1 | import wx |
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2 | from plottables import Theory1D |
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3 | import math |
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4 | import numpy |
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5 | import fittings |
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6 | import transform |
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7 | import sys |
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8 | |
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9 | #Linear fit panel size |
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10 | if sys.platform.count("win32") > 0: |
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11 | FONT_VARIANT = 0 |
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12 | PNL_WIDTH = 450 |
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13 | PNL_HEIGHT = 500 |
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14 | else: |
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15 | FONT_VARIANT = 1 |
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16 | PNL_WIDTH = 500 |
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17 | PNL_HEIGHT = 500 |
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18 | RG_ON = True |
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19 | |
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20 | def format_number(value, high=False): |
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21 | """ |
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22 | Return a float in a standardized, human-readable formatted string |
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23 | """ |
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24 | try: |
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25 | value = float(value) |
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26 | except: |
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27 | output = "NaN" |
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28 | return output.lstrip().rstrip() |
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29 | |
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30 | if high: |
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31 | output = "%-6.4g" % value |
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32 | |
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33 | else: |
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34 | output = "%-5.3g" % value |
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35 | return output.lstrip().rstrip() |
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36 | |
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37 | |
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38 | class LinearFit(wx.Dialog): |
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39 | def __init__(self, parent, plottable, push_data, transform, title): |
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40 | """ |
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41 | Dialog window pops- up when select Linear fit on Context menu |
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42 | Displays fitting parameters |
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43 | """ |
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44 | wx.Dialog.__init__(self, parent, title=title, |
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45 | size=(PNL_WIDTH, 350)) |
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46 | self.parent = parent |
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47 | self.transform = transform |
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48 | #Font |
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49 | self.SetWindowVariant(variant=FONT_VARIANT) |
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50 | # Registered owner for close event |
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51 | self._registered_close = None |
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52 | |
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53 | #dialog panel self call function to plot the fitting function |
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54 | self.push_data = push_data |
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55 | #dialog self plottable |
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56 | self.plottable = plottable |
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57 | self.rg_on = False |
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58 | # Receive transformations of x and y |
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59 | self.xLabel, self.yLabel, self.Avalue, self.Bvalue,\ |
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60 | self.ErrAvalue, self.ErrBvalue, self.Chivalue = self.transform() |
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61 | |
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62 | #Dialog interface |
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63 | vbox = wx.BoxSizer(wx.VERTICAL) |
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64 | sizer = wx.GridBagSizer(5, 5) |
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65 | _BOX_WIDTH = 100 |
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66 | |
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67 | self.tcA = wx.TextCtrl(self, -1, size=(_BOX_WIDTH, 20)) |
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68 | self.tcA.SetToolTipString("Fit value for the slope parameter.") |
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69 | self.tcErrA = wx.TextCtrl(self, -1, size=(_BOX_WIDTH, 20)) |
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70 | self.tcErrA.SetToolTipString("Error on the slope parameter.") |
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71 | self.tcB = wx.TextCtrl(self, -1, size=(_BOX_WIDTH, 20)) |
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72 | self.tcA.SetToolTipString("Fit value for the constant parameter.") |
