[d89f09b] | 1 | import os,os.path, re |
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| 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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[32d802f] | 9 | from sans.guicomm.events import EVT_SLICER_PANEL,EVT_MODEL2D_PANEL |
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[568e1a5] | 10 | |
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[6f73a08] | 11 | from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D |
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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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[2dbb681] | 15 | import models,modelpage |
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[8566c05] | 16 | import fitpage1D |
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[dabb633] | 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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[3b19ac9] | 49 | self._fit_engine = 'scipy' |
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[b2c3225] | 50 | self.enable_model2D=False |
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[d89f09b] | 51 | # Log startup |
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| 52 | logging.info("Fitting plug-in started") |
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[32d802f] | 53 | # model 2D view |
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| 54 | self.model2D_id=None |
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[d89f09b] | 55 | |
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| 56 | def populate_menu(self, id, owner): |
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| 57 | """ |
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| 58 | Create a menu for the Fitting plug-in |
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| 59 | @param id: id to create a menu |
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| 60 | @param owner: owner of menu |
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| 61 | @ return : list of information to populate the main menu |
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| 62 | """ |
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[32d802f] | 63 | self.parent.Bind(EVT_MODEL2D_PANEL, self._on_model2D_show) |
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[d89f09b] | 64 | #Menu for fitting |
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| 65 | self.menu1 = wx.Menu() |
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| 66 | id1 = wx.NewId() |
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| 67 | self.menu1.Append(id1, '&Show fit panel') |
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| 68 | wx.EVT_MENU(owner, id1, self.on_perspective) |
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[3b19ac9] | 69 | id3 = wx.NewId() |
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[442895f] | 70 | self.menu1.AppendCheckItem(id3, "park") |
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[e5af88b] | 71 | |
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[3b19ac9] | 72 | wx.EVT_MENU(owner, id3, self._onset_engine) |
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[d89f09b] | 73 | |
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| 74 | #menu for model |
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| 75 | menu2 = wx.Menu() |
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[f39511b] | 76 | |
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[d89f09b] | 77 | self.menu_mng.populate_menu(menu2, owner) |
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| 78 | id2 = wx.NewId() |
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| 79 | owner.Bind(models.EVT_MODEL,self._on_model_menu) |
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[2dbb681] | 80 | #owner.Bind(modelpage.EVT_MODEL,self._on_model_menu) |
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[d89f09b] | 81 | self.fit_panel.set_owner(owner) |
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| 82 | self.fit_panel.set_model_list(self.menu_mng.get_model_list()) |
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[bcd6d51] | 83 | owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel) |
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[8566c05] | 84 | #owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel) |
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[3b19ac9] | 85 | #create menubar items |
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[d89f09b] | 86 | return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")] |
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| 87 | |
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| 88 | |
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| 89 | def help(self, evt): |
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| 90 | """ |
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| 91 | Show a general help dialog. |
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| 92 | TODO: replace the text with a nice image |
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| 93 | """ |
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[2268d10] | 94 | #from helpDialog import HelpWindow |
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| 95 | #dialog = HelpWindow(None, -1, 'HelpWindow') |
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| 96 | #if dialog.ShowModal() == wx.ID_OK: |
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| 97 | # pass |
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| 98 | #dialog.Destroy() |
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| 99 | from helpPanel import HelpWindow |
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| 100 | frame = HelpWindow(None, -1, 'HelpWindow') |
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| 101 | frame.Show(True) |
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| 102 | |
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| 103 | |
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[d7d143b0] | 104 | |
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[d89f09b] | 105 | |
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| 106 | def get_context_menu(self, graph=None): |
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| 107 | """ |
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| 108 | Get the context menu items available for P(r) |
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| 109 | @param graph: the Graph object to which we attach the context menu |
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| 110 | @return: a list of menu items with call-back function |
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| 111 | """ |
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| 112 | self.graph=graph |
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| 113 | for item in graph.plottables: |
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[693ab78] | 114 | if item.__class__.__name__ is "Data2D": |
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[2dbb681] | 115 | return [["Select data for Fitting",\ |
