1 | import os,os.path, re |
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2 | import sys, wx, logging |
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3 | import string, numpy, math |
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4 | |
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5 | from copy import deepcopy |
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6 | from danse.common.plottools.plottables import Data1D, Theory1D,Data2D,Theory2D |
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7 | from danse.common.plottools.PlotPanel import PlotPanel |
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8 | from sans.guicomm.events import NewPlotEvent, StatusEvent |
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9 | from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D |
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10 | from fitproblem import FitProblem |
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11 | from fitpanel import FitPanel |
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12 | |
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13 | import models,modelpage |
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14 | import fitpage1D,fitpage2D |
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15 | import park |
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16 | |
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17 | class Plugin: |
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18 | """ |
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19 | Fitting plugin is used to perform fit |
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20 | """ |
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21 | def __init__(self): |
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22 | ## Plug-in name |
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23 | self.sub_menu = "Fitting" |
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24 | |
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25 | ## Reference to the parent window |
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26 | self.parent = None |
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27 | self.menu_mng = models.ModelManager() |
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28 | ## List of panels for the simulation perspective (names) |
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29 | self.perspective = [] |
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30 | # Start with a good default |
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31 | self.elapsed = 0.022 |
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32 | self.fitter = None |
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33 | |
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34 | #Flag to let the plug-in know that it is running standalone |
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35 | self.standalone=True |
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36 | ## Fit engine |
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37 | self._fit_engine = 'scipy' |
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38 | self.enable_model2D=False |
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39 | # Log startup |
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40 | logging.info("Fitting plug-in started") |
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41 | |
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42 | def populate_menu(self, id, owner): |
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43 | """ |
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44 | Create a menu for the Fitting plug-in |
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45 | @param id: id to create a menu |
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46 | @param owner: owner of menu |
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47 | @ return : list of information to populate the main menu |
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48 | """ |
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49 | #Menu for fitting |
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50 | self.menu1 = wx.Menu() |
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51 | id1 = wx.NewId() |
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52 | self.menu1.Append(id1, '&Show fit panel') |
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53 | wx.EVT_MENU(owner, id1, self.on_perspective) |
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54 | id3 = wx.NewId() |
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55 | self.menu1.AppendCheckItem(id3, "park") |
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56 | wx.EVT_MENU(owner, id3, self._onset_engine) |
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57 | |
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58 | #menu for model |
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59 | menu2 = wx.Menu() |
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60 | |
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61 | self.menu_mng.populate_menu(menu2, owner) |
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62 | id2 = wx.NewId() |
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63 | owner.Bind(models.EVT_MODEL,self._on_model_menu) |
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64 | #owner.Bind(modelpage.EVT_MODEL,self._on_model_menu) |
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65 | self.fit_panel.set_owner(owner) |
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66 | self.fit_panel.set_model_list(self.menu_mng.get_model_list()) |
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67 | owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel) |
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68 | owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel) |
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69 | #create menubar items |
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70 | return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")] |
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71 | |
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72 | |
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73 | def help(self, evt): |
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74 | """ |
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75 | Show a general help dialog. |
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76 | TODO: replace the text with a nice image |
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77 | """ |
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78 | from helpDialog import HelpWindow |
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79 | dialog = HelpWindow(None, -1, 'HelpWindow') |
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80 | if dialog.ShowModal() == wx.ID_OK: |
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81 | pass |
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82 | dialog.Destroy() |
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83 | |
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84 | |
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85 | def get_context_menu(self, graph=None): |
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86 | """ |
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87 | Get the context menu items available for P(r) |
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88 | @param graph: the Graph object to which we attach the context menu |
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89 | @return: a list of menu items with call-back function |
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90 | """ |
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91 | self.graph=graph |
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92 | for item in graph.plottables: |
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93 | if item.__class__.__name__ is "Data2D": |
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94 | return [["Select data for Fitting",\ |
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95 | "Dialog with fitting parameters ", self._onSelect]] |