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73 | self.tcErrB = wx.TextCtrl(self, -1, size=(_BOX_WIDTH, 20)) |
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74 | self.tcErrB.SetToolTipString("Error on the constant parameter.") |
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75 | self.tcChi = wx.TextCtrl(self, -1, size=(_BOX_WIDTH, 20)) |
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76 | self.tcChi.SetToolTipString("Chi^2 over degrees of freedom.") |
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77 | self.xminFit = wx.TextCtrl(self, -1, size=(_BOX_WIDTH, 20)) |
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78 | msg = "Enter the minimum value on " |
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79 | msg += "the x-axis to be included in the fit." |
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80 | self.xminFit.SetToolTipString(msg) |
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81 | self.xmaxFit = wx.TextCtrl(self, -1, size=(_BOX_WIDTH, 20)) |
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82 | msg = "Enter the maximum value on " |
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83 | msg += " the x-axis to be included in the fit." |
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84 | self.xmaxFit.SetToolTipString(msg) |
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85 | self.initXmin = wx.TextCtrl(self, -1, size=(_BOX_WIDTH, 20)) |
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86 | msg = "Minimum value on the x-axis for the plotted data." |
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87 | self.initXmin.SetToolTipString(msg) |
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88 | self.initXmax = wx.TextCtrl(self, -1, size=(_BOX_WIDTH, 20)) |
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89 | msg = "Maximum value on the x-axis for the plotted data." |
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90 | self.initXmax.SetToolTipString(msg) |
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91 | |
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92 | # Make the info box not editable |
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93 | #_BACKGROUND_COLOR = '#ffdf85' |
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94 | _BACKGROUND_COLOR = self.GetBackgroundColour() |
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95 | self.initXmin.SetEditable(False) |
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96 | self.initXmin.SetBackgroundColour(_BACKGROUND_COLOR) |
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97 | self.initXmax.SetEditable(False) |
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98 | self.initXmax.SetBackgroundColour(_BACKGROUND_COLOR) |
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99 | |
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100 | # Buttons on the bottom |
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101 | self.static_line_1 = wx.StaticLine(self, -1) |
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102 | self.btFit = wx.Button(self, -1, 'Fit') |
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103 | self.btFit.Bind(wx.EVT_BUTTON, self._onFit) |
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104 | self.btFit.SetToolTipString("Perform fit.") |
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105 | self.btClose =wx.Button(self, wx.ID_CANCEL, 'Close') |
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106 | self.btClose.Bind(wx.EVT_BUTTON, self._on_close) |
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107 | |
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108 | # Intro |
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109 | explanation = "Perform fit for y(x) = ax + b" |
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110 | vbox.Add(sizer) |
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111 | ix = 0 |
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112 | iy = 1 |
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113 | sizer.Add(wx.StaticText(self, -1, explanation), (iy, ix), |
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114 | (1, 1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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115 | iy += 2 |
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116 | sizer.Add(wx.StaticText(self, -1, 'Parameter a'), (iy, ix), |
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117 | (1, 1), wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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118 | ix += 1 |
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119 | sizer.Add(self.tcA,(iy, ix),(1, 1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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120 | ix += 1 |
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121 | sizer.Add(wx.StaticText(self, -1, '+/-'), |
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122 | (iy, ix), (1, 1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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123 | ix += 1 |
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124 | sizer.Add(self.tcErrA, (iy, ix), (1, 1), |
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125 | wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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126 | iy += 1 |
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127 | ix = 0 |
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128 | sizer.Add(wx.StaticText(self, -1, 'Parameter b'), (iy, ix),(1, 1), |
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129 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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130 | ix += 1 |
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131 | sizer.Add(self.tcB, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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132 | ix += 1 |
