[2140e68] | 1 | import 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 |
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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.guicomm.events import EVT_SLICER_PANEL,ERR_DATA |
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| 10 | |
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| 11 | from sans.fit.AbstractFitEngine import Model,FitData1D,FitData2D#,Data, |
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| 12 | from fitproblem import FitProblem |
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| 13 | from fitpanel import FitPanel |
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| 14 | from fit_thread import FitThread |
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| 15 | import models |
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| 16 | import fitpage |
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| 17 | |
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| 18 | DEFAULT_BEAM = 0.005 |
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| 19 | DEFAULT_QMIN = 0.0 |
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| 20 | DEFAULT_QMAX = 0.1 |
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| 21 | DEFAULT_NPTS = 50 |
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| 22 | import time |
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| 23 | import thread |
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| 24 | class PlotInfo: |
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| 25 | """ |
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| 26 | store some plotting field |
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| 27 | """ |
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| 28 | _xunit = 'A^{-1}' |
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| 29 | _xaxis= "\\rm{Q}" |
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| 30 | _yunit = "cm^{-1}" |
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| 31 | _yaxis= "\\rm{Intensity} " |
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| 32 | id = "Model" |
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| 33 | group_id = "Model" |
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| 34 | title= None |
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| 35 | info= None |
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| 36 | |
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| 37 | |
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| 38 | class Plugin: |
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| 39 | """ |
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| 40 | Fitting plugin is used to perform fit |
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| 41 | """ |
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| 42 | def __init__(self): |
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| 43 | ## Plug-in name |
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| 44 | self.sub_menu = "Fitting" |
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| 45 | |
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| 46 | ## Reference to the parent window |
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| 47 | self.parent = None |
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| 48 | #Provide list of models existing in the application |
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| 49 | self.menu_mng = models.ModelManager() |
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| 50 | ## List of panels for the simulation perspective (names) |
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| 51 | self.perspective = [] |
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| 52 | #list of panel to send to guiframe |
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| 53 | self.mypanels=[] |
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| 54 | # reference to the current running thread |
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| 55 | self.calc_2D= None |
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| 56 | self.calc_1D= None |
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| 57 | self.calc_fit= None |
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| 58 | |
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| 59 | # Start with a good default |
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| 60 | self.elapsed = 0.022 |
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| 61 | # the type of optimizer selected, park or scipy |
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| 62 | self.fitter = None |
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| 63 | #Flag to let the plug-in know that it is running stand alone |
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| 64 | self.standalone=True |
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| 65 | ## Fit engine |
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| 66 | self._fit_engine = 'scipy' |
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| 67 | #List of selected data |
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| 68 | self.selected_data_list=[] |
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| 69 | # Log startup |
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| 70 | logging.info("Fitting plug-in started") |
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| 71 | # model 2D view |
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| 72 | self.model2D_id=None |
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| 73 | #keep reference of the simultaneous fit page |
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| 74 | self.sim_page=None |
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| 75 | #dictionary containing data name and error on dy of that data |
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| 76 | self.err_dy={} |
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| 77 | |
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| 78 | |
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| 79 | |
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| 80 | def populate_menu(self, id, owner): |
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| 81 | """ |
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| 82 | Create a menu for the Fitting plug-in |
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| 83 | @param id: id to create a menu |
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| 84 | @param owner: owner of menu |
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| 85 | @ return : list of information to populate the main menu |
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| 86 | """ |
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| 87 | #Menu for fitting |
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| 88 | self.menu1 = wx.Menu() |
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| 89 | id1 = wx.NewId() |
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| 90 | self.menu1.Append(id1, '&Simultaneous') |
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| 91 | wx.EVT_MENU(owner, id1, self.on_add_sim_page) |
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| 92 | self.menu1.AppendSeparator() |
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| 93 | #Set park engine |
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| 94 | id3 = wx.NewId() |
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| 95 | scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...." |
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| 96 | self.menu1.Append(id3, "Scipy",scipy_help) |
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| 97 | wx.EVT_MENU(owner, id3, self._onset_engine_scipy) |
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| 98 | self.menu1.AppendSeparator() |
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| 99 | id3 = wx.NewId() |
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| 100 | park_help = "Park Engine: Perform Complex fit. More in Help window...." |
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| 101 | self.menu1.Append(id3, "park",park_help) |
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| 102 | wx.EVT_MENU(owner, id3, self._onset_engine_park) |
