fitting.py @ b0e8beb

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 b0e8beb was bb9f322, checked in by Gervaise Alina <gervyh@…>, 14 years ago
make the model manager a singleton
Property mode set to `100644`
File size: 62.5 KB

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1
2
3	################################################################################
4	#This software was developed by the University of Tennessee as part of the
5	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
6	#project funded by the US National Science Foundation.
7	#
8	#See the license text in license.txt
9	#
10	#copyright 2009, University of Tennessee
11	################################################################################
12
13
14	import re
15	import sys
16	import wx
17	import logging
18	import numpy
19	import string
20	import time
21	from copy import deepcopy
22	import models
23	import fitpage
24
25
26	from DataLoader.loader import Loader
27	from sans.guiframe.dataFitting import Data2D
28	from sans.guiframe.dataFitting import Data1D
29	from sans.guiframe.events import NewPlotEvent
30	from sans.guiframe.events import StatusEvent
31	from sans.guiframe.events import EVT_SLICER_PANEL
32	from sans.guiframe.events import EVT_REMOVE_DATA
33	from sans.guiframe.events import EVT_SLICER_PARS_UPDATE
34	from sans.guiframe.gui_style import GUIFRAME_ID
35	from sans.guiframe.plugin_base import PluginBase
36
37	from .console import ConsoleUpdate
38	from .fitproblem import FitProblem
39	from .fitpanel import FitPanel
40	from .fit_thread import FitThread
41	from .pagestate import Reader
42	from .fitpage import Chi2UpdateEvent
43
44	DEFAULT_BEAM = 0.005
45	DEFAULT_QMIN = 0.001
46	DEFAULT_QMAX = 0.13
47	DEFAULT_NPTS = 50
48	MAX_NBR_DATA = 4
49
50
51	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
52
53
54
55	class Plugin(PluginBase):
56	"""
57	Fitting plugin is used to perform fit
58	"""
59	def __init__(self, standalone=False):
60	PluginBase.__init__(self, name="Fitting", standalone=standalone)
61
62	#list of panel to send to guiframe
63	self.mypanels = []
64	# reference to the current running thread
65	self.calc_2D = None
66	self.calc_1D = None
67	self.fit_thread_list = {}
68	self.residuals = None
69	self.fit_panel = None
70	# Start with a good default
71	self.elapsed = 0.022
72	# the type of optimizer selected, park or scipy
73	self.fitter = None
74	self.fit_panel = None
75	#let fit ready
76	self.fitproblem_count = None
77	#Flag to let the plug-in know that it is running stand alone
78	self.standalone = True
79	## dictionary of page closed and id
80	self.closed_page_dict = {}
81	## Fit engine
82	self._fit_engine = 'scipy'
83	## Relative error desired in the sum of squares (float); scipy only
84	self.ftol=1.49012e-08
85	#List of selected data
86	self.selected_data_list = []
87	## list of slicer panel created to display slicer parameters and results
88	self.slicer_panels = []
89	# model 2D view
90	self.model2D_id = None
91	#keep reference of the simultaneous fit page
92	self.sim_page = None
93	self.index_model = 0
94	#Create a reader for fit page's state
95	self.state_reader = None
96	self._extensions = '.fitv'
97	self.temp_state = []
98	self.state_index = 0
99	self.sfile_ext = None
100	# take care of saving data, model and page associated with each other
101	self.page_finder = {}
102	# Log startup
103	logging.info("Fitting plug-in started")
104
105	def populate_menu(self, owner):
106	"""
107	Create a menu for the Fitting plug-in
108
109	:param id: id to create a menu
110	:param owner: owner of menu
111
112	:return: list of information to populate the main menu
113
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 = "Simultaneous Fit"
135	self.menu1.Append(id1, '&Simultaneous Fit',simul_help)
136	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
137
138	id1 = wx.NewId()
139	simul_help = "Add new fit page"
140	self.menu1.Append(id1, '&Create New Page',simul_help)
141	wx.EVT_MENU(owner, id1, self.on_add_new_page)
142
143	#create menubar items
144	return [(self.menu1, "FitEngine")]
145
146	def on_add_sim_page(self, event):
147	"""
148	Create a page to access simultaneous fit option
149	"""
150	if self.sim_page != None:
151	msg= "Simultaneous Fit page already opened"
152	wx.PostEvent(self.parent, StatusEvent(status= msg))
153	return
154
155	self.sim_page= self.fit_panel.add_sim_page()
156
157	def help(self, evt):
158	"""
159	Show a general help dialog.
160	"""
161	from help_panel import HelpWindow
162	frame = HelpWindow(None, -1, 'HelpWindow')
163	frame.Show(True)
164
165	def get_context_menu(self, plotpanel=None):
166	"""
167	Get the context menu items available for P(r).them allow fitting option
168	for Data2D and Data1D only.
169
170	:param graph: the Graph object to which we attach the context menu
171
172	:return: a list of menu items with call-back function
173
174	:note: if Data1D was generated from Theory1D
175	the fitting option is not allowed
176
177	"""
178	graph = plotpanel.graph
179	fit_option = "Select data for fitting"
180	fit_hint = "Dialog with fitting parameters "
181
182	if graph.selected_plottable not in plotpanel.plots:
183	return []
184	item = plotpanel.plots[graph.selected_plottable]
185	if item.__class__.__name__ is "Data2D":
186	if hasattr(item,"is_data"):
187	if item.is_data:
188	return [[fit_option, fit_hint, self._onSelect]]
189	else:
190	return []
191	return [[fit_option, fit_hint, self._onSelect]]
192	else:
193
194	# if is_data is true , this in an actual data loaded
195	#else it is a data created from a theory model
196	if hasattr(item,"is_data"):
197	if item.is_data:
198	return [[fit_option, fit_hint,
199	self._onSelect]]
200	else:
201	return []
202	return []
203
204
205	def get_panels(self, parent):
206	"""
207	Create and return a list of panel objects
208	"""
209	self.parent = parent
210	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
211	# Creation of the fit panel
212	self.fit_panel = FitPanel(parent=self.parent, manager=self)
213	self.on_add_new_page(event=None)
214	#Set the manager for the main panel
215	self.fit_panel.set_manager(self)
216	# List of windows used for the perspective
217	self.perspective = []
218	self.perspective.append(self.fit_panel.window_name)
219
220	#index number to create random model name
221	self.index_model = 0
222	self.index_theory= 0
223	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
224
225	self.parent.Bind(EVT_REMOVE_DATA, self._closed_fitpage)
226	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
227	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
228	#Create reader when fitting panel are created
229	self.state_reader = Reader(self.set_state)
230	#append that reader to list of available reader
231	loader = Loader()
232	loader.associate_file_reader(".fitv", self.state_reader)
233	loader.associate_file_reader(".svs", self.state_reader)
234	from sans.perspectives.calculator.sld_panel import SldPanel
235	#Send the fitting panel to guiframe
236	self.mypanels.append(self.fit_panel)
237	self.mypanels.append(SldPanel(parent=self.parent, base=self.parent))
238	return self.mypanels
239
240	def clear_panel(self):
241	"""
242	"""
243	self.fit_panel.clear_panel()
244
245	def set_default_perspective(self):
246	"""
247	Call back method that True to notify the parent that the current plug-in
248	can be set as default perspective.