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133 | sizer.Add(wx.StaticText(self, -1, '+/-'), (iy, ix), |
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134 | (1, 1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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135 | ix += 1 |
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136 | sizer.Add(self.tcErrB, (iy, ix), (1, 1), |
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137 | wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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138 | iy += 1 |
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139 | ix = 0 |
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140 | sizer.Add(wx.StaticText(self, -1, 'Chi2/dof'), (iy, ix), (1, 1), |
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141 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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142 | ix += 1 |
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143 | sizer.Add(self.tcChi, (iy, ix),(1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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144 | |
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145 | |
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146 | #sizer.Add(wx.StaticLine(self, -1), 0, wx.EXPAND, 0) |
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147 | iy += 2 |
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148 | ix = 1 |
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149 | sizer.Add(wx.StaticText(self, -1, 'Min'), (iy, ix), (1, 1), |
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150 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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151 | ix += 2 |
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152 | sizer.Add(wx.StaticText(self, -1, 'Max'), (iy, ix), |
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153 | (1, 1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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154 | |
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155 | iy += 1 |
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156 | ix = 0 |
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157 | sizer.Add(wx.StaticText(self, -1, 'Maximum range (linear scale)'), |
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158 | (iy, ix),(1,1), |
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159 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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160 | ix += 1 |
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161 | sizer.Add(self.initXmin, (iy, ix), (1,1), |
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162 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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163 | ix += 2 |
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164 | sizer.Add(self.initXmax, (iy, ix), (1,1), |
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165 | wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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166 | |
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167 | iy += 1 |
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168 | ix = 0 |
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169 | sizer.Add(wx.StaticText(self, -1, 'Fit range of ' + self.xLabel), |
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170 | (iy, ix), (1, 1), |
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171 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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172 | ix += 1 |
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173 | sizer.Add(self.xminFit, (iy, ix), (1, 1), |
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174 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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175 | ix += 2 |
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176 | sizer.Add(self.xmaxFit, (iy, ix), (1,1), wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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177 | if RG_ON: |
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178 | if (self.yLabel == "ln(y)" or self.yLabel == "ln(y*x)") and \ |
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179 | (self.xLabel == "x^(2)"): |
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180 | self.rg_on = True |
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181 | self.SetSize((PNL_WIDTH, PNL_HEIGHT)) |
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182 | I0_stxt = wx.StaticText(self, -1, 'I(q=0)') |
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183 | self.I0_tctr = wx.TextCtrl(self, -1, '') |
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184 | self.I0_tctr.SetEditable(False) |
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185 | self.I0_tctr.SetBackgroundColour(_BACKGROUND_COLOR) |
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186 | self.I0err_tctr = wx.TextCtrl(self, -1, '') |
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187 | self.I0err_tctr.SetEditable(False) |
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188 | self.I0err_tctr.SetBackgroundColour(_BACKGROUND_COLOR) |
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189 | Rg_stxt = wx.StaticText(self, -1, 'Rg (A)') |
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190 | Rg_stxt.Show(self.yLabel == "ln(y)" ) |
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191 | self.Rg_tctr = wx.TextCtrl(self, -1, '') |
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192 | self.Rg_tctr.SetEditable(False) |
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193 | self.Rg_tctr.SetBackgroundColour(_BACKGROUND_COLOR) |
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194 | self.Rg_tctr.Show(self.yLabel == "ln(y)" ) |
