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, SectorPhi, get_q |
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6 | |
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7 | import os.path |
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8 | import numpy, math |
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9 | import DataLoader.data_info as data_info |
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10 | |
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11 | class Averaging(unittest.TestCase): |
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12 | """ |
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13 | Test averaging manipulations on a flat distribution |
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14 | """ |
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15 | def setUp(self): |
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16 | """ |
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17 | Create a flat 2D distribution. All averaging results |
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18 | should return the predefined height of the distribution (1.0). |
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19 | """ |
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20 | x_0 = numpy.ones([100,100]) |
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21 | dx_0 = numpy.ones([100,100]) |
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22 | self.data = data_info.Data2D(x_0, dx_0) |
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23 | detector = data_info.Detector() |
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24 | detector.distance = 1000.0 |
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25 | detector.pixel_size.x = 1.0 |
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26 | detector.pixel_size.y = 1.0 |
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27 | detector.beam_center.x = 50 |
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28 | detector.beam_center.y = 50 |
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29 | self.data.detector.append(detector) |
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30 | |
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31 | source = data_info.Source() |
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32 | source.wavelength = 10.0 |
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33 | self.data.source = source |
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34 | |
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35 | self.qmin = get_q(1.0, 1.0, 1000.0, 10.0) |
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36 | |
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37 | def test_ring_flat_distribution(self): |
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38 | """ |
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39 | Test ring averaging |
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40 | """ |
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41 | r = Ring(r_min=2*self.qmin, r_max=5*self.qmin, |
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42 | center_x=self.data.detector[0].beam_center.x, |
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43 | center_y=self.data.detector[0].beam_center.y) |
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44 | r.nbins_phi = 20 |
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45 | |
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46 | o = r(self.data) |
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47 | for i in range(20): |
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48 | self.assertEqual(o.y[i], 1.0) |
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49 | |
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50 | def test_sectorphi_full(self): |
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51 | """ |
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52 | Test sector averaging |
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53 | """ |
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54 | r = SectorPhi(r_min=self.qmin, r_max=3*self.qmin, phi_min=0, phi_max=math.pi*2.0) |
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55 | r.nbins_phi = 20 |
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56 | o = r(self.data) |
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57 | for i in range(20): |
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58 | self.assertEqual(o.y[i], 1.0) |
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59 | |
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60 | |
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61 | def test_sectorphi_partial(self): |
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62 | """ |
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63 | """ |
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64 | phi_max = 1.5 |
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65 | r = SectorPhi(r_min=self.qmin, r_max=3*self.qmin, phi_min=0, phi_max=phi_max) |
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66 | self.assertEqual(r.phi_max, phi_max) |
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67 | r.nbins_phi = 20 |
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68 | o = r(self.data) |
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69 | self.assertEqual(r.phi_max, phi_max) |
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70 | for i in range(20): |
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71 | self.assertEqual(o.y[i], 1.0) |
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72 | |
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73 | |
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74 | |
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75 | class data_info_tests(unittest.TestCase): |
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76 | |
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77 | def setUp(self): |
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78 | self.data = Loader().load('MAR07232_rest.ASC') |
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79 | |
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80 | def test_ring(self): |
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81 | """ |
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82 | Test ring averaging |
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83 | """ |
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84 | r = Ring(r_min=.005, r_max=.01, |
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85 | center_x=self.data.detector[0].beam_center.x, |
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86 | center_y=self.data.detector[0].beam_center.y) |
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87 | r.nbins_phi = 20 |
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88 | |
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89 | o = r(self.data) |
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90 | answer = Loader().load('ring_testdata.txt') |
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91 | for i in range(r.nbins_phi): |
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92 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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93 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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94 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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95 | |
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96 | def test_circularavg(self): |
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97 | """ |
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98 | Test circular averaging |
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99 | The test data was not generated by IGOR. |
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100 | """ |
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101 | r = CircularAverage(r_min=.00, r_max=.025, |
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102 | bin_width=0.0003) |
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103 | r.nbins_phi = 20 |
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104 | |
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105 | o = r(self.data) |
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106 | answer = Loader().load('avg_testdata.txt') |
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107 | for i in range(r.nbins_phi): |
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108 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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109 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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110 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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111 | |
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112 | def test_box(self): |
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113 | """ |
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114 | Test circular averaging |
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115 | The test data was not generated by IGOR. |
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116 | """ |