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| 103 | |
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| 104 | #menu for model |
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| 105 | menu2 = wx.Menu() |
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| 106 | |
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| 107 | self.menu_mng.populate_menu(menu2, owner) |
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| 108 | id2 = wx.NewId() |
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| 109 | owner.Bind(models.EVT_MODEL,self._on_model_menu) |
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| 110 | |
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| 111 | self.fit_panel.set_owner(owner) |
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| 112 | self.fit_panel.set_model_list(self.menu_mng.get_model_list()) |
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| 113 | owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel) |
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| 114 | |
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| 115 | #create menubar items |
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| 116 | return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")] |
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| 117 | |
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| 118 | def on_add_sim_page(self, event): |
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| 119 | """ |
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| 120 | Create a page to access simultaneous fit option |
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| 121 | """ |
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| 122 | self.sim_page= self.fit_panel.add_sim_page() |
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| 123 | self.sim_page.draw_page(self.page_finder) |
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| 124 | |
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| 125 | |
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| 126 | def help(self, evt): |
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| 127 | """ |
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| 128 | Show a general help dialog. |
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| 129 | TODO: replace the text with a nice image |
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| 130 | """ |
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| 131 | from helpPanel import HelpWindow |
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| 132 | frame = HelpWindow(None, -1, 'HelpWindow') |
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| 133 | frame.Show(True) |
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| 134 | |
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| 135 | |
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| 136 | def get_context_menu(self, graph=None): |
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| 137 | """ |
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| 138 | Get the context menu items available for P(r) |
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| 139 | @param graph: the Graph object to which we attach the context menu |
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| 140 | @return: a list of menu items with call-back function |
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| 141 | """ |
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| 142 | self.graph=graph |
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| 143 | for item in graph.plottables: |
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| 144 | if item.__class__.__name__ is "Data2D": |
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| 145 | return [["Select data for Fitting",\ |
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| 146 | "Dialog with fitting parameters ", self._onSelect]] |
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| 147 | else: |
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| 148 | |
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| 149 | if item.name==graph.selected_plottable : |
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| 150 | if not hasattr(item, "group_id"): |
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| 151 | return [] |
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| 152 | return [["Select data for Fitting", \ |
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| 153 | "Dialog with fitting parameters ", self._onSelect]] |
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| 154 | return [] |
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| 155 | |
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| 156 | |
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| 157 | def get_panels(self, parent): |
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| 158 | """ |
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| 159 | Create and return a list of panel objects |
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| 160 | """ |
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| 161 | self.parent = parent |
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| 162 | # Creation of the fit panel |
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| 163 | self.fit_panel = FitPanel(self.parent, -1) |
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| 164 | #Set the manager for the main panel |
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| 165 | self.fit_panel.set_manager(self) |
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| 166 | # List of windows used for the perspective |
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| 167 | self.perspective = [] |
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| 168 | self.perspective.append(self.fit_panel.window_name) |
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| 169 | # take care of saving data, model and page associated with each other |
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| 170 | self.page_finder = {} |
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| 171 | #index number to create random model name |
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| 172 | self.index_model = 0 |
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| 173 | self.index_theory= 0 |
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| 174 | self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event) |
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| 175 | self.parent.Bind( ERR_DATA, self._on_data_error) |
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| 176 | |
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| 177 | #Send the fitting panel to guiframe |
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| 178 | self.mypanels.append(self.fit_panel) |
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| 179 | return self.mypanels |
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| 180 | |
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| 181 | |
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| 182 | |
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| 183 | def get_perspective(self): |
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| 184 | """ |
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| 185 | Get the list of panel names for this perspective |
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| 186 | """ |
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| 187 | return self.perspective |
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| 188 | |
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| 189 | |
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| 190 | def on_perspective(self, event): |
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| 191 | """ |
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| 192 | Call back function for the perspective menu item. |
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| 193 | We notify the parent window that the perspective |
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| 194 | has changed. |
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| 195 | """ |
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| 196 | self.parent.set_perspective(self.perspective) |