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96 | #elif item.__class__.__name__ is "Theory2D": |
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97 | # return [["Line Slicer [Q-view]","Sector Averaging as a function of Q", |
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98 | # self.onLineSlicer], |
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99 | # ["Annulus Slicer [Phi-view]","Sector Averaging as a function of Phi", |
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100 | # self.onLineSlicer]] |
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101 | else: |
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102 | if item.name==graph.selected_plottable and\ |
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103 | item.__class__.__name__ is "Data1D": |
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104 | return [["Select data for Fitting", \ |
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105 | "Dialog with fitting parameters ", self._onSelect]] |
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106 | return [] |
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107 | |
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108 | |
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109 | def get_panels(self, parent): |
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110 | """ |
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111 | Create and return a list of panel objects |
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112 | """ |
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113 | self.parent = parent |
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114 | # Creation of the fit panel |
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115 | self.fit_panel = FitPanel(self.parent, -1) |
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116 | #Set the manager forthe main panel |
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117 | self.fit_panel.set_manager(self) |
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118 | # List of windows used for the perspective |
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119 | self.perspective = [] |
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120 | self.perspective.append(self.fit_panel.window_name) |
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121 | # take care of saving data, model and page associated with each other |
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122 | self.page_finder = {} |
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123 | #index number to create random model name |
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124 | self.index_model = 0 |
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125 | #create the fitting panel |
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126 | return [self.fit_panel] |
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127 | |
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128 | |
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129 | def get_perspective(self): |
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130 | """ |
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131 | Get the list of panel names for this perspective |
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132 | """ |
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133 | return self.perspective |
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134 | |
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135 | |
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136 | def on_perspective(self, event): |
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137 | """ |
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138 | Call back function for the perspective menu item. |
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139 | We notify the parent window that the perspective |
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140 | has changed. |
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141 | """ |
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142 | self.parent.set_perspective(self.perspective) |
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143 | |
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144 | |
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145 | def post_init(self): |
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146 | """ |
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147 | Post initialization call back to close the loose ends |
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148 | [Somehow openGL needs this call] |
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149 | """ |
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150 | self.parent.set_perspective(self.perspective) |
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151 | |
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152 | |
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153 | def _onSelect(self,event): |
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154 | """ |
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155 | when Select data to fit a new page is created .Its reference is |
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156 | added to self.page_finder |
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157 | """ |
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158 | self.panel = event.GetEventObject() |
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159 | for item in self.panel.graph.plottables: |
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160 | if item.name == self.panel.graph.selected_plottable or\ |
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161 | item.__class__.__name__ is "Data2D": |
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162 | #find a name for the page created for notebook |
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163 | try: |
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164 | page = self.fit_panel.add_fit_page(item) |
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165 | # add data associated to the page created |
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166 | |
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167 | if page !=None: |
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168 | |
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169 | #create a fitproblem storing all link to data,model,page creation |
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170 | self.page_finder[page]= FitProblem() |
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171 | self.page_finder[page].add_data(item) |
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172 | except: |
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173 | wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\ |
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174 | %sys.exc_value)) |
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175 | def schedule_for_fit(self,value=0,fitproblem =None): |
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176 | """ |
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177 | |
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178 | """ |
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179 | if fitproblem !=None: |
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180 | fitproblem.schedule_tofit(value) |
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181 | else: |
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182 | current_pg=self.fit_panel.get_current_page() |
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183 | for page, val in self.page_finder.iteritems(): |
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184 | if page ==current_pg : |
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185 | val.schedule_tofit(value) |
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186 | break |
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187 | |
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188 | |
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189 | def get_page_finder(self): |
