1 | import sys |
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2 | import os |
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3 | import numpy |
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4 | import logging |
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5 | import time |
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6 | |
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7 | from PyQt5 import QtCore |
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8 | from PyQt5 import QtGui |
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9 | from PyQt5 import QtWidgets |
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10 | |
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11 | from twisted.internet import threads |
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12 | |
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13 | import sas.qtgui.Utilities.GuiUtils as GuiUtils |
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14 | from sas.qtgui.Utilities.GenericReader import GenReader |
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15 | from sas.sascalc.dataloader.data_info import Detector |
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16 | from sas.sascalc.dataloader.data_info import Source |
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17 | from sas.sascalc.calculator import sas_gen |
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18 | from sas.qtgui.Plotting.PlotterBase import PlotterBase |
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19 | from sas.qtgui.Plotting.Plotter2D import Plotter2D |
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20 | from sas.qtgui.Plotting.Plotter import Plotter |
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21 | |
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22 | from sas.qtgui.Plotting.PlotterData import Data1D |
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23 | from sas.qtgui.Plotting.PlotterData import Data2D |
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24 | |
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25 | # Local UI |
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26 | from .UI.GenericScatteringCalculator import Ui_GenericScatteringCalculator |
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27 | |
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28 | _Q1D_MIN = 0.001 |
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29 | |
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30 | |
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31 | class GenericScatteringCalculator(QtWidgets.QDialog, Ui_GenericScatteringCalculator): |
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32 | |
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33 | trigger_plot_3d = QtCore.pyqtSignal() |
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34 | |
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35 | def __init__(self, parent=None): |
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36 | super(GenericScatteringCalculator, self).__init__() |
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37 | self.setupUi(self) |
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38 | self.manager = parent |
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39 | self.communicator = self.manager.communicator() |
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40 | self.model = sas_gen.GenSAS() |
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41 | self.omf_reader = sas_gen.OMFReader() |
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42 | self.sld_reader = sas_gen.SLDReader() |
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43 | self.pdb_reader = sas_gen.PDBReader() |
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44 | self.reader = None |
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45 | self.sld_data = None |
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46 | |
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47 | self.parameters = [] |
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48 | self.data = None |
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49 | self.datafile = None |
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50 | self.file_name = '' |
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51 | self.ext = None |
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52 | self.default_shape = str(self.cbShape.currentText()) |
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53 | self.is_avg = False |
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54 | self.data_to_plot = None |
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55 | self.graph_num = 1 # index for name of graph |
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56 | |
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57 | # combox box |
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58 | self.cbOptionsCalc.setVisible(False) |
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59 | |
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60 | # push buttons |
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61 | self.cmdClose.clicked.connect(self.accept) |
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62 | self.cmdHelp.clicked.connect(self.onHelp) |
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63 | |
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64 | self.cmdLoad.clicked.connect(self.loadFile) |
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65 | self.cmdCompute.clicked.connect(self.onCompute) |
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66 | self.cmdReset.clicked.connect(self.onReset) |
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67 | self.cmdSave.clicked.connect(self.onSaveFile) |
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68 | |
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69 | self.cmdDraw.clicked.connect(lambda: self.plot3d(has_arrow=True)) |
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70 | self.cmdDrawpoints.clicked.connect(lambda: self.plot3d(has_arrow=False)) |
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71 | |
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72 | # validators |
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73 | # scale, volume and background must be positive |
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74 | validat_regex_pos = QtCore.QRegExp('^[+]?([.]\d+|\d+([.]\d+)?)$') |
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75 | self.txtScale.setValidator(QtGui.QRegExpValidator(validat_regex_pos, |
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76 | self.txtScale)) |
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77 | self.txtBackground.setValidator(QtGui.QRegExpValidator( |
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78 | validat_regex_pos, self.txtBackground)) |
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79 | self.txtTotalVolume.setValidator(QtGui.QRegExpValidator( |
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80 | validat_regex_pos, self.txtTotalVolume)) |
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81 | |
