1 | |
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2 | import unittest |
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3 | |
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4 | from DataLoader.loader import Loader |
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5 | from DataLoader.manipulations import Ring, CircularAverage |
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6 | |
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7 | import os.path |
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8 | |
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9 | class data_info_tests(unittest.TestCase): |
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10 | |
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11 | def setUp(self): |
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12 | self.data = Loader().load('MAR07232_rest.ASC') |
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13 | |
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14 | def test_ring(self): |
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15 | """ |
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16 | Test ring averaging |
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17 | """ |
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18 | r = Ring(r_min=.005, r_max=.01, |
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19 | center_x=self.data.detector[0].beam_center.x, |
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20 | center_y=self.data.detector[0].beam_center.y) |
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21 | r.nbins_phi = 20 |
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22 | |
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23 | o = r(self.data) |
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24 | answer = Loader().load('ring_testdata.txt') |
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25 | for i in range(r.nbins_phi): |
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26 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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27 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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28 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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29 | |
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30 | def test_circularavg(self): |
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31 | """ |
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32 | Test circular averaging |
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33 | The test data was not generated by IGOR. |
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34 | """ |
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35 | r = CircularAverage(r_min=.00, r_max=.025, |
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36 | bin_width=0.0003) |
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37 | r.nbins_phi = 20 |
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38 | |
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39 | o = r(self.data) |
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40 | answer = Loader().load('avg_testdata.txt') |
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41 | for i in range(r.nbins_phi): |
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42 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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43 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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44 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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45 | |
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46 | def test_box(self): |
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47 | """ |
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48 | Test circular averaging |
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49 | The test data was not generated by IGOR. |
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50 | """ |
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51 | from DataLoader.manipulations import Boxsum, Boxavg |
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52 | |
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53 | r = Boxsum(x_min=.01, x_max=.015, y_min=0.01, y_max=0.015) |
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54 | s, ds = r(self.data) |
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55 | self.assertAlmostEqual(s, 151.81809601016641, 4) |
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56 | self.assertAlmostEqual(ds, 16.245399156009537, 4) |
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57 | |
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58 | r = Boxavg(x_min=.01, x_max=.015, y_min=0.01, y_max=0.015) |
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59 | s, ds = r(self.data) |
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60 | self.assertAlmostEqual(s, 0.11195555855955155, 4) |
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61 | self.assertAlmostEqual(ds, 0.011979881083557541, 4) |
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62 | |
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63 | def test_slabX(self): |
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64 | """ |
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65 | Test slab in X |
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66 | The test data was not generated by IGOR. |
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67 | """ |
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68 | from DataLoader.manipulations import SlabX |
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69 | |
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70 | r = SlabX(x_min=-.01, x_max=.01, y_min=-0.0002, y_max=0.0002, bin_width=0.0004) |
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71 | r.fold = False |
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72 | o = r(self.data) |
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73 | |
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74 | answer = Loader().load('slabx_testdata.txt') |
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75 | for i in range(len(o.x)): |
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76 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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77 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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78 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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79 | |
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80 | def test_slabY(self): |
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81 | """ |
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82 | Test slab in Y |
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83 | The test data was not generated by IGOR. |
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84 | """ |
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85 | from DataLoader.manipulations import SlabY |
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86 | |
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87 | r = SlabY(x_min=.005, x_max=.01, y_min=-0.01, y_max=0.01, bin_width=0.0004) |
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88 | r.fold = False |
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89 | o = r(self.data) |
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90 | |
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91 | answer = Loader().load('slaby_testdata.txt') |
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92 | for i in range(len(o.x)): |
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93 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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94 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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95 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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96 | |
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97 | def test_sectorphi_full(self): |
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98 | """ |
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99 | Test sector averaging I(phi) |
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100 | When considering the whole azimuthal range (2pi), |
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101 | the answer should be the same as ring averaging. |
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102 | The test data was not generated by IGOR. |
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103 | """ |
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104 | from DataLoader.manipulations import SectorPhi |
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105 | import math |
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106 | |
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107 | r = SectorPhi(r_min=.005, r_max=.01, phi_min=0, phi_max=math.pi*2.0) |
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108 | r.nbins_phi = 20 |
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109 | o = r(self.data) |
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110 | |
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111 | answer = Loader().load('ring_testdata.txt') |
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112 | for i in range(len(o.x)): |
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113 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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114 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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115 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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116 | |
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117 | def test_sectorphi_quarter(self): |
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118 | """ |
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119 | Test sector averaging I(phi) |
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120 | The test data was not generated by IGOR. |
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121 | """ |
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122 | from DataLoader.manipulations import SectorPhi |
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123 | import math |
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124 | |
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125 | r = SectorPhi(r_min=.005, r_max=.01, phi_min=0, phi_max=math.pi/2.0) |
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126 | r.nbins_phi = 20 |
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127 | o = r(self.data) |
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128 | |
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129 | answer = Loader().load('sectorphi_testdata.txt') |
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130 | for i in range(len(o.x)): |
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131 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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132 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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133 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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134 | |
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135 | def test_sectorq_full(self): |
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136 | """ |
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137 | Test sector averaging I(q) |
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138 | The test data was not generated by IGOR. |
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139 | """ |
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140 | from DataLoader.manipulations import SectorQ |
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141 | import math |
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142 | |
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143 | r = SectorQ(r_min=.005, r_max=.01, phi_min=0, phi_max=math.pi/2.0) |
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144 | r.nbins_phi = 20 |
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145 | o = r(self.data) |
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146 | |
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147 | answer = Loader().load('sectorq_testdata.txt') |
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148 | for i in range(len(o.x)): |
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149 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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150 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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151 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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152 | |
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153 | |
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154 | if __name__ == '__main__': |
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155 | unittest.main() |
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