[f3113c9] | 1 | #import os,os.path, re |
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[d89f09b] | 2 | import sys, wx, logging |
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[0550752] | 3 | import string, numpy, math |
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[d89f09b] | 4 | |
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[3b19ac9] | 5 | from copy import deepcopy |
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[dc317d1] | 6 | from danse.common.plottools.plottables import Data1D, Theory1D,Data2D |
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[6f73a08] | 7 | from danse.common.plottools.PlotPanel import PlotPanel |
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[d89f09b] | 8 | from sans.guicomm.events import NewPlotEvent, StatusEvent |
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[2a8fac1] | 9 | from sans.guicomm.events import EVT_SLICER_PANEL,EVT_MODEL2D_PANEL,ERR_DATA |
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[568e1a5] | 10 | |
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[8f83c90d] | 11 | from sans.fit.AbstractFitEngine import Model,FitData1D,FitData2D#,Data, |
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[d89f09b] | 12 | from fitproblem import FitProblem |
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| 13 | from fitpanel import FitPanel |
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[e9b4cc4] | 14 | from fit_thread import FitThread |
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[f3113c9] | 15 | import models#,modelpage |
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[8566c05] | 16 | import fitpage1D |
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[f3113c9] | 17 | #import park |
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[d250f7d] | 18 | DEFAULT_BEAM = 0.005 |
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[cfc68540] | 19 | DEFAULT_QMIN = 0.0 |
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[fd25fb0] | 20 | DEFAULT_QMAX = 0.1 |
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[7b758fd] | 21 | DEFAULT_NPTS = 50 |
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[e9b4cc4] | 22 | import time |
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| 23 | import thread |
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| 24 | print "main",thread.get_ident() |
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| 25 | |
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[d89f09b] | 26 | class Plugin: |
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| 27 | """ |
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[dabb633] | 28 | Fitting plugin is used to perform fit |
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[d89f09b] | 29 | """ |
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| 30 | def __init__(self): |
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| 31 | ## Plug-in name |
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| 32 | self.sub_menu = "Fitting" |
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| 33 | |
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| 34 | ## Reference to the parent window |
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| 35 | self.parent = None |
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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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[568e1a5] | 39 | self.mypanels=[] |
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[e9b4cc4] | 40 | self.calc_thread = None |
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| 41 | self.done = False |
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[d89f09b] | 42 | # Start with a good default |
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| 43 | self.elapsed = 0.022 |
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| 44 | self.fitter = None |
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| 45 | |
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| 46 | #Flag to let the plug-in know that it is running standalone |
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| 47 | self.standalone=True |
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| 48 | ## Fit engine |
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[e9e914f] | 49 | self._fit_engine = 'scipy' |
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[b2c3225] | 50 | self.enable_model2D=False |
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[2a8fac1] | 51 | # list of selcted data |
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| 52 | self.selected_data_list=[] |
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[d89f09b] | 53 | # Log startup |
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| 54 | logging.info("Fitting plug-in started") |
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[32d802f] | 55 | # model 2D view |
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| 56 | self.model2D_id=None |
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[51d47b5] | 57 | self.sim_page=None |
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[2a8fac1] | 58 | self.err_dy={} |
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| 59 | |
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| 60 | def _on_data_error(self, event): |
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| 61 | self.err_dy= event.err_dy |
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| 62 | |
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[d89f09b] | 63 | def populate_menu(self, id, owner): |
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| 64 | """ |
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| 65 | Create a menu for the Fitting plug-in |
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| 66 | @param id: id to create a menu |
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| 67 | @param owner: owner of menu |
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| 68 | @ return : list of information to populate the main menu |
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| 69 | """ |
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[32d802f] | 70 | self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show) |
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[d89f09b] | 71 | #Menu for fitting |
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| 72 | self.menu1 = wx.Menu() |
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[51d47b5] | 73 | id1 = wx.NewId() |
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| 74 | self.menu1.Append(id1, '&Simultaneous') |
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| 75 | wx.EVT_MENU(owner, id1, self.on_add_sim_page) |
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[b5c537f] | 76 | #Set park engine |
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[3b19ac9] | 77 | id3 = wx.NewId() |
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[e9e914f] | 78 | self.menu1.AppendCheckItem(id3, "park") |
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[3b19ac9] | 79 | wx.EVT_MENU(owner, id3, self._onset_engine) |
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[d89f09b] | 80 | |
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| 81 | #menu for model |
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| 82 | menu2 = wx.Menu() |
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[f39511b] | 83 | |
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[d89f09b] | 84 | self.menu_mng.populate_menu(menu2, owner) |
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| 85 | id2 = wx.NewId() |
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| 86 | owner.Bind(models.EVT_MODEL,self._on_model_menu) |
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[51d47b5] | 87 | |
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[d89f09b] | 88 | self.fit_panel.set_owner(owner) |
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| 89 | self.fit_panel.set_model_list(self.menu_mng.get_model_list()) |
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[bcd6d51] | 90 | owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel) |
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[51d47b5] | 91 | |