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82 | # fraction of spin up between 0 and 1 |
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83 | validat_regexbetween0_1 = QtCore.QRegExp('^(0(\.\d*)*|1(\.0+)?)$') |
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84 | self.txtUpFracIn.setValidator( |
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85 | QtGui.QRegExpValidator(validat_regexbetween0_1, self.txtUpFracIn)) |
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86 | self.txtUpFracOut.setValidator( |
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87 | QtGui.QRegExpValidator(validat_regexbetween0_1, self.txtUpFracOut)) |
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88 | |
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89 | # 0 < Qmax <= 1000 |
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90 | validat_regex_q = QtCore.QRegExp('^1000$|^[+]?(\d{1,3}([.]\d+)?)$') |
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91 | self.txtQxMax.setValidator(QtGui.QRegExpValidator(validat_regex_q, |
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92 | self.txtQxMax)) |
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93 | self.txtQxMax.textChanged.connect(self.check_value) |
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94 | |
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95 | # 2 <= Qbin <= 1000 |
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96 | self.txtNoQBins.setValidator(QtGui.QRegExpValidator(validat_regex_q, |
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97 | self.txtNoQBins)) |
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98 | self.txtNoQBins.textChanged.connect(self.check_value) |
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99 | |
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100 | # plots - 3D in real space |
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101 | self.trigger_plot_3d.connect(lambda: self.plot3d(has_arrow=False)) |
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102 | |
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103 | # TODO the option Ellipsoid has not been implemented |
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104 | self.cbShape.currentIndexChanged.connect(self.selectedshapechange) |
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105 | |
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106 | # New font to display angstrom symbol |
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107 | new_font = 'font-family: -apple-system, "Helvetica Neue", "Ubuntu";' |
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108 | self.lblUnitSolventSLD.setStyleSheet(new_font) |
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109 | self.lblUnitVolume.setStyleSheet(new_font) |
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110 | self.lbl5.setStyleSheet(new_font) |
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111 | self.lblUnitMx.setStyleSheet(new_font) |
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112 | self.lblUnitMy.setStyleSheet(new_font) |
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113 | self.lblUnitMz.setStyleSheet(new_font) |
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114 | self.lblUnitNucl.setStyleSheet(new_font) |
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115 | self.lblUnitx.setStyleSheet(new_font) |
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116 | self.lblUnity.setStyleSheet(new_font) |
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117 | self.lblUnitz.setStyleSheet(new_font) |
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118 | |
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119 | def selectedshapechange(self): |
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120 | """ |
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121 | TODO Temporary solution to display information about option 'Ellipsoid' |
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122 | """ |
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123 | print("The option Ellipsoid has not been implemented yet.") |
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124 | self.communicator.statusBarUpdateSignal.emit( |
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125 | "The option Ellipsoid has not been implemented yet.") |
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126 | |
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127 | def loadFile(self): |
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128 | """ |
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129 | Open menu to choose the datafile to load |
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130 | Only extensions .SLD, .PDB, .OMF, .sld, .pdb, .omf |
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131 | """ |
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132 | try: |
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133 | self.datafile = QtWidgets.QFileDialog.getOpenFileName( |
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134 | self, "Choose a file", "", "All Gen files (*.OMF *.omf) ;;" |
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135 | "SLD files (*.SLD *.sld);;PDB files (*.pdb *.PDB);; " |
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136 | "OMF files (*.OMF *.omf);; " |
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137 | "All files (*.*)")[0] |
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138 | if self.datafile: |
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139 | self.default_shape = str(self.cbShape.currentText()) |
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140 | self.file_name = os.path.basename(str(self.datafile)) |
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141 | self.ext = os.path.splitext(str(self.datafile))[1] |
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142 | if self.ext in self.omf_reader.ext: |
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143 | loader = self.omf_reader |
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144 | elif self.ext in self.sld_reader.ext: |
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145 | loader = self.sld_reader |
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146 | elif self.ext in self.pdb_reader.ext: |
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147 | loader = self.pdb_reader |
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148 | else: |
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149 | loader = None |
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150 | # disable some entries depending on type of loaded file |
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151 | # (according to documentation) |
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152 | if self.ext.lower() in ['.sld', '.omf', '.pdb']: |
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153 | self.txtUpFracIn.setEnabled(False) |
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154 | self.txtUpFracOut.setEnabled(False) |
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155 | self.txtUpTheta.setEnabled(False) |
