fitting.py @ 3595bb7f

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 3595bb7f was a1100c07, checked in by Gervaise Alina <gervyh@…>, 15 years ago
fix model plot update
Property mode set to `100644`
File size: 48.6 KB

Line
1	"""
2	This software was developed by the University of Tennessee as part of the
3	Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
4	project funded by the US National Science Foundation.
5
6	See the license text in license.txt
7
8	copyright 2009, University of Tennessee
9	"""
10	import re,copy
11	import sys, wx, logging
12	import string, numpy, math
13	import time
14	import thread
15	#from danse.common.plottools.plottables import Theory1D
16	from danse.common.plottools.PlotPanel import PlotPanel
17
18	from sans.guiframe.dataFitting import Data2D
19	from sans.guiframe.dataFitting import Data1D
20	from sans.guiframe.dataFitting import Theory1D
21	from sans.guiframe import dataFitting
22
23	from sans.guicomm.events import NewPlotEvent, StatusEvent
24	from sans.guicomm.events import EVT_SLICER_PANEL,ERR_DATA,EVT_REMOVE_DATA
25	from sans.guicomm.events import EVT_SLICER_PARS_UPDATE
26
27	from sans.fit.AbstractFitEngine import Model
28	from sans.fit.AbstractFitEngine import FitAbort
29
30
31	from fitproblem import FitProblem
32	from fitpanel import FitPanel
33	from fit_thread import FitThread
34	import models
35	import fitpage
36
37	DEFAULT_BEAM = 0.005
38	DEFAULT_QMIN = 0.001
39	DEFAULT_QMAX = 0.13
40	DEFAULT_NPTS = 50
41
42	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
43
44
45	class PlotInfo:
46	"""
47	store some plotting field
48	"""
49	_xunit = 'A^{-1}'
50	_xaxis= "\\rm{Q}"
51	_yunit = "cm^{-1}"
52	_yaxis= "\\rm{Intensity} "
53	id = "Model"
54	group_id = "Model"
55	title= None
56	info= None
57
58
59	class Plugin:
60	"""
61	Fitting plugin is used to perform fit
62	"""
63	def __init__(self):
64	## Plug-in name
65	self.sub_menu = "Fitting"
66
67	## Reference to the parent window
68	self.parent = None
69	#Provide list of models existing in the application
70	self.menu_mng = models.ModelManager()
71	## List of panels for the simulation perspective (names)
72	self.perspective = []
73	#list of panel to send to guiframe
74	self.mypanels=[]
75	# reference to the current running thread
76	self.calc_2D= None
77	self.calc_1D= None
78	self.calc_fit= None
79
80	# Start with a good default
81	self.elapsed = 0.022
82	# the type of optimizer selected, park or scipy
83	self.fitter = None
84	#Flag to let the plug-in know that it is running stand alone
85	self.standalone=True
86	## dictionary of page closed and id
87	self.closed_page_dict ={}
88	## Fit engine
89	self._fit_engine = 'scipy'
90	#List of selected data
91	self.selected_data_list=[]
92	## list of slicer panel created to display slicer parameters and results
93	self.slicer_panels=[]
94	# Log startup
95	logging.info("Fitting plug-in started")
96	# model 2D view
97	self.model2D_id=None
98	#keep reference of the simultaneous fit page
99	self.sim_page=None
100	#dictionary containing data name and error on dy of that data
101	self.err_dy={}
102
103
104
105	def populate_menu(self, id, owner):
106	"""
107	Create a menu for the Fitting plug-in
108	@param id: id to create a menu
109	@param owner: owner of menu
110	@ return : list of information to populate the main menu
111	"""
112	#Menu for fitting
113	self.menu1 = wx.Menu()
114
115	#Set park engine
116	id3 = wx.NewId()
117	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
118	self.menu1.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
119	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
120
121	id3 = wx.NewId()
122	park_help = "Park Engine: Perform Complex fit. More in Help window...."
123	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
124	wx.EVT_MENU(owner, id3, self._onset_engine_park)
125
126	self.menu1.FindItemByPosition(0).Check(True)
127	self.menu1.FindItemByPosition(1).Check(False)
128
129	self.menu1.AppendSeparator()
130	id1 = wx.NewId()
131	simul_help = "Allow to edit fit engine with multiple model and data"
132	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
133	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
134	#menu for SLD Calculator
135	#self.tool_menu = wx.Menu()
136	#id_tool_menu = wx.NewId()
137	#sld_id = wx.NewId()
138	#sld_help= "Compute the scattering length density of molecules"
139	#self.tool_menu.Append(sld_id, "SLD Calculator",sld_help)
140	#wx.EVT_MENU(owner,sld_id, self.onCalculateSld)
141
142	#menu for model
143	menu2 = wx.Menu()
144	self.menu_mng.populate_menu(menu2, owner)
145	id2 = wx.NewId()
146	owner.Bind(models.EVT_MODEL,self._on_model_menu)
147
148	self.fit_panel.set_owner(owner)
149	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
150	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
151
152	#create menubar items
153	return [(id, self.menu1, "Fitting"),
154	(id2, menu2, "Model")]
155
156
157	def on_add_sim_page(self, event):
158	"""
159	Create a page to access simultaneous fit option
160	"""
161	Plugin.on_perspective(self,event=event)
162	if self.sim_page !=None:
163	msg= "Simultaneous Fit page already opened"
164	wx.PostEvent(self.parent, StatusEvent(status= msg))
165	return
166
167	self.sim_page= self.fit_panel.add_sim_page()
168
169
170
171	def help(self, evt):
172	"""