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| 197 | |
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| 198 | |
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| 199 | def post_init(self): |
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| 200 | """ |
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| 201 | Post initialization call back to close the loose ends |
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| 202 | [Somehow openGL needs this call] |
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| 203 | """ |
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| 204 | self.parent.set_perspective(self.perspective) |
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| 205 | |
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| 206 | |
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| 207 | def copy_data(self, item, dy): |
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| 208 | """ |
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| 209 | receive a data 1D and the list of errors on dy |
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| 210 | and create a new data1D data |
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| 211 | @param return |
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| 212 | """ |
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| 213 | detector=None |
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| 214 | source=None |
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| 215 | dxl=None |
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| 216 | dxw=None |
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| 217 | if hasattr(item, "dxl"): |
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| 218 | dxl = item.dxl |
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| 219 | if hasattr(item, "dxw"): |
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| 220 | dxw = item.dxw |
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| 221 | if hasattr(item, "detector"): |
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| 222 | detector =item.detector |
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| 223 | if hasattr(item, "source"): |
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| 224 | source =item.source |
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| 225 | from sans.guiframe import dataFitting |
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| 226 | data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw) |
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| 227 | data.name=item.name |
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| 228 | data.detector=detector |
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| 229 | data.source= source |
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| 230 | return data |
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| 231 | |
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| 232 | |
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| 233 | |
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| 234 | |
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| 235 | def schedule_for_fit(self,value=0,fitproblem =None): |
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| 236 | """ |
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| 237 | Set the fit problem field to 0 or 1 to schedule that problem to fit. |
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| 238 | Schedule the specified fitproblem or get the fit problem related to |
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| 239 | the current page and set value. |
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| 240 | @param value : integer 0 or 1 |
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| 241 | @param fitproblem: fitproblem to schedule or not to fit |
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| 242 | """ |
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| 243 | if fitproblem !=None: |
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| 244 | fitproblem.schedule_tofit(value) |
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| 245 | else: |
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| 246 | current_pg=self.fit_panel.get_current_page() |
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| 247 | for page, val in self.page_finder.iteritems(): |
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| 248 | if page ==current_pg : |
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| 249 | val.schedule_tofit(value) |
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| 250 | break |
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| 251 | |
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| 252 | |
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| 253 | def get_page_finder(self): |
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| 254 | """ @return self.page_finder used also by simfitpage.py""" |
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| 255 | return self.page_finder |
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| 256 | |
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| 257 | |
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| 258 | def set_page_finder(self,modelname,names,values): |
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| 259 | """ |
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| 260 | Used by simfitpage.py to reset a parameter given the string constrainst. |
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| 261 | @param modelname: the name ot the model for with the parameter has to reset |
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| 262 | @param value: can be a string in this case. |
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| 263 | @param names: the paramter name |
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| 264 | @note: expecting park used for fit. |
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| 265 | """ |
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| 266 | sim_page= self.sim_page |
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| 267 | for page, value in self.page_finder.iteritems(): |
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| 268 | if page != sim_page: |
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| 269 | list=value.get_model() |
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| 270 | model = list[0] |
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| 271 | if model.name== modelname: |
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| 272 | value.set_model_param(names,values) |
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| 273 | break |
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| 274 | |
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| 275 | |
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| 276 | |
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| 277 | def split_string(self,item): |
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| 278 | """ |
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| 279 | receive a word containing dot and split it. used to split parameterset |
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| 280 | name into model name and parameter name example: |
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| 281 | paramaterset (item) = M1.A |
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| 282 | @return model_name =M1 , parameter name =A |
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| 283 | """ |
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| 284 | if string.find(item,".")!=-1: |
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| 285 | param_names= re.split("\.",item) |
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| 286 | model_name=param_names[0] |
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| 287 | param_name=param_names[1] |
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| 288 | return model_name,param_name |
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| 289 | |
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| 290 | |
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| 291 | def stop_fit(self): |
