1 | """ |
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2 | Unit tests for extra models,PolymerexclVolume, RPA10Model |
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3 | The reference values are calculated on IGOR/NIST package(Oct.,2010) |
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4 | @author: JHJ Cho / UTK |
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5 | """ |
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6 | import unittest |
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7 | class TestPolymerExclVolume(unittest.TestCase): |
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8 | """ |
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9 | Unit tests for PolymerexclVolume (non-shape) function |
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10 | """ |
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11 | def setUp(self): |
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12 | from sans.models.PolymerExclVolume import PolymerExclVolume |
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13 | self.model= PolymerExclVolume() |
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14 | |
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15 | def test1D(self): |
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16 | # the values are from Igor pro calculation |
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17 | self.assertAlmostEqual(self.model.run(0.001), 0.998801, 6) |
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18 | self.assertAlmostEqual(self.model.run(0.21571), 0.00192041, 6) |
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19 | self.assertAlmostEqual(self.model.runXY(0.41959), 0.000261302, 6) |
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20 | |
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21 | class TestRPA10Case(unittest.TestCase): |
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22 | """ |
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23 | Unit tests for RPA10Model (non-shape) function |
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24 | """ |
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25 | def setUp(self): |
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26 | from sans.models.RPA10Model import RPA10Model |
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27 | self.model0= RPA10Model(0) |
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28 | self.model1= RPA10Model(1) |
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29 | self.model2= RPA10Model(2) |
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30 | self.model3= RPA10Model(3) |
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31 | self.model4= RPA10Model(4) |
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32 | self.model5= RPA10Model(5) |
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33 | self.model6= RPA10Model(6) |
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34 | self.model7= RPA10Model(7) |
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35 | self.model8= RPA10Model(8) |
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36 | self.model9= RPA10Model(9) |
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37 | |
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38 | def test1D(self): |
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39 | # the test values are from Igor pro calculation |
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40 | # case 0 |
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41 | # set default of vol fration consistent with IGor |
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42 | self.model0.setParam('Phic',0.5) |
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43 | self.model0.setParam('Phid',0.5) |
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44 | self.assertAlmostEqual(self.model0.run(0.001), 0.0716863, 6) |
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45 | self.assertAlmostEqual(self.model0.runXY(0.414955), 0.00396997, 6) |
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46 | # case 1 |
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47 | # set default of vol fration consistent with IGor |
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48 | self.model1.setParam('Phic',0.5) |
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49 | self.model1.setParam('Phid',0.5) |
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50 | self.assertAlmostEqual(self.model1.run(0.001), 0.00395016, 6) |
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51 | self.assertAlmostEqual(self.model1.runXY(0.414955), 0.00396735, 6) |
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52 | # case 2 |
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53 | # set default of vol fration consistent with IGor |
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54 | self.model2.setParam('Phib',0.33) |
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55 | self.model2.setParam('Phic',0.33) |
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56 | self.model2.setParam('Phid',0.33) |
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57 | self.assertAlmostEqual(self.model2.run(0.001), 0.0932902, 6) |
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58 | self.assertAlmostEqual(self.model2.runXY(0.414955), 0.00355736, 6) |
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59 | # case 3 |
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60 | # set default of vol fration consistent with IGor |
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61 | self.model3.setParam('Phib',0.33) |
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62 | self.model3.setParam('Phic',0.33) |
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63 | self.model3.setParam('Phid',0.33) |
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64 | self.assertAlmostEqual(self.model3.run(0.001), 0.026254, 6) |
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65 | self.assertAlmostEqual(self.model3.runXY(0.414955), 0.00355577, 6) |
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66 | # case 4 |
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67 | # set default of vol fration consistent with IGor |
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68 | self.model4.setParam('Phib',0.33) |
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69 | self.model4.setParam('Phic',0.33) |
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70 | self.model4.setParam('Phid',0.33) |
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71 | self.assertAlmostEqual(self.model4.run(0.001), 0.0067433, 6) |
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72 | self.assertAlmostEqual(self.model4.runXY(0.414955), 0.00355656, 6) |
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73 | # case 5 |
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74 | self.assertAlmostEqual(self.model5.run(0.001), 0.102636, 6) |
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75 | self.assertAlmostEqual(self.model5.runXY(0.414955), 0.00305812, 6) |
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76 | # case 6 |
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77 | self.assertAlmostEqual(self.model6.run(0.001), 0.0370357, 6) |
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78 | self.assertAlmostEqual(self.model6.runXY(0.414955), 0.00305708, 6) |
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79 | # case 7 |
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80 | self.assertAlmostEqual(self.model7.run(0.001), 0.0167775, 6) |
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81 | self.assertAlmostEqual(self.model7.runXY(0.414955), 0.00305743, 6) |
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82 | # case 8 |
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83 | self.assertAlmostEqual(self.model8.run(0.001), 0.0378691, 6) |
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84 | self.assertAlmostEqual(self.model8.runXY(0.414955), 0.00305743, 6) |
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85 | # case 9 |
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86 | self.assertAlmostEqual(self.model9.run(0.001), 0.00839376, 6) |
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87 | self.assertAlmostEqual(self.model9.runXY(0.414955), 0.00305777, 6) |
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88 | |
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89 | class TestBarBell(unittest.TestCase): |
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90 | """ |
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91 | Unit tests for BarBell function |
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92 | """ |
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93 | def setUp(self): |
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94 | from sans.models.BarBellModel import BarBellModel |
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95 | self.model= BarBellModel() |
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96 | |
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97 | def test1D(self): |
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98 | # the values are from Igor pro calculation |