173	Show a general help dialog.
174	TODO: replace the text with a nice image
175	"""
176	from helpPanel import HelpWindow
177	frame = HelpWindow(None, -1, 'HelpWindow')
178	frame.Show(True)
179
180
181	def get_context_menu(self, graph=None):
182	"""
183	Get the context menu items available for P(r)
184	@param graph: the Graph object to which we attach the context menu
185	@return: a list of menu items with call-back function
186	"""
187	#TODO: clean this up so that the string are not copied
188	# multiple times.
189	self.graph=graph
190
191	for item in graph.plottables:
192	if item.__class__.__name__ is "Data2D":
193
194	if hasattr(item,"is_data"):
195	if item.is_data:
196	return [["Select data for fitting", \
197	"Dialog with fitting parameters ", self._onSelect]]
198	else:
199	return []
200	return [["Select data for fitting",\
201	"Dialog with fitting parameters ", self._onSelect]]
202	else:
203	if item.name==graph.selected_plottable :
204	if item.name !="$I_{obs}(q)$" and item.name !="$P_{fit}(r)$":
205	if hasattr(item, "group_id"):
206	if hasattr(item,"is_data"):
207	if item.is_data:
208	return [["Select data for fitting", \
209	"Dialog with fitting parameters ", self._onSelect]]
210	else:
211	return []
212	else:
213	return [["Select data for fitting", \
214	"Dialog with fitting parameters ", self._onSelect]]
215	return []
216
217
218	def get_panels(self, parent):
219	"""
220	Create and return a list of panel objects
221	"""
222	self.parent = parent
223	# Creation of the fit panel
224	self.fit_panel = FitPanel(self.parent, -1)
225	#Set the manager for the main panel
226	self.fit_panel.set_manager(self)
227	# List of windows used for the perspective
228	self.perspective = []
229	self.perspective.append(self.fit_panel.window_name)
230	# take care of saving data, model and page associated with each other
231	self.page_finder = {}
232	#index number to create random model name
233	self.index_model = 0
234	self.index_theory= 0
235	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
236	self.parent.Bind( ERR_DATA, self._on_data_error)
237	self.parent.Bind(EVT_REMOVE_DATA, self._closed_fitpage)
238	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
239	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
240
241
242	#Send the fitting panel to guiframe
243	self.mypanels.append(self.fit_panel)
244	return self.mypanels
245
246
247
248	def get_perspective(self):
249	"""
250	Get the list of panel names for this perspective
251	"""
252	return self.perspective
253
254
255	def on_perspective(self, event):
256	"""
257	Call back function for the perspective menu item.
258	We notify the parent window that the perspective
259	has changed.
260	"""
261	self.parent.set_perspective(self.perspective)
262
263
264	def post_init(self):
265	"""
266	Post initialization call back to close the loose ends
267	"""
268	# Do not show the fitting perspective immediately and
269	# let the application show the Welcome Page.
270	#self.parent.set_perspective(self.perspective)
271	pass
272
273
274	def copy_data(self, item, dy=None):
275	"""
276	receive a data 1D and the list of errors on dy
277	and create a new data1D data
278	@param return
279	"""
280	id=None
281	if hasattr(item,"id"):
282	id = copy.deepcopy(item.id)
283
284	data= Data1D(x=item.x, y=item.y,dx=None, dy=None)
285	data.copy_from_datainfo(item)
286	item.clone_without_data(clone=data)
287	data.dy=dy
288	data.name = item.name
289	## allow to highlight data when plotted
290	data.interactive = copy.deepcopy(item.interactive)
291	## when 2 data have the same id override the 1 st plotted
292	data.id = id
293	data.group_id = item.group_id
294	return data
295
296	def set_fit_range(self, page, qmin, qmax):
297	"""
298	Set the fitting range of a given page
299	"""
300	if page in self.page_finder.iterkeys():
301	fitproblem= self.page_finder[page]
302	fitproblem.set_range(qmin= qmin, qmax= qmax)
303
304	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
305	"""
306	Set the fit problem field to 0 or 1 to schedule that problem to fit.
307	Schedule the specified fitproblem or get the fit problem related to
308	the current page and set value.
