fitting.py @ cdc2ee2

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 cdc2ee2 was 796c4d4, checked in by Jae Cho <jhjcho@…>, 12 years ago
new: overwright default changes; sum:added name control
Property mode set to `100644`
File size: 89.0 KB

Line
1
2
3	################################################################################
4	#This software was developed by the University of Tennessee as part of the
5	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
6	#project funded by the US National Science Foundation.
7	#
8	#See the license text in license.txt
9	#
10	#copyright 2009, University of Tennessee
11	################################################################################
12
13
14	import re
15	import sys
16	import os
17	import wx
18	import logging
19	import numpy
20	import string
21	import time
22	from copy import deepcopy
23	import models
24	import fitpage
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.guiframe.data_processor import BatchCell
37	from sans.fit.Fitting import Fit
38	from .console import ConsoleUpdate
39	from .fitproblem import FitProblemDictionary
40	from .fitpanel import FitPanel
41	from .fit_thread import FitThread
42	from .pagestate import Reader
43	from .fitpage import Chi2UpdateEvent
44	from sans.perspectives.calculator.model_editor import TextDialog
45	from sans.perspectives.calculator.model_editor import EditorWindow
46
47	MAX_NBR_DATA = 4
48	SANS_F_TOL = 5e-05
49
50	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
51
52
53	if sys.platform.count("darwin")==0:
54	ON_MAC = False
55	else:
56	ON_MAC = True
57
58	class Plugin(PluginBase):
59	"""
60	Fitting plugin is used to perform fit
61	"""
62	def __init__(self, standalone=False):
63	PluginBase.__init__(self, name="Fitting", standalone=standalone)
64
65	#list of panel to send to guiframe
66	self.mypanels = []
67	# reference to the current running thread
68	self.calc_2D = None
69	self.calc_1D = None
70
71	self.color_dict = {}
72
73	self.fit_thread_list = {}
74	self.residuals = None
75	self.weight = None
76	self.fit_panel = None
77	# Start with a good default
78	self.elapsed = 0.022
79	# the type of optimizer selected, park or scipy
80	self.fitter = None
81	self.fit_panel = None
82	#let fit ready
83	self.fitproblem_count = None
84	#Flag to let the plug-in know that it is running stand alone
85	self.standalone = True
86	## dictionary of page closed and id
87	self.closed_page_dict = {}
88	## Fit engine
89	self._fit_engine = 'scipy'
90	self._gui_engine = None
91	## Relative error desired in the sum of squares (float); scipy only
92	self.ftol = SANS_F_TOL
93	self.batch_reset_flag = True
94	#List of selected data
95	self.selected_data_list = []
96	## list of slicer panel created to display slicer parameters and results
97	self.slicer_panels = []
98	# model 2D view
99	self.model2D_id = None
100	#keep reference of the simultaneous fit page
101	self.sim_page = None
102	self.sim_menu = None
103	self.batch_page = None
104	self.batch_menu = None
105	self.index_model = 0
106	self.test_model_color = None
107	#Create a reader for fit page's state
108	self.state_reader = None
109	self._extensions = '.fitv'
110	self.scipy_id = wx.NewId()
111	self.park_id = wx.NewId()
112	self.menu1 = None
113	self.new_model_frame = None
114
115	self.temp_state = []
116	self.state_index = 0
117	self.sfile_ext = None
118	# take care of saving data, model and page associated with each other
119	self.page_finder = {}
120	# Log startup
121	logging.info("Fitting plug-in started")
122	self.batch_capable = self.get_batch_capable()
123
124	def get_batch_capable(self):
125	"""
126	Check if the plugin has a batch capability
127	"""
128	return True
129
130	def create_fit_problem(self, page_id):
131	"""
132	Given an ID create a fitproblem container
133	"""
134	self.page_finder[page_id] = FitProblemDictionary()
135
136	def delete_fit_problem(self, page_id):
137	"""
138	Given an ID create a fitproblem container
139	"""
140	if page_id in self.page_finder.iterkeys():
141	del self.page_finder[page_id]
142
143	def add_color(self, color, id):
144	"""
145	adds a color as a key with a plot id as its value to a dictionary
146	"""
147	self.color_dict[id] = color
148
149	def on_batch_selection(self, flag):
150	"""
151	switch the the notebook of batch mode or not
152	"""
153	self.batch_on = flag
154	if self.fit_panel is not None:
155	self.fit_panel.batch_on = self.batch_on
156
157	def populate_menu(self, owner):
158	"""
159	Create a menu for the Fitting plug-in
160
161	:param id: id to create a menu
162	:param owner: owner of menu
163
164	:return: list of information to populate the main menu
165
166	"""
167	#Menu for fitting
168	self.menu1 = wx.Menu()
169	id1 = wx.NewId()
170	simul_help = "Add new fit panel"
171	self.menu1.Append(id1, '&New Fit Page',simul_help)
172	wx.EVT_MENU(owner, id1, self.on_add_new_page)
173	self.menu1.AppendSeparator()
174	self.id_simfit = wx.NewId()
175	simul_help = "Simultaneous Fit"
176	self.menu1.Append(self.id_simfit, '&Simultaneous Fit',simul_help)
177	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
178	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
179	self.sim_menu.Enable(False)
180	#combined Batch
181	self.id_batchfit = wx.NewId()
182	batch_help = "Combined Batch"
183	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
184	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
185	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
186	self.batch_menu.Enable(False)
187	self.menu1.AppendSeparator()
188	#Set park engine
189	scipy_help = "Scipy Engine: Perform Simple fit. More in Help window...."
