[c77d859] | 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 fitpage1D |
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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 | |
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| 25 | class Plugin: |
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| 26 | """ |
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| 27 | Fitting plugin is used to perform fit |
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| 28 | """ |
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| 29 | def __init__(self): |
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| 30 | ## Plug-in name |
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| 31 | self.sub_menu = "Fitting" |
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| 32 | |
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| 33 | ## Reference to the parent window |
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| 34 | self.parent = None |
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| 35 | #Provide list of models existing in the application |
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| 36 | self.menu_mng = models.ModelManager() |
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| 37 | ## List of panels for the simulation perspective (names) |
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| 38 | self.perspective = [] |
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| 39 | #list of panel to send to guiframe |
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| 40 | self.mypanels=[] |
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| 41 | # reference to the current running thread |
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| 42 | self.calc_thread = None |
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| 43 | # Start with a good default |
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| 44 | self.elapsed = 0.022 |
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| 45 | # the type of optimizer selected, park or scipy |
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| 46 | self.fitter = None |
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| 47 | #Flag to let the plug-in know that it is running stand alone |
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| 48 | self.standalone=True |
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| 49 | ## Fit engine |
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| 50 | self._fit_engine = 'scipy' |
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| 51 | #List of selected data |
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| 52 | self.selected_data_list=[] |
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| 53 | # Log startup |
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| 54 | logging.info("Fitting plug-in started") |
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| 55 | # model 2D view |
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| 56 | self.model2D_id=None |
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| 57 | #keep reference of the simultaneous fit page |
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| 58 | self.sim_page=None |
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| 59 | #dictionary containing data name and error on dy of that data |
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| 60 | self.err_dy={} |
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| 61 | |
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| 62 | def _on_data_error(self, event): |
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| 63 | """ |
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| 64 | receives and event from plotting plu-gins to store the data name and |
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| 65 | their errors of y coordinates for 1Data hide and show error |
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| 66 | """ |
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| 67 | self.err_dy= event.err_dy |
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| 68 | |
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| 69 | def populate_menu(self, id, owner): |
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| 70 | """ |
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| 71 | Create a menu for the Fitting plug-in |
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| 72 | @param id: id to create a menu |
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| 73 | @param owner: owner of menu |
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| 74 | @ return : list of information to populate the main menu |
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| 75 | """ |
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| 76 | #Menu for fitting |
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| 77 | self.menu1 = wx.Menu() |
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| 78 | id1 = wx.NewId() |
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| 79 | self.menu1.Append(id1, '&Simultaneous') |
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| 80 | wx.EVT_MENU(owner, id1, self.on_add_sim_page) |
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| 81 | #Set park engine |
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| 82 | id3 = wx.NewId() |
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| 83 | self.menu1.AppendCheckItem(id3, "park") |
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| 84 | wx.EVT_MENU(owner, id3, self._onset_engine) |
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| 85 | |
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| 86 | #menu for model |
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| 87 | menu2 = wx.Menu() |
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| 88 | |
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| 89 | self.menu_mng.populate_menu(menu2, owner) |
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| 90 | id2 = wx.NewId() |
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| 91 | owner.Bind(models.EVT_MODEL,self._on_model_menu) |
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| 92 | |
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| 93 | self.fit_panel.set_owner(owner) |
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| 94 | self.fit_panel.set_model_list(self.menu_mng.get_model_list()) |
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| 95 | owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel) |
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| 96 | |
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| 97 | #create menubar items |
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| 98 | return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")] |
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| 99 | |
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| 100 | def on_add_sim_page(self, event): |
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| 101 | """ |
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| 102 | """ |
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| 103 | self.sim_page= self.fit_panel.add_sim_page() |
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| 104 | self.sim_page.add_model(self.page_finder) |
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| 105 | |
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| 106 | |
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| 107 | def help(self, evt): |
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| 108 | """ |
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| 109 | Show a general help dialog. |
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| 110 | TODO: replace the text with a nice image |
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| 111 | """ |
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| 112 | #from helpDialog import HelpWindow |