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117 | from DataLoader.manipulations import Boxsum, Boxavg |
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118 | |
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119 | r = Boxsum(x_min=.01, x_max=.015, y_min=0.01, y_max=0.015) |
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120 | s, ds = r(self.data) |
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121 | self.assertAlmostEqual(s, 151.81809601016641, 4) |
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122 | self.assertAlmostEqual(ds, 16.245399156009537, 4) |
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123 | |
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124 | r = Boxavg(x_min=.01, x_max=.015, y_min=0.01, y_max=0.015) |
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125 | s, ds = r(self.data) |
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126 | self.assertAlmostEqual(s, 0.11195555855955155, 4) |
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127 | self.assertAlmostEqual(ds, 0.011979881083557541, 4) |
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128 | |
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129 | def test_slabX(self): |
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130 | """ |
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131 | Test slab in X |
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132 | The test data was not generated by IGOR. |
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133 | """ |
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134 | from DataLoader.manipulations import SlabX |
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135 | |
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136 | r = SlabX(x_min=-.01, x_max=.01, y_min=-0.0002, y_max=0.0002, bin_width=0.0004) |
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137 | r.fold = False |
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138 | o = r(self.data) |
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139 | |
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140 | answer = Loader().load('slabx_testdata.txt') |
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141 | for i in range(len(o.x)): |
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142 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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143 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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144 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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145 | |
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146 | def test_slabY(self): |
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147 | """ |
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148 | Test slab in Y |
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149 | The test data was not generated by IGOR. |
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150 | """ |
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151 | from DataLoader.manipulations import SlabY |
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152 | |
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153 | r = SlabY(x_min=.005, x_max=.01, y_min=-0.01, y_max=0.01, bin_width=0.0004) |
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154 | r.fold = False |
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155 | o = r(self.data) |
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156 | |
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157 | answer = Loader().load('slaby_testdata.txt') |
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158 | for i in range(len(o.x)): |
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159 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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160 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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161 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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162 | |
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163 | def test_sectorphi_full(self): |
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164 | """ |
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165 | Test sector averaging I(phi) |
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166 | When considering the whole azimuthal range (2pi), |
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167 | the answer should be the same as ring averaging. |
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168 | The test data was not generated by IGOR. |
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169 | """ |
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170 | from DataLoader.manipulations import SectorPhi |
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171 | import math |
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172 | |
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173 | r = SectorPhi(r_min=.005, r_max=.01, phi_min=0, phi_max=math.pi*2.0) |
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174 | r.nbins_phi = 20 |
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175 | o = r(self.data) |
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176 | |
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177 | answer = Loader().load('ring_testdata.txt') |
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178 | for i in range(len(o.x)): |
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179 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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180 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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181 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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182 | |
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183 | def test_sectorphi_quarter(self): |
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184 | """ |
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185 | Test sector averaging I(phi) |
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186 | The test data was not generated by IGOR. |
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187 | """ |
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188 | from DataLoader.manipulations import SectorPhi |
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189 | import math |
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190 | |
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191 | r = SectorPhi(r_min=.005, r_max=.01, phi_min=0, phi_max=math.pi/2.0) |
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192 | r.nbins_phi = 20 |
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193 | o = r(self.data) |
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194 | |
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195 | answer = Loader().load('sectorphi_testdata.txt') |
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196 | for i in range(len(o.x)): |
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197 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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198 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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199 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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200 | |
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201 | def test_sectorq_full(self): |
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202 | """ |
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203 | Test sector averaging I(q) |
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204 | The test data was not generated by IGOR. |
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205 | """ |
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206 | from DataLoader.manipulations import SectorQ |
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207 | import math |
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208 | |
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209 | r = SectorQ(r_min=.005, r_max=.01, phi_min=0, phi_max=math.pi/2.0) |
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210 | r.nbins_phi = 20 |
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211 | o = r(self.data) |
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212 | |
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213 | answer = Loader().load('sectorq_testdata.txt') |
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214 | for i in range(len(o.x)): |
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215 | self.assertAlmostEqual(o.x[i], answer.x[i], 4) |
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216 | self.assertAlmostEqual(o.y[i], answer.y[i], 4) |
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217 | self.assertAlmostEqual(o.dy[i], answer.dy[i], 4) |
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218 | |
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219 | |
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220 | if __name__ == '__main__': |
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221 | unittest.main() |
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