Changeset dfa8832 in sasview for sansmodels/src

Timestamp:

Jan 7, 2010 5:06:14 PM (15 years ago)

Author:

Jae Cho <jhjcho@…>

Branches:

master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload

Children:

2db1d66

Parents:

c451be9

Message:

Updated some values of test accordingly to the changes in finding averaged volume for dispersions

Location:

sansmodels/src/sans/models/test

Files:

• utest_dispersity.py (modified) (10 diffs)
• utest_other_dispersity.py (modified) (3 diffs)

sansmodels/src/sans/models/test/utest_dispersity.py

@@ -34 +34 @@
         self.model.dispersion['radius']['npts'] = 100
         
-        self.assertAlmostEqual(self.model.run(0.001), 4527.47250339, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001, 0.001]), 4546.997777604715, 3)
+        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):
@@ -45 +45 @@
         self.model.setParam('scale', 10.0)
         
-        self.assertAlmostEqual(self.model.run(0.001), 4723.32213339, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 4743.56, 2)
+        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):
@@ -57 +57 @@
         
         new_model = self.model.clone()
-        self.assertAlmostEqual(new_model.run(0.001), 4723.32213339, 3)
-        self.assertAlmostEqual(new_model.runXY([0.001,0.001]), 4743.56, 2)
+        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):
@@ -154 +154 @@
         self.model.dispersion['length']['npts'] = 10
 
-        self.assertAlmostEqual(self.model.run(0.001), 358.44062724936009, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 360.22673635224584, 3)
+        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)
         
 
@@ -235 +235 @@
 
 
-        self.assertAlmostEqual(self.model.run(0.001), 407.344127907553, 3)
+        self.assertAlmostEqual(self.model.run(0.001), 1.16747510*407.344127907553, 3)
 
         
@@ -286 +286 @@
 
 
-        self.assertAlmostEqual(self.model.run(0.001), 11948.72581312305, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 11811.972359807551, 3)
+        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):
@@ -339 +339 @@
         """
         self.assertAlmostEqual(self.model.run(0.001), 90412744456148.094, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 90347660670656.391, 3)
+        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 90347660670656.391, 1)
 
     def test_dispersion(self):
@@ -348 +348 @@
         disp = DisperseModel(self.model, ['radius'], [10])
         disp.setParam('n_pts', 10)
-        self.assertAlmostEqual(disp.run(0.001), 96795008379475.25, 3)
+        self.assertAlmostEqual(disp.run(0.001), 96795008379475.25, 1)
         
     def test_new_disp(self):
@@ -357 +357 @@
         self.model.dispersion['radius']['npts'] = 10
 
-        self.assertAlmostEqual(self.model.run(0.001), 96795008379475.25, 3)
+        self.assertAlmostEqual(self.model.run(0.001), 1.19864810*96795008379475.25,3)
         
         
@@ -415 +415 @@
         self.model.dispersion['length']['npts'] = 10
 
-        self.assertAlmostEqual(self.model.run(0.001), 711.18048194151925, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 704.63525988095705, 3)
+        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, 3)
         
 

sansmodels/src/sans/models/test/utest_other_dispersity.py

@@ -33 +33 @@
         self.model.dispersion['radius']['width'] = 5.0
         self.model.dispersion['radius']['npts'] = 100
-        
-        self.assertAlmostEqual(self.model.run(0.001), 4527.47250339, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001, 0.001]), 4546.997777604715, 3)
+        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):
@@ -45 +45 @@
         self.model.setParam('scale', 10.0)
         
-        self.assertAlmostEqual(self.model.run(0.001), 4723.32213339, 3)
-        self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 4743.56, 2)
+        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):
@@ -58 +58 @@
         new_model = self.model.clone()
         print "gaussian",self.model.run(0.001)
-        self.assertAlmostEqual(new_model.run(0.001), 4723.32213339, 3)
-        self.assertAlmostEqual(new_model.runXY([0.001,0.001]), 4743.56, 2)
+        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):