1 | """ |
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2 | Widget/logic for smearing data. |
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3 | """ |
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4 | import copy |
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5 | import numpy as np |
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6 | from PyQt5 import QtCore |
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7 | from PyQt5 import QtGui |
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8 | from PyQt5 import QtWidgets |
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9 | |
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10 | from sas.sascalc.fit.qsmearing import smear_selection |
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11 | from sas.qtgui.Plotting.PlotterData import Data1D |
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12 | from sas.qtgui.Plotting.PlotterData import Data2D |
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13 | import sas.qtgui.Utilities.GuiUtils as GuiUtils |
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14 | |
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15 | # Local UI |
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16 | from sas.qtgui.Perspectives.Fitting.UI.SmearingWidgetUI import Ui_SmearingWidgetUI |
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17 | |
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18 | class DataWidgetMapper(QtWidgets.QDataWidgetMapper): |
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19 | """ |
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20 | Custom version of the standard QDataWidgetMapper allowing for proper |
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21 | response to index change in comboboxes |
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22 | """ |
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23 | def addMapping(self, widget, section, propertyName=None): |
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24 | if propertyName is None: |
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25 | super(DataWidgetMapper, self).addMapping(widget, section) |
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26 | else: |
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27 | super(DataWidgetMapper, self).addMapping(widget, section, propertyName) |
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28 | |
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29 | if isinstance(widget, QtWidgets.QComboBox): |
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30 | delegate = self.itemDelegate() |
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31 | widget.currentIndexChanged.connect(lambda: delegate.commitData.emit(widget)) |
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32 | |
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33 | SMEARING_1D = ["Custom Pinhole Smear", "Custom Slit Smear"] |
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34 | SMEARING_2D = ["Custom Pinhole Smear"] |
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35 | |
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36 | MODEL = [ |
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37 | 'SMEARING', |
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38 | 'PINHOLE_MIN', |
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39 | 'PINHOLE_MAX', |
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40 | 'ACCURACY'] |
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41 | ACCURACY_DICT={'Low': 'low', |
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42 | 'Medium': 'med', |
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43 | 'High': 'high', |
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44 | 'Extra high': 'xhigh'} |
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45 | |
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46 | DEFAULT_PINHOLE_UP=0.0 |
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47 | DEFAULT_PINHOLE_DOWN=0.0 |
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48 | |
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49 | class SmearingWidget(QtWidgets.QWidget, Ui_SmearingWidgetUI): |
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50 | smearingChangedSignal = QtCore.pyqtSignal() |
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51 | def __init__(self, parent=None): |
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52 | super(SmearingWidget, self).__init__() |
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53 | |
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54 | self.setupUi(self) |
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55 | |
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56 | # Local model for holding data |
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57 | self.model = None |
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58 | # Mapper for model update |
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59 | self.mapper = None |
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60 | # Data from the widget |
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61 | self.data = None |
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62 | self.current_smearer = None |
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63 | self.kernel_model = None |
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64 | |
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65 | # Let only floats in the line edits |
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66 | self.txtSmearDown.setValidator(GuiUtils.DoubleValidator()) |
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67 | self.txtSmearUp.setValidator(GuiUtils.DoubleValidator()) |
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68 | |
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69 | # Attach slots |
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70 | self.cbSmearing.currentIndexChanged.connect(self.onIndexChange) |
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71 | self.cbSmearing.setCurrentIndex(0) |
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72 | self.txtSmearUp.setText(str(DEFAULT_PINHOLE_UP)) |
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73 | self.txtSmearDown.setText(str(DEFAULT_PINHOLE_DOWN)) |
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74 | |
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75 | self.initModel() |
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76 | self.initMapper() |
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77 | |
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78 | def initModel(self): |
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79 | """ |
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80 | Initialize the state |
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81 | """ |
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82 | self.model = QtGui.QStandardItemModel() |
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83 | for model_item in range(len(MODEL)): |
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84 | self.model.setItem(model_item, QtGui.QStandardItem()) |
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85 | # Attach slot |
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86 | self.model.dataChanged.connect(self.onModelChange) |
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87 | |
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88 | def initMapper(self): |
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89 | """ |
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90 | Initialize model item <-> UI element mapping |
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91 | """ |
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92 | self.mapper = DataWidgetMapper(self) |
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93 | |
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94 | self.mapper.setModel(self.model) |
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95 | self.mapper.setOrientation(QtCore.Qt.Vertical) |
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96 | |
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97 | self.mapper.addMapping(self.txtSmearUp, MODEL.index('PINHOLE_MIN')) |
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98 | self.mapper.addMapping(self.txtSmearDown, MODEL.index('PINHOLE_MAX')) |
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99 | self.mapper.addMapping(self.cbAccuracy, MODEL.index('ACCURACY')) |
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100 | |
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101 | self.mapper.toFirst() |
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102 | |
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103 | def updateData(self, data=None): |
