1 | """ |
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2 | Unit tests for dispersion functionality of |
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3 | C++ model classes |
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4 | """ |
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5 | |
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6 | import unittest, math, numpy |
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7 | |
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8 | class TestCylinder(unittest.TestCase): |
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9 | """ |
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10 | Testing C++ Cylinder model |
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11 | """ |
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12 | def setUp(self): |
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13 | from sans.models.CylinderModel import CylinderModel |
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14 | self.model= CylinderModel() |
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15 | |
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16 | self.model.setParam('scale', 1.0) |
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17 | self.model.setParam('radius', 20.0) |
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18 | self.model.setParam('length', 400.0) |
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19 | self.model.setParam('contrast', 3.e-6) |
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20 | self.model.setParam('background', 0.0) |
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21 | self.model.setParam('cyl_theta', 0.0) |
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22 | self.model.setParam('cyl_phi', 0.0) |
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23 | |
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24 | def test_simple(self): |
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25 | self.assertAlmostEqual(self.model.run(0.001), 450.355, 3) |
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26 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 452.299, 3) |
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27 | |
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28 | def test_constant(self): |
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29 | from sans.models.dispersion_models import DispersionModel |
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30 | disp = DispersionModel() |
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31 | self.model.setParam('scale', 10.0) |
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32 | self.model.set_dispersion('radius', disp) |
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33 | self.model.dispersion['radius']['width'] = 5.0 |
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34 | self.model.dispersion['radius']['npts'] = 100 |
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35 | |
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36 | self.assertAlmostEqual(self.model.run(0.001), 4527.47250339, 3) |
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37 | self.assertAlmostEqual(self.model.runXY([0.001, 0.001]), 4546.997777604715, 3) |
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38 | |
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39 | def test_gaussian(self): |
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40 | from sans.models.dispersion_models import GaussianDispersion |
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41 | disp = GaussianDispersion() |
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42 | self.model.set_dispersion('radius', disp) |
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43 | self.model.dispersion['radius']['width'] = 5.0 |
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44 | self.model.dispersion['radius']['npts'] = 100 |
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45 | self.model.setParam('scale', 10.0) |
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46 | |
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47 | self.assertAlmostEqual(self.model.run(0.001), 4723.32213339, 3) |
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48 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 4743.56, 2) |
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49 | |
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50 | def test_clone(self): |
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51 | from sans.models.dispersion_models import GaussianDispersion |
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52 | disp = GaussianDispersion() |
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53 | self.model.set_dispersion('radius', disp) |
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54 | self.model.dispersion['radius']['width'] = 5.0 |
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55 | self.model.dispersion['radius']['npts'] = 100 |
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56 | self.model.setParam('scale', 10.0) |
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57 | |
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58 | new_model = self.model.clone() |
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59 | print "gaussian",self.model.run(0.001) |
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60 | self.assertAlmostEqual(new_model.run(0.001), 4723.32213339, 3) |
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61 | self.assertAlmostEqual(new_model.runXY([0.001,0.001]), 4743.56, 2) |
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62 | |
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63 | def test_schulz_zero(self): |
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64 | from sans.models.dispersion_models import SchulzDispersion |
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65 | disp = SchulzDispersion() |
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66 | self.model.set_dispersion('radius', disp) |
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67 | self.model.dispersion['radius']['width'] = 5.0 |
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68 | #self.model.dispersion['radius']['width'] = 0.0 |
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69 | self.model.dispersion['radius']['npts'] = 100 |
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70 | #self.model.setParam('scale', 1.0) |
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71 | self.model.setParam('scale', 10.0) |
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72 | print "schulz",self.model.run(0.001), self.model.dispersion |
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73 | self.assertAlmostEqual(self.model.run(0.001), 450.355, 3) |
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74 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 452.299, 3) |
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75 | |
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76 | def test_lognormal_zero(self): |
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77 | from sans.models.dispersion_models import LogNormalDispersion |
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78 | disp = LogNormalDispersion() |
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79 | self.model.set_dispersion('radius', disp) |
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80 | self.model.dispersion['radius']['width'] = 5.0 |
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81 | #self.model.dispersion['radius']['width'] = 0.0 |