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[3b19ac9] | 92 | #create menubar items |
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[d89f09b] | 93 | return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")] |
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| 94 | |
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[51d47b5] | 95 | def on_add_sim_page(self, event): |
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| 96 | self.sim_page= self.fit_panel.add_sim_page() |
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| 97 | self.sim_page.add_model(self.page_finder) |
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| 98 | |
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| 99 | |
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[d89f09b] | 100 | def help(self, evt): |
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| 101 | """ |
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| 102 | Show a general help dialog. |
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| 103 | TODO: replace the text with a nice image |
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| 104 | """ |
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[2268d10] | 105 | #from helpDialog import HelpWindow |
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| 106 | #dialog = HelpWindow(None, -1, 'HelpWindow') |
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| 107 | #if dialog.ShowModal() == wx.ID_OK: |
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| 108 | # pass |
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| 109 | #dialog.Destroy() |
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| 110 | from helpPanel import HelpWindow |
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| 111 | frame = HelpWindow(None, -1, 'HelpWindow') |
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| 112 | frame.Show(True) |
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| 113 | |
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| 114 | |
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[d7d143b0] | 115 | |
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[d89f09b] | 116 | |
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| 117 | def get_context_menu(self, graph=None): |
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| 118 | """ |
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| 119 | Get the context menu items available for P(r) |
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| 120 | @param graph: the Graph object to which we attach the context menu |
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| 121 | @return: a list of menu items with call-back function |
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| 122 | """ |
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| 123 | self.graph=graph |
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| 124 | for item in graph.plottables: |
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[693ab78] | 125 | if item.__class__.__name__ is "Data2D": |
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[2dbb681] | 126 | return [["Select data for Fitting",\ |
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| 127 | "Dialog with fitting parameters ", self._onSelect]] |
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[6f73a08] | 128 | else: |
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[2a8fac1] | 129 | #if item.name==graph.selected_plottable and\ |
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| 130 | # item.__class__.__name__ is "Data1D": |
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| 131 | if item.name==graph.selected_plottable : |
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[2dbb681] | 132 | return [["Select data for Fitting", \ |
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| 133 | "Dialog with fitting parameters ", self._onSelect]] |
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[d89f09b] | 134 | return [] |
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| 135 | |
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| 136 | |
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| 137 | def get_panels(self, parent): |
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| 138 | """ |
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| 139 | Create and return a list of panel objects |
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| 140 | """ |
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| 141 | self.parent = parent |
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| 142 | # Creation of the fit panel |
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| 143 | self.fit_panel = FitPanel(self.parent, -1) |
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| 144 | #Set the manager forthe main panel |
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| 145 | self.fit_panel.set_manager(self) |
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| 146 | # List of windows used for the perspective |
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| 147 | self.perspective = [] |
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| 148 | self.perspective.append(self.fit_panel.window_name) |
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| 149 | # take care of saving data, model and page associated with each other |
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[3b19ac9] | 150 | self.page_finder = {} |
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| 151 | #index number to create random model name |
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| 152 | self.index_model = 0 |
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[264df67] | 153 | self.index_theory= 0 |
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[32673ac] | 154 | self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event) |
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[2a8fac1] | 155 | self.parent.Bind( ERR_DATA, self._on_data_error) |
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[32d802f] | 156 | |
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[3b19ac9] | 157 | #create the fitting panel |
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[568e1a5] | 158 | #return [self.fit_panel] |
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[32673ac] | 159 | |
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[568e1a5] | 160 | self.mypanels.append(self.fit_panel) |
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| 161 | return self.mypanels |
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[888e62c] | 162 | |
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| 163 | |
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[32d802f] | 164 | def _on_model2D_show(self, event ): |
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| 165 | print "model2D get the id ", event.id |
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[888e62c] | 166 | |
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| 167 | |
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[568e1a5] | 168 | def _on_slicer_event(self, event): |
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[32673ac] | 169 | print "fitting:slicer event ", event.panel |
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[888e62c] | 170 | if event.panel!=None: |
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| 171 | new_panel = event.panel |
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| 172 | # Set group ID if available |
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| 173 | event_id = self.parent.popup_panel(new_panel) |
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| 174 | self.menu1.Append(event_id, new_panel.window_caption, |
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| 175 | "Show %s plot panel" % new_panel.window_caption) |
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| 176 | # Set UID to allow us to reference the panel later |
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| 177 | new_panel.uid = event_id |
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| 178 | new_panel |
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| 179 | self.mypanels.append(new_panel) |
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[568e1a5] | 180 | return |
