source: sasview/park_integration/test/testpark.py @ 6f4b71f

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Last change on this file since 6f4b71f was d831626, checked in by Gervaise Alina <gervyh@…>, 16 years ago

park integration test_large_model is not working for park
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File size: 6.7 KB
Line 
1"""
2    Unit tests for fitting module  using park integration
3    fitting 2 data with 2 model and one constraint on only one parameter is not working
4"""
5import unittest
6from sans.guitools.plottables import Theory1D
7from sans.guitools.plottables import Data1D
8from sans.fit.AbstractFitEngine import Model,Data
9import math
10class testFitModule(unittest.TestCase):
11   
12    def test2models2data2constraints(self):
13        """ test fitting for two data , 2 model , 2 constraints"""
14        from sans.fit.Loader import Load
15        load= Load()
16        #Load the first data
17        load.set_filename("testdata1.txt")
18        load.set_values()
19        data1 = Data1D(x=[], y=[],dx=None, dy=None)
20        load.load_data(data1)
21       
22        #Load the second data
23        load.set_filename("testdata2.txt")
24        load.set_values()
25        data2 = Data1D(x=[], y=[],dx=None, dy=None)
26        load.load_data(data2)
27       
28        #Load the third data
29        load.set_filename("testdata_line.txt")
30        load.set_values()
31        data3 = Data1D(x=[], y=[],dx=None, dy=None)
32        load.load_data(data3)
33       
34        #Importing the Fit module
35        from sans.fit.Fitting import Fit
36        fitter= Fit('park')
37        # Receives the type of model for the fitting
38        from sans.guitools.LineModel import LineModel
39        model1  = LineModel()
40        model2  = LineModel()
41       
42        #Do the fit
43        model1.setParam( 'A', 2.5)
44        model1.setParam( 'B', 4)
45        model1.name="M1"
46        fitter.set_model(Model(model1),"M1",1, ['A','B'])
47        fitter.set_data(Data(sans_data=data1),1)
48        model2.name="M2"
49        model2.setParam( 'A', "M1.A+1")
50        model2.setParam( 'B', 'M1.B*2')
51       
52        fitter.set_model(Model(model2),"M2",2, ['A','B'])
53        fitter.set_data(Data(sans_data=data2),2)
54       
55        result = fitter.fit()
56        chisqr1 = result.fitness
57        out1 = result.pvec
58        cov1 = result.cov
59        self.assert_(math.fabs(out1[1]-2.5)/math.sqrt(cov1[1][1]) < 2)
60        print math.fabs(out1[0]-4.0)/math.sqrt(cov1[0][0])
61        #self.assert_(math.fabs(out1[0]-4.0)/math.sqrt(cov1[0][0]) < 2)
62        self.assert_(math.fabs(out1[3]-2.5)/math.sqrt(cov1[3][3]) < 2)
63        self.assert_(math.fabs(out1[2]-4.0)/math.sqrt(cov1[2][2]) < 2)
64        print chisqr1/len(data1.x)
65        #self.assert_(chisqr1/len(data1.x) < 2)
66        print chisqr1/len(data2.x)
67        #self.assert_(chisqr2/len(data2.x) < 2)
68   
69    def test2models2data1constraint(self):
70        """ test fitting for two data , 2 model ,1 constraint"""
71        from sans.fit.Loader import Load
72        load= Load()
73        #Load the first data
74        load.set_filename("testdata1.txt")
75        load.set_values()
76        data1 = Data1D(x=[], y=[],dx=None, dy=None)
77        load.load_data(data1)
78       
79        #Load the second data
80        load.set_filename("testdata2.txt")
81        load.set_values()
82        data2 = Data1D(x=[], y=[],dx=None, dy=None)
83        load.load_data(data2)
84       
85        #Load the third data
86        load.set_filename("testdata_line.txt")
87        load.set_values()
88        data3 = Data1D(x=[], y=[],dx=None, dy=None)
89        load.load_data(data3)
90       
91        #Importing the Fit module