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| 292 | """ |
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| 293 | Stop the fit engine |
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| 294 | """ |
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| 295 | if self.calc_fit!= None and self.calc_thread.isrunning(): |
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| 296 | self.calc_thread.stop() |
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| 297 | wx.PostEvent(self.parent, StatusEvent(status="Fitting \ |
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| 298 | is cancelled" , type="stop")) |
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| 299 | |
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| 300 | |
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| 301 | def on_single_fit(self,id=None,qmin=None, qmax=None): |
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| 302 | """ |
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| 303 | perform fit for the current page and return chisqr,out and cov |
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| 304 | @param engineName: type of fit to be performed |
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| 305 | @param id: unique id corresponding to a fit problem(model, set of data) |
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| 306 | @param model: model to fit |
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| 307 | |
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| 308 | """ |
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| 309 | #set an engine to perform fit |
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| 310 | from sans.fit.Fitting import Fit |
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| 311 | self.fitter = Fit(self._fit_engine) |
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| 312 | #Setting an id to store model and data in fit engine |
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| 313 | self.fit_id = 0 |
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| 314 | if id!=None: |
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| 315 | self.fit_id = id |
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| 316 | |
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| 317 | page_fitted = None |
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| 318 | fit_problem = None |
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| 319 | #Get information (model , data) related to the page on |
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| 320 | #with the fit will be perform |
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| 321 | current_pg= self.fit_panel.get_current_page() |
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| 322 | simul_pg= self.sim_page |
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| 323 | pars=[] |
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| 324 | ## Check that the current page is different from self.sim_page |
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| 325 | if current_pg != simul_pg: |
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| 326 | value = self.page_finder[current_pg] |
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| 327 | metadata = value.get_fit_data() |
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| 328 | list = value.get_model() |
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| 329 | model = list[0] |
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| 330 | smearer = value.get_smearer() |
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| 331 | |
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| 332 | #Create list of parameters for fitting used |
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| 333 | templist=[] |
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| 334 | try: |
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| 335 | ## get the list of parameter names to fit |
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| 336 | templist = current_pg.get_param_list() |
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| 337 | |
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| 338 | for element in templist: |
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| 339 | pars.append(str(element[1])) |
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| 340 | |
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| 341 | pars.sort() |
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| 342 | #Do the single fit |
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| 343 | self.fitter.set_model(Model(model), self.fit_id, pars) |
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| 344 | dy=[] |
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| 345 | x=[] |
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| 346 | y=[] |
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| 347 | ## checking the validity of error |
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| 348 | if metadata.__class__ in ["Data1D","Theory1D"]: |
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| 349 | for i in range(len(metadata.dy)): |
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| 350 | if metadata.dy[i] !=0: |
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| 351 | dy.append(metadata.dy[i]) |
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| 352 | x.append(metadata.x[i]) |
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| 353 | y.append(metadata.y[i]) |
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| 354 | if len(dy)>0: |
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| 355 | metadata.dy=numpy.zeros(len(dy)) |
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| 356 | metadata.dy=dy |
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| 357 | metadata.y=numpy.zeros(len(y)) |
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| 358 | metadata.y=y |
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| 359 | metadata.x=numpy.zeros(len(x)) |
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| 360 | metadata.x=x |
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| 361 | |
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| 362 | self.fitter.set_data(data=metadata,Uid=self.fit_id, |
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| 363 | smearer=smearer,qmin= qmin,qmax=qmax ) |
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| 364 | |
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| 365 | self.fitter.select_problem_for_fit(Uid= self.fit_id, |
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| 366 | value= value.get_scheduled()) |
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| 367 | page_fitted=current_pg |
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| 368 | |
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| 369 | except: |
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| 370 | msg= "Single Fit error: %s" % sys.exc_value |
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| 371 | wx.PostEvent(self.parent, StatusEvent(status= msg )) |
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| 372 | return |
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| 373 | # make sure to keep an alphabetic order |
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| 374 | #of parameter names in the list |
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| 375 | try: |
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| 376 | ## If a thread is already started, stop it |
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| 377 | if self.calc_fit!= None and self.calc_fit.isrunning(): |
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| 378 | self.calc_fit.stop() |
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| 379 | |
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| 380 | self.calc_fit=FitThread(parent =self.parent, |
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| 381 | fn= self.fitter, |
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| 382 | pars= pars, |
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| 383 | cpage= page_fitted, |
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| 384 | qmin=qmin, |
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| 385 | qmax=qmax, |