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[d23544dc] | 181 | def _on_show_panel(self, event): |
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| 182 | print "_on_show_panel: fitting" |
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[d89f09b] | 183 | |
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| 184 | def get_perspective(self): |
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| 185 | """ |
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| 186 | Get the list of panel names for this perspective |
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| 187 | """ |
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| 188 | return self.perspective |
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| 189 | |
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| 190 | |
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| 191 | def on_perspective(self, event): |
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| 192 | """ |
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| 193 | Call back function for the perspective menu item. |
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| 194 | We notify the parent window that the perspective |
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| 195 | has changed. |
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| 196 | """ |
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| 197 | self.parent.set_perspective(self.perspective) |
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| 198 | |
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| 199 | |
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| 200 | def post_init(self): |
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| 201 | """ |
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| 202 | Post initialization call back to close the loose ends |
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| 203 | [Somehow openGL needs this call] |
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| 204 | """ |
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| 205 | self.parent.set_perspective(self.perspective) |
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[cce33b3] | 206 | |
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| 207 | def copy_data(self, item, dy): |
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| 208 | detector=None |
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| 209 | source=None |
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| 210 | dxl=None |
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| 211 | dxw=None |
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| 212 | if hasattr(item, "dxl"): |
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| 213 | dxl = item.dxl |
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| 214 | if hasattr(item, "dxw"): |
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| 215 | dxw = item.dxw |
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| 216 | if hasattr(item, "detector"): |
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| 217 | detector =item.detector |
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| 218 | if hasattr(item, "source"): |
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| 219 | source =item.source |
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| 220 | from sans.guiframe import dataFitting |
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| 221 | data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw) |
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| 222 | data.name=item.name |
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| 223 | data.detector=detector |
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| 224 | data.source= source |
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| 225 | return data |
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| 226 | |
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[d89f09b] | 227 | def _onSelect(self,event): |
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| 228 | """ |
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| 229 | when Select data to fit a new page is created .Its reference is |
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| 230 | added to self.page_finder |
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| 231 | """ |
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| 232 | self.panel = event.GetEventObject() |
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| 233 | for item in self.panel.graph.plottables: |
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[2a8fac1] | 234 | if item.name == self.panel.graph.selected_plottable: |
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| 235 | if len(self.err_dy)>0: |
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| 236 | if item.name in self.err_dy.iterkeys(): |
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| 237 | dy= self.err_dy[item.name] |
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[cce33b3] | 238 | data= self.copy_data(item, dy) |
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| 239 | else: |
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[6dc6845] | 240 | data= item |
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[2a8fac1] | 241 | else: |
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| 242 | if item.dy==None: |
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| 243 | dy= numpy.zeros(len(item.y)) |
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| 244 | dy[dy==0]=1 |
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[cce33b3] | 245 | data= self.copy_data(item, dy) |
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[2a8fac1] | 246 | else: |
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[949c7b2] | 247 | data= item |
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[9e50026] | 248 | else: |
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| 249 | data= item |
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[cce33b3] | 250 | |
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| 251 | |
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[693ab78] | 252 | if item.name == self.panel.graph.selected_plottable or\ |
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| 253 | item.__class__.__name__ is "Data2D": |
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[3b19ac9] | 254 | #find a name for the page created for notebook |
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[2a8fac1] | 255 | print "fitting", self.panel |
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[d89f09b] | 256 | try: |
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[d0eac66] | 257 | |
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[2a8fac1] | 258 | #page = self.fit_panel.add_fit_page(item) |
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| 259 | page = self.fit_panel.add_fit_page(data) |
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[ef8b580] | 260 | #page, model_name = self.fit_panel.add_fit_page(item) |
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[3b19ac9] | 261 | # add data associated to the page created |
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[d0eac66] | 262 | |
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| 263 | if page !=None: |
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[6f73a08] | 264 | #create a fitproblem storing all link to data,model,page creation |
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| 265 | self.page_finder[page]= FitProblem() |
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[ef8b580] | 266 | #self.page_finder[page].save_model_name(model_name) |
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[2a8fac1] | 267 | self.page_finder[page].add_plotted_data(item) |
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| 268 | self.page_finder[page].add_fit_data(data) |
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| 269 | |
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| 270 | |
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[d0eac66] | 271 | wx.PostEvent(self.parent, StatusEvent(status="Page Created")) |
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| 272 | else: |