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82 | self.model.dispersion['radius']['npts'] = 100 |
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83 | #self.model.setParam('scale', 1.0) |
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84 | self.model.setParam('scale', 10.0) |
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85 | print "model dispersion",self.model.dispersion |
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86 | print "lognormal",self.model.run(0.001) |
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87 | self.assertAlmostEqual(self.model.run(0.001), 450.355, 3) |
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88 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 452.299, 3) |
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89 | |
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90 | def test_gaussian_zero(self): |
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91 | from sans.models.dispersion_models import GaussianDispersion |
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92 | disp = GaussianDispersion() |
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93 | self.model.set_dispersion('radius', disp) |
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94 | self.model.dispersion['radius']['width'] = 0.0 |
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95 | self.model.dispersion['radius']['npts'] = 100 |
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96 | self.model.setParam('scale', 1.0) |
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97 | |
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98 | self.assertAlmostEqual(self.model.run(0.001), 450.355, 3) |
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99 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 452.299, 3) |
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100 | |
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101 | def test_array(self): |
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102 | """ |
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103 | Perform complete rotational average and |
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104 | compare to 1D |
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105 | """ |
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106 | from sans.models.dispersion_models import ArrayDispersion |
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107 | disp_ph = ArrayDispersion() |
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108 | disp_th = ArrayDispersion() |
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109 | |
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110 | values_ph = numpy.zeros(100) |
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111 | values_th = numpy.zeros(100) |
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112 | weights = numpy.zeros(100) |
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113 | for i in range(100): |
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114 | values_ph[i]=(2.0*math.pi/99.0*i) |
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115 | values_th[i]=(math.pi/99.0*i) |
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116 | weights[i]=(1.0) |
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117 | |
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118 | disp_ph.set_weights(values_ph, weights) |
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119 | disp_th.set_weights(values_th, weights) |
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120 | |
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121 | self.model.set_dispersion('cyl_theta', disp_th) |
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122 | self.model.set_dispersion('cyl_phi', disp_ph) |
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123 | |
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124 | val_1d = self.model.run(math.sqrt(0.0002)) |
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125 | val_2d = self.model.runXY([0.01,0.01]) |
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126 | |
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127 | self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02) |
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128 | |
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129 | class TestCoreShellCylinder(unittest.TestCase): |
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130 | """ |
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131 | Testing C++ Cylinder model |
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132 | """ |
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133 | def setUp(self): |
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134 | from sans.models.CoreShellCylinderModel import CoreShellCylinderModel |
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135 | self.model= CoreShellCylinderModel() |
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136 | |
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137 | self.model.setParam('scale', 1.0) |
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138 | self.model.setParam('radius', 20.0) |
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139 | self.model.setParam('thickness', 10.0) |
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140 | self.model.setParam('length', 400.0) |
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141 | self.model.setParam('core_sld', 1.e-6) |
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142 | self.model.setParam('shell_sld', 4.e-6) |
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143 | self.model.setParam('solvent_sld', 1.e-6) |
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144 | self.model.setParam('background', 0.0) |
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145 | self.model.setParam('axis_theta', 0.0) |
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146 | self.model.setParam('axis_phi', 0.0) |
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147 | |
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148 | def test_simple(self): |
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149 | """ |
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150 | Test simple 1D and 2D values |
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151 | Numbers taken from model that passed validation, before |
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152 | the update to C++ underlying class. |
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153 | """ |
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154 | self.assertAlmostEqual(self.model.run(0.001), 353.55013216754583, 3) |
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155 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 355.25355270620543, 3) |
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156 | |
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157 | def test_dispersion(self): |
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158 | """ |
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159 | Test with dispersion |
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160 | """ |
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161 | from sans.models.DisperseModel import DisperseModel |
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162 | disp = DisperseModel(self.model, ['radius', 'thickness', 'length'], [5, 2, 50]) |
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163 | disp.setParam('n_pts', 10) |
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164 | self.assertAlmostEqual(disp.run(0.001), 358.44062724936009, 3) |