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| 116 | "Dialog with fitting parameters ", self._onSelect]] |
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[6f73a08] | 117 | else: |
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[693ab78] | 118 | if item.name==graph.selected_plottable and\ |
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| 119 | item.__class__.__name__ is "Data1D": |
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[2dbb681] | 120 | return [["Select data for Fitting", \ |
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| 121 | "Dialog with fitting parameters ", self._onSelect]] |
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[d89f09b] | 122 | return [] |
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| 123 | |
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| 124 | |
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| 125 | def get_panels(self, parent): |
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| 126 | """ |
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| 127 | Create and return a list of panel objects |
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| 128 | """ |
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| 129 | self.parent = parent |
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| 130 | # Creation of the fit panel |
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| 131 | self.fit_panel = FitPanel(self.parent, -1) |
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| 132 | #Set the manager forthe main panel |
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| 133 | self.fit_panel.set_manager(self) |
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| 134 | # List of windows used for the perspective |
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| 135 | self.perspective = [] |
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| 136 | self.perspective.append(self.fit_panel.window_name) |
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| 137 | # take care of saving data, model and page associated with each other |
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[3b19ac9] | 138 | self.page_finder = {} |
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| 139 | #index number to create random model name |
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| 140 | self.index_model = 0 |
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[264df67] | 141 | self.index_theory= 0 |
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[32673ac] | 142 | self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event) |
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[888e62c] | 143 | |
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[32d802f] | 144 | |
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[3b19ac9] | 145 | #create the fitting panel |
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[568e1a5] | 146 | #return [self.fit_panel] |
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[32673ac] | 147 | |
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[568e1a5] | 148 | self.mypanels.append(self.fit_panel) |
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| 149 | return self.mypanels |
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[888e62c] | 150 | |
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| 151 | |
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[32d802f] | 152 | def _on_model2D_show(self, event ): |
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| 153 | print "model2D get the id ", event.id |
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[888e62c] | 154 | |
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| 155 | |
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[568e1a5] | 156 | def _on_slicer_event(self, event): |
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[32673ac] | 157 | print "fitting:slicer event ", event.panel |
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[888e62c] | 158 | if event.panel!=None: |
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| 159 | new_panel = event.panel |
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| 160 | # Set group ID if available |
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| 161 | event_id = self.parent.popup_panel(new_panel) |
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| 162 | self.menu1.Append(event_id, new_panel.window_caption, |
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| 163 | "Show %s plot panel" % new_panel.window_caption) |
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| 164 | # Set UID to allow us to reference the panel later |
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| 165 | new_panel.uid = event_id |
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| 166 | new_panel |
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| 167 | self.mypanels.append(new_panel) |
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[568e1a5] | 168 | return |
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[d23544dc] | 169 | def _on_show_panel(self, event): |
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| 170 | print "_on_show_panel: fitting" |
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[d89f09b] | 171 | |
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| 172 | def get_perspective(self): |
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| 173 | """ |
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| 174 | Get the list of panel names for this perspective |
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| 175 | """ |
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| 176 | return self.perspective |
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| 177 | |
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| 178 | |
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| 179 | def on_perspective(self, event): |
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| 180 | """ |
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| 181 | Call back function for the perspective menu item. |
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| 182 | We notify the parent window that the perspective |
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| 183 | has changed. |
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| 184 | """ |
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| 185 | self.parent.set_perspective(self.perspective) |
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| 186 | |
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| 187 | |
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| 188 | def post_init(self): |
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| 189 | """ |
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| 190 | Post initialization call back to close the loose ends |
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| 191 | [Somehow openGL needs this call] |
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| 192 | """ |
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| 193 | self.parent.set_perspective(self.perspective) |