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| 273 | wx.PostEvent(self.parent, StatusEvent(status="Page was already Created")) |
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[d89f09b] | 274 | except: |
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[2a8fac1] | 275 | raise |
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| 276 | #wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\ |
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| 277 | #%sys.exc_value)) |
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| 278 | |
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| 279 | |
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[948add7] | 280 | def schedule_for_fit(self,value=0,fitproblem =None): |
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| 281 | """ |
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| 282 | |
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| 283 | """ |
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| 284 | if fitproblem !=None: |
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| 285 | fitproblem.schedule_tofit(value) |
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| 286 | else: |
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| 287 | current_pg=self.fit_panel.get_current_page() |
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| 288 | for page, val in self.page_finder.iteritems(): |
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| 289 | if page ==current_pg : |
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| 290 | val.schedule_tofit(value) |
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| 291 | break |
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| 292 | |
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[d89f09b] | 293 | |
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| 294 | def get_page_finder(self): |
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| 295 | """ @return self.page_finder used also by simfitpage.py""" |
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| 296 | return self.page_finder |
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| 297 | |
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| 298 | |
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[3b19ac9] | 299 | def set_page_finder(self,modelname,names,values): |
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[d89f09b] | 300 | """ |
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| 301 | Used by simfitpage.py to reset a parameter given the string constrainst. |
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| 302 | @param modelname: the name ot the model for with the parameter has to reset |
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| 303 | @param value: can be a string in this case. |
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[3b19ac9] | 304 | @param names: the paramter name |
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[d89f09b] | 305 | @note: expecting park used for fit. |
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| 306 | """ |
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[51d47b5] | 307 | #sim_page=self.fit_panel.GetPage(1) |
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| 308 | sim_page= self.sim_page |
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[d89f09b] | 309 | for page, value in self.page_finder.iteritems(): |
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| 310 | if page != sim_page: |
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| 311 | list=value.get_model() |
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| 312 | model=list[0] |
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[9e27de9] | 313 | print "fitting",model.name,modelname, values |
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[d89f09b] | 314 | if model.name== modelname: |
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[3b19ac9] | 315 | value.set_model_param(names,values) |
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[d89f09b] | 316 | break |
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| 317 | |
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| 318 | |
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| 319 | |
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| 320 | def split_string(self,item): |
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| 321 | """ |
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[3b19ac9] | 322 | receive a word containing dot and split it. used to split parameterset |
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| 323 | name into model name and parameter name example: |
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| 324 | paramaterset (item) = M1.A |
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| 325 | @return model_name =M1 , parameter name =A |
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[d89f09b] | 326 | """ |
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| 327 | if string.find(item,".")!=-1: |
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| 328 | param_names= re.split("\.",item) |
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| 329 | model_name=param_names[0] |
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| 330 | param_name=param_names[1] |
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| 331 | return model_name,param_name |
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| 332 | |
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[e9b4cc4] | 333 | |
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[3215d32] | 334 | def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None, |
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[4af20b4] | 335 | ymin=None, ymax=None, xmin=None, xmax=None): |
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[d89f09b] | 336 | """ |
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[3b19ac9] | 337 | Display fit result on one page of the notebook. |
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| 338 | @param result: result of fit |
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| 339 | @param pars: list of names of parameters fitted |
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| 340 | @param current_pg: the page where information will be displayed |
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| 341 | @param qmin: the minimum value of x to replot the model |
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| 342 | @param qmax: the maximum value of x to replot model |
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[d89f09b] | 343 | |
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| 344 | """ |
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[f343069] | 345 | |
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[89032bf] | 346 | #print "single fit ", pars,result.pvec,result.stderr,result.fitness |
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[f343069] | 347 | wx.PostEvent(self.parent, StatusEvent(status="Single fit \ |
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[3215d32] | 348 | complete " , type="stop")) |
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[d89f09b] | 349 | try: |
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| 350 | for page, value in self.page_finder.iteritems(): |
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[948add7] | 351 | if page==cpage : |
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[6f73a08] | 352 | #fitdata = value.get_data() |
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[d89f09b] | 353 | list = value.get_model() |
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| 354 | model= list[0] |
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| 355 | break |
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| 356 | i = 0 |
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[8f83c90d] | 357 | |
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[d89f09b] | 358 | for name in pars: |
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| 359 | if result.pvec.__class__==numpy.float64: |
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[1b07935d] | 360 | model.setParam(name,result.pvec) |
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[d89f09b] | 361 | else: |