309	@param value : integer 0 or 1
310	@param fitproblem: fitproblem to schedule or not to fit
311	"""
312	if fitproblem !=None:
313	fitproblem.schedule_tofit(value)
314	else:
315	if page in self.page_finder.iterkeys():
316	fitproblem= self.page_finder[page]
317	fitproblem.schedule_tofit(value)
318
319
320
321	def get_page_finder(self):
322	""" @return self.page_finder used also by simfitpage.py"""
323	return self.page_finder
324
325
326	def set_page_finder(self,modelname,names,values):
327	"""
328	Used by simfitpage.py to reset a parameter given the string constrainst.
329	@param modelname: the name ot the model for with the parameter has to reset
330	@param value: can be a string in this case.
331	@param names: the paramter name
332	@note: expecting park used for fit.
333	"""
334	sim_page= self.sim_page
335	for page, value in self.page_finder.iteritems():
336	if page != sim_page:
337	list=value.get_model()
338	model = list[0]
339	if model.name== modelname:
340	value.set_model_param(names,values)
341	break
342
343
344
345	def split_string(self,item):
346	"""
347	receive a word containing dot and split it. used to split parameterset
348	name into model name and parameter name example:
349	paramaterset (item) = M1.A
350	@return model_name =M1 , parameter name =A
351	"""
352	if string.find(item,".")!=-1:
353	param_names= re.split("\.",item)
354	model_name=param_names[0]
355	param_name=param_names[1]
356	return model_name,param_name
357
358
359	def stop_fit(self):
360	"""
361	Stop the fit engine
362	"""
363	if self.calc_fit!= None and self.calc_fit.isrunning():
364	self.calc_fit.stop()
365	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
366	is cancelled" , type="stop"))
367
368
369
370	def set_smearer(self,smearer, qmin=None, qmax=None):
371	"""
372	Get a smear object and store it to a fit problem
373	@param smearer: smear object to allow smearing data
374	"""
375	current_pg=self.fit_panel.get_current_page()
376	self.page_finder[current_pg].set_smearer(smearer)
377	## draw model 1D with smeared data
378	data = self.page_finder[current_pg].get_plotted_data()
379	model = self.page_finder[current_pg].get_model()
380	## if user has already selected a model to plot
381	## redraw the model with data smeared
382
383	smear =self.page_finder[current_pg].get_smearer()
384	if model!= None:
385	self.draw_model( model=model, data= data, smearer= smear,
386	qmin= qmin, qmax= qmax)
387
388
389
390	def draw_model(self, model, data= None,smearer= None,
391	enable1D= True, enable2D= False,
392	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
393	"""
394	Draw model.
395	@param model: the model to draw
396	@param name: the name of the model to draw
397	@param data: the data on which the model is based to be drawn
398	@param description: model's description
399	@param enable1D: if true enable drawing model 1D
400	@param enable2D: if true enable drawing model 2D
401	@param qmin: Range's minimum value to draw model
402	@param qmax: Range's maximum value to draw model
403	@param qstep: number of step to divide the x and y-axis
404
405	"""
406	## draw model 1D with no loaded data
407	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
408	qmin= qmin, qmax= qmax, qstep= qstep )
409	## draw model 2D with no initial data
410	self._draw_model2D(model=model,
411	data = data,
412	enable2D= enable2D,
413	qmin=qmin,
414	qmax=qmax,
415	qstep=qstep)
416
417
418
419	def onFit(self):
420	"""
421	perform fit
422	"""
423	## count the number of fitproblem schedule to fit
424	fitproblem_count= 0
425	for value in self.page_finder.itervalues():
426	if value.get_scheduled()==1:
427	fitproblem_count += 1
428
429	## if simultaneous fit change automatically the engine to park
430	if fitproblem_count >1:
431	self._on_change_engine(engine='park')
432
433	from sans.fit.Fitting import Fit
434	self.fitter= Fit(self._fit_engine)
435
436	if self._fit_engine=="park":
437	engineType="Simultaneous Fit"
438	else:
439	engineType="Single Fit"
440
441	fproblemId = 0
442	current_pg=None
443	for page, value in self.page_finder.iteritems():
444	try:
445	if value.get_scheduled()==1:
446	#Get list of parameters name to fit
447	pars = []
448	templist = []
449	templist = page.get_param_list()
450	for element in templist:
451	name = str(element[1])
452	pars.append(name)
453	#Set Engine (model , data) related to the page on
454	self._fit_helper( current_pg=page, value=value,pars=pars,
455	id=fproblemId, title= engineType )
456	fproblemId += 1
457	current_pg= page
458	except:
459	msg= "%s error: %s" % (engineType,sys.exc_value)
460	wx.PostEvent(self.parent, StatusEvent(status= msg ))
461	return
462	#Do the simultaneous fit
463	try:
464	## If a thread is already started, stop it
465	if self.calc_fit!= None and self.calc_fit.isrunning():
466	self.calc_fit.stop()
467
468	wx.PostEvent(self.parent, StatusEvent(status="Start the computation",
469	curr_thread=self.calc_fit,type="start"))