249	when returning False, the plug-in is not candidate for an automatic
250	default perspective setting
251	"""
252	return True
253
254	def delete_data(self, data):
255	"""
256	delete the given data from panel
257	"""
258	self.fit_panel.delete_data(data)
259
260	def set_data(self, data_list=None):
261	"""
262	receive a list of data to fit
263	"""
264	if data_list is None:
265	data_list = []
266	selected_data_list = []
267	if len(data_list) > MAX_NBR_DATA :
268	from fitting_widgets import DataDialog
269	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
270	if dlg.ShowModal() == wx.ID_OK:
271	selected_data_list = dlg.get_data()
272	else:
273	selected_data_list = data_list
274	try:
275	for data in selected_data_list:
276	self.add_fit_page(data=data)
277	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
278	title=str(data.title)))
279	except:
280	raise
281	#msg = "Fitting Set_data: " + str(sys.exc_value)
282	#wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
283
284	def set_theory(self, theory_list=None):
285	"""
286	"""
287	#set the model state for a given theory_state:
288	for item in theory_list:
289	try:
290	_, theory_state = item
291	self.fit_panel.set_model_state(theory_state)
292	except:
293	msg = "Fitting: cannot deal with the theory received"
294	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
295	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
296
297	def set_state(self, state=None, datainfo=None, format=None):
298	"""
299	Call-back method for the fit page state reader.
300	This method is called when a .fitv/.svs file is loaded.
301
302	: param state: PageState object
303	: param datainfo: data
304	"""
305	#state = self.state_reader.get_state()
306	if state != None:
307	# store fitting state in temp_state
308	self.temp_state.append(state)
309	else:
310	self.temp_state = []
311	# index to start with for a new set_state
312	self.state_index = 0
313	# state file format
314	self.sfile_ext = format
315
316	self.on_set_state_helper(event=None)
317
318	def on_set_state_helper(self,event=None):
319	"""
320	Set_state_helper. This actually sets state after plotting data from state file.
321
322	: event: FitStateUpdateEvent called by dataloader.plot_data from guiframe
323	"""
324	if len(self.temp_state) == 0:
325	if self.state_index==0 and len(self.mypanels) <= 0 and self.sfile_ext =='.svs':
326	self.fit_panel.add_default_pages()
327	self.temp_state = []
328	self.state_index = 0
329	return
330
331	try:
332	# Load fitting state
333	state = self.temp_state[self.state_index]
334	#panel state should have model selection to set_state
335	if state.formfactorcombobox != None:
336	#set state
337	data = self.parent.create_gui_data(state.data)
338
339	data.group_id = state.data.group_id
340	self.parent.add_data(data_list={data.id:data})
341	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
342	title=data.title))
343	#need to be fix later make sure we are sendind guiframe.data
344	#to panel
345	state.data = data
346	page = self.fit_panel.set_state(state)
347	else:
348	#just set data because set_state won't work
349	data = self.parent.create_gui_data(state.data)
350	data.group_id = state.data.group_id
351	self.parent.add_data(data_list={data.id:data})
352	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
353	title=data.title))
354	self.add_fit_page(data)
355	caption = panel.window_name
356	self.store_data(page=panel.id, data=data, caption=caption)
357	self.mypanels.append(panel)
358
359	# get ready for the next set_state
360	self.state_index += 1
361
362	#reset state variables to default when all set_state is finished.
363	if len(self.temp_state) == self.state_index:
364
365	self.temp_state = []
366	#self.state_index = 0
367	# Make sure the user sees the fitting panel after loading
368	#self.parent.set_perspective(self.perspective)
369	self.on_perspective(event=None)
370	except:
371	self.state_index==0
372	self.temp_state = []
373	raise
374
375	def save_fit_state(self, filepath, fitstate):
376	"""
377	save fit page state into file
378	"""
379	self.state_reader.write(filename=filepath, fitstate=fitstate)
380
381	def set_fit_range(self, uid, qmin, qmax):
382	"""
383	Set the fitting range of a given page
384	"""
385	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
386
387	def schedule_for_fit(self,value=0, uid=None,fitproblem =None):
388	"""
389	Set the fit problem field to 0 or 1 to schedule that problem to fit.
390	Schedule the specified fitproblem or get the fit problem related to
391	the current page and set value.
392
393	:param value: integer 0 or 1
394	:param fitproblem: fitproblem to schedule or not to fit
395
396	"""
397	if fitproblem !=None:
398	fitproblem.schedule_tofit(value)
399	else:
400	self.page_finder[uid].schedule_tofit(value)
401
402	def get_page_finder(self):
403	"""
404	return self.page_finder used also by simfitpage.py
405	"""
406	return self.page_finder
407
408	def set_page_finder(self,modelname,names,values):
409	"""
410	Used by simfitpage.py to reset a parameter given the string constrainst.
411
412	:param modelname: the name ot the model for with the parameter has to reset
413	:param value: can be a string in this case.
414	:param names: the paramter name
415
416	:note: expecting park used for fit.
417
418	"""
419	sim_page_id = self.sim_page.uid
420	for uid, value in self.page_finder.iteritems():
421	if uid != sim_page_id:
422	list = value.get_model()
423	model = list[0]
424	if model.name == modelname:
425	value.set_model_param(names, values)
426	break
427
428	def split_string(self,item):
429	"""
430	receive a word containing dot and split it. used to split parameterset
431	name into model name and parameter name example: ::
432
433	paramaterset (item) = M1.A
434	Will return model_name = M1 , parameter name = A
435
436	"""
437	if string.find(item,".")!=-1:
438	param_names= re.split("\.",item)
439	model_name=param_names[0]
440	##Assume max len is 3; eg., M0.radius.width
441	if len(param_names) == 3:
442	param_name=param_names[1]+"."+param_names[2]
443	else:
444	param_name=param_names[1]
445	return model_name,param_name
446
447	def set_ftol(self, ftol=None):
448	"""
449	Set ftol: Relative error desired in the sum of chi squares.
450	"""
451	# check if it is flaot
452	try:
453	f_tol = float(ftol)
454	except:
455	# default
456	f_tol = 1.49012e-08
457
458	self.ftol = f_tol
459
460	def stop_fit(self, uid):
461	"""
462	Stop the fit engine
463	"""
464	if uid in self.fit_thread_list.keys():
465	calc_fit = self.fit_thread_list[uid]
466	if calc_fit is not None and calc_fit.isrunning():
467	calc_fit.stop()
468	msg = "Fit stop!"