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[e9e914f] | 362 | print "fitting result : chisqr",result.fitness |
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| 363 | print "fitting result : pvec",result.pvec |
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| 364 | print "fitting result : stderr",result.stderr |
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| 365 | #model.setParam(name,result.pvec[i]) |
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| 366 | # print "fitting: single fit", name, result.pvec[i] |
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[d89f09b] | 367 | i += 1 |
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[e9e914f] | 368 | |
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[8f83c90d] | 369 | |
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[948add7] | 370 | cpage.onsetValues(result.fitness, result.pvec,result.stderr) |
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[ef8b580] | 371 | #title="Fitted model 2D " |
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[4af20b4] | 372 | self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax, |
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| 373 | ymin=ymin, ymax=ymax, |
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[ef8b580] | 374 | xmin=xmin, xmax=xmax,title=None) |
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[d89f09b] | 375 | except: |
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[e9e914f] | 376 | raise |
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| 377 | #wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 378 | #return |
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[d89f09b] | 379 | |
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[39a365d] | 380 | def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, |
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| 381 | xmin=None, xmax=None, ymin=None, ymax=None): |
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[d89f09b] | 382 | """ |
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| 383 | Parameter estimation completed, |
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| 384 | display the results to the user |
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| 385 | @param alpha: estimated best alpha |
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| 386 | @param elapsed: computation time |
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| 387 | """ |
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[3215d32] | 388 | if cpage!=None: |
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| 389 | self._single_fit_completed(result=result,pars=pars,cpage=cpage, |
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| 390 | qmin=qmin,qmax=qmax, |
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| 391 | ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax) |
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| 392 | return |
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| 393 | else: |
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| 394 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \ |
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| 395 | complete ", type="stop")) |
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| 396 | print "result",cpage,str(result),result.parameters,result.fitness,result.stderr |
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[d89f09b] | 397 | |
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[3215d32] | 398 | try: |
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| 399 | for page, value in self.page_finder.iteritems(): |
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| 400 | if value.get_scheduled()==1: |
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| 401 | #fitdata = value.get_data() |
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| 402 | list = value.get_model() |
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| 403 | model= list[0] |
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| 404 | |
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| 405 | small_out = [] |
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| 406 | small_cov = [] |
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| 407 | i = 0 |
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| 408 | #Separate result in to data corresponding to each page |
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| 409 | for p in result.parameters: |
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| 410 | model_name,param_name = self.split_string(p.name) |
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| 411 | if model.name == model_name: |
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| 412 | small_out.append(p.value ) |
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[7ffe36b] | 413 | if p.stderr==None: |
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| 414 | p.stderr=numpy.nan |
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[3215d32] | 415 | small_cov.append(p.stderr) |
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| 416 | model.setParam(param_name,p.value) |
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| 417 | # Display result on each page |
---|
[7ffe36b] | 418 | #print "mmmm",p.value,p.stderr |
---|
[3215d32] | 419 | page.onsetValues(result.fitness, small_out,small_cov) |
---|
[7ffe36b] | 420 | #print "out,err",small_out,small_cov |
---|
[3215d32] | 421 | #Replot model |
---|
| 422 | self.plot_helper(currpage= page,qmin= qmin,qmax= qmax, |
---|
| 423 | xmin=xmin, xmax=xmax, |
---|
| 424 | ymin=ymin, ymax=ymax) |
---|
| 425 | except: |
---|
| 426 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value)) |
---|
[c62dbbe] | 427 | return |
---|
[51d47b5] | 428 | def stop_fit(self): |
---|
| 429 | if self.calc_thread != None and self.calc_thread.isrunning(): |
---|
[f3113c9] | 430 | #self.calc_thread.interrupt() |
---|
| 431 | self.calc_thread.stop() |
---|
| 432 | wx.PostEvent(self.parent, StatusEvent(status="Fitting \ |
---|
| 433 | is cancelled" , type="stop")) |
---|
[4af20b4] | 434 | def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None): |
---|
[d89f09b] | 435 | """ |
---|
| 436 | perform fit for the current page and return chisqr,out and cov |
---|
| 437 | @param engineName: type of fit to be performed |
---|
| 438 | @param id: unique id corresponding to a fit problem(model, set of data) |
---|
| 439 | @param model: model to fit |
---|
| 440 | |
---|
| 441 | """ |
---|
[948add7] | 442 | #print "in single fitting" |
---|
[d89f09b] | 443 | #set an engine to perform fit |
---|
| 444 | from sans.fit.Fitting import Fit |
---|
| 445 | self.fitter= Fit(self._fit_engine) |
---|
[3b19ac9] | 446 | #Setting an id to store model and data in fit engine |
---|
[3215d32] | 447 | self.fit_id= 0 |
---|
[202a7dc3] | 448 | if id!=None: |
---|
| 449 | self.fit_id= id |
---|
| 450 | |
---|
[948add7] | 451 | page_fitted=None |
---|
| 452 | fit_problem=None |
---|
[3b19ac9] | 453 | #Get information (model , data) related to the page on |
---|
| 454 | #with the fit will be perform |
---|
[202a7dc3] | 455 | current_pg=self.fit_panel.get_current_page() |
---|
[51d47b5] | 456 | #simul_pg=self.fit_panel.GetPage(1 ) |
---|
| 457 | simul_pg=self.sim_page |
---|
[14c707f] | 458 | pars=[] |
---|
[202a7dc3] | 459 | #for page, value in self.page_finder.iteritems(): |
---|
| 460 | if current_pg!= simul_pg: |
---|
| 461 | # if value.get_scheduled() ==1 : |
---|
| 462 | value = self.page_finder[current_pg] |
---|
[2a8fac1] | 463 | metadata = value.get_fit_data() |
---|
[202a7dc3] | 464 | list = value.get_model() |
---|
| 465 | model = list[0] |
---|
| 466 | smearer= value.get_smearer() |
---|
[8f83c90d] | 467 | |
---|
| 468 | |
---|
[202a7dc3] | 469 | #Create list of parameters for fitting used |
---|
[e9b4cc4] | 470 | |
---|
[202a7dc3] | 471 | templist=[] |
---|
| 472 | try: |
---|
| 473 | #templist=current_pg.get_param_list() |
---|
| 474 | templist=current_pg.get_param_list() |
---|
| 475 | for element in templist: |
---|
| 476 | pars.append(str(element[0].GetLabelText())) |
---|
| 477 | pars.sort() |
---|
| 478 | #Do the single fit |
---|
| 479 | self.fitter.set_model(Model(model), self.fit_id, pars) |