470	wx.PostEvent(self.parent, StatusEvent(status="Computing...",
471	curr_thread=self.calc_fit,type="progress"))
472	## perform single fit
473	if self._fit_engine=="scipy":
474	qmin, qmax= current_pg.get_range()
475	self.calc_fit=FitThread(parent =self.parent,
476	fn= self.fitter,
477	cpage=current_pg,
478	pars= pars,
479	completefn= self._single_fit_completed,
480	updatefn=self._updateFit)
481
482	else:
483	## Perform more than 1 fit at the time
484	self.calc_fit=FitThread(parent =self.parent,
485	fn= self.fitter,
486	completefn= self._simul_fit_completed,
487	updatefn=self._updateFit)
488	self.calc_fit.queue()
489	self.calc_fit.ready(2.5)
490
491	except FitAbort:
492	print "in pluging"
493	except:
494	msg= "%s error: %s" % (engineType,sys.exc_value)
495	wx.PostEvent(self.parent, StatusEvent(status= msg ,type="stop"))
496	return
497
498	def onCalculateSld(self, event):
499	"""
500	Compute the scattering length density of molecula
501	"""
502	from sldPanel import SldWindow
503	frame = SldWindow(base=self.parent)
504	frame.Show(True)
505
506
507	def _onEVT_SLICER_PANEL(self, event):
508	"""
509	receive and event telling to update a panel with a name starting with
510	event.panel_name. this method update slicer panel for a given interactor.
511	@param event: contains type of slicer , paramaters for updating the panel
512	and panel_name to find the slicer 's panel concerned.
513	"""
514
515	for item in self.parent.panels:
516	if self.parent.panels[item].window_caption.startswith(event.panel_name):
517	self.parent.panels[item].set_slicer(event.type, event.params)
518
519	self.parent._mgr.Update()
520
521
522
523	def _closed_fitpage(self, event):
524	"""
525	request fitpanel to close a given page when its unique data is removed
526	from the plot
527	"""
528	self.fit_panel._close_fitpage(event.data)
529
530
531	def _add_page_onmenu(self, name,fitproblem=None):
532	"""
533	Add name of a closed page of fitpanel in a menu
534	"""
535	list = self.menu1.GetMenuItems()
536	for item in list:
537	if name == item.GetItemLabel():
538	self.closed_page_dict[name][1] = fitproblem
539
540	if not name in self.closed_page_dict.keys():
541	# Post paramters
542	event_id = wx.NewId()
543	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
544	self.closed_page_dict[name]= [event_id, fitproblem]
545	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
546
547
548	def _open_closed_page(self, event):
549	"""
550	reopen a closed page
551	"""
552	for name, value in self.closed_page_dict.iteritems():
553	if event.GetId() in value:
554	id,fitproblem = value
555	if name !="Model":
556	data= fitproblem.get_fit_data()
557	page = self.fit_panel.add_fit_page(data= data,reset=True)
558	if fitproblem != None:
559	self.page_finder[page]=fitproblem
560	if self.sim_page != None:
561	self.sim_page.draw_page()
562
563	else:
564	model = fitproblem
565	self.fit_panel.add_model_page(model=model, topmenu=True,
566	reset= True)
567	break
568
569
570	def _reset_schedule_problem(self, value=0):
571	"""
572	unschedule or schedule all fitproblem to be fit
573	"""
574	for page, fitproblem in self.page_finder.iteritems():
575	fitproblem.schedule_tofit(value)
576
577	def _fit_helper(self,current_pg,pars,value, id, title="Single Fit " ):
578	"""
579	helper for fitting
580	"""
581	metadata = value.get_fit_data()
582	model = value.get_model()
583	smearer = value.get_smearer()
584	qmin , qmax = value.get_range()
585	self.fit_id =id
586	#Create list of parameters for fitting used
587	templist=[]
588	pars=pars
589	try:
590	## create a park model and reset parameter value if constraint
591	## is given
592	new_model = Model(model)
593	param = value.get_model_param()
594	if len(param)>0:
595	for item in param:
596	param_value = item[1]
597	param_name = item[0]
598	## check if constraint
599	if param_value !=None and param_name != None:
600	new_model.parameterset[ param_name].set( param_value )
601
602	#Do the single fit
603	self.fitter.set_model(new_model, self.fit_id, pars)
604
605	self.fitter.set_data(data=metadata,Uid=self.fit_id,
606	smearer=smearer,qmin= qmin,qmax=qmax )
607
608	self.fitter.select_problem_for_fit(Uid= self.fit_id,
609	value= value.get_scheduled())
610	value.clear_model_param()
611	except:
612	msg= title +" error: %s" % sys.exc_value
613	wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
614	return
615
616	def _onSelect(self,event):
617	"""
618	when Select data to fit a new page is created .Its reference is
619	added to self.page_finder
620	"""
621	self.panel = event.GetEventObject()
622	Plugin.on_perspective(self,event=event)
623	for plottable in self.panel.graph.plottables:
624	if plottable.name == self.panel.graph.selected_plottable:
625	#if not hasattr(plottable, "is_data"):
626
627	if plottable.__class__.__name__=="Theory1D":
628	dy=numpy.zeros(len(plottable.y))
629	if hasattr(plottable, "dy"):