469	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
470	#set the fit button label of page when fit stop is trigger from
471	#simultaneous fit pane
472	if self.sim_page is not None and uid == self.sim_page.uid:
473	for uid, value in self.page_finder.iteritems():
474	if value.get_scheduled() == 1:
475	if uid in self.fit_panel.opened_pages.keys():
476	panel = self.fit_panel.opened_pages[uid]
477	panel. _on_fit_complete()
478
479	def set_smearer(self, uid, smearer, qmin=None, qmax=None, draw=True):
480	"""
481	Get a smear object and store it to a fit problem
482
483	:param smearer: smear object to allow smearing data
484
485	"""
486	if uid not in self.page_finder.keys():
487	msg = "Cannot find ID: %s in page_finder" % str(uid)
488	raise ValueError, msg
489	self.page_finder[uid].set_smearer(smearer)
490	if draw:
491	## draw model 1D with smeared data
492	data = self.page_finder[uid].get_fit_data()
493	model = self.page_finder[uid].get_model()
494	if model is None:
495	return
496	## if user has already selected a model to plot
497	## redraw the model with data smeared
498	smear = self.page_finder[uid].get_smearer()
499	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
500	qmin=qmin, qmax=qmax)
501
502	def draw_model(self, model, page_id, data=None, smearer=None,
503	enable1D=True, enable2D=False,
504	state=None,
505	toggle_mode_on=False,
506	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX,
507	qstep=DEFAULT_NPTS,
508	update_chisqr=True):
509	"""
510	Draw model.
511
512	:param model: the model to draw
513	:param name: the name of the model to draw
514	:param data: the data on which the model is based to be drawn
515	:param description: model's description
516	:param enable1D: if true enable drawing model 1D
517	:param enable2D: if true enable drawing model 2D
518	:param qmin: Range's minimum value to draw model
519	:param qmax: Range's maximum value to draw model
520	:param qstep: number of step to divide the x and y-axis
521	:param update_chisqr: update chisqr [bool]
522
523	"""
524	if data.__class__.__name__ == "Data1D" or not enable2D:
525	## draw model 1D with no loaded data
526
527	self._draw_model1D(model=model,
528	data=data,
529	page_id=page_id,
530	enable1D=enable1D,
531	smearer=smearer,
532	qmin=qmin,
533	qmax=qmax,
534	toggle_mode_on=toggle_mode_on,
535	state=state,
536	qstep=qstep,
537	update_chisqr=update_chisqr)
538	else:
539	## draw model 2D with no initial data
540	self._draw_model2D(model=model,
541	page_id=page_id,
542	data=data,
543	enable2D=enable2D,
544	smearer=smearer,
545	qmin=qmin,
546	qmax=qmax,
547	state=state,
548	toggle_mode_on=toggle_mode_on,
549	qstep=qstep,
550	update_chisqr=update_chisqr)
551
552	def onFit(self):
553	"""
554	perform fit
555	"""
556	## count the number of fitproblem schedule to fit
557	fitproblem_count = 0
558	for value in self.page_finder.values():
559	if value.get_scheduled() == 1:
560	fitproblem_count += 1
561
562	## if simultaneous fit change automatically the engine to park
563	if fitproblem_count > 1:
564	self._on_change_engine(engine='park')
565
566	self.fitproblem_count = fitproblem_count
567
568	from sans.fit.Fitting import Fit
569	fitter = Fit(self._fit_engine)
570
571	if self._fit_engine == "park":
572	engineType = "Simultaneous Fit"
573	else:
574	engineType = "Single Fit"
575
576	fproblemId = 0
577	self.current_pg = None
578	list_page_id = []
579	for page_id, value in self.page_finder.iteritems():
580	try:
581	if value.get_scheduled() == 1:
582	#Get list of parameters name to fit
583	pars = []
584	templist = []
585
586	page = self.fit_panel.get_page_by_id(page_id)
587	templist = page.get_param_list()
588	for element in templist:
589	name = str(element[1])
590	pars.append(name)
591	#Set Engine (model , data) related to the page on
592	self._fit_helper(value=value, pars=pars,
593	fitter=fitter,
594	fitproblem_id=fproblemId,
595	title=engineType)
596	list_page_id.append(page_id)
597	fproblemId += 1
598	current_page_id = page_id
599	except:
600	raise
601	#msg= "%s error: %s" % (engineType, sys.exc_value)
602	#wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
603	# type="stop"))
604	#return
605	## If a thread is already started, stop it
606	#if self.calc_fit!= None and self.calc_fit.isrunning():
607	# self.calc_fit.stop()
608	#Handler used for park engine displayed message
609	handler = ConsoleUpdate(parent=self.parent,
610	manager=self,
611	improvement_delta=0.1)
612
613	## perform single fit
614	if fitproblem_count == 1:
615	calc_fit = FitThread(handler = handler,
616	fn=fitter,
617	pars=pars,
618	page_id=list_page_id,
619	completefn=self._single_fit_completed,
620	ftol=self.ftol)
621	else:
622	current_page_id = self.sim_page.uid
623	## Perform more than 1 fit at the time
624	calc_fit = FitThread(handler=handler,
625	fn=fitter,
626	page_id=list_page_id,
627	updatefn=handler.update_fit,
628	ftol=self.ftol)
629	self.fit_thread_list[current_page_id] = calc_fit
630	calc_fit.queue()
631	self.ready_fit(calc_fit=calc_fit)
632
633
634	def ready_fit(self, calc_fit):
635	"""
636	Ready for another fit
637	"""
638	if self.fitproblem_count != None and self.fitproblem_count > 1:
639	calc_fit.ready(2.5)
640
641	else:
642	time.sleep(0.4)
643
644	def remove_plot(self, uid, theory=False):
645	"""
646	remove model plot when a fit page is closed
647	"""
648	fitproblem = self.page_finder[uid]
649	data = fitproblem.get_fit_data()
650	model = fitproblem.get_model()
651	plot_id = None
652	if model is not None:
653	plot_id = data.id + name
654	if theory:
655	plot_id = data.id
656	group_id = data.group_id
657	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
658	group_id=group_id,
659	action='remove'))
660
661	def store_data(self, uid, data=None, caption=None):
662	"""
663	Helper to save page reference into the plug-in
664
665	:param page: page to store
666
667	"""
668	#create a fitproblem storing all link to data,model,page creation
669	if not uid in self.page_finder.keys():
670	self.page_finder[uid] = FitProblem()
671	self.page_finder[uid].set_fit_data(data)
672	self.page_finder[uid].set_fit_tab_caption(caption)
673
674	def on_add_new_page(self, event=None):
675	"""
676	ask fit panel to create a new empty page
677	"""
678	try:
679	page = self.fit_panel.add_empty_page()
680	page_caption = page.window_name
