1 | import sys |
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2 | import unittest |
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3 | import numpy |
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4 | |
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5 | from PyQt4 import QtGui |
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6 | from PyQt4 import QtCore |
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7 | from mock import MagicMock |
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8 | |
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9 | # set up import paths |
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10 | import path_prepare |
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11 | |
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12 | from UnitTesting.TestUtils import QtSignalSpy |
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13 | from sas.sasgui.guiframe.dataFitting import Data1D |
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14 | import sas.qtgui.Plotter as Plotter |
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15 | |
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16 | # Local |
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17 | from LinearFit import LinearFit |
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18 | |
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19 | app = QtGui.QApplication(sys.argv) |
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20 | |
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21 | class LinearFitTest(unittest.TestCase): |
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22 | '''Test the LinearFit''' |
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23 | def setUp(self): |
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24 | '''Create the LinearFit''' |
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25 | self.data = Data1D(x=[1.0, 2.0, 3.0], |
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26 | y=[10.0, 11.0, 12.0], |
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27 | dx=[0.1, 0.2, 0.3], |
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28 | dy=[0.1, 0.2, 0.3]) |
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29 | plotter = Plotter.Plotter(None, quickplot=True) |
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30 | self.widget = LinearFit(parent=plotter, data=self.data, xlabel="log10(x^2)", ylabel="log10(y)") |
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31 | |
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32 | def tearDown(self): |
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33 | '''Destroy the GUI''' |
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34 | self.widget.close() |
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35 | self.widget = None |
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36 | |
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37 | def testDefaults(self): |
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38 | '''Test the GUI in its default state''' |
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39 | self.assertIsInstance(self.widget, QtGui.QDialog) |
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40 | self.assertEqual(self.widget.windowTitle(), "Linear Fit") |
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41 | self.assertEqual(self.widget.txtA.text(), "1") |
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42 | self.assertEqual(self.widget.txtB.text(), "1") |
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43 | self.assertEqual(self.widget.txtAerr.text(), "0") |
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44 | self.assertEqual(self.widget.txtBerr.text(), "0") |
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45 | |
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46 | self.assertEqual(self.widget.lblRange.text(), "Fit range of log10(x^2)") |
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47 | |
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48 | def testFit(self): |
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49 | '''Test the fitting wrapper ''' |
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50 | # Catch the update signal |
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51 | self.widget.parent.emit = MagicMock() |
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52 | |
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53 | # Set some initial values |
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54 | self.widget.txtRangeMin.setText("1.0") |
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55 | self.widget.txtRangeMax.setText("3.0") |
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56 | self.widget.txtFitRangeMin.setText("1.0") |
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57 | self.widget.txtFitRangeMax.setText("3.0") |
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58 | # Run the fitting |
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59 | self.widget.fit(None) |
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60 | return_values = self.widget.parent.emit.call_args[0][1] |
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61 | # Compare |
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62 | self.assertItemsEqual(return_values[0], [1.0, 3.0]) |
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63 | self.assertItemsEqual(return_values[1], [10.004054329087303, 12.030439848443539]) |
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64 | |
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65 | # Set the log scale |
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66 | self.widget.x_is_log = True |
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67 | self.widget.fit(None) |
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68 | return_values = self.widget.parent.emit.call_args[0][1] |
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69 | # Compare |
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70 | self.assertItemsEqual(return_values[0], [1.0, 3.0]) |
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71 | self.assertItemsEqual(return_values[1], [9.9877329376711437, 11.843650824649025]) |
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72 | |
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73 | def testOrigData(self): |
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74 | ''' Assure the un-logged data is returned''' |
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75 | # log(x), log(y) |
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76 | self.widget.xminFit, self.widget.xmaxFit = self.widget.range() |
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77 | orig_x = [ 1., 2., 3.] |
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78 | orig_y = [1.0, 1.0413926851582251, 1.0791812460476249] |
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79 | orig_dy = [0.01, 0.018181818181818184, 0.024999999999999998] |
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80 | x, y, dy = self.widget.origData() |
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81 | |
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82 | self.assertItemsEqual(x, orig_x) |
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83 | self.assertItemsEqual(y, orig_y) |
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84 | self.assertItemsEqual(dy, orig_dy) |
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85 | |
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86 | # x, y |
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87 | self.widget.x_is_log = False |
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88 | self.widget.y_is_log = False |
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89 | self.widget.xminFit, self.widget.xmaxFit = self.widget.range() |
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90 | orig_x = [ 1., 2., 3.] |
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91 | orig_y = [10., 11., 12.] |
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92 | orig_dy = [0.1, 0.2, 0.3] |
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93 | x, y, dy = self.widget.origData() |
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94 | |
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95 | self.assertItemsEqual(x, orig_x) |
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96 | self.assertItemsEqual(y, orig_y) |
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97 | self.assertItemsEqual(dy, orig_dy) |
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98 | |
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99 | # x, log(y) |
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100 | self.widget.x_is_log = False |
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101 | self.widget.y_is_log = True |
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102 | self.widget.xminFit, self.widget.xmaxFit = self.widget.range() |
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103 | orig_x = [ 1., 2., 3.] |
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104 | orig_y = [1.0, 1.0413926851582251, 1.0791812460476249] |
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105 | orig_dy = [0.01, 0.018181818181818184, 0.024999999999999998] |
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106 | x, y, dy = self.widget.origData() |
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107 | |
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108 | self.assertItemsEqual(x, orig_x) |
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109 | self.assertItemsEqual(y, orig_y) |
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110 | self.assertItemsEqual(dy, orig_dy) |
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111 | |
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112 | def testCheckFitValues(self): |
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113 | '''Assure fit values are correct''' |
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114 | # Good values |
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115 | self.assertTrue(self.widget.checkFitValues(self.widget.txtFitRangeMin)) |
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116 | self.assertEqual(self.widget.txtFitRangeMin.palette().color(10).name(), "#f0f0f0") |
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117 | # Bad values |
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118 | self.widget.x_is_log = True |
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119 | self.widget.txtFitRangeMin.setText("-1.0") |
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120 | self.assertFalse(self.widget.checkFitValues(self.widget.txtFitRangeMin)) |
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121 | |
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122 | |
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123 | def testFloatInvTransform(self): |
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124 | '''Test the helper method for providing conversion function''' |
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125 | self.widget.xLabel="x" |
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126 | self.assertEqual(self.widget.floatInvTransform(5.0), 5.0) |
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127 | self.widget.xLabel="x^(2)" |
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128 | self.assertEqual(self.widget.floatInvTransform(25.0), 5.0) |
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129 | self.widget.xLabel="x^(4)" |
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130 | self.assertEqual(self.widget.floatInvTransform(81.0), 3.0) |
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131 | self.widget.xLabel="log10(x)" |
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132 | self.assertEqual(self.widget.floatInvTransform(2.0), 100.0) |
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133 | self.widget.xLabel="ln(x)" |
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134 | self.assertEqual(self.widget.floatInvTransform(1.0), numpy.exp(1)) |
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135 | self.widget.xLabel="log10(x^(4))" |
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136 | self.assertEqual(self.widget.floatInvTransform(4.0), 10.0) |
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137 | |
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138 | if __name__ == "__main__": |
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139 | unittest.main() |
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