| 1 | import os,os.path, re |
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| 2 | import sys, wx, logging |
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| 3 | import string, numpy, pylab, math |
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| 4 | |
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| 5 | from sans.guitools.plottables import Data1D, Theory1D |
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| 6 | from sans.guitools.PlotPanel import PlotPanel |
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| 7 | from sans.guicomm.events import NewPlotEvent, StatusEvent |
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| 8 | from copy import deepcopy |
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| 9 | from sans.fit.AbstractFitEngine import Model |
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| 10 | from sans.fit.AbstractFitEngine import Data |
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| 11 | from fitproblem import FitProblem |
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| 12 | from fitpanel import FitPanel |
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| 13 | |
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| 14 | import models |
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| 15 | import fitpage |
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| 16 | class PlottableData(Data,Data1D): |
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| 17 | """ class plottable data""" |
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| 18 | def __init__(self,data,data1d): |
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| 19 | self.x = data1d.x |
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| 20 | self.y = data1d.y |
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| 21 | self.dx= data1d.dx |
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| 22 | self.dy= data1d.dy |
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| 23 | |
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| 24 | self.group_id= data1d.group_id |
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| 25 | x_name, x_units = data1d.get_xaxis() |
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| 26 | y_name, y_units = data1d.get_yaxis() |
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| 27 | self.xaxis( x_name, x_units) |
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| 28 | self.yaxis( y_name, y_units ) |
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| 29 | self.qmin=data.qmin |
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| 30 | self.qmax=data.qmax |
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| 31 | class Plugin: |
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| 32 | """ |
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| 33 | """ |
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| 34 | |
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| 35 | def __init__(self): |
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| 36 | ## Plug-in name |
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| 37 | self.sub_menu = "Fitting" |
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| 38 | |
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| 39 | ## Reference to the parent window |
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| 40 | self.parent = None |
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| 41 | self.menu_mng = models.ModelManager() |
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| 42 | ## List of panels for the simulation perspective (names) |
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| 43 | self.perspective = [] |
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| 44 | # Start with a good default |
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| 45 | self.elapsed = 0.022 |
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| 46 | self.fitter = None |
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| 47 | |
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| 48 | #Flag to let the plug-in know that it is running standalone |
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| 49 | self.standalone=True |
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| 50 | ## Fit engine |
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| 51 | self._fit_engine = 'scipy' |
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| 52 | # Log startup |
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| 53 | logging.info("Fitting plug-in started") |
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| 54 | |
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| 55 | def populate_menu(self, id, owner): |
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| 56 | """ |
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| 57 | Create a menu for the Fitting plug-in |
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| 58 | @param id: id to create a menu |
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| 59 | @param owner: owner of menu |
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| 60 | @ return : list of information to populate the main menu |
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| 61 | """ |
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| 62 | #Menu for fitting |
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| 63 | self.menu1 = wx.Menu() |
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| 64 | id1 = wx.NewId() |
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| 65 | self.menu1.Append(id1, '&Show fit panel') |
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| 66 | wx.EVT_MENU(owner, id1, self.on_perspective) |
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| 67 | |
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| 68 | #menu for model |
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| 69 | menu2 = wx.Menu() |
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| 70 | self.menu_mng.populate_menu(menu2, owner) |
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| 71 | id2 = wx.NewId() |
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| 72 | owner.Bind(models.EVT_MODEL,self._on_model_menu) |
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| 73 | self.fit_panel.set_owner(owner) |
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| 74 | self.fit_panel.set_model_list(self.menu_mng.get_model_list()) |
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| 75 | owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel) |
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| 76 | #owner.Bind(modelpage.EVT_MODEL_DRAW,self.draw_model) |
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| 77 | |
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| 78 | return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")] |
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| 79 | |
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| 80 | |
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| 81 | def help(self, evt): |
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| 82 | """ |
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| 83 | Show a general help dialog. |
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| 84 | TODO: replace the text with a nice image |
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| 85 | """ |
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| 86 | pass |
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| 87 | |
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| 88 | def get_context_menu(self, graph=None): |
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| 89 | """ |
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| 90 | Get the context menu items available for P(r) |
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| 91 | @param graph: the Graph object to which we attach the context menu |
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| 92 | @return: a list of menu items with call-back function |
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| 93 | """ |
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| 94 | |
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| 95 | self.graph=graph |
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| 96 | for item in graph.plottables: |
