fitting.py @ cfcb7197

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 cfcb7197 was cfcb7197, checked in by Gervaise Alina <gervyh@…>, 13 years ago
working on displaying data parameters in batch grid
Property mode set to `100644`
File size: 67.1 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 string
20	import time
21	from copy import deepcopy
22	import models
23	import fitpage
24
25
26	from sans.dataloader.loader import Loader
27	from sans.guiframe.dataFitting import Data2D
28	from sans.guiframe.dataFitting import Data1D
29	from sans.guiframe.dataFitting import check_data_validity
30	from sans.guiframe.events import NewPlotEvent
31	from sans.guiframe.events import StatusEvent
32	from sans.guiframe.events import EVT_SLICER_PANEL
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	from sans.fit.Fitting import Fit
37	from .console import ConsoleUpdate
38	from .fitproblem import FitProblemDictionary
39	from .fitpanel import FitPanel
40	from .fit_thread import FitThread
41	from .pagestate import Reader
42	from .fitpage import Chi2UpdateEvent
43
44	MAX_NBR_DATA = 4
45	SANS_F_TOL = 5e-05
46
47	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
48
49	if sys.platform.count("darwin")==0:
50	ON_MAC = False
51	else:
52	ON_MAC = True
53
54	class Plugin(PluginBase):
55	"""
56	Fitting plugin is used to perform fit
57	"""
58	def __init__(self, standalone=False):
59	PluginBase.__init__(self, name="Fitting", standalone=standalone)
60
61	#list of panel to send to guiframe
62	self.mypanels = []
63	# reference to the current running thread
64	self.calc_2D = None
65	self.calc_1D = None
66
67	self.color_dict = {}
68
69	self.fit_thread_list = {}
70	self.residuals = None
71	self.weight = None
72	self.fit_panel = None
73	# Start with a good default
74	self.elapsed = 0.022
75	# the type of optimizer selected, park or scipy
76	self.fitter = None
77	self.fit_panel = None
78	#let fit ready
79	self.fitproblem_count = None
80	#Flag to let the plug-in know that it is running stand alone
81	self.standalone = True
82	## dictionary of page closed and id
83	self.closed_page_dict = {}
84	## Fit engine
85	self._fit_engine = 'scipy'
86	## Relative error desired in the sum of squares (float); scipy only
87	self.ftol = SANS_F_TOL
88	#List of selected data
89	self.selected_data_list = []
90	## list of slicer panel created to display slicer parameters and results
91	self.slicer_panels = []
92	# model 2D view
93	self.model2D_id = None
94	#keep reference of the simultaneous fit page
95	self.sim_page = None
96	self.index_model = 0
97	self.test_model_color = None
98	#Create a reader for fit page's state
99	self.state_reader = None
100	self._extensions = '.fitv'
101	self.scipy_id = wx.NewId()
102	self.park_id = wx.NewId()
103
104	self.temp_state = []
105	self.state_index = 0
106	self.sfile_ext = None
107	# take care of saving data, model and page associated with each other
108	self.page_finder = {}
109	# Log startup
110	logging.info("Fitting plug-in started")
111
112	def create_fit_problem(self, page_id):
113	"""
114	Given an ID create a fitproblem container
115	"""
116	self.page_finder[page_id] = FitProblemDictionary()
117
118	def delete_fit_problem(self, page_id):
119	"""
120	Given an ID create a fitproblem container
121	"""
122	if page_id in self.page_finder.iterkeys():
123	del self.page_finder[page_id]
124
125	def add_color(self, color, id):
126	"""
127	adds a color as a key with a plot id as its value to a dictionary
128	"""
129	self.color_dict[id] = color
130
131	def on_batch_selection(self, flag):
132	"""
133	switch the the notebook of batch mode or not
134	"""
135	self.batch_on = flag
136	if self.fit_panel is not None:
137	self.fit_panel.batch_on = self.batch_on
138
139	def populate_menu(self, owner):
140	"""
141	Create a menu for the Fitting plug-in
142
143	:param id: id to create a menu
144	:param owner: owner of menu
145
146	:return: list of information to populate the main menu
147
148	"""
149	#Menu for fitting
150	self.menu1 = wx.Menu()
151	id1 = wx.NewId()
152	simul_help = "Add new fit panel"
153	self.menu1.Append(id1, '&New Fit Page',simul_help)
154	wx.EVT_MENU(owner, id1, self.on_add_new_page)
155	self.menu1.AppendSeparator()
156	id1 = wx.NewId()
157	simul_help = "Simultaneous Fit"
158	self.menu1.Append(id1, '&Simultaneous Fit',simul_help)
159	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
160	self.menu1.AppendSeparator()
161	#Set park engine
162
163	scipy_help= "Scipy Engine: Perform Simple fit. More in Help window...."
164	self.menu1.AppendCheckItem(self.scipy_id, "Simple FitEngine [LeastSq]",
165	scipy_help)
166	wx.EVT_MENU(owner, self.scipy_id, self._onset_engine_scipy)
167
168	park_help = "Park Engine: Perform Complex fit. More in Help window...."
169	self.menu1.AppendCheckItem(self.park_id, "Complex FitEngine [ParkMC]",
170	park_help)
171	wx.EVT_MENU(owner, self.park_id, self._onset_engine_park)
172
173	self.menu1.FindItemById(self.scipy_id).Check(True)
174	self.menu1.FindItemById(self.park_id).Check(False)
175	self.menu1.AppendSeparator()
176	self.id_tol = wx.NewId()
177	ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol)
178	ftol_help += "of Simple FitEngine..."
179	self.menu1.Append(self.id_tol, "Change FTolerance [LeastSq Only]",
180	ftol_help)
181	wx.EVT_MENU(owner, self.id_tol, self.show_ftol_dialog)
182
183
184	#create menubar items
185	return [(self.menu1, self.sub_menu)]
186
187	def on_add_sim_page(self, event):
188	"""
189	Create a page to access simultaneous fit option
190	"""
191	if self.sim_page != None:
192	msg= "Simultaneous Fit page already opened"
193	wx.PostEvent(self.parent, StatusEvent(status= msg))
194	return
195
196	self.sim_page= self.fit_panel.add_sim_page()
197
198	def help(self, evt):
199	"""
200	Show a general help dialog.
201	"""
202	from help_panel import HelpWindow
203	frame = HelpWindow(None, -1, 'HelpWindow')
204	frame.Show(True)
205
206	def get_context_menu(self, plotpanel=None):
207	"""
208	Get the context menu items available for P(r).them allow fitting option
209	for Data2D and Data1D only.
