.0314891	2.71085
-0.0321996	1.78269
-0.0329262	1.12542
-0.0336691	1.19672
-0.0344288	1.74721
-0.0352056	1.67626
-0.036	0.747694
-0.0368122	0.559065
-0.0376428	1.12743
-0.0384922	0.503773
-0.0393607	0.352083
-0.0402488	0.69944
-0.0411569	0.069671
-0.0420856	0.561819
-0.0430352	0.0145703
-0.0440062	0.434563
-0.0449991	0.053991
-0.0460144	0.209637
-0.0470527	0.302561
-0.0481143	0.0378976
-0.0492	0.148733
-0.0503101	0.309362
-0.0514452	0.264513
-0.052606	0.16338
-0.053793	0.1162
-0.0550067	0.112619
-0.0562478	0.118742
-0.057517	0.12097
-0.0588148	0.126305
-0.0601418	0.151985
-0.0614988	0.195951
-0.0628864	0.196992
-0.0643053	0.109573
-0.0657563	0.0786217
-0.06724	0.131779
-0.0687571	0.0427193
-0.0703085	0.0829678
-0.0718949	0.0189036
-0.0735171	0.0630503
-0.0751759	0.0114228
-0.0768721	0.0103336
-0.0786066	0.0388541
-0.0803802	0.0413031
-0.0821938	0.0337722
-0.0840484	0.0315076
-0.0859448	0.0358294
-0.087884	0.0434431
-0.0898669	0.0451578
-0.0918946	0.0300028
-0.0939681	0.0201503
-0.0960883	0.0349534
-0.0982564	0.0139122
-0.100473	0.023516
-0.10274	0.00466334
-0.105059	0.0100716
-0.107429	0.0126195
-0.109853	0.00861862
-0.112332	0.00696564
-0.114866	0.00889073
-0.117458	0.0124904
-0.120108	0.0120672
-0.122818	0.00636486
-0.125589	0.0114199
-0.128423	0.005638
-0.131321	0.00872692
-0.134284	0.00350287
-0.137314	0.000504934
-0.140412	3.37829e-05
-0.14358	0.000298513
-0.14682	0.00206326
-0.150132	0.00508129
-0.15352	0.00305756
-0.156984	0.00465166
-0.160526	0.00186879
-0.164148	0.00211944
-0.167852	0.00197757
-0.171639	0.00139753
-0.175512	0.000603334
-0.179472	0.000874828
-0.183521	0.00243713
-0.187662	0.00150132
-0.191896	0.00103587
-0.196226	0.000853092
-0.200654	0.000298366
-0.205181	4.77876e-05
-0.209811	0.00105804
-0.214545	0.000547714
-0.219385	0.00115606
-0.224336	0.0010883
-0.229397	0.000694393
-0.234573	0.000134453
-0.239866	0.000346155
-0.245278	0.000366561
-0.250812	0.000677223
-0.256472	0.000516836
-0.262258	9.34209e-05
-0.268176	0.000230441
-0.274227	0.000128876
-0.280414	0.000319774
-0.286741	0.000217114
-0.293211	9.78476e-05
-0.299827	0.000145764
-0.306592	0.000275419
-0.31351	0.000319638
-0.320584	0.00017774
-0.327817	6.88819e-05
-0.335214	3.34465e-05
-0.342777	0.000102971
-0.350511	0.000162804
-0.35842	8.78418e-06
-0.366507	5.07095e-05
-0.374777	7.22825e-05
-0.383233	0.000115838
-0.39188	2.35162e-05
-0.400722	6.73549e-05
-0.409764	9.4935e-05
-0.419009	5.62094e-05
-0.428463	5.42927e-05
-0.438131	5.40844e-05
-0.448017	5.65006e-05
-0.458125	3.4034e-05
-0.468462	3.08805e-05
-0.479032	1.61252e-05
-0.489841	5.34625e-06
-0.500893	4.04764e-05
-0.512195	2.37168e-05
-0.523752	6.78625e-06
-0.535569	1.96535e-05
-0.547654	3.03212e-06
-0.56001	1.78549e-05
-0.572646	9.22602e-06
-0.585567	1.6203e-05
-0.598779	2.37452e-05
-0.61229	1.58892e-08
-0.626105	9.21601e-06
-0.640232	1.07572e-05
-0.654678	1.50017e-05
-0.669449	2.32927e-06
-0.684554	4.26227e-06
Index: st/sasmodels/test/sphere_testdata.txt
===================================================================
--- test/sasmodels/test/sphere_testdata.txt	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,135 +1,0 @@
-pythonclass = SphereModel
-scale = 1
-radius = 60
-contrast = 1e-6
-background = 0.01
-
-DATA
-0.001	90.4227444561307
-0.00105251266011778	90.4157276053359
-0.00110778289970821	90.4079550029624
-0.00116595552660488	90.3993453156916
-0.00122718295288593	90.3898084718774
-0.00129162559419317	90.3792447263187
-0.00135945229002046	90.3675436251717
-0.00143084074607265	90.3545828615347
-0.00150597799985384	90.3402270095186
-0.00158506091070502	90.3243261248614
-0.00166829667557485	90.3067141976634
-0.00175590337187494	90.287207442629
-0.00184811052884188	90.2656024098205
-0.00194515972890305	90.2416738978344
-0.00204730524062173	90.2151726495366
-0.00215481468487986	90.185822808414
-0.00226796973604376	90.1533191119972
-0.00238706685995004	90.1173237963576
-0.00251241809064502	90.0774631837544
-0.00264435184791283	90.0333239229256
-0.00278321379773411	89.9844488493339
-0.00292936775792964	89.9303324299529
-0.00308319665136179	89.8704157547851
-0.00324510350919104	89.8040810347349
-0.00341551252681621	89.7306455629486
-0.00359487017526494	89.6493550944954
-0.00378364637094618	89.5593765971608
-0.00398233570682956	89.4597903244572
-0.00419145874827721	89.3495811609297
-0.0044115633969232	89.2276291894534
-0.00464322632617388	89.0926994310602
-0.00488705449209019	88.9434307099749
-0.0051436867236104	88.7783236005616
-0.0054137953962797	88.5957274193056
-0.00569808819387176	88.393826234303
-0.00599730996251769	88.1706238779775
-0.00631224466220038	87.9239279666488
-0.00664371742072679	87.6513329544612
-0.00699259669556001	87.3502022802804
-0.00735979654917468	87.0176497061855
-0.00774627904389752	86.6505199970915
-0.00815305676250721	86.2453691549684
-0.00858119546119774	85.7984445008535
-0.00903181686185589	85.3056649962709
-0.00950610159096858	84.7626023162297
-0.0100052922728602	84.1644633324426
-0.010530696785364	83.5060748418634
-0.0110836916864573	82.7818715864011
-0.0116657258208385	81.9858888591154
-0.0122783241158954	81.1117612843166
-0.0129230915770094	80.1527296972877
-0.0136017174926639	79.1016584357033
-0.0143159798603742	77.9510657891023
-0.0150677500450351	76.6931708311579
-0.0158589976818897	75.3199603730699
-0.0166917958369675	73.8232803087866
-0.0175683264385096	72.1949561473611
-0.0184908859936133	70.4269480041077
-0.0194618916050726	68.5115456917836
-0.0204838873041789	66.4416097339716
-0.0215595507160742	64.2108640045017
-0.0226917000751195	61.8142451337187
-0.0238833016086589	59.248312629239
-0.0251374773085249	56.5117216066172
-0.0264575131106459	53.605756841905
-0.027846867504187	50.5349222351867
-0.0293091805927793	47.3075733855052
-0.0308482836315787	43.9365725134711
-0.0324682090651407	40.4399341936915
-0.0341732010924115	36.8414172059712
-0.035967726786514	33.1710025095031
-0.0378564877984635	29.4651805895993
-0.0398444326754772	25.7669546222864
-0.0419367698261504	22.1254514069004
-0.0441389811664687	18.5950234076791
-0.0464568364824087	15.2337275099316
-0.0488964085467568	12.1010856393634
-0.0514640890297529	9.2550766770957
-0.0541666052452436	6.74838567895613
-0.0570110377762212	4.62405104866114
-0.0600048390259259	2.9108039900483
-0.0631558527431166	1.61857916581746
-0.0664723345726646	0.734868643264245
-0.0699629736853145	0.222751268886955
-0.0736369155432808	0.021493170785741
-0.0775037858613269	0.0505007176184419
-0.0815737158261042	0.217030561955665
-0.085857368639825	0.427366151211124
-0.0903659674578153	0.600177099372201
-0.0951113247931421	0.679643993347096
-0.100105873465356	0.644995876938007
-0.105362699174436	0.512882672304445
-0.110895574785276	0.330050926618079
-0.116718996412541	0.156436599531048
-0.122848221400442	0.0427161530728255
-0.129299308296917	0.0102364291202494
-0.136089158926978	0.0427676396140632
-0.143235562675425	0.0962906936732686
-0.150757243094979	0.124412512424065
-0.158673906961919	0.106245316452041
-0.167006295907771	0.0581157186256502
-0.175776240762306	0.0180003127669836
-0.185006718750238	0.0120232942917672
-0.194721913691476	0.0314717764737715
-0.20494727936264	0.0445914093009115
-0.215709606185875	0.0335942223501167
-0.227037091419654	0.0143439512133508
-0.238959413035505	0.0113779690004859
-0.251507807474183	0.0214441689681625
-0.264715151485044	0.0221334416546839
-0.278616048263005	0.012423248413131
-0.2932469181088	0.0111309676391173
-0.308646093850034	0.0164251291976273
-0.324853921273063	0.0133484308747301
-0.341912864828804	0.0100937607456987
-0.359867618889456	0.0133061305111565
-0.378765224847594	0.0115497267629865
-0.398655194364451	0.0103763850351245
-0.4195896390903	0.0120165913778557
-0.441623407196792	0.0100464754133085
-0.464814227078974	0.0111896261669603
-0.489222858603482	0.0102144295433158
-0.514913252299177	0.0106974772728633
-0.541952716907305	0.0101315993523187
-0.570412095730168	0.0105409279971524
-0.600365952240318	0.0100029843668479
-0.631892765436603	0.0103719406877445
-0.665075135458861	0.0101206894788735
Index: st/sasmodels/test/testModel.xml
===================================================================
--- test/sasmodels/test/testModel.xml	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,2 +1,0 @@
-<Component class='EllipticalCylinderModel' name='EllipticalCylinderModel'>
-</Component>
Index: st/sasmodels/test/test_pickle_cyl.py
===================================================================
--- test/sasmodels/test/test_pickle_cyl.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,9 +1,0 @@
-import pickle
-from sas.models.CylinderModel import CylinderModel
-import copy
-
-model = CylinderModel()
-model.setParam('cyl_theta', 1.234)
-p = copy.deepcopy(model)
-
-assert p.getParam('cyl_theta') == model.getParam('cyl_theta')
Index: st/sasmodels/test/utest_coreshellellipsoidXTmodel.py
===================================================================
--- test/sasmodels/test/utest_coreshellellipsoidXTmodel.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,92 +1,0 @@
-# rkh 4Apr14, hacked from utest_other_models, then run sasrealspace\utest_sasview.py as python
-# (some OTHER tests compare data files produced by igor nist e.g. see utest_sphere_dispersity )
-# this one checks output at a single point in I(Q) against a value from igor code.
-# Here have used same results as original CoreShellEllipsoidModel
-# !!!!!!!!!!!!!!!!! THERE ARE NO TESTS ON THE POLYDISPERS VERSION !!!!!!!!!!!!!!!!!
-import unittest
-import numpy 
-import math
-import time
-
-class TestCoreShellEllipsoidXTModel(unittest.TestCase):
-    """ Unit tests for CoreShellEllipsoidXT Model"""
-    
-    def setUp(self):
-        from sas.models.CoreShellEllipsoidXTModel import CoreShellEllipsoidXTModel
-        self.comp = CoreShellEllipsoidXTModel()
-        #Give initial value to model
-        self.comp.setParam("scale", 1.0)
-        self.comp.setParam("equat_core", 200.0)
-#        self.comp.setParam("polar_core", 20.0)
-#        self.comp.setParam("equat_shell",250.0)
-#        self.comp.setParam("polar_shell", 30.0)
-        self.comp.setParam("X_core", 0.1)
-        self.comp.setParam("T_shell", 50.0)
-        self.comp.setParam("XpolarShell",0.2)
-        self.comp.setParam("sld_shell",1e-006)
-        self.comp.setParam("sld_core",2e-006)
-        self.comp.setParam("sld_solvent",6.3e-006)
-        self.comp.setParam("background",0.001)
-        self.comp.setParam("axis_theta", 0.0)
-        self.comp.setParam("axis_phi",0.0)
-         
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-    def test1D(self):
-        """ Test 1D model for a CoreShellEllipsoid Model"""
-        self.assertAlmostEqual(self.comp.run(1.0), 0.001894, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a CoreShellEllipsoid Model"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a CoreShellEllipsoid with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a CoreShellEllipsoid with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test CoreShellEllipsoid at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))
-        
-# rkh 05Apr14 hacked from utest_model_calculate_ER        
-class TestCoreShellEllipsoidXT(unittest.TestCase):
-    """ Unit tests for calculate_ER (CoreShellEllipsoidXT model) """
-    
-    def setUp(self):
-        from sas.models.CoreShellEllipsoidXTModel import CoreShellEllipsoidXTModel
-        from sas.models.DiamEllipFunc import DiamEllipFunc
-        self.comp = CoreShellEllipsoidXTModel()
-        self.diam = DiamEllipFunc()
-        
-    def test(self):
-        """ Test 1D model for a CoreShellEllipsoidXT """
-        #self.comp.setParam("polar_shell", 20)
-        #self.comp.setParam("equat_shell",400)       
-        self.comp.setParam("equat_core",350)       
-        self.comp.setParam("X_core", .05)
-        self.comp.setParam("T_shell", 50.0)
-        self.comp.setParam("XpolarShell",0.05)
-        self.diam.setParam("radius_a", 20)
-        self.diam.setParam("radius_b",400)
-        self.assertAlmostEqual(self.comp.calculate_ER(), self.diam.run(0.1)/2) 
-  
Index: st/sasmodels/test/utest_disperser.py
===================================================================
--- test/sasmodels/test/utest_disperser.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,106 +1,0 @@
-"""
-    Unit tests for specific models
-    @author: Mathieu Doucet / UTK
-"""
-
-import unittest
-from SmearList import Smear
-
-# Disable "missing docstring" complaint
-# pylint: disable-msg=C0111
-# Disable "too many methods" complaint 
-# pylint: disable-msg=R0904 
-# Disable "could be a function" complaint 
-# pylint: disable-msg=R0201
-
-from sas.models.sas_extension.c_models import Disperser
-from sas.models.CylinderModel import CylinderModel
-from sas.models.DisperseModel import DisperseModel
-      
-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 TestDisperserModel(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 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 = DisperseModel(self.model, ["cyl_phi", "cyl_theta"], [sigma, sigma])
-        val_c = d.run([q, phi])
-        self.assertEqual(val_py, val_c)
-
-
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_dispersity.py
===================================================================
--- test/sasmodels/test/utest_dispersity.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,522 +1,0 @@
-"""
-    Unit tests for dispersion functionality of 
-    C++ model classes
-"""
-
-#Note: The 'sas.models.DisperseModel' is for only the test. We use 
-#'sas.models.dispersion_models', instead in the application.
-#The first uses width = sigma, while the second uses width = ratio (=sigma/mean)
-#for length parameters and width = sigma for angle parameters.
-#In Feb. 2011, we found and fixed the some precision problems in the C, so that
-#this test was updated too.
-
-
-import unittest, math, numpy
-
-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 TestCoreShellCylinder(unittest.TestCase):
-    """
-        Testing C++ Cylinder model
-    """
-    def setUp(self):
-        from sas.models.CoreShellCylinderModel import CoreShellCylinderModel
-        self.model= CoreShellCylinderModel()
-        
-        self.model.setParam('scale', 1.0)
-        self.model.setParam('radius', 20.0)
-        self.model.setParam('thickness', 10.0)
-        self.model.setParam('length', 400.0)
-        self.model.setParam('core_sld', 1.e-6)
-        self.model.setParam('shell_sld', 4.e-6)
-        self.model.setParam('solvent_sld', 1.e-6)
-        self.model.setParam('background', 0.0)
-        self.model.setParam('axis_theta', 0.0)
-        self.model.setParam('axis_phi', 90.0)
-        
-    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), 353.55013216754583, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 
-                               355.25355270620543, 3)
-        
-    def test_dispersion(self):
-        """
-            Test with dispersion
-        """
-        from sas.models.DisperseModel import DisperseModel
-        disp = DisperseModel(self.model, ['radius', 
-                                          'thickness', 
-                                          'length'], [5, 2, 50])
-        disp.setParam('n_pts', 10)
-        self.assertAlmostEqual(disp.run(0.001), 358.44062724936009, 3)
-        self.assertAlmostEqual(disp.runXY([0.001,0.001]), 360.22673635224584, 3)
-
-    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_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)
-        
-        
-        
-class TestCoreShell(unittest.TestCase):
-    """
-        Testing C++ Cylinder model
-    """
-    def setUp(self):
-        from sas.models.CoreShellModel import CoreShellModel
-        self.model= CoreShellModel()
-        
-        self.model.setParam('scale', 1.0)
-        self.model.setParam('radius', 60.0)
-        self.model.setParam('thickness', 10.0)
-        self.model.setParam('core_sld', 1.e-6)
-        self.model.setParam('shell_sld', 2.e-6)
-        self.model.setParam('solvent_sld', 3.e-6)
-        self.model.setParam('background', 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), 
-                               381.27304697150055, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 
-                               380.93779156218682, 3)
-        
-    def test_dispersion(self):
-        """
-            Test with dispersion
-        """
-        from sas.models.DisperseModel import DisperseModel
-        disp = DisperseModel(self.model, ['radius', 'thickness'], [10, 2])
-        disp.setParam('n_pts', 10)
-        self.assertAlmostEqual(disp.run(0.001), 407.344127907553, 3)
-    
-    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)
-
-        
-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)
-        
-        
-        
-class TestSphere(unittest.TestCase):
-    """
-        Testing C++ Cylinder model
-    """
-    def setUp(self):
-        from sas.models.SphereModel import SphereModel
-        self.model= SphereModel()
-        
-        self.model.setParam('scale', 1.0)
-        self.model.setParam('radius', 60.0)
-        self.model.setParam('sldSph', 2.0)
-        self.model.setParam('sldSolv', 1.0)
-        self.model.setParam('background', 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.assertTrue(math.fabs(self.model.run(0.001)-90412744456148.094)<=50.0)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 
-                               90347660670656.391, 1)
-
-    def test_dispersion(self):
-        """
-            Test with dispersion
-        """
-        from sas.models.DisperseModel import DisperseModel
-        disp = DisperseModel(self.model, ['radius'], [10])
-        disp.setParam('n_pts', 10)
-        disp.setParam('radius.npts', 10)
-        disp.setParam('radius.nsigmas', 2.5)
-        self.assertTrue(math.fabs(disp.run(0.001)-96795008379475.219<50.0))
-        
-    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'] = 0.1666666667
-        self.model.dispersion['radius']['npts'] = 10
-        self.model.dispersion['radius']['nsigmas'] = 2
-
-        #self.assertAlmostEqual(self.model.run(0.001), 96795008379475.25,3)
-        
-        
-        
-class TestEllipticalCylinder(unittest.TestCase):
-    """
-        Testing C++ Cylinder model
-    """
-    def setUp(self):
-        from sas.models.EllipticalCylinderModel import EllipticalCylinderModel
-        self.model= EllipticalCylinderModel()
-        
-        self.model.setParam('scale', 1.0)
-        self.model.setParam('r_minor', 20.0)
-        self.model.setParam('r_ratio', 1.5)
-        self.model.setParam('length', 400.0)
-        self.model.setParam('sldCyl', 4.0e-6)
-        self.model.setParam('sldSolv', 1.0e-6)
-        self.model.setParam('background', 0.0)
-        self.model.setParam('cyl_theta', 90)
-        self.model.setParam('cyl_phi', 0.0)
-        self.model.setParam('cyl_psi', 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), 
-                               675.50440232504991, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 
-                               669.5173937622792, 0)
-        
-    def test_dispersion(self):
-        """
-            Test with dispersion
-        """
-        from sas.models.DisperseModel import DisperseModel
-        disp = DisperseModel(self.model, ['r_minor', 'r_ratio', 'length'], 
-                             [5, 0.25, 50])
-        disp.setParam('n_pts', 10)
-        self.assertAlmostEqual(disp.run(0.001), 711.18048194151925, 3)
-        self.assertAlmostEqual(disp.runXY([0.001,0.001]), 704.63525988095705, 0)
-
-    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_array(self):
-        """
-            Perform complete rotational average and
-            compare to 1D
-        """
-        from sas.models.dispersion_models import ArrayDispersion
-        disp_ph = ArrayDispersion()
-        disp_th = ArrayDispersion()
-        disp_ps = ArrayDispersion()
-        
-        values_ph = numpy.zeros(100)
-        values_th = numpy.zeros(100)
-        values_ps = numpy.zeros(100)
-        weights   = numpy.zeros(100)
-        for i in range(100):
-            values_ps[i]=(360/99.0*i)
-            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)
-        disp_ps.set_weights(values_ps, weights)
-        
-        self.model.set_dispersion('cyl_theta', disp_th)
-        self.model.set_dispersion('cyl_phi', disp_ph)
-        self.model.set_dispersion('cyl_psi', disp_ps)
-        
-        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 TestDispModel(unittest.TestCase):
-    def setUp(self):
-        from sas.models.CylinderModel import CylinderModel
-        self.model = CylinderModel()
-        
-        
-    def test_disp_params(self):
-        
-        self.assertEqual(self.model.dispersion['radius']['width'], 0.0)
-        self.model.setParam('radius.width', 0.25)
-        self.assertEqual(self.model.dispersion['radius']['width'], 0.25)
-        self.assertEqual(self.model.getParam('radius.width'), 0.25)
-        self.assertEqual(self.model.dispersion['radius']['type'], 'gaussian')
-        
-  
-if __name__ == '__main__':
-    unittest.main()
-   
Index: st/sasmodels/test/utest_evaldist.py
===================================================================
--- test/sasmodels/test/utest_evaldist.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,184 +1,0 @@
-"""
-    Test for the BaseComponent.evalDistribution
-    See method documentation for more details
-"""
-import unittest
-import numpy, math
-from sas.models.SphereModel import SphereModel
-from sas.models.Cos import Cos
-
-
-class TestEvalPythonMethods(unittest.TestCase):
-    """ Testing evalDistribution for pure python models """
-
-    def setUp(self):
-        self.model= Cos()
-        
-    def test_scalar_methods(self):
-        """
-            Simple test comparing the run(), runXY() and
-            evalDistribution methods
-        """
-        q1 = self.model.run(0.001)
-        q2 = self.model.runXY(0.001)
-        qlist3 = numpy.asarray([0.001, 0.002])
-        q3 = self.model.evalDistribution(qlist3)
-        q4 = self.model.run(0.002)
-
-        self.assertEqual(q1, q2)
-        self.assertEqual(q1, q3[0])
-        self.assertEqual(q4, q3[1])
-        
-    def test_XY_methods(self):
-        """
-            Compare to the runXY() method for 2D models.