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165 | self.assertAlmostEqual(disp.runXY([0.001,0.001]), 360.22673635224584, 3) |
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166 | |
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167 | def test_new_disp(self): |
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168 | from sans.models.dispersion_models import GaussianDispersion |
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169 | disp_rm = GaussianDispersion() |
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170 | self.model.set_dispersion('radius', disp_rm) |
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171 | self.model.dispersion['radius']['width'] = 5.0 |
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172 | self.model.dispersion['radius']['npts'] = 10 |
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173 | |
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174 | disp_rr = GaussianDispersion() |
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175 | self.model.set_dispersion('thickness', disp_rr) |
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176 | self.model.dispersion['thickness']['width'] = 2. |
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177 | self.model.dispersion['thickness']['npts'] = 10 |
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178 | |
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179 | disp_len = GaussianDispersion() |
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180 | self.model.set_dispersion('length', disp_len) |
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181 | self.model.dispersion['length']['width'] = 50.0 |
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182 | self.model.dispersion['length']['npts'] = 10 |
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183 | |
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184 | self.assertAlmostEqual(self.model.run(0.001), 358.44062724936009, 3) |
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185 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 360.22673635224584, 3) |
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186 | |
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187 | |
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188 | def test_array(self): |
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189 | """ |
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190 | Perform complete rotational average and |
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191 | compare to 1D |
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192 | """ |
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193 | from sans.models.dispersion_models import ArrayDispersion |
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194 | disp_ph = ArrayDispersion() |
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195 | disp_th = ArrayDispersion() |
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196 | |
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197 | values_ph = numpy.zeros(100) |
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198 | values_th = numpy.zeros(100) |
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199 | weights = numpy.zeros(100) |
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200 | for i in range(100): |
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201 | values_ph[i]=(2.0*math.pi/99.0*i) |
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202 | values_th[i]=(math.pi/99.0*i) |
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203 | weights[i]=(1.0) |
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204 | |
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205 | disp_ph.set_weights(values_ph, weights) |
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206 | disp_th.set_weights(values_th, weights) |
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207 | |
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208 | self.model.set_dispersion('axis_theta', disp_th) |
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209 | self.model.set_dispersion('axis_phi', disp_ph) |
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210 | |
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211 | val_1d = self.model.run(math.sqrt(0.0002)) |
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212 | val_2d = self.model.runXY([0.01,0.01]) |
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213 | |
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214 | self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02) |
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215 | |
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216 | |
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217 | |
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218 | class TestCoreShell(unittest.TestCase): |
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219 | """ |
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220 | Testing C++ Cylinder model |
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221 | """ |
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222 | def setUp(self): |
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223 | from sans.models.CoreShellModel import CoreShellModel |
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224 | self.model= CoreShellModel() |
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225 | |
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226 | self.model.setParam('scale', 1.0) |
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227 | self.model.setParam('radius', 60.0) |
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228 | self.model.setParam('thickness', 10.0) |
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229 | self.model.setParam('core_sld', 1.e-6) |
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230 | self.model.setParam('shell_sld', 2.e-6) |
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231 | self.model.setParam('solvent_sld', 3.e-6) |
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232 | self.model.setParam('background', 0.0) |
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233 | |
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234 | def test_simple(self): |
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235 | """ |
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236 | Test simple 1D and 2D values |
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237 | Numbers taken from model that passed validation, before |
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238 | the update to C++ underlying class. |
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239 | """ |
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240 | self.assertAlmostEqual(self.model.run(0.001), 381.27304697150055, 3) |
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241 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 380.93779156218682, 3) |
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242 | |
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243 | def test_dispersion(self): |
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244 | """ |
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245 | Test with dispersion |
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246 | """ |
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247 | from sans.models.DisperseModel import DisperseModel |
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248 | disp = DisperseModel(self.model, ['radius', 'thickness'], [10, 2]) |