210
211	:param graph: the Graph object to which we attach the context menu
212
213	:return: a list of menu items with call-back function
214
215	:note: if Data1D was generated from Theory1D
216	the fitting option is not allowed
217
218	"""
219	graph = plotpanel.graph
220	fit_option = "Select data for fitting"
221	fit_hint = "Dialog with fitting parameters "
222
223	if graph.selected_plottable not in plotpanel.plots:
224	return []
225	item = plotpanel.plots[graph.selected_plottable]
226	if item.__class__.__name__ is "Data2D":
227	if hasattr(item,"is_data"):
228	if item.is_data:
229	return [[fit_option, fit_hint, self._onSelect]]
230	else:
231	return []
232	return [[fit_option, fit_hint, self._onSelect]]
233	else:
234
235	# if is_data is true , this in an actual data loaded
236	#else it is a data created from a theory model
237	if hasattr(item,"is_data"):
238	if item.is_data:
239	return [[fit_option, fit_hint,
240	self._onSelect]]
241	else:
242	return []
243	return []
244
245
246	def get_panels(self, parent):
247	"""
248	Create and return a list of panel objects
249	"""
250	self.parent = parent
251	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
252	# Creation of the fit panel
253	self.fit_panel = FitPanel(parent=self.parent, manager=self)
254	self.on_add_new_page(event=None)
255	#Set the manager for the main panel
256	self.fit_panel.set_manager(self)
257	# List of windows used for the perspective
258	self.perspective = []
259	self.perspective.append(self.fit_panel.window_name)
260
261	#index number to create random model name
262	self.index_model = 0
263	self.index_theory= 0
264	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
265	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
266	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
267	#Create reader when fitting panel are created
268	self.state_reader = Reader(self.set_state)
269	#append that reader to list of available reader
270	loader = Loader()
271	loader.associate_file_reader(".fitv", self.state_reader)
272	#loader.associate_file_reader(".svs", self.state_reader)
273	#from sans.perspectives.calculator.sld_panel import SldPanel
274	#Send the fitting panel to guiframe
275	self.mypanels.append(self.fit_panel)
276	#self.mypanels.append(SldPanel(parent=self.parent, base=self.parent))
277	return self.mypanels
278
279	def clear_panel(self):
280	"""
281	"""
282	self.fit_panel.clear_panel()
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 delete_data(self, data):
294	"""
295	delete the given data from panel
296	"""
297	self.fit_panel.delete_data(data)
298
299	def set_data(self, data_list=None):
300	"""
301	receive a list of data to fit
302	"""
303	if data_list is None:
304	data_list = []
305	selected_data_list = []
306	if self.batch_on:
307	page = self.add_fit_page(data=data_list)
308	else:
309	if len(data_list) > MAX_NBR_DATA:
310	from fitting_widgets import DataDialog
311	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
312	if dlg.ShowModal() == wx.ID_OK:
313	selected_data_list = dlg.get_data()
314	dlg.Destroy()
315
316	else:
317	selected_data_list = data_list
318	try:
319	for data in selected_data_list:
320	page = self.add_fit_page(data=[data])
321	except:
322	msg = "Fitting Set_data: " + str(sys.exc_value)
323	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
324
325	def set_top_panel(self):
326	"""
327	Close default (welcome) panel
328	"""
329	if 'default' in self.parent.panels:
330	self.parent.on_close_welcome_panel()
331
332
333	def set_theory(self, theory_list=None):
334	"""
335	"""
336	#set the model state for a given theory_state:
337	for item in theory_list:
338	try:
339	_, theory_state = item
340	self.fit_panel.set_model_state(theory_state)
341	except:
342	msg = "Fitting: cannot deal with the theory received"
343	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
344	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
345
346	def set_state(self, state=None, datainfo=None, format=None):
347	"""
348	Call-back method for the fit page state reader.
349	This method is called when a .fitv/.svs file is loaded.
350
351	: param state: PageState object
352	: param datainfo: data
353	"""
354	#state = self.state_reader.get_state()
355	if state != None:
356	state = state.clone()
357	# store fitting state in temp_state
358	self.temp_state.append(state)
359	else:
360	self.temp_state = []
361	# index to start with for a new set_state
362	self.state_index = 0
363	# state file format
364	self.sfile_ext = format
365
366	self.on_set_state_helper(event=None)
367
368	def on_set_state_helper(self,event=None):
369	"""
370	Set_state_helper. This actually sets state
371	after plotting data from state file.
372
373	: event: FitStateUpdateEvent called
374	by dataloader.plot_data from guiframe
375	"""
376	if len(self.temp_state) == 0:
377	if self.state_index==0 and len(self.mypanels) <= 0 \
378	and self.sfile_ext =='.svs':
379	self.fit_panel.add_default_pages()
380	self.temp_state = []
381	self.state_index = 0
382	return
383
384	try:
385	# Load fitting state
386	state = self.temp_state[self.state_index]
387	#panel state should have model selection to set_state
388	if state.formfactorcombobox != None:
389	#set state
390	data = self.parent.create_gui_data(state.data)
391	data.group_id = state.data.group_id
392	self.parent.add_data(data_list={data.id:data})
393	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
394	title=data.title))
395	#need to be fix later make sure we are sendind guiframe.data
396	#to panel
397	state.data = data
398	page = self.fit_panel.set_state(state)
399	else:
400	#just set data because set_state won't work
401	data = self.parent.create_gui_data(state.data)
402	data.group_id = state.data.group_id
403	self.parent.add_data(data_list={data.id:data})
404	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
405	title=data.title))
406	page = self.add_fit_page([data])
407	caption = page.window_caption
408	self.store_data(uid=page.uid, data_list=page.get_data_list(),
409	caption=caption)
410	self.mypanels.append(page)
411
412	# get ready for the next set_state
413	self.state_index += 1
414
415	#reset state variables to default when all set_state is finished.
416	if len(self.temp_state) == self.state_index:
417
418	self.temp_state = []
419	#self.state_index = 0
420	# Make sure the user sees the fitting panel after loading
421	#self.parent.set_perspective(self.perspective)
422	self.on_perspective(event=None)
423	except:
424	self.state_index==0
425	self.temp_state = []
426	raise
427
428	def save_fit_state(self, filepath, fitstate):
429	"""
430	save fit page state into file
431	"""
432	self.state_reader.write(filename=filepath, fitstate=fitstate)
433
434	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
435	"""
436	Set the fit weights of a given page for all
437	its data by default. If fid is provide then set the range
438	only for the data with fid as id
439	:param uid: id corresponding to a fit page
440	:param fid: id corresponding to a fit problem (data, model)
441	:param weight: current dy data
442	"""
443	if uid in self.page_finder.keys():
444	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
445
446	def set_fit_range(self, uid, qmin, qmax, fid=None):
447	"""
448	Set the fitting range of a given page for all
449	its data by default. If fid is provide then set the range
450	only for the data with fid as id
451	:param uid: id corresponding to a fit page
452	:param fid: id corresponding to a fit problem (data, model)
453	:param qmin: minimum value of the fit range
454	:param qmax: maximum value of the fit range
455	"""
456	if uid in self.page_finder.keys():
457	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
458
459	def schedule_for_fit(self, value=0, uid=None):
460	"""
461	Set the fit problem field to 0 or 1 to schedule that problem to fit.
462	Schedule the specified fitproblem or get the fit problem related to
463	the current page and set value.
