[ca6d914] | 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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[5fcfca4] | 5 | #from sans.guitools.plottables import Theory1D |
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| 6 | #from sans.guitools.plottables import Data1D |
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| 7 | from danse.common.plottools.plottables import Data1D,Theory1D |
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[385d464] | 8 | from sans.fit.AbstractFitEngine import Data, Model,FitData1D |
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[ca6d914] | 9 | import math |
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[822f97e] | 10 | from sans.fit.Fitting import Fit |
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| 11 | from DataLoader.loader import Loader |
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| 12 | |
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[ca6d914] | 13 | class testFitModule(unittest.TestCase): |
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| 14 | """ test fitting """ |
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[822f97e] | 15 | |
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| 16 | def test_scipy(self): |
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| 17 | """ Simple cylinder model fit (scipy) """ |
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| 18 | |
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| 19 | out=Loader().load("cyl_400_20.txt") |
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| 20 | data1 = Data1D(x=out.x, y=out.y, dx=out.dx, dy=out.y) |
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| 21 | |
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[ca6d914] | 22 | fitter = Fit('scipy') |
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| 23 | # Receives the type of model for the fitting |
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| 24 | from sans.models.CylinderModel import CylinderModel |
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| 25 | model1 = CylinderModel() |
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[822f97e] | 26 | model1.setParam('contrast', 1) |
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[385d464] | 27 | #data = Data(sans_data=data1) |
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| 28 | data = FitData1D(data1) |
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[822f97e] | 29 | model = Model(model1) |
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| 30 | |
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| 31 | pars1 =['length','radius','scale'] |
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| 32 | fitter.set_data(data,1) |
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[8bbab51] | 33 | model.set(scale=1e-10) |
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[822f97e] | 34 | fitter.set_model(model,1,pars1) |
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[8bbab51] | 35 | fitter.select_problem_for_fit(Uid=1,value=1) |
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[822f97e] | 36 | result1 = fitter.fit() |
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| 37 | |
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| 38 | self.assert_(result1) |
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| 39 | self.assertTrue(len(result1.pvec)>0 or len(result1.pvec)==0 ) |
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| 40 | self.assertTrue(len(result1.stderr)> 0 or len(result1.stderr)==0) |
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| 41 | |
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| 42 | self.assertTrue( math.fabs(result1.pvec[0]-400.0)/3.0 < result1.stderr[0] ) |
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| 43 | self.assertTrue( math.fabs(result1.pvec[1]-20.0)/3.0 < result1.stderr[1] ) |
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| 44 | self.assertTrue( math.fabs(result1.pvec[2]-9.0e-12)/3.0 < result1.stderr[2] ) |
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| 45 | self.assertTrue( result1.fitness < 1.0 ) |
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| 46 | |
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| 47 | def test_park(self): |
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| 48 | """ Simple cylinder model fit (park) """ |
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| 49 | |
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| 50 | out=Loader().load("cyl_400_20.txt") |
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| 51 | data1 = Data1D(x=out.x, y=out.y, dx=out.dx, dy=out.y) |
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| 52 | |
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| 53 | fitter = Fit('park') |
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| 54 | # Receives the type of model for the fitting |
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| 55 | from sans.models.CylinderModel import CylinderModel |
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| 56 | model1 = CylinderModel() |
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[8bbab51] | 57 | |
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[385d464] | 58 | #data = Data(sans_data=data1) |
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| 59 | data = FitData1D(data1) |
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[ca6d914] | 60 | model = Model(model1) |
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| 61 | |
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| 62 | pars1 =['length','radius','scale'] |
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| 63 | fitter.set_data(data,1) |
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[8bbab51] | 64 | model.set(contrast= 1) |
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| 65 | model.set(scale=1e-10) |
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[916a15f] | 66 | fitter.set_model(model,1,pars1) |
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[8bbab51] | 67 | fitter.select_problem_for_fit(Uid=1,value=1) |
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[ca6d914] | 68 | result1 = fitter.fit() |
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[822f97e] | 69 | |
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[ca6d914] | 70 | self.assert_(result1) |
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| 71 | self.assertTrue(len(result1.pvec)>0 or len(result1.pvec)==0 ) |
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| 72 | self.assertTrue(len(result1.stderr)> 0 or len(result1.stderr)==0) |
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[822f97e] | 73 | |
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| 74 | print result1.pvec[0]-400.0, result1.pvec[0] |
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| 75 | print math.fabs(result1.pvec[0]-400.0)/3.0 |