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| 97 | if item.name==graph.selected_plottable and item.__class__.__name__ is not "Theory1D": |
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| 98 | return [["Select Data", "Dialog with fitting parameters ", self._onSelect]] |
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| 99 | return [] |
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| 100 | |
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| 101 | |
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| 102 | def get_panels(self, parent): |
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| 103 | """ |
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| 104 | Create and return a list of panel objects |
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| 105 | """ |
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| 106 | self.parent = parent |
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| 107 | # Creation of the fit panel |
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| 108 | self.fit_panel = FitPanel(self.parent, -1) |
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| 109 | #Set the manager forthe main panel |
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| 110 | self.fit_panel.set_manager(self) |
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| 111 | # List of windows used for the perspective |
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| 112 | self.perspective = [] |
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| 113 | self.perspective.append(self.fit_panel.window_name) |
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| 114 | # take care of saving data, model and page associated with each other |
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| 115 | self.page_finder={} |
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| 116 | self.index_model=0 |
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| 117 | return [self.fit_panel] |
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| 118 | |
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| 119 | |
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| 120 | def get_perspective(self): |
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| 121 | """ |
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| 122 | Get the list of panel names for this perspective |
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| 123 | """ |
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| 124 | return self.perspective |
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| 125 | |
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| 126 | |
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| 127 | def on_perspective(self, event): |
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| 128 | """ |
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| 129 | Call back function for the perspective menu item. |
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| 130 | We notify the parent window that the perspective |
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| 131 | has changed. |
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| 132 | """ |
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| 133 | self.parent.set_perspective(self.perspective) |
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| 134 | |
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| 135 | |
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| 136 | def post_init(self): |
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| 137 | """ |
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| 138 | Post initialization call back to close the loose ends |
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| 139 | [Somehow openGL needs this call] |
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| 140 | """ |
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| 141 | self.parent.set_perspective(self.perspective) |
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| 142 | |
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| 143 | |
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| 144 | def _onSelect(self,event): |
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| 145 | """ |
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| 146 | when Select data to fit a new page is created .Its reference is |
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| 147 | added to self.page_finder |
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| 148 | """ |
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| 149 | self.panel = event.GetEventObject() |
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| 150 | for item in self.panel.graph.plottables: |
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| 151 | if item.name == self.panel.graph.selected_plottable: |
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| 152 | try: |
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| 153 | name = item.group_id # item in Data1D |
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| 154 | except: |
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| 155 | name = 'Fit' |
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| 156 | try: |
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| 157 | page = self.fit_panel.add_fit_page(name) |
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| 158 | page.set_data_name(item) |
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| 159 | self.page_finder[page]= FitProblem() |
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| 160 | #creating Data type |
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| 161 | data1= Data(sans_data=item) |
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| 162 | datas=PlottableData(data=data1,data1d=item) |
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| 163 | self.page_finder[page].add_data(datas) |
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| 164 | except: |
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| 165 | raise |
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| 166 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: \ |
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| 167 | data already Selected ")) |
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| 168 | |
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| 169 | |
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| 170 | def get_page_finder(self): |
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| 171 | """ @return self.page_finder used also by simfitpage.py""" |
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| 172 | return self.page_finder |
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| 173 | |
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| 174 | |
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| 175 | def set_page_finder(self,modelname,param,values): |
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| 176 | """ |
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| 177 | Used by simfitpage.py to reset a parameter given the string constrainst. |
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| 178 | @param modelname: the name ot the model for with the parameter has to reset |
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| 179 | @param value: can be a string in this case. |
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| 180 | @note: expecting park used for fit. |
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| 181 | """ |
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| 182 | sim_page=self.fit_panel.get_page(0) |
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| 183 | for page, value in self.page_finder.iteritems(): |
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| 184 | if page != sim_page: |
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| 185 | list=value.get_model() |
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| 186 | model=list[0] |
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| 187 | if model.name== modelname: |
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| 188 | value.set_model_param(param,values) |
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| 189 | break |
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| 190 | |
