fitting.py @ cc1500d

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 cc1500d was e8ec2fc, checked in by Jae Cho <jhjcho@…>, 15 years ago
fixed fitting crash on Mac
Property mode set to `100644`
File size: 48.8 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	(id_tool_menu, self.tool_menu,"Tools" ),
155	(id2, menu2, "Model")]
156
157
158	def on_add_sim_page(self, event):
159	"""
160	Create a page to access simultaneous fit option
161	"""
162	Plugin.on_perspective(self,event=event)
163	if self.sim_page !=None:
164	msg= "Simultaneous Fit page already opened"
165	wx.PostEvent(self.parent, StatusEvent(status= msg))
166	return
167
168	self.sim_page= self.fit_panel.add_sim_page()
169
170
171
172	def help(self, evt):
173	"""
174	Show a general help dialog.
175	TODO: replace the text with a nice image
176	"""
177	from helpPanel import HelpWindow
178	frame = HelpWindow(None, -1, 'HelpWindow')
179	frame.Show(True)
180
181
182	def get_context_menu(self, graph=None):
183	"""
184	Get the context menu items available for P(r)
185	@param graph: the Graph object to which we attach the context menu
186	@return: a list of menu items with call-back function
187	"""
188	#TODO: clean this up so that the string are not copied
189	# multiple times.
190	self.graph=graph
191
192	for item in graph.plottables:
193	if item.__class__.__name__ is "Data2D":
194
195	if hasattr(item,"is_data"):
196	if item.is_data:
197	return [["Select data for fitting", \
198	"Dialog with fitting parameters ", self._onSelect]]
199	else:
200	return []
201	return [["Select data for fitting",\
202	"Dialog with fitting parameters ", self._onSelect]]
203	else:
204	if item.name==graph.selected_plottable :
205	if item.name !="$I_{obs}(q)$" and item.name !="$P_{fit}(r)$":
206	if hasattr(item, "group_id"):
207	if hasattr(item,"is_data"):
208	if item.is_data:
209	return [["Select data for fitting", \
210	"Dialog with fitting parameters ", self._onSelect]]
211	else:
212	return []
213	else:
214	return [["Select data for fitting", \
215	"Dialog with fitting parameters ", self._onSelect]]
216	return []
217
218
219	def get_panels(self, parent):
220	"""
221	Create and return a list of panel objects
222	"""
223	self.parent = parent
224	# Creation of the fit panel
225	self.fit_panel = FitPanel(self.parent, -1)
226	#Set the manager for the main panel
227	self.fit_panel.set_manager(self)
228	# List of windows used for the perspective
229	self.perspective = []
230	self.perspective.append(self.fit_panel.window_name)
231	# take care of saving data, model and page associated with each other
232	self.page_finder = {}
233	#index number to create random model name
234	self.index_model = 0
235	self.index_theory= 0
236	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
237	self.parent.Bind( ERR_DATA, self._on_data_error)
238	self.parent.Bind(EVT_REMOVE_DATA, self._closed_fitpage)
239	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
240	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
241
242
243	#Send the fitting panel to guiframe
244	self.mypanels.append(self.fit_panel)
245	return self.mypanels
246
247
248
249	def get_perspective(self):
250	"""
251	Get the list of panel names for this perspective
252	"""
253	return self.perspective
254
255
256	def on_perspective(self, event):
257	"""
258	Call back function for the perspective menu item.
259	We notify the parent window that the perspective
260	has changed.
261	"""
262	self.parent.set_perspective(self.perspective)
263
264
265	def post_init(self):
266	"""
267	Post initialization call back to close the loose ends
268	"""
269	# Do not show the fitting perspective immediately and
270	# let the application show the Welcome Page.
271	#self.parent.set_perspective(self.perspective)
272	pass
273
274
275	def copy_data(self, item, dy=None):
276	"""
277	receive a data 1D and the list of errors on dy
278	and create a new data1D data
279	@param return
280	"""
281	id=None
282	if hasattr(item,"id"):
283	id = copy.deepcopy(item.id)
284
285	data= Data1D(x=item.x, y=item.y,dx=None, dy=None)
286	data.copy_from_datainfo(item)
287	item.clone_without_data(clone=data)
288	data.dy=dy
289	data.name = item.name
290	## allow to highlight data when plotted
291	data.interactive = copy.deepcopy(item.interactive)
292	## when 2 data have the same id override the 1 st plotted
293	data.id = id
294	data.group_id = item.group_id
295	return data
296
297	def set_fit_range(self, page, qmin, qmax):
298	"""
299	Set the fitting range of a given page
300	"""
301	if page in self.page_finder.iterkeys():
302	fitproblem= self.page_finder[page]
303	fitproblem.set_range(qmin= qmin, qmax= qmax)
304
305	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
306	"""
307	Set the fit problem field to 0 or 1 to schedule that problem to fit.
308	Schedule the specified fitproblem or get the fit problem related to
309	the current page and set value.
