fitting.py @ 509af3d

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 509af3d was 2f189dc, checked in by Gervaise Alina <gervyh@…>, 15 years ago
refactore fitpanel and removing the bug introduce while changing add fitpage use case
Property mode set to `100644`
File size: 50.2 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	from sans.guiframe.utils import format_number
23
24	from sans.guicomm.events import NewPlotEvent, StatusEvent
25	from sans.guicomm.events import EVT_SLICER_PANEL,ERR_DATA,EVT_REMOVE_DATA
26	from sans.guicomm.events import EVT_SLICER_PARS_UPDATE
27
28	from sans.fit.AbstractFitEngine import Model
29	from sans.fit.AbstractFitEngine import FitAbort
30
31
32	from fitproblem import FitProblem
33	from fitpanel import FitPanel
34	from fit_thread import FitThread
35	import models
36	import fitpage
37
38	DEFAULT_BEAM = 0.005
39	DEFAULT_QMIN = 0.001
40	DEFAULT_QMAX = 0.13
41	DEFAULT_NPTS = 50
42
43	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
44
45
46	class PlotInfo:
47	"""
48	store some plotting field
49	"""
50	_xunit = 'A^{-1}'
51	_xaxis= "\\rm{Q}"
52	_yunit = "cm^{-1}"
53	_yaxis= "\\rm{Intensity} "
54	id = "Model"
55	group_id = "Model"
56	title= None
57	info= None
58
59
60	class Plugin:
61	"""
62	Fitting plugin is used to perform fit
63	"""
64	def __init__(self):
65	## Plug-in name
66	self.sub_menu = "Fitting"
67
68	## Reference to the parent window
69	self.parent = None
70	#Provide list of models existing in the application
71	self.menu_mng = models.ModelManager()
72	## List of panels for the simulation perspective (names)
73	self.perspective = []
74	#list of panel to send to guiframe
75	self.mypanels=[]
76	# reference to the current running thread
77	self.calc_2D= None
78	self.calc_1D= None
79	self.calc_fit= None
80
81	# Start with a good default
82	self.elapsed = 0.022
83	# the type of optimizer selected, park or scipy
84	self.fitter = None
85	#let fit ready
86	self.fitproblem_count = None
87	#Flag to let the plug-in know that it is running stand alone
88	self.standalone=True
89	## dictionary of page closed and id
90	self.closed_page_dict ={}
91	## Fit engine
92	self._fit_engine = 'scipy'
93	#List of selected data
94	self.selected_data_list=[]
95	## list of slicer panel created to display slicer parameters and results
96	self.slicer_panels=[]
97	# Log startup
98	logging.info("Fitting plug-in started")
99	# model 2D view
100	self.model2D_id=None
101	#keep reference of the simultaneous fit page
102	self.sim_page=None
103	#dictionary containing data name and error on dy of that data
104	self.err_dy = {}
105
106
107
108	def populate_menu(self, id, owner):
109	"""
110	Create a menu for the Fitting plug-in
111	@param id: id to create a menu
112	@param owner: owner of menu
113	@ return : list of information to populate the main menu
114	"""
115	#Menu for fitting
116	self.menu1 = wx.Menu()
117
118	#Set park engine
119	id3 = wx.NewId()
120	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
121	self.menu1.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
122	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
123
124	id3 = wx.NewId()
125	park_help = "Park Engine: Perform Complex fit. More in Help window...."
126	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
127	wx.EVT_MENU(owner, id3, self._onset_engine_park)
128
129	self.menu1.FindItemByPosition(0).Check(True)
130	self.menu1.FindItemByPosition(1).Check(False)
131
132	self.menu1.AppendSeparator()
133	id1 = wx.NewId()
134	simul_help = "Allow to edit fit engine with multiple model and data"
135	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
136	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
137
138	#menu for model
139	menu2 = wx.Menu()
140	self.menu_mng.populate_menu(menu2, owner)
141	id2 = wx.NewId()
142	owner.Bind(models.EVT_MODEL,self._on_model_menu)
143
144	self.fit_panel.set_owner(owner)
145	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
146	owner.Bind(fitpage.EVT_MODEL_BOX,self._on_model_panel)
147
148	#create menubar items
149	return [(id, self.menu1, "Fitting")]
150
151	def on_add_sim_page(self, event):
152	"""
153	Create a page to access simultaneous fit option
154	"""
155	Plugin.on_perspective(self,event=event)
156	if self.sim_page !=None:
157	msg= "Simultaneous Fit page already opened"
158	wx.PostEvent(self.parent, StatusEvent(status= msg))
159	return
160
161	self.sim_page= self.fit_panel.add_sim_page()
162
163	def help(self, evt):
164	"""
165	Show a general help dialog.
166	TODO: replace the text with a nice image
167	"""
168
169	from help_panel import HelpWindow
170	frame = HelpWindow(None, -1, 'HelpWindow')
171	frame.Show(True)
172
173
174	def get_context_menu(self, graph=None):
175	"""
176	Get the context menu items available for P(r).them allow fitting option
177	for Data2D and Data1D only.