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99 | self.assertAlmostEqual(self.model.run(0.001), 2864.7, 1) |
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100 | self.assertAlmostEqual(self.model.run(0.215268), 0.526351, 4) |
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101 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.0685892, 6) |
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102 | |
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103 | class TestCappedCylinder(unittest.TestCase): |
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104 | """ |
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105 | Unit tests for CappedCylinder function |
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106 | """ |
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107 | def setUp(self): |
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108 | from sans.models.CappedCylinderModel import CappedCylinderModel |
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109 | self.model= CappedCylinderModel() |
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110 | |
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111 | def test1D(self): |
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112 | # the values are from Igor pro calculation |
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113 | # the different digits are due to precision of q values |
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114 | self.assertAlmostEqual(self.model.run(0.001), 1424.72, 2) |
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115 | self.assertAlmostEqual(self.model.run(0.215268), 0.360736, 4) |
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116 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.110283, 5) |
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117 | |
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118 | class TestLamellarParaCrystal(unittest.TestCase): |
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119 | """ |
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120 | Unit tests for LamellarParaCystal function |
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121 | """ |
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122 | def setUp(self): |
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123 | from sans.models.LamellarPCrystalModel import LamellarPCrystalModel |
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124 | self.model= LamellarPCrystalModel() |
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125 | |
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126 | def test1D(self): |
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127 | self.model.setParam("pd_spacing", 0.2) |
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128 | # the values are from Igor pro calculation |
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129 | # the different digits are due to precision of q values |
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130 | self.assertAlmostEqual(self.model.run(0.001), 21829.3, 1) |
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131 | self.assertAlmostEqual(self.model.run(0.215268), 0.00487686, 6) |
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132 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.00062029, 6) |
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133 | |
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134 | |
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135 | class TestSCParaCrystal(unittest.TestCase): |
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136 | """ |
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137 | Unit tests for Simple Cubic ParaCrystal Model function |
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138 | """ |
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139 | def setUp(self): |
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140 | from sans.models.SCCrystalModel import SCCrystalModel |
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141 | self.model= SCCrystalModel() |
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142 | |
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143 | def test1D(self): |
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144 | # the values are from Igor pro calculation |
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145 | # the different digits are due to precision of q values |
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146 | self.assertAlmostEqual(self.model.run(0.001), 10.3038, 4) |
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147 | self.assertAlmostEqual(self.model.run(0.215268), 0.00714905, 6) |
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148 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.000313289, 6) |
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149 | |
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150 | class TestFCParaCrystal(unittest.TestCase): |
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151 | """ |
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152 | Unit tests for Face Centered Cubic ParaCrystal Model function |
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153 | """ |
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154 | def setUp(self): |
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155 | from sans.models.FCCrystalModel import FCCrystalModel |
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156 | self.model= FCCrystalModel() |
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157 | |
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158 | def test1D(self): |
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159 | self.model.setParam("d_factor", 0.05) |
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160 | # the values are from Igor pro calculation |
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161 | # the different digits are due to precision of q values |
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162 | self.assertAlmostEqual(self.model.run(0.001), 0.121017, 6) |
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163 | self.assertAlmostEqual(self.model.run(0.215268), 0.0107218, 6) |
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164 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.000443282, 6) |
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165 | |
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166 | class TestBCParaCrystal(unittest.TestCase): |
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167 | """ |
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168 | Unit tests for Body Centered Cubic ParaCrystal Model function |
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169 | """ |
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170 | def setUp(self): |
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171 | from sans.models.BCCrystalModel import BCCrystalModel |
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172 | self.model= BCCrystalModel() |
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173 | |
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174 | def test1D(self): |
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175 | # the values are from Igor pro calculation |
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176 | # the different digits are due to precision of q values |
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177 | self.assertAlmostEqual(self.model.run(0.001), 1.77267, 4) |
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178 | self.assertAlmostEqual(self.model.run(0.215268), 0.00927739, 6) |
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179 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.000406973, 6) |
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180 | |
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181 | |
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182 | class TestGuinierPorod(unittest.TestCase): |
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183 | """ |
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184 | Unit tests for GuinierPorod Model function |
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185 | """ |
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186 | def setUp(self): |
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187 | from sans.models.GuinierPorodModel import GuinierPorodModel |
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188 | self.model= GuinierPorodModel() |
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189 | |
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190 | def test1D(self): |
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191 | # the values are from Igor pro calculation |
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192 | # the different digits are due to precision of q values |
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193 | self.assertAlmostEqual(self.model.run(0.001), 995.112, 3) |
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194 | self.assertAlmostEqual(self.model.run(0.105363), 0.162904, 5) |