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| 113 | #dialog = HelpWindow(None, -1, 'HelpWindow') |
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| 114 | #if dialog.ShowModal() == wx.ID_OK: |
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| 115 | # pass |
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| 116 | #dialog.Destroy() |
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| 117 | from helpPanel import HelpWindow |
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| 118 | frame = HelpWindow(None, -1, 'HelpWindow') |
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| 119 | frame.Show(True) |
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| 120 | |
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| 121 | |
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| 122 | def get_context_menu(self, graph=None): |
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| 123 | """ |
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| 124 | Get the context menu items available for P(r) |
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| 125 | @param graph: the Graph object to which we attach the context menu |
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| 126 | @return: a list of menu items with call-back function |
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| 127 | """ |
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| 128 | self.graph=graph |
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| 129 | for item in graph.plottables: |
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| 130 | if item.__class__.__name__ is "Data2D": |
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| 131 | return [["Select data for Fitting",\ |
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| 132 | "Dialog with fitting parameters ", self._onSelect]] |
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| 133 | else: |
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| 134 | #if item.name==graph.selected_plottable and\ |
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| 135 | # item.__class__.__name__ is "Data1D": |
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| 136 | if item.name==graph.selected_plottable : |
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| 137 | return [["Select data for Fitting", \ |
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| 138 | "Dialog with fitting parameters ", self._onSelect]] |
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| 139 | return [] |
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| 140 | |
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| 141 | |
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| 142 | def get_panels(self, parent): |
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| 143 | """ |
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| 144 | Create and return a list of panel objects |
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| 145 | """ |
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| 146 | self.parent = parent |
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| 147 | # Creation of the fit panel |
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| 148 | self.fit_panel = FitPanel(self.parent, -1) |
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| 149 | #Set the manager forthe main panel |
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| 150 | self.fit_panel.set_manager(self) |
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| 151 | # List of windows used for the perspective |
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| 152 | self.perspective = [] |
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| 153 | self.perspective.append(self.fit_panel.window_name) |
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| 154 | # take care of saving data, model and page associated with each other |
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| 155 | self.page_finder = {} |
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| 156 | #index number to create random model name |
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| 157 | self.index_model = 0 |
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| 158 | self.index_theory= 0 |
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| 159 | self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event) |
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| 160 | self.parent.Bind( ERR_DATA, self._on_data_error) |
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| 161 | |
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| 162 | #create the fitting panel |
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| 163 | #return [self.fit_panel] |
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| 164 | |
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| 165 | self.mypanels.append(self.fit_panel) |
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| 166 | return self.mypanels |
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| 167 | |
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| 168 | |
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| 169 | def _on_slicer_event(self, event): |
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| 170 | """ |
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| 171 | """ |
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| 172 | #print "fitting:slicer event ", event.panel |
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| 173 | if event.panel!=None: |
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| 174 | new_panel = event.panel |
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| 175 | # Set group ID if available |
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| 176 | event_id = self.parent.popup_panel(new_panel) |
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| 177 | self.menu1.Append(event_id, new_panel.window_caption, |
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| 178 | "Show %s plot panel" % new_panel.window_caption) |
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| 179 | # Set UID to allow us to reference the panel later |
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| 180 | new_panel.uid = event_id |
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| 181 | new_panel |
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| 182 | self.mypanels.append(new_panel) |
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| 183 | return |
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| 184 | |
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| 185 | |
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| 186 | def _on_show_panel(self, event): |
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| 187 | print "_on_show_panel: fitting" |
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| 188 | |
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| 189 | |
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| 190 | def get_perspective(self): |
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| 191 | """ |
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| 192 | Get the list of panel names for this perspective |
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| 193 | """ |
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| 194 | return self.perspective |
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| 195 | |
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| 196 | |
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| 197 | def on_perspective(self, event): |
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| 198 | """ |
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| 199 | Call back function for the perspective menu item. |
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| 200 | We notify the parent window that the perspective |
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| 201 | has changed. |