190	self.menu1.AppendCheckItem(self.scipy_id, "Simple FitEngine [LeastSq]",
191	scipy_help)
192	wx.EVT_MENU(owner, self.scipy_id, self._onset_engine_scipy)
193
194	park_help = "Park Engine: Perform Complex fit. More in Help window...."
195	self.menu1.AppendCheckItem(self.park_id, "Complex FitEngine [ParkMC]",
196	park_help)
197	wx.EVT_MENU(owner, self.park_id, self._onset_engine_park)
198
199	self.menu1.FindItemById(self.scipy_id).Check(True)
200	self.menu1.FindItemById(self.park_id).Check(False)
201	self.menu1.AppendSeparator()
202	self.id_tol = wx.NewId()
203	ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol)
204	ftol_help += "of Simple FitEngine..."
205	self.menu1.Append(self.id_tol, "Change FTolerance",
206	ftol_help)
207	wx.EVT_MENU(owner, self.id_tol, self.show_ftol_dialog)
208	self.menu1.AppendSeparator()
209
210	self.id_reset_flag = wx.NewId()
211	resetf_help = "BatchFit: If checked, the initial param values will be "
212	resetf_help += "propagated from the previous results. "
213	resetf_help += "Otherwise, the same initial param values will be used "
214	resetf_help += "for all fittings."
215	self.menu1.AppendCheckItem(self.id_reset_flag,
216	"Chain Fitting [BatchFit Only]",
217	resetf_help)
218	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
219	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
220	chain_menu.Check(not self.batch_reset_flag)
221	chain_menu.Enable(self.batch_on)
222
223	self.menu1.AppendSeparator()
224	self.edit_model_menu = wx.Menu()
225	# Find and put files name in menu
226	try:
227	self.set_edit_menu(owner=owner)
228	except:
229	raise
230
231	self.id_edit = wx.NewId()
232	editmodel_help = "Edit customized model sample file"
233	self.menu1.AppendMenu(self.id_edit, "Edit Custom Model",
234	self.edit_model_menu, editmodel_help)
235	#create menubar items
236	return [(self.menu1, self.sub_menu)]
237
238	def edit_custom_model(self, event):
239	"""
240	Get the python editor panel
241	"""
242	id = event.GetId()
243	label = self.edit_menu.GetLabel(id)
244	from sans.perspectives.calculator.pyconsole import PyConsole
245	filename = os.path.join(models.find_plugins_dir(), label)
246	frame = PyConsole(parent=self.parent, manager=self, panel= self.fit_panel,
247	title='Advanced Custom Model Editor', filename=filename)
248	self.put_icon(frame)
249	frame.Show(True)
250
251	def delete_custom_model(self, event):
252	"""
253	Delete custom model file
254	"""
255	id = event.GetId()
256	label = self.delete_menu.GetLabel(id)
257	toks = os.path.splitext(label)
258	path = os.path.join(models.find_plugins_dir(), toks[0])
259	try:
260	for ext in ['.py', '.pyc']:
261	p_path = path + ext
262	os.remove(p_path)
263	self.update_custom_combo()
264	self.delete_menu.Delete(id)
265	for item in self.edit_menu.GetMenuItems():
266	if item.GetLabel() == label:
267	self.edit_menu.DeleteItem(item)
268	break
269	except:
270	msg ='Delete Error: \nCould not delete the file; Check if in use.'
271	wx.MessageBox(msg)
272
273	def make_sum_model(self, event):
274	"""
275	Edit summodel template and make one
276	"""
277	id = event.GetId()
278	model_list = []
279	model_manager = models.ModelManager()
280	model_list = model_manager.get_model_name_list()
281	plug_dir = models.find_plugins_dir()
282	textdial = TextDialog(None, self, -1, 'Easy Sum(p1, p2)',
283	model_list, plug_dir)
284	self.put_icon(textdial)
285	dial = textdial.ShowModal()
286
287	textdial.Destroy()
288
289	def make_new_model(self, event):
290	"""
291	Make new model
292	"""
293	if self.new_model_frame != None and self.new_model_frame.IsShown():
294	self.new_model_frame.Show(False)
295	else:
296	id = event.GetId()
297	dir_path = models.find_plugins_dir()
298	title = "New Custom Model Function"
299	self.new_model_frame = EditorWindow(parent=self, base=self,
300	path=dir_path, title=title)
301	self.put_icon(self.new_model_frame)
302	self.new_model_frame.Show(True)
303
304	def update_custom_combo(self):
305	"""