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| 386 | |
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| 387 | completefn=self._single_fit_completed, |
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| 388 | updatefn=None) |
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| 389 | self.calc_fit.queue() |
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| 390 | self.calc_fit.ready(2.5) |
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| 391 | |
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| 392 | except: |
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| 393 | wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value)) |
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| 394 | return |
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| 395 | |
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| 396 | def on_simul_fit(self, id=None,qmin=None,qmax=None): |
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| 397 | """ |
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| 398 | perform fit for all the pages selected on simpage and return chisqr,out and cov |
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| 399 | @param engineName: type of fit to be performed |
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| 400 | @param id: unique id corresponding to a fit problem(model, set of data) |
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| 401 | in park_integration |
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| 402 | @param model: model to fit |
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| 403 | |
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| 404 | """ |
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| 405 | ##Setting an id to store model and data |
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| 406 | self.fit_id= 0 |
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| 407 | #Setting an id to store model and data |
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| 408 | if id!=None: |
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| 409 | self.fit_id= id |
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| 410 | ## count the number of fitproblem schedule to fit |
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| 411 | fitproblem_count= 0 |
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| 412 | for value in self.page_finder.itervalues(): |
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| 413 | if value.get_scheduled()==1: |
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| 414 | fitproblem_count += 1 |
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| 415 | ## if simultaneous fit change automatically the engine to park |
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| 416 | if fitproblem_count >1: |
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| 417 | self._on_change_engine(engine='park') |
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| 418 | from sans.fit.Fitting import Fit |
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| 419 | self.fitter= Fit(self._fit_engine) |
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| 420 | |
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| 421 | |
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| 422 | for page, value in self.page_finder.iteritems(): |
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| 423 | try: |
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| 424 | if value.get_scheduled()==1: |
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| 425 | metadata = value.get_fit_data() |
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| 426 | list = value.get_model() |
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| 427 | model= list[0] |
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| 428 | ## store page |
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| 429 | cpage= page |
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| 430 | #Get list of parameters name to fit |
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| 431 | pars = [] |
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| 432 | templist = [] |
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| 433 | templist = page.get_param_list() |
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| 434 | for element in templist: |
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| 435 | try: |
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| 436 | name = str(element[0].GetLabelText()) |
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| 437 | pars.append(name) |
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| 438 | except: |
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| 439 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value)) |
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| 440 | return |
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| 441 | ## create a park model and reset parameter value if constraint |
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| 442 | ## is given |
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| 443 | new_model=Model(model) |
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| 444 | param=value.get_model_param() |
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| 445 | |
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| 446 | if len(param)>0: |
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| 447 | for item in param: |
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| 448 | param_value = item[1] |
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| 449 | param_name = item[0] |
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| 450 | |
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| 451 | new_model.parameterset[ param_name].set( param_value ) |
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| 452 | |
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| 453 | self.fitter.set_model(new_model, self.fit_id, pars) |
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| 454 | ## check that non -zero value are send as dy in the fit engine |
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| 455 | dy=[] |
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| 456 | x=[] |
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| 457 | y=[] |
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| 458 | if metadata.__class__ in ["Data1D","Theory1D"]: |
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| 459 | for i in range(len(metadata.dy)): |
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| 460 | if metadata.dy[i] !=0: |
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| 461 | dy.append(metadata.dy[i]) |
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| 462 | x.append(metadata.x[i]) |
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| 463 | y.append(metadata.y[i]) |
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| 464 | if len(dy)>0: |
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| 465 | metadata.dy=numpy.zeros(len(dy)) |
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| 466 | metadata.dy=dy |
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| 467 | metadata.y=numpy.zeros(len(y)) |
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| 468 | metadata.y=y |
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| 469 | metadata.x=numpy.zeros(len(x)) |
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| 470 | metadata.x=x |
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| 471 | |
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| 472 | self.fitter.set_data(metadata,self.fit_id,qmin,qmax) |
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| 473 | self.fitter.select_problem_for_fit(Uid= self.fit_id, |
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| 474 | value= value.get_scheduled()) |
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| 475 | self.fit_id += 1 |
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| 476 | value.clear_model_param() |
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| 477 | |
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| 478 | except: |
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| 479 | msg= "Simultaneous Fit error: %s" % sys.exc_value |