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| 202 | """ |
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| 203 | self.parent.set_perspective(self.perspective) |
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| 204 | |
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| 205 | |
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| 206 | def post_init(self): |
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| 207 | """ |
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| 208 | Post initialization call back to close the loose ends |
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| 209 | [Somehow openGL needs this call] |
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| 210 | """ |
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| 211 | self.parent.set_perspective(self.perspective) |
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| 212 | |
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| 213 | |
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| 214 | def copy_data(self, item, dy): |
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| 215 | """ |
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| 216 | """ |
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| 217 | detector=None |
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| 218 | source=None |
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| 219 | dxl=None |
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| 220 | dxw=None |
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| 221 | if hasattr(item, "dxl"): |
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| 222 | dxl = item.dxl |
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| 223 | if hasattr(item, "dxw"): |
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| 224 | dxw = item.dxw |
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| 225 | if hasattr(item, "detector"): |
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| 226 | detector =item.detector |
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| 227 | if hasattr(item, "source"): |
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| 228 | source =item.source |
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| 229 | from sans.guiframe import dataFitting |
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| 230 | data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw) |
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| 231 | data.name=item.name |
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| 232 | data.detector=detector |
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| 233 | data.source= source |
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| 234 | return data |
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| 235 | |
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| 236 | |
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| 237 | def _onSelect(self,event): |
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| 238 | """ |
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| 239 | when Select data to fit a new page is created .Its reference is |
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| 240 | added to self.page_finder |
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| 241 | """ |
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| 242 | self.panel = event.GetEventObject() |
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| 243 | for item in self.panel.graph.plottables: |
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| 244 | if item.name == self.panel.graph.selected_plottable: |
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| 245 | if len(self.err_dy)>0: |
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| 246 | if item.name in self.err_dy.iterkeys(): |
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| 247 | dy= self.err_dy[item.name] |
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| 248 | data= self.copy_data(item, dy) |
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| 249 | else: |
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| 250 | data= item |
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| 251 | else: |
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| 252 | if item.dy==None: |
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| 253 | dy= numpy.zeros(len(item.y)) |
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| 254 | dy[dy==0]=1 |
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| 255 | data= self.copy_data(item, dy) |
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| 256 | else: |
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| 257 | data= item |
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| 258 | else: |
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| 259 | data= item |
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| 260 | |
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| 261 | |
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| 262 | if item.name == self.panel.graph.selected_plottable or\ |
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| 263 | item.__class__.__name__ is "Data2D": |
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| 264 | #find a name for the page created for notebook |
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| 265 | #print "fitting", self.panel |
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| 266 | try: |
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| 267 | |
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| 268 | #page = self.fit_panel.add_fit_page(item) |
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| 269 | page = self.fit_panel.add_fit_page(data) |
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| 270 | #page, model_name = self.fit_panel.add_fit_page(item) |
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| 271 | # add data associated to the page created |
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| 272 | |
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| 273 | if page !=None: |
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| 274 | #create a fitproblem storing all link to data,model,page creation |
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| 275 | self.page_finder[page]= FitProblem() |
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| 276 | #self.page_finder[page].save_model_name(model_name) |
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| 277 | self.page_finder[page].add_plotted_data(item) |
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| 278 | self.page_finder[page].add_fit_data(data) |
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| 279 | |
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| 280 | |
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| 281 | wx.PostEvent(self.parent, StatusEvent(status="Page Created")) |
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| 282 | else: |
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| 283 | wx.PostEvent(self.parent, StatusEvent(status="Page was already Created")) |
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| 284 | except: |
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| 285 | #raise |
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| 286 | wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\ |
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| 287 | %sys.exc_value)) |
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| 288 | return |
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| 289 | |
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| 290 | |
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| 291 | def schedule_for_fit(self,value=0,fitproblem =None): |
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| 292 | """ |
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| 293 | |
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| 294 | """ |