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156 | |
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157 | if self.reader is not None and self.reader.isrunning(): |
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158 | self.reader.stop() |
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159 | self.cmdLoad.setEnabled(False) |
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160 | self.cmdLoad.setText('Loading...') |
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161 | self.communicator.statusBarUpdateSignal.emit( |
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162 | "Loading File {}".format(os.path.basename( |
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163 | str(self.datafile)))) |
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164 | self.reader = GenReader(path=str(self.datafile), loader=loader, |
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165 | completefn=self.complete_loading, |
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166 | updatefn=self.load_update) |
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167 | self.reader.queue() |
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168 | except (RuntimeError, IOError): |
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169 | log_msg = "Generic SAS Calculator: %s" % sys.exc_info()[1] |
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170 | logging.info(log_msg) |
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171 | raise |
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172 | return |
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173 | |
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174 | def load_update(self): |
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175 | """ Legacy function used in GenRead """ |
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176 | if self.reader.isrunning(): |
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177 | status_type = "progress" |
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178 | else: |
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179 | status_type = "stop" |
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180 | logging.info(status_type) |
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181 | |
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182 | def complete_loading(self, data=None): |
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183 | """ Function used in GenRead""" |
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184 | self.cbShape.setEnabled(False) |
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185 | try: |
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186 | is_pdbdata = False |
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187 | self.txtData.setText(os.path.basename(str(self.datafile))) |
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188 | self.is_avg = False |
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189 | if self.ext in self.omf_reader.ext: |
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190 | gen = sas_gen.OMF2SLD() |
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191 | gen.set_data(data) |
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192 | self.sld_data = gen.get_magsld() |
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193 | self.check_units() |
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194 | elif self.ext in self.sld_reader.ext: |
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195 | self.sld_data = data |
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196 | elif self.ext in self.pdb_reader.ext: |
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197 | self.sld_data = data |
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198 | is_pdbdata = True |
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199 | # Display combobox of orientation only for pdb data |
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200 | self.cbOptionsCalc.setVisible(is_pdbdata) |
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201 | self.update_gui() |
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202 | except IOError: |
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203 | log_msg = "Loading Error: " \ |
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204 | "This file format is not supported for GenSAS." |
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205 | logging.info(log_msg) |
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206 | raise |
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207 | except ValueError: |
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208 | log_msg = "Could not find any data" |
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209 | logging.info(log_msg) |
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210 | raise |
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211 | logging.info("Load Complete") |
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212 | self.cmdLoad.setEnabled(True) |
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213 | self.cmdLoad.setText('Load') |
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214 | self.trigger_plot_3d.emit() |
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215 | |
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216 | def check_units(self): |
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217 | """ |
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218 | Check if the units from the OMF file correspond to the default ones |
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219 | displayed on the interface. |
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220 | If not, modify the GUI with the correct unit |
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221 | """ |
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222 | # TODO: adopt the convention of font and symbol for the updated values |
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223 | if sas_gen.OMFData().valueunit != 'A^(-2)': |
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224 | value_unit = sas_gen.OMFData().valueunit |
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225 | self.lbl_unitMx.setText(value_unit) |
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226 | self.lbl_unitMy.setText(value_unit) |
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227 | self.lbl_unitMz.setText(value_unit) |
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228 | self.lbl_unitNucl.setText(value_unit) |
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229 | if sas_gen.OMFData().meshunit != 'A': |
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230 | mesh_unit = sas_gen.OMFData().meshunit |
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231 | self.lbl_unitx.setText(mesh_unit) |
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232 | self.lbl_unity.setText(mesh_unit) |
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233 | self.lbl_unitz.setText(mesh_unit) |
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234 | self.lbl_unitVolume.setText(mesh_unit+"^3") |