310	@param value : integer 0 or 1
311	@param fitproblem: fitproblem to schedule or not to fit
312	"""
313	if fitproblem !=None:
314	fitproblem.schedule_tofit(value)
315	else:
316	if page in self.page_finder.iterkeys():
317	fitproblem= self.page_finder[page]
318	fitproblem.schedule_tofit(value)
319
320
321
322	def get_page_finder(self):
323	""" @return self.page_finder used also by simfitpage.py"""
324	return self.page_finder
325
326
327	def set_page_finder(self,modelname,names,values):
328	"""
329	Used by simfitpage.py to reset a parameter given the string constrainst.
330	@param modelname: the name ot the model for with the parameter has to reset
331	@param value: can be a string in this case.
332	@param names: the paramter name
333	@note: expecting park used for fit.
334	"""
335	sim_page= self.sim_page
336	for page, value in self.page_finder.iteritems():
337	if page != sim_page:
338	list=value.get_model()
339	model = list[0]
340	if model.name== modelname:
341	value.set_model_param(names,values)
342	break
343
344
345
346	def split_string(self,item):
347	"""
348	receive a word containing dot and split it. used to split parameterset
349	name into model name and parameter name example:
350	paramaterset (item) = M1.A
351	@return model_name =M1 , parameter name =A
352	"""
353	if string.find(item,".")!=-1:
354	param_names= re.split("\.",item)
355	model_name=param_names[0]
356	param_name=param_names[1]
357	return model_name,param_name
358
359
360	def stop_fit(self):
361	"""
362	Stop the fit engine
363	"""
364	if self.calc_fit!= None and self.calc_fit.isrunning():
365	self.calc_fit.stop()
366	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
367	is cancelled" , type="stop"))
368
369
370
371	def set_smearer(self,smearer, qmin=None, qmax=None):
372	"""
373	Get a smear object and store it to a fit problem
374	@param smearer: smear object to allow smearing data
375	"""
376	self.current_pg=self.fit_panel.get_current_page()
377	self.page_finder[self.current_pg].set_smearer(smearer)
378	## draw model 1D with smeared data
379	data = self.page_finder[self.current_pg].get_plotted_data()
380	model = self.page_finder[self.current_pg].get_model()
381	## if user has already selected a model to plot
382	## redraw the model with data smeared
383
384	smear =self.page_finder[self.current_pg].get_smearer()
385	if model!= None:
386	self.draw_model( model=model, data= data, smearer= smear,
387	qmin= qmin, qmax= qmax)
388
389
390
391	def draw_model(self, model, data= None,smearer= None,
392	enable1D= True, enable2D= False,
393	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
394	"""