464	:param value: integer 0 or 1
465	:param uid: the id related to a page contaning fitting information
466	"""
467	if uid in self.page_finder.keys():
468	self.page_finder[uid].schedule_tofit(value)
469
470	def get_page_finder(self):
471	"""
472	return self.page_finder used also by simfitpage.py
473	"""
474	return self.page_finder
475
476	def set_page_finder(self,modelname,names,values):
477	"""
478	Used by simfitpage.py to reset a parameter given the string constrainst.
479
480	:param modelname: the name ot the model for with the parameter
481	has to reset
482	:param value: can be a string in this case.
483	:param names: the paramter name
484
485	:note: expecting park used for fit.
486
487	"""
488	sim_page_id = self.sim_page.uid
489	for uid, value in self.page_finder.iteritems():
490	if uid != sim_page_id:
491	list = value.get_model()
492	model = list[0]
493	if model.name == modelname:
494	value.set_model_param(names, values)
495	break
496
497	def split_string(self,item):
498	"""
499	receive a word containing dot and split it. used to split parameterset
500	name into model name and parameter name example: ::
501
502	paramaterset (item) = M1.A
503	Will return model_name = M1 , parameter name = A
504
505	"""
506	if string.find(item,".")!=-1:
507	param_names= re.split("\.",item)
508	model_name=param_names[0]
509	##Assume max len is 3; eg., M0.radius.width
510	if len(param_names) == 3:
511	param_name=param_names[1]+"."+param_names[2]
512	else:
513	param_name=param_names[1]
514	return model_name,param_name
515
516	def set_ftol(self, ftol=None):
517	"""
518	Set ftol: Relative error desired in the sum of chi squares.
519	"""
520	# check if it is flaot
521	try:
522	f_tol = float(ftol)
523	except:
524	# default
525	f_tol = SANS_F_TOL
526
527	self.ftol = f_tol
528	# update ftol menu help strings
529	ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol)
530	ftol_help += "of Simple FitEngine..."
531	self.menu1.SetHelpString(self.id_tol, ftol_help)
532
533	def show_ftol_dialog(self, event=None):
534	"""
535	Dialog to select ftol for Scipy
536	"""
537	#if event != None:
538	# event.Skip()
539	from ftol_dialog import ChangeFtol
540	panel = ChangeFtol(self.parent, self)
541	panel.ShowModal()
542
543	def stop_fit(self, uid):
544	"""
545	Stop the fit engine
546	"""
547	if uid in self.fit_thread_list.keys():
548	calc_fit = self.fit_thread_list[uid]
549	if calc_fit is not None and calc_fit.isrunning():
550	calc_fit.stop()
551	msg = "Fit stop!"
552	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
553	del self.fit_thread_list[uid]
554	#set the fit button label of page when fit stop is trigger from
555	#simultaneous fit pane
556	if self.sim_page is not None and uid == self.sim_page.uid:
557	for uid, value in self.page_finder.iteritems():
558	if value.get_scheduled() == 1:
559	if uid in self.fit_panel.opened_pages.keys():
560	panel = self.fit_panel.opened_pages[uid]
561	panel. _on_fit_complete()
562
563	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
564	enable_smearer=False):
565	"""
566	Get a smear object and store it to a fit problem of fid as id. If proper
567	flag is enable , will plot the theory with smearing information.
568
569	:param smearer: smear object to allow smearing data of id fid
570	:param enable_smearer: Define whether or not all (data, model) contained
571	in the structure of id uid will be smeared before fitting.
572	:param qmin: the maximum value of the theory plotting range
573	:param qmax: the maximum value of the theory plotting range
574	:param draw: Determine if the theory needs to be plot
575	"""
576	if uid not in self.page_finder.keys():
577	return
578	self.page_finder[uid].enable_smearing(flag=enable_smearer)
579	self.page_finder[uid].set_smearer(smearer, fid=fid)
580	if draw:
581	## draw model 1D with smeared data
582	data = self.page_finder[uid].get_fit_data(fid=fid)
583	if data is None:
584	msg = "set_mearer requires at least data.\n"
585	msg += "Got data = %s .\n" % str(data)
586	raise ValueError, msg
587	model = self.page_finder[uid].get_model(fid=fid)
588	if model is None:
589	return
590	enable1D = issubclass(data.__class__, Data1D)
591	enable2D = issubclass(data.__class__, Data2D)
592	## if user has already selected a model to plot
593	## redraw the model with data smeared
594	smear = self.page_finder[uid].get_smearer(fid=fid)
595	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
596	enable1D=enable1D, enable2D=enable2D,
597	qmin=qmin, qmax=qmax, weight=None)
598	self._mac_sleep(0.2)
599
600	def _mac_sleep(self, sec=0.2):
601	"""
602	Give sleep to MAC
603	"""
604	if ON_MAC:
605	time.sleep(sec)
606
607	def draw_model(self, model, page_id, data=None, smearer=None,
608	enable1D=True, enable2D=False,
609	state=None,
610	toggle_mode_on=False,
611	qmin=None, qmax=None,
612	update_chisqr=True, weight=None):
613	"""
614	Draw model.
615
616	:param model: the model to draw
617	:param name: the name of the model to draw
618	:param data: the data on which the model is based to be drawn
619	:param description: model's description
620	:param enable1D: if true enable drawing model 1D
621	:param enable2D: if true enable drawing model 2D
622	:param qmin: Range's minimum value to draw model
623	:param qmax: Range's maximum value to draw model
624	:param qstep: number of step to divide the x and y-axis
625	:param update_chisqr: update chisqr [bool]
626
627	"""
628	self.weight = weight
629	if issubclass(data.__class__, Data1D) or not enable2D:
630	## draw model 1D with no loaded data
631	self._draw_model1D(model=model,
632	data=data,
633	page_id=page_id,
634	enable1D=enable1D,
635	smearer=smearer,
636	qmin=qmin,
637	qmax=qmax,
638	toggle_mode_on=toggle_mode_on,
639	state=state,
640	update_chisqr=update_chisqr)
641	else:
642	## draw model 2D with no initial data
643	self._draw_model2D(model=model,
644	page_id=page_id,
645	data=data,
646	enable2D=enable2D,
647	smearer=smearer,
648	qmin=qmin,
649	qmax=qmax,
650	state=state,
651	toggle_mode_on=toggle_mode_on,
652	update_chisqr=update_chisqr)
653
654	def onFit(self, uid):
655	"""
656	Get series of data, model, associates parameters and range and send then
657	to series of fit engines. Fit data and model, display result to
658	corresponding panels.
659	:param uid: id related to the panel currently calling this fit function.