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195 | self.Rgerr_tctr = wx.TextCtrl(self, -1, '') |
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196 | self.Rgerr_tctr.SetEditable(False) |
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197 | self.Rgerr_tctr.SetBackgroundColour(_BACKGROUND_COLOR) |
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198 | self.Rgerr_tctr.Show(self.yLabel == "ln(y)" ) |
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199 | Diameter_stxt = wx.StaticText(self, -1, 'Rod Diameter (A)') |
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200 | Diameter_stxt.Show(self.yLabel == "ln(y*x)") |
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201 | self.Diameter_tctr = wx.TextCtrl(self, -1, '') |
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202 | self.Diameter_tctr.SetEditable(False) |
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203 | self.Diameter_tctr.SetBackgroundColour(_BACKGROUND_COLOR) |
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204 | self.Diameter_tctr.Show(self.yLabel == "ln(y*x)") |
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205 | self.Diametererr_tctr = wx.TextCtrl(self, -1, '') |
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206 | self.Diametererr_tctr.SetEditable(False) |
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207 | self.Diametererr_tctr.SetBackgroundColour(_BACKGROUND_COLOR) |
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208 | self.Diametererr_tctr.Show(self.yLabel == "ln(y*x)") |
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209 | RgQmin_stxt = wx.StaticText(self, -1, 'Rg*Qmin') |
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210 | self.RgQmin_tctr = wx.TextCtrl(self, -1, '') |
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211 | self.RgQmin_tctr.SetEditable(False) |
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212 | self.RgQmin_tctr.SetBackgroundColour(_BACKGROUND_COLOR) |
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213 | RgQmax_stxt = wx.StaticText(self, -1, 'Rg*Qmax') |
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214 | self.RgQmax_tctr = wx.TextCtrl(self, -1, '') |
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215 | self.RgQmax_tctr.SetEditable(False) |
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216 | self.RgQmax_tctr.SetBackgroundColour(_BACKGROUND_COLOR) |
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217 | |
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218 | #sizer.Add(wx.StaticLine(self, -1), 0, wx.EXPAND, 0) |
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219 | iy += 2 |
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220 | ix = 0 |
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221 | sizer.Add(I0_stxt, (iy, ix),(1,1), |
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222 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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223 | ix += 1 |
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224 | sizer.Add(self.I0_tctr, (iy, ix), (1,1), |
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225 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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226 | |
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227 | ix += 2 |
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228 | sizer.Add(self.I0err_tctr, (iy, ix), (1,1), |
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229 | wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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230 | |
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231 | iy += 1 |
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232 | ix = 0 |
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233 | sizer.Add(Rg_stxt, (iy, ix),(1,1), |
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234 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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235 | ix += 1 |
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236 | sizer.Add(self.Rg_tctr, (iy, ix), (1,1), |
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237 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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238 | |
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239 | ix += 2 |
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240 | sizer.Add(self.Rgerr_tctr, (iy, ix), (1,1), |
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241 | wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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242 | iy += 1 |
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243 | ix = 0 |
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244 | sizer.Add(Diameter_stxt, (iy, ix),(1,1), |
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245 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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246 | ix += 1 |
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247 | sizer.Add(self.Diameter_tctr, (iy, ix), (1,1), |
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248 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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249 | |
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250 | ix += 2 |
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251 | sizer.Add(self.Diametererr_tctr, (iy, ix), (1,1), |
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252 | wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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253 | iy += 1 |
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254 | ix = 0 |
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255 | sizer.Add(RgQmin_stxt, (iy, ix),(1,1), |
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256 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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257 | ix += 1 |