178
179	@param graph: the Graph object to which we attach the context menu
180	@return: a list of menu items with call-back function
181	@note: if Data1D was generated from Theory1D
182	the fitting option is not allowed
183	"""
184	self.graph = graph
185	fit_option = "Select data for fitting"
186	fit_hint = "Dialog with fitting parameters "
187
188	for item in graph.plottables:
189	if item.__class__.__name__ is "Data2D":
190
191	if hasattr(item,"is_data"):
192	if item.is_data:
193	return [[fit_option, fit_hint, self._onSelect]]
194	else:
195	return []
196	return [[fit_option, fit_hint, self._onSelect]]
197	else:
198	if item.name==graph.selected_plottable :
199	if item.name !="$I_{obs}(q)$" and item.name !="$P_{fit}(r)$":
200	if hasattr(item, "group_id"):
201	# if is_data is true , this in an actual data loaded
202	#else it is a data created from a theory model
203	if hasattr(item,"is_data"):
204	if item.is_data:
205	return [[fit_option, fit_hint,
206	self._onSelect]]
207	else:
208	return []
209	else:
210	return [[fit_option, fit_hint, self._onSelect]]
211	return []
212
213
214	def get_panels(self, parent):
215	"""
216	Create and return a list of panel objects
217	"""
218	self.parent = parent
219	# Creation of the fit panel
220	self.fit_panel = FitPanel(self.parent, -1)
221	#Set the manager for the main panel
222	self.fit_panel.set_manager(self)
223	# List of windows used for the perspective
224	self.perspective = []
225	self.perspective.append(self.fit_panel.window_name)
226	# take care of saving data, model and page associated with each other
227	self.page_finder = {}
228	#index number to create random model name
229	self.index_model = 0
230	self.index_theory= 0
231	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
232	self.parent.Bind( ERR_DATA, self._on_data_error)
233	self.parent.Bind(EVT_REMOVE_DATA, self._closed_fitpage)
234	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
235	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
236
237
238	#Send the fitting panel to guiframe
239	self.mypanels.append(self.fit_panel)
240
241	return self.mypanels
242
243
244
245	def get_perspective(self):
246	"""
247	Get the list of panel names for this perspective
248	"""
249	return self.perspective
250
251
252	def on_perspective(self, event):
253	"""
254	Call back function for the perspective menu item.
255	We notify the parent window that the perspective
256	has changed.
257	"""
258	self.parent.set_perspective(self.perspective)
259
260	def set_default_perspective(self):
261	"""
262	Call back method that True to notify the parent that the current plug-in
263	can be set as default perspective.
264	when returning False, the plug-in is not candidate for an automatic
265	default perspective setting
266	"""
267	return True
268
269	def post_init(self):
270	"""
271	Post initialization call back to close the loose ends
272	"""
273	# Do not show the fitting perspective immediately and
274	# let the application show the Welcome Page.
275	#self.parent.set_perspective(self.perspective)
276	pass
277
278	def copy_data(self, item, dy=None):
279	"""
280	receive a data 1D and the list of errors on dy
281	and create a new data1D data
282	@param return
283	"""
284	id = None
285	if hasattr(item,"id"):
286	id = copy.deepcopy(item.id)
287
288	data= Data1D(x=item.x, y=item.y,dx=None, dy=None)
289	data.copy_from_datainfo(item)
290	item.clone_without_data(clone=data)
291	data.dy=dy
292	data.name = item.name
293	## allow to highlight data when plotted
294	data.interactive = copy.deepcopy(item.interactive)
295	## when 2 data have the same id override the 1 st plotted
296	data.id = id
297	data.group_id = item.group_id
298	return data
299
300	def set_fit_range(self, page, qmin, qmax):
301	"""
302	Set the fitting range of a given page
303	"""
304	if page in self.page_finder.iterkeys():
305	fitproblem= self.page_finder[page]
306	fitproblem.set_range(qmin= qmin, qmax= qmax)
307
308	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
309	"""
310	Set the fit problem field to 0 or 1 to schedule that problem to fit.
311	Schedule the specified fitproblem or get the fit problem related to
312	the current page and set value.