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| 295 | if fitproblem !=None: |
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| 296 | fitproblem.schedule_tofit(value) |
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| 297 | else: |
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| 298 | current_pg=self.fit_panel.get_current_page() |
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| 299 | for page, val in self.page_finder.iteritems(): |
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| 300 | if page ==current_pg : |
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| 301 | val.schedule_tofit(value) |
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| 302 | break |
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| 303 | |
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| 304 | |
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| 305 | def get_page_finder(self): |
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| 306 | """ @return self.page_finder used also by simfitpage.py""" |
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| 307 | return self.page_finder |
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| 308 | |
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| 309 | |
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| 310 | def set_page_finder(self,modelname,names,values): |
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| 311 | """ |
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| 312 | Used by simfitpage.py to reset a parameter given the string constrainst. |
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| 313 | @param modelname: the name ot the model for with the parameter has to reset |
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| 314 | @param value: can be a string in this case. |
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| 315 | @param names: the paramter name |
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| 316 | @note: expecting park used for fit. |
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| 317 | """ |
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| 318 | #sim_page=self.fit_panel.GetPage(1) |
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| 319 | sim_page= self.sim_page |
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| 320 | for page, value in self.page_finder.iteritems(): |
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| 321 | if page != sim_page: |
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| 322 | list=value.get_model() |
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| 323 | model=list[0] |
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| 324 | #print "fitting",model.name,modelname, values |
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| 325 | if model.name== modelname: |
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| 326 | value.set_model_param(names,values) |
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| 327 | break |
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| 328 | |
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| 329 | |
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| 330 | |
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| 331 | def split_string(self,item): |
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| 332 | """ |
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| 333 | receive a word containing dot and split it. used to split parameterset |
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| 334 | name into model name and parameter name example: |
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| 335 | paramaterset (item) = M1.A |
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| 336 | @return model_name =M1 , parameter name =A |
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| 337 | """ |
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| 338 | if string.find(item,".")!=-1: |
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| 339 | param_names= re.split("\.",item) |
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| 340 | model_name=param_names[0] |
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| 341 | param_name=param_names[1] |
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| 342 | return model_name,param_name |
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| 343 | |
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| 344 | |
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| 345 | def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None, |
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| 346 | ymin=None, ymax=None, xmin=None, xmax=None): |
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| 347 | """ |
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| 348 | Display fit result on one page of the notebook. |
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| 349 | @param result: result of fit |
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| 350 | @param pars: list of names of parameters fitted |
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| 351 | @param current_pg: the page where information will be displayed |
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| 352 | @param qmin: the minimum value of x to replot the model |
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| 353 | @param qmax: the maximum value of x to replot model |
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| 354 | |
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| 355 | """ |
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| 356 | |
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| 357 | #print "single fit ", pars,result.pvec,result.stderr,result.fitness |
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| 358 | wx.PostEvent(self.parent, StatusEvent(status="Single fit \ |
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| 359 | complete " , type="stop")) |
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| 360 | try: |
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| 361 | for page, value in self.page_finder.iteritems(): |
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| 362 | if page==cpage : |
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| 363 | #fitdata = value.get_data() |
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| 364 | list = value.get_model() |
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| 365 | model= list[0] |
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| 366 | break |
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| 367 | i = 0 |
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| 368 | |
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| 369 | for name in pars: |
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| 370 | if result.pvec.__class__==numpy.float64: |
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| 371 | model.setParam(name,result.pvec) |
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| 372 | else: |
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| 373 | #print "fitting result : chisqr",result.fitness |
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| 374 | #print "fitting result : pvec",result.pvec |
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| 375 | #print "fitting result : stderr",result.stderr |
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| 376 | model.setParam(name,result.pvec[i]) |
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| 377 | #print "fitting: single fit", name, result.pvec[i] |
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| 378 | i += 1 |
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| 379 | |
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| 380 | |
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| 381 | cpage.onsetValues(result.fitness, result.pvec,result.stderr) |
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| 382 | #title="Fitted model 2D " |