395	Draw model.
396	@param model: the model to draw
397	@param name: the name of the model to draw
398	@param data: the data on which the model is based to be drawn
399	@param description: model's description
400	@param enable1D: if true enable drawing model 1D
401	@param enable2D: if true enable drawing model 2D
402	@param qmin: Range's minimum value to draw model
403	@param qmax: Range's maximum value to draw model
404	@param qstep: number of step to divide the x and y-axis
405
406	"""
407	## draw model 1D with no loaded data
408	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
409	qmin= qmin, qmax= qmax, qstep= qstep )
410	## draw model 2D with no initial data
411	self._draw_model2D(model=model,
412	data = data,
413	enable2D= enable2D,
414	qmin=qmin,
415	qmax=qmax,
416	qstep=qstep)
417
418
419
420	def onFit(self):
421	"""
422	perform fit
423	"""
424	## count the number of fitproblem schedule to fit
425	fitproblem_count= 0
426	for value in self.page_finder.itervalues():
427	if value.get_scheduled()==1:
428	fitproblem_count += 1
429
430	## if simultaneous fit change automatically the engine to park
431	if fitproblem_count >1:
432	self._on_change_engine(engine='park')
433
434	from sans.fit.Fitting import Fit
435	self.fitter= Fit(self._fit_engine)
436
437	if self._fit_engine=="park":
438	engineType="Simultaneous Fit"
439	else:
440	engineType="Single Fit"
441
442	fproblemId = 0
443	self.current_pg=None
444	for page, value in self.page_finder.iteritems():
445	try:
446	if value.get_scheduled()==1:
447	#Get list of parameters name to fit
448	pars = []
449	templist = []
450	templist = page.get_param_list()
451	for element in templist:
452	name = str(element[1])
453	pars.append(name)
454	#Set Engine (model , data) related to the page on
455	self._fit_helper( value=value,pars=pars,
456	id=fproblemId, title= engineType )
457	fproblemId += 1
458	self.current_pg= page
459	except:
460	msg= "%s error: %s" % (engineType,sys.exc_value)
461	wx.PostEvent(self.parent, StatusEvent(status= msg ))
462	return
463	#Do the simultaneous fit
464	try:
465	## If a thread is already started, stop it
466	if self.calc_fit!= None and self.calc_fit.isrunning():
467	self.calc_fit.stop()
468
469	wx.PostEvent(self.parent, StatusEvent(status="Start the computation",
470	curr_thread=self.calc_fit,type="start"))
471	wx.PostEvent(self.parent, StatusEvent(status="Computing...",
472	curr_thread=self.calc_fit,type="progress"))
473	## perform single fit
474	if self._fit_engine=="scipy":
475	qmin, qmax= self.current_pg.get_range()
476	self.calc_fit=FitThread(parent =self.parent,
477	fn= self.fitter,
478	cpage=self.current_pg,
479	pars= pars,
480	completefn= self._single_fit_completed,
481	updatefn=self._updateFit)
482
483	else:
484	## Perform more than 1 fit at the time
485	self.calc_fit=FitThread(parent =self.parent,
486	fn= self.fitter,
487	completefn= self._simul_fit_completed,
488	updatefn=self._updateFit)
489
490	self.calc_fit.queue()
491	if fitproble_count > 1:
492	#Mac crashes on this.
493	self.calc_fit.ready(2.5)
494	else:
495	time.sleep(0.5)
496
497	except FitAbort:
498	print "in pluging"
499	except:
500	msg= "%s error: %s" % (engineType,sys.exc_value)
501	wx.PostEvent(self.parent, StatusEvent(status= msg ,type="stop"))
502	return
503
504	def onCalculateSld(self, event):
505	"""
506	Compute the scattering length density of molecula
507	"""
508	from sldPanel import SldWindow
509	frame = SldWindow(base=self.parent)
510	frame.Show(True)
511
512
513	def _onEVT_SLICER_PANEL(self, event):
514	"""
515	receive and event telling to update a panel with a name starting with
516	event.panel_name. this method update slicer panel for a given interactor.
517	@param event: contains type of slicer , paramaters for updating the panel
518	and panel_name to find the slicer 's panel concerned.
519	"""
520
521	for item in self.parent.panels:
522	if self.parent.panels[item].window_caption.startswith(event.panel_name):
523	self.parent.panels[item].set_slicer(event.type, event.params)
524
525	self.parent._mgr.Update()
526
527
528
529	def _closed_fitpage(self, event):
530	"""
531	request fitpanel to close a given page when its unique data is removed
532	from the plot
533	"""
534	self.fit_panel._close_fitpage(event.data)
535
536
537	def _add_page_onmenu(self, name,fitproblem=None):
538	"""
539	Add name of a closed page of fitpanel in a menu
540	"""
541	list = self.menu1.GetMenuItems()
542	for item in list:
543	if name == item.GetItemLabel():
544	self.closed_page_dict[name][1] = fitproblem
545
546	if not name in self.closed_page_dict.keys():
547	# Post paramters
548	event_id = wx.NewId()
549	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
550	self.closed_page_dict[name]= [event_id, fitproblem]
551	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
552
553
554	def _open_closed_page(self, event):
555	"""