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249 | disp.setParam('n_pts', 10) |
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250 | self.assertAlmostEqual(disp.run(0.001), 407.344127907553, 3) |
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251 | |
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252 | def test_new_disp(self): |
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253 | from sans.models.dispersion_models import GaussianDispersion |
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254 | disp_rm = GaussianDispersion() |
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255 | self.model.set_dispersion('radius', disp_rm) |
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256 | self.model.dispersion['radius']['width'] = 10. |
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257 | self.model.dispersion['radius']['npts'] = 10 |
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258 | |
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259 | disp_rr = GaussianDispersion() |
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260 | self.model.set_dispersion('thickness', disp_rr) |
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261 | self.model.dispersion['thickness']['width'] = 2. |
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262 | self.model.dispersion['thickness']['npts'] = 10 |
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263 | |
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264 | |
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265 | self.assertAlmostEqual(self.model.run(0.001), 407.344127907553, 3) |
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266 | |
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267 | |
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268 | class TestEllipsoid(unittest.TestCase): |
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269 | """ |
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270 | Testing C++ Cylinder model |
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271 | """ |
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272 | def setUp(self): |
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273 | from sans.models.EllipsoidModel import EllipsoidModel |
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274 | self.model= EllipsoidModel() |
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275 | |
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276 | self.model.setParam('scale', 1.0) |
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277 | self.model.setParam('radius_a', 20.0) |
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278 | self.model.setParam('radius_b', 400.0) |
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279 | self.model.setParam('contrast', 3.e-6) |
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280 | self.model.setParam('background', 0.0) |
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281 | self.model.setParam('axis_theta', 1.57) |
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282 | self.model.setParam('axis_phi', 0.0) |
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283 | |
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284 | def test_simple(self): |
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285 | """ |
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286 | Test simple 1D and 2D values |
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287 | Numbers taken from model that passed validation, before |
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288 | the update to C++ underlying class. |
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289 | """ |
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290 | self.assertAlmostEqual(self.model.run(0.001), 11808.842896863147, 3) |
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291 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 11681.990374929677, 3) |
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292 | |
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293 | def test_dispersion(self): |
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294 | """ |
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295 | Test with dispersion |
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296 | """ |
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297 | from sans.models.DisperseModel import DisperseModel |
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298 | disp = DisperseModel(self.model, ['radius_a', 'radius_b'], [5, 50]) |
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299 | disp.setParam('n_pts', 10) |
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300 | self.assertAlmostEqual(disp.run(0.001), 11948.72581312305, 3) |
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301 | self.assertAlmostEqual(disp.runXY([0.001,0.001]), 11811.972359807551, 3) |
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302 | |
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303 | def test_new_disp(self): |
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304 | from sans.models.dispersion_models import GaussianDispersion |
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305 | disp_rm = GaussianDispersion() |
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306 | self.model.set_dispersion('radius_a', disp_rm) |
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307 | self.model.dispersion['radius_a']['width'] = 5.0 |
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308 | self.model.dispersion['radius_a']['npts'] = 10 |
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309 | |
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310 | disp_rr = GaussianDispersion() |
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311 | self.model.set_dispersion('radius_b', disp_rr) |
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312 | self.model.dispersion['radius_b']['width'] = 50. |
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313 | self.model.dispersion['radius_b']['npts'] = 10 |
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314 | |
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315 | |
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316 | self.assertAlmostEqual(self.model.run(0.001), 11948.72581312305, 3) |
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317 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 11811.972359807551, 3) |
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318 | |
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319 | def test_array(self): |
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320 | """ |
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321 | Perform complete rotational average and |
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322 | compare to 1D |
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323 | """ |
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324 | from sans.models.dispersion_models import ArrayDispersion |
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325 | disp_ph = ArrayDispersion() |
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326 | disp_th = ArrayDispersion() |
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327 | |
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328 | values_ph = numpy.zeros(100) |
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329 | values_th = numpy.zeros(100) |
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330 | weights = numpy.zeros(100) |
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331 | for i in range(100): |