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| 383 | self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax, |
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| 384 | ymin=ymin, ymax=ymax, |
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| 385 | xmin=xmin, xmax=xmax,title=None) |
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| 386 | except: |
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| 387 | #raise |
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| 388 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 389 | return |
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| 390 | |
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| 391 | |
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| 392 | def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, |
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| 393 | xmin=None, xmax=None, ymin=None, ymax=None): |
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| 394 | """ |
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| 395 | Parameter estimation completed, |
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| 396 | display the results to the user |
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| 397 | @param alpha: estimated best alpha |
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| 398 | @param elapsed: computation time |
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| 399 | """ |
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| 400 | if cpage!=None: |
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| 401 | self._single_fit_completed(result=result,pars=pars,cpage=cpage, |
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| 402 | qmin=qmin,qmax=qmax, |
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| 403 | ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax) |
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| 404 | return |
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| 405 | else: |
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| 406 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \ |
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| 407 | complete ", type="stop")) |
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| 408 | #print "result",cpage,str(result),result.parameters,result.fitness,result.stderr |
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| 409 | |
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| 410 | try: |
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| 411 | for page, value in self.page_finder.iteritems(): |
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| 412 | if value.get_scheduled()==1: |
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| 413 | #fitdata = value.get_data() |
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| 414 | list = value.get_model() |
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| 415 | model= list[0] |
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| 416 | |
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| 417 | small_out = [] |
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| 418 | small_cov = [] |
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| 419 | i = 0 |
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| 420 | #Separate result in to data corresponding to each page |
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| 421 | for p in result.parameters: |
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| 422 | model_name,param_name = self.split_string(p.name) |
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| 423 | if model.name == model_name: |
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| 424 | small_out.append(p.value ) |
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| 425 | if p.stderr==None: |
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| 426 | p.stderr=numpy.nan |
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| 427 | small_cov.append(p.stderr) |
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| 428 | model.setParam(param_name,p.value) |
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| 429 | # Display result on each page |
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| 430 | #print "mmmm",p.value,p.stderr |
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| 431 | page.onsetValues(result.fitness, small_out,small_cov) |
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| 432 | #print "out,err",small_out,small_cov |
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| 433 | #Replot model |
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| 434 | self.plot_helper(currpage= page,qmin= qmin,qmax= qmax, |
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| 435 | xmin=xmin, xmax=xmax, |
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| 436 | ymin=ymin, ymax=ymax) |
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| 437 | except: |
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| 438 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value)) |
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| 439 | return |
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| 440 | |
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| 441 | |
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| 442 | def stop_fit(self): |
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| 443 | """ |
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| 444 | """ |
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| 445 | if self.calc_thread != None and self.calc_thread.isrunning(): |
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| 446 | #self.calc_thread.interrupt() |
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| 447 | self.calc_thread.stop() |
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| 448 | wx.PostEvent(self.parent, StatusEvent(status="Fitting \ |
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| 449 | is cancelled" , type="stop")) |
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| 450 | |
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| 451 | |
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| 452 | def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None): |
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| 453 | """ |
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| 454 | perform fit for the current page and return chisqr,out and cov |
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| 455 | @param engineName: type of fit to be performed |
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| 456 | @param id: unique id corresponding to a fit problem(model, set of data) |
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| 457 | @param model: model to fit |
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| 458 | |
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| 459 | """ |
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| 460 | #print "in single fitting" |
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| 461 | #set an engine to perform fit |
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| 462 | from sans.fit.Fitting import Fit |
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| 463 | self.fitter= Fit(self._fit_engine) |
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| 464 | #Setting an id to store model and data in fit engine |
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| 465 | self.fit_id= 0 |
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| 466 | if id!=None: |
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| 467 | self.fit_id= id |
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| 468 | |
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| 469 | page_fitted=None |
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| 470 | fit_problem=None |
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| 471 | #Get information (model , data) related to the page on |