306	Update custom model list in the fitpage combo box
307	"""
308	try:
309	# Update edit menus
310	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
311	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
312	temp = self.fit_panel.reset_pmodel_list()
313	if temp:
314	# Set the new custom model list for all fit pages
315	for uid, page in self.fit_panel.opened_pages.iteritems():
316	if hasattr(page, "formfactorbox"):
317	page.model_list_box = temp
318	current_val = page.formfactorbox.GetValue()
319	pos = page.formfactorbox.GetSelection()
320	page._show_combox_helper()
321	new_val = page.formfactorbox.GetValue()
322	if current_val != new_val and new_val != '':
323	page.formfactorbox.SetValue(new_val)
324	else:
325	page.formfactorbox.SetValue(current_val)
326	except:
327	pass
328
329
330	def set_edit_menu(self, owner):
331	"""
332	Set list of the edit model menu labels
333	"""
334	id = wx.NewId()
335	#new_model_menu = wx.Menu()
336	self.edit_model_menu.Append(id, 'New',
337	'Add a new model function')#,
338	#new_model_menu)
339	wx.EVT_MENU(owner, id, self.make_new_model)
340	id = wx.NewId()
341	self.edit_model_menu.Append(id, 'Sum(p1, p2)',
342	'Sum of two model functions')
343	wx.EVT_MENU(owner, id, self.make_sum_model)
344	e_id = wx.NewId()
345	self.edit_menu =wx.Menu()
346	self.edit_model_menu.AppendMenu(e_id,
347	'Advanced', self.edit_menu)
348	self.set_edit_menu_helper(owner, self.edit_custom_model)
349
350	d_id = wx.NewId()
351	self.delete_menu =wx.Menu()
352	self.edit_model_menu.AppendMenu(d_id,
353	'Delete', self.delete_menu)
354	self.set_edit_menu_helper(owner, self.delete_custom_model)
355
356	def set_edit_menu_helper(self, owner=None, menu=None):
357	"""
358	help for setting list of the edit model menu labels
359	"""
360	if menu == None:
361	menu = self.edit_custom_model
362	list_fnames = os.listdir(models.find_plugins_dir())
363	list_fnames.sort()
364	for f_item in list_fnames:
365	name = os.path.basename(f_item)
366	toks = os.path.splitext(name)
367	if toks[-1]=='.py' and not toks[0] =='__init__':
368	if menu == self.edit_custom_model:
369	if toks[0] =='easy_sum_of_p1_p2':
370	continue
371	submenu = self.edit_menu
372	else:
373	submenu = self.delete_menu
374	#name = toks[0]
375	has_file = False
376	for item in submenu.GetMenuItems():
377	if name == submenu.GetLabel(item.GetId()):
378	has_file = True
379	if not has_file:
380	id = wx.NewId()
381	submenu.Append(id, name)
382	wx.EVT_MENU(owner, id, menu)
383	has_file = False
384
385	def put_icon(self, frame):
386	"""
387	Put icon in the frame title bar
388	"""
389	if hasattr(frame, "IsIconized"):
390	if not frame.IsIconized():
391	try:
392	icon = self.parent.GetIcon()
393	frame.SetIcon(icon)
394	except:
395	pass
396
397	def on_add_sim_page(self, event):
398	"""
399	Create a page to access simultaneous fit option
400	"""
401	id = event.GetId()
402	caption = "Simultaneous Fit"
403	page = self.sim_page
404	if id == self.id_batchfit:
405	caption = "Combined Batch"
406	page = self.batch_page
407
408	def set_focus_page(page):
409	page.Show(True)
410	page.Refresh()
411	page.SetFocus()
412	self.parent._mgr.Update()
413	msg = "%s already opened\n" % str(page.window_caption)
414	wx.PostEvent(self.parent, StatusEvent(status=msg))
415
416	if page != None:
417	return set_focus_page(page)
418	if caption == "Simultaneous Fit":
419	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
420	else:
421	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
422
423	def help(self, evt):
424	"""
425	Show a general help dialog.
426	"""
427	from help_panel import HelpWindow
428	frame = HelpWindow(None, -1, 'HelpWindow')
429	if hasattr(frame, "IsIconized"):
430	if not frame.IsIconized():
431	try:
432	icon = self.parent.GetIcon()
433	frame.SetIcon(icon)
434	except:
435	pass
436	frame.Show(True)
437
438	def get_context_menu(self, plotpanel=None):
439	"""
440	Get the context menu items available for P(r).them allow fitting option
441	for Data2D and Data1D only.