---|
[51d47b5] | 480 | if self._fit_engine=="scipy": |
---|
| 481 | wx.PostEvent(self.parent, StatusEvent(status="Parameters range will\ |
---|
| 482 | be ignored for %s fitting engine"%str(self._fit_engine))) |
---|
[202a7dc3] | 483 | #print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax |
---|
[8f83c90d] | 484 | dy=[] |
---|
| 485 | x=[] |
---|
| 486 | y=[] |
---|
[6e659ae8] | 487 | if metadata.__class__ in ["Data1D","Theory1D"]: |
---|
| 488 | for i in range(len(metadata.dy)): |
---|
| 489 | if metadata.dy[i] !=0: |
---|
| 490 | dy.append(metadata.dy[i]) |
---|
| 491 | x.append(metadata.x[i]) |
---|
| 492 | y.append(metadata.y[i]) |
---|
| 493 | if len(dy)>0: |
---|
| 494 | metadata.dy=numpy.zeros(len(dy)) |
---|
| 495 | metadata.dy=dy |
---|
| 496 | metadata.y=numpy.zeros(len(y)) |
---|
| 497 | metadata.y=y |
---|
| 498 | metadata.x=numpy.zeros(len(x)) |
---|
| 499 | metadata.x=x |
---|
[202a7dc3] | 500 | self.fitter.set_data(data=metadata,Uid=self.fit_id, |
---|
| 501 | smearer=smearer,qmin= qmin,qmax=qmax, |
---|
| 502 | ymin=ymin,ymax=ymax) |
---|
| 503 | self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled()) |
---|
| 504 | page_fitted=current_pg |
---|
[3215d32] | 505 | #self.fit_id+=1 |
---|
[202a7dc3] | 506 | #self.schedule_for_fit( 0,value) |
---|
| 507 | except: |
---|
[3215d32] | 508 | wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value)) |
---|
[202a7dc3] | 509 | return |
---|
| 510 | # make sure to keep an alphabetic order |
---|
| 511 | #of parameter names in the list |
---|
| 512 | try: |
---|
| 513 | # If a thread is already started, stop it |
---|
| 514 | if self.calc_thread != None and self.calc_thread.isrunning(): |
---|
| 515 | self.calc_thread.stop() |
---|
| 516 | |
---|
| 517 | self.calc_thread =FitThread(parent =self.parent, |
---|
| 518 | fn= self.fitter, |
---|
| 519 | pars= pars, |
---|
| 520 | cpage= page_fitted, |
---|
| 521 | qmin=qmin, |
---|
| 522 | qmax=qmax, |
---|
| 523 | |
---|
| 524 | completefn=self._single_fit_completed, |
---|
| 525 | updatefn=None) |
---|
| 526 | self.calc_thread.queue() |
---|
| 527 | self.calc_thread.ready(2.5) |
---|
| 528 | #while not self.done: |
---|
| 529 | #print "when here" |
---|
| 530 | # time.sleep(1) |
---|
| 531 | |
---|
| 532 | |
---|
| 533 | except: |
---|
| 534 | wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value)) |
---|
| 535 | return |
---|
[d89f09b] | 536 | |
---|
[9d31a8b] | 537 | def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None): |
---|
[d89f09b] | 538 | """ |
---|
| 539 | perform fit for all the pages selected on simpage and return chisqr,out and cov |
---|
| 540 | @param engineName: type of fit to be performed |
---|
| 541 | @param id: unique id corresponding to a fit problem(model, set of data) |
---|
| 542 | in park_integration |
---|
| 543 | @param model: model to fit |
---|
| 544 | |
---|
| 545 | """ |
---|
| 546 | #set an engine to perform fit |
---|
| 547 | from sans.fit.Fitting import Fit |
---|
| 548 | self.fitter= Fit(self._fit_engine) |
---|
[3215d32] | 549 | self.fit_id= 0 |
---|
[d89f09b] | 550 | #Setting an id to store model and data |
---|
[202a7dc3] | 551 | if id!=None: |
---|
| 552 | self.fit_id= id |
---|
| 553 | |
---|
[3b19ac9] | 554 | |
---|
[d89f09b] | 555 | for page, value in self.page_finder.iteritems(): |
---|
| 556 | try: |
---|
[948add7] | 557 | if value.get_scheduled()==1: |
---|
[2a8fac1] | 558 | metadata = value.get_fit_data() |
---|
[3b19ac9] | 559 | list = value.get_model() |
---|
| 560 | model= list[0] |
---|
[d89f09b] | 561 | #Create dictionary of parameters for fitting used |
---|
[3215d32] | 562 | cpage= page |
---|
| 563 | print "" |
---|
[d89f09b] | 564 | pars = [] |
---|
| 565 | templist = [] |
---|
[3b19ac9] | 566 | templist = page.get_param_list() |
---|
[d89f09b] | 567 | for element in templist: |
---|
| 568 | try: |
---|
| 569 | name = str(element[0].GetLabelText()) |
---|
| 570 | pars.append(name) |
---|
| 571 | except: |
---|
[3215d32] | 572 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value)) |
---|
[d89f09b] | 573 | return |
---|
[c80c06f] | 574 | # need to check this print "new model " |
---|
[9e27de9] | 575 | |
---|
[00561739] | 576 | new_model=Model(model) |
---|
[8e81af0] | 577 | param=value.get_model_param() |
---|
| 578 | |
---|
| 579 | if len(param)>0: |
---|
| 580 | for item in param: |
---|
| 581 | param_value = item[1] |
---|
| 582 | param_name = item[0] |
---|
[51d47b5] | 583 | |
---|
[8e81af0] | 584 | new_model.parameterset[ param_name].set( param_value ) |
---|
[9e27de9] | 585 | |
---|
| 586 | self.fitter.set_model(new_model, self.fit_id, pars) |
---|
[3215d32] | 587 | print "sim-->model",metadata,model,self.fit_id, pars |
---|
[6e659ae8] | 588 | dy=[] |
---|
| 589 | x=[] |
---|
| 590 | y=[] |
---|
| 591 | if metadata.__class__ in ["Data1D","Theory1D"]: |
---|
| 592 | for i in range(len(metadata.dy)): |
---|
| 593 | if metadata.dy[i] !=0: |
---|
| 594 | dy.append(metadata.dy[i]) |
---|
| 595 | x.append(metadata.x[i]) |
---|
| 596 | y.append(metadata.y[i]) |
---|
| 597 | if len(dy)>0: |
---|
| 598 | metadata.dy=numpy.zeros(len(dy)) |
---|
| 599 | metadata.dy=dy |
---|
| 600 | metadata.y=numpy.zeros(len(y)) |
---|
| 601 | metadata.y=y |
---|
| 602 | metadata.x=numpy.zeros(len(x)) |
---|
| 603 | metadata.x=x |
---|
[202a7dc3] | 604 | self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax) |
---|
[14c707f] | 605 | print "sim---->value of problem",value.get_scheduled() |
---|
[202a7dc3] | 606 | self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled()) |
---|
| 607 | self.fit_id += 1 |
---|
[9e27de9] | 608 | value.clear_model_param() |
---|
[3215d32] | 609 | #self.schedule_for_fit( 0,value) |
---|
[d89f09b] | 610 | except: |
---|
[3215d32] | 611 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value)) |
---|
[3b19ac9] | 612 | return |
---|
[dabb633] | 613 | #Do the simultaneous fit |
---|
[d89f09b] | 614 | try: |
---|
[e9b4cc4] | 615 | # If a thread is already started, stop it |
---|
| 616 | if self.calc_thread != None and self.calc_thread.isrunning(): |
---|
| 617 | self.calc_thread.stop() |
---|
[3215d32] | 618 | if self.fit_id==1: |
---|
| 619 | self.calc_thread =FitThread(parent =self.parent, |
---|
| 620 | fn= self.fitter, |
---|
| 621 | qmin=qmin, |
---|
| 622 | qmax=qmax, |
---|
| 623 | ymin= ymin, |
---|
| 624 | ymax= ymax, |
---|
| 625 | cpage=cpage, |
---|
| 626 | pars= pars, |
---|
| 627 | completefn= self._simul_fit_completed, |
---|
| 628 | updatefn=None) |
---|
| 629 | |
---|
| 630 | else: |
---|
| 631 | self.calc_thread =FitThread(parent =self.parent, |
---|
[e9b4cc4] | 632 | fn= self.fitter, |
---|
| 633 | qmin=qmin, |
---|
| 634 | qmax=qmax, |
---|
| 635 | ymin= ymin, |
---|
| 636 | ymax= ymax, |
---|
| 637 | completefn= self._simul_fit_completed, |
---|
| 638 | updatefn=None) |
---|
| 639 | self.calc_thread.queue() |
---|
| 640 | self.calc_thread.ready(2.5) |
---|
| 641 | |
---|
[d89f09b] | 642 | except: |
---|
[3215d32] | 643 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value)) |
---|
[d89f09b] | 644 | return |
---|
[3b19ac9] | 645 | |
---|
| 646 | |
---|
| 647 | def _onset_engine(self,event): |
---|
| 648 | """ set engine to scipy""" |
---|
| 649 | if self._fit_engine== 'park': |
---|
| 650 | self._on_change_engine('scipy') |
---|
| 651 | else: |
---|
| 652 | self._on_change_engine('park') |
---|
| 653 | wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine)) |
---|
| 654 | |
---|
| 655 | |
---|
[d89f09b] | 656 | def _on_change_engine(self, engine='park'): |
---|
| 657 | """ |
---|
| 658 | Allow to select the type of engine to perform fit |
---|
| 659 | @param engine: the key work of the engine |
---|
| 660 | """ |
---|
| 661 | self._fit_engine = engine |
---|
| 662 | |
---|
| 663 | |
---|
| 664 | def _on_model_panel(self, evt): |
---|
| 665 | """ |
---|
| 666 | react to model selection on any combo box or model menu.plot the model |
---|
| 667 | """ |
---|
[e1a310f] | 668 | |
---|
[d89f09b] | 669 | model = evt.model |
---|
| 670 | name = evt.name |
---|
[32d802f] | 671 | |
---|
[264df67] | 672 | print "name fitting", name |
---|
[51d47b5] | 673 | #sim_page=self.fit_panel.GetPage(1) |
---|
| 674 | sim_page=self.sim_page |
---|