313	@param value : integer 0 or 1
314	@param fitproblem: fitproblem to schedule or not to fit
315	"""
316	if fitproblem !=None:
317	fitproblem.schedule_tofit(value)
318	else:
319	if page in self.page_finder.iterkeys():
320	fitproblem= self.page_finder[page]
321	fitproblem.schedule_tofit(value)
322
323	def get_page_finder(self):
324	""" @return self.page_finder used also by simfitpage.py"""
325	return self.page_finder
326
327
328	def set_page_finder(self,modelname,names,values):
329	"""
330	Used by simfitpage.py to reset a parameter given the string constrainst.
331	@param modelname: the name ot the model for with the parameter has to reset
332	@param value: can be a string in this case.
333	@param names: the paramter name
334	@note: expecting park used for fit.
335	"""
336	sim_page= self.sim_page
337	for page, value in self.page_finder.iteritems():
338	if page != sim_page:
339	list=value.get_model()
340	model = list[0]
341	if model.name== modelname:
342	value.set_model_param(names,values)
343	break
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	##Assume max len is 3; eg., M0.radius.width
356	if len(param_names) == 3:
357	param_name=param_names[1]+"."+param_names[2]
358	else:
359	param_name=param_names[1]
360	return model_name,param_name
361
362	def stop_fit(self):
363	"""
364	Stop the fit engine
365	"""
366	if self.calc_fit!= None and self.calc_fit.isrunning():
367	self.calc_fit.stop()
368	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
369	is cancelled" , type="stop"))
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	def draw_model(self, model, data= None,smearer= None,
390	enable1D= True, enable2D= False,
391	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
392	"""
393	Draw model.
394	@param model: the model to draw
395	@param name: the name of the model to draw
396	@param data: the data on which the model is based to be drawn
397	@param description: model's description
398	@param enable1D: if true enable drawing model 1D
399	@param enable2D: if true enable drawing model 2D
400	@param qmin: Range's minimum value to draw model
401	@param qmax: Range's maximum value to draw model
402	@param qstep: number of step to divide the x and y-axis
403
404	"""
405	## draw model 1D with no loaded data
406	self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer,
407	qmin= qmin, qmax= qmax, qstep= qstep )
408	## draw model 2D with no initial data
409	self._draw_model2D(model=model,
410	data = data,
411	enable2D= enable2D,
412	qmin=qmin,
413	qmax=qmax,
414	qstep=qstep)
415
416	def onFit(self):
417	"""
418	perform fit
419	"""
420	## count the number of fitproblem schedule to fit
421	fitproblem_count= 0
422	for value in self.page_finder.itervalues():
423	if value.get_scheduled()==1:
424	fitproblem_count += 1
425
426	## if simultaneous fit change automatically the engine to park
427	if fitproblem_count >1:
428	self._on_change_engine(engine='park')
429
430	self.fitproblem_count = fitproblem_count
431
432	from sans.fit.Fitting import Fit
433	self.fitter= Fit(self._fit_engine)
434
435	if self._fit_engine=="park":
436	engineType="Simultaneous Fit"
437	else:
438	engineType="Single Fit"
439
440	fproblemId = 0
441	self.current_pg=None
442	for page, value in self.page_finder.iteritems():
443	try:
444	if value.get_scheduled()==1:
445	#Get list of parameters name to fit
446	pars = []
447	templist = []
448	templist = page.get_param_list()
449	for element in templist:
450	name = str(element[1])
451	pars.append(name)
452	#Set Engine (model , data) related to the page on
453	self._fit_helper( value=value,pars=pars,
454	id=fproblemId, title= engineType )
455	fproblemId += 1
456	self.current_pg= page
457	except:
458	msg= "%s error: %s" % (engineType,sys.exc_value)
459	wx.PostEvent(self.parent, StatusEvent(status= msg ))
460	return
461
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	time.sleep(0.5)
471	wx.PostEvent(self.parent, StatusEvent(status="Computing...",
472	curr_thread=self.calc_fit,type="progress"))
473	time.sleep(0.5)
474	## perform single fit
475	if fitproblem_count == 1:
476	#qmin, qmax= self.current_pg.get_range()
477	#print "went here fitproblem_count == 1",fitproblem_count == 1
478	calc_fit=FitThread(parent =self.parent,
479	fn= self.fitter,
480	cpage=self.current_pg,
481	pars= pars,
482	completefn= self._single_fit_completed,
483	updatefn=self._updateFit)
484
485
486	else:
487	## Perform more than 1 fit at the time
488	calc_fit=FitThread(parent =self.parent,
489	fn= self.fitter,
490	completefn= self._simul_fit_completed,
491	updatefn=self._updateFit)
492
493	calc_fit.queue()
494	self.ready_fit(calc_fit=calc_fit)
495
496	except FitAbort:
497	print "in pluging"
498	except:
499	msg= "%s error: %s" % (engineType,sys.exc_value)
500	wx.PostEvent(self.parent, StatusEvent(status= msg ,type="stop"))
501	return
502
503	def ready_fit(self, calc_fit):
504	"""
505	Ready for another fit
506	"""
507	if self.fitproblem_count != None and self.fitproblem_count > 1:
508	calc_fit.ready(2.5)
509
510	else:
511	time.sleep(0.4)
512
513	def remove_plot(self, page, theory=False):
514	"""
515	remove model plot when a fit page is closed
516	"""
517	fitproblem = self.page_finder[page]
518	data = fitproblem.get_fit_data()
519	model = fitproblem.get_model()
520	if model is not None:
521	name = model.name
522	new_plot = Theory1D(x=[], y=[], dy=None)
523	new_plot.name = name
524	new_plot.xaxis(data._xaxis, data._xunit)
525	new_plot.yaxis(data._yaxis, data._yunit)
526	new_plot.group_id = data.group_id
527	new_plot.id = data.id + name
528	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=data.name))
529	if theory:
530	new_plot_data = Data1D(x=[], y=[], dx=None, dy=None)
531	new_plot_data.name = data.name
532	new_plot_data.xaxis(data._xaxis, data._xunit)
533	new_plot_data.yaxis(data._yaxis, data._yunit)
534	new_plot_data.group_id = data.group_id
535	new_plot_data.id = data.id
536	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot_data,
537	title=data.name))
538
539	def _onEVT_SLICER_PANEL(self, event):
540	"""
541	receive and event telling to update a panel with a name starting with
542	event.panel_name. this method update slicer panel for a given interactor.