442
443	:param graph: the Graph object to which we attach the context menu
444
445	:return: a list of menu items with call-back function
446
447	:note: if Data1D was generated from Theory1D
448	the fitting option is not allowed
449
450	"""
451	graph = plotpanel.graph
452	fit_option = "Select data for fitting"
453	fit_hint = "Dialog with fitting parameters "
454
455	if graph.selected_plottable not in plotpanel.plots:
456	return []
457	item = plotpanel.plots[graph.selected_plottable]
458	if item.__class__.__name__ is "Data2D":
459	if hasattr(item,"is_data"):
460	if item.is_data:
461	return [[fit_option, fit_hint, self._onSelect]]
462	else:
463	return []
464	return [[fit_option, fit_hint, self._onSelect]]
465	else:
466
467	# if is_data is true , this in an actual data loaded
468	#else it is a data created from a theory model
469	if hasattr(item,"is_data"):
470	if item.is_data:
471	return [[fit_option, fit_hint,
472	self._onSelect]]
473	else:
474	return []
475	return []
476
477
478	def get_panels(self, parent):
479	"""
480	Create and return a list of panel objects
481	"""
482	self.parent = parent
483	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
484	# Creation of the fit panel
485	self.fit_panel = FitPanel(parent=self.parent, manager=self)
486	self.on_add_new_page(event=None)
487	#Set the manager for the main panel
488	self.fit_panel.set_manager(self)
489	# List of windows used for the perspective
490	self.perspective = []
491	self.perspective.append(self.fit_panel.window_name)
492
493	#index number to create random model name
494	self.index_model = 0
495	self.index_theory= 0
496	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
497	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
498	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
499	#Create reader when fitting panel are created
500	self.state_reader = Reader(self.set_state)
501	#append that reader to list of available reader
502	loader = Loader()
503	loader.associate_file_reader(".fitv", self.state_reader)
504	#loader.associate_file_reader(".svs", self.state_reader)
505	#from sans.perspectives.calculator.sld_panel import SldPanel
506	#Send the fitting panel to guiframe
507	self.mypanels.append(self.fit_panel)
508	#self.mypanels.append(SldPanel(parent=self.parent, base=self.parent))
509	return self.mypanels
510
511	def clear_panel(self):
512	"""
513	"""
514	self.fit_panel.clear_panel()
515
516	def set_default_perspective(self):
517	"""
518	Call back method that True to notify the parent that the current plug-in
519	can be set as default perspective.
520	when returning False, the plug-in is not candidate for an automatic
521	default perspective setting
522	"""
523	return True
524
525	def delete_data(self, data):
526	"""
527	delete the given data from panel
528	"""
529	self.fit_panel.delete_data(data)
530
531	def set_data(self, data_list=None):
532	"""
533	receive a list of data to fit
534	"""
535	if data_list is None:
536	data_list = []
537	selected_data_list = []
538	if self.batch_on:
539	page = self.add_fit_page(data=data_list)
540	else:
541	if len(data_list) > MAX_NBR_DATA:
542	from fitting_widgets import DataDialog
543	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
544	if dlg.ShowModal() == wx.ID_OK:
545	selected_data_list = dlg.get_data()
546	dlg.Destroy()
547
548	else:
549	selected_data_list = data_list
550	try:
551	group_id = wx.NewId()
552	for data in selected_data_list:
553	if data is not None:
554	# 2D has no same group_id
555	if data.__class__.__name__ == 'Data2D':
556	group_id = wx.NewId()
557	data.group_id = group_id
558	if group_id not in data.list_group_id:
559	data.list_group_id.append(group_id)
560	page = self.add_fit_page(data=[data])
561	except:
562	msg = "Fitting Set_data: " + str(sys.exc_value)
563	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
564
565	def set_top_panel(self):
566	"""
567	Close default (welcome) panel
568	"""
569	if 'default' in self.parent.panels:
570	self.parent.on_close_welcome_panel()
571
572
573	def set_theory(self, theory_list=None):
574	"""
575	"""
576	#set the model state for a given theory_state:
577	for item in theory_list:
578	try:
579	_, theory_state = item
580	self.fit_panel.set_model_state(theory_state)
581	except:
582	msg = "Fitting: cannot deal with the theory received"
583	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
584	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
585
586	def set_state(self, state=None, datainfo=None, format=None):
587	"""
588	Call-back method for the fit page state reader.
589	This method is called when a .fitv/.svs file is loaded.
590
591	: param state: PageState object
592	: param datainfo: data
593	"""
594	#state = self.state_reader.get_state()
595	if state != None:
596	state = state.clone()
597	# store fitting state in temp_state
598	self.temp_state.append(state)
599	else:
600	self.temp_state = []
601	# index to start with for a new set_state
602	self.state_index = 0
603	# state file format
604	self.sfile_ext = format
605
606	self.on_set_state_helper(event=None)
607
608	def on_set_state_helper(self,event=None):
609	"""
610	Set_state_helper. This actually sets state
611	after plotting data from state file.
612
613	: event: FitStateUpdateEvent called
614	by dataloader.plot_data from guiframe
615	"""
616	if len(self.temp_state) == 0:
617	if self.state_index==0 and len(self.mypanels) <= 0 \
618	and self.sfile_ext =='.svs':
619	self.fit_panel.add_default_pages()
620	self.temp_state = []
621	self.state_index = 0
622	return
623
624	try:
625	# Load fitting state
626	state = self.temp_state[self.state_index]
627	#panel state should have model selection to set_state
628	if state.formfactorcombobox != None:
629	#set state
630	data = self.parent.create_gui_data(state.data)
631	data.group_id = state.data.group_id
632	self.parent.add_data(data_list={data.id:data})
633	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
634	title=data.title))
635	#need to be fix later make sure we are sendind guiframe.data
636	#to panel
637	state.data = data
638	page = self.fit_panel.set_state(state)
639	else:
640	#just set data because set_state won't work
641	data = self.parent.create_gui_data(state.data)
642	data.group_id = state.data.group_id
643	self.parent.add_data(data_list={data.id:data})
644	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
645	title=data.title))
646	page = self.add_fit_page([data])
647	caption = page.window_caption
648	self.store_data(uid=page.uid, data_list=page.get_data_list(),
649	caption=caption)
650	self.mypanels.append(page)
651
652	# get ready for the next set_state
653	self.state_index += 1
654
655	#reset state variables to default when all set_state is finished.
