fitting.py @ 6d48919

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 6d48919 was 7a07864, checked in by Jae Cho <jhjcho@…>, 14 years ago
a bit generalized the plotdata
Property mode set to `100644`
File size: 55.1 KB

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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 math
20	import string
21	import time
22	import thread
23	from copy import deepcopy
24
25	import models
26	import fitpage
27
28	from DataLoader.loader import Loader
29
30	from sans.guiframe.dataFitting import Data2D
31	from sans.guiframe.dataFitting import Data1D
32	from sans.guiframe.dataFitting import Theory1D
33
34	from sans.guicomm.events import NewPlotEvent, StatusEvent
35	from sans.guicomm.events import EVT_SLICER_PANEL,ERR_DATA,EVT_REMOVE_DATA
36	from sans.guicomm.events import EVT_SLICER_PARS_UPDATE
37	from sans.guicomm.events import EVT_FITSTATE_UPDATE
38
39	from sans.fit.AbstractFitEngine import Model
40	from sans.fit.AbstractFitEngine import FitAbort
41	from console import ConsoleUpdate
42
43	from fitproblem import FitProblem
44	from fitpanel import FitPanel
45	from fit_thread import FitThread
46	from pagestate import Reader
47
48	DEFAULT_BEAM = 0.005
49	DEFAULT_QMIN = 0.001
50	DEFAULT_QMAX = 0.13
51	DEFAULT_NPTS = 50
52
53	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
54	#(FitStateUpdateEvent, EVT_STATE_UPDATE) = wx.lib.newevent.NewEvent()
55	from fitpage import Chi2UpdateEvent
56
57
58	class PlotInfo:
59	"""
60	store some plotting field
61	"""
62	_xunit = 'A^{-1}'
63	_xaxis= "\\rm{Q}"
64	_yunit = "cm^{-1}"
65	_yaxis= "\\rm{Intensity} "
66	id = "Model"
67	group_id = "Model"
68	title= None
69	info= None
70
71
72	class Plugin:
73	"""
74	Fitting plugin is used to perform fit
75	"""
76	def __init__(self):
77	"""
78	"""
79	## Plug-in name
80	self.sub_menu = "Fitting"
81
82	## Reference to the parent window
83	self.parent = None
84	#Provide list of models existing in the application
85	self.menu_mng = models.ModelManager()
86	## List of panels for the simulation perspective (names)
87	self.perspective = []
88	#list of panel to send to guiframe
89	self.mypanels = []
90	# reference to the current running thread
91	self.calc_2D = None
92	self.calc_1D = None
93	self.calc_fit = None
94
95	# Start with a good default
96	self.elapsed = 0.022
97	# the type of optimizer selected, park or scipy
98	self.fitter = None
99	#let fit ready
100	self.fitproblem_count = None
101	#Flag to let the plug-in know that it is running stand alone
102	self.standalone = True
103	## dictionary of page closed and id
104	self.closed_page_dict = {}
105	## Fit engine
106	self._fit_engine = 'scipy'
107	#List of selected data
108	self.selected_data_list = []
109	## list of slicer panel created to display slicer parameters and results
110	self.slicer_panels = []
111	# model 2D view
112	self.model2D_id = None
113	#keep reference of the simultaneous fit page
114	self.sim_page = None
115	#dictionary containing data name and error on dy of that data
116	self.err_dy = {}
117	self.theory_data = None
118	#Create a reader for fit page's state
119	self.state_reader = None
120	self.temp_state = []
121	self.state_index = 0
122	self.sfile_ext = None
123	# Log startup
124	logging.info("Fitting plug-in started")
125
126	def populate_menu(self, id, owner):
127	"""
128	Create a menu for the Fitting plug-in
129
130	:param id: id to create a menu
131	:param owner: owner of menu
132
133	:return: list of information to populate the main menu
134
135	"""
136	#Menu for fitting
137	self.menu1 = wx.Menu()
138
139	#Set park engine
140	id3 = wx.NewId()
141	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
142	self.menu1.AppendCheckItem(id3, "Simple Fit [Scipy]",scipy_help)
143	wx.EVT_MENU(owner, id3, self._onset_engine_scipy)
144
145	id3 = wx.NewId()
146	park_help = "Park Engine: Perform Complex fit. More in Help window...."
147	self.menu1.AppendCheckItem(id3, "Complex Fit [Park]",park_help)
148	wx.EVT_MENU(owner, id3, self._onset_engine_park)
149
150	self.menu1.FindItemByPosition(0).Check(True)
151	self.menu1.FindItemByPosition(1).Check(False)
152
153	self.menu1.AppendSeparator()
154	id1 = wx.NewId()
155	simul_help = "Allow to edit fit engine with multiple model and data"
156	self.menu1.Append(id1, '&Simultaneous Page',simul_help)
157	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
158
159	#menu for model
160	menu2 = wx.Menu()
161	self.menu_mng.populate_menu(menu2, owner)
162	id2 = wx.NewId()
163	owner.Bind(models.EVT_MODEL,self._on_model_menu)
164
165	self.fit_panel.set_owner(owner)
166	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
167
168	#create menubar items
169	return [(id, self.menu1, "Fitting")]
170
171	def on_add_sim_page(self, event):
172	"""
173	Create a page to access simultaneous fit option
174	"""
175	Plugin.on_perspective(self,event=event)
176	if self.sim_page !=None:
177	msg= "Simultaneous Fit page already opened"
178	wx.PostEvent(self.parent, StatusEvent(status= msg))
179	return
180
181	self.sim_page= self.fit_panel.add_sim_page()
182
183	def help(self, evt):
184	"""
185	Show a general help dialog.
186	"""
187
188	from help_panel import HelpWindow
189	frame = HelpWindow(None, -1, 'HelpWindow')
190	frame.Show(True)
191
192	def get_context_menu(self, graph=None):
193	"""
194	Get the context menu items available for P(r).them allow fitting option
195	for Data2D and Data1D only.