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| 194 | |
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| 195 | |
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| 196 | def _onSelect(self,event): |
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| 197 | """ |
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| 198 | when Select data to fit a new page is created .Its reference is |
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| 199 | added to self.page_finder |
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| 200 | """ |
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| 201 | self.panel = event.GetEventObject() |
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| 202 | for item in self.panel.graph.plottables: |
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[693ab78] | 203 | if item.name == self.panel.graph.selected_plottable or\ |
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| 204 | item.__class__.__name__ is "Data2D": |
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[3b19ac9] | 205 | #find a name for the page created for notebook |
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[d89f09b] | 206 | try: |
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[d0eac66] | 207 | |
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[ef8b580] | 208 | page = self.fit_panel.add_fit_page(item) |
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| 209 | #page, model_name = self.fit_panel.add_fit_page(item) |
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[3b19ac9] | 210 | # add data associated to the page created |
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[d0eac66] | 211 | |
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| 212 | if page !=None: |
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[6f73a08] | 213 | #create a fitproblem storing all link to data,model,page creation |
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| 214 | self.page_finder[page]= FitProblem() |
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[ef8b580] | 215 | #self.page_finder[page].save_model_name(model_name) |
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[bcd6d51] | 216 | self.page_finder[page].add_data(item) |
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[d0eac66] | 217 | wx.PostEvent(self.parent, StatusEvent(status="Page Created")) |
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| 218 | else: |
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| 219 | wx.PostEvent(self.parent, StatusEvent(status="Page was already Created")) |
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[d89f09b] | 220 | except: |
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[d0eac66] | 221 | #raise |
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[6f73a08] | 222 | wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\ |
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| 223 | %sys.exc_value)) |
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[948add7] | 224 | def schedule_for_fit(self,value=0,fitproblem =None): |
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| 225 | """ |
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| 226 | |
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| 227 | """ |
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| 228 | if fitproblem !=None: |
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| 229 | fitproblem.schedule_tofit(value) |
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| 230 | else: |
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| 231 | current_pg=self.fit_panel.get_current_page() |
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| 232 | for page, val in self.page_finder.iteritems(): |
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| 233 | if page ==current_pg : |
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| 234 | val.schedule_tofit(value) |
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| 235 | break |
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| 236 | |
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[d89f09b] | 237 | |
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| 238 | def get_page_finder(self): |
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| 239 | """ @return self.page_finder used also by simfitpage.py""" |
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| 240 | return self.page_finder |
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| 241 | |
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| 242 | |
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[3b19ac9] | 243 | def set_page_finder(self,modelname,names,values): |
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[d89f09b] | 244 | """ |
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| 245 | Used by simfitpage.py to reset a parameter given the string constrainst. |
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| 246 | @param modelname: the name ot the model for with the parameter has to reset |
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| 247 | @param value: can be a string in this case. |
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[3b19ac9] | 248 | @param names: the paramter name |
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[d89f09b] | 249 | @note: expecting park used for fit. |
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| 250 | """ |
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[39a365d] | 251 | sim_page=self.fit_panel.GetPage(1) |
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[d89f09b] | 252 | for page, value in self.page_finder.iteritems(): |
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| 253 | if page != sim_page: |
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| 254 | list=value.get_model() |
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| 255 | model=list[0] |
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[bcd6d51] | 256 | #print "fitting",model.name,modelname |
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[d89f09b] | 257 | if model.name== modelname: |
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[3b19ac9] | 258 | value.set_model_param(names,values) |
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[d89f09b] | 259 | break |
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| 260 | |
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| 261 | |
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| 262 | |
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| 263 | def split_string(self,item): |
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| 264 | """ |
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[3b19ac9] | 265 | receive a word containing dot and split it. used to split parameterset |
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| 266 | name into model name and parameter name example: |
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| 267 | paramaterset (item) = M1.A |
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| 268 | @return model_name =M1 , parameter name =A |
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[d89f09b] | 269 | """ |