660	"""
661	## count the number of fitproblem schedule to fit
662	fitproblem_count = 0
663	for value in self.page_finder.values():
664	if value.get_scheduled() == 1:
665	fitproblem_count += 1
666	## if simultaneous fit change automatically the engine to park
667	if fitproblem_count > 1:
668	self._on_change_engine(engine='park')
669	self.fitproblem_count = fitproblem_count
670	if self._fit_engine == "park":
671	engineType = "Simultaneous Fit"
672	else:
673	engineType = "Single Fit"
674	fitter_list = []
675	sim_fitter = None
676	if self.sim_page is not None and self.sim_page.uid == uid:
677	#simulatanous fit only one engine need to be created
678	sim_fitter = Fit(self._fit_engine)
679	fitter_list.append(sim_fitter)
680
681	self.current_pg = None
682	list_page_id = []
683	fit_id = 0
684	batch_inputs = {}
685	batch_outputs = {}
686	for page_id, value in self.page_finder.iteritems():
687	# For simulfit (uid give with None), do for-loop
688	# if uid is specified (singlefit), do it only on the page.
689	if engineType == "Single Fit":
690	if page_id != uid:
691	continue
692	try:
693	if value.get_scheduled() == 1:
694	#Get list of parameters name to fit
695	pars = []
696	templist = []
697	page = self.fit_panel.get_page_by_id(page_id)
698	templist = page.get_param_list()
699	for element in templist:
700	name = str(element[1])
701	pars.append(name)
702	for fitproblem in value.get_fit_problem():
703	if sim_fitter is None:
704	fitter = Fit(self._fit_engine)
705	self._fit_helper(fitproblem=fitproblem,
706	pars=pars,
707	fitter=fitter,
708	fit_id=fit_id,
709	batch_inputs=batch_inputs,
710	batch_outputs=batch_outputs)
711	fitter_list.append(fitter)
712	else:
713	fitter = sim_fitter
714	self._fit_helper(fitproblem=fitproblem,
715	pars=pars,
716	fitter=fitter,
717	fit_id=fit_id,
718	batch_inputs=batch_inputs,
719	batch_outputs=batch_outputs)
720	fit_id += 1
721	list_page_id.append(page_id)
722	current_page_id = page_id
723	value.clear_model_param()
724	except:
725	raise
726	msg= "%s error: %s" % (engineType, sys.exc_value)
727	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
728	type="stop"))
729	return
730	## If a thread is already started, stop it
731	#if self.calc_fit!= None and self.calc_fit.isrunning():
732	# self.calc_fit.stop()
733	msg = "Fitting is in progress..."
734	wx.PostEvent( self.parent, StatusEvent(status=msg, type="progress" ))
735
736	#Handler used for park engine displayed message
737	handler = ConsoleUpdate(parent=self.parent,
738	manager=self,
739	improvement_delta=0.1)
740	self._mac_sleep(0.2)
741	## perform single fit
742	if fitproblem_count == 1:
743	calc_fit = FitThread(handler = handler,
744	fn=fitter_list,
745	pars=pars,
746	batch_inputs=batch_inputs,
747	batch_outputs=batch_outputs,
748	page_id=list_page_id,
749	completefn=self._single_fit_completed,
750	ftol=self.ftol)
751	else:
752	current_page_id = self.sim_page.uid
753	## Perform more than 1 fit at the time
754	calc_fit = FitThread(handler=handler,
755	fn=fitter_list,
756	batch_inputs=batch_inputs,
757	batch_outputs=batch_outputs,
758	page_id=list_page_id,
759	updatefn=handler.update_fit,
760	completefn=self._simul_fit_completed,
761	ftol=self.ftol)
762	self.fit_thread_list[current_page_id] = calc_fit
763	calc_fit.queue()
764	msg = "Fitting is in progress..."
765	wx.PostEvent( self.parent, StatusEvent(status=msg, type="progress" ))
766
767	self.ready_fit(calc_fit=calc_fit)
768
769	def ready_fit(self, calc_fit):
770	"""
771	Ready for another fit
772	"""
773	if self.fitproblem_count != None and self.fitproblem_count > 1:
774	calc_fit.ready(2.5)
775	else:
776	time.sleep(0.4)
777
778	def remove_plot(self, uid, fid=None, theory=False):
779	"""
780	remove model plot when a fit page is closed
781	:param uid: the id related to the fitpage to close
782	:param fid: the id of the fitproblem(data, model, range,etc)
783	"""
784	if uid not in self.page_finder.keys():
785	return
786	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
787	for fitproblem in fitproblemList:
788	data = fitproblem.get_fit_data()
789	model = fitproblem.get_model()
790	plot_id = None
791	if model is not None:
792	plot_id = data.id + name
793	if theory:
794	plot_id = data.id
795	group_id = data.group_id
796	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
797	group_id=group_id,
798	action='remove'))
799
800	def store_data(self, uid, data_list=None, caption=None):
801	"""
802	Recieve a list of data and store them ans well as a caption of
803	the fit page where they come from.
804	:param uid: if related to a fit page
805	:param data_list: list of data to fit
806	:param caption: caption of the window related to these data
807	"""
808	if data_list is None:
809	data_list = []
810
811	self.page_finder[uid].set_fit_data(data=data_list)
812	if caption is not None:
813	self.page_finder[uid].set_fit_tab_caption(caption=caption)
814
815	def on_add_new_page(self, event=None):
816	"""
817	ask fit panel to create a new empty page
818	"""
819	try:
820	page = self.fit_panel.add_empty_page()
821	page_caption = page.window_caption
822	# add data associated to the page created
823	if page != None:
824	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
825	info="info"))
826	else:
827	msg = "Page was already Created"
828	wx.PostEvent(self.parent, StatusEvent(status=msg,
829	info="warning"))
830	self.set_top_panel()
831	except:
832	msg = "Creating Fit page: %s"%sys.exc_value
833	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
834
835	def add_fit_page(self, data):
836	"""
837	given a data, ask to the fitting panel to create a new fitting page,
838	get this page and store it into the page_finder of this plug-in
839	:param data: is a list of data
840	"""
841	page = self.fit_panel.set_data(data)
842	# page could be None when loading state files
843	if page == None:
844	return page
845	page_caption = page.window_caption
846	#append Data1D to the panel containing its theory
847	#if theory already plotted
848	if page.uid in self.page_finder:
849	data = page.get_data()
850	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
851	if issubclass(data.__class__, Data2D):
852	data.group_id = wx.NewId()
853	if theory_data is not None:
854	group_id = str(page.uid) + " Model1D"
855	wx.PostEvent(self.parent,
856	NewPlotEvent(group_id=group_id,
857	action="delete"))
858	self.parent.update_data(prev_data=theory_data,
859	new_data=data)
860	else:
861	if theory_data is not None:
862	group_id = str(page.uid) + " Model2D"
863	data.group_id = theory_data.group_id
864	wx.PostEvent(self.parent,
865	NewPlotEvent(group_id=group_id,
866	action="delete"))
867	self.parent.update_data(prev_data=theory_data,
868	new_data=data)
869	self.store_data(uid=page.uid, data_list=page.get_data_list(),
870	caption=page.window_caption)
871	if self.sim_page is not None and not self.batch_on:
872	self.sim_page.draw_page()
873	return page
874
875	def _onEVT_SLICER_PANEL(self, event):
876	"""
877	receive and event telling to update a panel with a name starting with
878	event.panel_name. this method update slicer panel
879	for a given interactor.
