| [9e85792] | 1 | """ |
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| 2 | Unit tests for fitting module |
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| 3 | """ |
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| 4 | import unittest |
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| 5 | from sans.guitools.plottables import Theory1D |
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| 6 | from sans.guitools.plottables import Data1D |
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| 7 | from sans.fit.ScipyFitting import Parameter |
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| 8 | import math |
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| 9 | class testFitModule(unittest.TestCase): |
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| 10 | |
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| 11 | def test2models2dataonconstraint(self): |
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| [792db7d5] | 12 | """ test fitting for two set of data and one model with 2 constraint""" |
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| [9e85792] | 13 | from sans.fit.Loader import Load |
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| 14 | load= Load() |
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| 15 | #Load the first set of data |
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| 16 | load.set_filename("testdata1.txt") |
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| 17 | load.set_values() |
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| 18 | data1 = Data1D(x=[], y=[],dx=None, dy=None) |
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| 19 | load.load_data(data1) |
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| 20 | |
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| 21 | #Load the second set of data |
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| 22 | load.set_filename("testdata2.txt") |
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| 23 | load.set_values() |
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| 24 | data2 = Data1D(x=[], y=[],dx=None, dy=None) |
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| 25 | load.load_data(data2) |
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| 26 | |
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| 27 | #Importing the Fit module |
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| 28 | from sans.fit.Fitting import Fit |
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| [4dd63eb] | 29 | fitter= Fit('park') |
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| [9e85792] | 30 | # Receives the type of model for the fitting |
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| 31 | from sans.guitools.LineModel import LineModel |
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| 32 | model1 = LineModel() |
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| 33 | model2 = LineModel() |
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| [4dd63eb] | 34 | |
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| [9e85792] | 35 | #Do the fit |
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| [792db7d5] | 36 | |
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| [4dd63eb] | 37 | fitter.set_model(model1,"M1",1, {'A':1,'B':2}) |
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| 38 | fitter.set_data(data1,1) |
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| 39 | |
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| 40 | fitter.set_model(model2,"M2",2, {'A':'M1.A','B':'M1.B'}) |
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| 41 | fitter.set_data(data2,2) |
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| [9e85792] | 42 | |
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| 43 | |
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| [4dd63eb] | 44 | chisqr2, out2, cov2= fitter.fit() |
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| [792db7d5] | 45 | print "chisqr2",chisqr2 |
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| 46 | print "out2", out2 |
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| 47 | print " cov2", cov2 |
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| 48 | print chisqr2/len(data1.x) |
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| 49 | |
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| 50 | self.assert_(math.fabs(out2[1]-2.5)/math.sqrt(cov2[1][1]) < 2) |
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| 51 | self.assert_(math.fabs(out2[0]-4.0)/math.sqrt(cov2[0][0]) < 2) |
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| 52 | #self.assert_(chisqr2/len(data1.x) < 2) |
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| 53 | #self.assert_(chisqr2/len(data2.x) < 2) |
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| [202f93a] | 54 | def testmodel1data1param1(self): |
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| 55 | """ test fitting for two set of data and one model with 2 constraint""" |
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| 56 | from sans.fit.Loader import Load |
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| 57 | load= Load() |
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| 58 | #Load the first set of data |
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| 59 | load.set_filename("testdata1.txt") |
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| 60 | load.set_values() |
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| 61 | data1 = Data1D(x=[], y=[],dx=None, dy=None) |
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| 62 | load.load_data(data1) |
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| 63 | |
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| 64 | #Load the second set of data |
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| 65 | load.set_filename("testdata2.txt") |
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| 66 | load.set_values() |
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| 67 | data2 = Data1D(x=[], y=[],dx=None, dy=None) |
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| 68 | load.load_data(data2) |
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| 69 | |
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| 70 | #Importing the Fit module |
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| 71 | from sans.fit.Fitting import Fit |
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| 72 | fitter= Fit('park') |
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| 73 | # Receives the type of model for the fitting |
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| 74 | from sans.guitools.LineModel import LineModel |
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| 75 | model1 = LineModel() |
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| 76 | |
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| 77 | |
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| 78 | #Do the fit |
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| 79 | |
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| 80 | fitter.set_model(model1,"M1",1, {'A':1}) |
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| 81 | fitter.set_data(data1,1) |
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| 82 | |
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| 83 | |
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| 84 | |
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| 85 | chisqr2, out2, cov2 = fitter.fit() |
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| 86 | print "chisqr2",chisqr2 |
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| 87 | print "out2", out2 |
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| 88 | print " cov2", cov2 |
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| 89 | print chisqr2/len(data1.x) |
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| 90 | |
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| 91 | self.assert_(math.fabs(out2[1]-2.5)/math.sqrt(cov2[1][1]) < 2) |
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| 92 | self.assert_(math.fabs(out2[0]-4.0)/math.sqrt(cov2[0][0]) < 2) |
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| 93 | #self.assert_(chisqr2/len(data1.x) < 2) |
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| 94 | #self.assert_(chisqr2/len(data2.x) < 2) |
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| 95 | |
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