630	dy= copy.deepcopy(plottable.dy)
631
632	item= self.copy_data(plottable, dy)
633	item.group_id += "data1D"
634	item.id +="data1D"
635	item.is_data= False
636	title = item.name
637	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
638	else:
639	item= self.copy_data(plottable, plottable.dy)
640	item.is_data=True
641
642	## put the errors values back to the model if the errors were hiden
643	## before sending them to the fit engine
644	if len(self.err_dy)>0:
645	if item.name in self.err_dy.iterkeys():
646	dy= self.err_dy[item.name]
647	data= self.copy_data(item, dy)
648	data.is_data= item.is_data
649	else:
650	data= self.copy_data(item, item.dy)
651	data.is_data= item.is_data
652
653
654	else:
655	if item.dy==None:
656	dy= numpy.zeros(len(item.y))
657	data= self.copy_data(item, dy)
658	data.is_data=item.is_data
659	else:
660	data= self.copy_data(item,item.dy)
661	data.is_data=item.is_data
662
663	else:
664	if plottable.__class__.__name__ !="Data2D":
665	return
666	## Data2D case
667	if not hasattr(plottable, "is_data"):
668	item= copy.deepcopy(plottable)
669	item.group_id += "data2D"
670	item.id +="data2D"
671	item.is_data= False
672	title = item.name
673	title += " Fit"
674	data = item
675	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
676	else:
677	item= copy.deepcopy(plottable )
678	data= copy.deepcopy(plottable )
679	item.is_data=True
680	data.is_data=True
681
682
683	## create anew page
684	if item.name == self.panel.graph.selected_plottable or\
685	item.__class__.__name__ is "Data2D":
686	try:
687	page = self.fit_panel.add_fit_page(data)
688	# add data associated to the page created
689	if page !=None:
690	#create a fitproblem storing all link to data,model,page creation
691	if not page in self.page_finder.keys():
692	self.page_finder[page]= FitProblem()
693	## item is almost the same as data but contains
694	## axis info for plotting
695	self.page_finder[page].add_plotted_data(item)
696	self.page_finder[page].add_fit_data(data)
697
698	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
699	else:
700	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
701	except:
702	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
703	%sys.exc_value))
704	return
705
706
707	def _updateFit(self):
708	"""
709	Is called when values of result are available
710	"""
711	##Sending a progess message to the status bar
712	wx.PostEvent(self.parent, StatusEvent(status="Computing..."))
713
714	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
715	"""
716	Display fit result on one page of the notebook.
717	@param result: result of fit
718	@param pars: list of names of parameters fitted
719	@param current_pg: the page where information will be displayed
720	@param qmin: the minimum value of x to replot the model
721	@param qmax: the maximum value of x to replot model
722
723	"""
724	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
725	complete! " ))
726
727	try:
728	if result ==None:
729	msg= "Simple Fitting Stop !!!"
730	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
731	return
732	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
733	msg= "Single Fitting did not converge!!!"
734	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
735	return
736	for page, value in self.page_finder.iteritems():
737	if page==cpage :
738	model= value.get_model()
739	break
740	i = 0
741	for name in pars:
742	if result.pvec.__class__==numpy.float64:
743	model.setParam(name,result.pvec)
744	else:
745	model.setParam(name,result.pvec[i])
746	i += 1
747	## Reset values of the current page to fit result
748	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
749	## plot the current model with new param
750	metadata = self.page_finder[cpage].get_fit_data()
751	model = self.page_finder[cpage].get_model()
752	qmin, qmax= self.page_finder[cpage].get_range()
753	smearer =self.page_finder[cpage].get_smearer()
754	#Replot models
755	msg= "Single Fit completed. plotting... %s:"%model.name
756	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
757	self.draw_model( model=model, data= metadata, smearer= smearer,
758	qmin= qmin, qmax= qmax)
759	wx.PostEvent(self.parent, StatusEvent(status=" " , type="stop"))
760	except:
761	msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
762	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
763	return
764
765
766	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
767	"""
768	Parameter estimation completed,
769	display the results to the user
770	@param alpha: estimated best alpha
771	@param elapsed: computation time
772	"""
773	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit complete "))
774
775	## fit more than 1 model at the same time
776	try:
777	if result ==None:
778	msg= "Complex Fitting Stop !!!"
779	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
780	return
781	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
782	msg= "Single Fitting did not converge!!!"