880
881	:param event: contains type of slicer , paramaters for updating
882	the panel and panel_name to find the slicer 's panel concerned.
883	"""
884	for item in self.parent.panels:
885	name = event.panel_name
886	if self.parent.panels[item].window_caption.startswith(name):
887	self.parent.panels[item].set_slicer(event.type, event.params)
888
889	self.parent._mgr.Update()
890
891	def _closed_fitpage(self, event):
892	"""
893	request fitpanel to close a given page when its unique data is removed
894	from the plot. close fitpage only when the a loaded data is removed
895	"""
896	if event is None or event.data is None:
897	return
898	if hasattr(event.data,"is_data"):
899	if not event.data.is_data or \
900	event.data.__class__.__name__ == "Data1D":
901	self.fit_panel.close_page_with_data(event.data)
902
903	def _reset_schedule_problem(self, value=0, uid=None):
904	"""
905	unschedule or schedule all fitproblem to be fit
906	"""
907	# case that uid is not specified
908	if uid == None:
909	for page_id in self.page_finder.keys():
910	self.page_finder[page_id].schedule_tofit(value)
911	# when uid is given
912	else:
913	if uid in self.page_finder.keys():
914	self.page_finder[uid].schedule_tofit(value)
915
916	def _fit_helper(self, fitproblem, pars, fitter, fit_id,
917	batch_inputs, batch_outputs):
918	"""
919	Create and set fit engine with series of data and model
920	:param pars: list of fittable parameters
921	:param fitter_list: list of fit engine
922	:param value: structure storing data mapped to their model, range etc..
923	"""
924	data = fitproblem.get_fit_data()
925	model = fitproblem.get_model()
926	smearer = fitproblem.get_smearer()
927	qmin, qmax = fitproblem.get_range()
928	#Extra list of parameters and their constraints
929	listOfConstraint = []
930	param = fitproblem.get_model_param()
931	if len(param) > 0:
932	for item in param:
933	## check if constraint
934	if item[0] != None and item[1] != None:
935	listOfConstraint.append((item[0],item[1]))
936	for param in model.getParamList():
937	if param not in pars:
938	if param not in batch_inputs.keys():
939	batch_inputs[param] = []
940	if param not in model.non_fittable:
941	batch_inputs[param].append(model.getParam(param))
942	fitter.set_model(model, fit_id, pars, constraints=listOfConstraint)
943	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
944	qmax=qmax)
945	fitter.select_problem_for_fit(id=fit_id, value=1)
946	#fill batch result information
947	if "Data" not in batch_outputs.keys():
948	batch_outputs["Data"] = []
949	batch_outputs["Data"].append(data.name)
950	for key, value in data.meta_data.iteritems():
951	if key not in batch_inputs.keys():
952	batch_inputs[key] = []
953	batch_inputs[key].append(value)
954	param = "temperature"
955	if hasattr(data.sample, param):
956	if param not in batch_inputs.keys():
957	batch_inputs[param] = []
958	batch_inputs[param].append(data.sample.temperature)
959
960	def _onSelect(self,event):
961	"""
962	when Select data to fit a new page is created .Its reference is
963	added to self.page_finder
964	"""
965	self.panel = event.GetEventObject()
966	Plugin.on_perspective(self, event=event)
967	for plottable in self.panel.graph.plottables:
968	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
969	data_id = self.panel.graph.selected_plottable
970	if plottable == self.panel.plots[data_id]:
971	data = plottable
972	self.add_fit_page(data=[data])
973	return
974	else:
975	data = plottable
976	self.add_fit_page(data=[data])
977	self.set_top_panel()
978
979	def update_fit(self, result=None, msg=""):
980	"""
981	"""
982	print "update_fit result", result
983
984	def _batch_single_fit_complete_helper(self, result, pars, page_id,
985	batch_outputs, batch_inputs, elapsed=None):
986	"""
987	Display fit result in batch
988	:param result: list of objects received fromt fit engines
989	:param pars: list of fitted parameters names
990	:param page_id: list of page ids which called fit function
991	:param elapsed: time spent at the fitting level
992	"""
993	self._update_fit_button(page_id)
994	msg = "Single Fitting complete "
995	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
996	type="stop"))
997	if batch_outputs is None:
998	batch_outputs = {}
999	if self.batch_on:
1000	# format batch_outputs
1001	batch_outputs["Chi2"] = []
1002	for index in range(len(pars)):
1003	batch_outputs[pars[index]] = []
1004	batch_outputs["error on %s" % pars[index]] = []
1005	for res in result:
1006	if res is None:
1007	null_value = numpy.nan
1008	batch_outputs["Chi2"].append(null_value)
1009	for index in range(len(pars)):
1010	batch_outputs[pars[index]].append(null_value)
1011	item = null_value
1012	batch_outputs["error on %s" % pars[index]].append(item)
1013	else:
1014	batch_outputs["Chi2"].append(res.fitness)
1015	for index in range(len(pars)):
1016	batch_outputs[pars[index]].append(res.pvec[index])
1017	item = res.stderr[index]
1018	batch_outputs["error on %s" % pars[index]].append(item)
1019	pid = page_id[0]
1020	self.page_finder[pid].set_result(result=batch_outputs)
1021	self.parent.on_set_batch_result(data_outputs=batch_outputs,
1022	data_inputs=batch_inputs,
1023	plugin_name=self.sub_menu)
1024	for uid in page_id:
1025	cpage = self.fit_panel.get_page_by_id(uid)
1026	cpage._on_fit_complete()
1027
1028	def _single_fit_completed(self, result, pars, page_id, batch_outputs,
1029	batch_inputs=None, elapsed=None):
1030	"""
1031	Display fit result on one page of the notebook.
1032	:param result: list of object generated when fit ends
1033	:param pars: list of names of parameters fitted
1034	:param page_id: list of page ids which called fit function
1035	:param elapsed: time spent at the fitting level
1036	"""
1037	self._mac_sleep(0.2)
1038	if page_id[0] in self.fit_thread_list.keys():
1039	del self.fit_thread_list[page_id[0]]
1040	if self.batch_on:
1041	wx.CallAfter(self._batch_single_fit_complete_helper,
1042	result, pars, page_id, batch_outputs,
1043	batch_inputs, elapsed)
1044	return
1045	else:
1046	try:
1047	result = result[0]
1048	if result == None:
1049	self._update_fit_button(page_id)
1050	msg= "Single Fitting did not converge!!!"
1051	wx.PostEvent(self.parent,
1052	StatusEvent(status=msg,
1053	info="warning",
1054	type="stop"))
1055	return
1056	if not numpy.isfinite(result.fitness) or \
1057	numpy.any(result.pvec == None) or \
1058	not numpy.all(numpy.isfinite(result.pvec)):
1059	msg = "Single Fitting did not converge!!!"