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190 | """ @return self.page_finder used also by simfitpage.py""" |
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191 | return self.page_finder |
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192 | |
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193 | |
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194 | def set_page_finder(self,modelname,names,values): |
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195 | """ |
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196 | Used by simfitpage.py to reset a parameter given the string constrainst. |
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197 | @param modelname: the name ot the model for with the parameter has to reset |
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198 | @param value: can be a string in this case. |
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199 | @param names: the paramter name |
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200 | @note: expecting park used for fit. |
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201 | """ |
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202 | sim_page=self.fit_panel.get_page(0) |
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203 | for page, value in self.page_finder.iteritems(): |
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204 | if page != sim_page: |
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205 | list=value.get_model() |
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206 | model=list[0] |
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207 | #print "fitting",model.name,modelname |
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208 | if model.name== modelname: |
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209 | value.set_model_param(names,values) |
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210 | break |
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211 | |
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212 | |
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213 | |
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214 | def split_string(self,item): |
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215 | """ |
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216 | receive a word containing dot and split it. used to split parameterset |
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217 | name into model name and parameter name example: |
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218 | paramaterset (item) = M1.A |
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219 | @return model_name =M1 , parameter name =A |
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220 | """ |
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221 | if string.find(item,".")!=-1: |
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222 | param_names= re.split("\.",item) |
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223 | model_name=param_names[0] |
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224 | param_name=param_names[1] |
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225 | return model_name,param_name |
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226 | |
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227 | |
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228 | def _single_fit_completed(self,result,pars,cpage,qmin,qmax,ymin=None, ymax=None): |
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229 | """ |
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230 | Display fit result on one page of the notebook. |
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231 | @param result: result of fit |
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232 | @param pars: list of names of parameters fitted |
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233 | @param current_pg: the page where information will be displayed |
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234 | @param qmin: the minimum value of x to replot the model |
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235 | @param qmax: the maximum value of x to replot model |
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236 | |
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237 | """ |
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238 | try: |
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239 | for page, value in self.page_finder.iteritems(): |
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240 | if page==cpage : |
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241 | #fitdata = value.get_data() |
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242 | list = value.get_model() |
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243 | model= list[0] |
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244 | break |
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245 | i = 0 |
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246 | # print "fitting: single fit pars ", pars |
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247 | for name in pars: |
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248 | if result.pvec.__class__==numpy.float64: |
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249 | model.setParam(name,result.pvec) |
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250 | else: |
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251 | model.setParam(name,result.pvec[i]) |
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252 | # print "fitting: single fit", name, result.pvec[i] |
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253 | i += 1 |
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254 | # print "fitting result : chisqr",result.fitness |
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255 | # print "fitting result : pvec",result.pvec |
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256 | # print "fitting result : stderr",result.stderr |
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257 | |
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258 | cpage.onsetValues(result.fitness, result.pvec,result.stderr) |
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259 | self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax) |
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260 | except: |
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261 | raise |
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262 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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263 | |
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264 | |
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265 | def _simul_fit_completed(self,result,qmin,qmax,ymin=None, ymax=None): |
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266 | """ |
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267 | Parameter estimation completed, |
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268 | display the results to the user |
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269 | @param alpha: estimated best alpha |
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270 | @param elapsed: computation time |
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271 | """ |
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272 | try: |
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273 | for page, value in self.page_finder.iteritems(): |
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274 | if value.get_scheduled()==1: |
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275 | #fitdata = value.get_data() |
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276 | list = value.get_model() |
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277 | model= list[0] |
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278 | |
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279 | small_out = [] |
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280 | small_cov = [] |
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281 | i = 0 |
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282 | #Separate result in to data corresponding to each page |