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258 | sizer.Add(self.RgQmin_tctr, (iy, ix), (1,1), |
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259 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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260 | iy += 1 |
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261 | ix = 0 |
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262 | sizer.Add(RgQmax_stxt, (iy, ix),(1,1), |
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263 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 15) |
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264 | ix += 1 |
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265 | sizer.Add(self.RgQmax_tctr, (iy, ix), (1,1), |
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266 | wx.LEFT|wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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267 | |
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268 | iy += 1 |
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269 | ix = 1 |
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270 | |
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271 | vbox.Add(self.static_line_1, 0, wx.EXPAND, 0) |
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272 | sizer_button = wx.BoxSizer(wx.HORIZONTAL) |
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273 | sizer_button.Add((20, 20), 1, wx.EXPAND|wx.ADJUST_MINSIZE, 0) |
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274 | sizer_button.Add(self.btFit, 0, wx.LEFT|wx.RIGHT|wx.ADJUST_MINSIZE, 10) |
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275 | sizer_button.Add(self.btClose, 0, |
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276 | wx.LEFT|wx.RIGHT|wx.ADJUST_MINSIZE, 10) |
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277 | vbox.Add(sizer_button, 0, wx.EXPAND|wx.BOTTOM|wx.TOP, 10) |
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278 | |
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279 | sizer.Add(self.btFit, (iy, ix), (1,1), wx.LEFT|wx.ADJUST_MINSIZE, 0) |
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280 | #panel.SetSizer(sizer) |
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281 | self.SetSizer(vbox) |
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282 | self.Centre() |
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283 | # Receives the type of model for the fitting |
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284 | from LineModel import LineModel |
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285 | self.model = LineModel() |
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286 | #Display the fittings values |
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287 | self.default_A = self.model.getParam('A') |
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288 | self.default_B = self.model.getParam('B') |
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289 | self.cstA = fittings.Parameter(self.model, 'A', self.default_A) |
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290 | self.cstB = fittings.Parameter(self.model, 'B', self.default_B) |
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291 | |
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292 | # Set default value of parameter in fit dialog |
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293 | if self.Avalue == None: |
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294 | self.tcA.SetValue(format_number(self.default_A)) |
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295 | else: |
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296 | self.tcA.SetLabel(format_number(self.Avalue)) |
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297 | if self.Bvalue == None: |
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298 | self.tcB.SetValue(format_number(self.default_B)) |
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299 | else: |
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300 | self.tcB.SetLabel(format_number(self.Bvalue)) |
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301 | if self.ErrAvalue == None: |
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302 | self.tcErrA.SetLabel(format_number(0.0)) |
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303 | else: |
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304 | self.tcErrA.SetLabel(format_number(self.ErrAvalue)) |
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305 | if self.ErrBvalue == None: |
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306 | self.tcErrB.SetLabel(format_number(0.0)) |
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307 | else: |
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308 | self.tcErrB.SetLabel(format_number(self.ErrBvalue)) |
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309 | if self.Chivalue == None: |
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310 | self.tcChi.SetLabel(format_number(0.0)) |
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311 | else: |
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312 | self.tcChi.SetLabel(format_number(self.Chivalue)) |
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313 | if self.plottable.x != []: |
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314 | #store the values of View in self.x,self.y,self.dx,self.dy |
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315 | self.x, self.y, self.dx, \ |
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316 | self.dy = self.plottable.returnValuesOfView() |
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317 | try: |
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318 | self.mini = self.floatForwardTransform(min(self.x)) |
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319 | except: |
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320 | self.mini = "Invalid" |
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321 | try: |