-            
-                      +--------+--------+--------+
-            qy=0.009  |        |        |        | 
-                      +--------+--------+--------+
-            qy-0.006  |        |        |        |
-                      +--------+--------+--------+            
-            qy=0.003  |        |        |        | 
-                      +--------+--------+--------+
-                      qx=0.001   0.002   0.003
-            
-        """
-        # These are the expected values for all bins
-        expected = numpy.zeros([3,3])
-        for i in range(3):
-            for j in range(3):
-                q_length = math.sqrt( (0.001*(i+1.0))*(0.001*(i+1.0)) + (0.003*(j+1.0))*(0.003*(j+1.0)) )
-                expected[i][j] = self.model.run(q_length)
-        
-        qx_values = [0.001, 0.002, 0.003]
-        qy_values = [0.003, 0.006, 0.009]
-        
-        qx = numpy.asarray(qx_values)
-        qy = numpy.asarray(qy_values)
-                     
-        new_x = numpy.tile(qx, (len(qy),1))
-        new_y = numpy.tile(qy, (len(qx),1))
-        new_y = new_y.swapaxes(0,1)
-    
-        #iq is 1d array now (since 03-12-2010)
-        qx_prime = new_x.flatten()
-        qy_prime = new_y.flatten()
-        
-        iq = self.model.evalDistribution([qx_prime, qy_prime])
-
-        for i in range(3):
-            for j in range(3):
-                k = i+len(qx)*j
-                self.assertAlmostEquals(iq[k], expected[i][j])
-
-    def test_rectangle_methods(self):
-        """
-            Compare to the runXY() method for 2D models
-            with a non-square matrix.
-            TODO: Doesn't work for C models apparently
-        
-                      +--------+--------+--------+
-            qy-0.006  |        |        |        |
-                      +--------+--------+--------+            
-            qy=0.003  |        |        |        | 
-                      +--------+--------+--------+
-                      qx=0.001   0.002   0.003
-            
-        """
-        # These are the expected values for all bins
-        expected = numpy.zeros([3,3])
-        for i in range(3):
-            for j in range(2):
-                q_length = math.sqrt( (0.001*(i+1.0))*(0.001*(i+1.0)) + (0.003*(j+1.0))*(0.003*(j+1.0)) )
-                expected[i][j] = self.model.run(q_length)
-        
-        qx_values = [0.001, 0.002, 0.003]
-        qy_values = [0.003, 0.006]
-        
-        qx = numpy.asarray(qx_values)
-        qy = numpy.asarray(qy_values)
-                     
-        new_x = numpy.tile(qx, (len(qy),1))
-        new_y = numpy.tile(qy, (len(qx),1))
-        new_y = new_y.swapaxes(0,1)
-    
-        #iq is 1d array now (since 03-12-2010)
-        qx_prime = new_x.flatten()
-        qy_prime = new_y.flatten()
-        
-        iq = self.model.evalDistribution([qx_prime, qy_prime])
-        
-        for i in range(3):
-            for j in range(2):
-                k = i+len(qx)*j
-                self.assertAlmostEquals(iq[k], expected[i][j])
-
-
-                
-class TestEvalMethods(unittest.TestCase):
-    """ Testing evalDistribution for C models """
-
-    def setUp(self):
-        self.model= SphereModel()
-        
-    def test_scalar_methods(self):
-        """
-            Simple test comparing the run(), runXY() and
-            evalDistribution methods
-        """
-        q1 = self.model.run(0.001)
-        q2 = self.model.runXY(0.001)
-        q4 = self.model.run(0.002)
-        qlist3 = numpy.asarray([0.001, 0.002])
-        q3 = self.model.evalDistribution(qlist3)
-
-        self.assertEqual(q1, q2)
-        self.assertEqual(q1, q3[0])
-        self.assertEqual(q4, q3[1])
-        
-    def test_XY_methods(self):
-        """
-            Compare to the runXY() method for 2D models.
-            
-                      +--------+--------+--------+
-            qy=0.009  |        |        |        | 
-                      +--------+--------+--------+
-            qy-0.006  |        |        |        |
-                      +--------+--------+--------+            
-            qy=0.003  |        |        |        | 
-                      +--------+--------+--------+
-                      qx=0.001   0.002   0.003
-            
-        """
-        # These are the expected values for all bins
-        expected = numpy.zeros([3,3])
-        for i in range(3):
-            for j in range(3):
-                q_length = math.sqrt( (0.001*(i+1.0))*(0.001*(i+1.0)) + (0.003*(j+1.0))*(0.003*(j+1.0)) )
-                expected[i][j] = self.model.run(q_length)
-        
-        qx_values = [0.001, 0.002, 0.003]
-        qy_values = [0.003, 0.006, 0.009]
-        
-        qx = numpy.asarray(qx_values)
-        qy = numpy.asarray(qy_values)
-              
-        new_x = numpy.tile(qx, (len(qy),1))
-        new_y = numpy.tile(qy, (len(qx),1))
-        new_y = new_y.swapaxes(0,1)
-    
-        #iq is 1d array now (since 03-12-2010)
-        qx_prime = new_x.flatten()
-        qy_prime = new_y.flatten()
-        
-        iq = self.model.evalDistribution([qx_prime, qy_prime])
-        
-        for i in range(3):
-            for j in range(3):
-                # convert index into 1d array
-                k = i+len(qx)*j
-                self.assertAlmostEquals(iq[k], expected[i][j])
-                
-
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_extra_models.py
===================================================================
--- test/sasmodels/test/utest_extra_models.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,366 +1,0 @@
-"""
-Unit tests for extra models,PolymerexclVolume, RPA10Model
-The reference values are calculated on IGOR/NIST package(Oct.,2010)
-@author: JHJ Cho / UTK
-"""
-import unittest
-class TestPolymerExclVolume(unittest.TestCase):
-    """
-    Unit tests for PolymerexclVolume (non-shape) function
-    """
-    def setUp(self):
-        from sas.models.PolymerExclVolume import PolymerExclVolume
-        self.model= PolymerExclVolume()
-        
-    def test1D(self):          
-        # the values are from Igor pro calculation    
-        self.assertAlmostEqual(self.model.run(0.001), 0.998801, 6)
-        self.assertAlmostEqual(self.model.run(0.21571), 0.00192041, 6)
-        self.assertAlmostEqual(self.model.runXY(0.41959), 0.000261302, 6)
-        
-class TestRPA10Case(unittest.TestCase):
-    """
-    Unit tests for RPA10Model (non-shape) function
-    """
-    def setUp(self):
-        from sas.models.RPA10Model import RPA10Model
-        self.model0= RPA10Model(0)
-        self.model1= RPA10Model(1)
-        self.model2= RPA10Model(2)
-        self.model3= RPA10Model(3)
-        self.model4= RPA10Model(4)
-        self.model5= RPA10Model(5)
-        self.model6= RPA10Model(6)
-        self.model7= RPA10Model(7)
-        self.model8= RPA10Model(8)
-        self.model9= RPA10Model(9)
-        
-    def test1D(self):          
-        # the test values are from Igor pro calculation   
-        # case 0 
-        # set default of vol fration consistent with IGor
-        self.model0.setParam('Phic',0.5)
-        self.model0.setParam('Phid',0.5)
-        self.assertAlmostEqual(self.model0.run(0.001), 0.0716863, 6)
-        self.assertAlmostEqual(self.model0.runXY(0.414955), 0.00396997, 6)
-        # case 1
-        # set default of vol fration consistent with IGor
-        self.model1.setParam('Phic',0.5)
-        self.model1.setParam('Phid',0.5)
-        self.assertAlmostEqual(self.model1.run(0.001), 0.00395016, 6)
-        self.assertAlmostEqual(self.model1.runXY(0.414955), 0.00396735, 6)
-        # case 2 
-        # set default of vol fration consistent with IGor
-        self.model2.setParam('Phib',0.33)
-        self.model2.setParam('Phic',0.33)
-        self.model2.setParam('Phid',0.33)
-        self.assertAlmostEqual(self.model2.run(0.001), 0.0932902, 6)
-        self.assertAlmostEqual(self.model2.runXY(0.414955), 0.00355736, 6)
-        # case 3
-        # set default of vol fration consistent with IGor
-        self.model3.setParam('Phib',0.33)
-        self.model3.setParam('Phic',0.33)
-        self.model3.setParam('Phid',0.33)
-        self.assertAlmostEqual(self.model3.run(0.001), 0.026254, 6)
-        self.assertAlmostEqual(self.model3.runXY(0.414955), 0.00355577, 6)
-        # case 4
-        # set default of vol fration consistent with IGor
-        self.model4.setParam('Phib',0.33)
-        self.model4.setParam('Phic',0.33)
-        self.model4.setParam('Phid',0.33)
-        self.assertAlmostEqual(self.model4.run(0.001), 0.0067433, 6)
-        self.assertAlmostEqual(self.model4.runXY(0.414955), 0.00355656, 6)
-        # case 5
-        self.assertAlmostEqual(self.model5.run(0.001), 0.102636, 6)
-        self.assertAlmostEqual(self.model5.runXY(0.414955), 0.00305812, 6)
-        # case 6
-        self.assertAlmostEqual(self.model6.run(0.001), 0.0370357, 6)
-        self.assertAlmostEqual(self.model6.runXY(0.414955), 0.00305708, 6)
-        # case 7
-        self.assertAlmostEqual(self.model7.run(0.001), 0.0167775, 6)
-        self.assertAlmostEqual(self.model7.runXY(0.414955), 0.00305743, 6)
-        # case 8
-        self.assertAlmostEqual(self.model8.run(0.001), 0.0378691, 6)
-        self.assertAlmostEqual(self.model8.runXY(0.414955), 0.00305743, 6)
-        # case 9
-        self.assertAlmostEqual(self.model9.run(0.001), 0.00839376, 6)
-        self.assertAlmostEqual(self.model9.runXY(0.414955), 0.00305777, 6)  
-              
-class TestBarBell(unittest.TestCase):
-    """
-    Unit tests for BarBell function
-    """
-    def setUp(self):
-        from sas.models.BarBellModel import BarBellModel
-        self.model= BarBellModel()
-        
-    def test1D(self):          
-        # the values are from Igor pro calculation    
-        self.assertAlmostEqual(self.model.run(0.001), 2864.7, 1)
-        self.assertAlmostEqual(self.model.run(0.215268), 0.526351, 4)
-        self.assertAlmostEqual(self.model.runXY(0.414467), 0.0685892, 6)
-
-class TestCappedCylinder(unittest.TestCase):
-    """
-    Unit tests for CappedCylinder function
-    """
-    def setUp(self):
-        from sas.models.CappedCylinderModel import CappedCylinderModel
-        self.model= CappedCylinderModel()
-        
-    def test1D(self):          
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 1424.72, 2)
-        self.assertAlmostEqual(self.model.run(0.215268), 0.360736, 4)
-        self.assertAlmostEqual(self.model.runXY(0.414467), 0.110283, 5)
-
-class TestLamellarParaCrystal(unittest.TestCase):
-    """
-    Unit tests for LamellarParaCystal function
-    """
-    def setUp(self):
-        from sas.models.LamellarPCrystalModel import LamellarPCrystalModel
-        self.model= LamellarPCrystalModel()
-        
-    def test1D(self):    
-        self.model.setParam("pd_spacing", 0.2)      
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 21829.3, 1)
-        self.assertAlmostEqual(self.model.run(0.215268), 0.00487686, 6)
-        self.assertAlmostEqual(self.model.runXY(0.414467), 0.00062029, 6)
-
-
-class TestSCParaCrystal(unittest.TestCase):
-    """
-    Unit tests for Simple Cubic ParaCrystal Model function
-    """
-    def setUp(self):
-        from sas.models.SCCrystalModel import SCCrystalModel
-        self.model= SCCrystalModel()
-        
-    def test1D(self):        
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 10.3038, 4)
-        self.assertAlmostEqual(self.model.run(0.215268), 0.00714905, 6)
-        self.assertAlmostEqual(self.model.runXY(0.414467), 0.000313289, 6)
-
-class TestFCParaCrystal(unittest.TestCase):
-    """
-    Unit tests for Face Centered Cubic ParaCrystal Model function
-    """
-    def setUp(self):
-        from sas.models.FCCrystalModel import FCCrystalModel
-        self.model= FCCrystalModel()
-        
-    def test1D(self):       
-        self.model.setParam("d_factor", 0.05)  
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 0.121017, 6)
-        self.assertAlmostEqual(self.model.run(0.215268), 0.0107218, 6)
-        self.assertAlmostEqual(self.model.runXY(0.414467), 0.000443282, 6)
-
-class TestBCParaCrystal(unittest.TestCase):
-    """
-    Unit tests for Body Centered Cubic ParaCrystal Model function
-    """
-    def setUp(self):
-        from sas.models.BCCrystalModel import BCCrystalModel
-        self.model= BCCrystalModel()
-        
-    def test1D(self):        
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 1.77267, 4)
-        self.assertAlmostEqual(self.model.run(0.215268), 0.00927739, 6)
-        self.assertAlmostEqual(self.model.runXY(0.414467), 0.000406973, 6)
-                               
-
-class TestGuinierPorod(unittest.TestCase):
-    """
-    Unit tests for GuinierPorod Model function
-    """
-    def setUp(self):
-        from sas.models.GuinierPorodModel import GuinierPorodModel 
-        self.model= GuinierPorodModel()
-        
-    def test1D(self):        
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 995.112, 3)
-        self.assertAlmostEqual(self.model.run(0.105363), 0.162904, 5)
-        self.assertAlmostEqual(self.model.runXY(0.441623), 0.100854, 6)
-
-class TestGaussLorentzGel(unittest.TestCase):
-    """
-    Unit tests for GuinierPorod Model function
-    """
-    def setUp(self):
-        from sas.models.GaussLorentzGelModel import GaussLorentzGelModel
-        self.model= GaussLorentzGelModel()
-        
-    def test1D(self):        
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 149.481, 3)
-        self.assertAlmostEqual(self.model.run(0.105363), 9.1903, 4)
-        self.assertAlmostEqual(self.model.runXY(0.441623), 0.632811, 5)
-                                
-
-class TestTwoPowerLaw(unittest.TestCase):
-    """
-    Unit tests for TwoPowerLaw Model function
-    """
-    def setUp(self):
-        from sas.models.TwoPowerLawModel import TwoPowerLawModel
-        self.model= TwoPowerLawModel()
-        
-    def test1D(self):        
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertEqual(self.model.run(0.001), 1000)
-        self.assertAlmostEqual(self.model.run(0.150141), 0.125945, 5)
-        self.assertAlmostEqual(self.model.runXY(0.442528), 0.00166884, 7)
-                                
-class TestTwoLorentzian(unittest.TestCase):
-    """
-    Unit tests for TwoLorentzian Model function
-    """
-    def setUp(self):
-        from sas.models.TwoLorentzianModel import TwoLorentzianModel
-        self.model= TwoLorentzianModel()
-        
-    def test1D(self):        
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 11.0899, 3)
-        self.assertAlmostEqual(self.model.run(0.150141), 0.410245, 5)
-        self.assertAlmostEqual(self.model.runXY(0.442528), 0.148699, 6)
-                                
-
-class TestCorrLengthLaw(unittest.TestCase):
-    """
-    Unit tests for CorrLength Model function
-    """
-    def setUp(self):
-        from sas.models.CorrLengthModel import CorrLengthModel
-        self.model= CorrLengthModel()
-        
-    def test1D(self):        
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 1010.08, 1)
-        self.assertAlmostEqual(self.model.run(0.150141), 0.274645, 5)
-        self.assertAlmostEqual(self.model.runXY(0.442528), 0.120396, 6)
-                                
-
-class TestBroadPeak(unittest.TestCase):
-    """
-    Unit tests for BroadPeak Model function
-    """
-    def setUp(self):
-        from sas.models.BroadPeakModel import BroadPeakModel
-        self.model= BroadPeakModel()
-        
-    def test1D(self):        
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 10000.5, 1)
-        self.assertAlmostEqual(self.model.run(0.1501412), 1.47557, 5)
-        self.assertAlmostEqual(self.model.runXY(0.4425284), 0.134093, 6)
-        
-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 TestUnifiedPowerRg(unittest.TestCase):
-    """
-    Unit tests for FractalCoreShell Model function
-    """
-    def setUp(self):
-        from sas.models.UnifiedPowerRgModel import UnifiedPowerRgModel
-        self.model1= UnifiedPowerRgModel(1)
-        self.model4= UnifiedPowerRgModel(4)
-        
-    def test1DLabel1(self):        
-        # Label #1
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model1.run(0.001), 2.99956, 5)
-        self.assertAlmostEqual(self.model1.run(0.1501412), 0.126506, 6)
-        self.assertAlmostEqual(self.model1.runXY(0.4425284), 0.00306386, 8)                             
- 
-    def test1DLabel4(self):        
-        # Label #4
-        # Set params consistent w/NIST
-        # No. 4 already same
-        # No. 3
-        self.model4.setParam('Rg3', 200)
-        self.model4.setParam('B3', 5e-06)
-        self.model4.setParam('G3', 400)
-        # No. 2
-        self.model4.setParam('Rg2', 600)
-        self.model4.setParam('B2', 2e-07)
-        self.model4.setParam('G2', 4000)
-        # No. 1
-        self.model4.setParam('Rg1', 2000)
-        self.model4.setParam('B1', 1e-08)
-        self.model4.setParam('G1', 40000)
-        
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model4.run(0.001), 14778.4, 1)
-        self.assertAlmostEqual(self.model4.run(0.0301614), 7.88115, 4)
-        self.assertAlmostEqual(self.model4.run(0.1501412), 0.126864, 6)
-        self.assertAlmostEqual(self.model4.runXY(0.4425284), 0.00306386, 8)  
-                                                                              
-
-class TestCSPP(unittest.TestCase):
-    """
-    Unit tests for CSParallelepiped Model function
-    """
-    def setUp(self):
-        from sas.models.CSParallelepipedModel import CSParallelepipedModel
-        self.model= CSParallelepipedModel()
-        
-    def test1D(self):        
-        # the values are from Igor pro calculation  
-        # the different digits are due to precision of q values  
-        self.assertAlmostEqual(self.model.run(0.001), 1383.96, 2)
-        self.assertAlmostEqual(self.model.run(0.1501412), 2.51932, 4)
-        self.assertAlmostEqual(self.model.runXY(0.4425284), 0.0736735, 6)
-                                                                                                                                                          
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_model_calculate_ER.py
===================================================================
--- test/sasmodels/test/utest_model_calculate_ER.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,249 +1,0 @@
-"""
-    Unit tests for calculate_ER of specific models
-    @author: JHJ Cho / UTK
-"""
-
-import unittest, time, math, numpy
-
-        
-class TestSphere(unittest.TestCase):
-    """ Unit tests for calculate_ER (sphere model) """
-    
-    def setUp(self):
-        from sas.models.SphereModel import SphereModel
-        self.comp = SphereModel()
-        
-    def test(self):
-        """ Test 1D model for a sphere """
-        self.comp.setParam("radius", 20)
-        self.assertAlmostEqual(self.comp.calculate_ER(), 20)
-        
-class TestCoreShell(unittest.TestCase):
-    """ Unit tests for calculate_ER (CoreShellModel) """
-    
-    def setUp(self):
-        from sas.models.CoreShellModel import CoreShellModel
-        self.comp = CoreShellModel()
-        
-    def test(self):
-        """ Test 1D model for a CoreShell """
-        self.comp.setParam("radius", 20)
-        self.comp.setParam("thickness", 20)
-        self.assertAlmostEqual(self.comp.calculate_ER(), 40)       
-         
-class TestMultiShell(unittest.TestCase):
-    """ Unit tests for calculate_ER (MultiShellModel) """
-    
-    def setUp(self):
-        from sas.models.MultiShellModel import MultiShellModel