196
197	:param graph: the Graph object to which we attach the context menu
198
199	:return: a list of menu items with call-back function
200
201	:note: if Data1D was generated from Theory1D
202	the fitting option is not allowed
203
204	"""
205	self.graph = graph
206	fit_option = "Select data for fitting"
207	fit_hint = "Dialog with fitting parameters "
208
209	for item in graph.plottables:
210	if item.__class__.__name__ is "Data2D":
211
212	if hasattr(item,"is_data"):
213	if item.is_data:
214	return [[fit_option, fit_hint, self._onSelect]]
215	else:
216	return []
217	return [[fit_option, fit_hint, self._onSelect]]
218	else:
219	if item.name == graph.selected_plottable :
220	if item.name in ["$I_{obs}(q)$","$I_{fit}(q)$","$P_{fit}(r)$"]:
221	return []
222	if hasattr(item, "group_id"):
223	# if is_data is true , this in an actual data loaded
224	#else it is a data created from a theory model
225	if hasattr(item,"is_data"):
226	if item.is_data:
227	return [[fit_option, fit_hint,
228	self._onSelect]]
229	else:
230	return []
231	else:
232	return [[fit_option, fit_hint, self._onSelect]]
233	return []
234
235
236	def get_panels(self, parent):
237	"""
238	Create and return a list of panel objects
239	"""
240	self.parent = parent
241	self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
242	# Creation of the fit panel
243	self.fit_panel = FitPanel(self.parent, -1)
244	#Set the manager for the main panel
245	self.fit_panel.set_manager(self)
246	# List of windows used for the perspective
247	self.perspective = []
248	self.perspective.append(self.fit_panel.window_name)
249	# take care of saving data, model and page associated with each other
250	self.page_finder = {}
251	#index number to create random model name
252	self.index_model = 0
253	self.index_theory= 0
254	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
255	self.parent.Bind(ERR_DATA, self._on_data_error)
256	self.parent.Bind(EVT_REMOVE_DATA, self._closed_fitpage)
257	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
258	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
259	#Create reader when fitting panel are created
260	self.state_reader = Reader(self.set_state)
261	#append that reader to list of available reader
262	loader = Loader()
263	loader.associate_file_reader(".fitv", self.state_reader)
264	loader.associate_file_reader(".svs", self.state_reader)
265
266	#Send the fitting panel to guiframe
267	self.mypanels.append(self.fit_panel)
268	return self.mypanels
269
270	def get_perspective(self):
271	"""
272	Get the list of panel names for this perspective
273	"""
274	return self.perspective
275
276	def on_perspective(self, event):
277	"""
278	Call back function for the perspective menu item.
279	We notify the parent window that the perspective
280	has changed.
281	"""
282	self.parent.set_perspective(self.perspective)
283
284	def set_default_perspective(self):
285	"""
286	Call back method that True to notify the parent that the current plug-in
287	can be set as default perspective.
288	when returning False, the plug-in is not candidate for an automatic
289	default perspective setting
290	"""
291	return True
292
293	def post_init(self):
294	"""
295	Post initialization call back to close the loose ends
296	"""
297	pass
298
299	def set_state(self, state=None, datainfo=None, format=None):
300	"""
301	Call-back method for the fit page state reader.
302	This method is called when a .fitv/.svs file is loaded.
303
304	: param state: PageState object
305	: param datainfo: data
306	"""
307	if state != None:
308	# store fitting state in temp_state
309	self.temp_state.append(state)
310	else:
311	self.temp_state = []
312	# index to start with for a new set_state
313	self.state_index = 0
314	# state file format
315	self.sfile_ext = format
316
317	def on_set_state_helper(self,event=None):
318	"""
319	Set_state_helper. This actually sets state after plotting data from state file.
320
321	: event: FitStateUpdateEvent called by dataloader.plot_data from guiframe
322	"""
323	if len(self.temp_state) == 0:
324	if self.state_index==0 and len(self.mypanels) <= 0 and self.sfile_ext =='.svs':
325	self.fit_panel.add_default_pages()
326	self.temp_state = []
327	self.state_index = 0
328	return
329
330	try:
331	# Load fitting state
332	state = self.temp_state[self.state_index]
333	#panel state should have model selection to set_state
334	if state.formfactorcombobox != None:
335	#set state
336	page = self.fit_panel.set_state(state)
337	else:
338	#just set data because set_state won't work
339	page_info = self.fit_panel.get_page_info(data=state.data)
340	panel = self.fit_panel.add_page(page_info)
341	self.store_page(page=panel, data=state.data)
342	self.mypanels.append(panel)
343
344	# get ready for the next set_state
345	self.state_index += 1
346
347	#reset state variables to default when all set_state is finished.
