1 | """ |
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2 | Implementation of the use-case from a usage perspective. |
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3 | |
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4 | """ |
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5 | #TODO: there's no test for smeared extrapolation |
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6 | import unittest |
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7 | from sas.sascalc.dataloader.loader import Loader |
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8 | from sas.sascalc.invariant import invariant |
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9 | |
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10 | |
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11 | class Data1D: |
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12 | pass |
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13 | |
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14 | |
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15 | class TestLineFit(unittest.TestCase): |
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16 | """ |
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17 | Test Line fit |
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18 | """ |
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19 | def setUp(self): |
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20 | self.data_list = Loader().load("linefittest.txt") |
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21 | self.data = self.data_list[0] |
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22 | |
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23 | def test_fit_line_data(self): |
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24 | """ |
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25 | Fit_Test_1: test linear fit, ax +b, without fixed |
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26 | """ |
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27 | |
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28 | # Create invariant object. Background and scale left as defaults. |
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29 | fit = invariant.Extrapolator(data=self.data) |
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30 | |
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31 | # Without holding |
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32 | p, dp = fit.fit(power=None) |
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33 | |
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34 | # Test results |
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35 | self.assertAlmostEquals(p[0], 2.3983,3) |
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36 | self.assertAlmostEquals(p[1], 0.87833,3) |
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37 | |
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38 | def test_fit_line_data_fixed(self): |
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39 | """ |
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40 | Fit_Test_2: test linear fit, ax +b, with 'a' fixed |
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41 | """ |
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42 | |
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43 | # Create invariant object. Background and scale left as defaults. |
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44 | fit = invariant.Extrapolator(data=self.data) |
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45 | |
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46 | # With holding a = -power =4 |
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47 | p, dp = fit.fit(power=-4) |
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48 | |
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49 | # Test results |
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50 | self.assertAlmostEquals(p[0], 4) |
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51 | self.assertAlmostEquals(p[1], -4.0676,3) |
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52 | |
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53 | |
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54 | class TestLineFitNoweight(unittest.TestCase): |
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55 | """ |
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56 | Test Line fit without weight(dy data) |
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57 | """ |
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58 | def setUp(self): |
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59 | self.data_list = Loader().load("linefittest_no_weight.txt") |
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60 | self.data = self.data_list[0] |
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61 | |
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62 | def skip_test_fit_line_data_no_weight(self): |
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63 | """ |
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64 | Fit_Test_1: test linear fit, ax +b, without fixed |
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65 | """ |
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66 | |
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67 | # Create invariant object. Background and scale left as defaults. |
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68 | fit = invariant.Extrapolator(data=self.data) |
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69 | |
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70 | # Without holding |
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71 | p, dp = fit.fit(power=None) |
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72 | |
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73 | # Test results |
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74 | self.assertAlmostEquals(p[0], 2.4727,3) |
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75 | self.assertAlmostEquals(p[1], 0.6,3) |
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76 | |
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77 | def test_fit_line_data_fixed_no_weight(self): |
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78 | """ |
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79 | Fit_Test_2: test linear fit, ax +b, with 'a' fixed |
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80 | """ |
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81 | |
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82 | # Create invariant object. Background and scale left as defaults. |
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83 | fit = invariant.Extrapolator(data=self.data) |
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84 | |
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85 | #With holding a = -power =4 |
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86 | p, dp = fit.fit(power=-4) |
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87 | |
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88 | # Test results |
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89 | self.assertAlmostEquals(p[0], 4) |
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90 | self.assertAlmostEquals(p[1], -7.8,3) |
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91 | |
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92 | |
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93 | class TestInvPolySphere(unittest.TestCase): |
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94 | """ |
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95 | Test unsmeared data for invariant computation |
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96 | """ |
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97 | def setUp(self): |
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98 | self.data_list = Loader().load("PolySpheres.txt") |
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99 | self.data = self.data_list[0] |
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100 | |
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101 | def test_wrong_data(self): |
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102 | """ test receiving Data1D not of type loader""" |
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103 | self.assertRaises(ValueError,invariant.InvariantCalculator, Data1D()) |
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104 | |
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105 | def test_use_case_1(self): |
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106 | """ |