-        self.comp = MultiShellModel()
-        
-    def test(self):
-        """ Test 1D model for a MultiShell """
-        self.comp.setParam("core_radius", 60)
-        self.comp.setParam("s_thickness", 10)
-        self.comp.setParam("w_thickness", 15)
-        self.comp.setParam("n_pairs", 2)
-        self.assertAlmostEqual(self.comp.calculate_ER(), 95)      
-
-class TestVesicle(unittest.TestCase):
-    """ Unit tests for calculate_ER (VesicleModel) """
-    
-    def setUp(self):
-        from sas.models.VesicleModel import VesicleModel
-        self.comp = VesicleModel()
-        
-    def test(self):
-        """ Test 1D model for a Vesicle """
-        self.comp.setParam("radius", 60)
-        self.comp.setParam("thickness", 30)
-        self.assertAlmostEqual(self.comp.calculate_ER(), 90)   
-
-class TestCylinder(unittest.TestCase):
-    """ Unit tests for calculate_ER (cylinder model) """
-    
-    def setUp(self):
-        from sas.models.CylinderModel import CylinderModel
-        from sas.models.DiamCylFunc import DiamCylFunc
-        self.comp = CylinderModel()
-        self.diam = DiamCylFunc()
-        
-    def test(self):
-        """ Test 1D model for a Cylinder """
-        self.comp.setParam("radius", 20)
-        self.comp.setParam("length",400)
-        self.diam.setParam("radius", 20)
-        self.diam.setParam("length",400)       
-        self.assertAlmostEqual(self.comp.calculate_ER(), self.diam.run(0.1)/2)  
-         
-class TestCoreShellCylinder(unittest.TestCase):
-    """ Unit tests for calculate_ER (CoreShellcylinder model) """
-    
-    def setUp(self):
-        from sas.models.CoreShellCylinderModel import CoreShellCylinderModel
-        from sas.models.DiamCylFunc import DiamCylFunc
-        self.comp = CoreShellCylinderModel()
-        self.diam = DiamCylFunc()
-        
-    def test(self):
-        """ Test 1D model for a CoreShellCylinder """
-        self.comp.setParam("radius", 20)
-        self.comp.setParam("thickness", 10)
-        self.comp.setParam("length",400)
-        self.diam.setParam("radius", 30)
-        self.diam.setParam("length",420)       
-        self.assertAlmostEqual(self.comp.calculate_ER(), self.diam.run(0.1)/2)   
-
-class TestHollowCylinder(unittest.TestCase):
-    """ Unit tests for calculate_ER (Hollowcylinder model) """
-    
-    def setUp(self):
-        from sas.models.HollowCylinderModel import HollowCylinderModel
-        from sas.models.DiamCylFunc import DiamCylFunc
-        self.comp = HollowCylinderModel()
-        self.diam = DiamCylFunc()
-        
-    def test(self):
-        """ Test 1D model for a Hollowcylinder """
-        self.comp.setParam("radius", 20)
-        self.comp.setParam("length",400)
-        self.diam.setParam("radius", 20)
-        self.diam.setParam("length",400)       
-        self.assertAlmostEqual(self.comp.calculate_ER(), self.diam.run(0.1)/2)        
-
-class TestStackedDisksModel(unittest.TestCase):
-    """ Unit tests for calculate_ER (StackedDisks model) """
-    
-    def setUp(self):
-        from sas.models.StackedDisksModel import StackedDisksModel
-        from sas.models.DiamCylFunc import DiamCylFunc
-        self.comp = StackedDisksModel()
-        self.diam = DiamCylFunc()
-        
-    def test(self):
-        """ Test 1D model for a StackedDisks """
-        self.comp.setParam("radius", 3000)
-        self.comp.setParam("n_stacking", 2)
-        self.comp.setParam("core_thick",10)
-        self.comp.setParam("layer_thick", 15)
-        self.diam.setParam("radius", 3000)
-        self.diam.setParam("length",80)       
-        self.assertAlmostEqual(self.comp.calculate_ER(), self.diam.run(0.1)/2)  
-             
-class TestEllipticalCylinder(unittest.TestCase):
-    """ Unit tests for calculate_ER (EllipticalCylindermodel) """
-    
-    def setUp(self):
-        from sas.models.EllipticalCylinderModel import EllipticalCylinderModel
-        from sas.models.DiamCylFunc import DiamCylFunc
-        self.comp = EllipticalCylinderModel()
-        self.diam = DiamCylFunc()
-        
-    def test(self):
-        """ Test 1D model for a EllipticalCylinder """
-        self.comp.setParam("r_minor", 20)
-        self.comp.setParam("r_ratio",1.5)  
-        self.comp.setParam("length",400)  
-        r_value = math.sqrt(20*20*1.5)    
-        self.diam.setParam("radius", r_value)
-        self.diam.setParam("length",400)       
-        self.assertAlmostEqual(self.comp.calculate_ER(), self.diam.run(0.1)/2)  
-         
-class TestParallelepiped(unittest.TestCase):
-    """ Unit tests for calculate_ER (Parallelepipedmodel) """
-    
-    def setUp(self):
-        from sas.models.ParallelepipedModel import ParallelepipedModel
-        from sas.models.DiamCylFunc import DiamCylFunc
-        self.comp = ParallelepipedModel()
-        self.diam = DiamCylFunc()
-        
-    def test(self):
-        """ Test 1D model for a Parallelepiped """
-        self.comp.setParam("short_a", 35)
-        self.comp.setParam("short_b", 75)  
-        self.comp.setParam("long_c",400)  
-        r_value = math.sqrt(35*75/math.pi)    
-        self.diam.setParam("radius", r_value)
-        self.diam.setParam("length",400)   
-        self.assertAlmostEqual(self.comp.calculate_ER(), self.diam.run(0.1)/2)   
-                                                  
-class TestEllipsoid(unittest.TestCase):
-    """ Unit tests for calculate_ER (Ellipsoid model) """
-    
-    def setUp(self):
-        from sas.models.EllipsoidModel import EllipsoidModel
-        from sas.models.DiamEllipFunc import DiamEllipFunc
-        self.comp = EllipsoidModel()
-        self.diam = DiamEllipFunc()
-        
-    def test(self):
-        """ Test 1D model for a Ellipsoid """
-        self.comp.setParam("radius_a", 20)
-        self.comp.setParam("radius_b",400)
-        self.diam.setParam("radius_a", 20)
-        self.diam.setParam("radius_b",400)       
-        self.assertAlmostEqual(self.comp.calculate_ER(), self.diam.run(0.1)/2)   
-
-class TestCoreShellEllipsoid(unittest.TestCase):
-    """ Unit tests for calculate_ER (CoreShellEllipsoid model) """
-    
-    def setUp(self):
-        from sas.models.CoreShellEllipsoidModel import CoreShellEllipsoidModel
-        from sas.models.DiamEllipFunc import DiamEllipFunc
-        self.comp = CoreShellEllipsoidModel()
-        self.diam = DiamEllipFunc()
-        
-    def test(self):
-        """ Test 1D model for a CoreShellEllipsoid """
-        self.comp.setParam("polar_shell", 20)
-        self.comp.setParam("equat_shell",400)       
-        self.diam.setParam("radius_a", 20)
-        self.diam.setParam("radius_b",400)
-        self.assertAlmostEqual(self.comp.calculate_ER(), self.diam.run(0.1)/2) 
-
-class TestTriaxialEllipsoid(unittest.TestCase):
-    """ Unit tests for calculate_ER (TriaxialEllipsoid model) """
-    
-    def setUp(self):
-        from sas.models.TriaxialEllipsoidModel import TriaxialEllipsoidModel
-        from sas.models.DiamEllipFunc import DiamEllipFunc
-        self.comp = TriaxialEllipsoidModel()
-        self.diam = DiamEllipFunc()
-        
-    def test(self):
-        """ Test 1D model for a TriaxialEllipsoid """
-        self.comp.setParam("semi_axisA", 35)
-        self.comp.setParam("semi_axisB", 100)
-        self.comp.setParam("semi_axisC", 400)  
-        r_value = math.sqrt(35*100)    
-        self.diam.setParam("radius_a", 400)
-        self.diam.setParam("radius_b",r_value)
-        self.assertAlmostEqual(self.comp.calculate_ER(), self.diam.run(0.1)/2) 
-                    
-class TestLamellar(unittest.TestCase):
-    """ Unit tests for calculate_ER (Lamellarmodel)"""
-    
-    def setUp(self):
-        from sas.models.LamellarModel import LamellarModel
-        self.comp = LamellarModel()
-        
-    def test(self):
-        """ Test 1D model for a Lamellar """
-        #No finite number should return from Lamellar models.
-        self.assertTrue(numpy.isfinite(self.comp.calculate_ER())) 
-         
-class TestGuinier(unittest.TestCase):
-    """ Unit tests for calculate_ER (Guinier model) """
-    
-    def setUp(self):
-        from sas.models.GuinierModel import GuinierModel
-        self.comp = GuinierModel()
-        
-    def test(self):
-        """ Test 1D model for Guinier """    
-        #calculate_ER() is not implemented for pure python model functions
-        self.assertEqual(self.comp.calculate_ER(), NotImplemented)  
-        
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_model_onionexpshell.py
===================================================================
--- test/sasmodels/test/utest_model_onionexpshell.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,142 +1,0 @@
-"""
-    Unit tests for specific models
-    @author: JHJ Cho / UTK
-"""
-
-import unittest
-
-class TestOnionExpShell1(unittest.TestCase):
-    """ 
-        Unit tests for OnionExpShellModel
-    """
-    def setUp(self):
-
-        from sas.models.OnionExpShellModel import OnionExpShellModel
-        from sas.models.CoreMultiShellModel import CoreMultiShellModel
-        from sas.models.VesicleModel import VesicleModel 
-        
-        # intit models and the multifactor
-        self.model = OnionExpShellModel(1)
-        self.model2 = OnionExpShellModel(1).model
-        self.model3 = CoreMultiShellModel(1)
-        self.model4 = VesicleModel()
-        self.model5 = OnionExpShellModel(9)
-        
-    def test_compare_Exp0_flat(self):
-        """
-        Check if Exp function with A_shell=0 gives the same value as Flat function
-        """
-        print "\n*****Note: All tests (test_compare_Exp0_flat and test_compare_Expsmall_line) were passes since Sept. 18, 2010..."
-        # Exp: func_shell = 2, Line: func_shell =1 , Flat: func_shell = 0.
-        # A_shell = The coefficient of the exponential function: exp(A_shell*(r-ro)/thick_shell)
-        # exp function by default
-        # exp function crosses over to flat func at A_shell=0
-        self.model.setParam("A_shell1", 0)
-        # set A_shell=1
-        self.model2.setParam("A_shell1", 1)
-        # change the function to flat function
-        self.model2.setParam("func_shell1", 0)
-        #self.model2.setParam("sld_in_shell1", 1.7e-006)
-        #self.model2.setParam("sld_out_shell1", 1.7e-006)
-        
-        # model3: set param values as same as the model2
-        self.model3.setParam("background", 0.0)
-        self.model3.setParam("rad_core0", 200.0)
-        self.model3.setParam("scale", 1.0)
-        self.model3.setParam("sld_core0", 1.0e-006)
-        self.model3.setParam("sld_shell1", 1.7e-006)
-        self.model3.setParam("sld_solv", 6.4e-006)
-        self.model3.setParam("thick_shell1", 50.0)
-        
-        #Compare exp(A=0) to flat (where A_shell is null) function
-        self.assertEqual(self.model.run(0.1),self.model2.run(0.1))
-        self.assertAlmostEqual(self.model2.run(0.1),self.model3.run(0.1),10)
-        
-
-  
-    def test_compare_Expsmall_line(self):
-        """
-        Check if Exp function with A_shell-->0 gives the same value 
-        as a linear function
-        """
-        # exp function crosses over to line func as A_shell-->0
-        self.model.setParam("A_shell1", 0.000001)
-        self.model2.setParam("A_shell1", 1)
-        # change the function to a line function
-        self.model2.setParam("func_shell1", 1)
-        
-        #Compare exp(A=0.000001) to linear (where A_shell is null) function   
-        self.assertAlmostEqual(self.model.run(0.1),self.model2.run(0.1),4)
-        
-    def test_compare_time_linear_flat_functions(self):
-        """
-        Compare the calculation time between func=1(linear) , and 2 (step).
-        """
-        from time import time
-        # using linear func
-        self.model5.model.setParam("func_shell1", 1)
-        #input
-        input = [0.01,0.01]
-        st = time()
-        for iter in range(0,100000):
-            out1 = self.model5.model.run(0.01)
-        time_linear = time()-st
-        
-        # using flat function
-        self.model5.model.setParam("func_shell1", 0)
-        st = time()
-        for iter in range(0,100000):
-            out2 = self.model5.model.run(0.01)
-        time_flat = time()-st
-        
-        print "time (linear) = %s, \n time (flat) = %s"% (time_linear,time_flat)
-        
-        #Compare time of the calculation: time_linear takes a bit longer
-        # but they are not much different  
-        self.assertNotEqual(out1, out2)
-        #self.assertAlmostEqual(time_linear, time_flat, 0)
-  
-    # this feature removed!!!
-    """
-    def test_compare_Exp0_flat_vesicle(self):
-    """
-    """
-        Check if Exp function with A_shell=0 gives the same value as Flat 
-        function of vesicle model when sld_solv=sld_core
-        """
-    """
-        print "\n*****Note: All tests (test_compare_Exp0_flat and \
-            test_compare_Expsmall_line) were passes since Sept. 18, 2010..."
-        # Exp: func_shell = 2, Line: func_shell =1 , Flat: func_shell = 0.
-        # A_shell = The coefficient of the exponential function: exp(A_shell*(r-ro)/thick_shell)
-        # exp function by default
-        # exp function crosses over to flat func at A_shell=0
-        self.model.setParam("A_shell1", 0)
-                # set A_shell=1
-        self.model2.setParam("A_shell1", 1)
-        # change the function to flat function
-        self.model2.setParam("func_shell1", 0)
-        
-        # model: set param values as same as the model2
-        self.model.setParam("background", 0.0)
-        self.model.setParam("rad_core0", 100.0)
-        self.model.setParam("scale", 1.0)
-        self.model.setParam("sld_core0", 6.36e-006)
-        self.model.setParam("sld_in_shell1", 5e-007)
-        self.model.setParam("sld_solv", 6.36e-006)
-        self.model.setParam("thick_shell1", 30.0)
-        # model2: set param values as same as the model2
-        self.model2.setParam("background", 0.0)
-        self.model2.setParam("rad_core0", 100.0)
-        self.model2.setParam("scale", 1.0)
-        self.model2.setParam("sld_core0", 6.36e-006)
-        self.model2.setParam("sld_in_shell1", 5e-007)
-        self.model2.setParam("sld_solv", 6.36e-006)
-        self.model2.setParam("thick_shell1", 30.0)
-        #Compare exp(A=0) to flat (where A_shell is null) function
-        self.assertEqual(self.model.run(0.1),self.model4.run(0.1))
-        self.assertEqual(self.model2.run(0.1),self.model4.run(0.1))
-        #self.assertAlmostEqual(self.model2.run(0.1),self.model3.run(0.1),10)
-    """               
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_model_pearlnecklace.py
===================================================================
--- test/sasmodels/test/utest_model_pearlnecklace.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,70 +1,0 @@
-"""
-    Unit tests for specific models II
-"""
-
-import unittest, time, math
-     
-class TestPerlNecklace(unittest.TestCase):
-    """ Unit tests for PerlNecklace """
-    
-    def setUp(self):
-        from sas.models.PearlNecklaceModel import PearlNecklaceModel
-        self.pnl = PearlNecklaceModel()
-        from sas.models.LinearPearlsModel import LinearPearlsModel
-        self.lpm = LinearPearlsModel()
-        from sas.models.SphereModel import SphereModel
-        self.sphere = SphereModel()
-        from sas.models.BarBellModel import BarBellModel
-        self.bar = BarBellModel()
-        
-    def testwithsphere(self):
-        """ Compare 1D model with sphere """
-        self.pnl.setParam("radius", 60)
-        self.pnl.setParam("num_pearls", 1)
-        self.pnl.setParam("sld_pearl", 2e-06)
-        self.pnl.setParam("sld_solv", 1e-06)
-        self.assertAlmostEqual(self.pnl.run(0.001), self.sphere.run(0.001), 5)
-        self.assertAlmostEqual(self.pnl.run(0.005), self.sphere.run(0.005), 5)
-        self.assertAlmostEqual(self.pnl.run(0.01), self.sphere.run(0.01), 5)
-        self.assertAlmostEqual(self.pnl.run(0.05), self.sphere.run(0.05), 5)
-        self.assertAlmostEqual(self.pnl.run(0.1), self.sphere.run(0.1), 5)
-        self.assertAlmostEqual(self.pnl.run(0.5), self.sphere.run(0.5), 5)
-        
-    def testwithbarbell(self):
-        """ 
-        Compare 1D model with barbell
-        
-        Note:  pearlnecklace assumes infinite thin rod
-        """
-        self.pnl.setParam("radius", 20)
-        self.pnl.setParam("num_pearls", 2)
-        self.pnl.setParam("sld_pearl", 1e-06)
-        self.pnl.setParam("sld_string", 1e-06)
-        self.pnl.setParam("sld_solv", 6.3e-06)
-        self.pnl.setParam("thick_string", 0.1)
-        self.pnl.setParam("edge_separation", 400)
-        self.bar.setParam("rad_bar", 0.1)
-        self.bar.setParam("rad_bell", 20)
-        self.lpm.setParam("radius", 20)
-        self.lpm.setParam("num_pearls", 2)
-        self.lpm.setParam("sld_pearl", 1e-06)
-        self.lpm.setParam("sld_solv", 6.3e-06)
-        self.lpm.setParam("edge_separation", 400)
-                
-        self.assertAlmostEqual(self.pnl.run(0.001), self.bar.run(0.001), 1)
-        self.assertAlmostEqual(self.pnl.run(0.005), self.bar.run(0.005), 1)
-        self.assertAlmostEqual(self.pnl.run(0.01), self.bar.run(0.01), 1)
-        self.assertAlmostEqual(self.pnl.run(0.05), self.bar.run(0.05), 1)
-        self.assertAlmostEqual(self.pnl.run(0.1), self.bar.run(0.1), 1)
-        self.assertAlmostEqual(self.pnl.run(0.5), self.bar.run(0.5), 1)
-        
-        self.assertAlmostEqual(self.pnl.run(0.001), self.lpm.run(0.001), 1)
-        self.assertAlmostEqual(self.pnl.run(0.005), self.lpm.run(0.005), 1)
-        self.assertAlmostEqual(self.pnl.run(0.01), self.lpm.run(0.01), 1)
-        self.assertAlmostEqual(self.pnl.run(0.05), self.lpm.run(0.05), 1)
-        self.assertAlmostEqual(self.pnl.run(0.1), self.lpm.run(0.1), 1)
-        self.assertAlmostEqual(self.pnl.run(0.5), self.lpm.run(0.5), 1)
-        
-
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_model_pringle.py
===================================================================
--- test/sasmodels/test/utest_model_pringle.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,18 +1,0 @@
-"""
-    Unit tests for specific model
-"""
-
-import unittest, time, math
-     
-class TestPringle(unittest.TestCase):
-    
-    def setUp(self):
-        from sas.models.PringlesModel import PringlesModel
-        self.pm = PringlesModel()
-        
-    def test1D(self):
-        '''Test 1D model of a pringle particle'''
-        self.assertAlmostEqual(self.pm.run(0.1), 10.0729, 4)
-        
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_model_sphericalsldmodel.py
===================================================================
--- test/sasmodels/test/utest_model_sphericalsldmodel.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,77 +1,0 @@
-"""
-    Unit tests for specific models
-    @author: JHJ Cho / UTK
-"""
-
-import unittest
-
-class TestSphericalSLDModel(unittest.TestCase):
-    """ 
-        Unit tests for OnionExpShellModel
-    """
-    def setUp(self):
-
-        from sas.models.SphericalSLDModel import SphericalSLDModel
-        from sas.models.OnionExpShellModel import OnionExpShellModel
-        
-        # intit models and the multifactor
-        # layer 
-        self.model = SphericalSLDModel(1)
-        self.model2 = OnionExpShellModel(3)
-        
-    def test_compare_SphericalSLD_OnionExpShell(self):
-        """
-        Check if SphericalSLD equals (up to 1%) to 
-        OnionExpShellModel with an equivalent SLD profile 
-        """
-        note = "\n*****Note: This test was passes since Nov. 1st, 2010..."