681	# add data associated to the page created
682	if page != None:
683	self.store_data(uid=page.uid, caption=page_caption,
684	data=page.get_data())
685	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
686	info="info"))
687	else:
688	msg = "Page was already Created"
689	wx.PostEvent(self.parent, StatusEvent(status=msg,
690	info="warning"))
691	except:
692	raise
693	#msg = "Creating Fit page: %s"%sys.exc_value
694	#wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
695
696
697	def add_fit_page(self, data):
698	"""
699	given a data, ask to the fitting panel to create a new fitting page,
700	get this page and store it into the page_finder of this plug-in
701	"""
702	page = self.fit_panel.set_data(data)
703	page_caption = page.window_name
704	#append Data1D to the panel containing its theory
705	#if theory already plotted
706	if page.uid in self.page_finder:
707	theory_data = self.page_finder[page.uid].get_theory_data()
708	if issubclass(data.__class__, Data2D):
709	data.group_id = wx.NewId()
710	if theory_data is not None:
711	group_id = str(page.uid) + " Model1D"
712	wx.PostEvent(self.parent,
713	NewPlotEvent(group_id=group_id,
714	action="delete"))
715	self.parent.update_data(prev_data=theory_data, new_data=data)
716	else:
717	if theory_data is not None:
718	group_id = str(page.uid) + " Model2D"
719	data.group_id = theory_data.group_id
720	wx.PostEvent(self.parent,
721	NewPlotEvent(group_id=group_id,
722	action="delete"))
723	self.parent.update_data(prev_data=theory_data, new_data=data)
724
725	self.store_data(uid=page.uid, data=data, caption=page.window_name)
726	if self.sim_page is not None:
727	self.sim_page.draw_page()
728
729	def _onEVT_SLICER_PANEL(self, event):
730	"""
731	receive and event telling to update a panel with a name starting with
732	event.panel_name. this method update slicer panel for a given interactor.
733
734	:param event: contains type of slicer , paramaters for updating the panel
735	and panel_name to find the slicer 's panel concerned.
736	"""
737	for item in self.parent.panels:
738	if self.parent.panels[item].window_caption.startswith(event.panel_name):
739	self.parent.panels[item].set_slicer(event.type, event.params)
740
741	self.parent._mgr.Update()
742
743	def _closed_fitpage(self, event):
744	"""
745	request fitpanel to close a given page when its unique data is removed
746	from the plot. close fitpage only when the a loaded data is removed
747	"""
748	if event is None or event.data is None:
749	return
750	if hasattr(event.data,"is_data"):
751	if not event.data.is_data or \
752	event.data.__class__.__name__ == "Data1D":
753	self.fit_panel.close_page_with_data(event.data)
754
755	def _add_page_onmenu(self, name, fitproblem=None):
756	"""
757	Add name of a closed page of fitpanel in a menu
758	"""
759	list = self.menu1.GetMenuItems()
760	for item in list:
761	if name == item.GetItemLabel():
762	self.closed_page_dict[name][1] = fitproblem
763
764	if not name in self.closed_page_dict.keys():
765	# Post paramters
766	event_id = wx.NewId()
767	self.menu1.Append(event_id, name, "Show %s fit panel" % name)
768	self.closed_page_dict[name]= [event_id, fitproblem]
769	wx.EVT_MENU(self.parent, event_id, self._open_closed_page)
770
771	def _open_closed_page(self, event):
772	"""
773	reopen a closed page
774	"""
775	for name, value in self.closed_page_dict.iteritems():
776	if event.GetId() in value:
777	uid,fitproblem = value
778	if name !="Model":
779	data= fitproblem.get_fit_data()
780	page = self.fit_panel.add_fit_page(data=data, reset=True)
781	if fitproblem != None:
782	self.page_finder[uid] = fitproblem
783	if self.sim_page != None:
784	self.sim_page.draw_page()
785
786	else:
787	model = fitproblem
788	self.fit_panel.add_model_page(model=model, topmenu=True,
789	reset= True)
790	break
791
792	def _reset_schedule_problem(self, value=0):
793	"""
794	unschedule or schedule all fitproblem to be fit
795	"""
796	for page_id in self.page_finder.keys():
797	self.page_finder[page_id].schedule_tofit(value)
798
799	def _fit_helper(self, pars, value, fitproblem_id,fitter, title="Single Fit " ):
800	"""
801	helper for fitting
802	"""
803	metadata = value.get_fit_data()
804	model = value.get_model()
805	smearer = value.get_smearer()
806	qmin, qmax = value.get_range()
807	self.fit_id = fitproblem_id
808	#Create list of parameters for fitting used
809	templist = []
810
811	try:
812	#Extra list of parameters and their constraints
813	listOfConstraint = []
814
815	param = value.get_model_param()
816	if len(param) > 0:
817	for item in param:
818	## check if constraint
819	if item[0] != None and item[1] != None:
820	listOfConstraint.append((item[0],item[1]))
821
822	#Do the single fit
823	fitter.set_model(model, self.fit_id,
824	pars, constraints=listOfConstraint)
825
826	fitter.set_data(data=metadata, id=self.fit_id,
827	smearer=smearer, qmin=qmin, qmax=qmax)
828
829	fitter.select_problem_for_fit(id=self.fit_id,
830	value=value.get_scheduled())
831	value.clear_model_param()
832	except:
833	raise
834	#msg = title + " error: %s" % sys.exc_value
835	#wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
836
837	def _onSelect(self,event):
838	"""
839	when Select data to fit a new page is created .Its reference is
840	added to self.page_finder
841	"""
842	self.panel = event.GetEventObject()
843	Plugin.on_perspective(self, event=event)
844	for plottable in self.panel.graph.plottables:
845	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
846	if plottable.name == self.panel.graph.selected_plottable:
847	data = plottable
848	self.add_fit_page(data=data)
849	return
850	else:
851	data = plottable
852	self.add_fit_page(data=data)
853
854	def update_fit(self, result=None, msg=""):
855	"""
856	"""
857	print "update_fit result", result
858
859	def _single_fit_completed(self, result, pars, page_id, elapsed=None):
860	"""
861	Display fit result on one page of the notebook.
862
863	:param result: result of fit
864	:param pars: list of names of parameters fitted
865	:param current_pg: the page where information will be displayed
866	:param qmin: the minimum value of x to replot the model
867	:param qmax: the maximum value of x to replot model
868
869	"""
870	try:
871	if result == None:
872	msg= "Single Fitting did not converge!!!"