543	@param event: contains type of slicer , paramaters for updating the panel
544	and panel_name to find the slicer 's panel concerned.
545	"""
546	for item in self.parent.panels:
547	if self.parent.panels[item].window_caption.startswith(event.panel_name):
548	self.parent.panels[item].set_slicer(event.type, event.params)
549
550	self.parent._mgr.Update()
551
552
553	def _closed_fitpage(self, event):
554	"""
555	request fitpanel to close a given page when its unique data is removed
556	from the plot
557	"""
558	self.fit_panel.close_page_with_data(event.data)
559
560	def _add_page_onmenu(self, name,fitproblem=None):
561	"""
562	Add name of a closed page of fitpanel in a menu
563	"""
564	list = self.menu1.GetMenuItems()
565	for item in list:
566	if name == item.GetItemLabel():
567	self.closed_page_dict[name][1] = fitproblem
568
569	if not name in self.closed_page_dict.keys():
570	# Post paramters
571	event_id = wx.NewId()
572	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
573	self.closed_page_dict[name]= [event_id, fitproblem]
574	wx.EVT_MENU(self.parent,event_id, self._open_closed_page)
575
576
577	def _open_closed_page(self, event):
578	"""
579	reopen a closed page
580	"""
581	for name, value in self.closed_page_dict.iteritems():
582	if event.GetId() in value:
583	id,fitproblem = value
584	if name !="Model":
585	data= fitproblem.get_fit_data()
586	page = self.fit_panel.add_fit_page(data= data,reset=True)
587	if fitproblem != None:
588	self.page_finder[page]=fitproblem
589	if self.sim_page != None:
590	self.sim_page.draw_page()
591
592	else:
593	model = fitproblem
594	self.fit_panel.add_model_page(model=model, topmenu=True,
595	reset= True)
596	break
597
598
599	def _reset_schedule_problem(self, value=0):
600	"""
601	unschedule or schedule all fitproblem to be fit
602	"""
603	for page, fitproblem in self.page_finder.iteritems():
604	fitproblem.schedule_tofit(value)
605
606	def _fit_helper(self,pars,value, id, title="Single Fit " ):
607	"""
608	helper for fitting
609	"""
610	metadata = value.get_fit_data()
611	model = value.get_model()
612	smearer = value.get_smearer()
613	qmin , qmax = value.get_range()
614	self.fit_id =id
615	#Create list of parameters for fitting used
616	templist=[]
617
618	try:
619	#Extra list of parameters and their constraints
620	listOfConstraint= []
621
622	param = value.get_model_param()
623	if len(param)>0:
624	for item in param:
625	## check if constraint
626	if item[0] !=None and item[1] != None:
627	listOfConstraint.append((item[0],item[1]))
628
629	#Do the single fit
630	self.fitter.set_model(model, self.fit_id,
631	pars,constraints = listOfConstraint)
632
633	self.fitter.set_data(data=metadata,Uid=self.fit_id,
634	smearer=smearer,qmin= qmin,qmax=qmax )
635	#print "self.fitter.set_data"
636	self.fitter.select_problem_for_fit(Uid= self.fit_id,
637	value= value.get_scheduled())
638	value.clear_model_param()
639	except:
640	msg= title +" error: %s" % sys.exc_value
641	wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
642	return
643
644	def _onSelect(self,event):
645	"""
646	when Select data to fit a new page is created .Its reference is
647	added to self.page_finder
648	"""
649	self.panel = event.GetEventObject()
650	Plugin.on_perspective(self,event=event)
651	for plottable in self.panel.graph.plottables:
652	if plottable.name == self.panel.graph.selected_plottable:
653	if plottable.__class__.__name__=="Theory1D":
654	dy=numpy.zeros(len(plottable.y))
655	if hasattr(plottable, "dy"):
656	dy= copy.deepcopy(plottable.dy)
657
658	item = self.copy_data(plottable, dy)
659	item.group_id += "data1D"
660	item.id +="data1D"
661	item.is_data = False
662	title = item.name
663	title = 'Data created from Theory'
664	wx.PostEvent(self.parent, NewPlotEvent(plot=item,
665	title=str(title),
666	reset=True))
667	else:
668	item= self.copy_data(plottable, plottable.dy)
669	item.is_data=True
670
671	## put the errors values back to the model if the errors were hiden