656	if len(self.temp_state) == self.state_index:
657
658	self.temp_state = []
659	#self.state_index = 0
660	# Make sure the user sees the fitting panel after loading
661	#self.parent.set_perspective(self.perspective)
662	self.on_perspective(event=None)
663	except:
664	self.state_index==0
665	self.temp_state = []
666	raise
667
668	def set_param2fit(self, uid, param2fit):
669	"""
670	Set the list of param names to fit for fitprobelm
671	"""
672	self.page_finder[uid].set_param2fit(param2fit)
673
674	def set_graph_id(self, uid, graph_id):
675	"""
676	Set graph_id for fitprobelm
677	"""
678	self.page_finder[uid].set_graph_id(graph_id)
679
680	def get_graph_id(self, uid):
681	"""
682	Set graph_id for fitprobelm
683	"""
684	return self.page_finder[uid].get_graph_id()
685
686	def save_fit_state(self, filepath, fitstate):
687	"""
688	save fit page state into file
689	"""
690	self.state_reader.write(filename=filepath, fitstate=fitstate)
691
692	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
693	"""
694	Set the fit weights of a given page for all
695	its data by default. If fid is provide then set the range
696	only for the data with fid as id
697	:param uid: id corresponding to a fit page
698	:param fid: id corresponding to a fit problem (data, model)
699	:param weight: current dy data
700	"""
701	if uid in self.page_finder.keys():
702	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
703
704	def set_fit_range(self, uid, qmin, qmax, fid=None):
705	"""
706	Set the fitting range of a given page for all
707	its data by default. If fid is provide then set the range
708	only for the data with fid as id
709	:param uid: id corresponding to a fit page
710	:param fid: id corresponding to a fit problem (data, model)
711	:param qmin: minimum value of the fit range
712	:param qmax: maximum value of the fit range
713	"""
714	if uid in self.page_finder.keys():
715	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
716
717	def schedule_for_fit(self, value=0, uid=None):
718	"""
719	Set the fit problem field to 0 or 1 to schedule that problem to fit.
720	Schedule the specified fitproblem or get the fit problem related to
721	the current page and set value.
722	:param value: integer 0 or 1
723	:param uid: the id related to a page contaning fitting information
724	"""
725	if uid in self.page_finder.keys():
726	self.page_finder[uid].schedule_tofit(value)
727
728	def get_page_finder(self):
729	"""
730	return self.page_finder used also by simfitpage.py
731	"""
732	return self.page_finder
733
734	def set_page_finder(self,modelname,names,values):
735	"""
736	Used by simfitpage.py to reset a parameter given the string constrainst.
737
738	:param modelname: the name ot the model for with the parameter
739	has to reset
740	:param value: can be a string in this case.
741	:param names: the paramter name
742
743	:note: expecting park used for fit.
744
745	"""
746	sim_page_id = self.sim_page.uid
747	for uid, value in self.page_finder.iteritems():
748	if uid != sim_page_id and uid != self.batch_page.uid:
749	list = value.get_model()
750	model = list[0]
751	if model.name == modelname:
752	value.set_model_param(names, values)
753	break
754
755	def split_string(self,item):
756	"""
757	receive a word containing dot and split it. used to split parameterset
758	name into model name and parameter name example: ::
759
760	paramaterset (item) = M1.A
761	Will return model_name = M1 , parameter name = A
762
763	"""
764	if string.find(item, ".") != -1:
765	param_names = re.split("\.", item)
766	model_name = param_names[0]
767	##Assume max len is 3; eg., M0.radius.width
768	if len(param_names) == 3:
769	param_name = param_names[1] + "." + param_names[2]
770	else:
771	param_name = param_names[1]
772	return model_name, param_name
773
774	def set_ftol(self, ftol=None):
775	"""
776	Set ftol: Relative error desired in the sum of chi squares.
777	"""
778	# check if it is flaot
779	try:
780	f_tol = float(ftol)
781	except:
782	# default
783	f_tol = SANS_F_TOL
784
785	self.ftol = f_tol
786	# update ftol menu help strings
787	ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol)
788	ftol_help += "of Simple FitEngine..."
789	if self.menu1 != None:
790	self.menu1.SetHelpString(self.id_tol, ftol_help)
791
792	def show_ftol_dialog(self, event=None):
793	"""
794	Dialog to select ftol for Scipy
795	"""
796	#if event != None:
797	# event.Skip()
798	from ftol_dialog import ChangeFtol
799	panel = ChangeFtol(self.parent, self)
800	panel.ShowModal()
801
802	def stop_fit(self, uid):
803	"""
804	Stop the fit engine
805	"""
806	if uid in self.fit_thread_list.keys():
807	calc_fit = self.fit_thread_list[uid]
808	if calc_fit is not None and calc_fit.isrunning():
809	calc_fit.stop()
810	msg = "Fit stop!"
811	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
812	del self.fit_thread_list[uid]
813	#set the fit button label of page when fit stop is trigger from
814	#simultaneous fit pane
815	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
816	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
817	if sim_flag or batch_flag:
818	for uid, value in self.page_finder.iteritems():
819	if value.get_scheduled() == 1:
820	if uid in self.fit_panel.opened_pages.keys():
821	panel = self.fit_panel.opened_pages[uid]
822	panel._on_fit_complete()
823
824	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
825	enable_smearer=False):
826	"""
827	Get a smear object and store it to a fit problem of fid as id. If proper
828	flag is enable , will plot the theory with smearing information.