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| 191 | |
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| 192 | |
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| 193 | def split_string(self,item): |
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| 194 | """ |
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| 195 | recieve a word containing "" |
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| 196 | """ |
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| 197 | #print "fitting: split :went here" |
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| 198 | |
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| 199 | if string.find(item,".")!=-1: |
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| 200 | param_names= re.split("\.",item) |
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| 201 | model_name=param_names[0] |
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| 202 | param_name=param_names[1] |
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| 203 | return model_name,param_name |
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| 204 | |
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| 205 | |
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| 206 | def _single_fit_completed(self,result,pars,current_pg,qmin,qmax): |
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| 207 | """ |
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| 208 | |
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| 209 | """ |
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| 210 | try: |
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| 211 | for page, value in self.page_finder.iteritems(): |
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| 212 | if page== current_pg: |
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| 213 | data = value.get_data() |
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| 214 | list = value.get_model() |
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| 215 | model= list[0] |
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| 216 | break |
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| 217 | #print "fitting : result",result,result.pvec,result.cov,result.fitness |
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| 218 | i = 0 |
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| 219 | for name in pars: |
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| 220 | if result.pvec.__class__==numpy.float64: |
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| 221 | model.setParam(name,result.pvec) |
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| 222 | else: |
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| 223 | model.setParam(name,result.pvec[i]) |
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| 224 | #print "fitting: i name out[i]", i,name,float(result.pvec[i]) |
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| 225 | i += 1 |
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| 226 | new_cov=[] |
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| 227 | if result.cov !=None: |
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| 228 | for j in range(len(result.cov)): |
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| 229 | new_cov.append(result.cov[j][j]) |
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| 230 | else: |
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| 231 | new_cov=None |
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| 232 | current_pg.onsetValues(result.fitness, result.pvec,new_cov) |
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| 233 | self.plot_helper(currpage=current_pg,qmin=qmin,qmax=qmax) |
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| 234 | except: |
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| 235 | raise |
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| 236 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 237 | |
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| 238 | |
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| 239 | def _simul_fit_completed(self,result,qmin,qmax): |
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| 240 | """ |
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| 241 | Parameter estimation completed, |
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| 242 | display the results to the user |
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| 243 | @param alpha: estimated best alpha |
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| 244 | @param elapsed: computation time |
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| 245 | """ |
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| 246 | try: |
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| 247 | for page, value in self.page_finder.iteritems(): |
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| 248 | data = value.get_data() |
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| 249 | list = value.get_model() |
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| 250 | model= list[0] |
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| 251 | |
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| 252 | small_out = [] |
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| 253 | small_cov = [] |
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| 254 | i = 0 |
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| 255 | for p in result.parameters: |
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| 256 | print "fitting: fit in park fitting", p.name, p.value,p.stderr |
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| 257 | model_name,param_name = self.split_string(p.name) |
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| 258 | print "fitting: simultfit",model.name,model_name,param_name ,p.name,param_name,p.value |
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| 259 | if model.name == model_name: |
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| 260 | print "fitting: hello",p.name,param_name,p.value |
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| 261 | small_out.append(p.value ) |
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| 262 | small_cov.append(p.stderr) |
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| 263 | model.setParam(param_name,p.value) |
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| 264 | #print "fitting: out of each page",page,small_out,small_cov,data.group_id |
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| 265 | page.onsetValues(result.fitness, small_out,small_cov) |
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| 266 | self.plot_helper(currpage= page,qmin= qmin,qmax= qmax) |
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| 267 | except: |
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| 268 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 269 | |
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| 270 | |
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| 271 | def _completed(self,result,pars,current_pg, elapsed): |
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| 272 | """ |
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| 273 | Method called with the results when the inversion |
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| 274 | is done |
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| 275 | |
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| 276 | @param out: output coefficient for the base functions |
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| 277 | @param cov: covariance matrix |
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| 278 | @param pr: Invertor instance |
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| 279 | @param elapsed: time spent computing |
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| 280 | """ |
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| 281 | |
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| 282 | # Save useful info |
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| 283 | self.elapsed = elapsed |
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| 284 | # Keep a copy of the last result |
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| 285 | self._last_out = result.pvec |