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235 | |
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236 | def check_value(self): |
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237 | """Check range of text edits for QMax and Number of Qbins """ |
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238 | text_edit = self.sender() |
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239 | text_edit.setStyleSheet('background-color: rgb(255, 255, 255);') |
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240 | if text_edit.text(): |
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241 | value = float(str(text_edit.text())) |
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242 | if text_edit == self.txtQxMax: |
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243 | if value <= 0 or value > 1000: |
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244 | text_edit.setStyleSheet('background-color: rgb(255, 182, 193);') |
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245 | else: |
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246 | text_edit.setStyleSheet('background-color: rgb(255, 255, 255);') |
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247 | elif text_edit == self.txtNoQBins: |
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248 | if value < 2 or value > 1000: |
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249 | self.txtNoQBins.setStyleSheet('background-color: rgb(255, 182, 193);') |
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250 | else: |
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251 | self.txtNoQBins.setStyleSheet('background-color: rgb(255, 255, 255);') |
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252 | |
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253 | def update_gui(self): |
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254 | """ Update the interface with values from loaded data """ |
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255 | self.model.set_is_avg(self.is_avg) |
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256 | self.model.set_sld_data(self.sld_data) |
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257 | self.model.params['total_volume'] = len(self.sld_data.sld_n)*self.sld_data.vol_pix[0] |
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258 | |
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259 | # add condition for activation of save button |
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260 | self.cmdSave.setEnabled(True) |
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261 | |
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262 | # activation of 3D plots' buttons (with and without arrows) |
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263 | self.cmdDraw.setEnabled(self.sld_data is not None) |
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264 | self.cmdDrawpoints.setEnabled(self.sld_data is not None) |
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265 | |
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266 | self.txtScale.setText(str(self.model.params['scale'])) |
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267 | self.txtBackground.setText(str(self.model.params['background'])) |
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268 | self.txtSolventSLD.setText(str(self.model.params['solvent_SLD'])) |
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269 | |
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270 | # Volume to write to interface: npts x volume of first pixel |
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271 | self.txtTotalVolume.setText(str(len(self.sld_data.sld_n)*self.sld_data.vol_pix[0])) |
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272 | |
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273 | self.txtUpFracIn.setText(str(self.model.params['Up_frac_in'])) |
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274 | self.txtUpFracOut.setText(str(self.model.params['Up_frac_out'])) |
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275 | self.txtUpTheta.setText(str(self.model.params['Up_theta'])) |
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276 | |
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277 | self.txtNoPixels.setText(str(len(self.sld_data.sld_n))) |
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278 | self.txtNoPixels.setEnabled(False) |
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279 | |
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280 | list_parameters = ['sld_mx', 'sld_my', 'sld_mz', 'sld_n', 'xnodes', |
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281 | 'ynodes', 'znodes', 'xstepsize', 'ystepsize', |
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282 | 'zstepsize'] |
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283 | list_gui_button = [self.txtMx, self.txtMy, self.txtMz, self.txtNucl, |
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284 | self.txtXnodes, self.txtYnodes, self.txtZnodes, |
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285 | self.txtXstepsize, self.txtYstepsize, |
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286 | self.txtZstepsize] |
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287 | |
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288 | # Fill right hand side of GUI |
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289 | for indx, item in enumerate(list_parameters): |
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290 | if getattr(self.sld_data, item) is None: |
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291 | list_gui_button[indx].setText('NaN') |
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292 | else: |
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293 | value = getattr(self.sld_data, item) |
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294 | if isinstance(value, numpy.ndarray): |
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295 | item_for_gui = str(GuiUtils.formatNumber(numpy.average(value), True)) |
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296 | else: |
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297 | item_for_gui = str(GuiUtils.formatNumber(value, True)) |
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298 | list_gui_button[indx].setText(item_for_gui) |
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299 | |
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300 | # Enable / disable editing of right hand side of GUI |
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301 | for indx, item in enumerate(list_parameters): |
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302 | if indx < 4: |
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303 | # this condition only applies to Mx,y,z and Nucl |
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304 | value = getattr(self.sld_data, item) |
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305 | enable = self.sld_data.pix_type == 'pixel' \ |
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306 | and numpy.min(value) == numpy.max(value) |
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307 | else: |