556	reopen a closed page
557	"""
558	for name, value in self.closed_page_dict.iteritems():
559	if event.GetId() in value:
560	id,fitproblem = value
561	if name !="Model":
562	data= fitproblem.get_fit_data()
563	page = self.fit_panel.add_fit_page(data= data,reset=True)
564	if fitproblem != None:
565	self.page_finder[page]=fitproblem
566	if self.sim_page != None:
567	self.sim_page.draw_page()
568
569	else:
570	model = fitproblem
571	self.fit_panel.add_model_page(model=model, topmenu=True,
572	reset= True)
573	break
574
575
576	def _reset_schedule_problem(self, value=0):
577	"""
578	unschedule or schedule all fitproblem to be fit
579	"""
580	for page, fitproblem in self.page_finder.iteritems():
581	fitproblem.schedule_tofit(value)
582
583	def _fit_helper(self,pars,value, id, title="Single Fit " ):
584	"""
585	helper for fitting
586	"""
587	metadata = value.get_fit_data()
588	model = value.get_model()
589	smearer = value.get_smearer()
590	qmin , qmax = value.get_range()
591	self.fit_id =id
592	#Create list of parameters for fitting used
593	templist=[]
594	pars=pars
595	try:
596	## create a park model and reset parameter value if constraint
597	## is given
598	new_model = Model(model)
599	param = value.get_model_param()
600	if len(param)>0:
601	for item in param:
602	param_value = item[1]
603	param_name = item[0]
604	## check if constraint
605	if param_value !=None and param_name != None:
606	new_model.parameterset[ param_name].set( param_value )
607
608	#Do the single fit
609	self.fitter.set_model(new_model, self.fit_id, pars)
610
611	self.fitter.set_data(data=metadata,Uid=self.fit_id,
612	smearer=smearer,qmin= qmin,qmax=qmax )
613
614	self.fitter.select_problem_for_fit(Uid= self.fit_id,
615	value= value.get_scheduled())
616	value.clear_model_param()
617	except:
618	msg= title +" error: %s" % sys.exc_value
619	wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
620	return
621
622	def _onSelect(self,event):
623	"""
624	when Select data to fit a new page is created .Its reference is
625	added to self.page_finder
626	"""
627	self.panel = event.GetEventObject()
628	Plugin.on_perspective(self,event=event)
629	for plottable in self.panel.graph.plottables:
630	if plottable.name == self.panel.graph.selected_plottable:
631	#if not hasattr(plottable, "is_data"):
632
633	if plottable.__class__.__name__=="Theory1D":
634	dy=numpy.zeros(len(plottable.y))
635	if hasattr(plottable, "dy"):
636	dy= copy.deepcopy(plottable.dy)
637
638	item= self.copy_data(plottable, dy)
639	item.group_id += "data1D"
640	item.id +="data1D"
641	item.is_data= False
642	title = item.name
643	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
644	else:
645	item= self.copy_data(plottable, plottable.dy)
646	item.is_data=True
647
648	## put the errors values back to the model if the errors were hiden
649	## before sending them to the fit engine
650	if len(self.err_dy)>0:
651	if item.name in self.err_dy.iterkeys():
652	dy= self.err_dy[item.name]
653	data= self.copy_data(item, dy)
654	data.is_data= item.is_data
655	else:
656	data= self.copy_data(item, item.dy)
657	data.is_data= item.is_data
658
659
660	else:
661	if item.dy==None:
662	dy= numpy.zeros(len(item.y))
663	data= self.copy_data(item, dy)
664	data.is_data=item.is_data
665	else:
666	data= self.copy_data(item,item.dy)
667	data.is_data=item.is_data
668
669	else:
670	if plottable.__class__.__name__ !="Data2D":
671	return
672	## Data2D case
673	if not hasattr(plottable, "is_data"):
674	item= copy.deepcopy(plottable)
675	item.group_id += "data2D"
676	item.id +="data2D"
677	item.is_data= False
678	title = item.name
679	title += " Fit"
680	data = item
681	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
682	else:
683	item= copy.deepcopy(plottable )
684	data= copy.deepcopy(plottable )
685	item.is_data=True
686	data.is_data=True
687
688
689	## create anew page
690	if item.name == self.panel.graph.selected_plottable or\
691	item.__class__.__name__ is "Data2D":
692	try:
693	page = self.fit_panel.add_fit_page(data)
694	# add data associated to the page created
695	if page !=None:
696	#create a fitproblem storing all link to data,model,page creation
697	if not page in self.page_finder.keys():
698	self.page_finder[page]= FitProblem()
699	## item is almost the same as data but contains
700	## axis info for plotting
701	self.page_finder[page].add_plotted_data(item)
702	self.page_finder[page].add_fit_data(data)
703
704	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
705	else:
706	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
707	except:
708	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
709	%sys.exc_value))
710	return
711
712
713	def _updateFit(self):
714	"""
715	Is called when values of result are available
716	"""
717	##Sending a progess message to the status bar
718	wx.PostEvent(self.parent, StatusEvent(status="Computing..."))