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283 | for p in result.parameters: |
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284 | model_name,param_name = self.split_string(p.name) |
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285 | if model.name == model_name: |
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286 | small_out.append(p.value ) |
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287 | small_cov.append(p.stderr) |
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288 | model.setParam(param_name,p.value) |
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289 | # Display result on each page |
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290 | page.onsetValues(result.fitness, small_out,small_cov) |
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291 | #Replot model |
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292 | self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax) |
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293 | except: |
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294 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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295 | |
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296 | |
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297 | def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None): |
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298 | """ |
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299 | perform fit for the current page and return chisqr,out and cov |
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300 | @param engineName: type of fit to be performed |
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301 | @param id: unique id corresponding to a fit problem(model, set of data) |
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302 | @param model: model to fit |
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303 | |
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304 | """ |
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305 | #print "in single fitting" |
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306 | #set an engine to perform fit |
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307 | from sans.fit.Fitting import Fit |
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308 | self.fitter= Fit(self._fit_engine) |
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309 | #Setting an id to store model and data in fit engine |
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310 | if id==None: |
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311 | id=0 |
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312 | self.id = id |
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313 | page_fitted=None |
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314 | fit_problem=None |
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315 | #Get information (model , data) related to the page on |
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316 | #with the fit will be perform |
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317 | #current_pg=self.fit_panel.get_current_page() |
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318 | #simul_pg=self.fit_panel.get_page(0) |
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319 | |
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320 | for page, value in self.page_finder.iteritems(): |
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321 | if value.get_scheduled() ==1 : |
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322 | metadata = value.get_data() |
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323 | list=value.get_model() |
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324 | model=list[0] |
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325 | #Create list of parameters for fitting used |
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326 | pars=[] |
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327 | templist=[] |
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328 | try: |
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329 | #templist=current_pg.get_param_list() |
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330 | templist=page.get_param_list() |
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331 | for element in templist: |
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332 | pars.append(str(element[0].GetLabelText())) |
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333 | pars.sort() |
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334 | #Do the single fit |
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335 | self.fitter.set_model(Model(model), self.id, pars) |
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336 | |
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337 | self.fitter.set_data(metadata,self.id,qmin,qmax) |
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338 | self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled()) |
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339 | page_fitted=page |
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340 | self.id+=1 |
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341 | self.schedule_for_fit( 0,value) |
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342 | except: |
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343 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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344 | return |
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345 | # make sure to keep an alphabetic order |
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346 | #of parameter names in the list |
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347 | try: |
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348 | result=self.fitter.fit() |
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349 | #self._single_fit_completed(result,pars,current_pg,qmin,qmax) |
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350 | #print "single_fit: result",result.fitness,result.pvec,result.stderr |
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351 | #self._single_fit_completed(result,pars,page,qmin,qmax) |
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352 | self._single_fit_completed(result,pars,page_fitted,qmin,qmax,ymin,ymax) |
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353 | except: |
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354 | raise |
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355 | wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value)) |
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356 | return |
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357 | |
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358 | def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None): |
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359 | """ |
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360 | perform fit for all the pages selected on simpage and return chisqr,out and cov |
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361 | @param engineName: type of fit to be performed |
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362 | @param id: unique id corresponding to a fit problem(model, set of data) |
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363 | in park_integration |
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364 | @param model: model to fit |
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365 | |
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366 | """ |
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367 | #set an engine to perform fit |
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368 | from sans.fit.Fitting import Fit |
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369 | self.fitter= Fit(self._fit_engine) |
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370 | |
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371 | #Setting an id to store model and data |
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372 | if id==None: |
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373 | id = 0 |