1060	wx.PostEvent(self.parent,
1061	StatusEvent(status=msg,
1062	info="warning",
1063	type="stop"))
1064	self._update_fit_button(page_id)
1065	return
1066
1067	for uid in page_id:
1068	cpage = self.fit_panel.get_page_by_id(uid)
1069	# Make sure we got all results
1070	#(CallAfter is important to MAC)
1071	wx.CallAfter(cpage.onsetValues, result.fitness, pars,
1072	result.pvec, result.stderr)
1073	cpage._on_fit_complete()
1074	if result.stderr == None:
1075	msg = "Fit Abort: "
1076	else:
1077	msg = "Fitting: "
1078	msg += "Completed!!!"
1079	wx.PostEvent(self.parent, StatusEvent(status=msg))
1080	except ValueError:
1081	self._update_fit_button(page_id)
1082	msg = "Single Fitting did not converge!!!"
1083	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
1084	type="stop"))
1085	except:
1086	self._update_fit_button(page_id)
1087	msg = "Single Fit completed but Following"
1088	msg += " error occurred:%s" % sys.exc_value
1089	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
1090	type="stop"))
1091	raise
1092
1093	def _simul_fit_completed(self, result, page_id, batch_outputs,
1094	batch_inputs=None,
1095	pars=None,
1096	elapsed=None):
1097	"""
1098	Display result of the fit on related panel(s).
1099	:param result: list of object generated when fit ends
1100	:param pars: list of names of parameters fitted
1101	:param page_id: list of page ids which called fit function
1102	:param elapsed: time spent at the fitting level
1103	"""
1104	result = result[0]
1105	self.fit_thread_list = {}
1106	if page_id is None:
1107	page_id = []
1108	## fit more than 1 model at the same time
1109	self._mac_sleep(0.2)
1110	try:
1111	msg = ""
1112	if result == None:
1113	self._update_fit_button(page_id)
1114	msg= "Complex Fitting did not converge!!!"
1115	wx.PostEvent(self.parent, StatusEvent(status=msg,
1116	type="stop"))
1117	return
1118	if not numpy.isfinite(result.fitness) or \
1119	numpy.any(result.pvec == None) or not \
1120	numpy.all(numpy.isfinite(result.pvec)):
1121	self._update_fit_button(page_id)
1122	msg= "Simultaneous Fitting did not converge!!!"
1123	wx.PostEvent(self.parent, StatusEvent(status=msg,type="stop"))
1124	return
1125
1126	for uid in page_id:
1127	fpdict = self.page_finder[uid]
1128	for value in fpdict.itervalues():
1129	model = value.get_model()
1130	data = value.get_fit_data()
1131	small_param_name = []
1132	small_out = []
1133	small_cov = []
1134	#Separate result in to data corresponding to each page
1135	for p in result.parameters:
1136	model_name, param_name = self.split_string(p.name)
1137	if model.name == model_name:
1138	p_name= model.name+"."+param_name
1139	if p.name == p_name:
1140	if p.value != None and numpy.isfinite(p.value):
1141	small_out.append(p.value)
1142	small_param_name.append(param_name)
1143	small_cov.append(p.stderr)
1144	# Display result on each page
1145	cpage = self.fit_panel.get_page_by_id(uid)
1146	wx.CallAfter(cpage.onsetValues,
1147	result.fitness,
1148	small_param_name,
1149	small_out,small_cov)
1150	cpage._on_fit_complete()
1151	msg = "Fit completed!"
1152	wx.PostEvent(self.parent, StatusEvent(status=msg))
1153	except Exception:
1154	raise
1155	self._update_fit_button(page_id)
1156	msg = "Complex Fitting did not converge!!!"
1157	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
1158	type="stop"))
1159	return
1160	except:
1161	self._update_fit_button(page_id)
1162	msg = "Simultaneous Fit completed"
1163	msg += " but Following error occurred:%s" % sys.exc_value
1164	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1165
1166	def _update_fit_button(self, page_id):
1167	"""
1168	Update Fit button when fit stopped
1169
1170	: parameter page_id: fitpage where the button is
1171	"""
1172	if page_id.__class__.__name__ != 'list':
1173	page_id = [page_id]
1174	for uid in page_id:
1175	page = self.fit_panel.get_page_by_id(uid)
1176	page._on_fit_complete()
1177
1178	def _on_show_panel(self, event):
1179	"""
1180	"""
1181	pass
1182
1183	def _onset_engine_park(self,event):
1184	"""
1185	set engine to park
1186	"""
1187	self._on_change_engine('park')
1188
1189	def _onset_engine_scipy(self,event):
1190	"""
1191	set engine to scipy
1192	"""
1193	self._on_change_engine('scipy')
1194
1195	def _on_slicer_event(self, event):
1196	"""
1197	Receive a panel as event and send it to guiframe
1198
1199	:param event: event containing a panel
1200
1201	"""
1202	if event.panel is not None:
1203	new_panel = event.panel
1204	self.slicer_panels.append(event.panel)
1205	# Set group ID if available
1206	event_id = self.parent.popup_panel(new_panel)
1207	new_panel.uid = event_id
1208	self.mypanels.append(new_panel)
1209
1210	def _onclearslicer(self, event):
1211	"""
1212	Clear the boxslicer when close the panel associate with this slicer
1213	"""
1214	name =event.GetPane().caption
1215
1216	for panel in self.slicer_panels:
1217	if panel.window_caption==name:
1218
1219	for item in self.parent.panels:
1220	if hasattr(self.parent.panels[item], "uid"):
1221	if self.parent.panels[item].uid ==panel.base.uid:
1222	self.parent.panels[item].onClearSlicer(event)
1223	self.parent._mgr.Update()
1224	break
1225	break
1226
1227	def _return_engine_type(self):
1228	"""
1229	return the current type of engine
1230	"""
1231	return self._fit_engine
1232
1233
1234	def _on_change_engine(self, engine='park'):
1235	"""
1236	Allow to select the type of engine to perform fit
1237
1238	:param engine: the key work of the engine
1239
1240	"""
1241	## saving fit engine name
1242	self._fit_engine = engine
1243	## change menu item state
1244	if engine == "park":
1245	self.menu1.FindItemById(self.park_id).Check(True)
1246	self.menu1.FindItemById(self.scipy_id).Check(False)
1247	else:
1248	self.menu1.FindItemById(self.park_id).Check(False)
1249	self.menu1.FindItemById(self.scipy_id).Check(True)
1250	## post a message to status bar
1251	msg = "Engine set to: %s" % self._fit_engine
1252	wx.PostEvent(self.parent,
1253	StatusEvent(status=msg))
1254	## send the current engine type to fitpanel
1255	self.fit_panel._on_engine_change(name=self._fit_engine)
1256
1257
1258	def _on_model_panel(self, evt):
1259	"""
1260	react to model selection on any combo box or model menu.plot the model
1261
1262	:param evt: wx.combobox event
1263
1264	"""
1265	model = evt.model
1266	uid = evt.uid
1267	qmin = evt.qmin
1268	qmax = evt.qmax
1269	smearer = evt.smearer
1270	caption = evt.caption
1271	enable_smearer = evt.enable_smearer
1272	if model == None:
1273	return
1274	if uid not in self.page_finder.keys():
1275	return
1276	# save the name containing the data name with the appropriate model
1277	self.page_finder[uid].set_model(model)
1278	self.page_finder[uid].enable_smearing(enable_smearer)
1279	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1280	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1281	if self.sim_page is not None and not self.batch_on:
1282	self.sim_page.draw_page()
1283
1284	def _update1D(self, x, output):
1285	"""
1286	Update the output of plotting model 1D
1287	"""
1288	msg = "Plot updating ... "
1289	wx.PostEvent(self.parent, StatusEvent(status=msg,type="update"))
1290
1291	def _complete1D(self, x, y, page_id, elapsed, index, model,
1292	toggle_mode_on=False, state=None,
1293	data=None, update_chisqr=True):
1294	"""
1295	Complete plotting 1D data
1296	"""
1297	try:
1298	new_plot = Data1D(x=x, y=y)
1299	new_plot.is_data = False
1300	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1301	_yaxis, _yunit = data.get_yaxis()
1302	_xaxis, _xunit = data.get_xaxis()
1303	new_plot.title = data.name
1304	new_plot.group_id = data.group_id
1305	new_plot.id = str(page_id) + "model"
1306	if new_plot.id in self.color_dict:
1307	new_plot.custom_color = self.color_dict[new_plot.id]
1308	#find if this theory was already plotted and replace that plot given
1309	#the same id
1310	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
1311	new_plot.name = model.name + " ["+ str(model.__class__.__name__)+"]"
1312	new_plot.xaxis(_xaxis, _xunit)
1313	new_plot.yaxis(_yaxis, _yunit)
1314	self.page_finder[page_id].set_theory_data(data=new_plot,
1315	fid=data.id)
1316	self.parent.update_theory(data_id=data.id, theory=new_plot,
1317	state=state)
1318	current_pg = self.fit_panel.get_page_by_id(page_id)
1319	title = new_plot.title
1320	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1321	title=str(title)))
1322	caption = current_pg.window_caption
1323	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
1324	self.page_finder[page_id].set_theory_data(data=new_plot,
1325	fid=data.id)
1326	if toggle_mode_on:
1327	wx.PostEvent(self.parent,
1328	NewPlotEvent(group_id=str(page_id) + " Model2D",
1329	action="Hide"))
1330	else:
1331	if update_chisqr:
1332	wx.PostEvent(current_pg,
1333	Chi2UpdateEvent(output=self._cal_chisqr(
1334	data=data,
1335	page_id=page_id,
1336	index=index)))
1337	else:
1338	self._plot_residuals(page_id, data, index)
1339
1340	msg = "Computation completed!"
1341	wx.PostEvent( self.parent, StatusEvent(status=msg, type="stop" ))
1342	except:
1343	raise
1344	#msg = " Error occurred when drawing %s Model 1D: " % new_plot.name
1345	#msg += " %s" % sys.exc_value
1346	#wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1347
1348	def _update2D(self, output,time=None):
1349	"""
1350	Update the output of plotting model
1351	"""
1352	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1353	#updating ... ", type="update"))
1354	#self.ready_fit()
1355
1356	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1357	qmax, toggle_mode_on=False, state=None,
1358	update_chisqr=True):
1359	"""
1360	Complete get the result of modelthread and create model 2D
1361	that can be plot.
1362	"""
1363	new_plot= Data2D(image=image, err_image=data.err_data)
1364	new_plot.name = model.name
1365	new_plot.title = "Analytical model 2D "
1366	new_plot.id = str(page_id) + "model"
1367	new_plot.group_id = str(page_id) + " Model2D"
1368	new_plot.detector = data.detector
1369	new_plot.source = data.source
1370	new_plot.is_data = False
1371	new_plot.qx_data = data.qx_data
1372	new_plot.qy_data = data.qy_data
1373	new_plot.q_data = data.q_data
1374	new_plot.mask = data.mask
1375	## plot boundaries
1376	new_plot.ymin = data.ymin
1377	new_plot.ymax = data.ymax
1378	new_plot.xmin = data.xmin
1379	new_plot.xmax = data.xmax
1380	title = data.title
1381	if len(title) > 1:
1382	new_plot.title = "Model2D for " + data.name
1383	new_plot.is_data = False
1384	new_plot.name = model.name + " [" + \
1385	str(model.__class__.__name__) + "-2D]"
1386	theory_data = deepcopy(new_plot)
1387	theory_data.name = "Unknown"
1388
1389	self.page_finder[page_id].set_theory_data(data=theory_data, fid=data.id)
1390	self.parent.update_theory(data_id=data.id,
1391	theory=new_plot,
1392	state=state)
1393	current_pg = self.fit_panel.get_page_by_id(page_id)
1394	title = new_plot.title
1395	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1396	title=title))
1397	self.page_finder[page_id].set_theory_data(data=new_plot, fid=data.id)
1398	if toggle_mode_on:
1399	wx.PostEvent(self.parent,
1400	NewPlotEvent(group_id=str(page_id) + " Model1D",
1401	action="Hide"))
1402	else:
1403	# Chisqr in fitpage
1404	if update_chisqr:
1405	wx.PostEvent(current_pg,
1406	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1407	page_id=page_id,
1408	index=index)))
1409	else:
1410	self._plot_residuals(page_id, data, index)
1411	msg = "Computation completed!"