-        print note
-        # set params
-        self.model.setParam("npts_inter", 35)
-        self.model.setParam("rad_core0", 100)
-        self.model.setParam("thick_inter0", 200)
-        self.model.setParam("nu_inter0", 4)
-        # Rexp func
-        self.model.setParam("func_inter0", 3)
-        self.model.setParam("thick_inter1", 200)
-        self.model.setParam("nu_inter1", 4)
-        self.model.setParam("func_inter1", 3)
-        # set A_shell=1
-        self.model2.setParam("sld_core0", 2.07e-006)
-        # change the function to flat function
-        self.model2.setParam("rad_core0", 100)
-        self.model2.setParam("thick_shell1", 200)
-        self.model2.setParam("sld_out_shell1", 4e-006)
-        self.model2.setParam("sld_in_shell1", 2.07e-006)
-        self.model2.setParam("A_shell1", -4)
-        self.model2.setParam("thick_shell2", 100)
-        self.model2.setParam("sld_out_shell2", 4e-006)
-        self.model2.setParam("sld_in_shell2", 4e-006)
-        self.model2.setParam("A_shell2", 0)
-        self.model2.setParam("thick_shell3", 200)
-        self.model2.setParam("sld_out_shell3", 1e-006)
-        self.model2.setParam("sld_in_shell3", 4e-006)
-        self.model2.setParam("A_shell3", -4)
-        self.model2.setParam("sld_solv", 1e-006)
-        
-        #sphericalsld model runs
-        model_run_0_1 = self.model.run(0.1)
-        model_run_0_01 = self.model.run(0.01)
-        model_run_0_001 = self.model.run(0.001)
-        #onionexp model runs
-        model2_run_0_1 = self.model2.run(0.1)
-        model2_run_0_01 = self.model2.run(0.01)
-        model2_run_0_001 = self.model2.run(0.001)
-        import time
-        st = time.time()
-        qs = []
-        qs = [i/10000 for i in range(1,1000)]
-        out = map(self.model.run,qs)
-        print time.time()-st
-        #Compare exp(A=0) to flat (where A_shell is null) function
-        self.assertAlmostEqual(self.model.run(0.1),self.model2.run(0.1),4)
-        self.assertAlmostEqual(self.model.run(0.01),self.model2.run(0.01),0)
-        self.assertAlmostEqual(self.model.run(0.001),self.model2.run(0.001),-3)
-                        
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_modelmultiplication.py
===================================================================
--- test/sasmodels/test/utest_modelmultiplication.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,726 +1,0 @@
-"""
-    Unit tests for specific models
-    @author: JHJ Cho / UTK
-"""
-#This test replaces the older utests for multiplicationModel. Aug. 31, 2009. JC
-import unittest, numpy,math
-### P*S with sphere model    
-class TestsphereSuareW(unittest.TestCase):
-    """ 
-        Unit tests for SphereModel(Q) * SquareWellStructure(Q)
-    """
-    def setUp(self):
-        from sas.models.SphereModel import SphereModel
-        from sas.models.SquareWellStructure import SquareWellStructure
-        from sas.models.DiamCylFunc import DiamCylFunc
-        from sas.models.MultiplicationModel import MultiplicationModel
-
-        self.model = SphereModel()
-        self.model2 = SquareWellStructure()
-        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)
-        modelDrun = 60
-        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 setparameters and the run & runXY w/ array dispersion)"""
-        ## 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_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'])
-        
-        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)
-        
-        val_1d = self.model3.run(math.sqrt(0.0002))
-        val_2d = self.model3.runXY([0.01,0.01]) 
-        
-        self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02)
-        model4= self.model3.clone()
-        self.assertEqual(model4.getParam("radius"), 20)
-      
-class TestsphereHardS(unittest.TestCase):
-    """ 
-        Unit tests for SphereModel(Q) * HardsphereStructure(Q)
-    """
-    def setUp(self):
-        from sas.models.SphereModel import SphereModel
-        from sas.models.HardsphereStructure import HardsphereStructure
-        from sas.models.DiamCylFunc import DiamCylFunc
-        from sas.models.MultiplicationModel import MultiplicationModel
-
-        self.model = SphereModel()
-        self.model2 = HardsphereStructure()
-        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)
-        modelDrun = 60
-        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_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'])
-        
-        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)
-        
-        val_1d = self.model3.run(math.sqrt(0.0002))
-        val_2d = self.model3.runXY([0.01,0.01]) 
-        
-        self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02)
-        model4= self.model3.clone()
-        self.assertEqual(model4.getParam("radius"), 20)
-class TestsphereSHS(unittest.TestCase):
-    """ 
-        Unit tests for SphereModel(Q) * StickyHSStructure(Q)
-    """
-    def setUp(self):
-        from sas.models.SphereModel import SphereModel
-        from sas.models.StickyHSStructure import StickyHSStructure
-        from sas.models.DiamCylFunc import DiamCylFunc
-        from sas.models.MultiplicationModel import MultiplicationModel
-
-        self.model = SphereModel()
-        self.model2 = StickyHSStructure()
-        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)
-        modelDrun = 60
-        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_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'])
-        
-        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)
-        
-        val_1d = self.model3.run(math.sqrt(0.0002))
-        val_2d = self.model3.runXY([0.01,0.01]) 
-        
-        self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02)
-        model4= self.model3.clone()
-        self.assertEqual(model4.getParam("radius"), 20)
-        
-class TestsphereHayterM(unittest.TestCase):
-    """ 
-        Unit tests for SphereModel(Q) * HayterMSAStructure(Q)
-    """
-    def setUp(self):
-        from sas.models.SphereModel import SphereModel
-        from sas.models.HayterMSAStructure import HayterMSAStructure
-        from sas.models.DiamCylFunc import DiamCylFunc
-        from sas.models.MultiplicationModel import MultiplicationModel
-
-        self.model = SphereModel()
-        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)
-        modelDrun = 60
-        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_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'])
-        
-        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)
-        
-        val_1d = self.model3.run(math.sqrt(0.0002))
-        val_2d = self.model3.runXY([0.01,0.01]) 
-
-        self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02)
-
-        model4= self.model3.clone()
-        self.assertEqual(model4.getParam("radius"), 20)      
-          
-### P*S with cylinder model
-class TestcylinderSuareW(unittest.TestCase):
-    """ 
-        Unit tests for CylinderModel(Q) * SquareWellStructure(Q)
-    """
-    def setUp(self):
-        from sas.models.CylinderModel import CylinderModel
-        from sas.models.SquareWellStructure import SquareWellStructure
-        from sas.models.DiamCylFunc import DiamCylFunc
-        from sas.models.MultiplicationModel import MultiplicationModel
-
-        self.model = CylinderModel()
-        self.model2 = SquareWellStructure()
-        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 setparameters and the run & runXY w/ array dispersion)"""
-        ## 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_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 TestcylinderHardS(unittest.TestCase):
-    """ 
-        Unit tests for CylinderModel(Q) * HardsphereStructure(Q)
-    """
-    def setUp(self):
-        from sas.models.CylinderModel import CylinderModel
-        from sas.models.HardsphereStructure import HardsphereStructure
-        from sas.models.DiamCylFunc import DiamCylFunc
-        from sas.models.MultiplicationModel import MultiplicationModel
-
-        self.model = CylinderModel()
-        self.model2 = HardsphereStructure()
-        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 """
-        ## test details dictionary
-
-        ## test parameters list
-        list3= self.model3.getParamList()
-
-        for item in self.model.getParamList():
-            #model3 parameters should not include scale*
-            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", 0.1)
-        self.assertEqual(self.model3.getParam("scale_factor"), 0.1)
-        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 TestcylinderSHS(unittest.TestCase):
-    """ 
-        Unit tests for SphereModel(Q) * StickyHSStructure(Q)
-    """
-    def setUp(self):
-        from sas.models.CylinderModel import CylinderModel
-        from sas.models.StickyHSStructure import StickyHSStructure
-        from sas.models.DiamCylFunc import DiamCylFunc
-        from sas.models.MultiplicationModel import MultiplicationModel
-
-        self.model = CylinderModel()
-        self.model2 = StickyHSStructure()
-        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_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)        
-        
-class TestGuinierHayterM(unittest.TestCase):
-    """ 
-        Unit tests for GuinierModel(Q) * HayterMSAStructure(Q)
-    """
-    def setUp(self):
-        from sas.models.GuinierModel import GuinierModel
-        from sas.models.HayterMSAStructure import HayterMSAStructure
-        from sas.models.MultiplicationModel import MultiplicationModel
-
-        self.model = GuinierModel()
-        self.model2 = HayterMSAStructure()
-        self.model3 = MultiplicationModel(self.model, self.model2)  
-
-    #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("rg", 60)
-        self.model.setParam("scale", 1)
-        #Compare new method with old method         
-        self.assertEqual(self.model3.run(0.1), self.model.run(0.1)*self.model2.run(0.1))
-        
-        #effective radius calculation is not implemented for this model. 
-        self.assertEqual(self.model3.calculate_ER(), NotImplemented)       
-        
-class TestLamellarHayterM(unittest.TestCase):
-    """ 
-        Unit tests for LamellarModel(Q) * HayterMSAStructure(Q)
-    """
-    def setUp(self):
-        from sas.models.LamellarModel import LamellarModel
-        from sas.models.HayterMSAStructure import HayterMSAStructure
-        from sas.models.MultiplicationModel import MultiplicationModel
-
-        self.model = LamellarModel()
-        self.model2 = HayterMSAStructure()
-        self.model3 = MultiplicationModel(self.model, self.model2)  
-
-    #Radius of model1.calculate_ER should Not be finite.
-    def test_multplication_radius(self):
-        """
-            test multiplication model (check the effective radius & the output
-             of the multiplication)
-        """
-        #Check run       
-        self.assertFalse(numpy.isfinite(self.model3.run(0.1)))
-        #check effective radius . 
-        self.assertTrue(numpy.isfinite(self.model.calculate_ER()))      
-                
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_models.py
===================================================================
--- test/sasmodels/test/utest_models.py	(revision 386ffe12ba023b3eab0fbbb16a6f958ed7c099a3)
+++ 	(revision )
@@ -1,192 +1,0 @@
-"""
-    Unit tests for specific models
-    @author: Mathieu Doucet / UTK
-"""
-
-import unittest, time, math
-
-# Disable "missing docstring" complaint
-# pylint: disable-msg=C0111
-# Disable "too many methods" complaint 
-# pylint: disable-msg=R0904 
-# Disable "could be a function" complaint 
-# pylint: disable-msg=R0201
-
-class TestSpherew(unittest.TestCase):
-    """ Unit tests for sphere model """
-    
-    def setUp(self):
-        from sas.models.CoreFourShellModel import CoreFourShellModel
-        from sas.models.CoreMultiShellModel import CoreMultiShellModel
-        self.comp = CoreMultiShellModel(4)
-        
-    def test1D(self):
-        """ Test 1D model for a sphere """
-        self.comp._set_dispersion()
-        
-class TestSphere(unittest.TestCase):
-    """ Unit tests for sphere model """
-    
-    def setUp(self):
-        from sas.models.SphereModel import SphereModel
-        self.comp = SphereModel()
-        
-    def test1D(self):
-        """ Test 1D model for a sphere """
-        self.assertAlmostEqual(self.comp.run(1.0), 5.6387e-5, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a sphere """
-        self.assertAlmostEqual(self.comp.run([1.0, 1.3]), 5.6387e-5, 4)
-
-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-4)
-     
-    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)
- 
-class TestGaussian(unittest.TestCase):
-    """Unit tests for Gaussian function"""
-    
-    def setUp(self):
-        from sas.models.Gaussian import Gaussian
-        self.gauss= Gaussian()
-        
-    def test1D(self):
-        self.gauss.setParam('scale', 2.0)
-        self.gauss.setParam('center', 1.0)
-        self.gauss.setParam('sigma', 1.0)
-        self.assertEqual(self.gauss.run(1.0), 2.0)
-        value = math.exp(-0.5)
-        self.assertEqual(self.gauss.run(2.0), 2.0*value)
-        
-    def test2D(self):
-        self.gauss.setParam('scale', 2.0)
-        self.gauss.setParam('center', 1.0)
-        self.gauss.setParam('sigma', 1.0)
-        self.assertEqual(self.gauss.runXY([1.0,1.0]), 2.0*2.0)
-        value = math.exp(-0.5)
-        self.assertEqual(self.gauss.runXY([1.0,2.0]), 2.0*2.0*value)
-        self.assertEqual(self.gauss.runXY([2.0,2.0]), 2.0*2.0*value*value)
-        
-    def test2Dphi(self):
-        self.gauss.setParam('scale', 2.0)
-        self.gauss.setParam('center', 1.0)
-        self.gauss.setParam('sigma', 1.0)
-        value = math.exp(-0.5)
-        self.assertAlmostEqual(self.gauss.run([math.sqrt(8.0), math.pi/4.0]), 2.0*2.0*value*value, 5)
-        
-class TestLorentzian(unittest.TestCase):
-    """Unit tests for Lorentzian function"""
-    
-    def setUp(self):
-        from sas.models.Lorentzian import Lorentzian
-        self.lor= Lorentzian()
-        
-    def test1D(self):
-        self.lor.setParam('scale', 2.0)
-        self.lor.setParam('center', 1.0)
-        self.lor.setParam('gamma', 1.0)
-        self.assertEqual(self.lor.run(1.0), 4.0/math.pi)
-        value = 1/math.pi*0.5/(1+.25)
-        self.assertEqual(self.lor.run(2.0), 2.0*value)
-        
-    def test2D(self):
-        self.lor.setParam('scale', 0.5*math.pi)
-        self.lor.setParam('center', 1.0)
-        self.lor.setParam('gamma', 1.0)
-        self.assertEqual(self.lor.run(1.0), 1.0)
-        value = 0.25/(1+.25)
-        self.assertEqual(self.lor.runXY([1.0,2.0]), value)
-        self.assertEqual(self.lor.runXY([2.0,2.0]), value*value)
-        
-    def test2Dphi(self):
-        self.lor.setParam('scale', 0.5*math.pi)
-        self.lor.setParam('center', 1.0)
-        self.lor.setParam('gamma', 1.0)
-        self.assertEqual(self.lor.run(1.0), 1.0)
-        value = 0.25/(1+.25)
-        self.assertAlmostEqual(self.lor.run([math.sqrt(8.0), math.pi/4.0]), value*value, 5)
-        
-class TestSin(unittest.TestCase):
-    """Unit tests for Sin(x) function"""
-    
-    def setUp(self):
-        from sas.models.Sin import Sin
-        self.sin = Sin()
-
-    def test1D(self):
-        self.assertEqual(self.sin.run(1.13), math.sin(1.13))
-        
-    def test2D(self):
-        self.assertEqual(self.sin.run([1.13,0.56]), math.sin(1.13*math.cos(0.56))*math.sin(1.13*math.sin(0.56)))
-        self.assertEqual(self.sin.runXY([1.13,0.56]), math.sin(1.13)*math.sin(0.56))
-        
-class TestCos(unittest.TestCase):
-    """Unit tests for Cos(x) function"""
-    
-    def setUp(self):
-        from sas.models.Cos import Cos
-        self.cos = Cos()
-
-    def test1D(self):
-        self.assertEqual(self.cos.run(1.13), math.cos(1.13))
-        
-    def test2D(self):
-        self.assertEqual(self.cos.run([1.13,0.56]), math.cos(1.13*math.cos(0.56))*math.cos(1.13*math.sin(0.56)))
-        self.assertEqual(self.cos.runXY([1.13,0.56]), math.cos(1.13)*math.cos(0.56))
-        
-class TestConstant(unittest.TestCase):
-    """Unit tests for Cos(x) function"""
-    
-    def setUp(self):
-        from sas.models.Constant import Constant
-        self.const = Constant()
-        self.const.setParam('value',56.1)
-
-    def test1D(self):
-        self.assertEqual(self.const.run(1.13), 56.1)
-        
-    def test2D(self):
-        self.assertEqual(self.const.run([1.13,0.56]), 56.1)
-        self.assertEqual(self.const.runXY([1.13,0.56]), 56.1)
-        
-    def testFunction(self):
-        # version 0.5.0: No longer supported
-        return
-        from sas.models.Sin import Sin
-        s = Sin()
-        A = self.const
-        A.setParam('Value',1.5)
-        B = self.const.clone()
-        B.setParam('value',2.0)
-        C = self.const.clone()
-        C.setParam('value',3.0)
-        
-        f = A+B*s*s+C
-        answer = 1.5+2.0*math.sin(1.1)**2+3.0
-        self.assertEqual(f.run(1.1), answer)
-    
-        
-
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_models_array.py
===================================================================
--- test/sasmodels/test/utest_models_array.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,86 +1,0 @@
-"""
-    Unit tests for specific models using numpy array input
-    @author: Gervaise B Alina/ UTK
-"""
-
-import unittest, time, math, numpy
-
-        
-class TestSphere(unittest.TestCase):
-    """ Unit tests for sphere model using evalDistribution function """
-    
-    def setUp(self):
-        from sas.models.SphereModel import SphereModel
-        self.comp = SphereModel()
-        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 sphere  with vector as input"""
-        answer = numpy.array([5.63877831e-05,2.57231782e-06,2.73704050e-07,2.54229069e-08])
-       
-       
-        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 sphere  with scalar as input"""
-        self.assertAlmostEqual(self.comp.run(1.0),5.63877831e-05, 4)
-         
-    def test1D_2(self):
-        """ Test 2D model for a sphere for 2 scalar """
-        self.assertAlmostEqual(self.comp.run([1.0, 1.3]), 56.3878e-06, 4)
-        
-    def test1D_3(self):
-        """ Test 2D model for a Shpere for 2 vectors as input """
-        #x= numpy.reshape(self.x, [len(self.x),1])
-        #y= numpy.reshape(self.y, [1,len(self.y)])
-        vect = self.comp.evalDistribution([self.x,self.y])
-        self.assertAlmostEqual(vect[0],9.2985e-07, 4)
-        self.assertAlmostEqual(vect[len(self.x)-1],1.3871e-08, 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)
-        
-        
-
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_models_new1_3.py
===================================================================
--- test/sasmodels/test/utest_models_new1_3.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,86 +1,0 @@
-"""
-    Unit tests for specific models II
-"""
-
-import unittest, time, math
-     
-class TestFuzzySphere(unittest.TestCase):
-    """ Unit tests for fuzzysphere model """
-    
-    def setUp(self):
-        from sas.models.FuzzySphereModel import FuzzySphereModel
-        self.comp = FuzzySphereModel()
-        
-    def test1D(self):
-        """ Test 1D model for a fuzzysphere """
-        self.assertAlmostEqual(self.comp.run(1), 0.001, 3)
-        
-    def test1D_2(self):
-        """ Test 2D model for a fuzzysphere """
-        self.assertAlmostEqual(self.comp.run([1, 1.3]), 0.001, 3)
-        
-class TestPolyGaussCoil(unittest.TestCase):
-    """ Unit tests for PolyGaussCoil """
-    
-    def setUp(self):
-        from sas.models.Poly_GaussCoil import Poly_GaussCoil
-        self.comp = Poly_GaussCoil()
-        
-    def test1D(self):
-        """ Test 1D model for a PolyGaussCoil """
-        self.assertAlmostEqual(self.comp.run(0.107000453), 0.0688476, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a PolyGaussCoil """
-        self.assertAlmostEqual(self.comp.run([0.107000453, 0.2]), 0.0688476, 4)
-                
-class TestCoreFourShellModel(unittest.TestCase):
-    """ Unit tests for CoreFourShellModel """
-    
-    def setUp(self):
-        from sas.models.CoreFourShellModel import CoreFourShellModel
-        self.comp = CoreFourShellModel()
-        
-    def test1D(self):
-        """ Test 1D model for a CoreFourShellModel """
-        print "sldsolv",self.comp.getParam("sld_solv")
-        self.assertAlmostEqual(self.comp.run(0.001), 3318.19548, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a CoreFourShellModel """
-        self.assertAlmostEqual(self.comp.run([0.001, 0.2]), 3318.19548, 4)
-
-class TestFractal(unittest.TestCase):
-    """ Unit tests for Fractal model """
-    
-    def setUp(self):
-        from sas.models.FractalModel import FractalModel
-        self.comp = FractalModel()
-        
-    def test1D(self):
-        """ Test 1D model for a Fractal """
-        self.assertAlmostEqual(self.comp.run(0.001), 39.288146, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a Fractal """
-        self.assertAlmostEqual(self.comp.run([0.001, 1]), 39.288146, 4)
-                                
-class TestLamella(unittest.TestCase):
-    """ Unit tests for Lamella model """
-    
-    def setUp(self):
-        from sas.models.LamellarModel import LamellarModel
-        self.comp = LamellarModel()
-        
-    def test1D(self):
-        """ Test 1D model for a Lamellar """
-        self.assertAlmostEqual(self.comp.run(1.0), 5.6387e-5, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a Lamellar """
-        self.assertAlmostEqual(self.comp.run([1.0, 1.3]), 5.6387e-5, 4)
-                
-        
-
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_newstylemodels.py
===================================================================
--- test/sasmodels/test/utest_newstylemodels.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,68 +1,0 @@
-"""
-    Unit tests for dispersion functionality of 
-    C++ model classes
-"""
-print "New style models are still under development"
-import unittest, math, numpy
-
-class TestModel(object):
-    """
-        An old-style model
-    """
-    def __init__(self):
-        ## Parameter dictionary
-        self.params = {}
-        self.params['scale']       = 0.05
-        
-        ## Parameter details [units, min, max]
-        self.details = {}
-        self.details['scale']       = ['',     None, None]
-
-    def run(self, x):
-        return self.params['scale']*x
-