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374 | self.id = id |
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375 | |
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376 | for page, value in self.page_finder.iteritems(): |
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377 | try: |
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378 | if value.get_scheduled()==1: |
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379 | metadata = value.get_data() |
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380 | list = value.get_model() |
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381 | model= list[0] |
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382 | #Create dictionary of parameters for fitting used |
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383 | pars = [] |
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384 | templist = [] |
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385 | templist = page.get_param_list() |
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386 | for element in templist: |
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387 | try: |
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388 | name = str(element[0].GetLabelText()) |
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389 | pars.append(name) |
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390 | except: |
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391 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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392 | return |
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393 | new_model=Model(model) |
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394 | param=value.get_model_param() |
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395 | |
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396 | if len(param)>0: |
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397 | for item in param: |
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398 | param_value = item[1] |
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399 | param_name = item[0] |
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400 | #print "fitting ", param,param_name, param_value |
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401 | |
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402 | #new_model.set( model.getParam(param_name[0])= param_value) |
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403 | #new_model.set( exec"%s=%s"%(param_name[0], param_value)) |
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404 | #new_model.set( exec "%s"%(param_nam) = param_value) |
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405 | new_model.parameterset[ param_name].set( param_value ) |
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406 | |
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407 | self.fitter.set_model(new_model, self.id, pars) |
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408 | self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax) |
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409 | self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled()) |
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410 | self.id += 1 |
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411 | except: |
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412 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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413 | return |
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414 | #Do the simultaneous fit |
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415 | try: |
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416 | result=self.fitter.fit() |
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417 | self._simul_fit_completed(result,qmin,qmax,ymin,ymax) |
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418 | except: |
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419 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value)) |
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420 | return |
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421 | |
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422 | |
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423 | def _onset_engine(self,event): |
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424 | """ set engine to scipy""" |
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425 | if self._fit_engine== 'park': |
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426 | self._on_change_engine('scipy') |
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427 | else: |
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428 | self._on_change_engine('park') |
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429 | wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine)) |
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430 | |
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431 | |
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432 | def _on_change_engine(self, engine='park'): |
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433 | """ |
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434 | Allow to select the type of engine to perform fit |
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435 | @param engine: the key work of the engine |
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436 | """ |
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437 | self._fit_engine = engine |
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438 | |
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439 | |
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440 | def _on_model_panel(self, evt): |
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441 | """ |
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442 | react to model selection on any combo box or model menu.plot the model |
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443 | """ |
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444 | |
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445 | model = evt.model |
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446 | name = evt.name |
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447 | sim_page=self.fit_panel.get_page(0) |
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448 | current_pg = self.fit_panel.get_current_page() |
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449 | if current_pg != sim_page: |
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450 | current_pg.set_panel(model) |
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451 | |
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452 | try: |
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453 | metadata=self.page_finder[current_pg].get_data() |
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454 | M_name="M"+str(self.index_model)+"= "+name+"("+metadata.group_id+")" |
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455 | except: |
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456 | M_name="M"+str(self.index_model)+"= "+name |
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457 | model.name="M"+str(self.index_model) |
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458 | self.index_model += 1 |
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459 | |
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460 | self.page_finder[current_pg].set_model(model,M_name) |
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461 | self.plot_helper(currpage= current_pg,qmin= None,qmax= None) |
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462 | sim_page.add_model(self.page_finder) |
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463 | |
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464 | |
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465 | def redraw_model(self,qmin= None,qmax= None): |
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466 | """ |
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467 | Draw a theory according to model changes or data range. |