[d89f09b] | 675 | current_pg = self.fit_panel.get_current_page() |
---|
| 676 | if current_pg != sim_page: |
---|
| 677 | current_pg.set_panel(model) |
---|
[ef8b580] | 678 | #model.name = self.page_finder[current_pg].get_name() |
---|
| 679 | #print "model name", model.name |
---|
| 680 | model.name="M"+str(self.index_model) |
---|
[d89f09b] | 681 | try: |
---|
[bcd6d51] | 682 | metadata=self.page_finder[current_pg].get_data() |
---|
[264df67] | 683 | M_name=model.name+"= "+name+"("+metadata.group_id+")" |
---|
[ef8b580] | 684 | except: |
---|
| 685 | M_name=model.name+"= "+name |
---|
[d89f09b] | 686 | self.index_model += 1 |
---|
[ef8b580] | 687 | |
---|
| 688 | |
---|
[6bcdad1] | 689 | # save model name |
---|
[442895f] | 690 | |
---|
[6bcdad1] | 691 | # save the name containing the data name with the appropriate model |
---|
[1b07935d] | 692 | self.page_finder[current_pg].set_model(model,M_name) |
---|
[d89f09b] | 693 | self.plot_helper(currpage= current_pg,qmin= None,qmax= None) |
---|
[51d47b5] | 694 | if self.sim_page!=None: |
---|
| 695 | self.sim_page.add_model(self.page_finder) |
---|
[d89f09b] | 696 | |
---|
[08b9c6c8] | 697 | def set_smearer(self,smearer): |
---|
| 698 | current_pg=self.fit_panel.get_current_page() |
---|
| 699 | self.page_finder[current_pg].set_smearer(smearer) |
---|
| 700 | |
---|
[d89f09b] | 701 | def redraw_model(self,qmin= None,qmax= None): |
---|
| 702 | """ |
---|
| 703 | Draw a theory according to model changes or data range. |
---|
| 704 | @param qmin: the minimum value plotted for theory |
---|
| 705 | @param qmax: the maximum value plotted for theory |
---|
| 706 | """ |
---|
| 707 | current_pg=self.fit_panel.get_current_page() |
---|
| 708 | for page, value in self.page_finder.iteritems(): |
---|
| 709 | if page ==current_pg : |
---|
| 710 | break |
---|
| 711 | self.plot_helper(currpage=page,qmin= qmin,qmax= qmax) |
---|
| 712 | |
---|
[89032bf] | 713 | def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None, |
---|
[4af20b4] | 714 | ymin=None,ymax=None, xmin=None, xmax=None,title=None ): |
---|
[d89f09b] | 715 | """ |
---|
| 716 | Plot a theory given a model and data |
---|
| 717 | @param model: the model from where the theory is derived |
---|
| 718 | @param currpage: page in a dictionary referring to some data |
---|
| 719 | """ |
---|
[26bf293] | 720 | if self.fit_panel.GetPageCount() >1: |
---|
[d89f09b] | 721 | for page in self.page_finder.iterkeys(): |
---|
| 722 | if page==currpage : |
---|
[2a8fac1] | 723 | data=self.page_finder[page].get_plotted_data() |
---|
[bcd6d51] | 724 | list=self.page_finder[page].get_model() |
---|
| 725 | model=list[0] |
---|
[d89f09b] | 726 | break |
---|
[26bf293] | 727 | print "model in fitting",model |
---|
[693ab78] | 728 | if data!=None and data.__class__.__name__ != 'Data2D': |
---|
[d89f09b] | 729 | theory = Theory1D(x=[], y=[]) |
---|
[6bcdad1] | 730 | theory.name = model.name |
---|
[d89f09b] | 731 | theory.group_id = data.group_id |
---|
[ef8b580] | 732 | """ |
---|
[264df67] | 733 | if hasattr(data, "id"): |
---|
| 734 | import string |
---|
| 735 | if string.find("Model",data.id )!=None: |
---|
| 736 | #allow plotting on the same panel |
---|
| 737 | theory.id =str(data.id )+" "+str(self.index_theory) |
---|
| 738 | self.index_theory +=1 |
---|
| 739 | else: |
---|
[ef8b580] | 740 | """ |
---|
| 741 | theory.id = "Model" |
---|
[264df67] | 742 | |
---|
[d89f09b] | 743 | x_name, x_units = data.get_xaxis() |
---|
| 744 | y_name, y_units = data.get_yaxis() |
---|
| 745 | theory.xaxis(x_name, x_units) |
---|
| 746 | theory.yaxis(y_name, y_units) |
---|
| 747 | if qmin == None : |
---|
| 748 | qmin = min(data.x) |
---|
| 749 | if qmax == None : |
---|
[4af20b4] | 750 | qmax = max(data.x) |
---|
[d89f09b] | 751 | try: |
---|
| 752 | tempx = qmin |
---|
[1b07935d] | 753 | tempy = model.run(qmin) |
---|
[d89f09b] | 754 | theory.x.append(tempx) |
---|
| 755 | theory.y.append(tempy) |
---|
| 756 | except : |
---|
| 757 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
| 758 | skipping point x %g %s" %(qmin, sys.exc_value))) |
---|
| 759 | |
---|
| 760 | for i in range(len(data.x)): |
---|
| 761 | try: |
---|
[f69bc394] | 762 | if data.x[i]> qmin and data.x[i]< qmax: |
---|
[d89f09b] | 763 | tempx = data.x[i] |
---|
[1b07935d] | 764 | tempy = model.run(tempx) |
---|
[d89f09b] | 765 | theory.x.append(tempx) |
---|
| 766 | theory.y.append(tempy) |
---|
[04edd0d] | 767 | |
---|
[d89f09b] | 768 | except: |
---|
| 769 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
| 770 | skipping point x %g %s" %(data.x[i], sys.exc_value))) |
---|
| 771 | try: |
---|
| 772 | tempx = qmax |
---|
[1b07935d] | 773 | tempy = model.run(qmax) |
---|
[d89f09b] | 774 | theory.x.append(tempx) |
---|
| 775 | theory.y.append(tempy) |
---|
| 776 | except: |
---|
[00561739] | 777 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
[32d802f] | 778 | skipping point x %g %s" %(qmin, sys.exc_value)) ) |
---|
| 779 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
| 780 | title=str(data.name))) |
---|
[6f73a08] | 781 | else: |
---|
[89032bf] | 782 | |
---|
[dc317d1] | 783 | theory=Data2D(data.data, data.err_data) |
---|
[6bcdad1] | 784 | theory.name= model.name |
---|
[89032bf] | 785 | if title !=None: |
---|
| 786 | self.title = title |
---|
| 787 | theory.id= self.title |
---|
| 788 | theory.group_id= self.title+data.name |
---|
| 789 | else: |
---|
| 790 | self.title= "Analytical model 2D " |
---|
| 791 | theory.id= "Model" |
---|
| 792 | theory.group_id= "Model"+data.name |
---|
[6f73a08] | 793 | theory.x_bins= data.x_bins |
---|
| 794 | theory.y_bins= data.y_bins |
---|
| 795 | tempy=[] |
---|
[22210ef] | 796 | #print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin) |
---|
[17fc6f8] | 797 | if qmin==None: |
---|
[bd82069] | 798 | qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin)) |
---|
[17fc6f8] | 799 | if qmax==None: |
---|
[4af20b4] | 800 | qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/ |
---|
| 801 | +math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2)) |
---|
[17fc6f8] | 802 | if ymin==None: |
---|
| 803 | ymin=data.ymin |
---|
| 804 | if ymax==None: |
---|
| 805 | ymax=data.ymax |
---|
[4af20b4] | 806 | if xmin ==None: |
---|
| 807 | xmin=data.xmin |
---|
| 808 | if xmax==None: |
---|
[f69bc394] | 809 | xmax=data.xmax |
---|
| 810 | |
---|
[57668f8] | 811 | theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins))) |
---|
[4af20b4] | 812 | for j in range(len(data.y_bins)): |
---|
| 813 | for i in range(len(data.x_bins)): |
---|
| 814 | tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2))) |
---|
[bd82069] | 815 | if tempqij>= qmin and tempqij<= qmax: |
---|
| 816 | theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]]) |
---|
| 817 | else: |
---|
| 818 | theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better. |
---|
[f69bc394] | 819 | #print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax |
---|
[44bbf6a] | 820 | #print "fitting : plot_helper:", theory.image |
---|
[2dbb681] | 821 | #print "fitting : plot_helper:",theory.image |
---|
[1f62278] | 822 | theory.detector= data.detector |
---|
| 823 | theory.source= data.source |
---|
[22210ef] | 824 | |
---|
[d0eac66] | 825 | theory.qmin= qmin |
---|
| 826 | theory.qmax= qmax |
---|
[4274c0e] | 827 | theory.ymin= ymin |
---|
| 828 | theory.ymax= ymax |
---|
[d0eac66] | 829 | theory.xmin= xmin |
---|
| 830 | theory.xmax= xmax |
---|
[04edd0d] | 831 | |
---|
[32d802f] | 832 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
[89032bf] | 833 | title=self.title +str(data.name))) |
---|
[6f73a08] | 834 | |
---|
| 835 | |
---|
[d89f09b] | 836 | def _on_model_menu(self, evt): |
---|
| 837 | """ |
---|
| 838 | Plot a theory from a model selected from the menu |
---|
| 839 | """ |
---|
[86c1832] | 840 | name = evt.model.__name__ |
---|
| 841 | if hasattr(evt.model, "name"): |
---|
| 842 | name = evt.model.name |
---|
[32d802f] | 843 | print "on model menu", name |
---|
[b2c3225] | 844 | model=evt.model() |
---|
[2dbb681] | 845 | description=model.description |
---|
[3dc83be] | 846 | |
---|
| 847 | # Create a model page. If a new page is created, the model |
---|
| 848 | # will be plotted automatically. If a page already exists, |