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| 270 | if string.find(item,".")!=-1: |
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| 271 | param_names= re.split("\.",item) |
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| 272 | model_name=param_names[0] |
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| 273 | param_name=param_names[1] |
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| 274 | return model_name,param_name |
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| 275 | |
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[e9b4cc4] | 276 | |
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[4af20b4] | 277 | def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed, |
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| 278 | ymin=None, ymax=None, xmin=None, xmax=None): |
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[d89f09b] | 279 | """ |
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[3b19ac9] | 280 | Display fit result on one page of the notebook. |
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| 281 | @param result: result of fit |
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| 282 | @param pars: list of names of parameters fitted |
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| 283 | @param current_pg: the page where information will be displayed |
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| 284 | @param qmin: the minimum value of x to replot the model |
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| 285 | @param qmax: the maximum value of x to replot model |
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[d89f09b] | 286 | |
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| 287 | """ |
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[89032bf] | 288 | #print "single fit ", pars,result.pvec,result.stderr,result.fitness |
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[e9b4cc4] | 289 | #self.done = True |
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| 290 | #wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed)) |
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[d89f09b] | 291 | try: |
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| 292 | for page, value in self.page_finder.iteritems(): |
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[948add7] | 293 | if page==cpage : |
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[6f73a08] | 294 | #fitdata = value.get_data() |
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[d89f09b] | 295 | list = value.get_model() |
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| 296 | model= list[0] |
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| 297 | break |
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| 298 | i = 0 |
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[89032bf] | 299 | #print "fitting: single fit pars ", pars |
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[d89f09b] | 300 | for name in pars: |
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| 301 | if result.pvec.__class__==numpy.float64: |
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[1b07935d] | 302 | model.setParam(name,result.pvec) |
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[d89f09b] | 303 | else: |
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[1b07935d] | 304 | model.setParam(name,result.pvec[i]) |
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[442895f] | 305 | # print "fitting: single fit", name, result.pvec[i] |
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[d89f09b] | 306 | i += 1 |
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[26bf293] | 307 | print "fitting result : chisqr",result.fitness |
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| 308 | print "fitting result : pvec",result.pvec |
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| 309 | print "fitting result : stderr",result.stderr |
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[4af20b4] | 310 | print "qmin qmax xmin xmax ymin , ymax",qmin, qmax,xmin, xmax ,ymin, ymax |
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[442895f] | 311 | |
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[948add7] | 312 | cpage.onsetValues(result.fitness, result.pvec,result.stderr) |
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[ef8b580] | 313 | #title="Fitted model 2D " |
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[4af20b4] | 314 | self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax, |
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| 315 | ymin=ymin, ymax=ymax, |
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[ef8b580] | 316 | xmin=xmin, xmax=xmax,title=None) |
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[d89f09b] | 317 | except: |
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[89032bf] | 318 | #raise |
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[060b857] | 319 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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[d89f09b] | 320 | |
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| 321 | |
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[39a365d] | 322 | def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, |
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| 323 | xmin=None, xmax=None, ymin=None, ymax=None): |
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[d89f09b] | 324 | """ |
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| 325 | Parameter estimation completed, |
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| 326 | display the results to the user |
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| 327 | @param alpha: estimated best alpha |
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| 328 | @param elapsed: computation time |
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| 329 | """ |
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[e9b4cc4] | 330 | wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed)) |
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[d89f09b] | 331 | try: |
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| 332 | for page, value in self.page_finder.iteritems(): |
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[948add7] | 333 | if value.get_scheduled()==1: |
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[6f73a08] | 334 | #fitdata = value.get_data() |
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[3b19ac9] | 335 | list = value.get_model() |
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| 336 | model= list[0] |
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| 337 | |
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| 338 | small_out = [] |
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| 339 | small_cov = [] |
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| 340 | i = 0 |
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| 341 | #Separate result in to data corresponding to each page |
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| 342 | for p in result.parameters: |