783	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
784	return
785	for page, value in self.page_finder.iteritems():
786	if value.get_scheduled()==1:
787	model = value.get_model()
788	metadata = value.get_plotted_data()
789	small_out = []
790	small_cov = []
791	i = 0
792	#Separate result in to data corresponding to each page
793	for p in result.parameters:
794	model_name,param_name = self.split_string(p.name)
795	if model.name == model_name:
796	p_name= model.name+"."+param_name
797	if p.name == p_name:
798	small_out.append(p.value )
799	model.setParam(param_name,p.value)
800
801	small_cov.append(p.stderr)
802	else:
803	value= model.getParam(param_name)
804	small_out.append(value )
805	small_cov.append(None)
806	# Display result on each page
807	page.onsetValues(result.fitness, small_out,small_cov)
808	#Replot models
809	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
810	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
811	qmin, qmax= page.get_range()
812	smearer =self.page_finder[page].get_smearer()
813	self.draw_model( model=model, data= metadata, smearer=smearer,
814	qmin= qmin, qmax= qmax)
815	wx.PostEvent(self.parent, StatusEvent(status="", type="stop"))
816	except:
817	msg= "Simultaneous Fit completed"
818	msg +=" but Following error occurred:%s"%sys.exc_value
819	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
820	return
821
822
823
824	def _on_show_panel(self, event):
825	print "_on_show_panel: fitting"
826
827
828	def _onset_engine_park(self,event):
829	"""
830	set engine to park
831	"""
832	self._on_change_engine('park')
833
834
835	def _onset_engine_scipy(self,event):
836	"""
837	set engine to scipy
838	"""
839	self._on_change_engine('scipy')
840
841	def _on_slicer_event(self, event):
842	"""
843	Receive a panel as event and send it to guiframe
844	@param event: event containing a panel
845	"""
846
847	if event.panel!=None:
848	new_panel = event.panel
849	self.slicer_panels.append(event.panel)
850	# Set group ID if available
851	event_id = self.parent.popup_panel(new_panel)
852	#self.menu3.Append(event_id, new_panel.window_caption,
853	# "Show %s plot panel" % new_panel.window_caption)
854	# Set UID to allow us to reference the panel later
855
856	new_panel.uid = event_id
857	self.mypanels.append(new_panel)
858	return
859
860	def _onclearslicer(self, event):
861	"""
862	Clear the boxslicer when close the panel associate with this slicer
863	"""
864	name =event.GetPane().caption
865
866	for panel in self.slicer_panels:
867	if panel.window_caption==name:
868
869	for item in self.parent.panels:
870	if hasattr(self.parent.panels[item],"uid"):
871	if self.parent.panels[item].uid ==panel.base.uid:
872	self.parent.panels[item].onClearSlicer(event)
873	self.parent._mgr.Update()
874	break
875	break
876
877
878
879
880	def _return_engine_type(self):
881	"""
882	return the current type of engine
883	"""
884	return self._fit_engine
885
886
887	def _on_change_engine(self, engine='park'):
888	"""
889	Allow to select the type of engine to perform fit
890	@param engine: the key work of the engine
891	"""
892	## saving fit engine name
893	self._fit_engine = engine
894	## change menu item state
895	if engine=="park":
896	self.menu1.FindItemByPosition(0).Check(False)
897	self.menu1.FindItemByPosition(1).Check(True)
898	else:
899	self.menu1.FindItemByPosition(0).Check(True)
900	self.menu1.FindItemByPosition(1).Check(False)
901
902	## post a message to status bar
903	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
904
905	## Bind every open fit page with a newevent to know the current fitting engine
906	import fitpage
907	event= fitpage.FitterTypeEvent()
908	event.type = self._fit_engine
909	for key in self.page_finder.keys():
910	wx.PostEvent(key, event)
911
912
913	def _on_model_panel(self, evt):
914	"""
915	react to model selection on any combo box or model menu.plot the model
916	@param evt: wx.combobox event
917	"""
918	model = evt.model
919
920	if model ==None:
921	return
922	model.origin_name = model.name
923	current_pg = self.fit_panel.get_current_page()
924	## make sure nothing is done on self.sim_page
925	## example trying to call set_panel on self.sim_page
926	if current_pg != self.sim_page :
927
928	if self.page_finder[current_pg].get_model()== None :
929
930	model.name="M"+str(self.index_model)
931	self.index_model += 1
932	else:
933	model.name= self.page_finder[current_pg].get_model().name
934
935	metadata = self.page_finder[current_pg].get_plotted_data()
936
937	# save the name containing the data name with the appropriate model
938	self.page_finder[current_pg].set_model(model)
939	qmin, qmax= current_pg.get_range()
940	self.page_finder[current_pg].set_range(qmin=qmin, qmax=qmax)
941	smearer= self.page_finder[current_pg].get_smearer()
942	# save model name
943	self.draw_model( model=model,smearer=smearer,
