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2 | |
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3 | |
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4 | ################################################################################ |
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5 | #This software was developed by the University of Tennessee as part of the |
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6 | #Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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7 | #project funded by the US National Science Foundation. |
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8 | # |
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9 | #See the license text in license.txt |
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10 | # |
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11 | #copyright 2009, University of Tennessee |
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12 | ################################################################################ |
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13 | import os |
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14 | import sys |
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15 | import wx |
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16 | import copy |
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17 | import logging, time |
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18 | from sans.invariant import invariant |
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19 | |
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20 | from DataLoader.data_info import Data1D as LoaderData1D |
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21 | from sans.guiframe.dataFitting import Theory1D, Data1D |
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22 | |
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23 | from sans.guicomm.events import NewPlotEvent, StatusEvent |
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24 | from sans.guicomm.events import ERR_DATA |
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25 | from invariant_state import Reader as reader |
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26 | from DataLoader.loader import Loader |
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27 | from invariant_panel import InvariantPanel |
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28 | |
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29 | class Plugin: |
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30 | """ |
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31 | This class defines the interface for invariant Plugin class |
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32 | that can be used by the gui_manager. |
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33 | """ |
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34 | |
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35 | def __init__(self, standalone=False): |
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36 | """ |
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37 | Abstract class for gui_manager Plugins. |
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38 | """ |
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39 | ## Plug-in name. It will appear on the application menu. |
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40 | self.sub_menu = "Invariant" |
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41 | |
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42 | ## Reference to the parent window. Filled by get_panels() below. |
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43 | self.parent = None |
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44 | #dictionary containing data name and error on dy of that data |
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45 | self.err_dy = {} |
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46 | ## List of panels that you would like to open in AUI windows |
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47 | # for your plug-in. This defines your plug-in "perspective" |
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48 | self.perspective = [] |
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49 | |
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50 | # is this data from *.inv file? |
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51 | self.is_state_data = False |
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52 | |
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53 | self.state_reader = None |
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54 | """ |
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55 | # Create a CanSAS/Pr reader |
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56 | self.state_reader = Reader(self.set_state) |
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57 | l = Loader() |
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58 | l.associate_file_reader('.inv', self.state_reader) |
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59 | """ |
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60 | # Log startup |
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61 | logging.info("Invariant plug-in started") |
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62 | |
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63 | def populate_menu(self, id, parent): |
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64 | """ |
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65 | Create and return the list of application menu |
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66 | items for the plug-in. |
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67 | |
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68 | :param id: deprecated. Un-used. |
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69 | :param parent: parent window |
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70 | |
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71 | :return: plug-in menu |
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72 | """ |
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73 | return [] |
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74 | |
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75 | def help(self, evt): |
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76 | """ |
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77 | Show a general help dialog. |
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78 | """ |
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79 | from help_panel import HelpWindow |
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80 | frame = HelpWindow(None, -1) |
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81 | frame.Show(True) |
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82 | |
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83 | def get_panels(self, parent): |
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84 | """ |
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85 | Create and return the list of wx.Panels for your plug-in. |
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86 | Define the plug-in perspective. |
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87 | |
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88 | Panels should inherit from DefaultPanel defined below, |
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89 | or should present the same interface. They must define |
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90 | "window_caption" and "window_name". |
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91 | |
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92 | :param parent: parent window |
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93 | |
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94 | :return: list of panels |
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95 | """ |
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96 | ## Save a reference to the parent |
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97 | self.parent = parent |
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98 | #add error back to the data |
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99 | self.parent.Bind(ERR_DATA, self._on_data_error) |
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100 | |
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101 | |
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102 | self.invariant_panel = InvariantPanel(parent=self.parent) |
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103 | self.invariant_panel.set_manager(manager=self) |
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104 | self.perspective.append(self.invariant_panel.window_name) |
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105 | #Create reader when fitting panel are created |
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106 | self.state_reader = reader(self.set_state) |
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107 | #append that reader to list of available reader |
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108 | loader = Loader() |
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109 | loader.associate_file_reader(".inv", self.state_reader) |
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110 | # Return the list of panels |
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111 | return [self.invariant_panel] |
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112 | |
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113 | def get_tools(self): |
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114 | """ |
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115 | Returns a set of menu entries for tools |
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116 | """ |
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117 | return [] |
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118 | |
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119 | |