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| 343 | model_name,param_name = self.split_string(p.name) |
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| 344 | if model.name == model_name: |
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| 345 | small_out.append(p.value ) |
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[26bf293] | 346 | small_cov.append(p.stderr) |
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[3b19ac9] | 347 | model.setParam(param_name,p.value) |
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| 348 | # Display result on each page |
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| 349 | page.onsetValues(result.fitness, small_out,small_cov) |
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| 350 | #Replot model |
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[39a365d] | 351 | self.plot_helper(currpage= page,qmin= qmin,qmax= qmax, |
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| 352 | xmin=xmin, xmax=xmax, |
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| 353 | ymin=ymin, ymax=ymax) |
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[d89f09b] | 354 | except: |
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| 355 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 356 | |
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[e9b4cc4] | 357 | |
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[4af20b4] | 358 | def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None): |
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[d89f09b] | 359 | """ |
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| 360 | perform fit for the current page and return chisqr,out and cov |
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| 361 | @param engineName: type of fit to be performed |
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| 362 | @param id: unique id corresponding to a fit problem(model, set of data) |
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| 363 | @param model: model to fit |
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| 364 | |
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| 365 | """ |
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[948add7] | 366 | #print "in single fitting" |
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[d89f09b] | 367 | #set an engine to perform fit |
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| 368 | from sans.fit.Fitting import Fit |
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| 369 | self.fitter= Fit(self._fit_engine) |
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[3b19ac9] | 370 | #Setting an id to store model and data in fit engine |
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[d89f09b] | 371 | if id==None: |
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[17fc6f8] | 372 | self.id=0 |
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| 373 | else: |
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| 374 | self.id = id |
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[948add7] | 375 | page_fitted=None |
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| 376 | fit_problem=None |
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[3b19ac9] | 377 | #Get information (model , data) related to the page on |
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| 378 | #with the fit will be perform |
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[57f3320] | 379 | #current_pg=self.fit_panel.get_current_page() |
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| 380 | #simul_pg=self.fit_panel.get_page(0) |
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[14c707f] | 381 | pars=[] |
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[d89f09b] | 382 | for page, value in self.page_finder.iteritems(): |
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[948add7] | 383 | if value.get_scheduled() ==1 : |
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[9d31a8b] | 384 | metadata = value.get_data() |
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[d89f09b] | 385 | list=value.get_model() |
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| 386 | model=list[0] |
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[08b9c6c8] | 387 | smearer= value.get_smearer() |
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[26bf293] | 388 | print "single fit", model, smearer |
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[3b19ac9] | 389 | #Create list of parameters for fitting used |
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[14c707f] | 390 | |
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[d89f09b] | 391 | templist=[] |
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| 392 | try: |
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[948add7] | 393 | #templist=current_pg.get_param_list() |
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| 394 | templist=page.get_param_list() |
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| 395 | for element in templist: |
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| 396 | pars.append(str(element[0].GetLabelText())) |
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| 397 | pars.sort() |
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[89032bf] | 398 | #print "single fit start pars:", pars |
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[948add7] | 399 | #Do the single fit |
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[3b19ac9] | 400 | self.fitter.set_model(Model(model), self.id, pars) |
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[888e62c] | 401 | #print "args...:",metadata,self.id,smearer,qmin,qmax,ymin,ymax |
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[17fc6f8] | 402 | |
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| 403 | self.fitter.set_data(data=metadata,Uid=self.id, |
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| 404 | smearer=smearer,qmin= qmin,qmax=qmax, |
---|
| 405 | ymin=ymin,ymax=ymax) |
---|
[14c707f] | 406 | print "single---->value of problem",value.get_scheduled() |
---|
[948add7] | 407 | self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled()) |
---|
| 408 | page_fitted=page |
---|
| 409 | self.id+=1 |
---|
[14c707f] | 410 | #self.schedule_for_fit( 0,value) |
---|
[d89f09b] | 411 | except: |
---|
[26bf293] | 412 | raise |
---|
| 413 | #wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
---|
[d89f09b] | 414 | return |
---|
[948add7] | 415 | # make sure to keep an alphabetic order |
---|
| 416 | #of parameter names in the list |
---|
| 417 | try: |
---|
[e9b4cc4] | 418 | # If a thread is already started, stop it |
---|
| 419 | if self.calc_thread != None and self.calc_thread.isrunning(): |
---|
| 420 | self.calc_thread.stop() |
---|
| 421 | |
---|
| 422 | self.calc_thread =FitThread(parent =self.parent, |
---|
| 423 | fn= self.fitter, |
---|
| 424 | pars= pars, |
---|
| 425 | cpage= page_fitted, |
---|
| 426 | qmin=qmin, |
---|
| 427 | qmax=qmax, |
---|
[26bf293] | 428 | |
---|
[e9b4cc4] | 429 | completefn=self._single_fit_completed, |
---|
| 430 | updatefn=None) |
---|
| 431 | self.calc_thread.queue() |
---|