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308 | enable = not self.sld_data.is_data |
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309 | list_gui_button[indx].setEnabled(enable) |
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310 | |
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311 | def write_new_values_from_gui(self): |
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312 | """ |
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313 | update parameters using modified inputs from GUI |
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314 | used before computing |
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315 | """ |
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316 | if self.txtScale.isModified(): |
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317 | self.model.params['scale'] = float(self.txtScale.text()) |
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318 | |
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319 | if self.txtBackground.isModified(): |
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320 | self.model.params['background'] = float(self.txtBackground.text()) |
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321 | |
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322 | if self.txtSolventSLD.isModified(): |
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323 | self.model.params['solvent_SLD'] = float(self.txtSolventSLD.text()) |
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324 | |
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325 | # Different condition for total volume to get correct volume after |
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326 | # applying set_sld_data in compute |
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327 | if self.txtTotalVolume.isModified() \ |
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328 | or self.model.params['total_volume'] != float(self.txtTotalVolume.text()): |
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329 | self.model.params['total_volume'] = float(self.txtTotalVolume.text()) |
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330 | |
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331 | if self.txtUpFracIn.isModified(): |
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332 | self.model.params['Up_frac_in'] = float(self.txtUpFracIn.text()) |
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333 | |
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334 | if self.txtUpFracOut.isModified(): |
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335 | self.model.params['Up_frac_out'] = float(self.txtUpFracOut.text()) |
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336 | |
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337 | if self.txtUpTheta.isModified(): |
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338 | self.model.params['Up_theta'] = float(self.txtUpTheta.text()) |
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339 | |
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340 | if self.txtMx.isModified(): |
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341 | self.sld_data.sld_mx = float(self.txtMx.text())*\ |
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342 | numpy.ones(len(self.sld_data.sld_mx)) |
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343 | |
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344 | if self.txtMy.isModified(): |
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345 | self.sld_data.sld_my = float(self.txtMy.text())*\ |
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346 | numpy.ones(len(self.sld_data.sld_my)) |
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347 | |
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348 | if self.txtMz.isModified(): |
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349 | self.sld_data.sld_mz = float(self.txtMz.text())*\ |
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350 | numpy.ones(len(self.sld_data.sld_mz)) |
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351 | |
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352 | if self.txtNucl.isModified(): |
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353 | self.sld_data.sld_n = float(self.txtNucl.text())*\ |
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354 | numpy.ones(len(self.sld_data.sld_n)) |
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355 | |
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356 | if self.txtXnodes.isModified(): |
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357 | self.sld_data.xnodes = int(self.txtXnodes.text()) |
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358 | |
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359 | if self.txtYnodes.isModified(): |
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360 | self.sld_data.ynodes = int(self.txtYnodes.text()) |
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361 | |
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362 | if self.txtZnodes.isModified(): |
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363 | self.sld_data.znodes = int(self.txtZnodes.text()) |
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364 | |
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365 | if self.txtXstepsize.isModified(): |
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366 | self.sld_data.xstepsize = float(self.txtXstepsize.text()) |
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367 | |
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368 | if self.txtYstepsize.isModified(): |
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369 | self.sld_data.ystepsize = float(self.txtYstepsize.text()) |
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370 | |
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371 | if self.txtZstepsize.isModified(): |
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372 | self.sld_data.zstepsize = float(self.txtZstepsize.text()) |
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373 | |
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374 | if self.cbOptionsCalc.isVisible(): |
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375 | self.is_avg = (self.cbOptionsCalc.currentIndex() == 1) |
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376 | |
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377 | def onHelp(self): |
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378 | """ |
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379 | Bring up the Generic Scattering calculator Documentation whenever |
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380 | the HELP button is clicked. |
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381 | Calls Documentation Window with the path of the location within the |
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382 | documentation tree (after /doc/ ....". |
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383 | """ |
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384 | try: |
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385 | location = GuiUtils.HELP_DIRECTORY_LOCATION + \ |