672	## before sending them to the fit engine
673	if len(self.err_dy)>0:
674	dy = item.dy
675	if item.name in self.err_dy.iterkeys():
676	dy = self.err_dy[item.name]
677	data = self.copy_data(item, dy)
678	data.is_data= item.is_data
679
680	else:
681	if item.dy==None:
682	dy= numpy.zeros(len(item.y))
683	data= self.copy_data(item, dy)
684	data.is_data=item.is_data
685	else:
686	data= self.copy_data(item,item.dy)
687	data.is_data=item.is_data
688	else:
689	## Data2D case
690	if not hasattr(plottable, "is_data"):
691	item= copy.deepcopy(plottable)
692	item.group_id += "data2D"
693	item.id +="data2D"
694	item.is_data= False
695	title = item.name
696	title += " Fit"
697	data = item
698	wx.PostEvent(self.parent, NewPlotEvent(plot=item, title=str(title)))
699	else:
700	item= copy.deepcopy(plottable )
701	data= copy.deepcopy(plottable )
702	item.is_data=True
703	data.is_data=True
704
705
706	## create anew page
707	if item.name == self.panel.graph.selected_plottable or\
708	item.__class__.__name__ is "Data2D":
709	try:
710	page = self.fit_panel.add_fit_page(data)
711	page.set_data(data)
712	# add data associated to the page created
713	if page != None:
714	#create a fitproblem storing all link to data,model,page creation
715	if not page in self.page_finder.keys():
716	self.page_finder[page]= FitProblem()
717	## item is almost the same as data but contains
718	## axis info for plotting
719	self.page_finder[page].add_plotted_data(item)
720	self.page_finder[page].add_fit_data(data)
721
722	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
723	else:
724	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
725	except:
726	raise
727	#wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
728	#%sys.exc_value))
729	return
730
731
732	def _updateFit(self):
733	"""
734	Is called when values of result are available
735	"""
736	##Sending a progess message to the status bar
737	wx.PostEvent(self.parent, StatusEvent(status="Computing..."))
738
739	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
740	"""
741	Display fit result on one page of the notebook.
742	@param result: result of fit
743	@param pars: list of names of parameters fitted
744	@param current_pg: the page where information will be displayed
745	@param qmin: the minimum value of x to replot the model
746	@param qmax: the maximum value of x to replot model
747
748	"""
749	try:
750	if result ==None:
751	msg= "Simple Fitting Stop !!!"
752	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
753	return
754	if not numpy.isfinite(result.fitness) or numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
755	msg= "Single Fitting did not converge!!!"
756	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
757	return
758	for page, value in self.page_finder.iteritems():
759	if page==cpage :
760	model= value.get_model()
761	break
762	param_name = []
763	i = 0
764	for name in pars:
765	param_name.append(name)
766
767	cpage.onsetValues(result.fitness,param_name, result.pvec,result.stderr)
768
769	except:
770	msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
771	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
772	return
773
774
775	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
776	"""
777	Parameter estimation completed,
778	display the results to the user
779	@param alpha: estimated best alpha
780	@param elapsed: computation time
781	"""
782	## fit more than 1 model at the same time
783	try:
784	msg = ""
785	if result ==None:
786	msg= "Complex Fitting Stop !!!"
787	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
788	return
789	if not numpy.isfinite(result.fitness) or numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
790	msg= "Single Fitting did not converge!!!"
791	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
792	return
793
794	for page, value in self.page_finder.iteritems():
795	"""
796	if format_number(result.fitness) == page.get_chi2():
797	#ToDo: Compare parameter inputs with outputs too.