| 432 | self.calc_thread.ready(2.5) |
---|
| 433 | #while not self.done: |
---|
| 434 | #print "when here" |
---|
| 435 | # time.sleep(1) |
---|
| 436 | |
---|
| 437 | |
---|
[948add7] | 438 | except: |
---|
[26bf293] | 439 | raise |
---|
[948add7] | 440 | wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value)) |
---|
| 441 | return |
---|
[d89f09b] | 442 | |
---|
[9d31a8b] | 443 | def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None): |
---|
[d89f09b] | 444 | """ |
---|
| 445 | perform fit for all the pages selected on simpage and return chisqr,out and cov |
---|
| 446 | @param engineName: type of fit to be performed |
---|
| 447 | @param id: unique id corresponding to a fit problem(model, set of data) |
---|
| 448 | in park_integration |
---|
| 449 | @param model: model to fit |
---|
| 450 | |
---|
| 451 | """ |
---|
| 452 | #set an engine to perform fit |
---|
| 453 | from sans.fit.Fitting import Fit |
---|
| 454 | self.fitter= Fit(self._fit_engine) |
---|
[3b19ac9] | 455 | |
---|
[d89f09b] | 456 | #Setting an id to store model and data |
---|
| 457 | if id==None: |
---|
| 458 | id = 0 |
---|
| 459 | self.id = id |
---|
[3b19ac9] | 460 | |
---|
[d89f09b] | 461 | for page, value in self.page_finder.iteritems(): |
---|
| 462 | try: |
---|
[948add7] | 463 | if value.get_scheduled()==1: |
---|
[9d31a8b] | 464 | metadata = value.get_data() |
---|
[3b19ac9] | 465 | list = value.get_model() |
---|
| 466 | model= list[0] |
---|
[d89f09b] | 467 | #Create dictionary of parameters for fitting used |
---|
| 468 | pars = [] |
---|
| 469 | templist = [] |
---|
[3b19ac9] | 470 | templist = page.get_param_list() |
---|
[d89f09b] | 471 | for element in templist: |
---|
| 472 | try: |
---|
| 473 | name = str(element[0].GetLabelText()) |
---|
| 474 | pars.append(name) |
---|
| 475 | except: |
---|
| 476 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
---|
| 477 | return |
---|
[c80c06f] | 478 | # need to check this print "new model " |
---|
[00561739] | 479 | new_model=Model(model) |
---|
[8e81af0] | 480 | param=value.get_model_param() |
---|
| 481 | |
---|
| 482 | if len(param)>0: |
---|
| 483 | for item in param: |
---|
| 484 | param_value = item[1] |
---|
| 485 | param_name = item[0] |
---|
| 486 | #print "fitting ", param,param_name, param_value |
---|
| 487 | |
---|
| 488 | #new_model.set( model.getParam(param_name[0])= param_value) |
---|
| 489 | #new_model.set( exec"%s=%s"%(param_name[0], param_value)) |
---|
| 490 | #new_model.set( exec "%s"%(param_nam) = param_value) |
---|
| 491 | new_model.parameterset[ param_name].set( param_value ) |
---|
[c80c06f] | 492 | |
---|
[948add7] | 493 | self.fitter.set_model(new_model, self.id, pars) |
---|
[9d31a8b] | 494 | self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax) |
---|
[14c707f] | 495 | print "sim---->value of problem",value.get_scheduled() |
---|
[948add7] | 496 | self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled()) |
---|
[3b19ac9] | 497 | self.id += 1 |
---|
[d89f09b] | 498 | except: |
---|
[89032bf] | 499 | #raise |
---|
[3b19ac9] | 500 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
---|
| 501 | return |
---|
[dabb633] | 502 | #Do the simultaneous fit |
---|
[d89f09b] | 503 | try: |
---|
[e9b4cc4] | 504 | # If a thread is already started, stop it |
---|
| 505 | if self.calc_thread != None and self.calc_thread.isrunning(): |
---|
| 506 | self.calc_thread.stop() |
---|
| 507 | |
---|
| 508 | self.calc_thread =FitThread(parent =self.parent, |
---|
| 509 | fn= self.fitter, |
---|
| 510 | qmin=qmin, |
---|
| 511 | qmax=qmax, |
---|
| 512 | ymin= ymin, |
---|
| 513 | ymax= ymax, |
---|
| 514 | completefn= self._simul_fit_completed, |
---|
| 515 | updatefn=None) |
---|
| 516 | self.calc_thread.queue() |
---|
| 517 | self.calc_thread.ready(2.5) |
---|
| 518 | |
---|
[d89f09b] | 519 | except: |
---|
[89032bf] | 520 | #raise |
---|
[d89f09b] | 521 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value)) |
---|
| 522 | return |
---|
[3b19ac9] | 523 | |
---|
| 524 | |
---|
| 525 | def _onset_engine(self,event): |
---|
| 526 | """ set engine to scipy""" |
---|
| 527 | if self._fit_engine== 'park': |
---|
| 528 | self._on_change_engine('scipy') |
---|
| 529 | else: |
---|
| 530 | self._on_change_engine('park') |
---|
| 531 | wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine)) |
---|
| 532 | |
---|
| 533 | |
---|
[d89f09b] | 534 | def _on_change_engine(self, engine='park'): |
---|
| 535 | """ |
---|
| 536 | Allow to select the type of engine to perform fit |
---|
| 537 | @param engine: the key work of the engine |
---|
| 538 | """ |
---|
| 539 | self._fit_engine = engine |
---|
| 540 | |
---|
| 541 | |
---|
| 542 | def _on_model_panel(self, evt): |
---|
| 543 | """ |
---|
| 544 | react to model selection on any combo box or model menu.plot the model |
---|
| 545 | """ |
---|
[e1a310f] | 546 | |
---|
[d89f09b] | 547 | model = evt.model |
---|
| 548 | name = evt.name |
---|
[32d802f] | 549 | |
---|
[264df67] | 550 | print "name fitting", name |
---|
[94999eb] | 551 | sim_page=self.fit_panel.GetPage(1) |
---|
[d89f09b] | 552 | current_pg = self.fit_panel.get_current_page() |
---|
| 553 | if current_pg != sim_page: |
---|
| 554 | current_pg.set_panel(model) |
---|
[ef8b580] | 555 | #model.name = self.page_finder[current_pg].get_name() |
---|
| 556 | #print "model name", model.name |
---|
| 557 | model.name="M"+str(self.index_model) |
---|
[d89f09b] | 558 | try: |
---|
[bcd6d51] | 559 | metadata=self.page_finder[current_pg].get_data() |
---|
[264df67] | 560 | M_name=model.name+"= "+name+"("+metadata.group_id+")" |
---|
[ef8b580] | 561 | except: |
---|
| 562 | M_name=model.name+"= "+name |
---|
[d89f09b] | 563 | self.index_model += 1 |
---|
[ef8b580] | 564 | |
---|
| 565 | |
---|
[6bcdad1] | 566 | # save model name |
---|
[442895f] | 567 | |
---|
[6bcdad1] | 568 | # save the name containing the data name with the appropriate model |
---|
[1b07935d] | 569 | self.page_finder[current_pg].set_model(model,M_name) |
---|
[d89f09b] | 570 | self.plot_helper(currpage= current_pg,qmin= None,qmax= None) |
---|
| 571 | sim_page.add_model(self.page_finder) |
---|
| 572 | |
---|
[08b9c6c8] | 573 | def set_smearer(self,smearer): |
---|
| 574 | current_pg=self.fit_panel.get_current_page() |
---|
| 575 | self.page_finder[current_pg].set_smearer(smearer) |
---|
| 576 | |
---|
[d89f09b] | 577 | def redraw_model(self,qmin= None,qmax= None): |
---|
| 578 | """ |
---|
| 579 | Draw a theory according to model changes or data range. |
---|
| 580 | @param qmin: the minimum value plotted for theory |
---|
| 581 | @param qmax: the maximum value plotted for theory |
---|
| 582 | """ |
---|
| 583 | current_pg=self.fit_panel.get_current_page() |
---|
| 584 | for page, value in self.page_finder.iteritems(): |
---|
| 585 | if page ==current_pg : |
---|
| 586 | break |
---|
| 587 | self.plot_helper(currpage=page,qmin= qmin,qmax= qmax) |
---|
| 588 | |
---|
[89032bf] | 589 | def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None, |
---|
[4af20b4] | 590 | ymin=None,ymax=None, xmin=None, xmax=None,title=None ): |
---|
[d89f09b] | 591 | """ |
---|