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386 | "/user/sasgui/perspectives/calculator/sas_calculator_help.html" |
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387 | self.manager._helpView.load(QtCore.QUrl(location)) |
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388 | self.manager._helpView.show() |
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389 | except AttributeError: |
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390 | # No manager defined - testing and standalone runs |
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391 | pass |
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392 | |
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393 | def onReset(self): |
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394 | """ Reset the inputs of textEdit to default values """ |
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395 | try: |
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396 | # reset values in textedits |
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397 | self.txtUpFracIn.setText("1.0") |
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398 | self.txtUpFracOut.setText("1.0") |
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399 | self.txtUpTheta.setText("0.0") |
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400 | self.txtBackground.setText("0.0") |
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401 | self.txtScale.setText("1.0") |
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402 | self.txtSolventSLD.setText("0.0") |
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403 | self.txtTotalVolume.setText("216000.0") |
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404 | self.txtNoQBins.setText("50") |
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405 | self.txtQxMax.setText("0.3") |
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406 | self.txtNoPixels.setText("1000") |
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407 | self.txtMx.setText("0") |
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408 | self.txtMy.setText("0") |
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409 | self.txtMz.setText("0") |
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410 | self.txtNucl.setText("6.97e-06") |
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411 | self.txtXnodes.setText("10") |
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412 | self.txtYnodes.setText("10") |
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413 | self.txtZnodes.setText("10") |
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414 | self.txtXstepsize.setText("6") |
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415 | self.txtYstepsize.setText("6") |
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416 | self.txtZstepsize.setText("6") |
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417 | # reset Load button and textedit |
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418 | self.txtData.setText('Default SLD Profile') |
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419 | self.cmdLoad.setEnabled(True) |
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420 | self.cmdLoad.setText('Load') |
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421 | # reset option for calculation |
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422 | self.cbOptionsCalc.setCurrentIndex(0) |
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423 | self.cbOptionsCalc.setVisible(False) |
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424 | # reset shape button |
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425 | self.cbShape.setCurrentIndex(0) |
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426 | self.cbShape.setEnabled(True) |
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427 | # reset compute button |
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428 | self.cmdCompute.setText('Compute') |
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429 | self.cmdCompute.setEnabled(True) |
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430 | # TODO reload default data set |
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431 | self._create_default_sld_data() |
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432 | |
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433 | finally: |
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434 | pass |
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435 | |
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436 | def _create_default_2d_data(self): |
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437 | """ |
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438 | Copied from previous version |
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439 | Create 2D data by default |
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440 | :warning: This data is never plotted. |
---|
441 | """ |
---|
442 | self.qmax_x = float(self.txtQxMax.text()) |
---|
443 | self.npts_x = int(self.txtNoQBins.text()) |
---|
444 | self.data = Data2D() |
---|
445 | self.data.is_data = False |
---|
446 | # # Default values |
---|
447 | self.data.detector.append(Detector()) |
---|
448 | index = len(self.data.detector) - 1 |
---|
449 | self.data.detector[index].distance = 8000 # mm |
---|
450 | self.data.source.wavelength = 6 # A |
---|
451 | self.data.detector[index].pixel_size.x = 5 # mm |
---|
452 | self.data.detector[index].pixel_size.y = 5 # mm |
---|
453 | self.data.detector[index].beam_center.x = self.qmax_x |
---|
454 | self.data.detector[index].beam_center.y = self.qmax_x |
---|
455 | xmax = self.qmax_x |
---|
456 | xmin = -xmax |
---|
457 | ymax = self.qmax_x |
---|
458 | ymin = -ymax |
---|
459 | qstep = self.npts_x |
---|
460 | |
---|
461 | x = numpy.linspace(start=xmin, stop=xmax, num=qstep, endpoint=True) |
---|
462 | y = numpy.linspace(start=ymin, stop=ymax, num=qstep, endpoint=True) |
---|
463 | # use data info instead |
---|
464 | new_x = numpy.tile(x, (len(y), 1)) |
---|
465 | new_y = numpy.tile(y, (len(x), 1)) |
---|
466 | new_y = new_y.swapaxes(0, 1) |
---|
467 | # all data require now in 1d array |
---|
468 | qx_data = new_x.flatten() |
---|
469 | qy_data = new_y.flatten() |
---|
470 | q_data = numpy.sqrt(qx_data * qx_data + qy_data * qy_data) |
---|
471 | # set all True (standing for unmasked) as default |
---|
472 | mask = numpy.ones(len(qx_data), dtype=bool) |
---|
473 | self.data.source = Source() |
---|
474 | self.data.data = numpy.ones(len(mask)) |
---|
475 | self.data.err_data = numpy.ones(len(mask)) |
---|
476 | self.data.qx_data = qx_data |
---|
477 | self.data.qy_data = qy_data |
---|
478 | self.data.q_data = q_data |
---|
479 | self.data.mask = mask |
---|
480 | # store x and y bin centers in q space |
---|
481 | self.data.x_bins = x |
---|
482 | self.data.y_bins = y |
---|
483 | # max and min taking account of the bin sizes |
---|
484 | self.data.xmin = xmin |
---|
485 | self.data.xmax = xmax |
---|
486 | self.data.ymin = ymin |
---|
487 | self.data.ymax = ymax |
---|
488 | |
---|
489 | def _create_default_sld_data(self): |