944	data= metadata, qmin=qmin, qmax=qmax)
945
946	if self.sim_page!=None:
947	self.sim_page.draw_page()
948
949
950
951	def _on_model_menu(self, evt):
952	"""
953	Plot a theory from a model selected from the menu
954	@param evt: wx.menu event
955	"""
956	model = evt.model
957	Plugin.on_perspective(self,event=evt)
958	# Create a model page. If a new page is created, the model
959	# will be plotted automatically. If a page already exists,
960	# the content will be updated and the plot refreshed
961	self.fit_panel.add_model_page(model,topmenu=True)
962
963
964
965
966	def _update1D(self,x, output):
967	"""
968	Update the output of plotting model 1D
969	"""
970	wx.PostEvent(self.parent, StatusEvent(status="Plot \
971	#updating ... ",type="update"))
972	self.calc_thread.ready(0.01)
973
974
975	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
976	"""
977	fill Data2D with default value
978	@param theory: Data2D to fill
979	"""
980	from DataLoader.data_info import Detector, Source
981
982	detector = Detector()
983	theory.detector.append(detector)
984
985	theory.detector[0].distance=1e+32
986	theory.source= Source()
987	theory.source.wavelength=2*math.pi/1e+32
988
989	## Create detector for Model 2D
990	xmax=2theory.detector[0].distancemath.atan(\
991	qmax/(4*math.pi/theory.source.wavelength))
992
993	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
994	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
995	theory.detector[0].beam_center.x= qmax
996	theory.detector[0].beam_center.y= qmax
997	## create x_bins and y_bins of the model 2D
998	distance = theory.detector[0].distance
999	pixel = qstep/2-1
1000	theta = pixel / distance / qstep#100.0
1001	wavelength = theory.source.wavelength
1002	pixel_width_x = theory.detector[0].pixel_size.x
1003	pixel_width_y = theory.detector[0].pixel_size.y
1004	center_x = theory.detector[0].beam_center.x/pixel_width_x
1005	center_y = theory.detector[0].beam_center.y/pixel_width_y
1006
1007
1008	size_x, size_y= numpy.shape(theory.data)
1009	for i_x in range(size_x):
1010	theta = (i_x-center_x)*pixel_width_x / distance
1011	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
1012	theory.x_bins.append(qx)
1013	for i_y in range(size_y):
1014	theta = (i_y-center_y)*pixel_width_y / distance
1015	qy =4.0math.pi/wavelength math.tan(theta/2.0)
1016	theory.y_bins.append(qy)
1017
1018	theory.group_id ="Model"
1019	theory.id ="Model"
1020	## determine plot boundaries
1021	theory.xmin= -qmax
1022	theory.xmax= qmax
1023	theory.ymin= -qmax
1024	theory.ymax= qmax
1025
1026
1027	def _get_plotting_info(self, data=None):
1028	"""
1029	get plotting info from data if data !=None
1030	else use some default
1031	"""
1032	my_info = PlotInfo()
1033	if data !=None:
1034	if hasattr(data,"info"):
1035	x_name, x_units = data.get_xaxis()
1036	y_name, y_units = data.get_yaxis()
1037
1038	my_info._xunit = x_units
1039	my_info._xaxis = x_name
1040	my_info._yunit = y_units
1041	my_info._yaxis = y_name
1042
1043	my_info.title= data.name
1044	if hasattr(data, "info"):
1045	my_info.info= data.info
1046	if hasattr(data, "group_id"):
1047	my_info.group_id= data.group_id
1048
1049	return my_info
1050
1051
1052	def _complete1D(self, x,y, elapsed,model,data=None):
1053	"""
1054	Complete plotting 1D data
1055	"""
1056
1057	try:
1058	new_plot = Theory1D(x=x, y=y)
1059	my_info = self._get_plotting_info( data)
1060	new_plot.name = model.name
1061	new_plot.id = my_info.id
1062	new_plot.group_id = my_info.group_id
1063
1064	new_plot.xaxis( my_info._xaxis, my_info._xunit)
1065	new_plot.yaxis( my_info._yaxis, my_info._yunit)
1066	if data!=None:
1067	if new_plot.id == data.id:
1068	new_plot.id += "Model"
1069	new_plot.is_data =False
1070
1071
1072	title= new_plot.name
1073
1074	# Pass the reset flag to let the plotting event handler
1075	# know that we are replacing the whole plot
1076	if title== None:
1077	title = "Analytical model 1D "
1078	if data ==None:
1079	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1080	title= str(title), reset=True ))
1081	else:
1082	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1083	title= str(title)))
1084	msg = "Plot 1D complete !"
1085	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1086	except:
1087	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
1088	msg+= " %s"%sys.exc_value
1089	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" ))
1090	return
1091
1092
1093
1094	def _update2D(self, output,time=None):
1095	"""
1096	Update the output of plotting model
1097	"""
1098	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1099	#updating ... ",type="update"))
1100	self.calc_thread.ready(0.01)
1101
1102
1103	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
1104	"""
1105	Complete get the result of modelthread and create model 2D
1106	that can be plot.