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104 | """ |
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105 | Update control elements based on data and model passed |
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106 | """ |
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107 | self.cbSmearing.clear() |
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108 | self.cbSmearing.addItem("None") |
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109 | self.gAccuracy.setVisible(False) |
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110 | self.data = data |
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111 | if data is None: |
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112 | self.setElementsVisibility(False) |
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113 | |
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114 | def updateKernelModel(self, kernel_model=None): |
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115 | """ |
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116 | Update the model |
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117 | """ |
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118 | self.kernel_model = kernel_model |
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119 | if self.data is None: |
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120 | self.setElementsVisibility(False) |
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121 | return |
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122 | if self.kernel_model is None: |
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123 | return |
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124 | elif isinstance(self.data, Data1D): |
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125 | self.cbSmearing.addItems(SMEARING_1D) |
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126 | else: |
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127 | self.cbSmearing.addItems(SMEARING_2D) |
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128 | self.cbSmearing.setCurrentIndex(0) |
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129 | |
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130 | def smearer(self): |
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131 | """ Returns the current smearer """ |
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132 | return self.current_smearer |
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133 | |
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134 | def onIndexChange(self, index): |
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135 | """ |
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136 | Callback for smearing combobox index change |
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137 | """ |
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138 | if index == 0: |
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139 | self.setElementsVisibility(False) |
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140 | self.current_smearer = None |
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141 | elif index == 1: |
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142 | self.setElementsVisibility(True) |
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143 | self.setPinholeLabels() |
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144 | self.onPinholeSmear() |
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145 | elif index == 2: |
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146 | self.setElementsVisibility(True) |
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147 | self.setSlitLabels() |
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148 | self.onSlitSmear() |
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149 | self.smearingChangedSignal.emit() |
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150 | |
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151 | def onModelChange(self): |
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152 | """ |
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153 | Respond to model change by notifying any listeners |
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154 | """ |
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155 | # Recalculate the smearing |
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156 | index = self.cbSmearing.currentIndex() |
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157 | self.onIndexChange(index) |
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158 | |
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159 | def setElementsVisibility(self, visible): |
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160 | """ |
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161 | Labels and linedits visibility control |
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162 | """ |
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163 | self.lblSmearDown.setVisible(visible) |
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164 | self.lblSmearUp.setVisible(visible) |
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165 | self.txtSmearDown.setVisible(visible) |
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166 | self.txtSmearUp.setVisible(visible) |
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167 | self.lblUnitUp.setVisible(visible) |
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168 | self.lblUnitDown.setVisible(visible) |
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169 | self.setAccuracyVisibility() |
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170 | |
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171 | def setAccuracyVisibility(self): |
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172 | """ |
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173 | Accuracy combobox visibility |
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174 | """ |
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175 | if isinstance(self.data, Data2D) and self.cbSmearing.currentIndex() == 1: |
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176 | self.gAccuracy.setVisible(True) |
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177 | else: |
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178 | self.gAccuracy.setVisible(False) |
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179 | |
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180 | def setPinholeLabels(self): |
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181 | """ |
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182 | Use pinhole labels |
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183 | """ |
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184 | self.txtSmearDown.setVisible(False) |
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185 | self.lblSmearDown.setText('') |
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186 | self.lblUnitDown.setText('') |
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187 | if isinstance(self.data, Data2D): |
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188 | self.lblUnitUp.setText('<html><head/><body><p>Ã
<span style=" vertical-align:super;">-1</span></p></body></html>') |
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189 | self.lblSmearUp.setText('<html><head/><body><p><dQ<span style=" vertical-align:sub;">low</span>></p></body></html>') |
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190 | else: |
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191 | self.lblSmearUp.setText('<html><head/><body><p>dQ<span style=" vertical-align:sub;">%</span></p></body></html>') |
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192 | self.lblUnitUp.setText('%') |
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193 | |
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194 | def setSlitLabels(self): |
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195 | """ |
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196 | Use pinhole labels |
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197 | """ |
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198 | self.lblSmearUp.setText('Slit height') |
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199 | self.lblSmearDown.setText('Slit width') |
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200 | self.lblUnitUp.setText('<html><head/><body><p>Ã
<span style=" vertical-align:super;">-1</span></p></body></html>') |
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201 | self.lblUnitDown.setText('<html><head/><body><p>Ã
<span style=" vertical-align:super;">-1</span></p></body></html>') |
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202 | |
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203 | def state(self): |