---|
490 | """ |
---|
491 | Copied from previous version |
---|
492 | Making default sld-data |
---|
493 | """ |
---|
494 | sld_n_default = 6.97e-06 # what is this number?? |
---|
495 | omfdata = sas_gen.OMFData() |
---|
496 | omf2sld = sas_gen.OMF2SLD() |
---|
497 | omf2sld.set_data(omfdata, self.default_shape) |
---|
498 | self.sld_data = omf2sld.output |
---|
499 | self.sld_data.is_data = False |
---|
500 | self.sld_data.filename = "Default SLD Profile" |
---|
501 | self.sld_data.set_sldn(sld_n_default) |
---|
502 | |
---|
503 | def _create_default_1d_data(self): |
---|
504 | """ |
---|
505 | Copied from previous version |
---|
506 | Create 1D data by default |
---|
507 | :warning: This data is never plotted. |
---|
508 | residuals.x = data_copy.x[index] |
---|
509 | residuals.dy = numpy.ones(len(residuals.y)) |
---|
510 | residuals.dx = None |
---|
511 | residuals.dxl = None |
---|
512 | residuals.dxw = None |
---|
513 | """ |
---|
514 | self.qmax_x = float(self.txtQxMax.text()) |
---|
515 | self.npts_x = int(self.txtNoQBins.text()) |
---|
516 | # Default values |
---|
517 | xmax = self.qmax_x |
---|
518 | xmin = self.qmax_x * _Q1D_MIN |
---|
519 | qstep = self.npts_x |
---|
520 | x = numpy.linspace(start=xmin, stop=xmax, num=qstep, endpoint=True) |
---|
521 | # store x and y bin centers in q space |
---|
522 | y = numpy.ones(len(x)) |
---|
523 | dy = numpy.zeros(len(x)) |
---|
524 | dx = numpy.zeros(len(x)) |
---|
525 | self.data = Data1D(x=x, y=y) |
---|
526 | self.data.dx = dx |
---|
527 | self.data.dy = dy |
---|
528 | |
---|
529 | def onCompute(self): |
---|
530 | """ |
---|
531 | Copied from previous version |
---|
532 | Execute the computation of I(qx, qy) |
---|
533 | """ |
---|
534 | # Set default data when nothing loaded yet |
---|
535 | if self.sld_data is None: |
---|
536 | self._create_default_sld_data() |
---|
537 | try: |
---|
538 | self.model.set_sld_data(self.sld_data) |
---|
539 | self.write_new_values_from_gui() |
---|
540 | if self.is_avg or self.is_avg is None: |
---|
541 | self._create_default_1d_data() |
---|
542 | i_out = numpy.zeros(len(self.data.y)) |
---|
543 | inputs = [self.data.x, [], i_out] |
---|
544 | else: |
---|
545 | self._create_default_2d_data() |
---|
546 | i_out = numpy.zeros(len(self.data.data)) |
---|
547 | inputs = [self.data.qx_data, self.data.qy_data, i_out] |
---|
548 | logging.info("Computation is in progress...") |
---|
549 | self.cmdCompute.setText('Wait...') |
---|
550 | self.cmdCompute.setEnabled(False) |
---|
551 | d = threads.deferToThread(self.complete, inputs, self._update) |
---|
552 | # Add deferred callback for call return |
---|
553 | d.addCallback(self.plot_1_2d) |
---|
554 | d.addErrback(self.calculateFailed) |
---|
555 | except: |
---|
556 | log_msg = "{}. stop".format(sys.exc_info()[1]) |
---|
557 | logging.info(log_msg) |
---|
558 | return |
---|
559 | |
---|
560 | def _update(self, value): |
---|
561 | """ |
---|
562 | Copied from previous version |
---|
563 | """ |
---|
564 | pass |
---|
565 | |
---|
566 | def calculateFailed(self, reason): |
---|
567 | """ |
---|
568 | """ |
---|
569 | print("Calculate Failed with:\n", reason) |
---|
570 | pass |
---|
571 | |
---|
572 | def complete(self, input, update=None): |
---|
573 | """ |
---|
574 | Gen compute complete function |
---|
575 | :Param input: input list [qx_data, qy_data, i_out] |
---|
576 | """ |
---|
577 | out = numpy.empty(0) |
---|
578 | for ind in range(len(input[0])): |
---|
579 | if self.is_avg: |
---|
580 | if ind % 1 == 0 and update is not None: |
---|
581 | # update() |
---|
582 | percentage = int(100.0 * float(ind) / len(input[0])) |
---|
583 | update(percentage) |
---|
584 | time.sleep(0.001) # 0.1 |
---|
585 | inputi = [input[0][ind:ind + 1], [], input[2][ind:ind + 1]] |
---|
586 | outi = self.model.run(inputi) |
---|
587 | out = numpy.append(out, outi) |
---|
588 | else: |
---|
589 | if ind % 50 == 0 and update is not None: |
---|
590 | percentage = int(100.0 * float(ind) / len(input[0])) |
---|
591 | update(percentage) |
---|
592 | time.sleep(0.001) |
---|
593 | inputi = [input[0][ind:ind + 1], input[1][ind:ind + 1], |
---|
594 | input[2][ind:ind + 1]] |
---|
595 | outi = self.model.runXY(inputi) |
---|
596 | out = numpy.append(out, outi) |
---|
597 | self.data_to_plot = out |
---|
598 | logging.info('Gen computation completed.') |
---|
599 | self.cmdCompute.setText('Compute') |
---|
600 | self.cmdCompute.setEnabled(True) |
---|
601 | return |
---|
602 | |
---|
603 | def onSaveFile(self): |
---|
604 | """Save data as .sld file""" |
---|
605 | path = os.path.dirname(str(self.datafile)) |
---|
606 | default_name = os.path.join(path, 'sld_file') |
---|
607 | kwargs = { |
---|
608 | 'parent': self, |
---|
609 | 'directory': default_name, |
---|
610 | 'filter': 'SLD file (*.sld)', |
---|
611 | 'options': QtWidgets.QFileDialog.DontUseNativeDialog} |
---|
612 | # Query user for filename. |
---|
613 | filename_tuple = QtWidgets.QFileDialog.getSaveFileName(**kwargs) |
---|
614 | filename = filename_tuple[0] |
---|
615 | if filename: |
---|
616 | try: |
---|
617 | _, extension = os.path.splitext(filename) |
---|
618 | if not extension: |
---|
619 | filename = '.'.join((filename, 'sld')) |
---|
620 | sas_gen.SLDReader().write(filename, self.sld_data) |
---|
621 | except: |
---|
622 | raise |
---|
623 | |
---|
624 | def plot3d(self, has_arrow=False): |
---|
625 | """ Generate 3D plot in real space with or without arrows """ |
---|
626 | self.write_new_values_from_gui() |
---|
627 | graph_title = " Graph {}: {} 3D SLD Profile".format(self.graph_num, |
---|
628 | self.file_name) |
---|
629 | if has_arrow: |
---|
630 | graph_title += ' - Magnetic Vector as Arrow' |
---|
631 | |
---|
632 | plot3D = Plotter3D(self, graph_title) |
---|
633 | plot3D.plot(self.sld_data, has_arrow=has_arrow) |
---|
634 | plot3D.show() |
---|
635 | self.graph_num += 1 |
---|
636 | |
---|
637 | def plot_1_2d(self, d): |
---|
638 | """ Generate 1D or 2D plot, called in Compute""" |
---|
639 | if self.is_avg or self.is_avg is None: |
---|
640 | data = Data1D(x=self.data.x, y=self.data_to_plot) |
---|
641 | data.title = "GenSAS {} #{} 1D".format(self.file_name, |
---|
642 | int(self.graph_num)) |
---|
643 | data.xaxis('\\rm{Q_{x}}', '\AA^{-1}') |
---|
644 | data.yaxis('\\rm{Intensity}', 'cm^{-1}') |
---|
645 | plot1D = Plotter(self) |
---|
646 | plot1D.plot(data) |
---|
647 | plot1D.show() |
---|
648 | self.graph_num += 1 |
---|
649 | # TODO |
---|
650 | print('TRANSFER OF DATA TO MAIN PANEL TO BE IMPLEMENTED') |
---|
651 | return plot1D |
---|
652 | else: |
---|
653 | numpy.nan_to_num(self.data_to_plot) |
---|
654 | data = Data2D(image=self.data_to_plot, |
---|
655 | qx_data=self.data.qx_data, |
---|
656 | qy_data=self.data.qy_data, |
---|
657 | q_data=self.data.q_data, |
---|
658 | xmin=self.data.xmin, xmax=self.data.ymax, |
---|
659 | ymin=self.data.ymin, ymax=self.data.ymax, |
---|
660 | err_image=self.data.err_data) |
---|
661 | data.title = "GenSAS {} #{} 2D".format(self.file_name, |
---|
662 | int(self.graph_num)) |
---|
663 | plot2D = Plotter2D(self) |
---|
664 | plot2D.plot(data) |
---|
665 | plot2D.show() |