719
720	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
721	"""
722	Display fit result on one page of the notebook.
723	@param result: result of fit
724	@param pars: list of names of parameters fitted
725	@param current_pg: the page where information will be displayed
726	@param qmin: the minimum value of x to replot the model
727	@param qmax: the maximum value of x to replot model
728
729	"""
730	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
731	complete! " ))
732
733	try:
734	if result ==None:
735	msg= "Simple Fitting Stop !!!"
736	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
737	return
738	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
739	msg= "Single Fitting did not converge!!!"
740	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
741	return
742	for page, value in self.page_finder.iteritems():
743	if page==cpage :
744	model= value.get_model()
745	break
746	i = 0
747	for name in pars:
748	if result.pvec.__class__==numpy.float64:
749	model.setParam(name,result.pvec)
750	else:
751	model.setParam(name,result.pvec[i])
752	i += 1
753	## Reset values of the current page to fit result
754	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
755	## plot the current model with new param
756	metadata = self.page_finder[cpage].get_fit_data()
757	model = self.page_finder[cpage].get_model()
758	qmin, qmax= self.page_finder[cpage].get_range()
759	smearer =self.page_finder[cpage].get_smearer()
760	#Replot models
761	msg= "Single Fit completed. plotting... %s:"%model.name
762	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
763	self.draw_model( model=model, data= metadata, smearer= smearer,
764	qmin= qmin, qmax= qmax)
765	wx.PostEvent(self.parent, StatusEvent(status=" " , type="stop"))
766	except:
767	msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
768	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
769	return
770
771
772	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
773	"""
774	Parameter estimation completed,
775	display the results to the user
776	@param alpha: estimated best alpha
777	@param elapsed: computation time
778	"""
779	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit complete "))
780
781	## fit more than 1 model at the same time
782	try:
783	if result ==None:
784	msg= "Complex Fitting Stop !!!"
785	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
786	return
787	if numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
788	msg= "Single Fitting did not converge!!!"
789	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
790	return
791	for page, value in self.page_finder.iteritems():
792	if value.get_scheduled()==1:
793	model = value.get_model()
794	metadata = value.get_plotted_data()
795	small_out = []
796	small_cov = []
797	i = 0
798	#Separate result in to data corresponding to each page
799	for p in result.parameters:
800	model_name,param_name = self.split_string(p.name)
801	if model.name == model_name:
802	p_name= model.name+"."+param_name
803	if p.name == p_name:
804	small_out.append(p.value )
805	model.setParam(param_name,p.value)
806
807	small_cov.append(p.stderr)
808	else:
809	value= model.getParam(param_name)
810	small_out.append(value )
811	small_cov.append(None)
812	# Display result on each page
813	page.onsetValues(result.fitness, small_out,small_cov)
814	#Replot models
815	msg= "Simultaneous Fit completed. plotting... %s:"%model.name
816	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
817	qmin, qmax= page.get_range()
818	smearer =self.page_finder[page].get_smearer()
819	self.draw_model( model=model, data= metadata, smearer=smearer,
820	qmin= qmin, qmax= qmax)
821	wx.PostEvent(self.parent, StatusEvent(status="", type="stop"))
822	except:
823	msg= "Simultaneous Fit completed"
824	msg +=" but Following error occurred:%s"%sys.exc_value
825	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
826	return
827
828
829
830	def _on_show_panel(self, event):
831	print "_on_show_panel: fitting"
832
833
834	def _onset_engine_park(self,event):
835	"""
836	set engine to park
837	"""
838	self._on_change_engine('park')
839
840
841	def _onset_engine_scipy(self,event):
842	"""
843	set engine to scipy
844	"""
845	self._on_change_engine('scipy')
846
847	def _on_slicer_event(self, event):
848	"""
849	Receive a panel as event and send it to guiframe
