1 | import sys |
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2 | import unittest |
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3 | from PyQt4 import QtGui |
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4 | |
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5 | from sas.qtgui.Plotting.PlotterData import Data1D |
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6 | from sas.qtgui.Plotting.PlotterData import Data2D |
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7 | |
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8 | from UnitTesting.TestUtils import WarningTestNotImplemented |
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9 | |
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10 | from sasmodels import generate |
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11 | from sasmodels import modelinfo |
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12 | |
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13 | # Tested module |
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14 | from sas.qtgui.Perspectives.Fitting import FittingUtilities |
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15 | |
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16 | class FittingUtilitiesTest(unittest.TestCase): |
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17 | '''Test the Fitting Utilities functions''' |
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18 | def setUp(self): |
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19 | '''Empty''' |
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20 | pass |
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21 | |
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22 | def tearDown(self): |
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23 | '''Empty''' |
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24 | pass |
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25 | |
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26 | def testReplaceShellName(self): |
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27 | """ |
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28 | Test the utility function for string manipulation |
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29 | """ |
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30 | param_name = "test [123]" |
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31 | value = "replaced" |
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32 | result = FittingUtilities.replaceShellName(param_name, value) |
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33 | |
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34 | self.assertEqual(result, "test replaced") |
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35 | |
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36 | # Assert! |
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37 | param_name = "no brackets" |
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38 | with self.assertRaises(AssertionError): |
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39 | result = FittingUtilities.replaceShellName(param_name, value) |
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40 | |
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41 | |
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42 | def testGetIterParams(self): |
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43 | """ |
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44 | Assure the right multishell parameters are returned |
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45 | """ |
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46 | # Use a single-shell parameter |
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47 | model_name = "barbell" |
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48 | kernel_module = generate.load_kernel_module(model_name) |
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49 | barbell_parameters = modelinfo.make_parameter_table(getattr(kernel_module, 'parameters', [])) |
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50 | |
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51 | params = FittingUtilities.getIterParams(barbell_parameters) |
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52 | # returns empty list |
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53 | self.assertEqual(params, []) |
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54 | |
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55 | # Use a multi-shell parameter |
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56 | model_name = "core_multi_shell" |
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57 | kernel_module = generate.load_kernel_module(model_name) |
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58 | multishell_parameters = modelinfo.make_parameter_table(getattr(kernel_module, 'parameters', [])) |
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59 | |
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60 | params = FittingUtilities.getIterParams(multishell_parameters) |
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61 | # returns a non-empty list |
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62 | self.assertNotEqual(params, []) |
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63 | self.assertIn('sld', str(params)) |
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64 | self.assertIn('thickness', str(params)) |
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65 | |
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66 | def testGetMultiplicity(self): |
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67 | """ |
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68 | Assure more multishell parameters are evaluated correctly |
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69 | """ |
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70 | # Use a single-shell parameter |
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71 | model_name = "barbell" |
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72 | kernel_module = generate.load_kernel_module(model_name) |
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73 | barbell_parameters = modelinfo.make_parameter_table(getattr(kernel_module, 'parameters', [])) |
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74 | |
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75 | param_name, param_length = FittingUtilities.getMultiplicity(barbell_parameters) |
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76 | # returns nothing |
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77 | self.assertEqual(param_name, "") |
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78 | self.assertEqual(param_length, 0) |
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79 | |
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80 | # Use a multi-shell parameter |
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81 | model_name = "core_multi_shell" |
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82 | kernel_module = generate.load_kernel_module(model_name) |
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83 | multishell_parameters = modelinfo.make_parameter_table(getattr(kernel_module, 'parameters', [])) |
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84 | |
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85 | param_name, param_length = FittingUtilities.getMultiplicity(multishell_parameters) |
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86 | |