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107 | Invariant without extrapolation |
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108 | """ |
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109 | # Create invariant object. Background and scale left as defaults. |
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110 | inv = invariant.InvariantCalculator(data=self.data) |
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111 | |
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112 | # We have to be able to tell the InvariantCalculator whether we want the |
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113 | # extrapolation or not. By default, when the user doesn't specify, we |
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114 | # should compute Q* without extrapolation. That's what should be done |
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115 | # in __init__. |
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116 | |
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117 | # We call get_qstar() with no argument, which signifies that we do NOT |
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118 | # want extrapolation. |
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119 | qstar = inv.get_qstar() |
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120 | |
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121 | # The volume fraction and surface use Q*. That means that the following |
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122 | # methods should check that Q* has been computed. If not, it should |
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123 | # compute it by calling get_qstare(), leaving the parameters as default. |
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124 | v, dv = inv.get_volume_fraction_with_error(contrast=2.6e-6) |
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125 | s, ds = inv.get_surface_with_error(contrast=2.6e-6, porod_const=2) |
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126 | |
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127 | # Test results |
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128 | self.assertAlmostEquals(qstar, 7.48959e-5,2) |
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129 | self.assertAlmostEquals(v, 0.005644689, 4) |
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130 | self.assertAlmostEquals(s , 941.7452, 3) |
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131 | |
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132 | def test_use_case_2(self): |
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133 | """ |
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134 | Invariant without extrapolation. Invariant, volume fraction and surface |
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135 | are given with errors. |
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136 | """ |
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137 | # Create invariant object. Background and scale left as defaults. |
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138 | inv = invariant.InvariantCalculator(data=self.data) |
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139 | |
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140 | # Get the invariant with errors |
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141 | qstar, qstar_err = inv.get_qstar_with_error() |
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142 | |
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143 | # The volume fraction and surface use Q*. That means that the following |
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144 | # methods should check that Q* has been computed. If not, it should |
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145 | # compute it by calling get_qstare(), leaving the parameters as default. |
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146 | v, dv = inv.get_volume_fraction_with_error(contrast=2.6e-6) |
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147 | s, ds = inv.get_surface_with_error(contrast=2.6e-6, porod_const=2) |
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148 | # Test results |
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149 | self.assertAlmostEquals(qstar, 7.48959e-5,2) |
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150 | self.assertAlmostEquals(v, 0.005644689, 1) |
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151 | self.assertAlmostEquals(s , 941.7452, 3) |
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152 | |
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153 | def test_use_case_3(self): |
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154 | """ |
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155 | Invariant with low-Q extrapolation |
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156 | """ |
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157 | # Create invariant object. Background and scale left as defaults. |
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158 | inv = invariant.InvariantCalculator(data=self.data) |
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159 | |
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160 | # Set the extrapolation parameters for the low-Q range |
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161 | |
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162 | # The npts parameter should have a good default. |
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163 | # The range parameter should be 'high' or 'low' |
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164 | # The function parameter should default to None. If it is None, |
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165 | # the method should pick a good default |
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166 | # (Guinier at low-Q and 1/q^4 at high-Q). |
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167 | # The method should also check for consistency of the extrapolation |
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168 | # and function parameters. For instance, you might not want to allow |
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169 | # 'high' and 'guinier'. |
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170 | # The power parameter (not shown below) should default to 4. |
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171 | inv.set_extrapolation(range='low', npts=10, function='guinier') |
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172 | |
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173 | # The version of the call without error |
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174 | # At this point, we could still compute Q* without extrapolation by |
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175 | # calling get_qstar with arguments, or with extrapolation=None. |
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176 | qstar = inv.get_qstar(extrapolation='low') |
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177 | |
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178 | # The version of the call with error |
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179 | qstar, qstar_err = inv.get_qstar_with_error(extrapolation='low') |
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180 | |
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181 | # Get the volume fraction and surface |
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182 | v, dv = inv.get_volume_fraction_with_error(contrast=2.6e-6) |
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183 | s, ds = inv.get_surface_with_error(contrast=2.6e-6, porod_const=2) |
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184 | |
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185 | # Test results |
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186 | self.assertAlmostEquals(qstar, 7.49e-5, 1) |
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187 | self.assertAlmostEquals(v, 0.005648401, 4) |
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188 | self.assertAlmostEquals(s , 941.7452, 3) |
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189 | |
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190 | def test_use_case_4(self): |
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191 | """ |
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192 | Invariant with high-Q extrapolation |
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193 | """ |
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194 | # Create invariant object. Background and scale left as defaults. |