348	if len(self.temp_state) == self.state_index:
349
350	self.temp_state = []
351	#self.state_index = 0
352	# Make sure the user sees the fitting panel after loading
353	self.parent.set_perspective(self.perspective)
354	except:
355	self.state_index==0
356	self.temp_state = []
357	raise
358
359	def save_fit_state(self, filepath, fitstate):
360	"""
361	save fit page state into file
362	"""
363	self.state_reader.write(filename=filepath, fitstate=fitstate)
364
365	def copy_data(self, item, dy=None):
366	"""
367	receive a data 1D and the list of errors on dy
368	and create a new data1D data
369
370	"""
371	id = None
372	if hasattr(item,"id"):
373	id = item.id
374
375	data= Data1D(x=item.x, y=item.y,dx=None, dy=None)
376	data.copy_from_datainfo(item)
377	item.clone_without_data(clone=data)
378	data.dy = deepcopy(dy)
379	data.name = item.name
380	## allow to highlight data when plotted
381	data.interactive = deepcopy(item.interactive)
382	## when 2 data have the same id override the 1 st plotted
383	data.id = id
384	data.group_id = item.group_id
385	return data
386
387	def set_fit_range(self, page, qmin, qmax):
388	"""
389	Set the fitting range of a given page
390	"""
391	if page in self.page_finder.iterkeys():
392	fitproblem= self.page_finder[page]
393	fitproblem.set_range(qmin= qmin, qmax= qmax)
394
395	def schedule_for_fit(self,value=0,page=None,fitproblem =None):
396	"""
397	Set the fit problem field to 0 or 1 to schedule that problem to fit.
398	Schedule the specified fitproblem or get the fit problem related to
399	the current page and set value.
400
401	:param value: integer 0 or 1
402	:param fitproblem: fitproblem to schedule or not to fit
403
404	"""
405	if fitproblem !=None:
406	fitproblem.schedule_tofit(value)
407	else:
408	if page in self.page_finder.iterkeys():
409	fitproblem= self.page_finder[page]
410	fitproblem.schedule_tofit(value)
411
412	def get_page_finder(self):
413	"""
414	return self.page_finder used also by simfitpage.py
415	"""
416	return self.page_finder
417
418	def set_page_finder(self,modelname,names,values):
419	"""
420	Used by simfitpage.py to reset a parameter given the string constrainst.
421
422	:param modelname: the name ot the model for with the parameter has to reset
423	:param value: can be a string in this case.
424	:param names: the paramter name
425
426	:note: expecting park used for fit.
427
428	"""
429	sim_page= self.sim_page
430	for page, value in self.page_finder.iteritems():
431	if page != sim_page:
432	list=value.get_model()
433	model = list[0]
434	if model.name== modelname:
435	value.set_model_param(names,values)
436	break
437
438	def split_string(self,item):
439	"""
440	receive a word containing dot and split it. used to split parameterset
441	name into model name and parameter name example: ::
442
443	paramaterset (item) = M1.A
444	Will return model_name = M1 , parameter name = A
445
446	"""
447	if string.find(item,".")!=-1:
448	param_names= re.split("\.",item)
449	model_name=param_names[0]
450	##Assume max len is 3; eg., M0.radius.width
451	if len(param_names) == 3:
452	param_name=param_names[1]+"."+param_names[2]
453	else:
454	param_name=param_names[1]
455	return model_name,param_name
456
457	def stop_fit(self):
458	"""
459	Stop the fit engine
460	"""
461	if self.calc_fit!= None and self.calc_fit.isrunning():
462	self.calc_fit.stop()
463	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
464	is cancelled" , type="stop"))
465
466	def set_smearer_nodraw(self,smearer, qmin=None, qmax=None):
467	"""
468	Get a smear object and store it to a fit problem
469
470	:param smearer: smear object to allow smearing data
471
472	"""
473	self.current_pg=self.fit_panel.get_current_page()
474	self.page_finder[self.current_pg].set_smearer(smearer)
475	## draw model 1D with smeared data
476	data = self.page_finder[self.current_pg].get_fit_data()
477	model = self.page_finder[self.current_pg].get_model()
478	## if user has already selected a model to plot
479	## redraw the model with data smeared
480	smear =self.page_finder[self.current_pg].get_smearer()
481
482	def set_smearer(self,smearer, qmin=None, qmax=None):
483	"""
484	Get a smear object and store it to a fit problem
485
486	:param smearer: smear object to allow smearing data
487
488	"""
489	self.current_pg=self.fit_panel.get_current_page()
490	self.page_finder[self.current_pg].set_smearer(smearer)
491	## draw model 1D with smeared data
492	data = self.page_finder[self.current_pg].get_fit_data()
493	model = self.page_finder[self.current_pg].get_model()
494	## if user has already selected a model to plot
495	## redraw the model with data smeared
496
497	smear =self.page_finder[self.current_pg].get_smearer()
498	if model!= None:
499	self.draw_model( model=model, data= data, smearer= smear,
500	qmin= qmin, qmax= qmax)
501
502	def draw_model(self, model, data= None,smearer= None,
503	enable1D= True, enable2D= False,
504	qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS):
505	"""