850	@param event: event containing a panel
851	"""
852
853	if event.panel!=None:
854	new_panel = event.panel
855	self.slicer_panels.append(event.panel)
856	# Set group ID if available
857	event_id = self.parent.popup_panel(new_panel)
858	#self.menu3.Append(event_id, new_panel.window_caption,
859	# "Show %s plot panel" % new_panel.window_caption)
860	# Set UID to allow us to reference the panel later
861
862	new_panel.uid = event_id
863	self.mypanels.append(new_panel)
864	return
865
866	def _onclearslicer(self, event):
867	"""
868	Clear the boxslicer when close the panel associate with this slicer
869	"""
870	name =event.GetPane().caption
871
872	for panel in self.slicer_panels:
873	if panel.window_caption==name:
874
875	for item in self.parent.panels:
876	if hasattr(self.parent.panels[item],"uid"):
877	if self.parent.panels[item].uid ==panel.base.uid:
878	self.parent.panels[item].onClearSlicer(event)
879	self.parent._mgr.Update()
880	break
881	break
882
883
884
885
886	def _return_engine_type(self):
887	"""
888	return the current type of engine
889	"""
890	return self._fit_engine
891
892
893	def _on_change_engine(self, engine='park'):
894	"""
895	Allow to select the type of engine to perform fit
896	@param engine: the key work of the engine
897	"""
898	## saving fit engine name
899	self._fit_engine = engine
900	## change menu item state
901	if engine=="park":
902	self.menu1.FindItemByPosition(0).Check(False)
903	self.menu1.FindItemByPosition(1).Check(True)
904	else:
905	self.menu1.FindItemByPosition(0).Check(True)
906	self.menu1.FindItemByPosition(1).Check(False)
907
908	## post a message to status bar
909	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
910
911	## Bind every open fit page with a newevent to know the current fitting engine
912	import fitpage
913	event= fitpage.FitterTypeEvent()
914	event.type = self._fit_engine
915	for key in self.page_finder.keys():
916	wx.PostEvent(key, event)
917
918
919	def _on_model_panel(self, evt):
920	"""
921	react to model selection on any combo box or model menu.plot the model
922	@param evt: wx.combobox event
923	"""
924	model = evt.model
925
926	if model ==None:
927	return
928	model.origin_name = model.name
929	self.current_pg = self.fit_panel.get_current_page()
930	## make sure nothing is done on self.sim_page
931	## example trying to call set_panel on self.sim_page
932	if self.current_pg != self.sim_page :
933
934	if self.page_finder[self.current_pg].get_model()== None :
935
936	model.name="M"+str(self.index_model)
937	self.index_model += 1
938	else:
939	model.name= self.page_finder[self.current_pg].get_model().name
940
941	metadata = self.page_finder[self.current_pg].get_plotted_data()
942
943	# save the name containing the data name with the appropriate model
944	self.page_finder[self.current_pg].set_model(model)
945	qmin, qmax= self.current_pg.get_range()
946	self.page_finder[self.current_pg].set_range(qmin=qmin, qmax=qmax)
947	smearer= self.page_finder[self.current_pg].get_smearer()
948	# save model name
949	self.draw_model( model=model,smearer=smearer,
950	data= metadata, qmin=qmin, qmax=qmax)
951
952	if self.sim_page!=None:
953	self.sim_page.draw_page()
954
955
956
957	def _on_model_menu(self, evt):
958	"""
959	Plot a theory from a model selected from the menu
960	@param evt: wx.menu event
961	"""
962	model = evt.model
963	Plugin.on_perspective(self,event=evt)
964	# Create a model page. If a new page is created, the model
965	# will be plotted automatically. If a page already exists,
966	# the content will be updated and the plot refreshed
967	self.fit_panel.add_model_page(model,topmenu=True)
968
969
970
971
972	def _update1D(self,x, output):
973	"""
974	Update the output of plotting model 1D
975	"""
976	wx.PostEvent(self.parent, StatusEvent(status="Plot \
977	#updating ... ",type="update"))
978	self.calc_thread.ready(0.01)
979
980
981	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
982	"""
983	fill Data2D with default value
984	@param theory: Data2D to fill
985	"""
986	from DataLoader.data_info import Detector, Source
987
988	detector = Detector()
989	theory.detector.append(detector)
990
991	theory.detector[0].distance=1e+32
992	theory.source= Source()
993	theory.source.wavelength=2*math.pi/1e+32
994
995	## Create detector for Model 2D
996	xmax=2theory.detector[0].distancemath.atan(\