798	wx.PostEvent(self.parent, StatusEvent(status="%s " % msg))
799	break
800	"""
801	if value.get_scheduled()==1:
802	model = value.get_model()
803	metadata = value.get_plotted_data()
804	small_param_name = []
805	small_out = []
806	small_cov = []
807	i = 0
808	#Separate result in to data corresponding to each page
809	for p in result.parameters:
810	model_name,param_name = self.split_string(p.name)
811	if model.name == model_name:
812	p_name= model.name+"."+param_name
813	if p.name == p_name:
814	if p.value != None and numpy.isfinite(p.value):
815	small_out.append(p.value )
816	small_param_name.append(param_name)
817	small_cov.append(p.stderr)
818
819	# Display result on each page
820	page.onsetValues(result.fitness, small_param_name,small_out,small_cov)
821	except:
822	msg= "Simultaneous Fit completed"
823	msg +=" but Following error occurred:%s"%sys.exc_value
824	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
825	return
826
827
828
829	def _on_show_panel(self, event):
830	print "_on_show_panel: fitting"
831
832
833	def _onset_engine_park(self,event):
834	"""
835	set engine to park
836	"""
837	Plugin.on_perspective(self,event=event)
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
899	## saving fit engine name
900	self._fit_engine = engine
901	## change menu item state
902	if engine=="park":
903	self.menu1.FindItemByPosition(0).Check(False)
904	self.menu1.FindItemByPosition(1).Check(True)
905	else:
906	self.menu1.FindItemByPosition(0).Check(True)
907	self.menu1.FindItemByPosition(1).Check(False)
908
909	## post a message to status bar
910	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
911
912	## Bind every open fit page with a newevent to know the current fitting engine
913	import fitpage
914	event= fitpage.FitterTypeEvent()
915	event.type = self._fit_engine
916	for key in self.page_finder.keys():
917	wx.PostEvent(key, event)
918
919
920	def _on_model_panel(self, evt):
921	"""
922	react to model selection on any combo box or model menu.plot the model
923	@param evt: wx.combobox event
924	"""
925	model = evt.model
926
927	if model == None:
928	return
929	model.origin_name = model.name
930	self.current_pg = self.fit_panel.get_current_page()
931	## make sure nothing is done on self.sim_page
932	## example trying to call set_panel on self.sim_page
933	if self.current_pg != self.sim_page :
934
935	if self.page_finder[self.current_pg].get_model()== None :
936
937	model.name="M"+str(self.index_model)
938	self.index_model += 1
939	else:
940	model.name= self.page_finder[self.current_pg].get_model().name
941
942	metadata = self.page_finder[self.current_pg].get_plotted_data()
943
944	# save the name containing the data name with the appropriate model
945	self.page_finder[self.current_pg].set_model(model)
946	qmin, qmax= self.current_pg.get_range()
947	self.page_finder[self.current_pg].set_range(qmin=qmin, qmax=qmax)
948	smearer= self.page_finder[self.current_pg].get_smearer()
949	# save model name
950	self.draw_model( model=model,smearer=smearer,
951	data= metadata, qmin=qmin, qmax=qmax)
952
953	if self.sim_page!=None:
954	self.sim_page.draw_page()
955
956
957
958	def _on_model_menu(self, evt):
959	"""
960	Plot a theory from a model selected from the menu
961	@param evt: wx.menu event
962	"""
963	model = evt.model
964	Plugin.on_perspective(self,event=evt)
965	# Create a model page. If a new page is created, the model
966	# will be plotted automatically. If a page already exists,
967	# the content will be updated and the plot refreshed
968	self.fit_panel.add_model_page(model,topmenu=True)
969
970
971
972
973	def _update1D(self,x, output):
974	"""
975	Update the output of plotting model 1D
976	"""
977	wx.PostEvent(self.parent, StatusEvent(status="Plot \
978	#updating ... ",type="update"))
979	self.ready_fit()
980	#self.calc_thread.ready(0.01)
981
982
983	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
984	"""
985	fill Data2D with default value
986	@param theory: Data2D to fill
987	"""
988	from DataLoader.data_info import Detector, Source
989
990	detector = Detector()
991	theory.detector.append(detector)
992	theory.source= Source()
993
994	## Default values
995	theory.detector[0].distance= 8000 # mm
996	theory.source.wavelength= 6 # A
997	theory.detector[0].pixel_size.x= 5 # mm
998	theory.detector[0].pixel_size.y= 5 # mm