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| 286 | self._last_cov = result.cov |
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| 287 | self._last_chisqr=result.fitness |
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| 288 | #print "fitting: initial parameter ",pars |
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| 289 | #result=self.fitter.fit(qmin,qmax) |
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| 290 | |
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| 291 | #print "fitting : result",result,result.pvec,result.cov,result.fitness |
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| 292 | i = 0 |
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| 293 | for name in pars: |
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| 294 | if result.pvec.__class__==numpy.float64: |
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| 295 | model.model.setParam(name,result.pvec) |
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| 296 | else: |
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| 297 | model.model.setParam(name,result.pvec[i]) |
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| 298 | #print "fitting: i name out[i]", i,name,float(result.pvec[i]) |
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| 299 | i += 1 |
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| 300 | new_cov=[] |
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| 301 | if result.cov !=None: |
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| 302 | for j in range(len(result.cov)): |
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| 303 | new_cov.append(result.cov[j][j]) |
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| 304 | else: |
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| 305 | new_cov=None |
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| 306 | current_pg.onsetValues(result.fitness, result.pvec,new_cov) |
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| 307 | self.plot_helper(currpage=current_pg,qmin=qmin,qmax=qmax) |
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| 308 | |
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| 309 | |
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| 310 | def _on_single_fit(self,id=None,qmin=None,qmax=None): |
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| 311 | """ |
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| 312 | perform fit for the current page and return chisqr,out and cov |
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| 313 | @param engineName: type of fit to be performed |
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| 314 | @param id: unique id corresponding to a fit problem(model, set of data) |
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| 315 | @param model: model to fit |
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| 316 | |
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| 317 | """ |
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| 318 | #set an engine to perform fit |
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| 319 | from sans.fit.Fitting import Fit |
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| 320 | self.fitter= Fit(self._fit_engine) |
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| 321 | #Setting an id to store model and data |
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| 322 | if id==None: |
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| 323 | id=0 |
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| 324 | self.id=id |
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| 325 | current_pg=self.fit_panel.get_current_page() |
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| 326 | for page, value in self.page_finder.iteritems(): |
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| 327 | if page ==current_pg : |
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| 328 | #print "fitting: self.page_finder",self.page_finder |
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| 329 | data = value.get_data() |
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| 330 | list=value.get_model() |
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| 331 | model=list[0] |
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| 332 | |
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| 333 | #Create dictionary of parameters for fitting used |
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| 334 | pars=[] |
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| 335 | templist=[] |
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| 336 | try: |
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| 337 | templist=current_pg.get_param_list() |
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| 338 | except: |
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| 339 | raise |
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| 340 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 341 | return |
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| 342 | #for element in templist: |
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| 343 | # print "fitting: templist",str(element[0].GetLabelText()) |
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| 344 | #print "fitting: model list",model.getParamList() |
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| 345 | for element in templist: |
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| 346 | try: |
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| 347 | pars.append(str(element[0].GetLabelText())) |
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| 348 | except: |
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| 349 | raise |
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| 350 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 351 | return |
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| 352 | #print "fitting: pars",pars |
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| 353 | pars.sort() |
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| 354 | print "fitting: model ",model.__class__.__name__ |
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| 355 | self.fitter.set_model(Model(model),model.name, self.id, pars) |
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| 356 | self.fitter.set_data(data,self.id,qmin,qmax) |
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| 357 | #Do the fit SCIPY |
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| 358 | try: |
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| 359 | result=self.fitter.fit() |
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| 360 | self._single_fit_completed(result,pars,current_pg,qmin,qmax) |
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| 361 | |
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| 362 | except: |
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| 363 | wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value)) |
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| 364 | return |
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| 365 | |
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| 366 | def _on_simul_fit(self, id=None,qmin=None,qmax=None): |
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| 367 | """ |
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| 368 | perform fit for all the pages selected on simpage and return chisqr,out and cov |
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| 369 | @param engineName: type of fit to be performed |
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| 370 | @param id: unique id corresponding to a fit problem(model, set of data) |
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| 371 | in park_integration |
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| 372 | @param model: model to fit |
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| 373 | |
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| 374 | """ |
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| 375 | #print "fitting: probabily breaking on fit call" |
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| 376 | #set an engine to perform fit |
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| 377 | from sans.fit.Fitting import Fit |