997	qmax/(4*math.pi/theory.source.wavelength))
998
999	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)
1000	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)
1001	theory.detector[0].beam_center.x= qmax
1002	theory.detector[0].beam_center.y= qmax
1003	## create x_bins and y_bins of the model 2D
1004	distance = theory.detector[0].distance
1005	pixel = qstep/2-1
1006	theta = pixel / distance / qstep#100.0
1007	wavelength = theory.source.wavelength
1008	pixel_width_x = theory.detector[0].pixel_size.x
1009	pixel_width_y = theory.detector[0].pixel_size.y
1010	center_x = theory.detector[0].beam_center.x/pixel_width_x
1011	center_y = theory.detector[0].beam_center.y/pixel_width_y
1012
1013
1014	size_x, size_y= numpy.shape(theory.data)
1015	for i_x in range(size_x):
1016	theta = (i_x-center_x)*pixel_width_x / distance
1017	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
1018	theory.x_bins.append(qx)
1019	for i_y in range(size_y):
1020	theta = (i_y-center_y)*pixel_width_y / distance
1021	qy =4.0math.pi/wavelength math.tan(theta/2.0)
1022	theory.y_bins.append(qy)
1023
1024	theory.group_id ="Model"
1025	theory.id ="Model"
1026	## determine plot boundaries
1027	theory.xmin= -qmax
1028	theory.xmax= qmax
1029	theory.ymin= -qmax
1030	theory.ymax= qmax
1031
1032
1033	def _get_plotting_info(self, data=None):
1034	"""
1035	get plotting info from data if data !=None
1036	else use some default
1037	"""
1038	my_info = PlotInfo()
1039	if data !=None:
1040	if hasattr(data,"info"):
1041	x_name, x_units = data.get_xaxis()
1042	y_name, y_units = data.get_yaxis()
1043
1044	my_info._xunit = x_units
1045	my_info._xaxis = x_name
1046	my_info._yunit = y_units
1047	my_info._yaxis = y_name
1048
1049	my_info.title= data.name
1050	if hasattr(data, "info"):
1051	my_info.info= data.info
1052	if hasattr(data, "group_id"):
1053	my_info.group_id= data.group_id
1054
1055	return my_info
1056
1057
1058	def _complete1D(self, x,y, elapsed,model,data=None):
1059	"""
1060	Complete plotting 1D data
1061	"""
1062
1063	try:
1064	new_plot = Theory1D(x=x, y=y)
1065	my_info = self._get_plotting_info( data)
1066	new_plot.name = model.name
1067	new_plot.id = my_info.id
1068	new_plot.group_id = my_info.group_id
1069
1070	new_plot.xaxis( my_info._xaxis, my_info._xunit)
1071	new_plot.yaxis( my_info._yaxis, my_info._yunit)
1072	if data!=None:
1073	if new_plot.id == data.id:
1074	new_plot.id += "Model"
1075	new_plot.is_data =False
1076
1077
1078	title= new_plot.name
1079
1080	# Pass the reset flag to let the plotting event handler
1081	# know that we are replacing the whole plot
1082	if title== None:
1083	title = "Analytical model 1D "
1084	if data ==None:
1085	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1086	title= str(title), reset=True ))
1087	else:
1088	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1089	title= str(title)))
1090	msg = "Plot 1D complete !"
1091	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1092	except:
1093	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
1094	msg+= " %s"%sys.exc_value
1095	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" ))
1096	return
1097
1098
1099
1100	def _update2D(self, output,time=None):
1101	"""
1102	Update the output of plotting model
1103	"""
1104	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1105	#updating ... ",type="update"))
1106	self.calc_thread.ready(0.01)
1107
1108
1109	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
1110	"""
1111	Complete get the result of modelthread and create model 2D
1112	that can be plot.
1113	"""
1114
1115
1116	err_image = numpy.zeros(numpy.shape(image))
1117
1118	theory= Data2D(image= image , err_image= err_image)
1119	theory.name= model.name
1120
1121	if data ==None:
1122	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
1123
1124	else:
1125	theory.id= data.id+"Model"
1126	theory.group_id= data.name+"Model"
1127	theory.x_bins= data.x_bins
1128	theory.y_bins= data.y_bins
1129	theory.detector= data.detector
1130	theory.source= data.source
1131	theory.is_data =False
1132	## plot boundaries
1133	theory.ymin= data.ymin
1134	theory.ymax= data.ymax
1135	theory.xmin= data.xmin
1136	theory.xmax= data.xmax
1137
1138
1139	## plot
1140	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1141	title="Analytical model 2D ", reset=True ))
1142	msg = "Plot 2D complete !"