999
1000	theory.detector[0].beam_center.x= qmax
1001	theory.detector[0].beam_center.y= qmax
1002
1003
1004	## create x_bins and y_bins of the model 2D
1005	pixel_width_x = theory.detector[0].pixel_size.x
1006	pixel_width_y = theory.detector[0].pixel_size.y
1007	center_x = theory.detector[0].beam_center.x/pixel_width_x
1008	center_y = theory.detector[0].beam_center.y/pixel_width_y
1009
1010	# theory default: assume the beam center is located at the center of sqr detector
1011	xmax = qmax
1012	xmin = -qmax
1013	ymax = qmax
1014	ymin = -qmax
1015
1016	x= numpy.linspace(start= -1*qmax,
1017	stop= qmax,
1018	num= qstep,
1019	endpoint=True )
1020	y = numpy.linspace(start= -1*qmax,
1021	stop= qmax,
1022	num= qstep,
1023	endpoint=True )
1024
1025	## use data info instead
1026	new_x = numpy.tile(x, (len(y),1))
1027	new_y = numpy.tile(y, (len(x),1))
1028	new_y = new_y.swapaxes(0,1)
1029
1030	# all data reuire now in 1d array
1031	qx_data = new_x.flatten()
1032	qy_data = new_y.flatten()
1033
1034	q_data = numpy.sqrt(qx_dataqx_data+qy_dataqy_data)
1035	# set all True (standing for unmasked) as default
1036	mask = numpy.ones(len(qx_data), dtype = bool)
1037
1038	# calculate the range of qx and qy: this way, it is a little more independent
1039	x_size = xmax- xmin
1040	y_size = ymax -ymin
1041
1042	# store x and y bin centers in q space
1043	x_bins = x
1044	y_bins = y
1045	# bin size: x- & y-directions
1046	xstep = x_size/len(x_bins-1)
1047	ystep = y_size/len(y_bins-1)
1048
1049	#theory.data = numpy.zeros(len(mask))
1050	theory.err_data = numpy.zeros(len(mask))
1051	theory.qx_data = qx_data
1052	theory.qy_data = qy_data
1053	theory.q_data = q_data
1054	theory.mask = mask
1055	theory.x_bins = x_bins
1056	theory.y_bins = y_bins
1057
1058	# max and min taking account of the bin sizes
1059	theory.xmin= xmin - xstep/2
1060	theory.xmax= xmax + xstep/2
1061	theory.ymin= ymin - ystep/2
1062	theory.ymax= ymax + ystep/2
1063	theory.group_id ="Model"
1064	theory.id ="Model"
1065
1066
1067	def _get_plotting_info(self, data=None):
1068	"""
1069	get plotting info from data if data !=None
1070	else use some default
1071	"""
1072	my_info = PlotInfo()
1073	if data !=None:
1074	if hasattr(data,"info"):
1075	x_name, x_units = data.get_xaxis()
1076	y_name, y_units = data.get_yaxis()
1077
1078	my_info._xunit = x_units
1079	my_info._xaxis = x_name
1080	my_info._yunit = y_units
1081	my_info._yaxis = y_name
1082
1083	my_info.title= data.name
1084	if hasattr(data, "info"):
1085	my_info.info= data.info
1086	if hasattr(data, "group_id"):
1087	my_info.group_id= data.group_id
1088
1089	return my_info
1090
1091
1092	def _complete1D(self, x,y, elapsed,model,data=None):
1093	"""
1094	Complete plotting 1D data
1095	"""
1096	try:
1097	new_plot = Theory1D(x=x, y=y)
1098	my_info = self._get_plotting_info( data)
1099	new_plot.name = model.name
1100	new_plot.id = my_info.id
1101	new_plot.group_id = my_info.group_id
1102
1103	new_plot.xaxis( my_info._xaxis, my_info._xunit)
1104	new_plot.yaxis( my_info._yaxis, my_info._yunit)
1105	if data!=None:
1106	if new_plot.id == data.id:
1107	new_plot.id += "Model"
1108	new_plot.is_data =False
1109
1110	title= new_plot.name
1111	#new_plot.perspective = self.get_perspective()
1112	# Pass the reset flag to let the plotting event handler
1113	# know that we are replacing the whole plot
1114	if title== None:
1115	title = "Analytical model 1D "
1116	if data ==None:
1117	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1118	title=str(title), reset=True))
1119	else:
1120	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1121	title= str(title)))
1122	msg = "Plot 1D complete !"
1123	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1124	except:
1125	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
1126	msg+= " %s"%sys.exc_value
1127	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" ))
1128	return
1129
1130	def _update2D(self, output,time=None):
1131	"""
1132	Update the output of plotting model
1133	"""
1134	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1135	#updating ... ",type="update"))
1136	self.ready_fit()
1137	#self.calc_thread.ready(0.01)
1138
1139
1140	def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS):
1141	"""
1142	Complete get the result of modelthread and create model 2D
1143	that can be plot.