829
830	:param smearer: smear object to allow smearing data of id fid
831	:param enable_smearer: Define whether or not all (data, model) contained
832	in the structure of id uid will be smeared before fitting.
833	:param qmin: the maximum value of the theory plotting range
834	:param qmax: the maximum value of the theory plotting range
835	:param draw: Determine if the theory needs to be plot
836	"""
837	if uid not in self.page_finder.keys():
838	return
839	self.page_finder[uid].enable_smearing(flag=enable_smearer)
840	self.page_finder[uid].set_smearer(smearer, fid=fid)
841	if draw:
842	## draw model 1D with smeared data
843	data = self.page_finder[uid].get_fit_data(fid=fid)
844	if data is None:
845	msg = "set_mearer requires at least data.\n"
846	msg += "Got data = %s .\n" % str(data)
847	return
848	#raise ValueError, msg
849	model = self.page_finder[uid].get_model(fid=fid)
850	if model is None:
851	return
852	enable1D = issubclass(data.__class__, Data1D)
853	enable2D = issubclass(data.__class__, Data2D)
854	## if user has already selected a model to plot
855	## redraw the model with data smeared
856	smear = self.page_finder[uid].get_smearer(fid=fid)
857
858	# compute weight for the current data
859	weight = self.page_finder[uid].get_weight(fid=fid)
860
861	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
862	enable1D=enable1D, enable2D=enable2D,
863	qmin=qmin, qmax=qmax, weight=weight)
864	self._mac_sleep(0.2)
865
866	def _mac_sleep(self, sec=0.2):
867	"""
868	Give sleep to MAC
869	"""
870	if ON_MAC:
871	time.sleep(sec)
872
873	def draw_model(self, model, page_id, data=None, smearer=None,
874	enable1D=True, enable2D=False,
875	state=None,
876	fid=None,
877	toggle_mode_on=False,
878	qmin=None, qmax=None,
879	update_chisqr=True, weight=None, source='model'):
880	"""
881	Draw model.
882
883	:param model: the model to draw
884	:param name: the name of the model to draw
885	:param data: the data on which the model is based to be drawn
886	:param description: model's description
887	:param enable1D: if true enable drawing model 1D
888	:param enable2D: if true enable drawing model 2D
889	:param qmin: Range's minimum value to draw model
890	:param qmax: Range's maximum value to draw model
891	:param qstep: number of step to divide the x and y-axis
892	:param update_chisqr: update chisqr [bool]
893
894	"""
895	#self.weight = weight
896	if issubclass(data.__class__, Data1D) or not enable2D:
897	## draw model 1D with no loaded data
898	self._draw_model1D(model=model,
899	data=data,
900	page_id=page_id,
901	enable1D=enable1D,
902	smearer=smearer,
903	qmin=qmin,
904	qmax=qmax,
905	fid=fid,
906	weight=weight,
907	toggle_mode_on=toggle_mode_on,
908	state=state,
909	update_chisqr=update_chisqr,
910	source=source)
911	else:
912	## draw model 2D with no initial data
913	self._draw_model2D(model=model,
914	page_id=page_id,
915	data=data,
916	enable2D=enable2D,
917	smearer=smearer,
918	qmin=qmin,
919	qmax=qmax,
920	fid=fid,
921	weight=weight,
922	state=state,
923	toggle_mode_on=toggle_mode_on,
924	update_chisqr=update_chisqr,
925	source=source)
926
927	def onFit(self, uid):
928	"""
929	Get series of data, model, associates parameters and range and send then
930	to series of fit engines. Fit data and model, display result to
931	corresponding panels.
932	:param uid: id related to the panel currently calling this fit function.
933	"""
934	flag = True
935	## count the number of fitproblem schedule to fit
936	fitproblem_count = 0
937	for value in self.page_finder.values():
938	if value.get_scheduled() == 1:
939	fitproblem_count += 1
940	self._gui_engine = self._return_engine_type()
941	self.fitproblem_count = fitproblem_count
942	if self._fit_engine == "park":
943	engineType = "Simultaneous Fit"
944	else:
945	engineType = "Single Fit"
946	fitter_list = []
947	sim_fitter = None
948	is_single_fit = True
949	batch_on = False
950	if self.sim_page is not None and self.sim_page.uid == uid:
951	#simulatanous fit only one engine need to be created
952	## if simultaneous fit change automatically the engine to park
953	self._on_change_engine(engine='park')
954	sim_fitter = Fit(self._fit_engine)
955	sim_fitter.fitter_id = self.sim_page.uid
956	fitter_list.append(sim_fitter)
957	is_single_fit = False
958	batch_on = self.sim_page.batch_on
959
960
961	self.fitproblem_count = fitproblem_count
962	if self._fit_engine == "park":
963	engineType = "Simultaneous Fit"
964	else:
965	engineType = "Single Fit"
966
967	self.current_pg = None
968	list_page_id = []
969	fit_id = 0
970	batch_inputs = {}
971	batch_outputs = {}
972	for page_id, value in self.page_finder.iteritems():
973	# For simulfit (uid give with None), do for-loop
974	# if uid is specified (singlefit), do it only on the page.
