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 | import logging |
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10 | logging.basicConfig(level=logging.DEBUG, |
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11 | format='%(asctime)s %(levelname)s %(message)s', |
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12 | filename='test_log.txt', |
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13 | filemode='w') |
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14 | class testFitModule(unittest.TestCase): |
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15 | def test0(self): |
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16 | """ test fitting for two set of data and 2 models no constraint""" |
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17 | from sans.fit.Loader import Load |
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18 | load= Load() |
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19 | #Load the first set of data |
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20 | load.set_filename("testdata1.txt") |
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21 | load.set_values() |
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22 | data1 = Data1D(x=[], y=[],dx=None, dy=None) |
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23 | load.load_data(data1) |
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24 | |
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25 | #Load the second set of data |
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26 | load.set_filename("testdata2.txt") |
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27 | load.set_values() |
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28 | data2 = Data1D(x=[], y=[],dx=None, dy=None) |
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29 | load.load_data(data2) |
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30 | |
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31 | #Importing the Fit module |
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32 | from sans.fit.Fitting import Fit |
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33 | fitter= Fit('park') |
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34 | # Receives the type of model for the fitting |
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35 | from sans.guitools.LineModel import LineModel |
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36 | model1 = LineModel() |
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37 | model2 = LineModel() |
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38 | |
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39 | #Do the fit |
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40 | model1.setParam( 'A', 1) |
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41 | model1.setParam( 'B', 2) |
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42 | fitter.set_model(model1,"M1",1, ['A','B']) |
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43 | fitter.set_data(data1,1) |
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44 | |
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45 | model2.setParam( 'A', 1) |
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46 | model2.setParam( 'B', 1) |
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47 | fitter.set_model(model2,"M2",2, ['A','B']) |
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48 | fitter.set_data(data2,2) |
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49 | |
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50 | |
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51 | chisqr1, out1, cov1,result= fitter.fit() |
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52 | print "chisqr1",chisqr1 |
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53 | print "out1", out1 |
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54 | print " cov1", cov1 |
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55 | self.assert_(chisqr1) |
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56 | |
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57 | def test01(self): |
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58 | """ test fitting for two set of data and 2 models and 2 constraints set on on model""" |
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59 | from sans.fit.Loader import Load |
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60 | load= Load() |
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61 | #Load the first set of data |
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62 | load.set_filename("testdata1.txt") |
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63 | load.set_values() |
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64 | data1 = Data1D(x=[], y=[],dx=None, dy=None) |
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65 | load.load_data(data1) |
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66 | |
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67 | #Load the second set of data |
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68 | load.set_filename("testdata2.txt") |
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69 | load.set_values() |
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70 | data2 = Data1D(x=[], y=[],dx=None, dy=None) |
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71 | load.load_data(data2) |
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72 | |
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73 | #Importing the Fit module |
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74 | from sans.fit.Fitting import Fit |
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75 | fitter= Fit('park') |
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76 | # Receives the type of model for the fitting |
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77 | from sans.guitools.LineModel import LineModel |
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78 | model1 = LineModel() |
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79 | model2 = LineModel() |
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80 | |
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81 | #Do the fit |
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82 | model1.setParam( 'A', 1) |
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83 | model1.setParam( 'B', 1) |
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84 | fitter.set_model(model1,"M1",1, ['A','B']) |
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85 | fitter.set_data(data1,1) |
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86 | |
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87 | model2.setParam( 'A','M1.A') |
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88 | model2.setParam( 'B', 'M1.B') |
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89 | fitter.set_model(model2,"M2",2, ['A','B']) |
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90 | fitter.set_data(data2,2) |
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91 | |
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92 | |
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93 | chisqr1, out1, cov1= fitter.fit() |
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94 | print "chisqr1",chisqr1 |
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95 | print "out1", out1 |
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96 | print " cov1", cov1 |
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97 | self.assert_(chisqr1) |
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98 | |
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99 | |
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100 | |
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101 | def test1(self): |
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102 | """ test fitting for two set of data 2 model on constraint set on 1 model""" |
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103 | from sans.fit.Loader import Load |
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104 | load= Load() |
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105 | #Load the first set of data |
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106 | load.set_filename("testdata_line.txt") |
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107 | load.set_values() |
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108 | data1 = Data1D(x=[], y=[],dx=None, dy=None) |
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109 | load.load_data(data1) |
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110 | |
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111 | #Load the second set of data |
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112 | load.set_filename("testdata_line1.txt") |
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113 | load.set_values() |
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114 | data2 = Data1D(x=[], y=[],dx=None, dy=None) |
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115 | load.load_data(data2) |
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116 | |
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117 | #Importing the Fit module |
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118 | from sans.fit.Fitting import Fit |
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119 | fitter= Fit('park') |
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120 | # Receives the type of model for the fitting |
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121 | from sans.guitools.LineModel import LineModel |
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122 | model1 = LineModel() |
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123 | model2 = LineModel() |
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124 | |
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125 | #Do the fit |
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126 | model1.setParam( 'A',1) |
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127 | model1.setParam( 'B',1) |
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128 | fitter.set_model(model1,"M1",1, ['A','B']) |
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129 | fitter.set_data(data1,1) |
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130 | |
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131 | model2.setParam( 'A','M1.A') |
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132 | model2.setParam( 'B', 1) |
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133 | fitter.set_model(model2,"M2",2, ['A','B']) |
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134 | fitter.set_data(data2,2) |
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135 | |
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136 | |
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137 | chisqr1, out1, cov1= fitter.fit() |
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138 | print "chisqr1",chisqr1 |
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139 | print "out1", out1 |
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140 | print " cov1", cov1 |
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141 | self.assert_(chisqr1) |
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142 | |
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143 | |
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144 | def test2(self): |
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145 | """ test fitting for two data 2 model not equal nombre of parameters fit""" |
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146 | from sans.fit.Loader import Load |
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147 | load= Load() |
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148 | #Load the first set of data |
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149 | load.set_filename("testdata_line.txt") |
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150 | load.set_values() |
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151 | data1 = Data1D(x=[], y=[],dx=None, dy=None) |
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152 | load.load_data(data1) |
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153 | |
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154 | #Load the second set of data |
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155 | load.set_filename("testdata_line1.txt") |
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156 | load.set_values() |
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157 | data2 = Data1D(x=[], y=[],dx=None, dy=None) |
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158 | load.load_data(data2) |
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159 | |
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160 | #Importing the Fit module |
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161 | from sans.fit.Fitting import Fit |
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162 | fitter= Fit('park') |
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163 | # Receives the type of model for the fitting |
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164 | from sans.guitools.LineModel import LineModel |
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165 | model1 = LineModel() |
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166 | model2 = LineModel() |
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167 | |
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168 | #Do the fit |
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169 | model1.setParam( 'A',1) |
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170 | model1.setParam( 'B',1) |
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171 | fitter.set_model(model1,"M1",1, ['A','B']) |
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172 | fitter.set_data(data1,1) |
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173 | |
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174 | model2.setParam( 'A',1) |
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175 | |
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176 | fitter.set_model(model2,"M2",2, ['A']) |
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177 | fitter.set_data(data2,2) |
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178 | |
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179 | |
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180 | chisqr1, out1, cov1= fitter.fit() |
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181 | print "chisqr1",chisqr1 |
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182 | print "out1", out1 |
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183 | print " cov1", cov1 |
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184 | self.assert_(chisqr1) |
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185 | |
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186 | |
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187 | |
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188 | |
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189 | |
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190 | |
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