506	Draw model.
507
508	:param model: the model to draw
509	:param name: the name of the model to draw
510	:param data: the data on which the model is based to be drawn
511	:param description: model's description
512	:param enable1D: if true enable drawing model 1D
513	:param enable2D: if true enable drawing model 2D
514	:param qmin: Range's minimum value to draw model
515	:param qmax: Range's maximum value to draw model
516	:param qstep: number of step to divide the x and y-axis
517
518	"""
519	if data.__class__.__name__ !="Data2D":
520	## draw model 1D with no loaded data
521	self._draw_model1D( model= model, data= data,
522	enable1D=enable1D,
523	smearer= smearer,
524	qmin= qmin, qmax= qmax, qstep= qstep )
525	else:
526	## draw model 2D with no initial data
527	self._draw_model2D(model=model,
528	data = data,
529	enable2D= enable2D,
530	smearer= smearer,
531	qmin=qmin,
532	qmax=qmax,
533	qstep=qstep)
534
535	def onFit(self):
536	"""
537	perform fit
538	"""
539	## count the number of fitproblem schedule to fit
540	fitproblem_count= 0
541	for value in self.page_finder.itervalues():
542	if value.get_scheduled()==1:
543	fitproblem_count += 1
544
545	## if simultaneous fit change automatically the engine to park
546	if fitproblem_count >1:
547	self._on_change_engine(engine='park')
548
549	self.fitproblem_count = fitproblem_count
550
551	from sans.fit.Fitting import Fit
552	self.fitter= Fit(self._fit_engine)
553
554	if self._fit_engine=="park":
555	engineType="Simultaneous Fit"
556	else:
557	engineType="Single Fit"
558
559	fproblemId = 0
560	self.current_pg=None
561	for page, value in self.page_finder.iteritems():
562	try:
563	if value.get_scheduled()==1:
564	#Get list of parameters name to fit
565	pars = []
566	templist = []
567	templist = page.get_param_list()
568	for element in templist:
569	name = str(element[1])
570	pars.append(name)
571	#Set Engine (model , data) related to the page on
572	self._fit_helper( value=value,pars=pars,
573	id=fproblemId, title= engineType )
574	fproblemId += 1
575	self.current_pg= page
576	except:
577	msg= "%s error: %s" % (engineType,sys.exc_value)
578	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
579	type="stop"))
580	return
581	## If a thread is already started, stop it
582	#if self.calc_fit!= None and self.calc_fit.isrunning():
583	# self.calc_fit.stop()
584	#Handler used for park engine displayed message
585	handler = ConsoleUpdate(parent=self.parent,improvement_delta=0.1)
586	## perform single fit
587	if fitproblem_count == 1:
588	calc_fit=FitThread(parent =self.parent,
589	handler = handler,
590	fn= self.fitter,
591	cpage=self.current_pg,
592	pars= pars,
593	updatefn=handler.update_fit,
594	completefn= self._single_fit_completed)
595	else:
596	## Perform more than 1 fit at the time
597	calc_fit=FitThread(parent=self.parent,
598	handler=handler,
599	fn= self.fitter,
600	completefn= self._simul_fit_completed,
601	updatefn=handler.update_fit)
602
603	calc_fit.queue()
604	self.ready_fit(calc_fit=calc_fit)
605
606	def ready_fit(self, calc_fit):
607	"""
608	Ready for another fit
609	"""
610	if self.fitproblem_count != None and self.fitproblem_count > 1:
611	calc_fit.ready(2.5)
612
613	else:
614	time.sleep(0.4)
615
616	def remove_plot(self, page, theory=False):
617	"""
618	remove model plot when a fit page is closed
619	"""
620	fitproblem = self.page_finder[page]
621	data = fitproblem.get_fit_data()
622	model = fitproblem.get_model()
623	if model is not None:
624	name = model.name
625	new_plot = Theory1D(x=[], y=[], dy=None)
626	new_plot.name = name
627	new_plot.xaxis(data._xaxis, data._xunit)
628	new_plot.yaxis(data._yaxis, data._yunit)
629	new_plot.group_id = data.group_id
630	new_plot.id = data.id + name
631	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=data.name))
632	if theory:
633	new_plot_data = Data1D(x=[], y=[], dx=None, dy=None)
634	new_plot_data.name = data.name
635	new_plot_data.xaxis(data._xaxis, data._xunit)
636	new_plot_data.yaxis(data._yaxis, data._yunit)
637	new_plot_data.group_id = data.group_id
638	new_plot_data.id = data.id
639	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot_data,
640	title=data.name))
641	def create_fittable_data2D(self, data):
642	"""
643	check if the current data is a data 2d and add dy to that data
644
645	:return: Data2D
646
647	"""
648	if data.__class__.__name__ != "Data2D":
649	raise ValueError, " create_fittable_data2D expects a Data2D"
650	## Data2D case
651	new_data = deepcopy(data)
652	if not hasattr(data, "is_data"):
653	new_data.group_id += "data2D"
654	new_data.id +="data2D"
655	new_data.is_data = False
656	title = new_data.name
657	title += " Fit"
658	wx.PostEvent(self.parent, NewPlotEvent(plot=new_data,
659	title=str(title)))
660	else:
661	new_data.is_data = True
662	return new_data
663
664	def create_fittable_data1D(self, data):
665	"""
666	check if the current data is a theory 1d and add dy to that data
667
668	:return: Data1D
669
670	"""
671	class_name = data.__class__.__name__
672	if not class_name in ["Data1D", "Theory1D"]:
673	raise ValueError, "create_fittable_data1D expects Data1D"
674
675	#get the appropriate dy
676	dy = deepcopy(data.dy)
677	if len(self.err_dy) > 0:
678	if data.name in self.err_dy.iterkeys():
679	dy = self.err_dy[data.name]
680	if data.__class__.__name__ == "Theory1D":
681	new_data = self.copy_data(data, dy)
682	new_data.group_id = str(new_data.group_id)+"data1D"