-from sas.models.BaseModel import BaseModel, Parameter, ParameterProperty
-class NewTestModel(BaseModel):
-    scale = ParameterProperty('scale')
-    
-    def __init__(self):  
-        BaseModel.__init__(self)  
-        self.parameters = {}
-        self.parameters['scale'] = Parameter('scale', 4.0) 
-        
-        
-    def runXY(self, x):
-        return self.scale*x
-        
-class TestBogusModel(unittest.TestCase):
-    def setUp(self):
-        self.model = NewTestModel()
-        
-    def test_call(self):
-        self.assertEqual(self.model(1), 4.0)
-        self.model.scale = 1.0
-        self.assertEqual(self.model(1), 1.0)
-        self.model.setParam('scale',2.0)
-        self.assertEqual(self.model(1), 2.0)
-        self.assertEqual(self.model.getParam('scale'), 2.0)
-        
-class TestBaseModel(unittest.TestCase):
-    """
-        Testing C++ Cylinder model
-    """
-    def setUp(self):
-        from sas.models.BaseModel import BaseModel
-        self.model = BaseModel()
-        
-        
-    def test_removed_attrs(self):
-        def setop():
-            print self.model.operateOn
-        self.assertRaises(AttributeError, setop)
-        def setother():
-            print self.model.other
-        self.assertRaises(AttributeError, setother)
-  
-if __name__ == '__main__':
-    unittest.main()
-   
Index: st/sasmodels/test/utest_nonshape.py
===================================================================
--- test/sasmodels/test/utest_nonshape.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,524 +1,0 @@
-"""
-    Unit tests for non shape based model (Task 8.2.1)
-    These tests are part of the requirements
-"""
-
-import unittest, time, math
-from scipy.special import erf,gammaln
-
-# Disable "missing docstring" complaint
-# pylint: disable-msg=C0111
-# Disable "too many methods" complaint 
-# pylint: disable-msg=R0904 
-# Disable "could be a function" complaint 
-# pylint: disable-msg=R0201
-
-import scipy 
-class TestGuinier(unittest.TestCase):
-    """
-        Unit tests for Guinier function
-        
-        F(x) = exp[ [A] + [B]*Q**2 ]
-        
-        The model has two parameters: A and B
-    """
-    def _func(self, a, b, x):
-        return a*math.exp(-(b*x)**2/3.0)
-    
-    def setUp(self):
-        from sas.models.GuinierModel import GuinierModel
-        self.model= GuinierModel()
-        
-    def test1D(self):
-        self.model.setParam('scale', 2.0)
-        self.model.setParam('rg', 1.0)
-        
-        self.assertEqual(self.model.run(0.0), 2.0)
-        self.assertEqual(self.model.run(2.0), 2.0*math.exp(-(1.0*2.0)**2/3.0))
-        self.assertEqual(self.model.runXY(2.0), 2.0*math.exp(-(1.0*2.0)**2/3.0))
-        
-    def test2D(self):
-        self.model.setParam('scale', 2.0)
-        self.model.setParam('rg', 1.0)
-        
-        #value = self._func(2.0, 1.0, 1.0)*self._func(2.0, 1.0, 2.0)
-        value = self._func(2.0, 1.0, math.sqrt(5.0))
-        #self.assertEqual(self.model.runXY([0.0,0.0]), 2.0*2.0)
-        self.assertEqual(self.model.runXY([0.0,0.0]), 2.0)
-        self.assertEqual(self.model.runXY([1.0,2.0]), value)
-        
-    def test2Dphi(self):
-        self.model.setParam('scale', 2.0)
-        self.model.setParam('rg', 1.0)
-        
-        x = 1.0
-        y = 2.0
-        r = math.sqrt(x**2 + y**2)
-        phi = math.atan2(y, x)
-        
-        #value = self._func(2.0, 1.0, x)*self._func(2.0, 1.0, y)
-        value = self._func(2.0, 1.0, r)
-        
-        #self.assertEqual(self.model.run([r, phi]), value)
-        self.assertAlmostEquals(self.model.run([r, phi]), value,1)
-        
-        
-class TestPorod(unittest.TestCase):
-    """
-        Unit tests for Porod function
-        
-        F(x) = C/Q**4 
-        
-        The model has one parameter: C
-    """
-    def _func(self, c, x):
-        return c/(x**4)
-    
-    def setUp(self):
-        from sas.models.PorodModel import PorodModel
-        self.model= PorodModel()
-        self.model.setParam('scale', 2.0)        
-        
-    def test1D(self):
-        value = self._func(2.0, 3.0)
-        self.assertEqual(self.model.run(3.0), value)
-        self.assertEqual(self.model.runXY(3.0), value)
-        
-    def test2D(self):
-        #value = self._func(2.0, 1.0)*self._func(2.0, 2.0)
-        value = self._func(2.0, math.sqrt(5.0))
-        self.assertEqual(self.model.runXY([1.0,2.0]), value)
-        
-    def test2Dphi(self):
-        x = 1.0
-        y = 2.0
-        r = math.sqrt(x**2 + y**2)
-        phi = math.atan2(y, x)
-        
-        #value = self._func(2.0, 1.0)*self._func(2.0, 2.0)
-        value = self._func(2.0, r)
-        self.assertAlmostEquals(self.model.run([r, phi]), value,1)
-        
-class TestDebye(unittest.TestCase):
-    """
-        Unit tests for Debye function
-        
-        F(x) = 2( exp(-x)+x -1 )/x**2
-        
-        The model has three parameters: 
-            Rg     =  radius of gyration
-            scale  =  scale factor
-            bkd    =  Constant background
-    """
-    def _func(self, Rg, scale, bkg, x):
-        y = (Rg * x)**2
-        return scale * (2*(math.exp(-y) + y -1)/y**2) + bkg
-    
-    def setUp(self):
-        from sas.models.DebyeModel import DebyeModel
-        self.model= DebyeModel()
-        self.model.setParam('rg', 50.0)    
-        self.model.setParam('scale',1.0) 
-        self.model.setParam('background',0.001)   
-        
-    def test1D(self):
-        value = self._func(50.0, 1.0, 0.001, 2.0)
-        self.assertEqual(self.model.run(2.0), value)
-        self.assertEqual(self.model.runXY(2.0), value)
-
-        # User enter zero as a value of x, y= 1
-        self.assertAlmostEqual(self.model.run(0.0), 1.00, 2)
-        
-    def test1D_clone(self):
-        value = self._func(50.0, 1.0, 10.0, 2.0)
-        self.model.setParam('background', 10.0)
-        clone = self.model.clone()
-        self.assertEqual(clone.run(2.0), value)
-        self.assertEqual(clone.runXY(2.0), value)
-        
-        # User enter zero as a value of x
-        # An exceptio is raised: No more exception
-        #self.assertRaises(ZeroDivisionError, clone.run, 0.0)
-        
-    def test2D(self):
-        #value = self._func(50.0, 1.0, 0.001, 1.0)*self._func(50.0, 1.0, 0.001, 2.0)
-        value = self._func(50.0, 1.0, 0.001, math.sqrt(5.0))
-        self.assertEqual(self.model.runXY([1.0,2.0]), value)
-        
-    def test2Dphi(self):
-        x = 1.0
-        y = 2.0
-        r = math.sqrt(x**2 + y**2)
-        phi = math.atan2(y, x)
-        
-        value = self._func(50.0, 1.0, 0.001, 1.0)*self._func(50.0, 1.0, 0.001, 2.0)
-        self.assertAlmostEquals(self.model.run([r, phi]), value,1)
-        
-        
-class TestLorentz(unittest.TestCase):
-    """
-        Unit tests for Lorentz function
-        
-         F(x) = scale/( 1 + (x*L)^2 ) + bkd
-        
-        The model has three parameters: 
-            L     =  screen Length
-            scale  =  scale factor
-            bkd    =  incoherent background
-    """
-    def _func(self, I0 , L, bgd, qval):
-        return I0/(1.0 + (qval*L)*(qval*L)) + bgd
-    
-    def setUp(self):
-        from sas.models.LorentzModel import LorentzModel
-        self.model= LorentzModel()
-        
-    def test1D(self):
-        self.model.setParam('scale', 100.0)
-        self.model.setParam('Length', 50.0)
-        self.model.setParam('background', 1.0)
-        
-        self.assertEqual(self.model.run(0.0), 101.0)
-        self.assertEqual(self.model.run(2.0), self._func(100.0, 50.0, 1.0, 2.0))
-        self.assertEqual(self.model.runXY(2.0), self._func(100.0, 50.0, 1.0, 2.0))
-        
-    def test2D(self):
-        self.model.setParam('scale', 100.0)
-        self.model.setParam('Length', 50.0)
-        self.model.setParam('background', 1.0)
-        
-        #value = self._func(100.0, 50.0, 1.0, 1.0)*self._func(100.0, 50.0, 1.0, 2.0)    
-        value = self._func(100.0, 50.0, 1.0, math.sqrt(5.0))  
-        self.assertEqual(self.model.runXY([1.0,2.0]), value)
-        
-    def test2Dphi(self):
-        self.model.setParam('scale', 100.0)
-        self.model.setParam('Length', 50.0)
-        self.model.setParam('background', 1.0)
-        
-        x = 1.0
-        y = 2.0
-        r = math.sqrt(x**2 + y**2)
-        phi = math.atan2(y, x)
-        
-        value = self._func(100.0, 50.0, 1.0, x)*self._func(100.0, 50.0, 1.0, y)
-        self.assertAlmostEquals(self.model.run([r, phi]), value,1)
-        
-class TestDAB(unittest.TestCase):
-    """
-        Unit tests for DAB function
-        
-         F(x) = scale/( 1 + (x*L)^2 )^(2) + bkd
-        
-        The model has three parameters: 
-            L      =  Correlation Length
-            scale  =  scale factor
-            bkd    =  incoherent background
-    """
-    def _func(self, Izero, range, incoh, qval):
-        return Izero* pow(range,3)/pow((1.0 + (qval*range)*(qval*range)),2) + incoh
-    
-    def setUp(self):
-        from sas.models.DABModel import DABModel
-        self.model= DABModel()
-        self.scale = 10.0
-        self.length = 40.0
-        self.back = 1.0
-        
-        self.model.setParam('scale', self.scale)
-        self.model.setParam('length', self.length)
-        self.model.setParam('background', self.back)
-        
-    def test1D(self):
-
-        self.assertEqual(self.model.run(2.0), self._func(self.scale, self.length, self.back, 2.0))
-        self.assertEqual(self.model.runXY(2.0), self._func(self.scale, self.length, self.back, 2.0))
-        
-    def test2D(self):
-        #value = self._func(self.scale, self.length, self.back, 1.0)*self._func(self.scale, self.length, self.back, 2.0)    
-        value = self._func(self.scale, self.length, self.back, math.sqrt(5.0))
-        self.assertEqual(self.model.runXY([1.0,2.0]), value)
-        
-    def test2Dphi(self):
-        x = 1.0
-        y = 2.0
-        r = math.sqrt(x**2 + y**2)
-        phi = math.atan2(y, x)
-        
-        value = self._func(self.scale, self.length, self.back, x)*self._func(self.scale, self.length, self.back, y)
-        self.assertAlmostEquals(self.model.run([x, y]), value,1)
-
-
-class TestPowerLaw(unittest.TestCase):
-    """
-        Unit tests for PowerLaw function
-
-        F(x) = scale* (x)^(m) + bkd
-        
-        The model has three parameters: 
-            m     =  power
-            scale  =  scale factor
-            bkd    =  incoherent background
-    """
-    def _func(self, a, m, bgd, qval):
-        return a*math.pow(qval,-m) + bgd
-    
-    
-    def setUp(self):
-        from sas.models.PowerLawModel import PowerLawModel
-        self.model= PowerLawModel()
-        
-    def test1D(self):
-        self.model.setParam('scale', math.exp(-6))
-        self.model.setParam('m', 4.0)
-        self.model.setParam('background', 1.0)
-        
-        #self.assertEqual(self.model.run(0.0), 1.0)
-        self.assertEqual(self.model.run(2.0), self._func(math.exp(-6), 4.0, 1.0, 2.0))
-        self.assertEqual(self.model.runXY(2.0), self._func(math.exp(-6), 4.0, 1.0, 2.0))
-    
-    def testlimit(self):
-        self.model.setParam('scale', math.exp(-6))
-        self.model.setParam('m', -4.0)
-        self.model.setParam('background', 1.0)
-        
-        self.assertEqual(self.model.run(0.0), 1.0)
-        
-    def test2D(self):
-        self.model.setParam('scale', math.exp(-6))
-        self.model.setParam('m', 4.0)
-        self.model.setParam('background', 1.0)
-        
-        #value = self._func(math.exp(-6), 4.0, 1.0, 1.0)\
-        #*self._func(math.exp(-6), 4.0, 1.0, 2.0)    
-        value = self._func(math.exp(-6), 4.0, 1.0, math.sqrt(5.0))
-        
-        self.assertEqual(self.model.runXY([1.0,2.0]), value)
-        
-    def test2Dphi(self):
-        self.model.setParam('scale', math.exp(-6))
-        self.model.setParam('m', 4.0)
-        self.model.setParam('background', 1.0)
-        
-        x = 1.0
-        y = 2.0
-        r = math.sqrt(x**2 + y**2)
-        phi = math.atan2(y, x)
-        
-        value = self._func(math.exp(-6), 4.0, 1.0, x)\
-        *self._func(math.exp(-6), 4.0, 1.0, y)
-        self.assertAlmostEquals(self.model.run([r, phi]), value,1)
-                
-class TestTeubnerStrey(unittest.TestCase):
-    """
-        Unit tests for PowerLaw function
-
-        F(x) = 1/( scale + c1*(x)^(2)+  c2*(x)^(4)) + bkd
-        
-        The model has Four parameters: 
-            scale  =  scale factor
-            c1     =  constant
-            c2     =  constant
-            bkd    =  incoherent background
-    """
-    def _func(self, scale, c1, c2, bck, q):
-        
-        q2 = q*q;
-        q4 = q2*q2;
-    
-        return 1.0/(scale + c1*q2+c2*q4) + bck
-    
-    def setUp(self):
-        from sas.models.TeubnerStreyModel import TeubnerStreyModel
-        self.model= TeubnerStreyModel()
-        
-    def test1D(self):
-        
-        self.model.setParam('c1', -30.0) 
-        self.model.setParam('c2', 5000.0) 
-        self.model.setParam('scale', 0.1)
-        self.model.setParam('background', 0.1)
-        #self.assertEqual(1/(math.sqrt(4)), math.pow(4,-1/2))
-        #self.assertEqual(self.model.TeubnerStreyLengths(),False )
-        
-        self.assertEqual(self.model.run(0.0), 10.1)
-        self.assertEqual(self.model.run(2.0), self._func(0.1,-30.0,5000.0,0.1,2.0))
-        self.assertEqual(self.model.runXY(2.0), self._func(0.1,-30.0,5000.0,0.1,2.0))
-        
-    def test2D(self):
-        self.model.setParam('c1', -30.0) 
-        self.model.setParam('c2', 5000.0) 
-        self.model.setParam('scale', 0.1)
-        self.model.setParam('background', 0.1)
-        #value = self._func(0.1,-30.0,5000.0,0.1, 1.0)\
-        #*self._func(0.1,-30.0,5000.0,0.1, 2.0)    
-        value = self._func(0.1,-30.0,5000.0,0.1, math.sqrt(5.0))
-        
-        self.assertEqual(self.model.runXY([1.0,2.0]), value)
-        
-    def test2Dphi(self):
-        self.model.setParam('c1', -30.0) 
-        self.model.setParam('c2', 5000.0) 
-        self.model.setParam('scale', 0.1)
-        self.model.setParam('background', 0.1)
-        
-        x = 1.0
-        y = 2.0
-        r = math.sqrt(x**2 + y**2)
-        phi = math.atan2(y, x)
-        
-        #value = self._func(0.1,-30.0,5000.0,0.1, x)\
-        #*self._func(0.1,-30.0,5000.0,0.1, y)
-        value = self._func(0.1,-30.0,5000.0,0.1, r)
-        self.assertAlmostEquals(self.model.run([r, phi]), value,1)
-        
-class TestBEPolyelectrolyte(unittest.TestCase):
-    """
-        Unit tests for  BEPolyelectrolyte function
-        
-        F(x) = K*1/(4*pi()*Lb*(alpha)^(2)*(q^(2)+k2)/(1+(r02)^(2))*(q^(2)+k2)\
-                       *(q^(2)-(12*h*C/b^(2)))
-        
-        The model has Eight parameters: 
-            K        =  Constrast factor of the polymer
-            Lb       =  Bjerrum length
-            H        =  virial parameter
-            B        =  monomer length
-            Cs       =  Concentration of monovalent salt 
-            alpha    =  ionazation degree 
-            C        = polymer molar concentration
-            bkd      = background
-    """
-    def _func(self, K, Lb, H, B, Cs, alpha, C, bkd, r02, k2,  x):
-        return (K /( (4*math.pi *Lb*(alpha**2)*(x**2 +k2)) *( (1 +(r02**2))  \
-                    *((x**2) + k2)*((x**2) -(12 * H * C/(B**2))) )))+ bkd
-    
-    def setUp(self):
-        from sas.models.BEPolyelectrolyte import BEPolyelectrolyte
-        self.model= BEPolyelectrolyte()
-        
-        self.K = 10.0
-        self.Lb = 6.5
-        self.h = 11
-        self.b = 13
-        self.Cs = 0.1
-        self.alpha = 0.05
-        self.C  = .7
-        self.Bkd =0.01
-       
-        self.model.setParam('K', self.K) 
-        self.model.setParam('Lb', self.Lb) 
-        self.model.setParam('H', self.h)
-        self.model.setParam('B', self.b)
-        self.model.setParam('Cs',self.Cs) 
-        self.model.setParam('alpha', self.alpha) 
-        self.model.setParam('C', self.C)
-        self.model.setParam('background', self.Bkd)
-        
-    def _func(self, q):
-        
-        Ca = self.C *6.022136e-4          
-        Csa = self.Cs * 6.022136e-4        
-        k2= 4*math.pi*self.Lb*(2*self.Cs+self.alpha*Ca)   
-
-        r02 = 1./self.alpha / Ca**0.5*( self.b / (48*math.pi*self.Lb)**0.5 )
-        q2 = q**2    
-        Sq = self.K*1./(4*math.pi*self.Lb*self.alpha**2) * (q2 + k2)  /  (1+(r02**2) * (q2+k2) * (q2- (12*self.h*Ca/self.b**2)) ) + self.Bkd
-        return Sq
-       
-    def test1D(self):
-        
-       
-        q = 0.001
-   
-        self.assertEqual(self.model.run(q), self._func(q))
-        self.assertEqual(self.model.runXY(q), self._func(q))
-         
-    def test2D(self):
-        #self.assertAlmostEquals(self.model.runXY([1.0,2.0]), self._func(1.0)*self._func(2.0), 8)
-        self.assertAlmostEquals(self.model.runXY([1.0,2.0]), self._func(math.sqrt(1.0+2.0**2)), 8)
-        
-    def test2Dphi(self):
-
-        x = 1.0
-        y = 2.0
-        r = math.sqrt(x**2 + y**2)
-        phi = math.atan2(y, x)
-        
-        self.assertAlmostEquals(self.model.run([r, phi]), self._func(r), 8)
-        
-class TestFractalModel(unittest.TestCase):
-    """
-        Unit tests for  Number Density Fractal function   
-        F(x)= P(x)*S(x) + bkd
-        The model has Seven parameters: 
-            scale   =  Volume fraction
-            Radius  =  Block radius
-            Fdim    =  Fractal dimension
-            L       =  correlation Length
-            SDLB    =  SDL block
-            SDLS    =  SDL solvent
-            bkd     =  background
-    """
-    def setUp(self):
-        from sas.models.FractalModel import FractalModel
-        self.model= FractalModel()
-        self.r0 = 5.0
-        self.sldp = 2.0e-6
-        self.sldm = 6.35e-6
-        self.phi = 0.05
-        self.Df = 2
-        self.corr = 100.0
-        self.bck = 1.0
-        
-        self.model.setParam('scale', self.phi) 
-        self.model.setParam('radius', self.r0) 
-        self.model.setParam('fractal_dim',self.Df)
-        self.model.setParam('cor_length', self.corr)
-        self.model.setParam('sldBlock', self.sldp) 
-        self.model.setParam('sldSolv', self.sldm) 
-        self.model.setParam('background', self.bck)
-        
-    def _func(self, x):
-        r0 = self.r0
-        sldp = self.sldp
-        sldm = self.sldm
-        phi = self.phi
-        Df = self.Df
-        corr = self.corr
-        bck = self.bck
-        
-        pq = 1.0e8*phi*4.0/3.0*math.pi*r0*r0*r0*(sldp-sldm)*(sldp-sldm)*math.pow((3*(math.sin(x*r0) - x*r0*math.cos(x*r0))/math.pow((x*r0),3)),2);
-        
-        sq = Df*math.exp(gammaln(Df-1.0))*math.sin((Df-1.0)*math.atan(x*corr));
-        sq /= math.pow((x*r0),Df) * math.pow((1.0 + 1.0/(x*corr)/(x*corr)),((Df-1.0)/2.0));
-        sq += 1.0;
-        
-        #self.assertAlmostEqual(self.model._scatterRanDom(x), pq, 8 )
-        #self.assertEqual(self.model._Block(x),sq )
-        
-        return sq*pq+bck
-    
-    def test1D(self):        
-        x = 0.001
-        
-        iq = self._func(x)
-        self.assertEqual(self.model.run(x), iq)
-        self.assertEqual(self.model.runXY(x), iq)
-    
-    def test2D(self):
-        x = 1.0
-        y = 2.0
-        r = math.sqrt(x**2 + y**2)
-        phi = math.atan2(y, x)
-        iq_x = self._func(x)
-        iq_y = self._func(y)
-        
-        #self.assertEqual(self.model.run([r, phi]), iq_x*iq_y)
-        self.assertEqual(self.model.run([r, phi]), self.model.run(r))
-        #self.assertEqual(self.model.runXY([x,y]), iq_x*iq_y)
-        self.assertEqual(self.model.runXY([x,y]), self.model.run(r))
-        
-if __name__ == '__main__':
-    unittest.main()
-
Index: st/sasmodels/test/utest_other_dispersity.py
===================================================================
--- test/sasmodels/test/utest_other_dispersity.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,139 +1,0 @@
-"""
-    Unit tests for dispersion functionality of 
-    C++ model classes
-"""
-
-import unittest, math, numpy
-
-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'] = 5.0/20.0
-        self.model.dispersion['radius']['npts'] = 100
-        self.model.dispersion['radius']['nsigmas'] = 2.0
-        print "constant",self.model.run(0.001), self.model.dispersion
-        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'] = 5.0/20.0
-        self.model.dispersion['radius']['npts'] = 100
-        self.model.dispersion['radius']['nsigmas'] = 2.0
-        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'] = 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)
-        
-    def test_schulz_zero(self):
-        from sas.models.dispersion_models import SchulzDispersion
-        disp = SchulzDispersion()
-        self.model.set_dispersion('radius', disp)
-        self.model.dispersion['radius']['width'] = 5.0/20.0
-        #self.model.dispersion['radius']['width'] = 0.0
-        self.model.dispersion['radius']['npts'] = 100
-        self.model.dispersion['radius']['nsigmas'] = 2.0
-        self.model.setParam('scale', 1.0)
-        #self.model.setParam('scale', 10.0)
-        print "schulz",self.model.run(0.001), self.model.dispersion
-        self.assertAlmostEqual(self.model.run(0.001), 542.23568, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 544.54864, 3)
-        
-    def test_lognormal_zero(self):
-        from sas.models.dispersion_models import LogNormalDispersion
-        disp = LogNormalDispersion()
-        self.model.set_dispersion('radius', disp)
-        self.model.dispersion['radius']['width'] = 5.0/20.0
-        #self.model.dispersion['radius']['width'] = 0.0
-        self.model.dispersion['radius']['npts'] = 100
-        self.model.dispersion['radius']['nsigmas'] = 2.0
-        self.model.setParam('scale', 1.0)
-        #self.model.setParam('scale', 10.0)
-        print "model dispersion",self.model.dispersion
-        print "lognormal",self.model.run(0.001)
-        self.assertAlmostEqual(self.model.run(0.001), 554.41257, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 556.77560, 3)
-        
-    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'] = 2.0
-        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)
-        
-
-if __name__ == '__main__':
-    unittest.main()
-   
Index: st/sasmodels/test/utest_other_models.py
===================================================================
--- test/sasmodels/test/utest_other_models.py	(revision ac1670a23801365cca9d342e696d00c37ad523da)
+++ 	(revision )
@@ -1,1738 +1,0 @@
-"""
-    Unit tests for specific models.