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322 | self.maxi = self.floatForwardTransform(max(self.x)) |
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323 | except: |
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324 | self.maxi = "Invalid" |
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325 | |
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326 | self.initXmin.SetValue(format_number(min(self.plottable.x))) |
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327 | self.initXmax.SetValue(format_number(max(self.plottable.x))) |
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328 | self.mini = min(self.x) |
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329 | self.maxi = max(self.x) |
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330 | self.xminFit.SetValue(format_number(self.mini)) |
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331 | self.xmaxFit.SetValue(format_number(self.maxi)) |
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332 | |
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333 | def register_close(self, owner): |
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334 | """ |
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335 | Method to register the close event to a parent |
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336 | window that needs notification when the dialog |
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337 | is closed |
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338 | |
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339 | :param owner: parent window |
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340 | |
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341 | """ |
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342 | self._registered_close = owner |
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343 | |
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344 | def _on_close(self, event): |
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345 | """ |
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346 | Close event. |
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347 | Notify registered owner if available. |
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348 | """ |
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349 | event.Skip() |
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350 | if self._registered_close is not None: |
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351 | self._registered_close() |
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352 | |
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353 | def _onFit(self, event): |
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354 | """ |
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355 | Performs the fit. Receive an event when clicking on |
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356 | the button Fit.Computes chisqr , |
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357 | A and B parameters of the best linear fit y=Ax +B |
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358 | Push a plottable to |
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359 | """ |
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360 | tempx = [] |
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361 | tempy = [] |
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362 | tempdy = [] |
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363 | |
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364 | # Check if View contains a x array .we online fit when x exits |
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365 | # makes transformation for y as a line to fit |
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366 | if self.x != []: |
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367 | if(self.checkFitValues(self.xminFit) == True): |
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368 | #Check if the field of Fit Dialog contain values |
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369 | # and use the x max and min of the user |
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370 | #xminView,xmaxView = self._checkVal(self.xminFit.GetValue(), |
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371 | #self.xmaxFit.GetValue()) |
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372 | if not self._checkVal(self.xminFit, self.xmaxFit): |
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373 | return |
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374 | xminView = float(self.xminFit.GetValue()) |
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375 | xmaxView = float(self.xmaxFit.GetValue()) |
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376 | #xmin = self.floatInvTransform(xminView) |
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377 | #xmax = self.floatInvTransform(xmaxView) |
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378 | xmin = xminView |
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379 | xmax = xmaxView |
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380 | # Store the transformed values of view x, y,dy |
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381 | # in variables before the fit |
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382 | if self.yLabel.lower() == "log10(y)": |
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383 | if (self.xLabel.lower() == "log10(x)"): |
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384 | for i in range(len(self.x)): |
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385 | if self.x[i] >= math.log10(xmin): |
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386 | tempy.append(math.log10(self.y[i])) |
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387 | tempdy.append(transform.errToLogX(self.y[i], |
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388 | 0, self.dy[i], 0)) |
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389 | else: |