873	wx.PostEvent(self.parent,
874	StatusEvent(status=msg,
875	info="warning",
876	type="stop"))
877	return
878	if not numpy.isfinite(result.fitness) or \
879	numpy.any(result.pvec == None) or \
880	not numpy.all(numpy.isfinite(result.pvec)):
881	msg = "Single Fitting did not converge!!!"
882	wx.PostEvent(self.parent,
883	StatusEvent(status=msg,
884	info="warning",
885	type="stop"))
886	return
887	for uid in page_id:
888	value = self.page_finder[uid]
889	model = value.get_model()
890	page_id = uid
891
892	param_name = []
893	for name in pars:
894	param_name.append(name)
895
896	cpage = self.fit_panel.get_page_by_id(uid)
897	cpage.onsetValues(result.fitness,
898	param_name, result.pvec,result.stderr)
899	cpage._on_fit_complete()
900
901	except ValueError:
902	msg = "Single Fitting did not converge!!!"
903	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
904	type="stop"))
905	return
906	except:
907	raise
908	#msg = "Single Fit completed but Following"
909	#msg += " error occurred:%s" % sys.exc_value
910	#wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
911	# type="stop"))
912	return
913
914	def _simul_fit_completed(self, result, page_id,pars=None, elapsed=None):
915	"""
916	Parameter estimation completed,
917	display the results to the user
918
919	:param alpha: estimated best alpha
920	:param elapsed: computation time
921
922	"""
923	if page_id is None:
924	page_id = []
925	## fit more than 1 model at the same time
926	try:
927	msg = ""
928	if result == None:
929	msg= "Complex Fitting did not converge!!!"
930	wx.PostEvent(self.parent, StatusEvent(status=msg,
931	type="stop"))
932	return
933	if not numpy.isfinite(result.fitness) or \
934	numpy.any(result.pvec == None) or not \
935	numpy.all(numpy.isfinite(result.pvec)):
936	msg= "Simultaneous Fitting did not converge!!!"
937	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
938	return
939
940	for uid in page_id:
941	value = self.page_finder[uid]
942	model = value.get_model()
943	data = value.get_fit_data()
944	small_param_name = []
945	small_out = []
946	small_cov = []
947	#Separate result in to data corresponding to each page
948	for p in result.parameters:
949	model_name, param_name = self.split_string(p.name)
950	if model.name == model_name:
951	p_name= model.name+"."+param_name
952	if p.name == p_name:
953	if p.value != None and numpy.isfinite(p.value):
954	small_out.append(p.value)
955	small_param_name.append(param_name)
956	small_cov.append(p.stderr)
957	# Display result on each page
958	cpage = self.fit_panel.get_page_by_id(uid)
959	cpage.onsetValues(result.fitness,
960	small_param_name,
961	small_out,small_cov)
962	cpage._on_fit_complete()
963
964	except Exception:
965	msg = "Complex Fitting did not converge!!!"
966	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
967	type="stop"))
968	return
969
970	except:
971	msg = "Simultaneous Fit completed"
972	msg += " but Following error occurred:%s" % sys.exc_value
973	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
974
975	def _on_show_panel(self, event):
976	"""
977	"""
978	pass
979
980	def _onset_engine_park(self,event):
981	"""
982	set engine to park
983	"""
984	self._on_change_engine('park')
985
986	def _onset_engine_scipy(self,event):
987	"""
988	set engine to scipy
989	"""
990	self._on_change_engine('scipy')
991
992	def _on_slicer_event(self, event):
993	"""
994	Receive a panel as event and send it to guiframe
995
996	:param event: event containing a panel
997
998	"""
999	if event.panel is not None:
1000	new_panel = event.panel
1001	self.slicer_panels.append(event.panel)
1002	# Set group ID if available
1003	event_id = self.parent.popup_panel(new_panel)
1004	#self.menu3.Append(event_id, new_panel.window_caption,
1005	# "Show %s plot panel" % new_panel.window_caption)
1006	# Set id to allow us to reference the panel later
1007
1008	new_panel.uid = event_id
1009	self.mypanels.append(new_panel)
1010
1011	def _onclearslicer(self, event):
1012	"""
1013	Clear the boxslicer when close the panel associate with this slicer
1014	"""
1015	name =event.GetPane().caption
1016
1017	for panel in self.slicer_panels:
1018	if panel.window_caption==name:
1019
1020	for item in self.parent.panels:
1021	if hasattr(self.parent.panels[item],"uid"):
1022	if self.parent.panels[item].uid ==panel.base.uid:
1023	self.parent.panels[item].onClearSlicer(event)
1024	self.parent._mgr.Update()
1025	break
1026	break
1027
1028	def _return_engine_type(self):
1029	"""
1030	return the current type of engine
1031	"""
1032	return self._fit_engine
1033
1034
1035	def _on_change_engine(self, engine='park'):
1036	"""
1037	Allow to select the type of engine to perform fit
1038
1039	:param engine: the key work of the engine
1040
1041	"""
1042	## saving fit engine name
1043	self._fit_engine = engine
1044	## change menu item state
1045	if engine=="park":
1046	self.menu1.FindItemByPosition(0).Check(False)
1047	self.menu1.FindItemByPosition(1).Check(True)
1048	else:
1049	self.menu1.FindItemByPosition(0).Check(True)
1050	self.menu1.FindItemByPosition(1).Check(False)
1051	## post a message to status bar
1052	msg = "Engine set to: %s" % self._fit_engine
1053	wx.PostEvent(self.parent,
1054	StatusEvent(status=msg))
1055	## send the current engine type to fitpanel
1056	self.fit_panel._on_engine_change(name=self._fit_engine)
1057
1058	def _on_model_panel(self, evt):
1059	"""
1060	react to model selection on any combo box or model menu.plot the model
1061
1062	:param evt: wx.combobox event
1063
1064	"""
1065	model = evt.model
1066	uid = evt.uid
1067	qmin = evt.qmin
1068	qmax = evt.qmax
1069	smearer = evt.smearer