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| 378 | self.fitter= Fit(self._fit_engine) |
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| 379 | #Setting an id to store model and data |
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| 380 | if id==None: |
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| 381 | id = 0 |
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| 382 | self.id = id |
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| 383 | for page, value in self.page_finder.iteritems(): |
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| 384 | try: |
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| 385 | #print "fitting: self.page_finder",value |
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| 386 | data = value.get_data() |
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| 387 | #print "fitting: data",data |
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| 388 | list = value.get_model() |
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| 389 | model= list[0] |
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| 390 | if data != None : |
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| 391 | #Create dictionary of parameters for fitting used |
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| 392 | pars = [] |
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| 393 | templist = [] |
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| 394 | try: |
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| 395 | templist = page.get_param_list() |
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| 396 | except: |
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| 397 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 398 | return |
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| 399 | |
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| 400 | for element in templist: |
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| 401 | try: |
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| 402 | name = str(element[0].GetLabelText()) |
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| 403 | pars.append(name) |
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| 404 | except: |
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| 405 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 406 | return |
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| 407 | |
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| 408 | print "fitting: pars",pars,model.name |
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| 409 | #print "fitter",self.fitter |
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| 410 | #print "fitting: model name",model.name |
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| 411 | self.fitter.set_model(Model(model),model.name, self.id, pars) |
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| 412 | self.fitter.set_data(data,self.id,qmin,qmax) |
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| 413 | else: |
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| 414 | raise ValueError," Fitting: cannot set model with empty parameter" |
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| 415 | self.id += 1 |
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| 416 | except: |
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| 417 | raise |
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| 418 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 419 | return |
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| 420 | #Do the fit SCIPY |
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| 421 | try: |
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| 422 | result=self.fitter.fit() |
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| 423 | self._simul_fit_completed(result,qmin,qmax) |
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| 424 | except: |
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| 425 | raise |
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| 426 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value)) |
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| 427 | return |
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| 428 | |
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| 429 | def _on_change_engine(self, engine='park'): |
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| 430 | """ |
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| 431 | Allow to select the type of engine to perform fit |
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| 432 | @param engine: the key work of the engine |
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| 433 | """ |
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| 434 | self._fit_engine = engine |
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| 435 | |
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| 436 | |
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| 437 | def _on_model_panel(self, evt): |
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| 438 | """ |
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| 439 | react to model selection on any combo box or model menu.plot the model |
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| 440 | """ |
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| 441 | model = evt.model |
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| 442 | name = evt.name |
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| 443 | sim_page=self.fit_panel.get_page(0) |
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| 444 | current_pg = self.fit_panel.get_current_page() |
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| 445 | if current_pg != sim_page: |
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| 446 | current_pg.set_model_name(name) |
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| 447 | current_pg.set_panel(model) |
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| 448 | try: |
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| 449 | data=self.page_finder[current_pg].get_data() |
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| 450 | M_name="M"+str(self.index_model)+"= "+name+"("+data.group_id+")" |
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| 451 | except: |
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| 452 | raise |
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| 453 | M_name="M"+str(self.index_model)+"= "+name |
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| 454 | model.name="M"+str(self.index_model) |
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| 455 | self.index_model += 1 |
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| 456 | self.page_finder[current_pg].set_theory("Fitness") |
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| 457 | #print "on model",model.name |
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| 458 | self.page_finder[current_pg].set_model(model,M_name) |
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| 459 | self.plot_helper(currpage= current_pg,qmin= None,qmax= None) |
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| 460 | sim_page.add_model(self.page_finder) |
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| 461 | |
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| 462 | |
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| 463 | def redraw_model(self,qmin= None,qmax= None): |
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| 464 | """ |
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| 465 | Draw a theory according to model changes or data range. |
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| 466 | @param qmin: the minimum value plotted for theory |
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| 467 | @param qmax: the maximum value plotted for theory |
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| 468 | """ |
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| 469 | current_pg=self.fit_panel.get_current_page() |
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| 470 | for page, value in self.page_finder.iteritems(): |
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| 471 | if page ==current_pg : |
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| 472 | break |
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| 473 | self.plot_helper(currpage=page,qmin= qmin,qmax= qmax) |