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195 | inv = invariant.InvariantCalculator(data=self.data) |
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196 | |
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197 | # Set the extrapolation parameters for the high-Q range |
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198 | inv.set_extrapolation(range='high', npts=10, function='power_law', |
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199 | power=4) |
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200 | |
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201 | # The version of the call without error |
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202 | # The function parameter defaults to None, then is picked to be |
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203 | # 'power_law' for extrapolation='high' |
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204 | qstar = inv.get_qstar(extrapolation='high') |
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205 | |
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206 | # The version of the call with error |
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207 | qstar, qstar_err = inv.get_qstar_with_error(extrapolation='high') |
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208 | |
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209 | # Get the volume fraction and surface |
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210 | v, dv = inv.get_volume_fraction_with_error(contrast=2.6e-6) |
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211 | s, ds = inv.get_surface_with_error(contrast=2.6e-6, porod_const=2) |
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212 | |
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213 | # Test results |
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214 | self.assertAlmostEquals(qstar, 7.49e-5,2) |
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215 | self.assertAlmostEquals(v, 0.005952674, 3) |
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216 | self.assertAlmostEquals(s , 941.7452, 3) |
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217 | |
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218 | def test_use_case_5(self): |
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219 | """ |
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220 | Invariant with both high- and low-Q extrapolation |
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221 | """ |
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222 | # Create invariant object. Background and scale left as defaults. |
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223 | inv = invariant.InvariantCalculator(data=self.data) |
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224 | |
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225 | # Set the extrapolation parameters for the low- and high-Q ranges |
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226 | inv.set_extrapolation(range='low', npts=10, function='guinier') |
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227 | inv.set_extrapolation(range='high', npts=10, function='power_law', |
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228 | power=4) |
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229 | |
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230 | # The version of the call without error |
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231 | # The function parameter defaults to None, then is picked to be |
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232 | # 'power_law' for extrapolation='high' |
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233 | qstar = inv.get_qstar(extrapolation='both') |
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234 | |
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235 | # The version of the call with error |
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236 | qstar, qstar_err = inv.get_qstar_with_error(extrapolation='both') |
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237 | |
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238 | # Get the volume fraction and surface |
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239 | v, dv = inv.get_volume_fraction_with_error(contrast=2.6e-6) |
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240 | s, ds = inv.get_surface_with_error(contrast=2.6e-6, porod_const=2) |
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241 | |
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242 | # Test results |
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243 | self.assertAlmostEquals(qstar, 7.88981e-5,2) |
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244 | self.assertAlmostEquals(v, 0.005952674, 3) |
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245 | self.assertAlmostEquals(s , 941.7452, 3) |
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246 | |
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247 | def test_use_case_6(self): |
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248 | """ |
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249 | Invariant with high-Q extrapolation |
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250 | """ |
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251 | # Create invariant object. Background and scale left as defaults. |
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252 | inv = invariant.InvariantCalculator(data=self.data) |
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253 | |
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254 | # Set the extrapolation parameters for the high-Q range |
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255 | inv.set_extrapolation(range='low', npts=10, function='power_law', power=4) |
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256 | |
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257 | # The version of the call without error |
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258 | # The function parameter defaults to None, then is picked to be 'power_law' for extrapolation='high' |
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259 | qstar = inv.get_qstar(extrapolation='low') |
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260 | |
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261 | # The version of the call with error |
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262 | qstar, qstar_err = inv.get_qstar_with_error(extrapolation='low') |
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263 | |
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264 | # Get the volume fraction and surface |
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265 | v, dv = inv.get_volume_fraction_with_error(contrast=2.6e-6) |
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266 | s, ds = inv.get_surface_with_error(contrast=2.6e-6, porod_const=2) |
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267 | |
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268 | # Test results |
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269 | self.assertAlmostEquals(qstar, 7.49e-5,2) |
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270 | self.assertAlmostEquals(v, 0.005952674, 3) |
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271 | self.assertAlmostEquals(s , 941.7452, 3) |
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272 | |
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273 | |
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274 | class TestInvPinholeSmear(unittest.TestCase): |
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275 | """ |
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276 | Test pinhole smeared data for invariant computation |
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277 | """ |
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278 | def setUp(self): |
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279 | # data with smear info |
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280 | list = Loader().load("latex_smeared.xml") |
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281 | self.data_q_smear = list[0] |
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282 | |
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283 | def test_use_case_1(self): |
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284 | """ |
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285 | Invariant without extrapolation |
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286 | """ |