-    @since: 08/25/2009 
-    @note:  The models are running also with numpy array as input.
-            Some models return limit of the function at critical point .
-            So the user should expect finite value for some critical points.
-            Only critical q=0 will be tested. 
-            
-            Critical points tests that fail. the user is responsible of changing
-            the model tested or document the failure.
-            
-            Initial values for models are given as the one of Igo software.
-    @author: Gervaise Alina / UTK
-    @summary: Run by G. Alina 10/21/2009
-            Most of the lamellar tests are not passing. Check lamellar im
-            plementation.
-            critial points tested not passing for:
-            - Flexible Cylinder
-            - PeakLorenzt
-            - Squarewell Structure
-            - StickyHstructure
-            - hardSphereStructure
-            
-    @ Note: We don't use matrix for 2D anymore so testEval2D can be ignored (JC)     
-            
-"""
-
-import unittest
-import numpy 
-import math
-
-class TestCoreShell(unittest.TestCase):
-    """ Unit tests for coreshell model """
-    
-    def setUp(self):
-        from sas.models.CoreShellModel import CoreShellModel
-        self.comp = CoreShellModel()
-        #Give initial value to model
-        self.comp.setParam("scale", 1.0)
-        self.comp.setParam("radius", 60.0)
-        self.comp.setParam("thickness", 10.0)
-        self.comp.setParam("core_sld", 1.0e-6)
-        self.comp.setParam("shell_sld",2.0e-6)
-        self.comp.setParam("solvent_sld",3.0e-6)
-        self.comp.setParam("Background", 0.001)
-   
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a coreshell """
-        self.assertAlmostEquals(self.comp.run(0.4),0.00169, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a coreshell """
-        self.assertAlmostEquals(self.comp.run([0.4, 1.3]),0.00169, 4)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a coreshell  with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a coreshell  with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    # No more singular point    
-    #def testCriticalPoint(self):
-    #    """ Test coreshell at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))
-  
-class TestMultiShellModel(unittest.TestCase):
-    """ Unit tests for MultiShell Model """
-    
-    def setUp(self):
-        from sas.models.MultiShellModel import MultiShellModel
-        self.comp = MultiShellModel()
-        #Give initial value to model
-        self.comp.setParam("scale", 1.0)
-        self.comp.setParam("core_radius", 60.0)
-        self.comp.setParam("s_thickness", 10.0)
-        self.comp.setParam("w_thickness",10.0 )
-        self.comp.setParam("core_sld",6.4e-6)
-        self.comp.setParam("shell_sld",4e-7)
-        self.comp.setParam("n_pairs", 2)
-        self.comp.setParam("Background", 0.001)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a MultiShell Model """
-        self.assertAlmostEquals(self.comp.run(0.001), 2442.81, 2)
-        
-    def test1D_2(self):
-        """ Test 2D model for a MultiShell Model"""
-        self.assertAlmostEquals(self.comp.run([0.001, 0.30903]), 2442.81, 2)
-      
-    def testEval_1D(self):
-        """ Test 1D model for a MultiShell  with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a MultiShell  with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    # No more singular point
-    #def testCriticalPoint(self):
-    #    """ Test multishell at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))
-    
-class TestVesicleModel(unittest.TestCase):
-    """ Unit tests for Vesicle Model """
-    
-    def setUp(self):
-        from sas.models.VesicleModel import VesicleModel
-        self.comp = VesicleModel()
-        #Give initial value to model
-        self.comp.setParam("scale", 1.0)
-        self.comp.setParam("radius", 100.0)
-        self.comp.setParam("solv_sld", 6.36e-6)
-        self.comp.setParam("shell_sld",5e-7)
-        self.comp.setParam("thickness",30.0 )
-        self.comp.setParam("Background", 0.001)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        #qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        #qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a Vesicle Model """
-        self.assertAlmostEquals(self.comp.run(0.001), 1.71399e4,1)
-        
-    def test1D_2(self):
-        """ Test 2D model for a Vesicle Model"""
-        self.assertAlmostEquals(self.comp.run([0.001, 1.3]), 1.71399e4,1)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a Vesicle with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a Vesicle with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test vesicle at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0))) 
-        
-        
-class TestBinaryHSModel(unittest.TestCase):
-    """ Unit tests for BinaryHS Model"""
-    
-    def setUp(self):
-        from sas.models.BinaryHSModel import BinaryHSModel
-        self.comp = BinaryHSModel()
-        #Give initial value to model
-        self.comp.setParam("l_radius", 100.0)
-        self.comp.setParam("ls_sld", 3.5e-6)
-        self.comp.setParam("s_radius",25)
-        self.comp.setParam("solvent_sld",6.36e-6 )
-        self.comp.setParam("ss_sld", 5e-7)
-        self.comp.setParam("vol_frac_ss", 0.1)
-        self.comp.setParam("vol_frac_ls", 0.2)
-        self.comp.setParam("Background", 0.001)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        #qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        #qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a BinaryHS Model"""
-        self.assertAlmostEquals(self.comp.run(0.001),60.6785, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a BinaryHS Model"""
-        self.assertAlmostEquals(self.comp.run([0.001, 1.3]),60.6785, 4)
-      
-    def testEval_1D(self):
-        """ Test 1D model for a BinaryHS with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a BinaryHS with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    # No more singular point    
-    #def testCriticalPoint(self):
-    #    """ Test BinaryHS at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))
-       
-     
-class TestCoreShellCylinderModel(unittest.TestCase):
-    """ Unit tests for CoreShellCylinder Model"""
-    
-    def setUp(self):
-        from sas.models.CoreShellCylinderModel import CoreShellCylinderModel
-        self.comp = CoreShellCylinderModel()
-        #Give initial value to model
-        self.comp.setParam("scale", 1.0)
-        self.comp.setParam("core_sld", 1e-6)
-        self.comp.setParam("length", 400)
-        self.comp.setParam("radius",20)
-        self.comp.setParam("solvent_sld",1e-6 )
-        self.comp.setParam("shell_sld", 4e-6)
-        self.comp.setParam("thickness", 10.0)
-        self.comp.setParam("Background", 0.01)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-    def test1D(self):
-        """ Test 1D model for a CoreShellCylinder Model"""
-        self.assertAlmostEqual(self.comp.run(0.001), 353.56,1)
-        
-    def test1D_2(self):
-        """ Test 2D model for a CoreShellCylinder Model"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a CoreShellCylinder with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a CoreShellCylinder with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    # No more singular point
-    #def testCriticalPoint(self):
-    #    """ Test CoreShellCylinder at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))
- 
-     
-class TestCoreShellBicelleModel(unittest.TestCase):
-    """ Unit tests for CoreShellBicelle Model"""
-    
-    def setUp(self):
-        from sas.models.CoreShellCylinderModel import CoreShellCylinderModel
-        from sas.models.CoreShellBicelleModel import CoreShellBicelleModel
-        self.comp1 = CoreShellCylinderModel()
-        self.comp2 = CoreShellBicelleModel()
-        # Using the default values of CSBiselle is same as CSCylinder
-        
-    def testcompare1D(self):
-        """ Test 1D model for a CoreShellBicelle Model"""
-        self.assertAlmostEqual(self.comp1.run(0.01), self.comp2.run(0.01), 8)
-        
-    def testcompareEval_2D(self):
-        """ Test 2D model for a CoreShellBicelle with evalDistribution"""
-        self.assertAlmostEquals(self.comp1.runXY([0.4, 0.5]),self.comp2.runXY([0.4, 0.5]),8)
-        self.assertAlmostEquals(self.comp1.runXY([1.3,1.57]),self.comp2.runXY([1.3,1.57]),8)
-        
-                      
-class TestHollowCylinderModel(unittest.TestCase):
-    """ Unit tests for HollowCylinder Model"""
-    
-    def setUp(self):
-        from sas.models.HollowCylinderModel import HollowCylinderModel
-        self.comp = HollowCylinderModel()
-        #Give initial value to model
-        self.comp.setParam("scale", 1.0)
-        self.comp.setParam("core_radius",20.0)
-        self.comp.setParam("radius",30)
-        self.comp.setParam("length", 400)
-        self.comp.setParam("sldCyl",6.3e-6 )
-        self.comp.setParam("sldSolv",1e-6 )
-        self.comp.setParam("Background", 0.01)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-    def test1D(self):
-        """ Test 1D model for a HollowCylinder Model"""
-        self.assertAlmostEqual(self.comp.run(0.001), 1756.76, 1)
-        
-    def test1D_2(self):
-        """ Test 2D model for a HollowCylinder Model"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1) 
-  
-    def testEval_1D(self):
-        """ Test 1D model for a HollowCylinder with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a HollowCylinder with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1],8)
-
-    # No more singular point    
-    #def testCriticalPoint(self):
-    #    """ Test HollowCylinder at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))
-        
-        
-class TestFlexibleCylinderModel(unittest.TestCase):
-    """ Unit tests for FlexibleCylinder Model"""
-    
-    def setUp(self):
-        from sas.models.FlexibleCylinderModel import FlexibleCylinderModel
-        self.comp = FlexibleCylinderModel()
-        #Give initial value to model
-        self.comp.setParam("scale", 1.0)
-        self.comp.setParam("sldSolv",6.3e-6 )
-        self.comp.setParam("sldCyl",1e-6 )
-        self.comp.setParam("kuhn_length",100)
-        self.comp.setParam("length", 1000)
-        self.comp.setParam("radius",20)
-        self.comp.setParam("Background", 0.0001)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-    def test1D(self):
-        """ Test 1D model for a FlexibleCylinder Model"""
-        self.assertAlmostEqual(self.comp.run(0.001), 3509.22, 1)
-        
-    def test1D_2(self):
-        """ Test 2D model for a FlexibleCylinder Model"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1) 
-    def testEval_1D(self):
-        """ Test 1D model for a FlexibleCylinder Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a FlexibleCylinder Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    # No more singular point
-    #def testCriticalPoint(self):
-    #    """ Test FlexibleCylinder at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))
-  
-class TestFlexCylEllipXModel(unittest.TestCase):
-    """ Unit tests for FlexCylEllipXModel"""
-    
-    def setUp(self):
-        from sas.models.FlexCylEllipXModel import FlexCylEllipXModel
-        self.comp = FlexCylEllipXModel()
-        #Give initial value to model
-        self.comp.setParam("scale", 1.0)
-        self.comp.setParam("sldSolv",6.3e-6 )
-        self.comp.setParam("sldCyl",1e-6 )
-        self.comp.setParam("kuhn_length",100)
-        self.comp.setParam("length", 1000)
-        self.comp.setParam("radius",20)
-        self.comp.setParam("background", 0.0001)
-        self.comp.setParam("axis_ratio", 1.0)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-    def test1D(self):
-        """ Test 1D model for FlexCylEllipXModel"""
-        self.assertAlmostEqual(self.comp.run(0.001), 3509.22, 1)
-        
-    def test1D_2(self):
-        """ Test 2D model for FlexCylEllipXModel"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1) 
-    def testEval_1D(self):
-        """ Test 1D model for FlexCylEllipXModel with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for FlexCylEllipXModel with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-              
-              
-class TestStackedDisksModel(unittest.TestCase):
-    """ Unit tests for StackedDisks Model"""
-    
-    def setUp(self):
-        from sas.models.StackedDisksModel import StackedDisksModel
-        self.comp = StackedDisksModel()
-        #Give initial value to model
-        self.comp.setParam("scale", 0.01 )
-        self.comp.setParam("radius",3000.0 )
-        self.comp.setParam("core_thick", 10.0)
-        self.comp.setParam("layer_thick",15.0 )
-        self.comp.setParam("core_sld",4e-006 )
-        self.comp.setParam("layer_sld",-4e-007 )
-        self.comp.setParam("solvent_sld", 5e-006 )
-        self.comp.setParam("n_stacking",1.0 )
-        self.comp.setParam("sigma_d", 0.0)
-        self.comp.setParam("background",0.001)
-        self.comp.setParam("axis_theta", 0.0 )
-        self.comp.setParam("axis_phi",0.0)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-    def test1D(self):
-        """ Test 1D model for a StackedDisks Model"""
-        self.assertAlmostEqual(self.comp.run(0.001), 5075.12, 1)
-        
-    def test1D_2(self):
-        """ Test 2D model for a StackedDisks Model"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a StackedDisks Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a StackedDisks Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    # No more singular point
-    #def testCriticalPoint(self):
-    #    """ Test StackedDisks at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0))) 
-   
-  
-class TestParallelepipedModel(unittest.TestCase):
-    """ Unit tests for Parallelepiped Model"""
-    
-    def setUp(self):
-        from sas.models.ParallelepipedModel import ParallelepipedModel
-        self.comp = ParallelepipedModel()
-        #Give initial value to model
-        self.comp.setParam("background", 0.0 )
-        self.comp.setParam("short_a",35)
-        self.comp.setParam("short_b", 75)
-        self.comp.setParam("long_c",400 )
-        self.comp.setParam("sldPipe", 6.3e-006 )
-        self.comp.setParam("sldSolv", 1e-006 )
-        self.comp.setParam("scale",1.0 )
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-    
-    def test1D(self):
-        """ Test 1D model for a Parallelepiped Model"""
-        self.assertAlmostEqual(self.comp.run(0.001), 2935.82, 2)
-        
-    def test1D_2(self):
-        """ Test 2D model for a Parallelepiped Model"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a Parallelepiped Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a Parallelepiped Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-   
-    def testCriticalPoint(self):
-        """ Test Parallelepiped at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))
-  
-class TestEllipticalCylinderModel(unittest.TestCase):
-    """ Unit tests for EllipticalCylinder Model"""
-    
-    def setUp(self):
-        from sas.models.EllipticalCylinderModel import EllipticalCylinderModel
-        self.comp = EllipticalCylinderModel()
-        self.comp.setParam("scale",1.0) 
-        self.comp.setParam("r_minor",20.0)
-        self.comp.setParam("r_ratio",1.5) 
-        self.comp.setParam("length",400.0)
-        self.comp.setParam("sldCyl",4e-006)
-        self.comp.setParam("sldSolv",1e-006)
-        self.comp.setParam("background",0.0)
-        self.comp.setParam("cyl_theta",0.0)
-        self.comp.setParam("cyl_phi",0.0)
-        self.comp.setParam("cyl_psi",0.0)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-    def test1D(self):
-        """ Test 1D model for a EllipticalCylinder Model"""
-        self.assertAlmostEqual(self.comp.run(0.001), 675.504402, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a EllipticalCylinder Model"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a EllipticalCylinder with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a EllipticalCylinder with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test EllipticalCylinder at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0))) 
-  
-        
-class TestEllipsoidModel(unittest.TestCase):
-    """ Unit tests for Ellipsoid Model"""
-    
-    def setUp(self):
-        from sas.models.EllipsoidModel import EllipsoidModel
-        self.comp = EllipsoidModel()
-        self.comp.setParam("scale",1.0) 
-        self.comp.setParam("radius_a",20.0)
-        self.comp.setParam("radius_b",400.0)
-        self.comp.setParam("sldEll",4e-006)
-        self.comp.setParam("sldSolv",1e-006)
-        self.comp.setParam("background",0.0)
-        self.comp.setParam("axis_theta",1.57)
-        self.comp.setParam("axis_phi",0.0)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-    def test1D(self):
-        """ Test 1D model for a Ellipsoid Model"""
-        self.assertAlmostEqual(self.comp.run(1.0), 0.000733968, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a Ellipsoid Model"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1)
-    def testEval_1D(self):
-        """ Test 1D model for a Ellipsoid Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a Ellipsoid Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test Ellipsoid at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))
-        
-class TestCoreShellEllipsoidModel(unittest.TestCase):
-    """ Unit tests for CoreShellEllipsoid Model"""
-    
-    def setUp(self):
-        from sas.models.CoreShellEllipsoidModel import CoreShellEllipsoidModel
-        self.comp = CoreShellEllipsoidModel()
-        #Give initial value to model
-        self.comp.setParam("scale", 1.0)
-        self.comp.setParam("equat_core", 200.0)
-        self.comp.setParam("polar_core", 20.0)
-        self.comp.setParam("equat_shell",250.0)
-        self.comp.setParam("polar_shell", 30.0)
-        self.comp.setParam("sld_shell",1e-006)
-        self.comp.setParam("sld_core",2e-006)
-        self.comp.setParam("sld_solvent",6.3e-006)
-        self.comp.setParam("background",0.001)
-        self.comp.setParam("axis_theta", 0.0)
-        self.comp.setParam("axis_phi",0.0)
-         
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-    def test1D(self):
-        """ Test 1D model for a CoreShellEllipsoid Model"""
-        self.assertAlmostEqual(self.comp.run(1.0), 0.001894, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a CoreShellEllipsoid Model"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a CoreShellEllipsoid with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a CoreShellEllipsoid with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test CoreShellEllipsoid at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))
-    
-class TestTriaxialEllipsoidModel(unittest.TestCase):
-    """ Unit tests for TriaxialEllipsoid Model"""
-    
-    def setUp(self):
-        from sas.models.TriaxialEllipsoidModel import TriaxialEllipsoidModel
-        self.comp = TriaxialEllipsoidModel()
-        self.comp.setParam("scale",1.0)
-        self.comp.setParam("semi_axisA",35.0)
-        self.comp.setParam("semi_axisB", 100.0)
-        self.comp.setParam("semi_axisC",400.0 )
-        self.comp.setParam("sldSolv",6.3e-6)
-        self.comp.setParam("sldEll",1e-6)
-        self.comp.setParam("background",0.0)
-        self.comp.setParam("axis_theta", 1.0)
-        self.comp.setParam("axis_phi",0.0 )
-        self.comp.setParam("axis_psi",0.0 )
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        self.q = 0.001
-        self.phi= math.pi/2
-        self.qx= self.q*math.cos(self.phi)
-        self.qy= self.q*math.sin(self.phi)
-        
-        
-    def test1D(self):
-        """ Test 1D model for a TriaxialEllipsoid Model"""
-        self.assertAlmostEquals(self.comp.run(0.001),16285.6, 1)
-        
-    def test1D_2(self):
-        """ Test 2D model for a TriaxialEllipsoid Model"""
-        self.assertAlmostEqual(self.comp.run([self.q, self.phi]), 
-                              self.comp.runXY([self.qx, self.qy]),1)
-     
-    def testEval_1D(self):
-        """ Test 1D model for a TriaxialEllipsoid Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a TriaxialEllipsoid Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test TriaxialEllipsoid at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))            
-   
-class TestLamellarModel(unittest.TestCase):
-    """ Unit tests for Lamellar Model"""
-    
-    def setUp(self):
-        from sas.models.LamellarModel import LamellarModel
-        self.comp = LamellarModel()
-        self.comp.setParam("scale",1.0) 
-        self.comp.setParam("bi_thick",50.0)
-        self.comp.setParam("sld_bi",1e-006)
-        self.comp.setParam("sld_sol",6.3e-006)
-        self.comp.setParam("background",0.0)
-
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a Lamellar Model"""
-        self.assertAlmostEquals(self.comp.run(0.001), 882289.54309, 3)
-        
-    def test1D_2(self):
-        """ Test 2D model for a Lamellar Model"""
-        self.assertAlmostEquals(self.comp.run([0.001, 1.3]),882289.54309, 3)     
-    
-    def testEval_1D(self):
-        """ Test 1D model for a Lamellar Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a Lamellar Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-       
-    # No more singular point
-    #def testCriticalPoint(self):
-    #    """ Test Lamellar at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))
-     
-class TestLamellarFFHGModel(unittest.TestCase):
-    """ Unit tests for LamellarFFHG Model"""
-    
-    def setUp(self):
-        from sas.models.LamellarFFHGModel import LamellarFFHGModel
-        self.comp = LamellarFFHGModel()
-        self.comp.setParam("scale",1.0) 
-        self.comp.setParam("t_length",15.0)
-        self.comp.setParam("h_thickness",10.0)
-        self.comp.setParam("sld_tail",4e-007)
-        self.comp.setParam("sld_head",3e-006)
-        self.comp.setParam("sld_solvent",6e-006)
-        self.comp.setParam("background",0.0)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        
-    def test1D(self):
-        """ Test 1D model for a LamellarFFHG Model"""
-        self.assertAlmostEquals(self.comp.run(0.001),653143.9209, 3)
-        
-    def test1D_2(self):
-        """ Test 2D model for a LamellarFFHG Model"""
-        self.assertAlmostEquals(self.comp.run([0.001, 1.3]),653143.9209, 3)
-    
-    def testEval_1D(self):
-        """ Test 1D model for a LamellarFFHG Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a LamellarFFHG Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-      
-    # No more singular point
-    #def testCriticalPoint(self):
-    #    """ Test LamellarFFHG at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))              
-    
-class TestLamellarPSModel(unittest.TestCase):
-    """ Unit tests for LamellarPS Model"""
-    
-    def setUp(self):
-        from sas.models.LamellarPSModel import LamellarPSModel
-        self.comp = LamellarPSModel()
-        self.comp.setParam("scale",1.0) 
-        self.comp.setParam("spacing",400.0)
-        self.comp.setParam("delta",30.0)
-        self.comp.setParam("sld_bi",6.3e-006)
-        self.comp.setParam("sld_sol",1e-006)
-        self.comp.setParam("n_plates",20.0) 
-        self.comp.setParam("caille", 0.1)
-        self.comp.setParam("background",0.0)
-
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        
-    def test1D(self):
-        """ Test 1D model for a LamellarPS Model"""
-        self.assertAlmostEquals(self.comp.run(0.001), 28895.13397, 1)
-        
-    def test1D_2(self):
-        """ Test 2D model for a LamellarPS Model"""
-        self.assertAlmostEquals(self.comp.run([0.001, 1.3]),28895.13397, 1) 
-    
-    def testEval_1D(self):
-        """ Test 1D model for a LamellarPS Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a LamellarPS Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-      
-    # No more singular point        
-    #def testCriticalPoint(self):
-    #    """ Test LamellarPS at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))
-     
-class TestLamellarPSHGModel(unittest.TestCase):
-    """ Unit tests for LamellarPSHG Model"""
-    
-    def setUp(self):
-        from sas.models.LamellarPSHGModel import LamellarPSHGModel
-        self.comp = LamellarPSHGModel()
-        self.comp.setParam("scale",1.0)
-        self.comp.setParam("spacing",40.0)
-        self.comp.setParam("deltaT",10.0)
-        self.comp.setParam("deltaH",2.0)
-        self.comp.setParam("sld_tail",4e-7)
-        self.comp.setParam("sld_head",2e-6)
-        self.comp.setParam("sld_solvent",6e-6)
-        self.comp.setParam("n_plates",30)
-        self.comp.setParam("caille",0.001)
-        self.comp.setParam("background",0.001)
-
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a LamellarPSHG Model"""
-        self.assertAlmostEquals(self.comp.run(0.001),6838238.571488, 3)
-        
-    def test1D_2(self):
-        """ Test 2D model for a LamellarPSHG Model"""
-        self.assertAlmostEquals(self.comp.run([0.001, 1.3]),6838238.571488,3)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a LamellarPSHG Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a LamellarPSHG Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-       
-    # No more singular point
-    #def testCriticalPoint(self):
-    #    """ Test LamellarPSHG at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))
-     
-class TestSquareWellStructure(unittest.TestCase):
-    """ Unit tests for SquareWellStructure """
-    
-    def setUp(self):
-        from sas.models.SquareWellStructure import SquareWellStructure
-        self.comp = SquareWellStructure()
-        self.comp.setParam("effect_radius",50.0)
-        self.comp.setParam("volfraction",0.04)
-        self.comp.setParam("welldepth",1.5 )
-        self.comp.setParam("wellwidth",1.2)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        
-    def test1D(self):
-        """ Test 1D model for a SquareWellStructure"""
-        self.assertAlmostEqual(self.comp.run(0.001), 0.976657, 2)
-        
-    def test1D_2(self):
-        """ Test 2D model for a SquareWellStructure"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]),0.9776657,2)     
-    
-    def testEval_1D(self):