| 592 | Plot a theory given a model and data |
---|
| 593 | @param model: the model from where the theory is derived |
---|
| 594 | @param currpage: page in a dictionary referring to some data |
---|
| 595 | """ |
---|
[26bf293] | 596 | if self.fit_panel.GetPageCount() >1: |
---|
[d89f09b] | 597 | for page in self.page_finder.iterkeys(): |
---|
| 598 | if page==currpage : |
---|
[bcd6d51] | 599 | data=self.page_finder[page].get_data() |
---|
| 600 | list=self.page_finder[page].get_model() |
---|
| 601 | model=list[0] |
---|
[d89f09b] | 602 | break |
---|
[26bf293] | 603 | print "model in fitting",model |
---|
[693ab78] | 604 | if data!=None and data.__class__.__name__ != 'Data2D': |
---|
[d89f09b] | 605 | theory = Theory1D(x=[], y=[]) |
---|
[6bcdad1] | 606 | theory.name = model.name |
---|
[d89f09b] | 607 | theory.group_id = data.group_id |
---|
[ef8b580] | 608 | """ |
---|
[264df67] | 609 | if hasattr(data, "id"): |
---|
| 610 | import string |
---|
| 611 | if string.find("Model",data.id )!=None: |
---|
| 612 | #allow plotting on the same panel |
---|
| 613 | theory.id =str(data.id )+" "+str(self.index_theory) |
---|
| 614 | self.index_theory +=1 |
---|
| 615 | else: |
---|
[ef8b580] | 616 | """ |
---|
| 617 | theory.id = "Model" |
---|
[264df67] | 618 | |
---|
[d89f09b] | 619 | x_name, x_units = data.get_xaxis() |
---|
| 620 | y_name, y_units = data.get_yaxis() |
---|
| 621 | theory.xaxis(x_name, x_units) |
---|
| 622 | theory.yaxis(y_name, y_units) |
---|
| 623 | if qmin == None : |
---|
| 624 | qmin = min(data.x) |
---|
| 625 | if qmax == None : |
---|
[4af20b4] | 626 | qmax = max(data.x) |
---|
[d89f09b] | 627 | try: |
---|
| 628 | tempx = qmin |
---|
[1b07935d] | 629 | tempy = model.run(qmin) |
---|
[d89f09b] | 630 | theory.x.append(tempx) |
---|
| 631 | theory.y.append(tempy) |
---|
| 632 | except : |
---|
| 633 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
| 634 | skipping point x %g %s" %(qmin, sys.exc_value))) |
---|
| 635 | |
---|
| 636 | for i in range(len(data.x)): |
---|
| 637 | try: |
---|
[bd82069] | 638 | if data.x[i]> qmin and data.x[i]< qmax: # 1d fit range |
---|
[d89f09b] | 639 | tempx = data.x[i] |
---|
[1b07935d] | 640 | tempy = model.run(tempx) |
---|
[d89f09b] | 641 | theory.x.append(tempx) |
---|
| 642 | theory.y.append(tempy) |
---|
[04edd0d] | 643 | |
---|
[d89f09b] | 644 | except: |
---|
| 645 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
| 646 | skipping point x %g %s" %(data.x[i], sys.exc_value))) |
---|
| 647 | try: |
---|
| 648 | tempx = qmax |
---|
[1b07935d] | 649 | tempy = model.run(qmax) |
---|
[d89f09b] | 650 | theory.x.append(tempx) |
---|
| 651 | theory.y.append(tempy) |
---|
| 652 | except: |
---|
[00561739] | 653 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
[32d802f] | 654 | skipping point x %g %s" %(qmin, sys.exc_value)) ) |
---|
| 655 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
| 656 | title=str(data.name))) |
---|
[6f73a08] | 657 | else: |
---|
[89032bf] | 658 | |
---|
[dc317d1] | 659 | theory=Data2D(data.data, data.err_data) |
---|
[6bcdad1] | 660 | theory.name= model.name |
---|
[89032bf] | 661 | if title !=None: |
---|
| 662 | self.title = title |
---|
| 663 | theory.id= self.title |
---|
| 664 | theory.group_id= self.title+data.name |
---|
| 665 | else: |
---|
| 666 | self.title= "Analytical model 2D " |
---|
| 667 | theory.id= "Model" |
---|
| 668 | theory.group_id= "Model"+data.name |
---|
[6f73a08] | 669 | theory.x_bins= data.x_bins |
---|
| 670 | theory.y_bins= data.y_bins |
---|
| 671 | tempy=[] |
---|
[22210ef] | 672 | #print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin) |
---|
[17fc6f8] | 673 | if qmin==None: |
---|
[bd82069] | 674 | qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin)) |
---|
[17fc6f8] | 675 | if qmax==None: |
---|
[4af20b4] | 676 | qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/ |
---|
| 677 | +math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2)) |
---|
[17fc6f8] | 678 | if ymin==None: |
---|
| 679 | ymin=data.ymin |
---|
| 680 | if ymax==None: |
---|
| 681 | ymax=data.ymax |
---|
[4af20b4] | 682 | if xmin ==None: |
---|
| 683 | xmin=data.xmin |
---|
| 684 | if xmax==None: |
---|
| 685 | xmax=data.xmax |
---|
[888e62c] | 686 | #print " q range =", |
---|
[57668f8] | 687 | theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins))) |
---|
[4af20b4] | 688 | for j in range(len(data.y_bins)): |
---|
| 689 | for i in range(len(data.x_bins)): |
---|
| 690 | tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2))) |
---|
[bd82069] | 691 | if tempqij>= qmin and tempqij<= qmax: |
---|
| 692 | theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]]) |
---|
| 693 | else: |
---|
| 694 | theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better. |
---|
[a69e233] | 695 | #print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),i,j |
---|
[44bbf6a] | 696 | #print "fitting : plot_helper:", theory.image |
---|
[2dbb681] | 697 | #print "fitting : plot_helper:",theory.image |
---|
[1f62278] | 698 | theory.detector= data.detector |
---|
| 699 | theory.source= data.source |
---|
[22210ef] | 700 | |
---|
[d0eac66] | 701 | theory.qmin= qmin |
---|
| 702 | theory.qmax= qmax |
---|
[4274c0e] | 703 | theory.ymin= ymin |
---|
| 704 | theory.ymax= ymax |
---|
[d0eac66] | 705 | theory.xmin= xmin |
---|
| 706 | theory.xmax= xmax |
---|
[04edd0d] | 707 | |
---|
[32d802f] | 708 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
[89032bf] | 709 | title=self.title +str(data.name))) |
---|
[6f73a08] | 710 | |
---|
| 711 | |
---|
[d89f09b] | 712 | def _on_model_menu(self, evt): |
---|
| 713 | """ |
---|
| 714 | Plot a theory from a model selected from the menu |
---|
| 715 | """ |
---|
[86c1832] | 716 | name = evt.model.__name__ |
---|
| 717 | if hasattr(evt.model, "name"): |
---|
| 718 | name = evt.model.name |
---|
[32d802f] | 719 | print "on model menu", name |
---|
[b2c3225] | 720 | model=evt.model() |
---|
[2dbb681] | 721 | description=model.description |
---|
[3dc83be] | 722 | |
---|
| 723 | # Create a model page. If a new page is created, the model |
---|
| 724 | # will be plotted automatically. If a page already exists, |
---|
| 725 | # the content will be updated and the plot refreshed |
---|
| 726 | self.fit_panel.add_model_page(model,description,name,topmenu=True) |
---|
[1b07935d] | 727 | |
---|
[26bf293] | 728 | def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False, |
---|
[cfc68540] | 729 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
[3b19ac9] | 730 | """ |
---|
| 731 | draw model with default data value |
---|
| 732 | """ |
---|
[26bf293] | 733 | if data !=None: |
---|
| 734 | self.redraw_model(qmin,qmax) |
---|
| 735 | return |
---|
[d74d751] | 736 | self._draw_model2D(model=model, |
---|
| 737 | description=model.description, |
---|
| 738 | enable2D= enable2D, |
---|
| 739 | qmin=qmin, |
---|
| 740 | qmax=qmax, |
---|
[c48a26a] | 741 | qstep=qstep) |
---|
[86c1832] | 742 | self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep) |
---|
[cfc68540] | 743 | |
---|
| 744 | def _draw_model1D(self,model,name,description=None, enable1D=True, |
---|