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468 | @param qmin: the minimum value plotted for theory |
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469 | @param qmax: the maximum value plotted for theory |
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470 | """ |
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471 | current_pg=self.fit_panel.get_current_page() |
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472 | for page, value in self.page_finder.iteritems(): |
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473 | if page ==current_pg : |
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474 | break |
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475 | self.plot_helper(currpage=page,qmin= qmin,qmax= qmax) |
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476 | |
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477 | def plot_helper(self,currpage,qmin=None,qmax=None,ymin=None,ymax=None): |
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478 | """ |
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479 | Plot a theory given a model and data |
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480 | @param model: the model from where the theory is derived |
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481 | @param currpage: page in a dictionary referring to some data |
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482 | """ |
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483 | if self.fit_panel.get_page_count() >1: |
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484 | for page in self.page_finder.iterkeys(): |
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485 | if page==currpage : |
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486 | data=self.page_finder[page].get_data() |
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487 | list=self.page_finder[page].get_model() |
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488 | model=list[0] |
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489 | break |
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490 | |
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491 | if data!=None and data.__class__.__name__ != 'Data2D': |
---|
492 | theory = Theory1D(x=[], y=[]) |
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493 | theory.name = "Model" |
---|
494 | theory.group_id = data.group_id |
---|
495 | |
---|
496 | x_name, x_units = data.get_xaxis() |
---|
497 | y_name, y_units = data.get_yaxis() |
---|
498 | theory.xaxis(x_name, x_units) |
---|
499 | theory.yaxis(y_name, y_units) |
---|
500 | if qmin == None : |
---|
501 | qmin = min(data.x) |
---|
502 | if qmax == None : |
---|
503 | qmax = max(data.x) |
---|
504 | try: |
---|
505 | tempx = qmin |
---|
506 | tempy = model.run(qmin) |
---|
507 | theory.x.append(tempx) |
---|
508 | theory.y.append(tempy) |
---|
509 | except : |
---|
510 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
511 | skipping point x %g %s" %(qmin, sys.exc_value))) |
---|
512 | |
---|
513 | for i in range(len(data.x)): |
---|
514 | try: |
---|
515 | if data.x[i]> qmin and data.x[i]< qmax: |
---|
516 | tempx = data.x[i] |
---|
517 | tempy = model.run(tempx) |
---|
518 | theory.x.append(tempx) |
---|
519 | theory.y.append(tempy) |
---|
520 | |
---|
521 | except: |
---|
522 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
523 | skipping point x %g %s" %(data.x[i], sys.exc_value))) |
---|
524 | try: |
---|
525 | tempx = qmax |
---|
526 | tempy = model.run(qmax) |
---|
527 | theory.x.append(tempx) |
---|
528 | theory.y.append(tempy) |
---|
529 | except: |
---|
530 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
531 | skipping point x %g %s" %(qmax, sys.exc_value))) |
---|
532 | |
---|
533 | else: |
---|
534 | theory=Theory2D(data.data, data.err_data) |
---|
535 | #theory=Theory2D(data.image, data.err_image) |
---|
536 | theory.x_bins= data.x_bins |
---|
537 | theory.y_bins= data.y_bins |
---|
538 | tempy=[] |
---|
539 | if qmin==None: |
---|
540 | qmin=data.xmin |
---|
541 | if qmax==None: |
---|
542 | qmax=data.xmax |
---|
543 | if ymin==None: |
---|
544 | ymin=data.ymin |
---|
545 | if ymax==None: |
---|
546 | ymax=data.ymax |
---|
547 | |
---|
548 | theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins))) |
---|
549 | for i in range(len(data.y_bins)): |
---|
550 | if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax: |
---|
551 | for j in range(len(data.x_bins)): |
---|
552 | if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax: |
---|
553 | theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]]) |
---|
554 | |
---|
555 | #print "fitting : plot_helper:", theory.image |
---|
556 | #print data.image |
---|
557 | #print "fitting : plot_helper:",theory.image |
---|
558 | theory.detector= data.detector |
---|
559 | theory.source= data.source |
---|
560 | theory.zmin= data.zmin |
---|
561 | theory.zmax= data.zmax |
---|
562 | theory.xmin= qmin |
---|
563 | theory.xmax= qmax |
---|
564 | theory.ymin= ymin |
---|
565 | theory.ymax= ymax |
---|
566 | |
---|
567 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model")) |
---|
568 | |
---|
569 | |
---|
570 | def _on_model_menu(self, evt): |
---|
571 | """ |
---|
572 | Plot a theory from a model selected from the menu |
---|
573 | """ |
---|
574 | |
---|
575 | model=evt.model() |
---|
576 | #name="Model View" |
---|
577 | #print "mon menu",model.name |
---|
578 | description=model.description |
---|
579 | #self.fit_panel.add_model_page(model,description,name) |
---|
580 | |
---|
581 | self.draw_model(model,self.enable_model2D) |
---|
582 | |
---|
583 | def draw_model(self,model,description=None, enable2D=False,qmin=None, qmax=None): |
---|
584 | """ |
---|
585 | draw model with default data value |
---|
586 | """ |
---|
587 | self.fit_panel.add_model_page(model,model.description,model.name) |
---|
588 | #x = numpy.arange(0.001, 1.0, 0.001) |
---|
589 | #y = numpy.arange(0.001, 1.0, 0.001) |
---|
590 | x = numpy.arange(-0.05, 0.05, 0.001) |
---|
591 | y = numpy.arange(-0.05, 0.05, 0.001) |
---|
592 | print "went here ",enable2D |
---|
593 | if enable2D: |
---|
594 | data=numpy.zeros([len(x),len(y)]) |
---|
595 | for i in range(len(y)): |
---|
596 | for j in range(len(x)): |
---|
597 | data[i][j]=model.runXY([j,i]) |
---|
598 | theory = Theory2D(data) |
---|
599 | theory.group_id =str(model.name)+" 2D" |
---|
600 | theory.xmin=-0.05 |
---|
601 | theory.xmax= 0.05 |
---|
602 | theory.ymin= -0.05 |
---|
603 | theory.ymax= 0.05 |
---|
604 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model 2D")) |
---|
605 | else: |
---|
606 | x = numpy.arange(0.001, 1.0, 0.001) |
---|
607 | xlen= len(x) |
---|
608 | y = numpy.zeros(xlen) |
---|
609 | if not enable2D: |
---|
610 | for i in range(xlen): |
---|
611 | y[i] = model.run(x[i]) |
---|
612 | |
---|
613 | try: |
---|
614 | new_plot = Theory1D(x, y) |
---|
615 | #new_plot.name = model.name |
---|
616 | new_plot.name = "Model" |
---|
617 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
618 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
619 | |
---|
620 | new_plot.group_id ="Fitness" |
---|
621 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D")) |
---|
622 | |
---|
623 | except: |
---|
624 | raise |
---|
625 | else: |
---|
626 | for i in range(xlen): |
---|
627 | y[i] = model.run(x[i]) |
---|
628 | |
---|
629 | try: |
---|
630 | new_plot = Theory1D(x, y) |
---|
631 | new_plot.name = model.name |
---|
632 | #new_plot.name = "Model" |
---|
633 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
634 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
635 | |
---|
636 | new_plot.group_id ="Fitness" |
---|
637 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D")) |
---|
638 | |
---|
639 | except: |
---|
640 | raise |
---|
641 | def on_draw_model2D(self, event): |
---|
642 | """ |
---|
643 | plot view model 2D |
---|
644 | """ |
---|
645 | |
---|
646 | if self.enable_model2D== True: |
---|
647 | self.enable_model2D=False |
---|
648 | else: |
---|
649 | self.enable_model2D=True |
---|
650 | print "self.enable_model2D",self.enable_model2D |
---|
651 | if __name__ == "__main__": |
---|
652 | i = Plugin() |
---|
653 | |
---|
654 | |
---|
655 | |
---|
656 | |
---|