683	new_data.id = str(new_data.id)+"data1D"
684	new_data.is_data = False
685	title = new_data.name
686	title = 'Data created from Theory'
687	wx.PostEvent(self.parent, NewPlotEvent(plot=new_data,
688	title=str(title),
689	reset=True))
690	else:
691	new_data = self.copy_data(data, dy)
692	new_data.id = data.id
693	new_data.is_data = True
694	return new_data
695
696	def store_page(self, page, data):
697	"""
698	Helper to save page reference into the plug-in
699
700	:param page: page to store
701
702	"""
703	page.set_data(data)
704	#create a fitproblem storing all link to data,model,page creation
705	if not page in self.page_finder.keys():
706	self.page_finder[page] = FitProblem()
707	self.page_finder[page].add_fit_data(data)
708
709	def add_fit_page(self, data):
710	"""
711	given a data, ask to the fitting panel to create a new fitting page,
712	get this page and store it into the page_finder of this plug-in
713	"""
714	try:
715	page = self.fit_panel.add_fit_page(data)
716
717	# add data associated to the page created
718	if page != None:
719	self.store_page(page=page, data=data)
720	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
721	info="info"))
722	else:
723	msg = "Page was already Created"
724	wx.PostEvent(self.parent, StatusEvent(status=msg, info="warning"))
725	except:
726	msg = "Creating Fit page: %s"%sys.exc_value
727	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
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
751	if hasattr(event.data,"is_data"):
752	if not event.data.is_data or 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	id,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[page]=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, fitproblem in self.page_finder.iteritems():
797	fitproblem.schedule_tofit(value)
798
799	def _fit_helper(self,pars,value, id, 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 =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	self.fitter.set_model(model, self.fit_id,
824	pars,constraints = listOfConstraint)
825
826	self.fitter.set_data(data=metadata,Uid=self.fit_id,
827	smearer=smearer,qmin= qmin,qmax=qmax )
828
829	self.fitter.select_problem_for_fit(Uid= self.fit_id,
830	value= value.get_scheduled())
831	value.clear_model_param()
832	except:
833	msg= title +" error: %s" % sys.exc_value
834	wx.PostEvent(self.parent, StatusEvent(status= msg, type="stop"))
835	return
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 = self.create_fittable_data1D(data=plottable)
848	self.add_fit_page(data=data)
849	return
850	else:
851	data = self.create_fittable_data2D(data=plottable)
852	self.add_fit_page(data=data)
853
854	def _single_fit_completed(self,result,pars,cpage, elapsed=None):
855	"""
856	Display fit result on one page of the notebook.
857
858	:param result: result of fit
859	:param pars: list of names of parameters fitted
860	:param current_pg: the page where information will be displayed
861	:param qmin: the minimum value of x to replot the model
862	:param qmax: the maximum value of x to replot model
863
864	"""
865	try:
866	if result ==None:
867	msg= "Simple Fitting Stop !!!"
868	wx.PostEvent(self.parent, StatusEvent(status=msg,info="warning",
869	type="stop"))
870	return
871	if not numpy.isfinite(result.fitness) or numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
872	msg= "Single Fitting did not converge!!!"
873	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
874	return
875	for page, value in self.page_finder.iteritems():
876	if page==cpage :
877	model= value.get_model()
878	break
879	param_name = []
880	i = 0
881	for name in pars:
882	param_name.append(name)
883
884	cpage.onsetValues(result.fitness,param_name, result.pvec,result.stderr)
885
886	except:
887	msg= "Single Fit completed but Following error occurred:%s"% sys.exc_value
888	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
889	type="stop"))
890	return
891
892	def _simul_fit_completed(self,result,pars=None,cpage=None, elapsed=None):
893	"""
894	Parameter estimation completed,
895	display the results to the user
896
897	:param alpha: estimated best alpha
898	:param elapsed: computation time
899
900	"""
901	## fit more than 1 model at the same time
902	try:
903	msg = ""
904	if result ==None:
905	msg= "Complex Fitting Stop !!!"
906	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
907	return
908	if not numpy.isfinite(result.fitness) or numpy.any(result.pvec ==None )or not numpy.all(numpy.isfinite(result.pvec) ):
909	msg= "Single Fitting did not converge!!!"
910	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
911	return
912
913	for page, value in self.page_finder.iteritems():
914	if value.get_scheduled()==1:
915	model = value.get_model()
916	data = value.get_fit_data()
917	small_param_name = []
918	small_out = []
919	small_cov = []
920	i = 0
921	#Separate result in to data corresponding to each page
922	for p in result.parameters:
923	model_name,param_name = self.split_string(p.name)
924	if model.name == model_name:
925	p_name= model.name+"."+param_name
926	if p.name == p_name:
927	if p.value != None and numpy.isfinite(p.value):
928	small_out.append(p.value )
929	small_param_name.append(param_name)
930	small_cov.append(p.stderr)
931
932	# Display result on each page
933	page.onsetValues(result.fitness, small_param_name,small_out,small_cov)
934	except:
935	msg= "Simultaneous Fit completed"
936	msg +=" but Following error occurred:%s"%sys.exc_value