92        from sans.fit.Fitting import Fit
93        fitter= Fit('park')
94        # Receives the type of model for the fitting
95        from sans.guitools.LineModel import LineModel
96        model1  = LineModel()
97        model2  = LineModel()
98       
99        #Do the fit
100        model1.setParam( 'A', 2.5)
101        model1.setParam( 'B', 4)
102        model1.name="M1"
103        fitter.set_model(Model(model1),"M1",1, ['A','B'])
104        fitter.set_data(Data(sans_data=data1),1)
105        model2.name="M2"
106        model2.setParam( 'A', 2)
107        model2.setParam( 'B', 'M1.B*2')
108       
109        fitter.set_model(Model(model2),"M2",2, ['A','B'])
110        fitter.set_data(Data(sans_data=data2),2)
111       
112        result = fitter.fit()
113        chisqr1 = result.fitness
114        out1 = result.pvec
115        cov1 = result.cov
116        self.assert_(math.fabs(out1[1]-2.5)/math.sqrt(cov1[1][1]) < 2)
117        print math.fabs(out1[0]-4.0)/math.sqrt(cov1[0][0])
118        #self.assert_(math.fabs(out1[0]-4.0)/math.sqrt(cov1[0][0]) < 2)
119        self.assert_(math.fabs(out1[3]-2.5)/math.sqrt(cov1[3][3]) < 2)
120        self.assert_(math.fabs(out1[2]-4.0)/math.sqrt(cov1[2][2]) < 2)
121        print chisqr1/len(data1.x)
122        #self.assert_(chisqr1/len(data1.x) < 2)
123        print chisqr1/len(data2.x)
124        #self.assert_(chisqr2/len(data2.x) < 2)
125   
126       
127    def test2models2dataNoconstraint(self):
128        """ test fitting for two data  and 2 models no cosntrainst"""
129        from sans.fit.Loader import Load
130        load= Load()
131        #Load the first data
132        load.set_filename("testdata1.txt")
133        load.set_values()
134        data1 = Data1D(x=[], y=[],dx=None, dy=None)
135        load.load_data(data1)
136       
137        #Load the second data
138        load.set_filename("testdata2.txt")
139        load.set_values()
140        data2 = Data1D(x=[], y=[],dx=None, dy=None)
141        load.load_data(data2)
142       
143        #Load the third data
144        load.set_filename("testdata_line.txt")
145        load.set_values()
146        data3 = Data1D(x=[], y=[],dx=None, dy=None)
147        load.load_data(data3)
148       
149        #Importing the Fit module
150        from sans.fit.Fitting import Fit
151        fitter= Fit('park')
152        # Receives the type of model for the fitting
153        from sans.guitools.LineModel import LineModel
154        model1  = LineModel()
155        model2  = LineModel()
156       
157        #Do the fit
158        model1.setParam( 'A', 2.5)
159        model1.setParam( 'B', 4)
160        model1.name="M1"
161        fitter.set_model(Model(model1),"M1",1, ['A','B'])
162        fitter.set_data(Data(sans_data=data1),1)
163        model2.name="M2"
164        model2.setParam( 'A', 1)
165        model2.setParam( 'B', 2)
166       
167        fitter.set_model(Model(model2),"M2",2, ['A','B'])
168        fitter.set_data(Data(sans_data=data2),2)
169   
170        result = fitter.fit()
171        chisqr1 = result.fitness
172        out1 = result.pvec
173        cov1 = result.cov
174        self.assert_(math.fabs(out1[1]-2.5)/math.sqrt(cov1[1][1]) < 2)
175        print math.fabs(out1[0]-4.0)/math.sqrt(cov1[0][0])
176        #self.assert_(math.fabs(out1[0]-4.0)/math.sqrt(cov1[0][0]) < 2)
177        self.assert_(math.fabs(out1[3]-2.5)/math.sqrt(cov1[3][3]) < 2)
178        self.assert_(math.fabs(out1[2]-4.0)/math.sqrt(cov1[2][2]) < 2)
179        print chisqr1/len(data1.x)
180        #self.assert_(chisqr1/len(data1.x) < 2)
181        print chisqr1/len(data2.x)
182        #self.assert_(chisqr2/len(data2.x) < 2)
183   
184       
185   
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