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204 | """ |
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205 | Returns current state of controls |
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206 | """ |
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207 | smearing = self.cbSmearing.currentText() |
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208 | accuracy = "" |
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209 | d_down = None |
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210 | d_up = None |
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211 | if smearing != "None": |
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212 | accuracy = str(self.model.item(MODEL.index('ACCURACY')).text()) |
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213 | try: |
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214 | d_down = float(self.model.item(MODEL.index('PINHOLE_MIN')).text()) |
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215 | except ValueError: |
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216 | d_down = None |
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217 | try: |
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218 | d_up = float(self.model.item(MODEL.index('PINHOLE_MAX')).text()) |
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219 | except ValueError: |
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220 | d_up = None |
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221 | |
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222 | return (smearing, accuracy, d_down, d_up) |
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223 | |
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224 | def setState(self, smearing, accuracy, d_down, d_up): |
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225 | """ |
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226 | Sets new values for the controls |
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227 | """ |
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228 | # Update the model -> controls update automatically |
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229 | #if smearing is not None: |
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230 | #self.model.item(MODEL.index('SMEARING')).setText(smearing) |
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231 | if accuracy is not None: |
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232 | self.model.item(MODEL.index('ACCURACY')).setText(accuracy) |
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233 | if d_down is not None: |
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234 | self.model.item(MODEL.index('PINHOLE_MIN')).setText(d_down) |
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235 | if d_up is not None: |
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236 | self.model.item(MODEL.index('PINHOLE_MAX')).setText(d_up) |
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237 | |
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238 | def onPinholeSmear(self): |
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239 | """ |
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240 | Create a custom pinhole smear object that will change the way residuals |
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241 | are compute when fitting |
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242 | """ |
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243 | _, accuracy, d_percent, _ = self.state() |
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244 | if d_percent is None or d_percent == 0.0: |
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245 | self.current_smearer=None |
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246 | return |
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247 | percent = d_percent/100.0 |
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248 | # copy data |
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249 | data = copy.deepcopy(self.data) |
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250 | if isinstance(self.data, Data2D): |
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251 | len_data = len(data.data) |
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252 | data.dqx_data = np.zeros(len_data) |
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253 | data.dqy_data = np.zeros(len_data) |
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254 | data.dqx_data[data.dqx_data == 0] = percent * data.qx_data |
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255 | data.dqy_data[data.dqy_data == 0] = percent * data.qy_data |
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256 | else: |
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257 | len_data = len(data.x) |
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258 | data.dx = np.zeros(len_data) |
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259 | data.dx = percent * data.x |
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260 | data.dxl = None |
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261 | data.dxw = None |
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262 | |
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263 | self.current_smearer = smear_selection(data, self.kernel_model) |
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264 | # need to set accuracy for 2D |
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265 | if isinstance(self.data, Data2D): |
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266 | backend_accuracy = ACCURACY_DICT.get(accuracy) |
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267 | if backend_accuracy: |
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268 | self.current_smearer.set_accuracy(accuracy=backend_accuracy) |
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269 | |
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270 | def onSlitSmear(self): |
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271 | """ |
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272 | Create a custom slit smear object that will change the way residuals |
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273 | are compute when fitting |
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274 | """ |
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275 | _, accuracy, d_height, d_width = self.state() |
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276 | # Check changes in slit width |
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277 | if d_width is None: |
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278 | d_width = 0.0 |
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279 | if d_height is None: |
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280 | d_height = 0.0 |
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281 | |
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282 | if isinstance(self.data, Data2D): |
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283 | return |
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284 | # make sure once more if it is smearer |
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285 | data = copy.deepcopy(self.data) |
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286 | data_len = len(data.x) |
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287 | data.dx = None |
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288 | data.dxl = None |
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289 | data.dxw = None |
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290 | |
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291 | try: |
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292 | self.dxl = d_height |
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293 | data.dxl = self.dxl * np.ones(data_len) |
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294 | except: |
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295 | self.dxl = None |
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296 | data.dxl = np.zeros(data_len) |
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297 | try: |
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298 | self.dxw = d_width |
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299 | data.dxw = self.dxw * np.ones(data_len) |
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300 | except: |
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301 | self.dxw = None |
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302 | data.dxw = np.zeros(data_len) |
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303 | |
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304 | self.current_smearer = smear_selection(data, self.kernel_model) |
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