1107	"""
1108
1109
1110	err_image = numpy.zeros(numpy.shape(image))
1111
1112	theory= Data2D(image= image , err_image= err_image)
1113	theory.name= model.name
1114
1115	if data ==None:
1116	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
1117
1118	else:
1119	theory.id= data.id+"Model"
1120	theory.group_id= data.name+"Model"
1121	theory.x_bins= data.x_bins
1122	theory.y_bins= data.y_bins
1123	theory.detector= data.detector
1124	theory.source= data.source
1125	theory.is_data =False
1126	## plot boundaries
1127	theory.ymin= data.ymin
1128	theory.ymax= data.ymax
1129	theory.xmin= data.xmin
1130	theory.xmax= data.xmax
1131
1132
1133	## plot
1134	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1135	title="Analytical model 2D ", reset=True ))
1136	msg = "Plot 2D complete !"
1137	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1138
1139	def _on_data_error(self, event):
1140	"""
1141	receives and event from plotting plu-gins to store the data name and
1142	their errors of y coordinates for 1Data hide and show error
1143	"""
1144	self.err_dy= event.err_dy
1145
1146
1147	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
1148	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1149	"""
1150	draw model in 2D
1151	@param model: instance of the model to draw
1152	@param description: the description of the model
1153	@param enable2D: when True allows to draw model 2D
1154	@param qmin: the minimum value to draw model 2D
1155	@param qmax: the maximum value to draw model 2D
1156	@param qstep: the number of division of Qx and Qy of the model to draw
1157
1158	"""
1159	x= numpy.linspace(start= -1*qmax,
1160	stop= qmax,
1161	num= qstep,
1162	endpoint=True )
1163	y = numpy.linspace(start= -1*qmax,
1164	stop= qmax,
1165	num= qstep,
1166	endpoint=True )
1167	## use data info instead
1168	if data !=None:
1169	## check if data2D to plot
1170	if hasattr(data, "x_bins"):
1171	enable2D = True
1172	x= data.x_bins
1173	y= data.y_bins
1174
1175	if not enable2D:
1176	return
1177	try:
1178	from model_thread import Calc2D
1179	## If a thread is already started, stop it
1180	if self.calc_2D != None and self.calc_2D.isrunning():
1181	self.calc_2D.stop()
1182	self.calc_2D = Calc2D( x= x,
1183	y= y,
1184	model= model,
1185	data = data,
1186	qmin= qmin,
1187	qmax= qmax,
1188	qstep= qstep,
1189	completefn= self._complete2D,
1190	updatefn= self._update2D )
1191	self.calc_2D.queue()
1192
1193	except:
1194	raise
1195	#msg= " Error occurred when drawing %s Model 2D: "%model.name
1196	#msg+= " %s"%sys.exc_value
1197	#wx.PostEvent( self.parent, StatusEvent(status= msg ))
1198	#return
1199
1200	def _draw_model1D(self, model, data=None, smearer= None,
1201	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1202	"""
1203	Draw model 1D from loaded data1D
1204	@param data: loaded data
1205	@param model: the model to plot
1206	"""
1207
1208	x= numpy.linspace(start= qmin,
1209	stop= qmax,
1210	num= qstep,
1211	endpoint=True
1212	)
1213	if data!=None:
1214	## check for data2D
1215	if hasattr(data,"x_bins"):
1216	return
1217	x = data.x
1218	if qmin == DEFAULT_QMIN :
1219	qmin = min(data.x)
1220	if qmax == DEFAULT_QMAX:
1221	qmax = max(data.x)
1222
1223
1224	if not enable1D:
1225	return
1226
1227	try:
1228	from model_thread import Calc1D
1229	## If a thread is already started, stop it
1230	if self.calc_1D!= None and self.calc_1D.isrunning():
1231	self.calc_1D.stop()
1232	self.calc_1D= Calc1D( x= x,
1233	data = data,
1234	model= model,
1235	qmin = qmin,
1236	qmax = qmax,
1237	smearer = smearer,
1238	completefn = self._complete1D,
1239	updatefn = self._update1D )
1240	self.calc_1D.queue()
1241
1242	except:
1243	msg= " Error occurred when drawing %s Model 1D: "%model.name
1244	msg+= " %s"%sys.exc_value
1245	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1246	return
1247
1248
1249	def profile(fn, args, *kw):
1250	import cProfile, pstats, os
1251	global call_result
1252	def call():
1253	global call_result
1254	call_result = fn(args, *kw)
1255	cProfile.runctx('call()', dict(call=call), {}, 'profile.out')
1256	stats = pstats.Stats('profile.out')
1257	stats.sort_stats('time')
1258	#stats.sort_stats('calls')
1259	stats.print_stats()
1260	os.unlink('profile.out')
1261	return call_result
1262	if __name__ == "__main__":
1263	i = Plugin()
1264
1265
1266
1267

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 3595bb7f

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