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390 | for i in range(len(self.y)): |
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391 | tempy.append(math.log10(self.y[i])) |
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392 | tempdy.append(transform.errToLogX(self.y[i], |
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393 | 0, self.dy[i], 0)) |
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394 | else: |
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395 | tempy = self.y |
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396 | tempdy = self.dy |
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397 | |
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398 | if (self.xLabel.lower() == "log10(x)"): |
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399 | for x_i in self.x: |
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400 | if x_i >= math.log10(xmin): |
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401 | tempx.append(math.log10(x_i)) |
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402 | else: |
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403 | tempx = self.x |
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404 | |
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405 | #Find the fitting parameters |
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406 | # Always use the same defaults, so that fit history |
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407 | #doesn't play a role! |
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408 | self.cstA = fittings.Parameter(self.model, 'A', self.default_A) |
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409 | self.cstB = fittings.Parameter(self.model, 'B', self.default_B) |
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410 | |
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411 | if (self.xLabel.lower() == "log10(x)"): |
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412 | tempdy = numpy.asarray(tempdy) |
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413 | tempdy[tempdy == 0] = 1 |
---|
414 | chisqr, out, cov = fittings.sansfit(self.model, |
---|
415 | [self.cstA, self.cstB], |
---|
416 | tempx, tempy, |
---|
417 | tempdy, |
---|
418 | math.log10(xmin), |
---|
419 | math.log10(xmax)) |
---|
420 | else: |
---|
421 | tempdy = numpy.asarray(tempdy) |
---|
422 | tempdy[tempdy == 0] = 1 |
---|
423 | chisqr, out, cov = fittings.sansfit(self.model, |
---|
424 | [self.cstA, self.cstB], |
---|
425 | tempx, tempy, tempdy, |
---|
426 | xminView, xmaxView) |
---|
427 | # Use chi2/dof |
---|
428 | if len(tempx) > 0: |
---|
429 | chisqr = chisqr/len(tempx) |
---|
430 | |
---|
431 | #Check that cov and out are iterable before displaying them |
---|
432 | if cov == None: |
---|
433 | errA = 0.0 |
---|
434 | errB = 0.0 |
---|
435 | else: |
---|
436 | errA = math.sqrt(cov[0][0]) |
---|
437 | errB = math.sqrt(cov[1][1]) |
---|
438 | if out == None: |
---|
439 | cstA = 0.0 |
---|
440 | cstB = 0.0 |
---|
441 | else: |
---|
442 | cstA = out[0] |
---|
443 | cstB = out[1] |
---|
444 | # Reset model with the right values of A and B |
---|
445 | self.model.setParam('A', float(cstA)) |
---|
446 | self.model.setParam('B', float(cstB)) |
---|
447 | |
---|
448 | tempx = [] |
---|
449 | tempy = [] |
---|
450 | y_model = 0.0 |
---|
451 | # load tempy with the minimum transformation |
---|
452 | |
---|
453 | if self.xLabel == "log10(x)": |
---|
454 | y_model = self.model.run(math.log10(xmin)) |
---|
455 | tempx.append(xmin) |
---|
456 | else: |
---|
457 | y_model = self.model.run(xminView) |
---|
458 | tempx.append(xminView) |
---|
459 | |
---|
460 | if self.yLabel == "log10(y)": |
---|
461 | tempy.append(math.pow(10, y_model)) |
---|
462 | else: |
---|
463 | tempy.append(y_model) |
---|
464 | |
---|
465 | # load tempy with the maximum transformation |
---|
466 | if self.xLabel == "log10(x)": |
---|
467 | y_model = self.model.run(math.log10(xmax)) |
---|
468 | tempx.append(xmax) |
---|
469 | else: |
---|
470 | y_model = self.model.run(xmaxView) |
---|
471 | tempx.append(xmaxView) |
---|
472 | |
---|
473 | if self.yLabel == "log10(y)": |
---|
474 | tempy.append(math.pow(10, y_model)) |
---|
475 | else: |
---|
476 | tempy.append(y_model) |
---|
477 | #Set the fit parameter display when FitDialog is opened again |
---|
478 | self.Avalue = cstB |
---|
479 | self.Bvalue = cstA |
---|
480 | self.ErrAvalue = errA |
---|
481 | self.ErrBvalue = errB |
---|
482 | self.Chivalue = chisqr |
---|
483 | self.push_data(tempx, tempy, xminView, xmaxView, |
---|
484 | xmin, xmax, self._ongetValues()) |
---|
485 | |
---|
486 | # Display the fitting value on the Fit Dialog |
---|
487 | self._onsetValues(cstB, cstA, errA, errB, chisqr) |
---|
488 | |
---|
489 | def _onsetValues(self, cstA, cstB, errA, errB, Chi): |
---|
490 | """ |
---|
491 | Display the value on fit Dialog |
---|
492 | """ |
---|
493 | rg = None |
---|
494 | self.tcA.SetValue(format_number(cstA)) |
---|
495 | self.tcB.SetValue(format_number(cstB)) |
---|
496 | self.tcErrA.SetValue(format_number(errA)) |
---|
497 | self.tcErrB.SetValue(format_number(errB)) |
---|
498 | self.tcChi.SetValue(format_number(Chi)) |
---|
499 | if self.rg_on: |
---|
500 | if self.Rg_tctr.IsShown(): |
---|
501 | rg = numpy.sqrt(-3 * float(cstA)) |
---|
502 | value = format_number(rg) |
---|
503 | self.Rg_tctr.SetValue(value) |
---|
504 | if self.I0_tctr.IsShown(): |
---|
505 | val = numpy.exp(cstB) |
---|
506 | self.I0_tctr.SetValue(format_number(val)) |
---|
507 | if self.Rgerr_tctr.IsShown(): |
---|
508 | if rg != None and rg != 0: |
---|
509 | value = format_number(3 * float(cstA) / (2 * rg)) |
---|
510 | else: |
---|
511 | value ='' |
---|
512 | self.Rgerr_tctr.SetValue(value) |
---|
513 | if self.I0err_tctr.IsShown(): |
---|
514 | val = numpy.abs(numpy.exp(cstB) - numpy.exp(cstB + errB)) |
---|
515 | self.I0err_tctr.SetValue(format_number(val)) |
---|
516 | if self.Diameter_tctr.IsShown(): |
---|
517 | rg = 4 * numpy.sqrt(-float(cstA)) |