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87 | self.assertEqual(param_name, "n") |
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88 | self.assertEqual(param_length, 10) |
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89 | |
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90 | def testAddParametersToModel(self): |
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91 | """ |
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92 | Checks the QModel update from Sasmodel parameters |
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93 | """ |
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94 | # Use a single-shell parameter |
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95 | model_name = "barbell" |
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96 | kernel_module = generate.load_kernel_module(model_name) |
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97 | barbell_parameters = modelinfo.make_parameter_table(getattr(kernel_module, 'parameters', [])) |
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98 | |
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99 | params = FittingUtilities.addParametersToModel(barbell_parameters, True) |
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100 | |
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101 | # Test the resulting model |
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102 | self.assertEqual(len(params), 7) |
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103 | self.assertEqual(len(params[0]), 5) |
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104 | self.assertTrue(params[0][0].isCheckable()) |
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105 | self.assertEqual(params[0][0].text(), "sld") |
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106 | self.assertEqual(params[1][0].text(), "sld_solvent") |
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107 | |
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108 | # Use a multi-shell parameter to see that the method includes shell params |
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109 | model_name = "core_multi_shell" |
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110 | kernel_module = generate.load_kernel_module(model_name) |
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111 | multi_parameters = modelinfo.make_parameter_table(getattr(kernel_module, 'parameters', [])) |
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112 | |
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113 | params = FittingUtilities.addParametersToModel(multi_parameters, False) |
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114 | |
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115 | # Test the resulting model |
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116 | self.assertEqual(len(params), 3) |
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117 | self.assertEqual(len(params[0]), 5) |
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118 | self.assertTrue(params[0][0].isCheckable()) |
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119 | self.assertEqual(params[0][0].text(), "sld_core") |
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120 | self.assertEqual(params[1][0].text(), "radius") |
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121 | |
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122 | def testAddSimpleParametersToModel(self): |
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123 | """ |
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124 | Checks the QModel update from Sasmodel parameters - no polydisp |
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125 | """ |
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126 | # Use a multi-shell parameter to see that the method doesn't include shells |
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127 | model_name = "core_multi_shell" |
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128 | kernel_module = generate.load_kernel_module(model_name) |
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129 | multi_parameters = modelinfo.make_parameter_table(getattr(kernel_module, 'parameters', [])) |
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130 | |
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131 | params = FittingUtilities.addParametersToModel(multi_parameters, True) |
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132 | |
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133 | # Test the resulting model |
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134 | self.assertEqual(len(params), 3) |
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135 | self.assertEqual(len(params[0]), 5) |
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136 | self.assertTrue(params[0][0].isCheckable()) |
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137 | self.assertEqual(params[0][0].text(), "sld_core") |
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138 | self.assertEqual(params[1][0].text(), "radius") |
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139 | |
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140 | def testAddCheckedListToModel(self): |
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141 | """ |
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142 | Test for inserting a checkboxed item into a QModel |
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143 | """ |
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144 | model = QtGui.QStandardItemModel() |
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145 | params = ["row1", "row2", "row3"] |
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146 | |
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147 | FittingUtilities.addCheckedListToModel(model, params) |
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148 | |
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149 | # Check the model |
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150 | self.assertEqual(model.rowCount(), 1) |
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151 | self.assertTrue(model.item(0).isCheckable()) |
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152 | self.assertEqual(model.item(0, 0).text(), params[0]) |
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153 | self.assertEqual(model.item(0, 1).text(), params[1]) |
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154 | self.assertEqual(model.item(0, 2).text(), params[2]) |
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155 | |
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156 | def testAddShellsToModel(self): |
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157 | """ |
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158 | Test for inserting a list of QItems into a model |
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159 | """ |
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160 | # Use a multi-shell parameter to see that the method doesn't include shells |
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161 | model_name = "core_multi_shell" |
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162 | kernel_module = generate.load_kernel_module(model_name) |
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163 | multi_parameters = modelinfo.make_parameter_table(getattr(kernel_module, 'parameters', [])) |
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164 | |