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| 76 | self.assertTrue( math.fabs(result1.pvec[0]-400.0)/3.0 < result1.stderr[0] ) |
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| 77 | self.assertTrue( math.fabs(result1.pvec[1]-20.0)/3.0 < result1.stderr[1] ) |
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| 78 | self.assertTrue( math.fabs(result1.pvec[2]-9.0e-12)/3.0 < result1.stderr[2] ) |
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| 79 | self.assertTrue( result1.fitness < 1.0 ) |
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| 80 | |
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| 81 | def test_park2(self): |
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| 82 | """ Simultaneous cylinder model fit (park) """ |
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| 83 | |
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| 84 | out=Loader().load("cyl_400_20.txt") |
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| 85 | data1 = Data1D(x=out.x, y=out.y, dx=out.dx, dy=out.y) |
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| 86 | |
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| 87 | out2=Loader().load("cyl_400_40.txt") |
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| 88 | data2 = Data1D(x=out2.x, y=out2.y, dx=out2.dx, dy=out2.y) |
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| 89 | |
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| 90 | fitter = Fit('park') |
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| 91 | # Receives the type of model for the fitting |
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| 92 | from sans.models.CylinderModel import CylinderModel |
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| 93 | cyl1 = CylinderModel() |
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| 94 | cyl1.name = "C1" |
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[8bbab51] | 95 | |
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[385d464] | 96 | #data1 = Data(sans_data=data1) |
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| 97 | data1 = FitData1D(data1) |
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[822f97e] | 98 | model1 = Model(cyl1) |
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[8bbab51] | 99 | model1.set(contrast=1) |
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| 100 | model1.set(scale= 1e-10) |
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[822f97e] | 101 | fitter.set_data(data1,1) |
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| 102 | fitter.set_model(model1, 1, ['length','radius','scale']) |
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| 103 | |
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| 104 | cyl2 = CylinderModel() |
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| 105 | cyl2.name = "C2" |
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[8bbab51] | 106 | |
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[385d464] | 107 | #data2 = Data(sans_data=data2) |
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| 108 | data2 = FitData1D(data2) |
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[822f97e] | 109 | # This is wrong. We should not store string as |
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| 110 | # parameter values |
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| 111 | # Why not inherit our AbstracFitEngine.Model from Park.Model? |
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| 112 | |
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| 113 | #cyl2.setParam('length', 'C1.length') |
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| 114 | #print "read back:", cyl2.getParam('length') |
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| 115 | |
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| 116 | model2 = Model(cyl2) |
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| 117 | model2.set(length='C1.length') |
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[8bbab51] | 118 | model2.set(contrast=1) |
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| 119 | model2.set(scale= 1e-10) |
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[822f97e] | 120 | fitter.set_data(data2,2) |
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| 121 | fitter.set_model(model2, 2, ['radius','scale']) |
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[8bbab51] | 122 | fitter.select_problem_for_fit(Uid=1,value=1) |
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| 123 | fitter.select_problem_for_fit(Uid=2,value=1) |
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[822f97e] | 124 | result1 = fitter.fit() |
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| 125 | |
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| 126 | self.assert_(result1) |
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| 127 | self.assertTrue(len(result1.pvec)>0 or len(result1.pvec)==0 ) |
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| 128 | self.assertTrue(len(result1.stderr)> 0 or len(result1.stderr)==0) |
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| 129 | |
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| 130 | for par in result1.parameters: |
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| 131 | if par.name=='C1.length': |
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| 132 | print par.name, par.value |
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| 133 | self.assertTrue( math.fabs(par.value-400.0)/3.0 < par.stderr ) |
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| 134 | elif par.name=='C1.radius': |
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| 135 | print par.name, par.value |
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| 136 | self.assertTrue( math.fabs(par.value-20.0)/3.0 < par.stderr ) |
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| 137 | elif par.name=='C2.radius': |
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| 138 | print par.name, par.value |
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| 139 | self.assertTrue( math.fabs(par.value-40.0)/3.0 < par.stderr ) |
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| 140 | elif par.name=='C1.scale': |
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| 141 | print par.name, par.value |
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| 142 | self.assertTrue( math.fabs(par.value-9.0e-12)/3.0 < par.stderr ) |
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| 143 | elif par.name=='C2.scale': |
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| 144 | print par.name, par.value |
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| 145 | self.assertTrue( math.fabs(par.value-9.0e-12)/3.0 < par.stderr ) |
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| 146 | |
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[ca6d914] | 147 | |
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| 148 | |
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