-        """ Test 1D model for a SquareWellStructure with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a SquareWellStructure with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    # No more singular point
-    #def testCriticalPoint(self):
-    #    """ Test SquareWellStructure at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))                     
-     
-class TestHardsphereStructure(unittest.TestCase):
-    """ Unit tests for HardsphereStructure"""
-    
-    def setUp(self):
-        from sas.models.HardsphereStructure import HardsphereStructure
-        self.comp = HardsphereStructure()
-        self.comp.setParam("effect_radius",50.0)
-        self.comp.setParam("volfraction", 0.2)
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-        
-    def test1D(self):
-        """ Test 1D model for a HardsphereStructure"""
-        self.assertAlmostEqual(self.comp.run(0.001),0.209128, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a HardsphereStructure"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]),0.209128, 4)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a HardsphereStructure with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a HardsphereStructure with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    # No more singular point
-    #def testCriticalPoint(self):
-    #    """ Test HardsphereStructure at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))                  
-    
-class TestStickyHSStructure(unittest.TestCase):
-    """ Unit tests for StickyHSStructure"""
-    
-    def setUp(self):
-        from sas.models.StickyHSStructure import StickyHSStructure
-        self.comp = StickyHSStructure()
-        self.comp.setParam("effect_radius",50.0)
-        self.comp.setParam("volfraction",0.1)
-        self.comp.setParam("perturb",0.05)
-        self.comp.setParam("stickiness",0.2)
-
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a StickyHSStructure"""
-        self.assertAlmostEqual(self.comp.run(0.001),1.09718, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a StickyHSStructure"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]),1.09718, 4)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a StickyHSStructure with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a StickyHSStructure with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    # No more singular point           
-    #def testCriticalPoint(self):
-    #    """ Test StickyHSStructure at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0))) 
-        
-class TestHayterMSAStructure(unittest.TestCase):
-    """ Unit tests for HayterMSAStructure"""
-    
-    def setUp(self):
-        from sas.models.HayterMSAStructure import HayterMSAStructure
-        self.comp = HayterMSAStructure()
-        self.comp.setParam("effect_radius",20.75)
-        self.comp.setParam("charge",19.0)
-        self.comp.setParam("volfraction",0.0192 )
-        self.comp.setParam("temperature",298)
-        self.comp.setParam("saltconc",0.0)
-        self.comp.setParam("dielectconst",78)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-
-    def test1D(self):
-        """ Test 1D model for a HayterMSAStructure"""
-        self.assertAlmostEqual(self.comp.run(0.001),0.0712928, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a HayterMSAStructure"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]),0.0712928, 4) 
-        
-    def testEval_1D(self):
-        """ Test 1D model for a HayterMSAStructure with evalDistribution"""
-        self.assertTrue(math.fabs(self.comp.run(0.4)-self.x_array[0])<0.025, "Difference too big: %g" % math.fabs(self.comp.run(0.4)-self.x_array[0]))
-        self.assertTrue(math.fabs(self.comp.run(1.3)-self.x_array[1])<0.025, "Difference too big: %g" % math.fabs(self.comp.run(1.3)-self.x_array[1]))
-        
-    def testEval_2D(self):
-        """ Test 2D model for a HayterMSAStructure with evalDistribution"""
-        self.assertTrue(math.fabs(self.comp.runXY([0.4, 0.5])-self.xy_matrix[0])<0.05, "Difference too big: %g" % math.fabs(self.comp.runXY([0.4, 0.5])-self.xy_matrix[0]))
-        self.assertTrue(math.fabs(self.comp.runXY([1.3,1.57])-self.xy_matrix[1])<0.05, "Difference too big: %g" % math.fabs(self.comp.runXY([1.3,1.57])-self.xy_matrix[1]))
-
-    
-    def testCriticalPoint(self):
-        """ Test HayterMSAStructure at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))                   
-     
-     
-class TestBEPolyelectrolyte(unittest.TestCase):
-    """ Unit tests for BEPolyelectrolyte"""
-    
-    def setUp(self):
-        from sas.models.BEPolyelectrolyte import BEPolyelectrolyte
-        self.comp = BEPolyelectrolyte()
-       
-        self.comp.setParam('k',10)
-        self.comp.setParam('lb',7.1)
-        self.comp.setParam('h',12)
-        self.comp.setParam('b',10)
-        self.comp.setParam('cs', 0.0)
-        self.comp.setParam('alpha',0.05)
-        self.comp.setParam('c', 0.7)
-        self.comp.setParam('background',0.001)
-         
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-
-    def test1D(self):
-        """ Test 1D model for a BEPolyelectrolyte"""
-        self.assertAlmostEqual(self.comp.run(0.001),0.0948, 3)
-        
-    def test1D_2(self):
-        """ Test 2D model for a BEPolyelectrolyte"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]),0.0948, 3)
-      
-    def testEval_1D(self):
-        """ Test 1D model for a BEPolyelectrolyte with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a BEPolyelectrolyte with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-   
-    def testCriticalPoint(self):
-        """ Test BEPolyelectrolyte at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))            
-             
-             
-class TestDABModel(unittest.TestCase):
-    """ Unit tests for DABModel"""
-    
-    def setUp(self):
-        from sas.models.DABModel import DABModel
-        self.comp = DABModel()
-        self.comp.setParam('length',40.0)
-        self.comp.setParam('scale',10.0)
-        self.comp.setParam('background',1.0)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-    
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a DABModel"""
-        self.assertAlmostEqual(self.comp.run(0.001),637957.9047, 3)
-        
-    def test1D_2(self):
-        """ Test 2D model for a DABModel"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]),637957.90473, 3)
-         
-    def testEval_1D(self):
-        """ Test 1D model for a DABModel with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a DABModel with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test DABModel at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))           
-
-             
-    
-class TestGuinierModel(unittest.TestCase):
-    """ Unit tests for Guinier Model"""
-    
-    def setUp(self):
-        from sas.models.GuinierModel import GuinierModel
-        self.comp = GuinierModel()
-        self.comp.setParam('scale',1.0)
-        self.comp.setParam('rg', 1)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a GuinierModel"""
-        self.assertAlmostEqual(self.comp.run(1.0),0.716531, 4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a GuinierModel"""
-        self.assertAlmostEqual(self.comp.run([1.0, 1.3]),0.716531, 4)
-     
-    def testEval_1D(self):
-        """ Test 1D model for a GuinierModel with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a GuinierModel with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test GuinierModel at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))
-        
-        
-class TestDebyeModel(unittest.TestCase):
-    """ Unit tests for Debye Model"""
-    
-    def setUp(self):
-        from sas.models.DebyeModel import DebyeModel
-        self.comp = DebyeModel()
-        self.comp.setParam('rg', 50.0)
-        self.comp.setParam('scale',1.0)
-        self.comp.setParam('background',0.001)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a DebyeModel"""
-        self.assertAlmostEqual(self.comp.run(0.001),1.00017,4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a DebyeModel"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]),1.00017,4)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a DebyeModel with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a DebyeModel with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test DebyeModel at the critical point"""
-        self.assertEquals(self.comp.run(0.0),1.001)
-        
-       
-class TestPorodModel(unittest.TestCase):
-    """ Unit tests for PorodModel"""
-    
-    def setUp(self):
-        from sas.models.PorodModel import PorodModel
-        self.comp = PorodModel()
-        self.comp.setParam('scale', 1.0)
-        self.comp.setParam('background', 0.0)
-         
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a PorodModel"""
-        self.assertEquals(self.comp.run(0.5), 16)
-        
-    def test1D_2(self):
-        """ Test 2D model for a PorodModel"""
-        self.assertEquals(self.comp.run([0.5, 1.3]),16)  
-        
-    def testEval_1D(self):
-        """ Test 1D model for a PorodModel with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a PorodModel with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCreaticalPoint(self):
-        """ Test for critical point for PorodModel run"""
-        self.assertRaises(ZeroDivisionError, self.comp.run, 0.0)
-        
-        
-class TestPeakGaussModel(unittest.TestCase):
-    """ Unit tests for PeakGaussModel"""
-    
-    def setUp(self):
-        from sas.models.PeakGaussModel import PeakGaussModel
-        self.comp = PeakGaussModel()
-        self.comp.setParam('scale', 100)
-        self.comp.setParam('B', 0.005)
-        self.comp.setParam('q0',0.05)
-        self.comp.setParam('background',1.0)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a PeakGauss Model"""
-        self.assertEquals(self.comp.run(0.001),1)
-        
-    def test1D_2(self):
-        """ Test 2D model for a PeakGauss Model"""
-        self.assertEquals(self.comp.run([0.001, 1.3]),1)  
-        
-    def testEval_1D(self):
-        """ Test 1D model for a PeakGauss Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a PeakGauss Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-    
-    def testCriticalPoint(self):
-        """ Test PeakGauss at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))    
-        
-class TestPeakLorentzModel(unittest.TestCase):
-    """ Unit tests for PeakLorentzModel"""
-    
-    def setUp(self):
-        from sas.models.PeakLorentzModel import PeakLorentzModel
-        self.comp = PeakLorentzModel()
-        self.comp.setParam('scale', 100)
-        self.comp.setParam('B', 0.005)
-        self.comp.setParam('q0',0.05)
-        self.comp.setParam('background',1.0)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a PeakLorentz Model"""
-        self.assertAlmostEqual(self.comp.run(0.001), 2.0305, 3)
-        
-    def test1D_2(self):
-        """ Test 2D model for a PeakLorentz Model"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]), 2.0305, 3)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a PeakLorentz Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a PeakLorentz Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-        
-    def testCriticalPoint(self):
-        """ Test PeakLorentz at the critical point"""
-        self.comp.setParam('B', 0.0)
-        self.assertRaises(ZeroDivisionError, self.comp.run, 10)
-        #self.assert_(numpy.isfinite(self.comp.run(0.0)))       
-   
-class TestFractalModel(unittest.TestCase):
-    """ Unit tests for FractalModel"""
-    
-    def setUp(self):
-        from sas.models.FractalModel import FractalModel
-        self.comp = FractalModel()
-        self.comp.setParam('scale', 0.05)
-        self.comp.setParam('radius', 5.0)
-        self.comp.setParam('fractal_dim', 2.0)
-        self.comp.setParam('cor_length',100.0)
-        self.comp.setParam('sldBlock', 2.0e-6)
-        self.comp.setParam('sldSolv', 6.35e-6)
-        self.comp.setParam('background',0.0)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a Fractal Model"""
-        self.assertAlmostEqual(self.comp.run(0.001), 39.2881, 3)
-        
-    def test1D_2(self):
-        """ Test 2D model for a Fractal Model"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]), 39.2881, 3)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a Fractal Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a Fractal Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    # No more singular point    
-    #def testCriticalPoint(self):
-    #    """ Test Fractal at the critical point"""
-    #    self.assert_(numpy.isfinite(self.comp.run(0.0)))
-    
-class TestLorentzModel(unittest.TestCase):
-    """ Unit tests for LorentzModel"""
-    
-    def setUp(self):
-        from sas.models.LorentzModel import LorentzModel
-        self.comp = LorentzModel()
-        self.comp.setParam("background",1)
-        self.comp.setParam("length",50)
-        self.comp.setParam("scale",100)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a Lorentz Model"""
-        self.assertAlmostEqual(self.comp.run(0.001),100.751, 2)
-        
-    def test1D_2(self):
-        """ Test 2D model for a Lorentz Model"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]),100.751, 2)
-    
-    def testEval_1D(self):
-        """ Test 1D model for a Lorentz Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a Lorentz Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-          
-    def testCriticalPoint(self):
-        """ Test Lorentz at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))
-        
-          
-class TestPowerLawAbsModel(unittest.TestCase):
-    """ Unit tests for PowerLawAbsModel"""
-    
-    def setUp(self):
-        from sas.models.PowerLawAbsModel import PowerLawAbsModel
-        self.comp = PowerLawAbsModel()
-        self.comp.setParam("background",1)
-        self.comp.setParam("m",4)
-        self.comp.setParam("scale",1e-6)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a PowerLawAbs Model"""
-        self.assertAlmostEqual(self.comp.run(0.19189), 1.00074,4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a PowerLawAbs Model"""
-        self.assertAlmostEqual(self.comp.run([0.19189,1.3]), 1.00074,4)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a PowerLawAbs Model with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a PowerLawAbs Model with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test PowerLawAbs at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))
-        
-        
-class TestPowerLawModel(unittest.TestCase):
-    """ Unit tests for PowerLawModel"""
-    
-    def setUp(self):
-        from sas.models.PowerLawModel import PowerLawModel
-        self.comp = PowerLawModel()
-        self.comp.setParam("background",1)
-        self.comp.setParam("m",4)
-        self.comp.setParam("scale",1e-6)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a PowerLaw Model"""
-        self.assertAlmostEquals(self.comp.run(0.19189), 1.00074,4)
-        
-    def test1D_2(self):
-        """ Test 2D model for a PowerLawModel"""
-        self.assertAlmostEquals(self.comp.run([0.19189,1.3]), 1.00074,4)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a PowerLawModel with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a PowerLawModel with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test PowerLawModel at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))
-      
-      
-class TestTeubnerStreyModel(unittest.TestCase):
-    """ Unit tests for TeubnerStreyModel"""
-    
-    def setUp(self):
-        from sas.models.TeubnerStreyModel import TeubnerStreyModel
-        self.comp = TeubnerStreyModel()
-        self.comp.setParam("background",0.1)
-        self.comp.setParam("c1",-30)
-        self.comp.setParam("c2",5000)
-        self.comp.setParam("scale",0.1)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a TeubnerStrey Model"""
-        self.assertAlmostEqual(self.comp.run(0.001),10.103, 1)
-        
-    def test1D_2(self):
-        """ Test 2D model for a TeubnerStrey Model"""
-        self.assertAlmostEqual(self.comp.run([0.001, 1.3]),10.103, 1)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a TeubnerStrey  with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a TeubnerStrey  with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0],8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test TeubnerStrey at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))    
-      
-      
-class TestLineModel(unittest.TestCase):
-    """ Unit tests for LineModel"""
-    
-    def setUp(self):
-        from sas.models.LineModel import LineModel
-        self.comp = LineModel()
-        self.comp.setParam("A",1)
-        self.comp.setParam("B",1)
-        
-        self.x = numpy.array([0.4, 1.3])
-        self.y = numpy.array([0.5, 1.57])
-        self.x_array = self.comp.evalDistribution(self.x)
-        self.y_array = self.comp.evalDistribution(self.y)
-        qx_prime = numpy.reshape(self.x, [1,len(self.x)])
-        qy_prime = numpy.reshape(self.y, [len(self.y),1])
-        self.xy_matrix = self.comp.evalDistribution([self.x, self.y])
-        
-    def test1D(self):
-        """ Test 1D model for a Line Model"""
-        self.assertEquals(self.comp.run(1.0),2)
-        
-    def testEval_1D(self):
-        """ Test 1D model for a Line  with evalDistribution"""
-        self.assertEquals(self.comp.run(0.4),self.x_array[0])
-        self.assertEquals(self.comp.run(1.3),self.x_array[1])
-        
-    def testEval_2D(self):
-        """ Test 2D model for a Line  with evalDistribution"""
-        self.assertAlmostEquals(self.comp.runXY([0.4, 0.5]),self.xy_matrix[0], 8)
-        self.assertAlmostEquals(self.comp.runXY([1.3,1.57]),self.xy_matrix[1], 8)
-
-    
-    def testCriticalPoint(self):
-        """ Test line at the critical point"""
-        self.assert_(numpy.isfinite(self.comp.run(0.0)))
-
-class TestMassFractalModel(unittest.TestCase):
-    """ Unit tests for MassFractalModel: Need to verify the test value"""
-    
-    def setUp(self):
-        from sas.models.MassFractalModel import MassFractalModel
-        self.comp = MassFractalModel()
-        
-    def testEval_1D(self):
-        """ Test 1D model for a MassFractalModel"""
-        self.assertAlmostEquals(self.comp.run(0.05), 279.59322, 4)
-
-class TestSurfaceFractalModel(unittest.TestCase):
-    """ Unit tests for SurfaceFractalModel: Need to verify the test value"""
-    
-    def setUp(self):
-        from sas.models.SurfaceFractalModel import SurfaceFractalModel
-        self.comp = SurfaceFractalModel()
-        
-    def testEval_1D(self):
-        """ Test 1D model for a SurfaceFractal"""
-        self.assertAlmostEquals(self.comp.run(0.05), 301428.65916, 4)
-
-class TestMassSurfaceFractal(unittest.TestCase):
-    """ Unit tests for MassSurfaceFractal: Need to verify the test value"""
-    
-    def setUp(self):
-        from sas.models.MassSurfaceFractal import MassSurfaceFractal
-        self.comp = MassSurfaceFractal()
-        
-    def testEval_1D(self):
-        """ Test 1D model for a MassSurfaceFractal"""
-        self.assertAlmostEquals(self.comp.run(0.05), 1.77537e-05, 4)
-        
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/utest_sphere_dispersity.py
===================================================================
--- test/sasmodels/test/utest_sphere_dispersity.py	(revision b699768550de9d4b35b087234ec1d2a461922bab)
+++ 	(revision )
@@ -1,53 +1,0 @@
-"""
-    Unit tests for Gauss and Shulz dispersion functionality of 
-    C++ model classes
-"""
-
-import unittest, math, numpy
-from sas.sascalc.dataloader.loader import  Loader
-
-        
-class TestSphereGauss(unittest.TestCase):
-    """
-        Testing C++  Polydispersion w/ sphere comparing to IGOR/NIST computation
-    """
-    def setUp(self):
-        loader = Loader()
-        ## IGOR/NIST computation
-        self.output_gauss=loader.load('Gausssphere.txt')
-        self.output_shulz=loader.load('Schulzsphere.txt')
-
-        from sas.models.SphereModel import SphereModel
-        self.model= SphereModel()
-
-        self.model.setParam('scale', 0.01)
-        self.model.setParam('radius', 60.0)
-        self.model.setParam('sldSph', 1.e-6)
-        self.model.setParam('sldSolv', 3.e-6)
-        self.model.setParam('background', 0.001)
-
-    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_shulz(self):
-        from sas.models.dispersion_models import SchulzDispersion
-        disp_s = SchulzDispersion()
-        self.model.set_dispersion('radius', disp_s)
-        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_shulz.x)):
-            self.assertAlmostEqual(self.model.run(self.output_gauss.x[ind]), 
-                                   self.output_shulz.y[ind], 3)        
-
-if __name__ == '__main__':
-    unittest.main()
-   
Index: st/sasmodels/test/utest_state.py
===================================================================
--- test/sasmodels/test/utest_state.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,32 +1,0 @@
-#!/usr/bin/env python
-""" 
-    Test for setstate and reduce_ex operations for models
-"""
-import unittest
-
-from sas.models.SphereModel import SphereModel
-
-class TestSphere(unittest.TestCase):
-    def setUp(self):
-        self.sphere = SphereModel()
-        
-    def test_state_IO(self):
-        """
-            Check that a state oject is independent from the model object it
-            was generated with
-        """
-        self.sphere.setParam('radius', 44.0)
-        _, _, state, _, _ = self.sphere.__reduce_ex__(0)
-        
-        sphere_copy = SphereModel()
-        sphere_copy.__setstate__(state)
-        sphere_clone = sphere_copy.clone()
-        self.assertEqual(sphere_copy.getParam('radius'), 44)
-        
-        self.sphere.setParam('radius', 33.0)
-        
-        self.assertEqual(sphere_clone.getParam('radius'), 44)
-        
-    
-if __name__ == '__main__':
-    unittest.main()
Index: st/sasmodels/test/validate_1D_model.py
===================================================================
--- test/sasmodels/test/validate_1D_model.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,110 +1,0 @@
-#!/usr/bin/env python
-""" 
-    Class to validate a given model by reading a test data set
-    generated from the IGOR SAS analysis tool from the NCNR
-"""
-import sys, math
-
-
-class Validate1D:
-    """ 
-        Class to validate a given model by reading a test data set
-        generated from the IGOR SAS analysis tool from the NCNR
-    """
-    
-    def __init__(self):
-        """ Initialization """
-        # Precision for the result comparison
-        self.precision = 0.0001
-        # Flag for end result
-        self.passed = True
-                
-    def __call__(self, filename):
-        """ 
-            Perform test on a data file
-            @param filename: name of the test data set
-        """
-        from sas.models.CylinderModel import CylinderModel
-        
-        # Read the data file
-        file_obj = open(filename,'r')
-        content = file_obj.read()
-        
-        # Flag to determine whether we are in the DATA section
-        started_data = False
-        # Model to test
-        model_object = None
-        
-        # Process each line of the file
-        for line in content.split('\n'):
-            if len(line)==0:
-                continue
-            try:
-                # Catch class name
-                if line.count("pythonclass")>0 and model_object==None:
-                    toks = line.split('=')
-                    print "Found class", toks[1]
-                    classname = toks[1].lstrip().rstrip()
-                    exec "from sas.models.%s import %s" % (classname, classname)
-                    exec "model_object = %s()" % classname
-                
-                    # Output file for plotting
-                    file_out = open("%s_out.txt" % classname, 'w')
-                    file_out.write("<q>  <I_danse>  <I_igor>\n")
-                
-                # Process data
-                elif started_data:
-                    toks = line.split()
-                    q = float(toks[0])
-                    iq = float(toks[1])
-                    
-                    value = model_object.run(q)
-                    
-                    file_out.write("%g %g %g\n" % (q, value, iq))
-                    
-                    if math.fabs( (value - iq)/iq )>self.precision:
-                        self.passed = False
-                        print "ERROR q=%g: %g <> %g" % (q, model_object.run(q), iq)
-                        
-                # Catch DATA tag
-                elif line.count("DATA")>0:
-                    started_data = True
-                                
-                # Process parameters
-                elif started_data == False and not model_object==None:
-                    toks = line.split('=')
-                    if len(toks)==2:
-                        print "Setting parameter", line
-                        model_object.setParam(toks[0].lstrip().rstrip(), 
-                                              float(toks[1]))
-            except:
-                print "Could not parse line:\n %s" % line
-                print sys.exc_value
-            
-        file_obj.close()
-        file_out.close()
-        
-        print "Test passed = ", self.passed
-        return self.passed
-            
-if __name__ == '__main__':
-    validator = Validate1D()
-    all_pass = True
-    all_pass = all_pass and validator("sphere_testdata.txt")
-    print '\n'
-    all_pass = all_pass and validator("cylinder_testdata.txt")
-    print '\n'
-    all_pass = all_pass and validator("core_shell_cyl_testdata.txt")
-    print '\n'
-    all_pass = all_pass and validator("core_shell_testdata.txt")
-    print '\n'
-    all_pass = all_pass and validator("ellipsoid_testdata.txt")
-    print '\n'
-    all_pass = all_pass and validator("elliptical_cylinder_testdata.txt")
-
-    print '\nOverall result:', all_pass
-        
-        
-        
-  
-    
Index: st/sasmodels/test/validate_2D_3axes_shape_model.py
===================================================================
--- test/sasmodels/test/validate_2D_3axes_shape_model.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,138 +1,0 @@
-#!/usr/bin/env python
-""" 
-    Class to validate a given 2D model w/ 3 axes by averaging it
-    and comparing to 1D prediction.