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| 480 | wx.PostEvent(self.parent, StatusEvent(status= msg )) |
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| 481 | return |
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| 482 | |
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| 483 | #Do the simultaneous fit |
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| 484 | try: |
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| 485 | ## If a thread is already started, stop it |
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| 486 | if self.calc_fit!= None and self.calc_fit.isrunning(): |
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| 487 | self.calc_fit.stop() |
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| 488 | ## perform single fit |
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| 489 | if fitproblem_count==1: |
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| 490 | self.calc_fit=FitThread(parent =self.parent, |
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| 491 | fn= self.fitter, |
---|
| 492 | qmin=qmin, |
---|
| 493 | qmax=qmax, |
---|
| 494 | ymin= ymin, |
---|
| 495 | ymax= ymax, |
---|
| 496 | cpage=cpage, |
---|
| 497 | pars= pars, |
---|
| 498 | completefn= self._simul_fit_completed, |
---|
| 499 | updatefn=None) |
---|
| 500 | |
---|
| 501 | else: |
---|
| 502 | ## Perform more than 1 fit at the time |
---|
| 503 | self.calc_fit=FitThread(parent =self.parent, |
---|
| 504 | fn= self.fitter, |
---|
| 505 | qmin=qmin, |
---|
| 506 | qmax=qmax, |
---|
| 507 | ymin= ymin, |
---|
| 508 | ymax= ymax, |
---|
| 509 | completefn= self._simul_fit_completed, |
---|
| 510 | updatefn=None) |
---|
| 511 | self.calc_fit.queue() |
---|
| 512 | self.calc_fit.ready(2.5) |
---|
| 513 | |
---|
| 514 | except: |
---|
| 515 | msg= "Simultaneous Fit error: %s" % sys.exc_value |
---|
| 516 | wx.PostEvent(self.parent, StatusEvent(status= msg )) |
---|
| 517 | return |
---|
| 518 | |
---|
| 519 | def set_smearer(self,smearer, qmin=None, qmax=None): |
---|
| 520 | """ |
---|
| 521 | Get a smear object and store it to a fit problem |
---|
| 522 | @param smearer: smear object to allow smearing data |
---|
| 523 | """ |
---|
| 524 | current_pg=self.fit_panel.get_current_page() |
---|
| 525 | self.page_finder[current_pg].set_smearer(smearer) |
---|
| 526 | ## draw model 1D with smeared data |
---|
| 527 | data = self.page_finder[current_pg].get_plotted_data() |
---|
| 528 | list = self.page_finder[current_pg].get_model() |
---|
| 529 | ## if user has already selected a model to plot |
---|
| 530 | ## redraw the model with data smeared |
---|
| 531 | if len(list)>0: |
---|
| 532 | model = list[0] |
---|
| 533 | smearer =self.page_finder[current_pg].get_smearer() |
---|
| 534 | if smearer != None: |
---|
| 535 | self.draw_model( model=model, data= data, smearer= smearer, |
---|
| 536 | qmin= qmin, qmax= qmax) |
---|
| 537 | |
---|
| 538 | |
---|
| 539 | |
---|
| 540 | def draw_model(self, model, data= None,smearer= None, |
---|
| 541 | enable1D= True, enable2D= False, |
---|
| 542 | qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS): |
---|
| 543 | """ |
---|
| 544 | Draw model. |
---|
| 545 | @param model: the model to draw |
---|
| 546 | @param name: the name of the model to draw |
---|
| 547 | @param data: the data on which the model is based to be drawn |
---|
| 548 | @param description: model's description |
---|
| 549 | @param enable1D: if true enable drawing model 1D |
---|
| 550 | @param enable2D: if true enable drawing model 2D |
---|
| 551 | @param qmin: Range's minimum value to draw model |
---|
| 552 | @param qmax: Range's maximum value to draw model |
---|
| 553 | @param qstep: number of step to divide the x and y-axis |
---|
| 554 | |
---|
| 555 | """ |
---|
| 556 | ## draw model 1D with no loaded data |
---|
| 557 | self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer, |
---|
| 558 | qmin= qmin, qmax= qmax, qstep= qstep ) |
---|
| 559 | ## draw model 2D with no initial data |
---|
| 560 | self._draw_model2D(model=model, |
---|
| 561 | data = data, |
---|
| 562 | enable2D= enable2D, |
---|
| 563 | qmin=qmin, |
---|
| 564 | qmax=qmax, |
---|
| 565 | qstep=qstep) |
---|
| 566 | |
---|
| 567 | |
---|
| 568 | |
---|
| 569 | def _onSelect(self,event): |
---|
| 570 | """ |
---|
| 571 | when Select data to fit a new page is created .Its reference is |
---|
| 572 | added to self.page_finder |
---|
| 573 | """ |
---|
| 574 | self.panel = event.GetEventObject() |
---|
| 575 | for item in self.panel.graph.plottables: |
---|
| 576 | if item.name == self.panel.graph.selected_plottable: |
---|
| 577 | ## put the errors values back to the model if the errors were hiden |
---|
| 578 | ## before sending them to the fit engine |
---|
| 579 | if len(self.err_dy)>0: |
---|
| 580 | if item.name in self.err_dy.iterkeys(): |
---|
| 581 | dy= self.err_dy[item.name] |
---|
| 582 | data= self.copy_data(item, dy) |
---|
| 583 | else: |
---|
| 584 | data= item |
---|
| 585 | else: |
---|
| 586 | if item.dy==None: |
---|
| 587 | dy= numpy.zeros(len(item.y)) |
---|
| 588 | dy[dy==0]=1 |
---|
| 589 | data= self.copy_data(item, dy) |
---|
| 590 | else: |
---|
| 591 | data= item |
---|
| 592 | else: |
---|
| 593 | data= item |
---|
| 594 | ## create anew page |
---|
| 595 | if item.name == self.panel.graph.selected_plottable or\ |
---|
| 596 | item.__class__.__name__ is "Data2D": |
---|
| 597 | try: |
---|
| 598 | page = self.fit_panel.add_fit_page(data) |
---|
| 599 | # add data associated to the page created |
---|
| 600 | if page !=None: |
---|
| 601 | #create a fitproblem storing all link to data,model,page creation |
---|
| 602 | self.page_finder[page]= FitProblem() |
---|
| 603 | ## item is almost the same as data but contains |
---|
| 604 | ## axis info for plotting |
---|
| 605 | self.page_finder[page].add_plotted_data(item) |
---|
| 606 | self.page_finder[page].add_fit_data(data) |
---|
| 607 | |
---|
| 608 | wx.PostEvent(self.parent, StatusEvent(status="Page Created")) |
---|
| 609 | else: |
---|
| 610 | wx.PostEvent(self.parent, StatusEvent(status="Page was already Created")) |
---|
| 611 | except: |
---|
| 612 | wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\ |
---|
| 613 | %sys.exc_value)) |
---|
| 614 | return |
---|
| 615 | |
---|
| 616 | def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None): |
---|
| 617 | """ |
---|
| 618 | Display fit result on one page of the notebook. |
---|
| 619 | @param result: result of fit |
---|
| 620 | @param pars: list of names of parameters fitted |
---|
| 621 | @param current_pg: the page where information will be displayed |
---|
| 622 | @param qmin: the minimum value of x to replot the model |
---|
| 623 | @param qmax: the maximum value of x to replot model |
---|
| 624 | |
---|
| 625 | """ |
---|
| 626 | wx.PostEvent(self.parent, StatusEvent(status="Single fit \ |
---|
| 627 | complete! " , type="stop")) |
---|
| 628 | try: |
---|
| 629 | for page, value in self.page_finder.iteritems(): |
---|
| 630 | if page==cpage : |
---|
| 631 | list = value.get_model() |
---|
| 632 | model= list[0] |
---|
| 633 | break |
---|
| 634 | i = 0 |
---|
| 635 | for name in pars: |
---|
| 636 | if result.pvec.__class__==numpy.float64: |
---|
| 637 | model.setParam(name,result.pvec) |
---|
| 638 | else: |
---|
| 639 | model.setParam(name,result.pvec[i]) |
---|
| 640 | i += 1 |
---|
| 641 | ## Reset values of the current page to fit result |
---|
| 642 | cpage.onsetValues(result.fitness, result.pvec,result.stderr) |
---|
| 643 | ## plot the current model with new param |
---|
| 644 | metadata = self.page_finder[cpage].get_fit_data() |
---|
| 645 | list = self.page_finder[cpage].get_model() |
---|
| 646 | model = list[0] |
---|
| 647 | self.draw_model( model=model, data= metadata,qmin= qmin, qmax= qmax) |
---|
| 648 | |
---|
| 649 | except: |
---|
| 650 | msg= "Single Fit completed but Following error occurred:" |
---|
| 651 | wx.PostEvent(self.parent, StatusEvent(status="%s %s" % (msg, sys.exc_value))) |
---|
| 652 | return |
---|
| 653 | |
---|
| 654 | |
---|
| 655 | def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, |
---|
| 656 | xmin=None, xmax=None, ymin=None, ymax=None): |
---|
| 657 | """ |
---|