1412	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1413
1414	def _draw_model2D(self, model, page_id, qmin,
1415	qmax,
1416	data=None, smearer=None,
1417	description=None, enable2D=False,
1418	state=None,
1419	toggle_mode_on=False,
1420	update_chisqr=True):
1421	"""
1422	draw model in 2D
1423
1424	:param model: instance of the model to draw
1425	:param description: the description of the model
1426	:param enable2D: when True allows to draw model 2D
1427	:param qmin: the minimum value to draw model 2D
1428	:param qmax: the maximum value to draw model 2D
1429	:param qstep: the number of division of Qx and Qy of the model to draw
1430
1431	"""
1432	if not enable2D:
1433	return None
1434	try:
1435	from model_thread import Calc2D
1436	## If a thread is already started, stop it
1437	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1438	self.calc_2D.stop()
1439	self.calc_2D = Calc2D(model=model,
1440	data=data,
1441	page_id=page_id,
1442	smearer=smearer,
1443	qmin=qmin,
1444	qmax=qmax,
1445	toggle_mode_on=toggle_mode_on,
1446	state=state,
1447	completefn=self._complete2D,
1448	update_chisqr=update_chisqr)
1449	self.calc_2D.queue()
1450
1451	except:
1452	raise
1453	#msg = " Error occurred when drawing %s Model 2D: " % model.name
1454	#msg += " %s" % sys.exc_value
1455	#wx.PostEvent(self.parent, StatusEvent(status=msg))
1456
1457	def _draw_model1D(self, model, page_id, data,
1458	qmin, qmax, smearer=None,
1459	state=None,
1460	toggle_mode_on=False, update_chisqr=True,
1461	enable1D=True):
1462	"""
1463	Draw model 1D from loaded data1D
1464
1465	:param data: loaded data
1466	:param model: the model to plot
1467
1468	"""
1469	if not enable1D:
1470	return
1471	try:
1472	from model_thread import Calc1D
1473	## If a thread is already started, stop it
1474	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1475	self.calc_1D.stop()
1476	self.calc_1D = Calc1D(data=data,
1477	model=model,
1478	page_id=page_id,
1479	qmin=qmin,
1480	qmax=qmax,
1481	smearer=smearer,
1482	state=state,
1483	toggle_mode_on=toggle_mode_on,
1484	completefn=self._complete1D,
1485	#updatefn = self._update1D,
1486	update_chisqr=update_chisqr)
1487	self.calc_1D.queue()
1488	except:
1489	msg = " Error occurred when drawing %s Model 1D: " % model.name
1490	msg += " %s" % sys.exc_value
1491	wx.PostEvent(self.parent, StatusEvent(status=msg))
1492
1493
1494
1495	def _cal_chisqr(self, page_id, data, index=None):
1496	"""
1497	Get handy Chisqr using the output from draw1D and 2D,
1498	instead of calling expansive CalcChisqr in guithread
1499	"""
1500	data = deepcopy(data)
1501
1502	# default chisqr
1503	chisqr = None
1504	#to compute chisq make sure data has valid data
1505	# return None if data == None
1506	if not check_data_validity(data):
1507	return chisqr
1508
1509	# Get data: data I, theory I, and data dI in order
1510	if data.__class__.__name__ == "Data2D":
1511	if index == None:
1512	index = numpy.ones(len(data.data),ntype=bool)
1513	if self.weight != None:
1514	data.err_data = self.weight
1515	# get rid of zero error points
1516	index = index & (data.err_data != 0)
1517	index = index & (numpy.isfinite(data.data))
1518	fn = data.data[index]
1519	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
1520	gn = theory_data.data[index]
1521	en = data.err_data[index]
1522	else:
1523	# 1 d theory from model_thread is only in the range of index
1524	if index == None:
1525	index = numpy.ones(len(data.y), ntype=bool)
1526	if self.weight != None:
1527	data.dy = self.weight
1528	if data.dy == None or data.dy == []:
1529	dy = numpy.ones(len(data.y))
1530	else:
1531	## Set consitently w/AbstractFitengine:
1532	# But this should be corrected later.
1533	dy = deepcopy(data.dy)
1534	dy[dy==0] = 1
1535	fn = data.y[index]
1536	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
1537	gn = theory_data.y
1538	en = dy[index]
1539	# residual
1540	res = (fn - gn) / en
1541	residuals = res[numpy.isfinite(res)]
1542	# get chisqr only w/finite
1543	chisqr = numpy.average(residuals * residuals)
1544	self._plot_residuals(page_id, data, index)
1545	#reset weight
1546	self.weight = None
1547	return chisqr
1548
1549	def _plot_residuals(self, page_id, data=None, index=None):
1550	"""
1551	Plot the residuals
1552
1553	:param data: data
1554	:param index: index array (bool)
1555	: Note: this is different from the residuals in cal_chisqr()
1556	"""
1557	# Get data: data I, theory I, and data dI in order
1558	if data.__class__.__name__ == "Data2D":
1559	# build residuals
1560	residuals = Data2D()
1561	#residuals.copy_from_datainfo(data)
1562	# Not for trunk the line below, instead use the line above
1563	data.clone_without_data(len(data.data), residuals)
1564	residuals.data = None
1565	fn = data.data#[index]
1566	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
1567	gn = theory_data.data#[index]
1568	en = data.err_data#[index]
1569	residuals.data = (fn - gn) / en
1570	residuals.qx_data = data.qx_data#[index]
1571	residuals.qy_data = data.qy_data #[index]
1572	residuals.q_data = data.q_data#[index]
1573	residuals.err_data = numpy.ones(len(residuals.data))#[index]
1574	residuals.xmin = min(residuals.qx_data)
1575	residuals.xmax = max(residuals.qx_data)
1576	residuals.ymin = min(residuals.qy_data)
1577	residuals.ymax = max(residuals.qy_data)
1578	residuals.q_data = data.q_data#[index]
1579	residuals.mask = data.mask
1580	residuals.scale = 'linear'
1581	# check the lengths
1582	if len(residuals.data) != len(residuals.q_data):
1583	return
1584	else:
1585	# 1 d theory from model_thread is only in the range of index
1586	if data.dy == None or data.dy == []:
1587	dy = numpy.ones(len(data.y))
1588	else:
1589	## Set consitently w/AbstractFitengine:
1590	## But this should be corrected later.
1591	dy = deepcopy(data.dy)
1592	dy[dy==0] = 1
1593	fn = data.y[index]
1594	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
1595	gn = theory_data.y
1596	en = dy[index]
1597	# build residuals
1598	residuals = Data1D()
1599	residuals.y = (fn - gn) / en
1600	residuals.x = data.x[index]
1601	residuals.dy = numpy.ones(len(residuals.y))
1602	residuals.dx = None
1603	residuals.dxl = None
1604	residuals.dxw = None
1605	residuals.ytransform = 'y'
1606	# For latter scale changes
1607	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
1608	residuals.yaxis('\\rm{Residuals} ', 'normalized')
1609	new_plot = residuals
1610	new_plot.name = "Residuals for " + str(data.name)
1611	## allow to highlight data when plotted
1612	new_plot.interactive = True
1613	## when 2 data have the same id override the 1 st plotted
1614	new_plot.id = new_plot.name#name + " residuals"
1615	##group_id specify on which panel to plot this data
1616	new_plot.group_id = new_plot.id
1617	#new_plot.is_data = True
1618	##post data to plot
1619	title = new_plot.name
1620
1621	# plot data
1622	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))
1623
1624	#def profile(fn, args, *kw):
1625	# import cProfile, pstats, os
1626	# global call_result
1627	# def call():
1628	# global call_result
1629	# call_result = fn(args, *kw)
1630	# cProfile.runctx('call()', dict(call=call), {}, 'profile.out')
1631	# stats = pstats.Stats('profile.out')
1632	# #stats.sort_stats('time')
1633	# stats.sort_stats('calls')
1634	# stats.print_stats()
1635	# os.unlink('profile.out')
1636	# return call_result
1637	if __name__ == "__main__":
1638	i = Plugin()
1639
1640
1641
1642

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SasView

source: sasview/fittingview/src/sans/perspectives/fitting/fitting.py @ cfcb7197

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