---|
518 | value = format_number(rg) |
---|
519 | self.Diameter_tctr.SetValue(value) |
---|
520 | if self.Diametererr_tctr.IsShown(): |
---|
521 | if rg != None and rg != 0: |
---|
522 | value = format_number(8 * float(cstA) / rg) |
---|
523 | else: |
---|
524 | value ='' |
---|
525 | self.Diametererr_tctr.SetValue(value) |
---|
526 | if self.RgQmin_tctr.IsShown(): |
---|
527 | value = format_number(rg * self.mini) |
---|
528 | self.RgQmin_tctr.SetValue(value) |
---|
529 | if self.RgQmax_tctr.IsShown(): |
---|
530 | value = format_number(rg * self.maxi) |
---|
531 | self.RgQmax_tctr.SetValue(value) |
---|
532 | |
---|
533 | def _ongetValues(self): |
---|
534 | """ |
---|
535 | Display the value on fit Dialog |
---|
536 | """ |
---|
537 | return self.Avalue, self.Bvalue, self.ErrAvalue, \ |
---|
538 | self.ErrBvalue, self.Chivalue |
---|
539 | |
---|
540 | def _checkVal(self, usermin, usermax): |
---|
541 | """ |
---|
542 | Ensure that fields parameter contains a min and a max value |
---|
543 | within x min and x max range |
---|
544 | """ |
---|
545 | self.mini = float(self.xminFit.GetValue()) |
---|
546 | self.maxi = float(self.xmaxFit.GetValue()) |
---|
547 | flag = True |
---|
548 | try: |
---|
549 | mini = float(usermin.GetValue()) |
---|
550 | maxi = float(usermax.GetValue()) |
---|
551 | if mini < maxi: |
---|
552 | usermin.SetBackgroundColour(wx.WHITE) |
---|
553 | usermin.Refresh() |
---|
554 | else: |
---|
555 | flag = False |
---|
556 | usermin.SetBackgroundColour("pink") |
---|
557 | usermin.Refresh() |
---|
558 | except: |
---|
559 | # Check for possible values entered |
---|
560 | flag = False |
---|
561 | usermin.SetBackgroundColour("pink") |
---|
562 | usermin.Refresh() |
---|
563 | |
---|
564 | return flag |
---|
565 | |
---|
566 | def floatForwardTransform(self, x): |
---|
567 | """ |
---|
568 | transform a float. |
---|
569 | """ |
---|
570 | #TODO: refactor this with proper object-oriented design |
---|
571 | # This code stinks. |
---|
572 | if(self.xLabel == "x"): |
---|
573 | return transform.toX(x) |
---|
574 | if(self.xLabel == "x^(2)"): |
---|
575 | return transform.toX2(x) |
---|
576 | if(self.xLabel == "ln(x)"): |
---|
577 | return transform.toLogX(x) |
---|
578 | if(self.xLabel == "log10(x)"): |
---|
579 | return math.log10(x) |
---|
580 | |
---|
581 | def floatTransform(self, x): |
---|
582 | """ |
---|
583 | transform a float.It is use to determine the x. |
---|
584 | View min and x.View max for values |
---|
585 | not in x |
---|
586 | """ |
---|
587 | #TODO: refactor this with proper object-oriented design |
---|
588 | # This code stinks. |
---|
589 | if(self.xLabel == "x"): |
---|
590 | return transform.toX(x) |
---|
591 | if(self.xLabel == "x^(2)"): |
---|
592 | return transform.toX2(x) |
---|
593 | if(self.xLabel == "ln(x)"): |
---|
594 | return transform.toLogX(x) |
---|
595 | if(self.xLabel == "log10(x)"): |
---|
596 | if x > 0: |
---|
597 | return x |
---|
598 | else: |
---|
599 | raise ValueError, "cannot compute log of a negative number" |
---|
600 | |
---|
601 | def floatInvTransform(self, x): |
---|
602 | """ |
---|
603 | transform a float.It is use to determine the x.View min and x.View |
---|
604 | max for values not in x |
---|
605 | |
---|
606 | """ |
---|
607 | #TODO: refactor this. This is just a hack to make the |
---|
608 | # functionality work without rewritting the whole code |
---|
609 | # with good design (which really should be done...). |
---|
610 | if(self.xLabel == "x^(2)"): |
---|
611 | return math.sqrt(x) |
---|
612 | |
---|
613 | elif(self.xLabel == "log10(x)"): |
---|
614 | return math.pow(10, x) |
---|
615 | |
---|
616 | elif(self.xLabel == "ln(x)"): |
---|
617 | return math.exp(x) |
---|
618 | return x |
---|
619 | |
---|
620 | def checkFitValues(self, item): |
---|
621 | """ |
---|
622 | Check the validity of input values |
---|
623 | """ |
---|
624 | flag = True |
---|
625 | value = item.GetValue() |
---|
626 | # Check for possible values entered |
---|
627 | if (self.xLabel == "log10(x)"): #or self.xLabel=="ln(x)"): |
---|
628 | if(float(value) > 0): |
---|
629 | item.SetBackgroundColour(wx.WHITE) |
---|
630 | item.Refresh() |
---|
631 | else: |
---|
632 | flag = False |
---|
633 | item.SetBackgroundColour("pink") |
---|
634 | item.Refresh() |
---|
635 | return flag |
---|
636 | |
---|
637 | def setFitRange(self, xmin, xmax, xminTrans, xmaxTrans): |
---|
638 | """ |
---|
639 | Set fit parameters |
---|
640 | """ |
---|
641 | self.xminFit.SetValue(format_number(xmin)) |
---|
642 | self.xmaxFit.SetValue(format_number(xmax)) |
---|
643 | |
---|
644 | def set_fit_region(self, xmin, xmax): |
---|
645 | """ |
---|
646 | Set the fit region |
---|
647 | :param xmin: minimum x-value to be included in fit |
---|
648 | :param xmax: maximum x-value to be included in fit |
---|
649 | """ |
---|
650 | # Check values |
---|
651 | try: |
---|
652 | float(xmin) |
---|
653 | float(xmax) |
---|
654 | except: |
---|
655 | msg = "LinearFit.set_fit_region: fit range must be floats" |
---|
656 | raise ValueError, msg |
---|
657 | self.xminFit.SetValue(format_number(xmin)) |
---|
658 | self.xmaxFit.SetValue(format_number(xmax)) |
---|
659 | |
---|
660 | |
---|
661 | class MyApp(wx.App): |
---|
662 | """ |
---|
663 | """ |
---|
664 | def OnInit(self): |
---|
665 | """ |
---|
666 | """ |
---|
667 | wx.InitAllImageHandlers() |
---|
668 | plot = Theory1D([], []) |
---|
669 | dialog = LinearFit(parent=None, plottable=plot, |
---|
670 | push_data=self.onFitDisplay, |
---|
671 | transform=self.returnTrans, |
---|
672 | title='Linear Fit') |
---|
673 | if dialog.ShowModal() == wx.ID_OK: |
---|
674 | pass |
---|
675 | dialog.Destroy() |
---|
676 | return 1 |
---|
677 | |
---|
678 | def onFitDisplay(self, tempx, tempy, xminView, xmaxView, xmin, xmax, func): |
---|
679 | """ |
---|
680 | """ |
---|
681 | pass |
---|
682 | |
---|
683 | def returnTrans(self): |
---|
684 | """ |
---|
685 | """ |
---|
686 | return '', '', 0, 0, 0, 0, 0 |
---|