1070
1071	if model == None:
1072	return
1073
1074	if self.page_finder[uid].get_model() is None:
1075	model.name = "M" + str(self.index_model)
1076	self.index_model += 1
1077	else:
1078	model.name = self.page_finder[uid].get_model().name
1079	# save the name containing the data name with the appropriate model
1080	self.page_finder[uid].set_model(model)
1081	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1082	if self.sim_page is not None:
1083	self.sim_page.draw_page()
1084
1085	def _update1D(self,x, output):
1086	"""
1087	Update the output of plotting model 1D
1088	"""
1089	msg = "Plot updating ... "
1090	wx.PostEvent(self.parent, StatusEvent(status=msg,type="update"))
1091	self.ready_fit()
1092
1093
1094	def _fill_default_model2D(self, theory, page_id, qmax,qstep, qmin=None):
1095	"""
1096	fill Data2D with default value
1097
1098	:param theory: Data2D to fill
1099
1100	"""
1101	from DataLoader.data_info import Detector, Source
1102
1103	detector = Detector()
1104	theory.detector.append(detector)
1105	theory.source= Source()
1106
1107	## Default values
1108	theory.detector[0].distance= 8000 # mm
1109	theory.source.wavelength= 6 # A
1110	theory.detector[0].pixel_size.x= 5 # mm
1111	theory.detector[0].pixel_size.y= 5 # mm
1112
1113	theory.detector[0].beam_center.x= qmax
1114	theory.detector[0].beam_center.y= qmax
1115
1116	## create x_bins and y_bins of the model 2D
1117	pixel_width_x = theory.detector[0].pixel_size.x
1118	pixel_width_y = theory.detector[0].pixel_size.y
1119	center_x = theory.detector[0].beam_center.x/pixel_width_x
1120	center_y = theory.detector[0].beam_center.y/pixel_width_y
1121
1122	# theory default: assume the beam
1123	#center is located at the center of sqr detector
1124	xmax = qmax
1125	xmin = -qmax
1126	ymax = qmax
1127	ymin = -qmax
1128
1129	x= numpy.linspace(start= -1*qmax,
1130	stop=qmax,
1131	num=qstep,
1132	endpoint=True)
1133	y = numpy.linspace(start=-1*qmax,
1134	stop= qmax,
1135	num= qstep,
1136	endpoint=True)
1137
1138	## use data info instead
1139	new_x = numpy.tile(x, (len(y),1))
1140	new_y = numpy.tile(y, (len(x),1))
1141	new_y = new_y.swapaxes(0,1)
1142
1143	# all data reuire now in 1d array
1144	qx_data = new_x.flatten()
1145	qy_data = new_y.flatten()
1146
1147	q_data = numpy.sqrt(qx_dataqx_data+qy_dataqy_data)
1148	# set all True (standing for unmasked) as default
1149	mask = numpy.ones(len(qx_data), dtype = bool)
1150
1151	# calculate the range of qx and qy: this way,
1152	# it is a little more independent
1153	x_size = xmax- xmin
1154	y_size = ymax -ymin
1155
1156	# store x and y bin centers in q space
1157	x_bins = x
1158	y_bins = y
1159	# bin size: x- & y-directions
1160	xstep = x_size/len(x_bins-1)
1161	ystep = y_size/len(y_bins-1)
1162
1163	#theory.data = numpy.zeros(len(mask))
1164	theory.err_data = numpy.ones(len(mask))
1165	theory.qx_data = qx_data
1166	theory.qy_data = qy_data
1167	theory.q_data = q_data
1168	theory.mask = mask
1169	theory.x_bins = x_bins
1170	theory.y_bins = y_bins
1171
1172	# max and min taking account of the bin sizes
1173	theory.xmin = xmin
1174	theory.xmax = xmax
1175	theory.ymin = ymin
1176	theory.ymax = ymax
1177	theory.group_id = str(page_id) + " Model2D"
1178	theory.id = str(page_id) + " Model2D"
1179
1180	def _complete1D(self, x,y, page_id, elapsed,index,model,
1181	toggle_mode_on=False,state=None,
1182	data=None, update_chisqr=True):
1183	"""
1184	Complete plotting 1D data
1185	"""
1186	try:
1187	new_plot = Data1D(x=x, y=y)
1188	new_plot.is_data = False
1189	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1190	if data != None:
1191	_xaxis, _xunit = data.get_xaxis()
1192	_yaxis, _yunit = data.get_yaxis()
1193	new_plot.title = data.name
1194	#if the theory is already plotted use the same group id
1195	#to replot
1196	if page_id in self.page_finder:
1197	theory_data = self.page_finder[page_id].get_theory_data()
1198	if theory_data is not None:
1199	data.group_id = theory_data.group_id
1200	#data is plotted before the theory, then take its group_id
1201	#assign to the new theory
1202	new_plot.group_id = data.group_id
1203
1204	else:
1205	_xaxis, _xunit = "\\rm{Q}", 'A^{-1}'
1206	_yaxis, _yunit = "\\rm{Intensity} ", "cm^{-1}"
1207	new_plot.title = "Analytical model 1D "
1208	#find a group id to plot theory without data
1209	new_plot.group_id = str(page_id) + " Model1D"
1210	new_plot.id = str(page_id) + " Model1D"
1211
1212	#find if this theory was already plotted and replace that plot given
1213	#the same id
1214
1215	theory_data = self.page_finder[page_id].get_theory_data()
1216	if theory_data is not None:
1217	new_plot.id = theory_data.id
1218
1219	new_plot.name = model.name + " ["+ str(model.__class__.__name__)+ "]"
1220	new_plot.xaxis(_xaxis, _xunit)
1221	new_plot.yaxis(_yaxis, _yunit)
1222	if toggle_mode_on:
1223	new_plot.id = str(page_id) + " Model"
1224	wx.PostEvent(self.parent,
1225	NewPlotEvent(group_id=str(page_id) + " Model2D",
1226	action="Hide"))
1227
1228	self.page_finder[page_id].set_theory_data(new_plot)
1229	if data is None:
1230	data_id = None
1231	else:
1232	data_id = data.id
1233	self.parent.update_theory(data_id=data_id,
1234	theory=new_plot,
1235	state=state)
1236	current_pg = self.fit_panel.get_page_by_id(page_id)
1237	title = new_plot.title
1238	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1239	title= str(title)))
1240	if update_chisqr:
1241	wx.PostEvent(current_pg,
1242	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1243	page_id=page_id,
1244	index=index)))
1245	else:
1246	self._plot_residuals(page_id, data, index)
1247
1248	msg = "Plot 1D complete !"