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165 | model = QtGui.QStandardItemModel() |
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166 | |
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167 | index = 2 |
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168 | FittingUtilities.addShellsToModel(multi_parameters, model, index) |
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169 | # There should be index*len(multi_parameters) new rows |
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170 | self.assertEqual(model.rowCount(), 4) |
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171 | |
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172 | model = QtGui.QStandardItemModel() |
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173 | index = 5 |
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174 | FittingUtilities.addShellsToModel(multi_parameters, model, index) |
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175 | self.assertEqual(model.rowCount(), 10) |
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176 | |
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177 | self.assertEqual(model.item(1).child(0).text(), "Polydispersity") |
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178 | self.assertEqual(model.item(1).child(0).child(0).text(), "Distribution") |
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179 | self.assertEqual(model.item(1).child(0).child(0,1).text(), "40.0") |
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180 | |
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181 | def testCalculate1DChi2(self): |
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182 | """ |
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183 | Test the chi2 calculator for Data1D |
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184 | """ |
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185 | reference_data = Data1D(x=[0.1, 0.2], y=[0.0, 0.0]) |
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186 | |
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187 | # 1. identical data |
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188 | current_data = Data1D(x=[0.1, 0.2], y=[0.0, 0.0]) |
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189 | |
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190 | chi = FittingUtilities.calculateChi2(reference_data, current_data) |
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191 | |
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192 | # Should be zero |
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193 | self.assertAlmostEqual(chi, 0.0, 8) |
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194 | |
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195 | # 2. far data |
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196 | current_data = Data1D(x=[0.1, 0.2], y=[200.0, 150.0]) |
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197 | |
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198 | chi = FittingUtilities.calculateChi2(reference_data, current_data) |
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199 | |
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200 | # Should not be zero |
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201 | self.assertAlmostEqual(chi, 31250.0, 8) |
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202 | |
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203 | # 3. Wrong data |
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204 | current_data = Data1D(x=[0.1, 0.2], y=[200.0, 150.0, 200.0]) |
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205 | chi = FittingUtilities.calculateChi2(reference_data, current_data) |
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206 | # Should be None |
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207 | self.assertIsNone(chi) |
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208 | |
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209 | def testCalculate2DChi2(self): |
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210 | """ |
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211 | Test the chi2 calculator for Data2D |
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212 | """ |
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213 | reference_data = Data2D(image=[1.0, 2.0, 3.0], |
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214 | err_image=[0.01, 0.02, 0.03], |
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215 | qx_data=[0.1, 0.2, 0.3], |
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216 | qy_data=[0.1, 0.2, 0.3]) |
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217 | |
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218 | # 1. identical data |
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219 | current_data = Data2D(image=[1.0, 2.0, 3.0], |
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220 | err_image=[0.01, 0.02, 0.03], |
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221 | qx_data=[0.1, 0.2, 0.3], |
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222 | qy_data=[0.1, 0.2, 0.3]) |
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223 | |
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224 | chi = FittingUtilities.calculateChi2(reference_data, current_data) |
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225 | |
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226 | # Should be zero |
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227 | self.assertAlmostEqual(chi, 0.0, 8) |
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228 | |
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229 | # 2. far data |
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230 | current_data = Data2D(image=[100.0, 200.0, 300.0], |
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231 | err_image=[1.01, 2.02, 3.03], |
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232 | qx_data=[0.1, 0.2, 0.3], |
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233 | qy_data=[100.0, 200., 300.]) |
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234 | |
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235 | chi = FittingUtilities.calculateChi2(reference_data, current_data) |
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236 | |
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237 | # Should not be zero |
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238 | self.assertAlmostEqual(chi, 9607.88, 2) |
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239 | |
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240 | # 3. Wrong data |
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241 | current_data = Data2D(image=[1.0, 2.0, 3.0], |
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242 | err_image=[0.01, 0.02], |
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243 | qx_data=[0.1, 0.2], |
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244 | qy_data=[0.1, 0.2, 0.3]) |
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245 | # Should throw |
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246 | with self.assertRaises(ValueError): |
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247 | chi = FittingUtilities.calculateChi2(reference_data, current_data) |
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248 | |
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249 | if __name__ == "__main__": |
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250 | unittest.main() |
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