-    
-    The equation used for averaging is:
-    
-        (integral dphi from 0 to 2pi)(integral dtheta from 0 to pi)
-             p(theta, phi) I(q) sin(theta) dtheta
-             
-        = (1/N_phi) (1/N_theta) (pi/2) (sum over N_phi) (sum over N_theta)
-             p(theta_i, phi_i) I(q) sin(theta_i)
-             
-    where p(theta, phi) is the probability distribution normalized to 4pi.
-    In the current case, we put p(theta, phi) = 1.
-    
-    The normalization factor results from:
-          2pi/N_phi      for the phi sum
-        x pi/N_theta     for the theta sum
-        x 1/(4pi)        because p is normalized to 4pi
-        --------------
-        = (1/N_phi) (1/N_theta) (pi/2)
-    
-    Note: 
-        Averaging the 3-axes 2D scattering intensity give a slightly
-        different output than the 1D function  
-        at hight Q (Q>~0.2). This is due to the way the IGOR library 
-        averages(?), taking only 76 points in alpha, the angle between
-        the axis of the ellipsoid and the q vector.
-        
-    Note: Core-shell and sphere models are symmetric around
-        all axes and don't need to be tested in the following way.
-"""
-import sys, math
-from sas.models.EllipticalCylinderModel import EllipticalCylinderModel
-from sas.models.ParallelepipedModel import ParallelepipedModel
-from sas.models.TriaxialEllipsoidModel import TriaxialEllipsoidModel
-
-class Validate2D:
-    """ 
-        Class to validate a given 2D model by averaging it
-        and comparing to 1D prediction.
-    """
-    
-    def __init__(self):
-        """ Initialization """
-        # Precision for the result comparison
-        self.precision = 0.000001
-        # Flag for end result
-        self.passed = True
-                
-    def __call__(self, model_class=EllipticalCylinderModel, points = 101):
-        """ 
-            Perform test and produce output file
-            @param model_class: python class of the model to test
-        """
-        print "Averaging %s: Note; takes loooong time." % model_class.__name__
-        passed = True
-        
-        npts =points
-        #The average values are very sensitive to npts of phi so npts_alpha should be large enough.
-        npts_alpha =180 #npts of phi
-        model = model_class()
-        #model.setParam('scale', 1.0)
-        #model.setParam('contrast', 1.0)
-        
-        theta_label = 'cyl_theta'
-        if not model.params.has_key(theta_label):
-            theta_label = 'parallel_theta'
-        if not model.params.has_key(theta_label):
-            theta_label = 'axis_theta'
-            
-        phi_label = 'cyl_phi'
-        if not model.params.has_key(phi_label):
-            phi_label = 'parallel_phi'
-        if not model.params.has_key(phi_label):
-            phi_label = 'axis_phi'
-            
-        psi_label = 'cyl_psi'
-        if not model.params.has_key(psi_label):
-            psi_label = 'parallel_psi'
-        if not model.params.has_key(psi_label):
-            psi_label = 'axis_psi'
-            
-        output_f = open("%s_avg.txt" % model.__class__.__name__,'w')
-        output_f.write("<q_average> <2d_average> <1d_average>\n")
-            
-        for i_q in range(1, 23):
-            q = 0.01*i_q
-            sum = 0.0
-            weight = 0.0
-            for i_theta in range(npts):
-                theta = 180.0/npts*(i_theta+1)
-                
-                model.setParam(theta_label, theta)
-                
-                for j in range(npts_alpha):
-                    model.setParam(phi_label, 180.0 * 2.0 / npts_alpha * j)
-                    for k in range(npts):
-                        model.setParam(psi_label, 180.0 * 2.0 / npts * k)
-                        if str(model.run([q, 0])).count("INF")>0:                        
-                            print "ERROR", q, theta, 180.0 * 2.0 / npts * k
-                            
-                        # sin() is due to having not uniform bin number density wrt the q plane.
-                        sum += model.run([q, 0])*math.fabs(math.cos(theta*math.pi/180.0))
-                        weight += math.fabs(math.cos(theta*math.pi/180.0) )
-
-            value = sum/weight #*math.pi/2.0
-            ana = model.run(q)
-            if q<0.3 and (value-ana)/ana>0.05:
-                passed = False
-            output_f.write("%10g %10g %10g\n" % (q, value, ana))
-            print "Q=%g: %10g %10g %10g %10g" % (q, value, ana, value-ana, value/ana)
-        
-        output_f.close()
-        return passed
-    
-        
-        
-if __name__ == '__main__':
-    validator = Validate2D()
-    
-    #Note: Test one model by one model, otherwise it could crash depending on the memory.
-    
-    te_passed =validator(TriaxialEllipsoidModel, points=76)
-    #pp_passed = validator(ParallelepipedModel, points=76)
-    #ell_passed = validator(EllipticalCylinderModel, points=76)
-        
-    print ""
-    print "Model             Passed"
-    print "TriaxialEllipsoid         %s" % te_passed
-    #print "ParallelepipedModel    %s" % pp_passed
-    #print "EllipticalCylinder        %s" % ell_passed
- 
-        
-        
-  
-    
Index: st/sasmodels/test/validate_2D_elliptical_cyl.py
===================================================================
--- test/sasmodels/test/validate_2D_elliptical_cyl.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,234 +1,0 @@
-#!/usr/bin/env python
-""" 
-    Test for Elliptical Cylinder model.
-    Class to validate a given 2D model by averaging it
-    and comparing to 1D prediction.
-    
-"""
-import sys, math
-from sas.models.EllipticalCylinderModel import EllipticalCylinderModel
-
-
-class Validate2D:
-    """ 
-        Class to validate a given 2D model by averaging it
-        and comparing to 1D prediction.
-    """
-    
-    def __init__(self):
-        """ Initialization """
-        # Precision for the result comparison
-        self.precision = 0.000001
-        # Flag for end result
-        self.passed = True
-        # Verbose flag
-        self.verbose = True
-                
-    def __call__(self, npts = 101):
-        """ 
-            Perform test and produce output file
-            @param npts: number of points to average over
-            @return: True if the test passed, otherwise False
-        """
-        passed = True
-        
-        model = EllipticalCylinderModel()
-        
-        theta_label = 'cyl_theta'
-        if not model.params.has_key(theta_label):
-            theta_label = 'axis_theta'
-            
-        phi_label = 'cyl_phi'
-        if not model.params.has_key(phi_label):
-            phi_label = 'axis_phi'
-        
-        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_3D(model, q, npts)
-            ana = model.run(q)
-            if q<0.3 and (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 average_point_3D(self, model, q, npts):
-        """
-            Average intensity over all orientations
-            of the main cylinder axis and the 
-            rotation around that axis
-            
-            @param model: model to test
-            @param q: q-value
-            @param npts: number of points to average over
-            @return: average intensity
-        """
-        sum = 0.0
-        for i_theta in range(npts):
-            theta = math.pi/npts*i_theta
-            
-            model.setParam('cyl_theta', theta)
-            
-            for j in range(npts):
-                model.setParam('cyl_phi', math.pi * 2.0 / npts * j)
-                     
-                for k in range(npts):
-                    model.setParam("cyl_psi", math.pi * 2.0 / npts * k)
-                    
-                    if str(model.run([q, 0])).count("IN")>0:                        
-                        if self.verbose:
-                            #print "ERROR", q, theta, math.pi * 2.0 / npts * j
-                            pass
-                    else:
-                        sum += math.fabs(math.cos(theta))*model.run([q, 0])
-         
-        value = sum/npts/npts/npts
-        return value
-
-    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 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 average_point_2D(self, model, q, npts):
-        """
-            Average intensity over all orientations
-            of the main cylinder axis
-            
-            @param model: model to test
-            @param q: q-value
-            @param npts: number of points to average over
-            @return: average intensity
-        """
-        sum = 0.0
-        
-        for i_theta in range(npts):
-            theta = math.pi/npts*i_theta            
-            model.setParam('cyl_theta', theta * 180 / math.pi)
-            
-            for j in range(npts):
-                model.setParam('cyl_phi', 180 * 2.0 / npts * j)
-                     
-                if str(model.run([q, 0])).count("IN")>0:                        
-                    if self.verbose:
-                        print "ERROR", q, theta, 180 * 2.0 / npts * j
-                else:
-                    sum += math.fabs(math.cos(theta))*model.run([q, 0])
-        
-        value = sum/npts/npts*math.pi/2.0
-        return value
-
-    
-if __name__ == '__main__':
-    select = 0
-
-    validator = Validate2D()
-    validator.verbose = True
-    
-    print "Testing Elliptical cylinder to 5%\n"
-    
-    if select == 0 or select == 1:
-        # Check that the scat intensity reduces to a cylinder
-        # for r_ratio = 1
-        print "Comparing to Cyl I(q,theta):", validator.checkCylinder2D(1.5)
-    elif select == 0 or select == 2:
-        print "Comparing average to Cyl I(q):", validator.checkCylinder(100)
-    elif select == 0 or select == 3:
-        ellcyl_passed = validator(100)
-    
-        
-        
-        
-  
-    
Index: st/sasmodels/test/validate_2D_model.py
===================================================================
--- test/sasmodels/test/validate_2D_model.py	(revision 8c9ffde290eafed946f800881bf4901b48445d4c)
+++ 	(revision )
@@ -1,206 +1,0 @@
-#!/usr/bin/env python
-""" 
-    Class to validate a given 2D model by averaging it
-    and comparing to 1D prediction.
-    
-    The equation used for averaging is:
-    
-        (integral dphi from 0 to 2pi)(integral dtheta from 0 to pi)
-             p(theta, phi) I(q) sin(theta) dtheta
-             
-        = (1/N_phi) (1/N_theta) (pi/2) (sum over N_phi) (sum over N_theta)
-             p(theta_i, phi_i) I(q) sin(theta_i)
-             
-    where p(theta, phi) is the probability distribution normalized to 4pi.
-    In the current case, we put p(theta, phi) = 1.
-    
-    The normalization factor results from:
-          2pi/N_phi      for the phi sum
-        x pi/N_theta     for the theta sum
-        x 1/(4pi)        because p is normalized to 4pi
-        --------------
-        = (1/N_phi) (1/N_theta) (pi/2)
-    
-    Note: Ellipsoid
-        Averaging the 2D ellipsoid scattering intensity give a slightly
-        different output than the 1D function from the IGOR library 
-        at hight Q (Q>0.3). This is due to the way the IGOR library 
-        averages, taking only 76 points in alpha, the angle between
-        the axis of the ellipsoid and the q vector.
-        
-    Note: Core-shell and sphere models are symmetric around
-        all axes and don't need to be tested in the following way.
-"""
-import sys, math
-from sas.models.SphereModel import SphereModel
-from sas.models.CylinderModel import CylinderModel
-from sas.models.EllipsoidModel import EllipsoidModel
-from sas.models.CoreShellCylinderModel import CoreShellCylinderModel
-
-
-class Validate2D:
-    """ 
-        Class to validate a given 2D model by averaging it
-        and comparing to 1D prediction.
-    """
-    
-    def __init__(self):
-        """ Initialization """
-        # Precision for the result comparison
-        self.precision = 0.000001
-        # Flag for end result
-        self.passed = True
-                
-    def __call__(self, model_class=CylinderModel, points = 101):
-        """ 
-            Perform test and produce output file
-            @param model_class: python class of the model to test
-        """
-        print "Averaging %s" % model_class.__name__
-        passed = True
-        
-        npts =points
-        model = model_class()
-        #model.setParam('scale', 1.0)
-        #model.setParam('contrast', 1.0)
-        
-        theta_label = 'cyl_theta'
-        if not model.params.has_key(theta_label):
-            theta_label = 'axis_theta'
-            
-        phi_label = 'cyl_phi'
-        if not model.params.has_key(phi_label):
-            phi_label = 'axis_phi'
-        
-        output_f = open("%s_avg.txt" % model.__class__.__name__,'w')    
-        output_f.write("<q_average> <2d_average> <1d_average>\n")
-            
-        for i_q in range(1, 30):
-            q = 0.025 *i_q
-            sum = 0.0
-            for i_theta in range(npts):
-                theta = 180.0 / npts * i_theta
-                
-                model.setParam(theta_label, theta)
-                
-                for j in range(npts):
-                    model.setParam(phi_label, 180.0 * 2.0 / npts * j)
-                    if str(model.run([q, 0])).count("INF")>0:                        
-                        print "ERROR", q, theta, 180.0 * 2.0 / npts * j
-                    sum += math.fabs(math.cos(theta*math.pi/180.0))*model.run([q, 0])
-                    #sum += model.run([q, 0])
-            
-            value = sum/npts/npts*math.pi/2.0
-            ana = model.run(q)
-            if q<0.25 and (value-ana)/ana>0.05:
-                passed = False
-            output_f.write("%10g %10g %10g\n" % (q, value, ana))
-            print "Q=%g: %10g %10g %10g %10g" % (q, value, ana, value-ana, value/ana)
-        
-        output_f.close()
-        return passed
-    
-    def average(self, model_class=CylinderModel, points = 101):
-        """ 
-            Perform test and produce output file
-            @param model_class: python class of the model to test
-        """
-        print "Averaging %s" % model_class.__name__
-        passed = True
-        
-        npts =points
-        model = model_class()
-        model.setParam('scale', 1.0)
-        #model.setParam('contrast', 1.0)
-        
-        theta_label = 'cyl_theta'
-        if not model.params.has_key(theta_label):
-            theta_label = 'axis_theta'
-            
-        phi_label = 'cyl_phi'
-        if not model.params.has_key(phi_label):
-            phi_label = 'axis_phi'
-        
-        output_f = open("%s_avg.txt" % model.__class__.__name__,'w')    
-        output_f.write("<q_average> <2d_average> <1d_average>\n")
-            
-        for i_q in range(1, 30):
-            q = 0.025*i_q
-            sum = 0.0
-            theta = 90.0
-            
-            model.setParam(theta_label, theta)
-            
-            for j in range(npts):
-                model.setParam(phi_label, 180.0 / 2.0 / npts * j)
-                if str(model.run([q, 0])).count("INF")>0:                        
-                    print "ERROR", q, theta, 180.0 * 2.0 / npts * j
-                #sum += math.sin(theta*math.pi/180.0)*model.run([q, 0])
-                sum += math.sin(math.pi / 2.0 / npts * j)*model.run([q, 0])
-                #sum += model.run([q, 0])
-            
-            value = sum/npts
-            ana = model.run(q)
-            if q<0.25 and (value-ana)/ana>0.05:
-                passed = False
-            output_f.write("%10g %10g %10g\n" % (q, value, ana))
-            print "Q=%g: %10g %10g %10g %10g" % (q, value, ana, value-ana, value/ana)
-        
-        output_f.close()
-        return passed
-        
-    def test_non_oriented(self, model_class=SphereModel, points = 101):
-        """ 
-            Perform test and produce output file
-            @param model_class: python class of the model to test
-        """
-        print "Averaging %s" % model_class.__name__
-        passed = True
-        
-        npts =points
-        model = model_class()
-        #model.setParam('scale', 1.0)
-        #model.setParam('contrast', 1.0)
-        
-        output_f = open("%s_avg.txt" % model.__class__.__name__,'w')    
-        output_f.write("<q_average> <2d_average> <1d_average>\n")
-            
-        for i_q in range(1, 30):
-            q = 0.025*i_q
-            sum = 0.0
-            for i_theta in range(npts):
-                theta = 180.0/npts*i_theta
-                
-                for j in range(npts):
-                    if str(model.run([q, 0])).count("INF")>0:                        
-                        print "ERROR", q, theta, 180.0 * 2.0 / npts * j
-                    sum += math.sin(theta*math.pi/180.0)*model.run([q, 0])
-            
-            value = sum/npts/npts*math.pi/2.0
-            ana = model.run(q)
-            if q<0.25 and (value-ana)/ana>0.05:
-                passed = False
-            output_f.write("%10g %10g %10g\n" % (q, value, ana))
-            print "Q=%g: %10g %10g %10g %10g" % (q, value, ana, value-ana, value/ana)
-        
-        output_f.close()
-        return passed
-            
-        
-if __name__ == '__main__':
-    validator = Validate2D()
-    cyl_passed = validator(CylinderModel, points=201)
-    ell_passed = validator(EllipsoidModel, points=501)
-    cylcorehsell_passed = validator(CoreShellCylinderModel, points=201) 
-    sph_passed = validator.test_non_oriented(SphereModel, points=211) 
-        
-    print ""
-    print "Model             Passed"
-    print "Cylinder          %s" % cyl_passed
-    print "Ellipsoid         %s" % ell_passed
-    print "Core-shell cyl    %s" % cylcorehsell_passed
-    print "Sphere            %s" % sph_passed
-        
-        
-  
-    