1249	wx.PostEvent( self.parent, StatusEvent(status=msg, type="stop" ))
1250	#self.current_pg.state.theory_data = deepcopy(self.theory_data)
1251	except:
1252	raise
1253	#msg = " Error occurred when drawing %s Model 1D: " % new_plot.name
1254	#msg += " %s" % sys.exc_value
1255	#wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1256
1257	def _update2D(self, output,time=None):
1258	"""
1259	Update the output of plotting model
1260	"""
1261	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1262	#updating ... ", type="update"))
1263	self.ready_fit()
1264
1265	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1266	qmax, toggle_mode_on=False,state=None,qstep=DEFAULT_NPTS,
1267	update_chisqr=True):
1268	"""
1269	Complete get the result of modelthread and create model 2D
1270	that can be plot.
1271	"""
1272	err_image = numpy.zeros(numpy.shape(image))
1273
1274	new_plot= Data2D(image=image, err_image=err_image)
1275	new_plot.name = model.name
1276
1277	if data is None:
1278	self._fill_default_model2D(theory=new_plot,
1279	qmax=qmax,
1280	page_id=page_id,
1281	qstep=qstep,
1282	qmin= qmin)
1283
1284	else:
1285	new_plot.id = str(page_id) + " Model2D"
1286	new_plot.group_id = str(page_id) + " Model2D"
1287	new_plot.x_bins = data.x_bins
1288	new_plot.y_bins = data.y_bins
1289	new_plot.detector = data.detector
1290	new_plot.source = data.source
1291	new_plot.is_data = False
1292	new_plot.qx_data = data.qx_data
1293	new_plot.qy_data = data.qy_data
1294	new_plot.q_data = data.q_data
1295	#numpy.zeros(len(data.err_data))#data.err_data
1296	new_plot.err_data = err_image
1297	new_plot.mask = data.mask
1298	## plot boundaries
1299	new_plot.ymin = data.ymin
1300	new_plot.ymax = data.ymax
1301	new_plot.xmin = data.xmin
1302	new_plot.xmax = data.xmax
1303	new_plot.is_data = False
1304	new_plot.name = model.name + " ["+ str(model.__class__.__name__)+ "]"
1305	new_plot.title = "Analytical model 2D "
1306	theory_data = deepcopy(new_plot)
1307	theory_data.name = "Unknown"
1308	if toggle_mode_on:
1309	new_plot.id = str(page_id) + " Model"
1310	wx.PostEvent(self.parent,
1311	NewPlotEvent(group_id=str(page_id) + " Model1D",
1312	action="Hide"))
1313
1314	self.page_finder[page_id].set_theory_data(new_plot)
1315	if data is None:
1316	data_id = None
1317	else:
1318	data_id = data.id
1319	self.parent.update_theory(data_id=data_id,
1320	theory=new_plot,
1321	state=state)
1322	current_pg = self.fit_panel.get_page_by_id(page_id)
1323	title = new_plot.title
1324	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1325	title=title))
1326	# Chisqr in fitpage
1327	if update_chisqr:
1328	wx.PostEvent(current_pg,
1329	Chi2UpdateEvent(output=\
1330	self._cal_chisqr(data=data,
1331	page_id=page_id,
1332	index=index)))
1333	else:
1334	self._plot_residuals(page_id, data, index)
1335	msg = "Plot 2D complete !"
1336	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1337
1338	def _draw_model2D(self, model, page_id, data=None, smearer=None,
1339	description=None, enable2D=False,
1340	state=None,
1341	toggle_mode_on=False,
1342	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX,
1343	qstep=DEFAULT_NPTS,
1344	update_chisqr=True):
1345	"""
1346	draw model in 2D
1347
1348	:param model: instance of the model to draw
1349	:param description: the description of the model
1350	:param enable2D: when True allows to draw model 2D
1351	:param qmin: the minimum value to draw model 2D
1352	:param qmax: the maximum value to draw model 2D
1353	:param qstep: the number of division of Qx and Qy of the model to draw
1354
1355	"""
1356	x= numpy.linspace(start=-1*qmax,
1357	stop=qmax,
1358	num=qstep,
1359	endpoint=True)
1360	y = numpy.linspace(start= -1*qmax,
1361	stop=qmax,
1362	num=qstep,
1363	endpoint=True)
1364	if model is None:
1365	msg = "Panel with ID: %s does not contained model" % str(page_id)
1366	raise ValueError, msg
1367	## use data info instead
1368	if data is not None:
1369	## check if data2D to plot
1370	if hasattr(data, "x_bins"):
1371	enable2D = True
1372	x = data.x_bins
1373	y = data.y_bins
1374
1375	if not enable2D:
1376	return None, None
1377	try:
1378	from model_thread import Calc2D
1379	## If a thread is already started, stop it
1380	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1381	self.calc_2D.stop()
1382
1383	self.calc_2D = Calc2D(x=x,
1384	y=y,
1385	model=model,
1386	data=data,
1387	page_id=page_id,
1388	smearer=smearer,
1389	qmin=qmin,
1390	qmax=qmax,
1391	qstep=qstep,
1392	toggle_mode_on=toggle_mode_on,
1393	state=state,
1394	completefn=self._complete2D,
1395	#updatefn= self._update2D,
1396	update_chisqr=update_chisqr)
1397
1398	self.calc_2D.queue()
1399
1400	except:
1401	raise
1402	#msg = " Error occurred when drawing %s Model 2D: " % model.name
1403	#msg += " %s" % sys.exc_value
1404	#wx.PostEvent(self.parent, StatusEvent(status=msg))
1405
1406	def _draw_model1D(self, model, page_id, data=None, smearer=None,
1407	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX,
1408	state=None,
1409	toggle_mode_on=False,
1410	qstep=DEFAULT_NPTS, update_chisqr=True,
1411	enable1D=True):
1412	"""
1413	Draw model 1D from loaded data1D
1414
1415	:param data: loaded data
1416	:param model: the model to plot
1417
1418	"""
1419	x= numpy.linspace(start=qmin,
1420	stop=qmax,
1421	num=qstep,
1422	endpoint=True
1423	)
1424	if data is not None:
1425	## check for data2D
1426	if hasattr(data,"x_bins"):
1427	return
1428	x = data.x
1429	if qmin == None :
1430	qmin == DEFAULT_QMIN
1431
1432	if qmax == None:
1433	qmax == DEFAULT_QMAX
1434	if not enable1D:
1435	return
1436	try:
1437	from model_thread import Calc1D
1438	## If a thread is already started, stop it