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332 | values_ph[i]=(2.0*math.pi/99.0*i) |
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333 | values_th[i]=(math.pi/99.0*i) |
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334 | weights[i]=(1.0) |
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335 | |
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336 | disp_ph.set_weights(values_ph, weights) |
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337 | disp_th.set_weights(values_th, weights) |
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338 | |
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339 | self.model.set_dispersion('axis_theta', disp_th) |
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340 | self.model.set_dispersion('axis_phi', disp_ph) |
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341 | |
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342 | val_1d = self.model.run(math.sqrt(0.0002)) |
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343 | val_2d = self.model.runXY([0.01,0.01]) |
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344 | |
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345 | self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02) |
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346 | |
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347 | |
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348 | |
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349 | class TestSphere(unittest.TestCase): |
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350 | """ |
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351 | Testing C++ Cylinder model |
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352 | """ |
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353 | def setUp(self): |
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354 | from sans.models.SphereModel import SphereModel |
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355 | self.model= SphereModel() |
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356 | |
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357 | self.model.setParam('scale', 1.0) |
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358 | self.model.setParam('radius', 60.0) |
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359 | self.model.setParam('contrast', 1) |
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360 | self.model.setParam('background', 0.0) |
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361 | |
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362 | def test_simple(self): |
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363 | """ |
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364 | Test simple 1D and 2D values |
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365 | Numbers taken from model that passed validation, before |
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366 | the update to C++ underlying class. |
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367 | """ |
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368 | self.assertAlmostEqual(self.model.run(0.001), 90412744456148.094, 3) |
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369 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 90347660670656.391, 3) |
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370 | |
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371 | def test_dispersion(self): |
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372 | """ |
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373 | Test with dispersion |
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374 | """ |
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375 | from sans.models.DisperseModel import DisperseModel |
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376 | disp = DisperseModel(self.model, ['radius'], [10]) |
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377 | disp.setParam('n_pts', 10) |
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378 | self.assertAlmostEqual(disp.run(0.001), 96795008379475.25, 3) |
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379 | |
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380 | def test_new_disp(self): |
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381 | from sans.models.dispersion_models import GaussianDispersion |
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382 | disp_rm = GaussianDispersion() |
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383 | self.model.set_dispersion('radius', disp_rm) |
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384 | self.model.dispersion['radius']['width'] = 10.0 |
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385 | self.model.dispersion['radius']['npts'] = 10 |
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386 | |
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387 | self.assertAlmostEqual(self.model.run(0.001), 96795008379475.25, 3) |
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388 | |
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389 | |
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390 | |
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391 | class TestEllipticalCylinder(unittest.TestCase): |
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392 | """ |
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393 | Testing C++ Cylinder model |
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394 | """ |
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395 | def setUp(self): |
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396 | from sans.models.EllipticalCylinderModel import EllipticalCylinderModel |
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397 | self.model= EllipticalCylinderModel() |
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398 | |
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399 | self.model.setParam('scale', 1.0) |
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400 | self.model.setParam('r_minor', 20.0) |
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401 | self.model.setParam('r_ratio', 1.5) |
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402 | self.model.setParam('length', 400.0) |
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403 | self.model.setParam('contrast', 3.e-6) |
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404 | self.model.setParam('background', 0.0) |
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405 | self.model.setParam('cyl_theta', 1.57) |
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406 | self.model.setParam('cyl_phi', 0.0) |
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407 | self.model.setParam('cyl_psi', 0.0) |
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408 | |
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409 | def test_simple(self): |
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410 | """ |
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411 | Test simple 1D and 2D values |
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412 | Numbers taken from model that passed validation, before |
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413 | the update to C++ underlying class. |
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414 | """ |
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415 | self.assertAlmostEqual(self.model.run(0.001), 675.50440232504991, 3) |
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416 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 669.5173937622792, 3) |