975	if engineType == "Single Fit":
976	#combine more than 1 batch page on single mode
977	if self.batch_page is None or self.batch_page.uid != uid:
978	if page_id != uid:
979	continue
980	try:
981	if value.get_scheduled() == 1:
982	value.nbr_residuals_computed = 0
983	#Get list of parameters name to fit
984	pars = []
985	templist = []
986	page = self.fit_panel.get_page_by_id(page_id)
987	self.set_fit_weight(uid=page.uid,
988	flag=page.get_weight_flag(),
989	is2d = page._is_2D())
990	templist = page.get_param_list()
991	flag = page._update_paramv_on_fit()
992	if not flag:
993	msg = "Fitting range or parameter values are"
994	msg += " invalid in %s"% \
995	page.window_caption
996	wx.PostEvent(page.parent.parent,
997	StatusEvent(status= msg, info="error",
998	type="stop"))
999	return flag
1000	for element in templist:
1001	name = str(element[1])
1002	pars.append(name)
1003	fitproblem_list = value.values()
1004	for fitproblem in fitproblem_list:
1005	if sim_fitter is None:
1006	fitter = Fit(self._fit_engine)
1007	fitter.fitter_id = page_id
1008	self._fit_helper(fitproblem=fitproblem,
1009	pars=pars,
1010	fitter=fitter,
1011	fit_id=fit_id,
1012	batch_inputs=batch_inputs,
1013	batch_outputs=batch_outputs)
1014	fitter_list.append(fitter)
1015	else:
1016	fitter = sim_fitter
1017	self._fit_helper(fitproblem=fitproblem,
1018	pars=pars,
1019	fitter=fitter,
1020	fit_id=fit_id,
1021	batch_inputs=batch_inputs,
1022	batch_outputs=batch_outputs)
1023	fit_id += 1
1024	list_page_id.append(page_id)
1025	current_page_id = page_id
1026	value.clear_model_param()
1027	except:
1028	flag = False
1029	msg= "%s error: %s" % (engineType, sys.exc_value)
1030	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
1031	type="stop"))
1032	return flag
1033	## If a thread is already started, stop it
1034	#if self.calc_fit!= None and self.calc_fit.isrunning():
1035	# self.calc_fit.stop()
1036	msg = "Fitting is in progress..."
1037	wx.PostEvent( self.parent, StatusEvent(status=msg, type="progress" ))
1038
1039	#Handler used for park engine displayed message
1040	handler = ConsoleUpdate(parent=self.parent,
1041	manager=self,
1042	improvement_delta=0.1)
1043	self._mac_sleep(0.2)
1044	## perform single fit
1045	try:
1046	page = self.fit_panel.get_page_by_id(uid)
1047	batch_on = page.batch_on
1048	except:
1049	try:
1050	#if the id cannot be found then we deal with a self.sim_page
1051	#or a self.batch_page
1052	if self.sim_page is not None and uid == self.sim_page.uid:
1053	batch_on = self.sim_page.batch_on
1054	if self.batch_page is not None and uid == self.batch_page.uid:
1055	batch_on = self.batch_page.batch_on
1056	except:
1057	batch_on = False
1058	#raise
1059
1060	# batch fit
1061	if batch_on:
1062	calc_fit = FitThread(handler = handler,
1063	fn=fitter_list,
1064	pars=pars,
1065	batch_inputs=batch_inputs,
1066	batch_outputs=batch_outputs,
1067	page_id=list_page_id,
1068	completefn=self._batch_fit_complete,
1069	ftol=self.ftol,
1070	reset_flag=self.batch_reset_flag)
1071	else:
1072	# single fit: not batch and not simul fit
1073	if not is_single_fit:
1074	current_page_id = self.sim_page.uid
1075	## Perform more than 1 fit at the time
1076	calc_fit = FitThread(handler=handler,
1077	fn=fitter_list,
1078	batch_inputs=batch_inputs,
1079	batch_outputs=batch_outputs,
1080	page_id=list_page_id,
1081	updatefn=handler.update_fit,
1082	completefn=self._fit_completed,
1083	ftol=self.ftol)
1084	self.fit_thread_list[current_page_id] = calc_fit
1085	calc_fit.queue()
1086	msg = "Fitting is in progress..."
1087	wx.PostEvent( self.parent, StatusEvent(status=msg, type="progress" ))
1088
1089	self.ready_fit(calc_fit=calc_fit)
1090	return flag
1091
1092	def ready_fit(self, calc_fit):
1093	"""
1094	Ready for another fit
1095	"""
1096	if self.fitproblem_count != None and self.fitproblem_count > 1:
1097	calc_fit.ready(2.5)
1098	else:
1099	time.sleep(0.4)
1100
1101	def remove_plot(self, uid, fid=None, theory=False):
1102	"""
1103	remove model plot when a fit page is closed
1104	:param uid: the id related to the fitpage to close
1105	:param fid: the id of the fitproblem(data, model, range,etc)
1106	"""
1107	if uid not in self.page_finder.keys():
1108	return
1109	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
1110	for fitproblem in fitproblemList:
1111	data = fitproblem.get_fit_data()
1112	model = fitproblem.get_model()
1113	plot_id = None
1114	if model is not None:
1115	plot_id = data.id + name
1116	if theory:
1117	plot_id = data.id
1118	group_id = data.group_id
1119	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
1120	group_id=group_id,
1121	action='remove'))
1122
1123	def store_data(self, uid, data_list=None, caption=None):
1124	"""
1125	Recieve a list of data and store them ans well as a caption of
1126	the fit page where they come from.