| 658 | Parameter estimation completed, |
---|
| 659 | display the results to the user |
---|
| 660 | @param alpha: estimated best alpha |
---|
| 661 | @param elapsed: computation time |
---|
| 662 | """ |
---|
| 663 | if cpage!=None: |
---|
| 664 | self._single_fit_completed(result=result,pars=pars,cpage=cpage, |
---|
| 665 | qmin=qmin,qmax=qmax, |
---|
| 666 | ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax) |
---|
| 667 | return |
---|
| 668 | else: |
---|
| 669 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \ |
---|
| 670 | complete ", type="stop")) |
---|
| 671 | ## fit more than 1 model at the same time |
---|
| 672 | try: |
---|
| 673 | for page, value in self.page_finder.iteritems(): |
---|
| 674 | if value.get_scheduled()==1: |
---|
| 675 | list = value.get_model() |
---|
| 676 | model= list[0] |
---|
| 677 | |
---|
| 678 | small_out = [] |
---|
| 679 | small_cov = [] |
---|
| 680 | i = 0 |
---|
| 681 | #Separate result in to data corresponding to each page |
---|
| 682 | for p in result.parameters: |
---|
| 683 | model_name,param_name = self.split_string(p.name) |
---|
| 684 | if model.name == model_name: |
---|
| 685 | small_out.append(p.value ) |
---|
| 686 | if p.stderr==None: |
---|
| 687 | p.stderr=numpy.nan |
---|
| 688 | small_cov.append(p.stderr) |
---|
| 689 | model.setParam(param_name,p.value) |
---|
| 690 | |
---|
| 691 | # Display result on each page |
---|
| 692 | page.onsetValues(result.fitness, small_out,small_cov) |
---|
| 693 | #Replot models |
---|
| 694 | msg= "Single Fit completed plotting %s:"%model.name |
---|
| 695 | wx.PostEvent(self.parent, StatusEvent(status="%s " % msg)) |
---|
| 696 | self.plot_helper(currpage= page,qmin= qmin,qmax= qmax, |
---|
| 697 | xmin=xmin, xmax=xmax, |
---|
| 698 | ymin=ymin, ymax=ymax) |
---|
| 699 | except: |
---|
| 700 | msg= "Simultaneous Fit completed but Following error occurred: " |
---|
| 701 | wx.PostEvent(self.parent, StatusEvent(status="%s%s" %(msg,sys.exc_value))) |
---|
| 702 | return |
---|
| 703 | |
---|
| 704 | |
---|
| 705 | |
---|
| 706 | def _on_show_panel(self, event): |
---|
| 707 | print "_on_show_panel: fitting" |
---|
| 708 | |
---|
| 709 | |
---|
| 710 | def _onset_engine_park(self,event): |
---|
| 711 | """ |
---|
| 712 | set engine to park |
---|
| 713 | """ |
---|
| 714 | self._on_change_engine('park') |
---|
| 715 | |
---|
| 716 | |
---|
| 717 | def _onset_engine_scipy(self,event): |
---|
| 718 | """ |
---|
| 719 | set engine to scipy |
---|
| 720 | """ |
---|
| 721 | self._on_change_engine('scipy') |
---|
| 722 | |
---|
| 723 | def _on_slicer_event(self, event): |
---|
| 724 | """ |
---|
| 725 | Receive a panel as event and send it to guiframe |
---|
| 726 | @param event: event containing a panel |
---|
| 727 | """ |
---|
| 728 | if event.panel!=None: |
---|
| 729 | new_panel = event.panel |
---|
| 730 | # Set group ID if available |
---|
| 731 | event_id = self.parent.popup_panel(new_panel) |
---|
| 732 | self.menu1.Append(event_id, new_panel.window_caption, |
---|
| 733 | "Show %s plot panel" % new_panel.window_caption) |
---|
| 734 | # Set UID to allow us to reference the panel later |
---|
| 735 | new_panel.uid = event_id |
---|
| 736 | new_panel |
---|
| 737 | self.mypanels.append(new_panel) |
---|
| 738 | return |
---|
| 739 | |
---|
| 740 | def _on_change_engine(self, engine='park'): |
---|
| 741 | """ |
---|
| 742 | Allow to select the type of engine to perform fit |
---|
| 743 | @param engine: the key work of the engine |
---|
| 744 | """ |
---|
| 745 | self._fit_engine = engine |
---|
| 746 | wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine)) |
---|
| 747 | |
---|
| 748 | |
---|
| 749 | def _on_model_panel(self, evt): |
---|
| 750 | """ |
---|
| 751 | react to model selection on any combo box or model menu.plot the model |
---|
| 752 | @param evt: wx.combobox event |
---|
| 753 | """ |
---|
| 754 | model = evt.model |
---|
| 755 | if model ==None: |
---|
| 756 | return |
---|
| 757 | |
---|
| 758 | sim_page=self.sim_page |
---|
| 759 | current_pg = self.fit_panel.get_current_page() |
---|
| 760 | ## make sure nothing is done on self.sim_page |
---|
| 761 | ## example trying to call set_panel on self.sim_page |
---|
| 762 | if current_pg != sim_page: |
---|
| 763 | |
---|
| 764 | if self.page_finder[current_pg].get_model()== None : |
---|
| 765 | |
---|
| 766 | model.name="M"+str(self.index_model) |
---|
| 767 | self.index_model += 1 |
---|
| 768 | else: |
---|
| 769 | |
---|
| 770 | model.name= self.page_finder[current_pg].get_model().name |
---|
| 771 | |
---|
| 772 | |
---|
| 773 | metadata = self.page_finder[current_pg].get_plotted_data() |
---|
| 774 | |
---|
| 775 | # save the name containing the data name with the appropriate model |
---|
| 776 | self.page_finder[current_pg].set_model(model) |
---|
| 777 | print "wwent hete",model.name |
---|
| 778 | # save model name |
---|
| 779 | self.draw_model( model=model, data= metadata) |
---|
| 780 | |
---|
| 781 | if self.sim_page!=None: |
---|
| 782 | self.sim_page.draw_page(self.page_finder) |
---|
| 783 | |
---|
| 784 | |
---|
| 785 | |
---|
| 786 | def _on_model_menu(self, evt): |
---|
| 787 | """ |
---|
| 788 | Plot a theory from a model selected from the menu |
---|
| 789 | @param evt: wx.menu event |
---|
| 790 | """ |
---|
| 791 | name = evt.model.__class__.__name__ |
---|
| 792 | if hasattr(evt.model, "name"): |
---|
| 793 | name = evt.model.name |
---|
| 794 | model=evt.model |
---|
| 795 | description=model.description |
---|
| 796 | |
---|
| 797 | # Create a model page. If a new page is created, the model |
---|
| 798 | # will be plotted automatically. If a page already exists, |
---|
| 799 | # the content will be updated and the plot refreshed |
---|
| 800 | self.fit_panel.add_model_page(model,description,name,topmenu=True) |
---|
| 801 | |
---|
| 802 | |
---|
| 803 | |
---|
| 804 | |
---|
| 805 | def _update1D(self,x, output): |
---|
| 806 | """ |
---|
| 807 | Update the output of plotting model 1D |
---|
| 808 | """ |
---|
| 809 | self.calc_thread.ready(1) |
---|
| 810 | |
---|
| 811 | def _fill_default_model2D(self, theory, qmax,qstep, qmin=None): |
---|
| 812 | """ |
---|
| 813 | fill Data2D with default value |
---|
| 814 | @param theory: Data2D to fill |
---|
| 815 | """ |
---|
| 816 | from DataLoader.data_info import Detector, Source |
---|
| 817 | |
---|
| 818 | detector = Detector() |
---|
| 819 | theory.detector.append(detector) |
---|
| 820 | |
---|
| 821 | theory.detector[0].distance=1e+32 |
---|
| 822 | theory.source= Source() |
---|
| 823 | theory.source.wavelength=2*math.pi/1e+32 |
---|
| 824 | |
---|
| 825 | ## Create detector for Model 2D |
---|
| 826 | xmax=2*theory.detector[0].distance*math.atan(\ |
---|
| 827 | qmax/(4*math.pi/theory.source.wavelength)) |
---|
| 828 | |
---|
| 829 | theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5) |
---|
| 830 | theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5) |
---|
| 831 | theory.detector[0].beam_center.x= qmax |
---|
| 832 | theory.detector[0].beam_center.y= qmax |
---|
| 833 | ## create x_bins and y_bins of the model 2D |
---|
| 834 | distance = theory.detector[0].distance |
---|
| 835 | pixel = qstep/2-1 |
---|
| 836 | theta = pixel / distance / qstep#100.0 |
---|
| 837 | wavelength = theory.source.wavelength |
---|
| 838 | pixel_width_x = theory.detector[0].pixel_size.x |
---|
| 839 | pixel_width_y = theory.detector[0].pixel_size.y |
---|
| 840 | center_x = theory.detector[0].beam_center.x/pixel_width_x |
---|
| 841 | center_y = theory.detector[0].beam_center.y/pixel_width_y |
---|
| 842 | |
---|
| 843 | |
---|
| 844 | size_x, size_y= numpy.shape(theory.data) |
---|
| 845 | for i_x in range(size_x): |
---|
| 846 | theta = (i_x-center_x)*pixel_width_x / distance |
---|
| 847 | qx = 4.0*math.pi/wavelength * math.tan(theta/2.0) |
---|
| 848 | theory.x_bins.append(qx) |
---|
| 849 | for i_y in range(size_y): |
---|
| 850 | theta = (i_y-center_y)*pixel_width_y / distance |
---|
| 851 | qy =4.0*math.pi/wavelength * math.tan(theta/2.0) |
---|
| 852 | theory.y_bins.append(qy) |
---|
| 853 | |
---|
| 854 | theory.group_id ="Model" |
---|
| 855 | theory.id ="Model" |
---|
| 856 | ## determine plot boundaries |
---|
| 857 | theory.xmin= -qmax |
---|
| 858 | theory.xmax= qmax |