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287 | inv = invariant.InvariantCalculator(data=self.data_q_smear) |
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288 | qstar = inv.get_qstar() |
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289 | |
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290 | v = inv.get_volume_fraction(contrast=2.6e-6) |
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291 | s = inv.get_surface(contrast=2.6e-6, porod_const=2) |
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292 | # Test results |
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293 | self.assertAlmostEquals(qstar, 1.361677e-3, 4) |
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294 | self.assertAlmostEquals(v, 0.115352622, 2) |
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295 | self.assertAlmostEquals(s , 941.7452, 3 ) |
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296 | |
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297 | def test_use_case_2(self): |
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298 | """ |
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299 | Invariant without extrapolation. Invariant, volume fraction and surface |
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300 | are given with errors. |
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301 | """ |
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302 | # Create invariant object. Background and scale left as defaults. |
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303 | inv = invariant.InvariantCalculator(data=self.data_q_smear) |
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304 | |
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305 | # Get the invariant with errors |
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306 | qstar, qstar_err = inv.get_qstar_with_error() |
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307 | # Get the volume fraction and surface |
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308 | v, dv = inv.get_volume_fraction_with_error(contrast=2.6e-6) |
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309 | s, ds = inv.get_surface_with_error(contrast=2.6e-6, porod_const=2) |
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310 | # Test results |
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311 | self.assertAlmostEquals(qstar, 1.361677e-3, 4) |
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312 | self.assertAlmostEquals(v, 0.115352622, 2) |
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313 | self.assertAlmostEquals(s , 941.7452, 3 ) |
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314 | |
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315 | def test_use_case_3(self): |
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316 | """ |
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317 | Invariant with low-Q extrapolation |
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318 | """ |
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319 | # Create invariant object. Background and scale left as defaults. |
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320 | inv = invariant.InvariantCalculator(data=self.data_q_smear) |
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321 | # Set the extrapolation parameters for the low-Q range |
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322 | inv.set_extrapolation(range='low', npts=20, function='guinier') |
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323 | # The version of the call without error |
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324 | qstar = inv.get_qstar(extrapolation='low') |
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325 | # The version of the call with error |
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326 | qstar, qstar_err = inv.get_qstar_with_error(extrapolation='low') |
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327 | # Get the volume fraction and surface |
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328 | v, dv = inv.get_volume_fraction_with_error(contrast=2.6e-6) |
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329 | s, ds = inv.get_surface_with_error(contrast=2.6e-6, porod_const=2) |
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330 | |
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331 | # Test results |
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332 | self.assertAlmostEquals(qstar, 0.00138756,2) |
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333 | self.assertAlmostEquals(v, 0.117226896,2) |
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334 | self.assertAlmostEquals(s ,941.7452, 3) |
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335 | |
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336 | def test_use_case_4(self): |
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337 | """ |
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338 | Invariant with high-Q extrapolation |
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339 | """ |
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340 | # Create invariant object. Background and scale left as defaults. |
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341 | inv = invariant.InvariantCalculator(data=self.data_q_smear) |
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342 | # Set the extrapolation parameters for the high-Q range |
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343 | inv.set_extrapolation(range='high', npts=10, function='power_law', power=4) |
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344 | # The version of the call without error |
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345 | qstar = inv.get_qstar(extrapolation='high') |
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346 | # The version of the call with error |
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347 | qstar, qstar_err = inv.get_qstar_with_error(extrapolation='high') |
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348 | |
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349 | # Test results |
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350 | self.assertAlmostEquals(qstar, 0.0045773,2) |
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351 | |
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352 | def test_use_case_5(self): |
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353 | """ |
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354 | Invariant with both high- and low-Q extrapolation |
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355 | """ |
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356 | # Create invariant object. Background and scale left as defaults. |
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357 | inv = invariant.InvariantCalculator(data=self.data_q_smear) |
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358 | # Set the extrapolation parameters for the low- and high-Q ranges |
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359 | inv.set_extrapolation(range='low', npts=10, function='guinier') |
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360 | inv.set_extrapolation(range='high', npts=10, function='power_law', |
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361 | power=4) |
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362 | # The version of the call without error |
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363 | # The function parameter defaults to None, then is picked to be |
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364 | # 'power_law' for extrapolation='high' |
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365 | qstar = inv.get_qstar(extrapolation='both') |
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366 | # The version of the call with error |
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367 | qstar, qstar_err = inv.get_qstar_with_error(extrapolation='both') |
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368 | |
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369 | # Test results |
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370 | self.assertAlmostEquals(qstar, 0.00460319,3) |
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371 | |
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372 | |
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373 | if __name__ == '__main__': |
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374 | unittest.main(testRunner=unittest.TextTestRunner(verbosity=2)) |
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375 | |
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