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| 472 | #with the fit will be perform |
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| 473 | current_pg=self.fit_panel.get_current_page() |
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| 474 | #simul_pg=self.fit_panel.GetPage(1 ) |
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| 475 | simul_pg=self.sim_page |
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| 476 | pars=[] |
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| 477 | #for page, value in self.page_finder.iteritems(): |
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| 478 | if current_pg!= simul_pg: |
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| 479 | # if value.get_scheduled() ==1 : |
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| 480 | value = self.page_finder[current_pg] |
---|
| 481 | metadata = value.get_fit_data() |
---|
| 482 | list = value.get_model() |
---|
| 483 | model = list[0] |
---|
| 484 | smearer= value.get_smearer() |
---|
| 485 | |
---|
| 486 | |
---|
| 487 | #Create list of parameters for fitting used |
---|
| 488 | |
---|
| 489 | templist=[] |
---|
| 490 | try: |
---|
| 491 | #templist=current_pg.get_param_list() |
---|
| 492 | templist=current_pg.get_param_list() |
---|
| 493 | for element in templist: |
---|
| 494 | pars.append(str(element[0].GetLabelText())) |
---|
| 495 | pars.sort() |
---|
| 496 | #Do the single fit |
---|
| 497 | self.fitter.set_model(Model(model), self.fit_id, pars) |
---|
| 498 | if self._fit_engine=="scipy": |
---|
| 499 | wx.PostEvent(self.parent, StatusEvent(status="Parameters range will\ |
---|
| 500 | be ignored for %s fitting engine"%str(self._fit_engine))) |
---|
| 501 | #print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax |
---|
| 502 | dy=[] |
---|
| 503 | x=[] |
---|
| 504 | y=[] |
---|
| 505 | if metadata.__class__ in ["Data1D","Theory1D"]: |
---|
| 506 | for i in range(len(metadata.dy)): |
---|
| 507 | if metadata.dy[i] !=0: |
---|
| 508 | dy.append(metadata.dy[i]) |
---|
| 509 | x.append(metadata.x[i]) |
---|
| 510 | y.append(metadata.y[i]) |
---|
| 511 | if len(dy)>0: |
---|
| 512 | metadata.dy=numpy.zeros(len(dy)) |
---|
| 513 | metadata.dy=dy |
---|
| 514 | metadata.y=numpy.zeros(len(y)) |
---|
| 515 | metadata.y=y |
---|
| 516 | metadata.x=numpy.zeros(len(x)) |
---|
| 517 | metadata.x=x |
---|
| 518 | self.fitter.set_data(data=metadata,Uid=self.fit_id, |
---|
| 519 | smearer=smearer,qmin= qmin,qmax=qmax, |
---|
| 520 | ymin=ymin,ymax=ymax) |
---|
| 521 | self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled()) |
---|
| 522 | page_fitted=current_pg |
---|
| 523 | #self.fit_id+=1 |
---|
| 524 | #self.schedule_for_fit( 0,value) |
---|
| 525 | except: |
---|
| 526 | wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value)) |
---|
| 527 | return |
---|
| 528 | # make sure to keep an alphabetic order |
---|
| 529 | #of parameter names in the list |
---|
| 530 | try: |
---|
| 531 | # If a thread is already started, stop it |
---|
| 532 | if self.calc_thread != None and self.calc_thread.isrunning(): |
---|
| 533 | self.calc_thread.stop() |
---|
| 534 | |
---|
| 535 | self.calc_thread =FitThread(parent =self.parent, |
---|
| 536 | fn= self.fitter, |
---|
| 537 | pars= pars, |
---|
| 538 | cpage= page_fitted, |
---|
| 539 | qmin=qmin, |
---|
| 540 | qmax=qmax, |
---|
| 541 | |
---|
| 542 | completefn=self._single_fit_completed, |
---|
| 543 | updatefn=None) |
---|
| 544 | self.calc_thread.queue() |
---|
| 545 | self.calc_thread.ready(2.5) |
---|
| 546 | |
---|
| 547 | except: |
---|
| 548 | wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value)) |
---|
| 549 | return |
---|
| 550 | |
---|
| 551 | def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None): |
---|
| 552 | """ |
---|
| 553 | perform fit for all the pages selected on simpage and return chisqr,out and cov |
---|
| 554 | @param engineName: type of fit to be performed |
---|
| 555 | @param id: unique id corresponding to a fit problem(model, set of data) |
---|
| 556 | in park_integration |
---|
| 557 | @param model: model to fit |
---|
| 558 | |
---|
| 559 | """ |
---|
| 560 | #set an engine to perform fit |
---|
| 561 | from sans.fit.Fitting import Fit |
---|
| 562 | self.fitter= Fit(self._fit_engine) |
---|
| 563 | self.fit_id= 0 |
---|
| 564 | #Setting an id to store model and data |
---|
| 565 | if id!=None: |
---|
| 566 | self.fit_id= id |
---|
| 567 | |
---|
| 568 | |
---|
| 569 | for page, value in self.page_finder.iteritems(): |
---|
| 570 | try: |
---|
| 571 | if value.get_scheduled()==1: |
---|
| 572 | metadata = value.get_fit_data() |
---|
| 573 | list = value.get_model() |
---|
| 574 | model= list[0] |
---|
| 575 | #Create dictionary of parameters for fitting used |
---|
| 576 | cpage= page |
---|
| 577 | print "" |
---|
| 578 | pars = [] |
---|
| 579 | templist = [] |
---|
| 580 | templist = page.get_param_list() |
---|
| 581 | for element in templist: |
---|
| 582 | try: |
---|
| 583 | name = str(element[0].GetLabelText()) |
---|
| 584 | pars.append(name) |
---|
| 585 | except: |
---|
| 586 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value)) |
---|
| 587 | return |
---|
| 588 | # need to check this print "new model " |
---|
| 589 | |
---|
| 590 | new_model=Model(model) |
---|
| 591 | param=value.get_model_param() |
---|
| 592 | |
---|
| 593 | if len(param)>0: |
---|
| 594 | for item in param: |
---|
| 595 | param_value = item[1] |
---|
| 596 | param_name = item[0] |
---|
| 597 | |
---|
| 598 | new_model.parameterset[ param_name].set( param_value ) |
---|
| 599 | |
---|
| 600 | self.fitter.set_model(new_model, self.fit_id, pars) |
---|
| 601 | #print "sim-->model",metadata,model,self.fit_id, pars |
---|
| 602 | dy=[] |
---|
| 603 | x=[] |
---|
| 604 | y=[] |
---|
| 605 | if metadata.__class__ in ["Data1D","Theory1D"]: |
---|
| 606 | for i in range(len(metadata.dy)): |
---|
| 607 | if metadata.dy[i] !=0: |
---|
| 608 | dy.append(metadata.dy[i]) |
---|
| 609 | x.append(metadata.x[i]) |
---|
| 610 | y.append(metadata.y[i]) |
---|
| 611 | if len(dy)>0: |
---|
| 612 | metadata.dy=numpy.zeros(len(dy)) |
---|
| 613 | metadata.dy=dy |
---|
| 614 | metadata.y=numpy.zeros(len(y)) |
---|
| 615 | metadata.y=y |
---|
| 616 | metadata.x=numpy.zeros(len(x)) |
---|
| 617 | metadata.x=x |
---|
| 618 | self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax) |
---|
| 619 | #print "sim---->value of problem",value.get_scheduled() |
---|
| 620 | self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled()) |
---|
| 621 | self.fit_id += 1 |
---|
| 622 | value.clear_model_param() |
---|
| 623 | #self.schedule_for_fit( 0,value) |
---|
| 624 | except: |
---|
| 625 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value)) |
---|
| 626 | return |
---|
| 627 | #Do the simultaneous fit |
---|
| 628 | try: |
---|
| 629 | # If a thread is already started, stop it |
---|
| 630 | if self.calc_thread != None and self.calc_thread.isrunning(): |
---|
| 631 | self.calc_thread.stop() |
---|
| 632 | if self.fit_id==1: |
---|
| 633 | self.calc_thread =FitThread(parent =self.parent, |
---|
| 634 | fn= self.fitter, |
---|
| 635 | qmin=qmin, |
---|
| 636 | qmax=qmax, |
---|
| 637 | ymin= ymin, |
---|
| 638 | ymax= ymax, |
---|
| 639 | cpage=cpage, |
---|
| 640 | pars= pars, |
---|
| 641 | completefn= self._simul_fit_completed, |
---|
| 642 | updatefn=None) |
---|
| 643 | |
---|
| 644 | else: |
---|
| 645 | self.calc_thread =FitThread(parent =self.parent, |
---|
| 646 | fn= self.fitter, |
---|
| 647 | qmin=qmin, |
---|
| 648 | qmax=qmax, |
---|
| 649 | ymin= ymin, |
---|
| 650 | ymax= ymax, |
---|
| 651 | completefn= self._simul_fit_completed, |
---|
| 652 | updatefn=None) |
---|
| 653 | self.calc_thread.queue() |
---|
| 654 | self.calc_thread.ready(2.5) |
---|
| 655 | |
---|
| 656 | except: |
---|
| 657 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value)) |