1143	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1144
1145	def _on_data_error(self, event):
1146	"""
1147	receives and event from plotting plu-gins to store the data name and
1148	their errors of y coordinates for 1Data hide and show error
1149	"""
1150	self.err_dy= event.err_dy
1151
1152
1153	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
1154	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1155	"""
1156	draw model in 2D
1157	@param model: instance of the model to draw
1158	@param description: the description of the model
1159	@param enable2D: when True allows to draw model 2D
1160	@param qmin: the minimum value to draw model 2D
1161	@param qmax: the maximum value to draw model 2D
1162	@param qstep: the number of division of Qx and Qy of the model to draw
1163
1164	"""
1165	x= numpy.linspace(start= -1*qmax,
1166	stop= qmax,
1167	num= qstep,
1168	endpoint=True )
1169	y = numpy.linspace(start= -1*qmax,
1170	stop= qmax,
1171	num= qstep,
1172	endpoint=True )
1173	## use data info instead
1174	if data !=None:
1175	## check if data2D to plot
1176	if hasattr(data, "x_bins"):
1177	enable2D = True
1178	x= data.x_bins
1179	y= data.y_bins
1180
1181	if not enable2D:
1182	return
1183	try:
1184	from model_thread import Calc2D
1185	## If a thread is already started, stop it
1186	if self.calc_2D != None and self.calc_2D.isrunning():
1187	self.calc_2D.stop()
1188	self.calc_2D = Calc2D( x= x,
1189	y= y,
1190	model= model,
1191	data = data,
1192	qmin= qmin,
1193	qmax= qmax,
1194	qstep= qstep,
1195	completefn= self._complete2D,
1196	updatefn= self._update2D )
1197	self.calc_2D.queue()
1198
1199	except:
1200	raise
1201	#msg= " Error occurred when drawing %s Model 2D: "%model.name
1202	#msg+= " %s"%sys.exc_value
1203	#wx.PostEvent( self.parent, StatusEvent(status= msg ))
1204	#return
1205
1206	def _draw_model1D(self, model, data=None, smearer= None,
1207	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1208	"""
1209	Draw model 1D from loaded data1D
1210	@param data: loaded data
1211	@param model: the model to plot
1212	"""
1213
1214	x= numpy.linspace(start= qmin,
1215	stop= qmax,
1216	num= qstep,
1217	endpoint=True
1218	)
1219	if data!=None:
1220	## check for data2D
1221	if hasattr(data,"x_bins"):
1222	return
1223	x = data.x
1224	if qmin == DEFAULT_QMIN :
1225	qmin = min(data.x)
1226	if qmax == DEFAULT_QMAX:
1227	qmax = max(data.x)
1228
1229
1230	if not enable1D:
1231	return
1232
1233	try:
1234	from model_thread import Calc1D
1235	## If a thread is already started, stop it
1236	if self.calc_1D!= None and self.calc_1D.isrunning():
1237	self.calc_1D.stop()
1238	self.calc_1D= Calc1D( x= x,
1239	data = data,
1240	model= model,
1241	qmin = qmin,
1242	qmax = qmax,
1243	smearer = smearer,
1244	completefn = self._complete1D,
1245	updatefn = self._update1D )
1246	self.calc_1D.queue()
1247
1248	except:
1249	msg= " Error occurred when drawing %s Model 1D: "%model.name
1250	msg+= " %s"%sys.exc_value
1251	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1252	return
1253
1254
1255	def profile(fn, args, *kw):
1256	import cProfile, pstats, os
1257	global call_result
1258	def call():
1259	global call_result
1260	call_result = fn(args, *kw)
1261	cProfile.runctx('call()', dict(call=call), {}, 'profile.out')
1262	stats = pstats.Stats('profile.out')
1263	stats.sort_stats('time')
1264	#stats.sort_stats('calls')
1265	stats.print_stats()
1266	os.unlink('profile.out')
1267	return call_result
1268	if __name__ == "__main__":
1269	i = Plugin()
1270
1271
1272
1273

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ cc1500d

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