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195 | self.assertAlmostEqual(self.model.runXY(0.441623), 0.100854, 6) |
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196 | |
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197 | class TestGaussLorentzGel(unittest.TestCase): |
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198 | """ |
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199 | Unit tests for GuinierPorod Model function |
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200 | """ |
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201 | def setUp(self): |
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202 | from sans.models.GaussLorentzGelModel import GaussLorentzGelModel |
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203 | self.model= GaussLorentzGelModel() |
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204 | |
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205 | def test1D(self): |
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206 | # the values are from Igor pro calculation |
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207 | # the different digits are due to precision of q values |
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208 | self.assertAlmostEqual(self.model.run(0.001), 149.481, 3) |
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209 | self.assertAlmostEqual(self.model.run(0.105363), 9.1903, 4) |
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210 | self.assertAlmostEqual(self.model.runXY(0.441623), 0.632811, 5) |
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211 | |
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212 | |
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213 | class TestTwoPowerLaw(unittest.TestCase): |
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214 | """ |
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215 | Unit tests for TwoPowerLaw Model function |
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216 | """ |
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217 | def setUp(self): |
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218 | from sans.models.TwoPowerLawModel import TwoPowerLawModel |
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219 | self.model= TwoPowerLawModel() |
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220 | |
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221 | def test1D(self): |
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222 | # the values are from Igor pro calculation |
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223 | # the different digits are due to precision of q values |
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224 | self.assertEqual(self.model.run(0.001), 1000) |
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225 | self.assertAlmostEqual(self.model.run(0.150141), 0.125945, 5) |
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226 | self.assertAlmostEqual(self.model.runXY(0.442528), 0.00166884, 7) |
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227 | |
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228 | class TestTwoLorentzian(unittest.TestCase): |
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229 | """ |
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230 | Unit tests for TwoLorentzian Model function |
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231 | """ |
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232 | def setUp(self): |
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233 | from sans.models.TwoLorentzianModel import TwoLorentzianModel |
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234 | self.model= TwoLorentzianModel() |
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235 | |
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236 | def test1D(self): |
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237 | # the values are from Igor pro calculation |
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238 | # the different digits are due to precision of q values |
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239 | self.assertAlmostEqual(self.model.run(0.001), 11.0899, 3) |
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240 | self.assertAlmostEqual(self.model.run(0.150141), 0.410245, 5) |
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241 | self.assertAlmostEqual(self.model.runXY(0.442528), 0.148699, 6) |
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242 | |
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243 | |
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244 | class TestCorrLengthLaw(unittest.TestCase): |
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245 | """ |
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246 | Unit tests for CorrLength Model function |
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247 | """ |
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248 | def setUp(self): |
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249 | from sans.models.CorrLengthModel import CorrLengthModel |
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250 | self.model= CorrLengthModel() |
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251 | |
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252 | def test1D(self): |
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253 | # the values are from Igor pro calculation |
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254 | # the different digits are due to precision of q values |
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255 | self.assertAlmostEqual(self.model.run(0.001), 1010.08, 1) |
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256 | self.assertAlmostEqual(self.model.run(0.150141), 0.274645, 5) |
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257 | self.assertAlmostEqual(self.model.runXY(0.442528), 0.120396, 6) |
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258 | |
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259 | |
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260 | class TestBroadPeak(unittest.TestCase): |
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261 | """ |
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262 | Unit tests for BroadPeak Model function |
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263 | """ |
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264 | def setUp(self): |
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265 | from sans.models.BroadPeakModel import BroadPeakModel |
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266 | self.model= BroadPeakModel() |
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267 | |
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268 | def test1D(self): |
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269 | # the values are from Igor pro calculation |
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270 | # the different digits are due to precision of q values |
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271 | self.assertAlmostEqual(self.model.run(0.001), 10000.5, 1) |
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272 | self.assertAlmostEqual(self.model.run(0.1501412), 1.47557, 5) |
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273 | self.assertAlmostEqual(self.model.runXY(0.4425284), 0.134093, 6) |
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274 | |
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275 | class TestFractalCoreShell(unittest.TestCase): |
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276 | """ |
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277 | Unit tests for FractalCoreShell Model function |
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278 | """ |
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279 | def setUp(self): |
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280 | from sans.models.FractalCoreShellModel import FractalCoreShellModel |
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281 | self.model= FractalCoreShellModel() |
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282 | |
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283 | def test1D(self): |
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284 | #self.model.setParam('radius.width', 2.0) |
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285 | # the values are from Igor pro calculation |
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286 | # the different digits are due to precision of q values |
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287 | self.assertAlmostEqual(self.model.run(0.001), 273.742, 3) |
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288 | self.assertAlmostEqual(self.model.run(0.1501412), 0.040079, 6) |
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289 | self.assertAlmostEqual(self.model.runXY(0.4425284), 0.00141167, 6) |
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290 | |
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291 | if __name__ == '__main__': |
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292 | unittest.main() |
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