1439	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1440	self.calc_1D.stop()
1441	self.calc_1D = Calc1D(x=x,
1442	data=data,
1443	model=model,
1444	page_id=page_id,
1445	qmin=qmin,
1446	qmax=qmax,
1447	smearer=smearer,
1448	state=state,
1449	toggle_mode_on=toggle_mode_on,
1450	completefn=self._complete1D,
1451	#updatefn = self._update1D,
1452	update_chisqr=update_chisqr)
1453
1454	self.calc_1D.queue()
1455
1456	except:
1457	msg = " Error occurred when drawing %s Model 1D: " % model.name
1458	msg += " %s" % sys.exc_value
1459	wx.PostEvent(self.parent, StatusEvent(status=msg))
1460
1461	def _cal_chisqr(self, page_id, data=None, index=None):
1462	"""
1463	Get handy Chisqr using the output from draw1D and 2D,
1464	instead of calling expansive CalcChisqr in guithread
1465	"""
1466	# default chisqr
1467	chisqr = None
1468
1469	# return None if data == None
1470	if data == None: return chisqr
1471
1472	# Get data: data I, theory I, and data dI in order
1473	if data.__class__.__name__ == "Data2D":
1474	if index == None:
1475	index = numpy.ones(len(data.data),ntype=bool)
1476	# get rid of zero error points
1477	index = index & (data.err_data != 0 )
1478	index = index & (numpy.isfinite(data.data))
1479	fn = data.data[index]
1480	theory_data = self.page_finder[page_id].get_theory_data()
1481	gn = theory_data.data[index]
1482	en = data.err_data[index]
1483	else:
1484	# 1 d theory from model_thread is only in the range of index
1485	if index == None:
1486	index = numpy.ones(len(data.y), ntype=bool)
1487	if data.dy == None or data.dy == []:
1488	dy = numpy.ones(len(data.y))
1489	else:
1490	## Set consitently w/AbstractFitengine:
1491	# But this should be corrected later.
1492	dy = deepcopy(data.dy)
1493	dy[dy==0] = 1
1494	fn = data.y[index]
1495	theory_data = self.page_finder[page_id].get_theory_data()
1496	gn = theory_data.y
1497	en = dy[index]
1498	# residual
1499	res = (fn - gn) / en
1500	residuals = res[numpy.isfinite(res)]
1501	# get chisqr only w/finite
1502	chisqr = numpy.average(residuals * residuals)
1503
1504	self._plot_residuals(page_id, data, index)
1505	return chisqr
1506
1507
1508
1509	def _plot_residuals(self, page_id, data=None, index=None):
1510	"""
1511	Plot the residuals
1512
1513	:param data: data
1514	:param index: index array (bool)
1515	: Note: this is different from the residuals in cal_chisqr()
1516	"""
1517	if data == None:
1518	return
1519
1520	# Get data: data I, theory I, and data dI in order
1521	if data.__class__.__name__ == "Data2D":
1522	# build residuals
1523	#print data
1524	residuals = Data2D()
1525	#residuals.copy_from_datainfo(data)
1526	# Not for trunk the line below, instead use the line above
1527	data.clone_without_data(len(data.data), residuals)
1528	residuals.data = None
1529	fn = data.data#[index]
1530	theory_data = self.page_finder[page_id].get_theory_data()
1531	gn = theory_data.data#[index]
1532	en = data.err_data#[index]
1533	residuals.data = (fn - gn) / en
1534	residuals.qx_data = data.qx_data#[index]
1535	residuals.qy_data = data.qy_data #[index]
1536	residuals.q_data = data.q_data#[index]
1537	residuals.err_data = numpy.ones(len(residuals.data))#[index]
1538	residuals.xmin = min(residuals.qx_data)
1539	residuals.xmax = max(residuals.qx_data)
1540	residuals.ymin = min(residuals.qy_data)
1541	residuals.ymax = max(residuals.qy_data)
1542	residuals.q_data = data.q_data#[index]
1543	residuals.mask = data.mask
1544	residuals.scale = 'linear'
1545	#print "print data",residuals
1546	# check the lengths
1547	if len(residuals.data) != len(residuals.q_data):
1548	return
1549
1550	else:
1551	# 1 d theory from model_thread is only in the range of index
1552	if data.dy == None or data.dy == []:
1553	dy = numpy.ones(len(data.y))
1554	else:
1555	## Set consitently w/AbstractFitengine:
1556	## But this should be corrected later.
1557	dy = deepcopy(data.dy)
1558	dy[dy==0] = 1
1559	fn = data.y[index]
1560	theory_data = self.page_finder[page_id].get_theory_data()
1561	gn = theory_data.y
1562	en = dy[index]
1563	# build residuals
1564	residuals = Data1D()
1565	residuals.y = (fn - gn) / en
1566	residuals.x = data.x[index]
1567	residuals.dy = numpy.ones(len(residuals.y))
1568	residuals.dx = None
1569	residuals.dxl = None
1570	residuals.dxw = None
1571	residuals.ytransform = 'y'
1572	# For latter scale changes
1573	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
1574	residuals.yaxis('\\rm{Residuals} ', 'normalized')
1575
1576	new_plot = residuals
1577	if data.id == None:
1578	data.id = data.name
1579	name = data.id
1580	new_plot.name = "Residuals for " + str(data.name)
1581	## allow to highlight data when plotted
1582	new_plot.interactive = True
1583	## when 2 data have the same id override the 1 st plotted
1584	new_plot.id = new_plot.name#name + " residuals"
1585	##group_id specify on which panel to plot this data
1586	new_plot.group_id = new_plot.id
1587	#new_plot.is_data = True
1588	##post data to plot
1589	title = new_plot.name
1590
1591	# plot data
1592	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))
1593
1594	#def profile(fn, args, *kw):
1595	# import cProfile, pstats, os
1596	# global call_result
1597	# def call():
1598	# global call_result
1599	# call_result = fn(args, *kw)
1600	# cProfile.runctx('call()', dict(call=call), {}, 'profile.out')
1601	# stats = pstats.Stats('profile.out')
1602	# #stats.sort_stats('time')
1603	# stats.sort_stats('calls')
1604	# stats.print_stats()
1605	# os.unlink('profile.out')
1606	# return call_result
1607	if __name__ == "__main__":
1608	i = Plugin()
1609
1610
1611
1612

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ b0e8beb

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