source: sasview/park_integration/test/constrainttestpark.py @ df58d26f

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload
Last change on this file since df58d26f was 4dd63eb, checked in by Gervaise Alina <gervyh@…>, 16 years ago

change on set_model

  • Property mode set to 100644
File size: 1.8 KB
RevLine 
[9e85792]1"""
2    Unit tests for fitting module
3"""
4import unittest
5from sans.guitools.plottables import Theory1D
6from sans.guitools.plottables import Data1D
7from sans.fit.ScipyFitting import Parameter
8import math
9class testFitModule(unittest.TestCase):
10   
11    def test2models2dataonconstraint(self):
[792db7d5]12        """ test fitting for two set of data  and one model with 2 constraint"""
[9e85792]13        from sans.fit.Loader import Load
14        load= Load()
15        #Load the first set of data
16        load.set_filename("testdata1.txt")
17        load.set_values()
18        data1 = Data1D(x=[], y=[],dx=None, dy=None)
19        load.load_data(data1)
20       
21        #Load the second set of data
22        load.set_filename("testdata2.txt")
23        load.set_values()
24        data2 = Data1D(x=[], y=[],dx=None, dy=None)
25        load.load_data(data2)
26       
27        #Importing the Fit module
28        from sans.fit.Fitting import Fit
[4dd63eb]29        fitter= Fit('park')
[9e85792]30        # Receives the type of model for the fitting
31        from sans.guitools.LineModel import LineModel
32        model1  = LineModel()
33        model2  = LineModel()
[4dd63eb]34       
[9e85792]35        #Do the fit
[792db7d5]36       
[4dd63eb]37        fitter.set_model(model1,"M1",1, {'A':1,'B':2})
38        fitter.set_data(data1,1)
39       
40        fitter.set_model(model2,"M2",2, {'A':'M1.A','B':'M1.B'})
41        fitter.set_data(data2,2)
[9e85792]42   
43       
[4dd63eb]44        chisqr2, out2, cov2= fitter.fit()
[792db7d5]45        print "chisqr2",chisqr2
46        print "out2", out2
47        print " cov2", cov2
48        print chisqr2/len(data1.x)
49       
50        self.assert_(math.fabs(out2[1]-2.5)/math.sqrt(cov2[1][1]) < 2)
51        self.assert_(math.fabs(out2[0]-4.0)/math.sqrt(cov2[0][0]) < 2)
52        #self.assert_(chisqr2/len(data1.x) < 2)
53        #self.assert_(chisqr2/len(data2.x) < 2)
54       
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