1144	"""
1145	err_image = numpy.zeros(numpy.shape(image))
1146
1147	theory= Data2D(image= image , err_image= err_image)
1148	theory.name= model.name
1149
1150	if data ==None:
1151	self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin)
1152
1153	else:
1154	theory.id= data.id+"Model"
1155	theory.group_id= data.name+"Model"
1156	theory.x_bins= data.x_bins
1157	theory.y_bins= data.y_bins
1158	theory.detector= data.detector
1159	theory.source= data.source
1160	theory.is_data =False
1161	theory.qx_data = data.qx_data
1162	theory.qy_data = data.qy_data
1163	theory.q_data = data.q_data
1164	theory.err_data = data.err_data
1165	theory.mask = data.mask
1166	## plot boundaries
1167	theory.ymin= data.ymin
1168	theory.ymax= data.ymax
1169	theory.xmin= data.xmin
1170	theory.xmax= data.xmax
1171
1172
1173	## plot
1174	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1175	title="Analytical model 2D ", reset=True ))
1176	msg = "Plot 2D complete !"
1177	wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" ))
1178
1179	def _on_data_error(self, event):
1180	"""
1181	receives and event from plotting plu-gins to store the data name and
1182	their errors of y coordinates for 1Data hide and show error
1183	"""
1184	self.err_dy = event.err_dy
1185
1186
1187	def _draw_model2D(self,model,data=None,description=None, enable2D=False,
1188	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1189	"""
1190	draw model in 2D
1191	@param model: instance of the model to draw
1192	@param description: the description of the model
1193	@param enable2D: when True allows to draw model 2D
1194	@param qmin: the minimum value to draw model 2D
1195	@param qmax: the maximum value to draw model 2D
1196	@param qstep: the number of division of Qx and Qy of the model to draw
1197
1198	"""
1199	x= numpy.linspace(start= -1*qmax,
1200	stop= qmax,
1201	num= qstep,
1202	endpoint=True )
1203	y = numpy.linspace(start= -1*qmax,
1204	stop= qmax,
1205	num= qstep,
1206	endpoint=True )
1207	## use data info instead
1208	if data !=None:
1209	## check if data2D to plot
1210	if hasattr(data, "x_bins"):
1211	enable2D = True
1212	x= data.x_bins
1213	y= data.y_bins
1214
1215	if not enable2D:
1216	return
1217	try:
1218	from model_thread import Calc2D
1219	## If a thread is already started, stop it
1220	if self.calc_2D != None and self.calc_2D.isrunning():
1221	self.calc_2D.stop()
1222	self.calc_2D = Calc2D( x= x,
1223	y= y,
1224	model= model,
1225	data = data,
1226	qmin= qmin,
1227	qmax= qmax,
1228	qstep= qstep,
1229	completefn= self._complete2D,
1230	updatefn= self._update2D )
1231	self.calc_2D.queue()
1232
1233	except:
1234	msg= " Error occurred when drawing %s Model 2D: "%model.name
1235	msg+= " %s"%sys.exc_value
1236	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1237	return
1238
1239	def _draw_model1D(self, model, data=None, smearer= None,
1240	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1241	"""
1242	Draw model 1D from loaded data1D
1243	@param data: loaded data
1244	@param model: the model to plot
1245	"""
1246	x= numpy.linspace(start= qmin,
1247	stop= qmax,
1248	num= qstep,
1249	endpoint=True
1250	)
1251	if data!=None:
1252	## check for data2D
1253	if hasattr(data,"x_bins"):
1254	return
1255	x = data.x
1256	if qmin == DEFAULT_QMIN :
1257	qmin = min(data.x)
1258	if qmax == DEFAULT_QMAX:
1259	qmax = max(data.x)
1260
1261
1262	if not enable1D:
1263	return
1264
1265	try:
1266	from model_thread import Calc1D
1267	## If a thread is already started, stop it
1268	if self.calc_1D!= None and self.calc_1D.isrunning():
1269	self.calc_1D.stop()
1270	self.calc_1D= Calc1D( x= x,
1271	data = data,
1272	model= model,
1273	qmin = qmin,
1274	qmax = qmax,
1275	smearer = smearer,
1276	completefn = self._complete1D,
1277	updatefn = self._update1D )
1278	self.calc_1D.queue()
1279
1280	except:
1281	msg= " Error occurred when drawing %s Model 1D: "%model.name
1282	msg+= " %s"%sys.exc_value
1283	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1284	return
1285
1286
1287	def profile(fn, args, *kw):
1288	import cProfile, pstats, os
1289	global call_result
1290	def call():
1291	global call_result
1292	call_result = fn(args, *kw)
1293	cProfile.runctx('call()', dict(call=call), {}, 'profile.out')
1294	stats = pstats.Stats('profile.out')
1295	stats.sort_stats('time')
1296	#stats.sort_stats('calls')
1297	stats.print_stats()
1298	os.unlink('profile.out')
1299	return call_result
1300	if __name__ == "__main__":
1301	i = Plugin()
1302
1303
1304
1305

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 509af3d

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