937	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
938	return
939
940	def _on_show_panel(self, event):
941	"""
942	"""
943	#print "_on_show_panel: fitting"
944	pass
945
946	def _onset_engine_park(self,event):
947	"""
948	set engine to park
949	"""
950	Plugin.on_perspective(self,event=event)
951	self._on_change_engine('park')
952
953	def _onset_engine_scipy(self,event):
954	"""
955	set engine to scipy
956	"""
957	self._on_change_engine('scipy')
958
959	def _on_slicer_event(self, event):
960	"""
961	Receive a panel as event and send it to guiframe
962
963	:param event: event containing a panel
964
965	"""
966	if event.panel is not None:
967	new_panel = event.panel
968	self.slicer_panels.append(event.panel)
969	# Set group ID if available
970	event_id = self.parent.popup_panel(new_panel)
971	#self.menu3.Append(event_id, new_panel.window_caption,
972	# "Show %s plot panel" % new_panel.window_caption)
973	# Set UID to allow us to reference the panel later
974
975	new_panel.uid = event_id
976	self.mypanels.append(new_panel)
977
978	def _onclearslicer(self, event):
979	"""
980	Clear the boxslicer when close the panel associate with this slicer
981	"""
982	name =event.GetPane().caption
983
984	for panel in self.slicer_panels:
985	if panel.window_caption==name:
986
987	for item in self.parent.panels:
988	if hasattr(self.parent.panels[item],"uid"):
989	if self.parent.panels[item].uid ==panel.base.uid:
990	self.parent.panels[item].onClearSlicer(event)
991	self.parent._mgr.Update()
992	break
993	break
994
995	def _return_engine_type(self):
996	"""
997	return the current type of engine
998	"""
999	return self._fit_engine
1000
1001
1002	def _on_change_engine(self, engine='park'):
1003	"""
1004	Allow to select the type of engine to perform fit
1005
1006	:param engine: the key work of the engine
1007
1008	"""
1009	## saving fit engine name
1010	self._fit_engine = engine
1011	## change menu item state
1012	if engine=="park":
1013	self.menu1.FindItemByPosition(0).Check(False)
1014	self.menu1.FindItemByPosition(1).Check(True)
1015	else:
1016	self.menu1.FindItemByPosition(0).Check(True)
1017	self.menu1.FindItemByPosition(1).Check(False)
1018
1019	## post a message to status bar
1020	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
1021
1022	## Bind every open fit page with a newevent to know the current fitting engine
1023	import fitpage
1024	event= fitpage.FitterTypeEvent()
1025	event.type = self._fit_engine
1026	for key in self.page_finder.keys():
1027	wx.PostEvent(key, event)
1028
1029	def _on_model_panel(self, evt):
1030	"""
1031	react to model selection on any combo box or model menu.plot the model
1032
1033	:param evt: wx.combobox event
1034
1035	"""
1036	model = evt.model
1037	if model == None:
1038	return
1039	smearer = None
1040	qmin = None
1041	qmax = None
1042	if hasattr(evt, "qmin"):
1043	qmin = evt.qmin
1044	if hasattr(evt, "qmax"):
1045	qmax = evt.qmax
1046	if hasattr(evt, "smearer"):
1047	smearer = evt.smearer
1048	model.origin_name = model.name
1049	self.current_pg = self.fit_panel.get_current_page()
1050	## make sure nothing is done on self.sim_page
1051	## example trying to call set_panel on self.sim_page
1052	if self.current_pg != self.sim_page :
1053	if self.page_finder[self.current_pg].get_model()== None:
1054
1055	model.name = "M"+str(self.index_model)
1056	self.index_model += 1
1057	else:
1058	model.name= self.page_finder[self.current_pg].get_model().name
1059
1060	data = self.page_finder[self.current_pg].get_fit_data()
1061
1062	# save the name containing the data name with the appropriate model
1063	self.page_finder[self.current_pg].set_model(model)
1064	qmin, qmax= self.current_pg.get_range()
1065	self.page_finder[self.current_pg].set_range(qmin=qmin, qmax=qmax)
1066
1067	if self.sim_page!=None:
1068	self.sim_page.draw_page()
1069
1070	def _on_model_menu(self, evt):
1071	"""
1072	Plot a theory from a model selected from the menu
1073
1074	:param evt: wx.menu event
1075
1076	"""
1077	model = evt.model
1078	Plugin.on_perspective(self,event=evt)
1079	# Create a model page. If a new page is created, the model
1080	# will be plotted automatically. If a page already exists,
1081	# the content will be updated and the plot refreshed
1082	self.fit_panel.add_model_page(model,topmenu=True)
1083
1084	def _update1D(self,x, output):
1085	"""
1086	Update the output of plotting model 1D
1087	"""
1088	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1089	#updating ... ",type="update"))
1090	self.ready_fit()
1091	#self.calc_thread.ready(0.01)
1092
1093	def _fill_default_model2D(self, theory, qmax,qstep, qmin=None):
1094	"""
1095	fill Data2D with default value
1096
1097	:param theory: Data2D to fill
1098
1099	"""
1100	from DataLoader.data_info import Detector, Source
1101
1102	detector = Detector()
1103	theory.detector.append(detector)
1104	theory.source= Source()
1105
1106	## Default values
1107	theory.detector[0].distance= 8000 # mm
1108	theory.source.wavelength= 6 # A
1109	theory.detector[0].pixel_size.x= 5 # mm
1110	theory.detector[0].pixel_size.y= 5 # mm
1111
1112	theory.detector[0].beam_center.x= qmax
1113	theory.detector[0].beam_center.y= qmax
1114
1115	## create x_bins and y_bins of the model 2D
1116	pixel_width_x = theory.detector[0].pixel_size.x
1117	pixel_width_y = theory.detector[0].pixel_size.y
1118	center_x = theory.detector[0].beam_center.x/pixel_width_x