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120 | def get_context_menu(self, graph=None): |
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121 | """ |
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122 | This method is optional. |
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123 | |
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124 | When the context menu of a plot is rendered, the |
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125 | get_context_menu method will be called to give you a |
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126 | chance to add a menu item to the context menu. |
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127 | |
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128 | A ref to a Graph object is passed so that you can |
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129 | investigate the plot content and decide whether you |
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130 | need to add items to the context menu. |
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131 | |
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132 | This method returns a list of menu items. |
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133 | Each item is itself a list defining the text to |
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134 | appear in the menu, a tool-tip help text, and a |
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135 | call-back method. |
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136 | |
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137 | :param graph: the Graph object to which we attach the context menu |
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138 | |
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139 | :return: a list of menu items with call-back function |
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140 | """ |
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141 | self.graph = graph |
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142 | invariant_option = "Compute invariant" |
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143 | invariant_hint = "Will displays the invariant panel for futher computation" |
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144 | |
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145 | for item in self.graph.plottables: |
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146 | if item.name == graph.selected_plottable : |
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147 | if issubclass(item.__class__,LoaderData1D): |
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148 | |
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149 | if item.name !="$I_{obs}(q)$" and item.name !="$P_{fit}(r)$": |
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150 | if hasattr(item, "group_id"): |
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151 | return [[invariant_option, |
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152 | invariant_hint, self._compute_invariant]] |
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153 | return [] |
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154 | |
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155 | |
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156 | def get_perspective(self): |
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157 | """ |
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158 | Get the list of panel names for this perspective |
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159 | """ |
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160 | return self.perspective |
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161 | |
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162 | def on_perspective(self, event): |
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163 | """ |
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164 | Call back function for the perspective menu item. |
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165 | We notify the parent window that the perspective |
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166 | has changed. |
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167 | |
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168 | :param event: menu event |
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169 | """ |
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170 | self.parent.set_perspective(self.perspective) |
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171 | |
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172 | def post_init(self): |
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173 | """ |
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174 | Post initialization call back to close the loose ends |
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175 | """ |
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176 | pass |
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177 | |
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178 | def set_default_perspective(self): |
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179 | """ |
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180 | Call back method that True to notify the parent that the current plug-in |
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181 | can be set as default perspective. |
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182 | when returning False, the plug-in is not candidate for an automatic |
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183 | default perspective setting |
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184 | """ |
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185 | return False |
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186 | |
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187 | def copy_data(self, item, dy=None): |
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188 | """ |
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189 | receive a data 1D and the list of errors on dy |
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190 | and create a new data1D data |
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191 | """ |
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192 | id = None |
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193 | if hasattr(item,"id"): |
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194 | id = item.id |
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195 | |
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196 | data = Data1D(x=item.x, y=item.y, dx=None, dy=None) |
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197 | data.copy_from_datainfo(item) |
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198 | item.clone_without_data(clone=data) |
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199 | data.dy = dy |
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200 | data.name = item.name |
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201 | |
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202 | ## allow to highlight data when plotted |
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203 | data.interactive = item.interactive |
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204 | ## when 2 data have the same id override the 1 st plotted |
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205 | data.id = id |
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206 | data.group_id = item.group_id |
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207 | return data |
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208 | |
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209 | def _on_data_error(self, event): |
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210 | """ |
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211 | receives and event from plotting plu-gins to store the data name and |
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212 | their errors of y coordinates for 1Data hide and show error |
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213 | """ |
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214 | self.err_dy = event.err_dy |
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215 | |
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216 | def _compute_invariant(self, event): |
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217 | """ |
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218 | Open the invariant panel to invariant computation |
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219 | """ |
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220 | self.panel = event.GetEventObject() |
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221 | Plugin.on_perspective(self,event=event) |
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222 | for plottable in self.panel.graph.plottables: |
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223 | if plottable.name == self.panel.graph.selected_plottable: |
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224 | ## put the errors values back to the model if the errors were hiden |
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225 | ## before sending them to the fit engine |
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226 | if len(self.err_dy)>0: |
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227 | dy = plottable.dy |
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228 | if plottable.name in self.err_dy.iterkeys(): |
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229 | dy = self.err_dy[plottable.name] |
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230 | data = self.copy_data(plottable, dy) |
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231 | else: |
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232 | data = plottable |
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233 | self.compute_helper(data=data) |
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234 | |
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235 | def compute_helper(self, data): |