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417 | |
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418 | def test_dispersion(self): |
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419 | """ |
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420 | Test with dispersion |
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421 | """ |
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422 | from sans.models.DisperseModel import DisperseModel |
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423 | disp = DisperseModel(self.model, ['r_minor', 'r_ratio', 'length'], [5, 0.25, 50]) |
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424 | disp.setParam('n_pts', 10) |
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425 | self.assertAlmostEqual(disp.run(0.001), 711.18048194151925, 3) |
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426 | self.assertAlmostEqual(disp.runXY([0.001,0.001]), 704.63525988095705, 3) |
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427 | |
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428 | def test_new_disp(self): |
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429 | from sans.models.dispersion_models import GaussianDispersion |
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430 | disp_rm = GaussianDispersion() |
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431 | self.model.set_dispersion('r_minor', disp_rm) |
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432 | self.model.dispersion['r_minor']['width'] = 5.0 |
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433 | self.model.dispersion['r_minor']['npts'] = 10 |
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434 | |
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435 | disp_rr = GaussianDispersion() |
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436 | self.model.set_dispersion('r_ratio', disp_rr) |
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437 | self.model.dispersion['r_ratio']['width'] = 0.25 |
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438 | self.model.dispersion['r_ratio']['npts'] = 10 |
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439 | |
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440 | disp_len = GaussianDispersion() |
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441 | self.model.set_dispersion('length', disp_len) |
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442 | self.model.dispersion['length']['width'] = 50.0 |
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443 | self.model.dispersion['length']['npts'] = 10 |
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444 | |
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445 | self.assertAlmostEqual(self.model.run(0.001), 711.18048194151925, 3) |
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446 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 704.63525988095705, 3) |
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447 | |
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448 | |
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449 | def test_array(self): |
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450 | """ |
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451 | Perform complete rotational average and |
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452 | compare to 1D |
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453 | """ |
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454 | from sans.models.dispersion_models import ArrayDispersion |
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455 | disp_ph = ArrayDispersion() |
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456 | disp_th = ArrayDispersion() |
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457 | disp_ps = ArrayDispersion() |
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458 | |
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459 | values_ph = numpy.zeros(100) |
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460 | values_th = numpy.zeros(100) |
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461 | values_ps = numpy.zeros(100) |
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462 | weights = numpy.zeros(100) |
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463 | for i in range(100): |
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464 | values_ps[i]=(2.0*math.pi/99.0*i) |
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465 | values_ph[i]=(2.0*math.pi/99.0*i) |
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466 | values_th[i]=(math.pi/99.0*i) |
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467 | weights[i]=(1.0) |
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468 | |
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469 | disp_ph.set_weights(values_ph, weights) |
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470 | disp_th.set_weights(values_th, weights) |
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471 | disp_ps.set_weights(values_ps, weights) |
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472 | |
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473 | self.model.set_dispersion('cyl_theta', disp_th) |
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474 | self.model.set_dispersion('cyl_phi', disp_ph) |
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475 | self.model.set_dispersion('cyl_psi', disp_ps) |
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476 | |
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477 | val_1d = self.model.run(math.sqrt(0.0002)) |
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478 | val_2d = self.model.runXY([0.01,0.01]) |
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479 | |
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480 | self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02) |
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481 | |
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482 | class TestDispModel(unittest.TestCase): |
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483 | def setUp(self): |
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484 | from sans.models.CylinderModel import CylinderModel |
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485 | self.model = CylinderModel() |
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486 | |
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487 | |
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488 | def test_disp_params(self): |
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489 | |
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490 | self.assertEqual(self.model.dispersion['radius']['width'], 0.0) |
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491 | self.model.setParam('radius.width', 5.0) |
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492 | self.assertEqual(self.model.dispersion['radius']['width'], 5.0) |
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493 | self.assertEqual(self.model.getParam('radius.width'), 5.0) |
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494 | self.assertEqual(self.model.dispersion['radius']['type'], 'gaussian') |
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495 | |
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496 | |
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497 | if __name__ == '__main__': |
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498 | unittest.main() |
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499 | |
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