---|
| 859 | theory.ymin= -qmax |
---|
| 860 | theory.ymax= qmax |
---|
| 861 | |
---|
| 862 | |
---|
| 863 | def _get_plotting_info(self, data=None): |
---|
| 864 | """ |
---|
| 865 | get plotting info from data if data !=None |
---|
| 866 | else use some default |
---|
| 867 | """ |
---|
| 868 | my_info = PlotInfo() |
---|
| 869 | if data !=None: |
---|
| 870 | if hasattr(data,"info"): |
---|
| 871 | x_name, x_units = data.get_xaxis() |
---|
| 872 | y_name, y_units = data.get_yaxis() |
---|
| 873 | |
---|
| 874 | my_info._xunit = x_units |
---|
| 875 | my_info._xaxis = x_name |
---|
| 876 | my_info._yunit = y_units |
---|
| 877 | my_info._yaxis = y_name |
---|
| 878 | |
---|
| 879 | my_info.title= data.name |
---|
| 880 | if hasattr(data, "info"): |
---|
| 881 | my_info.info= data.info |
---|
| 882 | if hasattr(data, "group_id"): |
---|
| 883 | my_info.group_id= data.group_id |
---|
| 884 | |
---|
| 885 | return my_info |
---|
| 886 | |
---|
| 887 | def _complete1D(self, x,y, elapsed,model,data=None): |
---|
| 888 | """ |
---|
| 889 | Complete plotting 1D data |
---|
| 890 | """ |
---|
| 891 | try: |
---|
| 892 | new_plot = Theory1D(x=x, y=y) |
---|
| 893 | my_info = self._get_plotting_info( data) |
---|
| 894 | new_plot.name = model.name |
---|
| 895 | new_plot.id = my_info.id |
---|
| 896 | new_plot.group_id = my_info.group_id |
---|
| 897 | |
---|
| 898 | new_plot.xaxis( my_info._xaxis, my_info._xunit) |
---|
| 899 | new_plot.yaxis( my_info._yaxis, my_info._yunit) |
---|
| 900 | |
---|
| 901 | # Pass the reset flag to let the plotting event handler |
---|
| 902 | # know that we are replacing the whole plot |
---|
| 903 | title= my_info.title |
---|
| 904 | if title== None: |
---|
| 905 | title="Analytical model 1D " |
---|
| 906 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
| 907 | title= str(title), reset=True )) |
---|
| 908 | else: |
---|
| 909 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
| 910 | title= str(title))) |
---|
| 911 | |
---|
| 912 | except: |
---|
| 913 | msg= " Error occurred when drawing %s Model 1D: "%new_plot.name |
---|
| 914 | msg+= " %s"%sys.exc_value |
---|
| 915 | wx.PostEvent( self.parent, StatusEvent(status= msg )) |
---|
| 916 | return |
---|
| 917 | |
---|
| 918 | |
---|
| 919 | |
---|
| 920 | |
---|
| 921 | def _update2D(self, output,time=None): |
---|
| 922 | """ |
---|
| 923 | Update the output of plotting model |
---|
| 924 | """ |
---|
| 925 | wx.PostEvent(self.parent, StatusEvent(status="Plot \ |
---|
| 926 | #updating ... ",type="update")) |
---|
| 927 | self.calc_thread.ready(0.01) |
---|
| 928 | |
---|
| 929 | |
---|
| 930 | def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS): |
---|
| 931 | """ |
---|
| 932 | Complete get the result of modelthread and create model 2D |
---|
| 933 | that can be plot. |
---|
| 934 | """ |
---|
| 935 | msg = "Calc complete !" |
---|
| 936 | wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" )) |
---|
| 937 | |
---|
| 938 | err_image = numpy.zeros(numpy.shape(image)) |
---|
| 939 | err_image[err_image==0]= 1 |
---|
| 940 | theory= Data2D(image= image , err_image= err_image) |
---|
| 941 | theory.name= model.name |
---|
| 942 | |
---|
| 943 | if data ==None: |
---|
| 944 | self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin) |
---|
| 945 | |
---|
| 946 | else: |
---|
| 947 | theory.id= "Model" |
---|
| 948 | theory.group_id= "Model"+data.name |
---|
| 949 | theory.x_bins= data.x_bins |
---|
| 950 | theory.y_bins= data.y_bins |
---|
| 951 | theory.detector= data.detector |
---|
| 952 | theory.source= data.source |
---|
| 953 | |
---|
| 954 | ## plot boundaries |
---|
| 955 | theory.ymin= data.ymin |
---|
| 956 | theory.ymax= data.ymax |
---|
| 957 | theory.xmin= data.xmin |
---|
| 958 | theory.xmax= data.xmax |
---|
| 959 | |
---|
| 960 | ## plot |
---|
| 961 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
| 962 | title="Analytical model 2D ", reset=True )) |
---|
| 963 | |
---|
| 964 | def _on_data_error(self, event): |
---|
| 965 | """ |
---|
| 966 | receives and event from plotting plu-gins to store the data name and |
---|
| 967 | their errors of y coordinates for 1Data hide and show error |
---|
| 968 | """ |
---|
| 969 | self.err_dy= event.err_dy |
---|
| 970 | |
---|
| 971 | def _draw_model2D(self,model,data=None,description=None, enable2D=False, |
---|
| 972 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
| 973 | """ |
---|
| 974 | draw model in 2D |
---|
| 975 | @param model: instance of the model to draw |
---|
| 976 | @param description: the description of the model |
---|
| 977 | @param enable2D: when True allows to draw model 2D |
---|
| 978 | @param qmin: the minimum value to draw model 2D |
---|
| 979 | @param qmax: the maximum value to draw model 2D |
---|
| 980 | @param qstep: the number of division of Qx and Qy of the model to draw |
---|
| 981 | |
---|
| 982 | """ |
---|
| 983 | |
---|
| 984 | x= numpy.linspace(start= -1*qmax, |
---|
| 985 | stop= qmax, |
---|
| 986 | num= qstep, |
---|
| 987 | endpoint=True ) |
---|
| 988 | y = numpy.linspace(start= -1*qmax, |
---|
| 989 | stop= qmax, |
---|
| 990 | num= qstep, |
---|
| 991 | endpoint=True ) |
---|
| 992 | ## use data info instead |
---|
| 993 | if data !=None: |
---|
| 994 | ## check if data2D to plot |
---|
| 995 | if hasattr(data, "x_bins"): |
---|
| 996 | enable2D = True |
---|
| 997 | x= data.x_bins |
---|
| 998 | y= data.y_bins |
---|
| 999 | |
---|
| 1000 | if not enable2D: |
---|
| 1001 | return |
---|
| 1002 | try: |
---|
| 1003 | from model_thread import Calc2D |
---|
| 1004 | ## If a thread is already started, stop it |
---|
| 1005 | if self.calc_2D != None and self.calc_2D.isrunning(): |
---|
| 1006 | self.calc_2D.stop() |
---|
| 1007 | self.calc_2D = Calc2D( x= x, |
---|
| 1008 | y= y, |
---|
| 1009 | model= model, |
---|
| 1010 | data = data, |
---|
| 1011 | qmin= qmin, |
---|
| 1012 | qmax= qmax, |
---|
| 1013 | qstep= qstep, |
---|
| 1014 | completefn= self._complete2D, |
---|
| 1015 | updatefn= self._update2D ) |
---|
| 1016 | self.calc_2D.queue() |
---|
| 1017 | |
---|
| 1018 | except: |
---|
| 1019 | msg= " Error occurred when drawing %s Model 2D: "%model.name |
---|
| 1020 | msg+= " %s"%sys.exc_value |
---|
| 1021 | wx.PostEvent( self.parent, StatusEvent(status= msg )) |
---|
| 1022 | return |
---|
| 1023 | |
---|
| 1024 | def _draw_model1D(self, model, data=None, smearer= None, |
---|
| 1025 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True): |
---|
| 1026 | """ |
---|
| 1027 | Draw model 1D from loaded data1D |
---|
| 1028 | @param data: loaded data |
---|
| 1029 | @param model: the model to plot |
---|
| 1030 | """ |
---|
| 1031 | |
---|
| 1032 | x= numpy.linspace(start= qmin, |
---|
| 1033 | stop= qmax, |
---|
| 1034 | num= qstep, |
---|
| 1035 | endpoint=True |
---|
| 1036 | ) |
---|
| 1037 | if data!=None: |
---|
| 1038 | ## check for data2D |
---|
| 1039 | if hasattr(data,"x_bins"): |
---|
| 1040 | return |
---|
| 1041 | x = data.x |
---|
| 1042 | if qmin == DEFAULT_QMIN : |
---|
| 1043 | qmin = min(data.x) |
---|
| 1044 | if qmax == DEFAULT_QMAX: |
---|
| 1045 | qmax = max(data.x) |
---|
| 1046 | |
---|
| 1047 | if not enable1D: |
---|
| 1048 | return |
---|
| 1049 | |
---|
| 1050 | try: |
---|
| 1051 | from model_thread import Calc1D |
---|
| 1052 | ## If a thread is already started, stop it |
---|
| 1053 | if self.calc_1D!= None and self.calc_1D.isrunning(): |
---|
| 1054 | self.calc_1D.stop() |
---|
| 1055 | self.calc_1D= Calc1D( x= x, |
---|
| 1056 | data = data, |
---|
| 1057 | model= model, |
---|
| 1058 | qmin = qmin, |
---|
| 1059 | qmax = qmax, |
---|
| 1060 | smearer = smearer, |
---|
| 1061 | completefn = self._complete1D, |
---|
| 1062 | updatefn = self._update1D ) |
---|
| 1063 | self.calc_1D.queue() |
---|
| 1064 | |
---|
| 1065 | except: |
---|
| 1066 | msg= " Error occurred when drawing %s Model 1D: "%model.name |
---|
| 1067 | msg+= " %s"%sys.exc_value |
---|
| 1068 | wx.PostEvent( self.parent, StatusEvent(status= msg )) |
---|
| 1069 | return |
---|
| 1070 | |
---|
| 1071 | |
---|
| 1072 | |
---|
| 1073 | |
---|
| 1074 | |
---|
| 1075 | if __name__ == "__main__": |
---|
| 1076 | i = Plugin() |
---|
| 1077 | |
---|
| 1078 | |
---|
| 1079 | |
---|
| 1080 | |
---|