---|
666 | self.graph_num += 1 |
---|
667 | # TODO |
---|
668 | print('TRANSFER OF DATA TO MAIN PANEL TO BE IMPLEMENTED') |
---|
669 | return plot2D |
---|
670 | |
---|
671 | |
---|
672 | class Plotter3DWidget(PlotterBase): |
---|
673 | """ |
---|
674 | 3D Plot widget for use with a QDialog |
---|
675 | """ |
---|
676 | def __init__(self, parent=None, manager=None): |
---|
677 | super(Plotter3DWidget, self).__init__(parent, manager=manager) |
---|
678 | |
---|
679 | @property |
---|
680 | def data(self): |
---|
681 | return self._data |
---|
682 | |
---|
683 | @data.setter |
---|
684 | def data(self, data=None): |
---|
685 | """ data setter """ |
---|
686 | self._data = data |
---|
687 | |
---|
688 | def plot(self, data=None, has_arrow=False): |
---|
689 | """ |
---|
690 | Plot 3D self._data |
---|
691 | """ |
---|
692 | if not data: |
---|
693 | return |
---|
694 | self.data = data |
---|
695 | #assert(self._data) |
---|
696 | # Prepare and show the plot |
---|
697 | self.showPlot(data=self.data, has_arrow=has_arrow) |
---|
698 | |
---|
699 | def showPlot(self, data, has_arrow=False): |
---|
700 | """ |
---|
701 | Render and show the current data |
---|
702 | """ |
---|
703 | # If we don't have any data, skip. |
---|
704 | if data is None: |
---|
705 | return |
---|
706 | # This import takes forever - place it here so the main UI starts faster |
---|
707 | from mpl_toolkits.mplot3d import Axes3D |
---|
708 | color_dic = {'H': 'blue', 'D': 'purple', 'N': 'orange', |
---|
709 | 'O': 'red', 'C': 'green', 'P': 'cyan', 'Other': 'k'} |
---|
710 | marker = ',' |
---|
711 | m_size = 2 |
---|
712 | |
---|
713 | pos_x = data.pos_x |
---|
714 | pos_y = data.pos_y |
---|
715 | pos_z = data.pos_z |
---|
716 | sld_mx = data.sld_mx |
---|
717 | sld_my = data.sld_my |
---|
718 | sld_mz = data.sld_mz |
---|
719 | pix_symbol = data.pix_symbol |
---|
720 | sld_tot = numpy.fabs(sld_mx) + numpy.fabs(sld_my) + \ |
---|
721 | numpy.fabs(sld_mz) + numpy.fabs(data.sld_n) |
---|
722 | is_nonzero = sld_tot > 0.0 |
---|
723 | is_zero = sld_tot == 0.0 |
---|
724 | |
---|
725 | if data.pix_type == 'atom': |
---|
726 | marker = 'o' |
---|
727 | m_size = 3.5 |
---|
728 | |
---|
729 | self.figure.clear() |
---|
730 | self.figure.subplots_adjust(left=0.1, right=.8, bottom=.1) |
---|
731 | ax = Axes3D(self.figure) |
---|
732 | ax.set_xlabel('x ($\A{}$)'.format(data.pos_unit)) |
---|
733 | ax.set_ylabel('z ($\A{}$)'.format(data.pos_unit)) |
---|
734 | ax.set_zlabel('y ($\A{}$)'.format(data.pos_unit)) |
---|
735 | |
---|
736 | # I. Plot null points |
---|
737 | if is_zero.any(): |
---|
738 | im = ax.plot(pos_x[is_zero], pos_z[is_zero], pos_y[is_zero], |
---|
739 | marker, c="y", alpha=0.5, markeredgecolor='y', |
---|
740 | markersize=m_size) |
---|
741 | pos_x = pos_x[is_nonzero] |
---|
742 | pos_y = pos_y[is_nonzero] |
---|
743 | pos_z = pos_z[is_nonzero] |
---|
744 | sld_mx = sld_mx[is_nonzero] |
---|
745 | sld_my = sld_my[is_nonzero] |
---|
746 | sld_mz = sld_mz[is_nonzero] |
---|
747 | pix_symbol = data.pix_symbol[is_nonzero] |
---|
748 | # II. Plot selective points in color |
---|
749 | other_color = numpy.ones(len(pix_symbol), dtype='bool') |
---|
750 | for key in list(color_dic.keys()): |
---|
751 | chosen_color = pix_symbol == key |
---|
752 | if numpy.any(chosen_color): |
---|
753 | other_color = other_color & (chosen_color!=True) |
---|
754 | color = color_dic[key] |
---|
755 | im = ax.plot(pos_x[chosen_color], pos_z[chosen_color], |
---|
756 | pos_y[chosen_color], marker, c=color, alpha=0.5, |
---|
757 | markeredgecolor=color, markersize=m_size, label=key) |
---|
758 | # III. Plot All others |
---|
759 | if numpy.any(other_color): |
---|
760 | a_name = '' |
---|
761 | if data.pix_type == 'atom': |
---|
762 | # Get atom names not in the list |
---|
763 | a_names = [symb for symb in pix_symbol \ |
---|
764 | if symb not in list(color_dic.keys())] |
---|
765 | a_name = a_names[0] |
---|
766 | for name in a_names: |
---|
767 | new_name = ", " + name |
---|
768 | if a_name.count(name) == 0: |
---|
769 | a_name += new_name |
---|
770 | # plot in black |
---|
771 | im = ax.plot(pos_x[other_color], pos_z[other_color], |
---|
772 | pos_y[other_color], marker, c="k", alpha=0.5, |
---|
773 | markeredgecolor="k", markersize=m_size, label=a_name) |
---|
774 | if data.pix_type == 'atom': |
---|
775 | ax.legend(loc='upper left', prop={'size': 10}) |
---|
776 | # IV. Draws atomic bond with grey lines if any |
---|
777 | if data.has_conect: |
---|
778 | for ind in range(len(data.line_x)): |
---|
779 | im = ax.plot(data.line_x[ind], data.line_z[ind], |
---|
780 | data.line_y[ind], '-', lw=0.6, c="grey", |
---|
781 | alpha=0.3) |
---|
782 | # V. Draws magnetic vectors |
---|
783 | if has_arrow and len(pos_x) > 0: |
---|
784 | def _draw_arrow(input=None, update=None): |
---|
785 | # import moved here for performance reasons |
---|
786 | from sas.qtgui.Plotting.Arrow3D import Arrow3D |
---|
787 | """ |
---|
788 | draw magnetic vectors w/arrow |
---|
789 | """ |
---|
790 | max_mx = max(numpy.fabs(sld_mx)) |
---|
791 | max_my = max(numpy.fabs(sld_my)) |
---|
792 | max_mz = max(numpy.fabs(sld_mz)) |
---|
793 | max_m = max(max_mx, max_my, max_mz) |
---|
794 | try: |
---|
795 | max_step = max(data.xstepsize, data.ystepsize, data.zstepsize) |
---|
796 | except: |
---|
797 | max_step = 0 |
---|
798 | if max_step <= 0: |
---|
799 | max_step = 5 |
---|
800 | try: |
---|
801 | if max_m != 0: |
---|
802 | unit_x2 = sld_mx / max_m |
---|
803 | unit_y2 = sld_my / max_m |
---|
804 | unit_z2 = sld_mz / max_m |
---|
805 | # 0.8 is for avoiding the color becomes white=(1,1,1)) |
---|
806 | color_x = numpy.fabs(unit_x2 * 0.8) |
---|
807 | color_y = numpy.fabs(unit_y2 * 0.8) |
---|
808 | color_z = numpy.fabs(unit_z2 * 0.8) |
---|
809 | x2 = pos_x + unit_x2 * max_step |
---|
810 | y2 = pos_y + unit_y2 * max_step |
---|
811 | z2 = pos_z + unit_z2 * max_step |
---|
812 | x_arrow = numpy.column_stack((pos_x, x2)) |
---|
813 | y_arrow = numpy.column_stack((pos_y, y2)) |
---|
814 | z_arrow = numpy.column_stack((pos_z, z2)) |
---|
815 | colors = numpy.column_stack((color_x, color_y, color_z)) |
---|
816 | arrows = Arrow3D(self.figure, x_arrow, z_arrow, y_arrow, |
---|
817 | colors, mutation_scale=10, lw=1, |
---|
818 | arrowstyle="->", alpha=0.5) |
---|
819 | ax.add_artist(arrows) |
---|
820 | except: |
---|
821 | pass |
---|
822 | log_msg = "Arrow Drawing completed.\n" |
---|
823 | logging.info(log_msg) |
---|
824 | log_msg = "Arrow Drawing is in progress..." |
---|
825 | logging.info(log_msg) |
---|
826 | |
---|
827 | # Defer the drawing of arrows to another thread |
---|
828 | d = threads.deferToThread(_draw_arrow, ax) |
---|
829 | |
---|
830 | self.figure.canvas.resizing = False |
---|
831 | self.figure.canvas.draw() |
---|
832 | |
---|
833 | |
---|
834 | class Plotter3D(QtWidgets.QDialog, Plotter3DWidget): |
---|
835 | def __init__(self, parent=None, graph_title=''): |
---|
836 | self.graph_title = graph_title |
---|
837 | QtWidgets.QDialog.__init__(self) |
---|
838 | Plotter3DWidget.__init__(self, manager=parent) |
---|
839 | self.setWindowTitle(self.graph_title) |
---|
840 | |
---|