1119	center_y = theory.detector[0].beam_center.y/pixel_width_y
1120
1121	# theory default: assume the beam center is located at the center of sqr detector
1122	xmax = qmax
1123	xmin = -qmax
1124	ymax = qmax
1125	ymin = -qmax
1126
1127	x= numpy.linspace(start= -1*qmax,
1128	stop= qmax,
1129	num= qstep,
1130	endpoint=True )
1131	y = numpy.linspace(start= -1*qmax,
1132	stop= qmax,
1133	num= qstep,
1134	endpoint=True )
1135
1136	## use data info instead
1137	new_x = numpy.tile(x, (len(y),1))
1138	new_y = numpy.tile(y, (len(x),1))
1139	new_y = new_y.swapaxes(0,1)
1140
1141	# all data reuire now in 1d array
1142	qx_data = new_x.flatten()
1143	qy_data = new_y.flatten()
1144
1145	q_data = numpy.sqrt(qx_dataqx_data+qy_dataqy_data)
1146	# set all True (standing for unmasked) as default
1147	mask = numpy.ones(len(qx_data), dtype = bool)
1148
1149	# calculate the range of qx and qy: this way, it is a little more independent
1150	x_size = xmax- xmin
1151	y_size = ymax -ymin
1152
1153	# store x and y bin centers in q space
1154	x_bins = x
1155	y_bins = y
1156	# bin size: x- & y-directions
1157	xstep = x_size/len(x_bins-1)
1158	ystep = y_size/len(y_bins-1)
1159
1160	#theory.data = numpy.zeros(len(mask))
1161	theory.err_data = numpy.ones(len(mask))
1162	theory.qx_data = qx_data
1163	theory.qy_data = qy_data
1164	theory.q_data = q_data
1165	theory.mask = mask
1166	theory.x_bins = x_bins
1167	theory.y_bins = y_bins
1168
1169	# max and min taking account of the bin sizes
1170	theory.xmin= xmin
1171	theory.xmax= xmax
1172	theory.ymin= ymin
1173	theory.ymax= ymax
1174	theory.group_id = "Model"
1175	theory.id = "Model"
1176
1177	def _get_plotting_info(self, data=None):
1178	"""
1179	get plotting info from data if data !=None else use some default
1180	"""
1181	my_info = PlotInfo()
1182	if data !=None:
1183	if hasattr(data,"info"):
1184	x_name, x_units = data.get_xaxis()
1185	y_name, y_units = data.get_yaxis()
1186
1187	my_info._xunit = x_units
1188	my_info._xaxis = x_name
1189	my_info._yunit = y_units
1190	my_info._yaxis = y_name
1191
1192	my_info.title= data.name
1193	if hasattr(data, "info"):
1194	my_info.info= data.info
1195	if hasattr(data, "group_id"):
1196	my_info.group_id= data.group_id
1197	return my_info
1198
1199	def _complete1D(self, x,y, elapsed,index,model,data=None):
1200	"""
1201	Complete plotting 1D data
1202	"""
1203	try:
1204	new_plot = Theory1D(x=x, y=y)
1205	my_info = self._get_plotting_info( data)
1206	new_plot.name = model.name
1207	new_plot.id = my_info.id
1208	new_plot.group_id = my_info.group_id
1209
1210	new_plot.xaxis( my_info._xaxis, my_info._xunit)
1211	new_plot.yaxis( my_info._yaxis, my_info._yunit)
1212	if data!=None:
1213	if new_plot.id == data.id:
1214	new_plot.id += "Model"
1215	new_plot.is_data =False
1216
1217	title= new_plot.name
1218	# x, y are only in range of index
1219	self.theory_data = new_plot
1220	#new_plot.perspective = self.get_perspective()
1221	# Pass the reset flag to let the plotting event handler
1222	# know that we are replacing the whole plot
1223	if title== None:
1224	title = "Analytical model 1D "
1225	if data ==None:
1226	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1227	title=str(title), reset=True))
1228	else:
1229	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,title= str(title)))
1230	# Chisqr in fitpage
1231	current_pg=self.fit_panel.get_current_page()
1232	wx.PostEvent(current_pg,Chi2UpdateEvent(output=self._cal_chisqr(data=data,index=index)))
1233	msg = "Plot 1D complete !"
1234	wx.PostEvent( self.parent, StatusEvent(status=msg , type="stop" ))
1235	except:
1236	msg= " Error occurred when drawing %s Model 1D: "%new_plot.name
1237	msg+= " %s"%sys.exc_value
1238	wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop"))
1239
1240	def _update2D(self, output,time=None):
1241	"""
1242	Update the output of plotting model
1243	"""
1244	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1245	#updating ... ",type="update"))
1246	self.ready_fit()
1247	#self.calc_thread.ready(0.01)
1248
1249	def _complete2D(self, image, data, model, elapsed, index, qmin,
1250	qmax, qstep=DEFAULT_NPTS):
1251	"""
1252	Complete get the result of modelthread and create model 2D
1253	that can be plot.
1254	"""
1255	err_image = numpy.zeros(numpy.shape(image))
1256
1257	theory= Data2D(image= image , err_image= err_image)
1258	theory.name= model.name
1259
1260	if data ==None:
1261	self._fill_default_model2D(theory=theory, qmax=qmax, qstep=qstep,
1262	qmin= qmin)
1263
1264	else:
1265	theory.id= data.id+"Model"
1266	theory.group_id= data.name+"Model"
1267	theory.x_bins= data.x_bins
1268	theory.y_bins= data.y_bins
1269	theory.detector= data.detector
1270	theory.source= data.source
1271	theory.is_data =False
1272	theory.qx_data = data.qx_data
1273	theory.qy_data = data.qy_data
1274	theory.q_data = data.q_data
1275	theory.err_data = err_image#numpy.zeros(len(data.err_data))#data.err_data
1276	theory.mask = data.mask
1277	## plot boundaries
1278	theory.ymin= data.ymin
1279	theory.ymax= data.ymax
1280	theory.xmin= data.xmin
1281	theory.xmax= data.xmax
1282
1283	self.theory_data = theory
1284	## plot
1285	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
1286	title="Analytical model 2D ", reset=True ))
1287	# Chisqr in fitpage
1288	current_pg = self.fit_panel.get_current_page()
1289	wx.PostEvent(current_pg,
1290	Chi2UpdateEvent(output=self._cal_chisqr(data=data,index=index)))
1291	msg = "Plot 2D complete !"