| 745 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
[e5a9e32] | 746 | |
---|
[d250f7d] | 747 | if enable1D: |
---|
[d15c0202] | 748 | x= numpy.linspace(start= qmin, |
---|
| 749 | stop= qmax, |
---|
| 750 | num= qstep, |
---|
| 751 | endpoint=True |
---|
| 752 | ) |
---|
[f39511b] | 753 | xlen= len(x) |
---|
| 754 | y = numpy.zeros(xlen) |
---|
[d250f7d] | 755 | if not enable1D: |
---|
[f39511b] | 756 | for i in range(xlen): |
---|
| 757 | y[i] = model.run(x[i]) |
---|
[d15c0202] | 758 | |
---|
[f39511b] | 759 | try: |
---|
| 760 | new_plot = Theory1D(x, y) |
---|
[32d802f] | 761 | |
---|
[86c1832] | 762 | new_plot.name = name |
---|
[f39511b] | 763 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 764 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
[6bcdad1] | 765 | new_plot.id = "Model" |
---|
| 766 | new_plot.group_id ="Model" |
---|
[f39511b] | 767 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D")) |
---|
| 768 | except: |
---|
[32d802f] | 769 | wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value)) |
---|
| 770 | #raise |
---|
[f39511b] | 771 | else: |
---|
| 772 | for i in range(xlen): |
---|
| 773 | y[i] = model.run(x[i]) |
---|
[d15c0202] | 774 | #print x, y |
---|
[f39511b] | 775 | try: |
---|
| 776 | new_plot = Theory1D(x, y) |
---|
[32d802f] | 777 | print "draw model 1D", name |
---|
[86c1832] | 778 | new_plot.name = name |
---|
[f39511b] | 779 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 780 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
[6bcdad1] | 781 | new_plot.id ="Model" |
---|
| 782 | new_plot.group_id ="Model" |
---|
[3dc83be] | 783 | |
---|
| 784 | # Pass the reset flag to let the plotting event handler |
---|
| 785 | # know that we are replacing the whole plot |
---|
[6bcdad1] | 786 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
[3dc83be] | 787 | title="Analytical model 1D ", reset=True )) |
---|
[f39511b] | 788 | |
---|
| 789 | except: |
---|
[32d802f] | 790 | #raise |
---|
| 791 | wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value)) |
---|
[e9b4cc4] | 792 | def update(self, output,time): |
---|
| 793 | pass |
---|
[20be946] | 794 | |
---|
[b2c6d23] | 795 | def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS): |
---|
[26bf293] | 796 | |
---|
[20be946] | 797 | wx.PostEvent(self.parent, StatusEvent(status="Calc \ |
---|
| 798 | complete in %g sec" % elapsed)) |
---|
[d15c0202] | 799 | #print "complete",output, model,qmin, qmax |
---|
[20be946] | 800 | data = output |
---|
[13e120a] | 801 | temp= numpy.zeros(numpy.shape(data)) |
---|
| 802 | temp[temp==0]=1 |
---|
| 803 | theory= Data2D(image=data, err_image=temp) |
---|
| 804 | |
---|
[d15c0202] | 805 | from DataLoader.data_info import Detector, Source |
---|
| 806 | |
---|
| 807 | detector = Detector() |
---|
| 808 | theory.detector=[] |
---|
[7b758fd] | 809 | theory.detector.append(detector) |
---|
[d15c0202] | 810 | |
---|
[ac2cc940] | 811 | theory.detector[0].distance=1e+32#13705.0 |
---|
[d15c0202] | 812 | theory.source= Source() |
---|
[ac2cc940] | 813 | theory.source.wavelength=2*math.pi/1e+32#8.4 |
---|
[13e120a] | 814 | theory.x_bins =[] |
---|
| 815 | theory.y_bins =[] |
---|
[ac2cc940] | 816 | #Now qmax is xmax. |
---|
| 817 | xmax=2*theory.detector[0].distance*math.atan(qmax/(4*math.pi/theory.source.wavelength)) |
---|
| 818 | theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0 |
---|
| 819 | theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0 |
---|
| 820 | theory.detector[0].beam_center.x= qmax |
---|
| 821 | theory.detector[0].beam_center.y= qmax |
---|
| 822 | #print "xmax,qmax",xmax,qmax |
---|
[13e120a] | 823 | # compute x_bins and y_bins |
---|
| 824 | # Qx and Qy vectors |
---|
| 825 | |
---|
| 826 | distance = theory.detector[0].distance |
---|
| 827 | pixel = qstep/2-1 |
---|
[7b758fd] | 828 | theta = pixel / distance / qstep#100.0 |
---|
[13e120a] | 829 | wavelength = theory.source.wavelength |
---|
| 830 | pixel_width_x = theory.detector[0].pixel_size.x |
---|
| 831 | pixel_width_y = theory.detector[0].pixel_size.y |
---|
| 832 | center_x = theory.detector[0].beam_center.x/pixel_width_x |
---|
| 833 | center_y = theory.detector[0].beam_center.y/pixel_width_y |
---|
[d15c0202] | 834 | |
---|
[13e120a] | 835 | |
---|
| 836 | size_x, size_y= numpy.shape(theory.data) |
---|
[ac2cc940] | 837 | #print "size_x,size_y",size_x, size_y |
---|
[7b758fd] | 838 | #This case, q and x are equivalent to each other. |
---|
[13e120a] | 839 | for i_x in range(size_x): |
---|
[ac2cc940] | 840 | theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0 |
---|
| 841 | qx = 4.0*math.pi/wavelength * math.tan(theta/2.0) |
---|
[13e120a] | 842 | theory.x_bins.append(qx) |
---|
| 843 | for i_y in range(size_y): |
---|
[ac2cc940] | 844 | theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0 |
---|
| 845 | qy =4.0*math.pi/wavelength * math.tan(theta/2.0) |
---|
[13e120a] | 846 | theory.y_bins.append(qy) |
---|
| 847 | |
---|
| 848 | #theory.err_data= numpy. |
---|
[20be946] | 849 | theory.name= model.name |
---|
| 850 | theory.group_id ="Model" |
---|
| 851 | theory.id ="Model" |
---|
[22210ef] | 852 | |
---|
| 853 | |
---|
| 854 | |
---|
[7b758fd] | 855 | theory.xmin= -qmax/math.sqrt(2) |
---|
| 856 | theory.xmax= qmax/math.sqrt(2) |
---|
| 857 | theory.ymin= -qmax/math.sqrt(2) |
---|
| 858 | theory.ymax= qmax/math.sqrt(2) |
---|
[b2c6d23] | 859 | |
---|
[89032bf] | 860 | print "model draw comptele xmax",theory.xmax,model.name |
---|
[20be946] | 861 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
[32d802f] | 862 | title="Analytical model 2D ", reset=True )) |
---|
[20be946] | 863 | |
---|
| 864 | |
---|
| 865 | |
---|
[cfc68540] | 866 | def _draw_model2D(self,model,description=None, enable2D=False, |
---|
| 867 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
---|
[d15c0202] | 868 | |
---|
| 869 | x= numpy.linspace(start= -1*qmax, |
---|
| 870 | stop= qmax, |
---|
| 871 | num= qstep, |
---|
| 872 | endpoint=True ) |
---|
| 873 | y = numpy.linspace(start= -1*qmax, |
---|
| 874 | stop= qmax, |
---|
| 875 | num= qstep, |
---|
| 876 | endpoint=True ) |
---|
| 877 | |
---|
[dc317d1] | 878 | lx = len(x) |
---|
[1c5b068] | 879 | #print x |
---|
[dc317d1] | 880 | data=numpy.zeros([len(x),len(y)]) |
---|
[20be946] | 881 | self.model= model |
---|
[dc317d1] | 882 | if enable2D: |
---|
[9dd69ec] | 883 | from sans.guiframe.model_thread import Calc2D |
---|
[d15c0202] | 884 | self.calc_thread = Calc2D(parent =self.parent,x=x, |
---|
| 885 | y=y,model= self.model, |
---|
| 886 | qmin=qmin, |
---|
| 887 | qmax=qmax, |
---|
[b2c6d23] | 888 | qstep=qstep, |
---|
[20be946] | 889 | completefn=self.complete, |
---|
[e9b4cc4] | 890 | updatefn=None) |
---|
[20be946] | 891 | self.calc_thread.queue() |
---|
| 892 | self.calc_thread.ready(2.5) |
---|
[89032bf] | 893 | |
---|
| 894 | def show_panel2D(self, id=None ): |
---|
[32d802f] | 895 | self.parent.show_panel(self.model2D_id) |
---|
[20be946] | 896 | |
---|
[db709e4] | 897 | |
---|
[d89f09b] | 898 | if __name__ == "__main__": |
---|
| 899 | i = Plugin() |
---|
| 900 | |
---|
| 901 | |
---|
| 902 | |
---|
| 903 | |
---|