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| 474 | |
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| 475 | def plot_helper(self,currpage,qmin=None,qmax=None): |
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| 476 | """ |
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| 477 | Plot a theory given a model and data |
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| 478 | @param model: the model from where the theory is derived |
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| 479 | @param currpage: page in a dictionary referring to some data |
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| 480 | """ |
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| 481 | #print "fitting: plot helper" |
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| 482 | if self.fit_panel.get_page_count() >1: |
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| 483 | for page in self.page_finder.iterkeys(): |
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| 484 | if page==currpage : |
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| 485 | break |
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| 486 | |
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| 487 | data=self.page_finder[page].get_data() |
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| 488 | list=self.page_finder[page].get_model() |
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| 489 | model=list[0] |
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| 490 | if data!=None: |
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| 491 | theory = Theory1D(x=[], y=[]) |
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| 492 | theory.name = self.page_finder[page].get_theory() |
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| 493 | theory.group_id = data.group_id |
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| 494 | |
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| 495 | x_name, x_units = data.get_xaxis() |
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| 496 | y_name, y_units = data.get_yaxis() |
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| 497 | theory.xaxis(x_name, x_units) |
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| 498 | theory.yaxis(y_name, y_units) |
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| 499 | |
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| 500 | if qmin == None : |
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| 501 | qmin = min(data.x) |
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| 502 | if qmax == None : |
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| 503 | qmax = max(data.x) |
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| 504 | try: |
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| 505 | tempx = qmin |
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| 506 | tempy = model.run(qmin) |
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| 507 | theory.x.append(tempx) |
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| 508 | theory.y.append(tempy) |
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| 509 | except : |
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| 510 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
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| 511 | skipping point x %g %s" %(qmin, sys.exc_value))) |
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| 512 | |
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| 513 | for i in range(len(data.x)): |
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| 514 | try: |
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| 515 | if data.x[i]> qmin and data.x[i]< qmax: |
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| 516 | tempx = data.x[i] |
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| 517 | tempy = model.run(tempx) |
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| 518 | |
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| 519 | theory.x.append(tempx) |
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| 520 | theory.y.append(tempy) |
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| 521 | except: |
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| 522 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
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| 523 | skipping point x %g %s" %(data.x[i], sys.exc_value))) |
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| 524 | try: |
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| 525 | tempx = qmax |
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| 526 | tempy = model.run(qmax) |
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| 527 | theory.x.append(tempx) |
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| 528 | theory.y.append(tempy) |
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| 529 | except: |
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| 530 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
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| 531 | skipping point x %g %s" %(qmax, sys.exc_value))) |
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| 532 | try: |
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| 533 | from sans.guicomm.events import NewPlotEvent |
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| 534 | #print"fitting: theory",theory |
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| 535 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, title="Analytical model")) |
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| 536 | except: |
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| 537 | raise |
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| 538 | print "SimView.complete1D: could not import sans.guicomm.events" |
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| 539 | |
|---|
| 540 | |
|---|
| 541 | def _on_model_menu(self, evt): |
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| 542 | """ |
|---|
| 543 | Plot a theory from a model selected from the menu |
|---|
| 544 | """ |
|---|
| 545 | print "_on_model_menu done" |
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| 546 | #name = evt.model.__class__.__name__ |
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| 547 | name="Model View" |
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| 548 | model=evt.modelinfo.model() |
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| 549 | description=evt.modelinfo.description |
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| 550 | self.fit_panel.add_model_page(model,description,name) |
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| 551 | self.draw_model(model) |
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| 552 | |
|---|
| 553 | def draw_model(self,model): |
|---|
| 554 | x = pylab.arange(0.001, 0.1, 0.001) |
|---|
| 555 | xlen = len(x) |
|---|
| 556 | dy = numpy.zeros(xlen) |
|---|
| 557 | y = numpy.zeros(xlen) |
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| 558 | |
|---|
| 559 | for i in range(xlen): |
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| 560 | y[i] = model.run(x[i]) |
|---|
| 561 | dy[i] = math.sqrt(math.fabs(y[i])) |
|---|
| 562 | try: |
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| 563 | |
|---|
| 564 | new_plot = Theory1D(x, y) |
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| 565 | #new_plot.name = evt.model.__class__.__name__ |
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| 566 | new_plot.name ="Fitness" |
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| 567 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
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| 568 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
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| 569 | |
|---|
| 570 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model")) |
|---|
| 571 | except: |
|---|
| 572 | print "SimView.complete1D: could not import sans.guicomm.events" |
|---|
| 573 | |
|---|
| 574 | if __name__ == "__main__": |
|---|
| 575 | i = Plugin() |
|---|
| 576 | |
|---|
| 577 | |
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| 578 | |
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| 579 | |
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