1292	wx.PostEvent( self.parent, StatusEvent(status=msg, type="stop" ))
1293
1294	def _on_data_error(self, event):
1295	"""
1296	receives and event from plotting plu-gins to store the data name and
1297	their errors of y coordinates for 1Data hide and show error
1298	"""
1299	self.err_dy = event.err_dy
1300
1301	def _draw_model2D(self,model,data=None, smearer= None,description=None, enable2D=False,
1302	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
1303	"""
1304	draw model in 2D
1305
1306	:param model: instance of the model to draw
1307	:param description: the description of the model
1308	:param enable2D: when True allows to draw model 2D
1309	:param qmin: the minimum value to draw model 2D
1310	:param qmax: the maximum value to draw model 2D
1311	:param qstep: the number of division of Qx and Qy of the model to draw
1312
1313	"""
1314	x= numpy.linspace(start= -1*qmax,
1315	stop= qmax,
1316	num= qstep,
1317	endpoint=True )
1318	y = numpy.linspace(start= -1*qmax,
1319	stop= qmax,
1320	num= qstep,
1321	endpoint=True )
1322	## use data info instead
1323	if data !=None:
1324	## check if data2D to plot
1325	if hasattr(data, "x_bins"):
1326	enable2D = True
1327	x= data.x_bins
1328	y= data.y_bins
1329
1330	if not enable2D:
1331	return None,None
1332	try:
1333	from model_thread import Calc2D
1334	## If a thread is already started, stop it
1335	if self.calc_2D != None and self.calc_2D.isrunning():
1336	self.calc_2D.stop()
1337
1338	self.calc_2D = Calc2D( x= x,
1339	y= y,
1340	model= model,
1341	data = data,
1342	smearer = smearer,
1343	qmin= qmin,
1344	qmax= qmax,
1345	qstep= qstep,
1346	completefn= self._complete2D,
1347	updatefn= self._update2D )
1348	self.calc_2D.queue()
1349
1350	except:
1351	msg= " Error occurred when drawing %s Model 2D: "%model.name
1352	msg+= " %s"%sys.exc_value
1353	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1354
1355	def _draw_model1D(self, model, data=None, smearer= None,
1356	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS,enable1D= True):
1357	"""
1358	Draw model 1D from loaded data1D
1359
1360	:param data: loaded data
1361	:param model: the model to plot
1362
1363	"""
1364	x= numpy.linspace(start= qmin,
1365	stop= qmax,
1366	num= qstep,
1367	endpoint=True
1368	)
1369	if data!=None:
1370	## check for data2D
1371	if hasattr(data,"x_bins"):
1372	return
1373	x = data.x
1374	if qmin == DEFAULT_QMIN :
1375	qmin = min(data.x)
1376	if qmax == DEFAULT_QMAX:
1377	qmax = max(data.x)
1378
1379
1380	if not enable1D:
1381	return
1382
1383	try:
1384	from model_thread import Calc1D
1385	## If a thread is already started, stop it
1386	if self.calc_1D!= None and self.calc_1D.isrunning():
1387	self.calc_1D.stop()
1388	self.calc_1D= Calc1D( x= x,
1389	data = data,
1390	model= model,
1391	qmin = qmin,
1392	qmax = qmax,
1393	smearer = smearer,
1394	completefn = self._complete1D,
1395	updatefn = self._update1D )
1396	self.calc_1D.queue()
1397
1398	except:
1399	msg= " Error occurred when drawing %s Model 1D: "%model.name
1400	msg+= " %s"%sys.exc_value
1401	wx.PostEvent( self.parent, StatusEvent(status= msg ))
1402
1403	def _cal_chisqr(self, data=None, index=None):
1404	"""
1405	Get handy Chisqr using the output from draw1D and 2D,
1406	instead of calling expansive CalcChisqr in guithread
1407	"""
1408	# default chisqr
1409	chisqr = None
1410
1411	# return None if data == None
1412	if data == None: return chisqr
1413
1414	# Get data: data I, theory I, and data dI in order
1415	if data.__class__.__name__ =="Data2D":
1416	if index == None: index = numpy.ones(len(data.data),ntype=bool)
1417	index = index & (data.err_data !=0 ) # get rid of zero error points
1418	fn = data.data[index]
1419	gn = self.theory_data.data[index]
1420	en = data.err_data[index]
1421	else:
1422	# 1 d theory from model_thread is only in the range of index
1423	if index == None: index = numpy.ones(len(data.y),ntype=bool)
1424	if data.dy== None or data.dy ==[]:
1425	dy = numpy.ones(len(data.y))
1426	else:
1427	## Set consitently w/AbstractFitengine: But this should be corrected later.
1428	dy = data.dy
1429	dy[dy==0] = 1
1430	fn = data.y[index]
1431	gn = self.theory_data.y
1432	en = dy[index]
1433
1434	# residual
1435	res = (fn - gn)/en
1436	# get chisqr only w/finite
1437	chisqr = numpy.average(res[numpy.isfinite(res)]*res[numpy.isfinite(res)])
1438
1439	return chisqr
1440
1441
1442	#def profile(fn, args, *kw):
1443	# import cProfile, pstats, os
1444	# global call_result
1445	# def call():
1446	# global call_result
1447	# call_result = fn(args, *kw)
1448	# cProfile.runctx('call()', dict(call=call), {}, 'profile.out')
1449	# stats = pstats.Stats('profile.out')
1450	# #stats.sort_stats('time')
1451	# stats.sort_stats('calls')
1452	# stats.print_stats()
1453	# os.unlink('profile.out')
1454	# return call_result
1455	if __name__ == "__main__":
1456	i = Plugin()
1457
1458
1459
1460

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ 6d48919

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