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236 | """ |
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237 | """ |
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238 | if data is None: |
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239 | return |
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240 | if self.is_state_data: |
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241 | self.is_state_data = False |
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242 | else: |
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243 | # Store reference to data |
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244 | self.__data = data |
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245 | # Set the data set to be user for invariant calculation |
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246 | self.invariant_panel.set_current_data(data=data) |
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247 | |
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248 | def save_file(self, filepath, state=None): |
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249 | """ |
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250 | Save data in provided state object. |
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251 | |
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252 | :param filepath: path of file to write to |
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253 | :param state: invariant state |
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254 | """ |
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255 | |
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256 | # Write the state to file |
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257 | # First, check that the data is of the right type |
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258 | |
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259 | current_plottable = self.__data |
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260 | |
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261 | if issubclass(current_plottable.__class__, LoaderData1D): |
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262 | self.state_reader.write(filepath, current_plottable, state) |
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263 | else: |
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264 | raise RuntimeError, "invariant.save_file: the data being saved is not a DataLoader.data_info.Data1D object" |
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265 | |
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266 | def set_state(self, state, datainfo=None): |
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267 | """ |
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268 | Call-back method for the state reader. |
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269 | This method is called when a .inv file is loaded. |
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270 | |
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271 | :param state: State object |
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272 | """ |
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273 | try: |
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274 | if datainfo is None: |
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275 | raise RuntimeError, "invariant.set_state: datainfo parameter cannot be None in standalone mode" |
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276 | datainfo.meta_data['invstate'].file = datainfo.meta_data['invstate'].file |
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277 | datainfo.name = datainfo.meta_data['invstate'].file |
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278 | datainfo.filename = datainfo.meta_data['invstate'].file |
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279 | self.__data = datainfo |
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280 | self.__data.group_id = datainfo.filename |
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281 | self.__data.id = datainfo.filename |
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282 | |
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283 | temp_state = copy.deepcopy(state) |
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284 | |
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285 | # Load the invariant states |
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286 | # Make sure the user sees the invariant panel after loading |
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287 | self.parent.set_perspective(self.perspective) |
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288 | # set state |
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289 | self.invariant_panel.set_state(state=temp_state,data=self.__data) |
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290 | self.is_state_data = True |
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291 | |
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292 | except: |
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293 | logging.error("invariant.set_state: %s" % sys.exc_value) |
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294 | |
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295 | |
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296 | |
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297 | def plot_theory(self, data=None, name=None): |
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298 | """ |
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299 | Receive a data set and post a NewPlotEvent to parent. |
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300 | |
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301 | :param data: extrapolated data to be plotted |
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302 | :param name: Data's name to use for the legend |
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303 | """ |
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304 | import copy |
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305 | if data is None: |
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306 | new_plot = Theory1D(x=[], y=[], dy=None) |
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307 | else: |
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308 | scale =self.invariant_panel.get_scale() |
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309 | background = self.invariant_panel.get_background() |
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310 | |
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311 | if scale != 0: |
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312 | # Put back the sacle and bkg for plotting |
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313 | data.y = (data.y + background)/scale |
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314 | new_plot = Theory1D(x=data.x, y=data.y, dy=None) |
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315 | else: |
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316 | msg = "Scale can not be zero." |
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317 | raise ValueError, msg |
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318 | |
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319 | new_plot.name = name |
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320 | new_plot.xaxis(self.__data._xaxis, self.__data._xunit) |
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321 | new_plot.yaxis(self.__data._yaxis, self.__data._yunit) |
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322 | new_plot.group_id = self.__data.group_id |
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323 | new_plot.id = self.__data.id + name |
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324 | # Save theory_data in a state |
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325 | if data != None: |
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326 | name_head = name.split('-') |
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327 | if name_head[0]=='Low': |
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328 | self.invariant_panel.state.theory_lowQ = copy.deepcopy(new_plot) |
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329 | elif name_head[0]=='High': |
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330 | self.invariant_panel.state.theory_highQ = copy.deepcopy(new_plot) |
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331 | |
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332 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=self.__data.name)) |
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333 | |
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334 | def plot_data(self, scale, background): |
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335 | """ |
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336 | replot the current data if the user enters a new scale or background |
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337 | """ |
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338 | new_plot = scale * self.__data - background |
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339 | new_plot.name = self.__data.name |
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340 | new_plot.group_id = self.__data.group_id |
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341 | new_plot.id = self.__data.id |
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342 | |
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343 | # Save data in a state: but seems to never happen |
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344 | if new_plot != None: |
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345 | self.invariant_panel.state.data = copy.deepcopy(new_plot) |
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346 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=new_plot.name)) |
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347 | |
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