---|
| 658 | return |
---|
| 659 | |
---|
| 660 | |
---|
| 661 | def _onset_engine(self,event): |
---|
| 662 | """ |
---|
| 663 | set engine to scipy |
---|
| 664 | """ |
---|
| 665 | if self._fit_engine== 'park': |
---|
| 666 | self._on_change_engine('scipy') |
---|
| 667 | else: |
---|
| 668 | self._on_change_engine('park') |
---|
| 669 | wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine)) |
---|
| 670 | |
---|
| 671 | |
---|
| 672 | def _on_change_engine(self, engine='park'): |
---|
| 673 | """ |
---|
| 674 | Allow to select the type of engine to perform fit |
---|
| 675 | @param engine: the key work of the engine |
---|
| 676 | """ |
---|
| 677 | self._fit_engine = engine |
---|
| 678 | |
---|
| 679 | |
---|
| 680 | def _on_model_panel(self, evt): |
---|
| 681 | """ |
---|
| 682 | react to model selection on any combo box or model menu.plot the model |
---|
| 683 | """ |
---|
| 684 | |
---|
| 685 | model = evt.model |
---|
| 686 | name = evt.name |
---|
| 687 | |
---|
| 688 | #print "name fitting", name |
---|
| 689 | #sim_page=self.fit_panel.GetPage(1) |
---|
| 690 | sim_page=self.sim_page |
---|
| 691 | current_pg = self.fit_panel.get_current_page() |
---|
| 692 | if current_pg != sim_page: |
---|
| 693 | current_pg.set_panel(model) |
---|
| 694 | #model.name = self.page_finder[current_pg].get_name() |
---|
| 695 | #print "model name", model.name |
---|
| 696 | model.name="M"+str(self.index_model) |
---|
| 697 | try: |
---|
| 698 | metadata=self.page_finder[current_pg].get_data() |
---|
| 699 | M_name=model.name+"= "+name+"("+metadata.group_id+")" |
---|
| 700 | except: |
---|
| 701 | M_name=model.name+"= "+name |
---|
| 702 | self.index_model += 1 |
---|
| 703 | |
---|
| 704 | |
---|
| 705 | # save model name |
---|
| 706 | |
---|
| 707 | # save the name containing the data name with the appropriate model |
---|
| 708 | self.page_finder[current_pg].set_model(model,M_name) |
---|
| 709 | self.plot_helper(currpage= current_pg,qmin= None,qmax= None) |
---|
| 710 | if self.sim_page!=None: |
---|
| 711 | self.sim_page.add_model(self.page_finder) |
---|
| 712 | |
---|
| 713 | def set_smearer(self,smearer): |
---|
| 714 | """ |
---|
| 715 | |
---|
| 716 | """ |
---|
| 717 | current_pg=self.fit_panel.get_current_page() |
---|
| 718 | self.page_finder[current_pg].set_smearer(smearer) |
---|
| 719 | |
---|
| 720 | def redraw_model(self,qmin= None,qmax= None): |
---|
| 721 | """ |
---|
| 722 | Draw a theory according to model changes or data range. |
---|
| 723 | @param qmin: the minimum value plotted for theory |
---|
| 724 | @param qmax: the maximum value plotted for theory |
---|
| 725 | """ |
---|
| 726 | current_pg=self.fit_panel.get_current_page() |
---|
| 727 | for page, value in self.page_finder.iteritems(): |
---|
| 728 | if page ==current_pg : |
---|
| 729 | break |
---|
| 730 | self.plot_helper(currpage=page,qmin= qmin,qmax= qmax) |
---|
| 731 | |
---|
| 732 | def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None, |
---|
| 733 | ymin=None,ymax=None, xmin=None, xmax=None,title=None ): |
---|
| 734 | """ |
---|
| 735 | Plot a theory given a model and data |
---|
| 736 | @param model: the model from where the theory is derived |
---|
| 737 | @param currpage: page in a dictionary referring to some data |
---|
| 738 | """ |
---|
| 739 | if self.fit_panel.GetPageCount() >1: |
---|
| 740 | for page in self.page_finder.iterkeys(): |
---|
| 741 | if page==currpage : |
---|
| 742 | data=self.page_finder[page].get_plotted_data() |
---|
| 743 | list=self.page_finder[page].get_model() |
---|
| 744 | model=list[0] |
---|
| 745 | break |
---|
| 746 | #print "model in fitting",model |
---|
| 747 | if data!=None and data.__class__.__name__ != 'Data2D': |
---|
| 748 | theory = Theory1D(x=[], y=[]) |
---|
| 749 | theory.name = model.name |
---|
| 750 | theory.group_id = data.group_id |
---|
| 751 | theory.id = "Model" |
---|
| 752 | |
---|
| 753 | x_name, x_units = data.get_xaxis() |
---|
| 754 | y_name, y_units = data.get_yaxis() |
---|
| 755 | theory.xaxis(x_name, x_units) |
---|
| 756 | theory.yaxis(y_name, y_units) |
---|
| 757 | if qmin == None : |
---|
| 758 | qmin = min(data.x) |
---|
| 759 | if qmax == None : |
---|
| 760 | qmax = max(data.x) |
---|
| 761 | try: |
---|
| 762 | tempx = qmin |
---|
| 763 | tempy = model.run(qmin) |
---|
| 764 | theory.x.append(tempx) |
---|
| 765 | theory.y.append(tempy) |
---|
| 766 | except : |
---|
| 767 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
| 768 | skipping point x %g %s" %(qmin, sys.exc_value))) |
---|
| 769 | |
---|
| 770 | for i in range(len(data.x)): |
---|
| 771 | try: |
---|
| 772 | if data.x[i]> qmin and data.x[i]< qmax: |
---|
| 773 | tempx = data.x[i] |
---|
| 774 | tempy = model.run(tempx) |
---|
| 775 | theory.x.append(tempx) |
---|
| 776 | theory.y.append(tempy) |
---|
| 777 | |
---|
| 778 | except: |
---|
| 779 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
| 780 | skipping point x %g %s" %(data.x[i], sys.exc_value))) |
---|
| 781 | try: |
---|
| 782 | tempx = qmax |
---|
| 783 | tempy = model.run(qmax) |
---|
| 784 | theory.x.append(tempx) |
---|
| 785 | theory.y.append(tempy) |
---|
| 786 | except: |
---|
| 787 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
| 788 | skipping point x %g %s" %(qmin, sys.exc_value)) ) |
---|
| 789 | |
---|
| 790 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
| 791 | title=str(data.name))) |
---|
| 792 | else: |
---|
| 793 | |
---|
| 794 | theory=Data2D(data.data, data.err_data) |
---|
| 795 | theory.name= model.name |
---|
| 796 | if title !=None: |
---|
| 797 | self.title = title |
---|
| 798 | theory.id= self.title |
---|
| 799 | theory.group_id= self.title+data.name |
---|
| 800 | else: |
---|
| 801 | self.title= "Analytical model 2D " |
---|
| 802 | theory.id= "Model" |
---|
| 803 | theory.group_id= "Model"+data.name |
---|
| 804 | theory.x_bins= data.x_bins |
---|
| 805 | theory.y_bins= data.y_bins |
---|
| 806 | tempy=[] |
---|
| 807 | #print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin) |
---|
| 808 | if qmin==None: |
---|
| 809 | qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin)) |
---|
| 810 | if qmax==None: |
---|
| 811 | qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/ |
---|
| 812 | +math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2)) |
---|
| 813 | if ymin==None: |
---|
| 814 | ymin=data.ymin |
---|
| 815 | if ymax==None: |
---|
| 816 | ymax=data.ymax |
---|
| 817 | if xmin ==None: |
---|
| 818 | xmin=data.xmin |
---|
| 819 | if xmax==None: |
---|
| 820 | xmax=data.xmax |
---|
| 821 | |
---|
| 822 | theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins))) |
---|
| 823 | for j in range(len(data.y_bins)): |
---|
| 824 | for i in range(len(data.x_bins)): |
---|
| 825 | tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2))) |
---|
| 826 | if tempqij>= qmin and tempqij<= qmax: |
---|
| 827 | theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]]) |
---|
| 828 | else: |
---|
| 829 | theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better. |
---|
| 830 | #print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax |
---|
| 831 | #print "fitting : plot_helper:", theory.image |
---|
| 832 | #print "fitting : plot_helper:",theory.image |
---|
| 833 | theory.detector= data.detector |
---|
| 834 | theory.source= data.source |
---|
| 835 | |
---|
| 836 | theory.qmin= qmin |
---|
| 837 | theory.qmax= qmax |
---|
| 838 | theory.ymin= ymin |
---|
| 839 | theory.ymax= ymax |
---|
| 840 | theory.xmin= xmin |
---|
| 841 | theory.xmax= xmax |
---|
| 842 | |
---|
| 843 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
| 844 | title=self.title +str(data.name))) |
---|
| 845 | |
---|
| 846 | |
---|
| 847 | def _on_model_menu(self, evt): |
---|
| 848 | """ |
---|
| 849 | Plot a theory from a model selected from the menu |
---|
| 850 | """ |
---|
| 851 | name = evt.model.__name__ |
---|