---|
| 849 | # the content will be updated and the plot refreshed |
---|
| 850 | self.fit_panel.add_model_page(model,description,name,topmenu=True) |
---|
[1b07935d] | 851 | |
---|
[26bf293] | 852 | def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False, |
---|
[cfc68540] | 853 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
[3b19ac9] | 854 | """ |
---|
| 855 | draw model with default data value |
---|
| 856 | """ |
---|
[26bf293] | 857 | if data !=None: |
---|
| 858 | self.redraw_model(qmin,qmax) |
---|
| 859 | return |
---|
[2a8fac1] | 860 | self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep) |
---|
[d74d751] | 861 | self._draw_model2D(model=model, |
---|
| 862 | description=model.description, |
---|
| 863 | enable2D= enable2D, |
---|
| 864 | qmin=qmin, |
---|
| 865 | qmax=qmax, |
---|
[c48a26a] | 866 | qstep=qstep) |
---|
[2a8fac1] | 867 | |
---|
[cfc68540] | 868 | |
---|
| 869 | def _draw_model1D(self,model,name,description=None, enable1D=True, |
---|
| 870 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
[e5a9e32] | 871 | |
---|
[d250f7d] | 872 | if enable1D: |
---|
[d15c0202] | 873 | x= numpy.linspace(start= qmin, |
---|
| 874 | stop= qmax, |
---|
| 875 | num= qstep, |
---|
| 876 | endpoint=True |
---|
| 877 | ) |
---|
[f39511b] | 878 | xlen= len(x) |
---|
| 879 | y = numpy.zeros(xlen) |
---|
[d250f7d] | 880 | if not enable1D: |
---|
[f39511b] | 881 | for i in range(xlen): |
---|
| 882 | y[i] = model.run(x[i]) |
---|
[d15c0202] | 883 | |
---|
[f39511b] | 884 | try: |
---|
| 885 | new_plot = Theory1D(x, y) |
---|
[32d802f] | 886 | |
---|
[86c1832] | 887 | new_plot.name = name |
---|
[f39511b] | 888 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 889 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
[6bcdad1] | 890 | new_plot.id = "Model" |
---|
| 891 | new_plot.group_id ="Model" |
---|
[f39511b] | 892 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D")) |
---|
| 893 | except: |
---|
[32d802f] | 894 | wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value)) |
---|
| 895 | #raise |
---|
[f39511b] | 896 | else: |
---|
| 897 | for i in range(xlen): |
---|
[2a8fac1] | 898 | y[i] = model.run(x[i]) |
---|
[f39511b] | 899 | try: |
---|
| 900 | new_plot = Theory1D(x, y) |
---|
[32d802f] | 901 | print "draw model 1D", name |
---|
[86c1832] | 902 | new_plot.name = name |
---|
[f39511b] | 903 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 904 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
[6bcdad1] | 905 | new_plot.id ="Model" |
---|
| 906 | new_plot.group_id ="Model" |
---|
[3dc83be] | 907 | |
---|
| 908 | # Pass the reset flag to let the plotting event handler |
---|
| 909 | # know that we are replacing the whole plot |
---|
[6bcdad1] | 910 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
[3dc83be] | 911 | title="Analytical model 1D ", reset=True )) |
---|
[f39511b] | 912 | |
---|
| 913 | except: |
---|
[32d802f] | 914 | #raise |
---|
| 915 | wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value)) |
---|
[e9b4cc4] | 916 | def update(self, output,time): |
---|
| 917 | pass |
---|
[20be946] | 918 | |
---|
[b2c6d23] | 919 | def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS): |
---|
[26bf293] | 920 | |
---|
[20be946] | 921 | wx.PostEvent(self.parent, StatusEvent(status="Calc \ |
---|
[2a8fac1] | 922 | complete !" , type="stop")) |
---|
[d15c0202] | 923 | #print "complete",output, model,qmin, qmax |
---|
[20be946] | 924 | data = output |
---|
[13e120a] | 925 | temp= numpy.zeros(numpy.shape(data)) |
---|
| 926 | temp[temp==0]=1 |
---|
| 927 | theory= Data2D(image=data, err_image=temp) |
---|
| 928 | |
---|
[d15c0202] | 929 | from DataLoader.data_info import Detector, Source |
---|
| 930 | |
---|
| 931 | detector = Detector() |
---|
| 932 | theory.detector=[] |
---|
[7b758fd] | 933 | theory.detector.append(detector) |
---|
[d15c0202] | 934 | |
---|
[ac2cc940] | 935 | theory.detector[0].distance=1e+32#13705.0 |
---|
[d15c0202] | 936 | theory.source= Source() |
---|
[ac2cc940] | 937 | theory.source.wavelength=2*math.pi/1e+32#8.4 |
---|
[13e120a] | 938 | theory.x_bins =[] |
---|
| 939 | theory.y_bins =[] |
---|
[ac2cc940] | 940 | #Now qmax is xmax. |
---|
| 941 | xmax=2*theory.detector[0].distance*math.atan(qmax/(4*math.pi/theory.source.wavelength)) |
---|
| 942 | theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0 |
---|
| 943 | theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0 |
---|
| 944 | theory.detector[0].beam_center.x= qmax |
---|
| 945 | theory.detector[0].beam_center.y= qmax |
---|
| 946 | #print "xmax,qmax",xmax,qmax |
---|
[13e120a] | 947 | # compute x_bins and y_bins |
---|
| 948 | # Qx and Qy vectors |
---|
| 949 | |
---|
| 950 | distance = theory.detector[0].distance |
---|
| 951 | pixel = qstep/2-1 |
---|
[7b758fd] | 952 | theta = pixel / distance / qstep#100.0 |
---|
[13e120a] | 953 | wavelength = theory.source.wavelength |
---|
| 954 | pixel_width_x = theory.detector[0].pixel_size.x |
---|
| 955 | pixel_width_y = theory.detector[0].pixel_size.y |
---|
| 956 | center_x = theory.detector[0].beam_center.x/pixel_width_x |
---|
| 957 | center_y = theory.detector[0].beam_center.y/pixel_width_y |
---|
[d15c0202] | 958 | |
---|
[13e120a] | 959 | |
---|
| 960 | size_x, size_y= numpy.shape(theory.data) |
---|
[ac2cc940] | 961 | #print "size_x,size_y",size_x, size_y |
---|
[7b758fd] | 962 | #This case, q and x are equivalent to each other. |
---|
[13e120a] | 963 | for i_x in range(size_x): |
---|
[ac2cc940] | 964 | theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0 |
---|
| 965 | qx = 4.0*math.pi/wavelength * math.tan(theta/2.0) |
---|
[13e120a] | 966 | theory.x_bins.append(qx) |
---|
| 967 | for i_y in range(size_y): |
---|
[ac2cc940] | 968 | theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0 |
---|
| 969 | qy =4.0*math.pi/wavelength * math.tan(theta/2.0) |
---|
[13e120a] | 970 | theory.y_bins.append(qy) |
---|
| 971 | |
---|
| 972 | #theory.err_data= numpy. |
---|
[20be946] | 973 | theory.name= model.name |
---|
| 974 | theory.group_id ="Model" |
---|
| 975 | theory.id ="Model" |
---|
[22210ef] | 976 | |
---|
| 977 | |
---|
| 978 | |
---|
[f69bc394] | 979 | theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself |
---|
| 980 | theory.xmax= qmax#/math.sqrt(2) |
---|
| 981 | theory.ymin= -qmax#/math.sqrt(2) |
---|
| 982 | theory.ymax= qmax#/math.sqrt(2) |
---|
[b2c6d23] | 983 | |
---|
[2a8fac1] | 984 | #print "model draw comptele xmax",theory.xmax,model.name |
---|
[20be946] | 985 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
[32d802f] | 986 | title="Analytical model 2D ", reset=True )) |
---|
[20be946] | 987 | |
---|
| 988 | |
---|
| 989 | |
---|
[cfc68540] | 990 | def _draw_model2D(self,model,description=None, enable2D=False, |
---|
| 991 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
[2a8fac1] | 992 | |
---|
[d15c0202] | 993 | x= numpy.linspace(start= -1*qmax, |
---|
| 994 | stop= qmax, |
---|
| 995 | num= qstep, |
---|
| 996 | endpoint=True ) |
---|
| 997 | y = numpy.linspace(start= -1*qmax, |
---|
| 998 | stop= qmax, |
---|
| 999 | num= qstep, |
---|
| 1000 | endpoint=True ) |
---|
| 1001 | |
---|
[dc317d1] | 1002 | lx = len(x) |
---|
[1c5b068] | 1003 | #print x |
---|
[2a8fac1] | 1004 | #data=numpy.zeros([len(x),len(y)]) |
---|
[20be946] | 1005 | self.model= model |
---|
[dc317d1] | 1006 | if enable2D: |
---|
[2a8fac1] | 1007 | try: |
---|
| 1008 | from sans.guiframe.model_thread import Calc2D |
---|
| 1009 | print "in draw model 2d ",self.model |
---|
| 1010 | self.calc_thread = Calc2D(parent =self.parent,x=x, |
---|
| 1011 | y=y,model= self.model, |
---|
| 1012 | qmin=qmin, |
---|
| 1013 | qmax=qmax, |
---|
| 1014 | qstep=qstep, |
---|
| 1015 | completefn=self.complete, |
---|
| 1016 | updatefn=None) |
---|
| 1017 | self.calc_thread.queue() |
---|
| 1018 | self.calc_thread.ready(2.5) |
---|
| 1019 | except: |
---|
| 1020 | raise |
---|
[89032bf] | 1021 | |
---|
| 1022 | def show_panel2D(self, id=None ): |
---|
[32d802f] | 1023 | self.parent.show_panel(self.model2D_id) |
---|
[20be946] | 1024 | |
---|
[db709e4] | 1025 | |
---|
[d89f09b] | 1026 | if __name__ == "__main__": |
---|
| 1027 | i = Plugin() |
---|
| 1028 | |
---|
| 1029 | |
---|
| 1030 | |
---|
| 1031 | |
---|