| 852 | if hasattr(evt.model, "name"): |
---|
| 853 | name = evt.model.name |
---|
| 854 | #print "on model menu", name |
---|
| 855 | model=evt.model() |
---|
| 856 | description=model.description |
---|
| 857 | |
---|
| 858 | # Create a model page. If a new page is created, the model |
---|
| 859 | # will be plotted automatically. If a page already exists, |
---|
| 860 | # the content will be updated and the plot refreshed |
---|
| 861 | self.fit_panel.add_model_page(model,description,name,topmenu=True) |
---|
| 862 | |
---|
| 863 | def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False, |
---|
| 864 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
| 865 | """ |
---|
| 866 | draw model with default data value |
---|
| 867 | """ |
---|
| 868 | if data !=None: |
---|
| 869 | self.redraw_model(qmin,qmax) |
---|
| 870 | return |
---|
| 871 | self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep) |
---|
| 872 | self._draw_model2D(model=model, |
---|
| 873 | description=model.description, |
---|
| 874 | enable2D= enable2D, |
---|
| 875 | qmin=qmin, |
---|
| 876 | qmax=qmax, |
---|
| 877 | qstep=qstep) |
---|
| 878 | |
---|
| 879 | |
---|
| 880 | def _draw_model1D(self,model,name,description=None, enable1D=True, |
---|
| 881 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
| 882 | """ |
---|
| 883 | |
---|
| 884 | """ |
---|
| 885 | |
---|
| 886 | if enable1D: |
---|
| 887 | x= numpy.linspace(start= qmin, |
---|
| 888 | stop= qmax, |
---|
| 889 | num= qstep, |
---|
| 890 | endpoint=True |
---|
| 891 | ) |
---|
| 892 | xlen= len(x) |
---|
| 893 | y = numpy.zeros(xlen) |
---|
| 894 | if not enable1D: |
---|
| 895 | for i in range(xlen): |
---|
| 896 | y[i] = model.run(x[i]) |
---|
| 897 | |
---|
| 898 | try: |
---|
| 899 | new_plot = Theory1D(x, y) |
---|
| 900 | |
---|
| 901 | new_plot.name = name |
---|
| 902 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 903 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
| 904 | new_plot.id = "Model" |
---|
| 905 | new_plot.group_id ="Model" |
---|
| 906 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D")) |
---|
| 907 | except: |
---|
| 908 | wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value)) |
---|
| 909 | #raise |
---|
| 910 | return |
---|
| 911 | else: |
---|
| 912 | for i in range(xlen): |
---|
| 913 | y[i] = model.run(x[i]) |
---|
| 914 | try: |
---|
| 915 | new_plot = Theory1D(x, y) |
---|
| 916 | #print "draw model 1D", name |
---|
| 917 | new_plot.name = name |
---|
| 918 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 919 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
| 920 | new_plot.id ="Model" |
---|
| 921 | new_plot.group_id ="Model" |
---|
| 922 | |
---|
| 923 | # Pass the reset flag to let the plotting event handler |
---|
| 924 | # know that we are replacing the whole plot |
---|
| 925 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
| 926 | title="Analytical model 1D ", reset=True )) |
---|
| 927 | |
---|
| 928 | except: |
---|
| 929 | #raise |
---|
| 930 | wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value)) |
---|
| 931 | return |
---|
| 932 | |
---|
| 933 | |
---|
| 934 | |
---|
| 935 | def update(self, output,time): |
---|
| 936 | """ |
---|
| 937 | """ |
---|
| 938 | pass |
---|
| 939 | |
---|
| 940 | def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS): |
---|
| 941 | """ |
---|
| 942 | """ |
---|
| 943 | wx.PostEvent(self.parent, StatusEvent(status="Calc \ |
---|
| 944 | complete !" , type="stop")) |
---|
| 945 | #print "complete",output, model,qmin, qmax |
---|
| 946 | data = output |
---|
| 947 | temp= numpy.zeros(numpy.shape(data)) |
---|
| 948 | temp[temp==0]=1 |
---|
| 949 | theory= Data2D(image=data, err_image=temp) |
---|
| 950 | |
---|
| 951 | from DataLoader.data_info import Detector, Source |
---|
| 952 | |
---|
| 953 | detector = Detector() |
---|
| 954 | theory.detector=[] |
---|
| 955 | theory.detector.append(detector) |
---|
| 956 | |
---|
| 957 | theory.detector[0].distance=1e+32#13705.0 |
---|
| 958 | theory.source= Source() |
---|
| 959 | theory.source.wavelength=2*math.pi/1e+32#8.4 |
---|
| 960 | theory.x_bins =[] |
---|
| 961 | theory.y_bins =[] |
---|
| 962 | #Now qmax is xmax. |
---|
| 963 | xmax=2*theory.detector[0].distance*math.atan(qmax/(4*math.pi/theory.source.wavelength)) |
---|
| 964 | theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0 |
---|
| 965 | theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0 |
---|
| 966 | theory.detector[0].beam_center.x= qmax |
---|
| 967 | theory.detector[0].beam_center.y= qmax |
---|
| 968 | #print "xmax,qmax",xmax,qmax |
---|
| 969 | # compute x_bins and y_bins |
---|
| 970 | # Qx and Qy vectors |
---|
| 971 | |
---|
| 972 | distance = theory.detector[0].distance |
---|
| 973 | pixel = qstep/2-1 |
---|
| 974 | theta = pixel / distance / qstep#100.0 |
---|
| 975 | wavelength = theory.source.wavelength |
---|
| 976 | pixel_width_x = theory.detector[0].pixel_size.x |
---|
| 977 | pixel_width_y = theory.detector[0].pixel_size.y |
---|
| 978 | center_x = theory.detector[0].beam_center.x/pixel_width_x |
---|
| 979 | center_y = theory.detector[0].beam_center.y/pixel_width_y |
---|
| 980 | |
---|
| 981 | |
---|
| 982 | size_x, size_y= numpy.shape(theory.data) |
---|
| 983 | #print "size_x,size_y",size_x, size_y |
---|
| 984 | #This case, q and x are equivalent to each other. |
---|
| 985 | for i_x in range(size_x): |
---|
| 986 | theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0 |
---|
| 987 | qx = 4.0*math.pi/wavelength * math.tan(theta/2.0) |
---|
| 988 | theory.x_bins.append(qx) |
---|
| 989 | for i_y in range(size_y): |
---|
| 990 | theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0 |
---|
| 991 | qy =4.0*math.pi/wavelength * math.tan(theta/2.0) |
---|
| 992 | theory.y_bins.append(qy) |
---|
| 993 | |
---|
| 994 | #theory.err_data= numpy. |
---|
| 995 | theory.name= model.name |
---|
| 996 | theory.group_id ="Model" |
---|
| 997 | theory.id ="Model" |
---|
| 998 | |
---|
| 999 | |
---|
| 1000 | |
---|
| 1001 | theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself |
---|
| 1002 | theory.xmax= qmax#/math.sqrt(2) |
---|
| 1003 | theory.ymin= -qmax#/math.sqrt(2) |
---|
| 1004 | theory.ymax= qmax#/math.sqrt(2) |
---|
| 1005 | |
---|
| 1006 | #print "model draw comptele xmax",theory.xmax,model.name |
---|
| 1007 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
| 1008 | title="Analytical model 2D ", reset=True )) |
---|
| 1009 | |
---|
| 1010 | |
---|
| 1011 | |
---|
| 1012 | def _draw_model2D(self,model,description=None, enable2D=False, |
---|
| 1013 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
| 1014 | |
---|
| 1015 | x= numpy.linspace(start= -1*qmax, |
---|
| 1016 | stop= qmax, |
---|
| 1017 | num= qstep, |
---|
| 1018 | endpoint=True ) |
---|
| 1019 | y = numpy.linspace(start= -1*qmax, |
---|
| 1020 | stop= qmax, |
---|
| 1021 | num= qstep, |
---|
| 1022 | endpoint=True ) |
---|
| 1023 | |
---|
| 1024 | lx = len(x) |
---|
| 1025 | #print x |
---|
| 1026 | #data=numpy.zeros([len(x),len(y)]) |
---|
| 1027 | self.model= model |
---|
| 1028 | if enable2D: |
---|
| 1029 | try: |
---|
| 1030 | from sans.guiframe.model_thread import Calc2D |
---|
| 1031 | # print "in draw model 2d ",self.model |
---|
| 1032 | self.calc_thread = Calc2D(parent =self.parent,x=x, |
---|
| 1033 | y=y,model= self.model, |
---|
| 1034 | qmin=qmin, |
---|
| 1035 | qmax=qmax, |
---|
| 1036 | qstep=qstep, |
---|
| 1037 | completefn=self.complete, |
---|
| 1038 | updatefn=None) |
---|
| 1039 | self.calc_thread.queue() |
---|
| 1040 | self.calc_thread.ready(2.5) |
---|
| 1041 | except: |
---|
| 1042 | raise |
---|
| 1043 | |
---|
| 1044 | def show_panel2D(self, id=None ): |
---|
| 1045 | self.parent.show_panel(self.model2D_id) |
---|
| 1046 | |
---|
| 1047 | |
---|
| 1048 | if __name__ == "__main__": |
---|
| 1049 | i = Plugin() |
---|
| 1050 | |
---|
| 1051 | |
---|
| 1052 | |
---|
| 1053 | |
---|