1127	:param uid: if related to a fit page
1128	:param data_list: list of data to fit
1129	:param caption: caption of the window related to these data
1130	"""
1131	if data_list is None:
1132	data_list = []
1133
1134	self.page_finder[uid].set_fit_data(data=data_list)
1135	if caption is not None:
1136	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1137
1138	def on_add_new_page(self, event=None):
1139	"""
1140	ask fit panel to create a new empty page
1141	"""
1142	try:
1143	page = self.fit_panel.add_empty_page()
1144	page_caption = page.window_caption
1145	# add data associated to the page created
1146	if page != None:
1147	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
1148	info="info"))
1149	else:
1150	msg = "Page was already Created"
1151	wx.PostEvent(self.parent, StatusEvent(status=msg,
1152	info="warning"))
1153	self.set_top_panel()
1154	except:
1155	msg = "Creating Fit page: %s"%sys.exc_value
1156	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
1157
1158	def add_fit_page(self, data):
1159	"""
1160	given a data, ask to the fitting panel to create a new fitting page,
1161	get this page and store it into the page_finder of this plug-in
1162	:param data: is a list of data
1163	"""
1164	page = self.fit_panel.set_data(data)
1165	# page could be None when loading state files
1166	if page == None:
1167	return page
1168	page_caption = page.window_caption
1169	#append Data1D to the panel containing its theory
1170	#if theory already plotted
1171	if page.uid in self.page_finder:
1172	data = page.get_data()
1173	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
1174	if issubclass(data.__class__, Data2D):
1175	data.group_id = wx.NewId()
1176	if theory_data is not None:
1177	group_id = str(page.uid) + " Model1D"
1178	wx.PostEvent(self.parent,
1179	NewPlotEvent(group_id=group_id,
1180	action="delete"))
1181	self.parent.update_data(prev_data=theory_data,
1182	new_data=data)
1183	else:
1184	if theory_data is not None:
1185	group_id = str(page.uid) + " Model2D"
1186	data.group_id = theory_data.group_id
1187	wx.PostEvent(self.parent,
1188	NewPlotEvent(group_id=group_id,
1189	action="delete"))
1190	self.parent.update_data(prev_data=theory_data,
1191	new_data=data)
1192	self.store_data(uid=page.uid, data_list=page.get_data_list(),
1193	caption=page.window_caption)
1194	if self.sim_page is not None and not self.batch_on:
1195	self.sim_page.draw_page()
1196	if self.batch_page is not None and self.batch_on:
1197	self.batch_page.draw_page()
1198
1199	return page
1200
1201	def _onEVT_SLICER_PANEL(self, event):
1202	"""
1203	receive and event telling to update a panel with a name starting with
1204	event.panel_name. this method update slicer panel
1205	for a given interactor.
1206
1207	:param event: contains type of slicer , paramaters for updating
1208	the panel and panel_name to find the slicer 's panel concerned.
1209	"""
1210	for item in self.parent.panels:
1211	name = event.panel_name
1212	if self.parent.panels[item].window_caption.startswith(name):
1213	self.parent.panels[item].set_slicer(event.type, event.params)
1214
1215	self.parent._mgr.Update()
1216
1217	def _closed_fitpage(self, event):
1218	"""
1219	request fitpanel to close a given page when its unique data is removed
1220	from the plot. close fitpage only when the a loaded data is removed
1221	"""
1222	if event is None or event.data is None:
1223	return
1224	if hasattr(event.data,"is_data"):
1225	if not event.data.is_data or \
1226	event.data.__class__.__name__ == "Data1D":
1227	self.fit_panel.close_page_with_data(event.data)
1228
1229	def _reset_schedule_problem(self, value=0, uid=None):
1230	"""
1231	unschedule or schedule all fitproblem to be fit
1232	"""
1233	# case that uid is not specified
1234	if uid == None:
1235	for page_id in self.page_finder.keys():
1236	self.page_finder[page_id].schedule_tofit(value)
1237	# when uid is given
1238	else:
1239	if uid in self.page_finder.keys():
1240	self.page_finder[uid].schedule_tofit(value)
1241
1242	def _fit_helper(self, fitproblem, pars, fitter, fit_id,
1243	batch_inputs, batch_outputs):
1244	"""
1245	Create and set fit engine with series of data and model
1246	:param pars: list of fittable parameters
1247	:param fitter_list: list of fit engine
1248	:param value: structure storing data mapped to their model, range etc..
1249	"""
1250	data = fitproblem.get_fit_data()
1251	model = fitproblem.get_model()
1252	smearer = fitproblem.get_smearer()
1253	qmin, qmax = fitproblem.get_range()
1254
1255	#Extra list of parameters and their constraints
1256	listOfConstraint = []
1257	param = fitproblem.get_model_param()
1258	if len(param) > 0:
1259	for item in param:
1260	## check if constraint
1261	if item[0] != None and item[1] != None:
1262	listOfConstraint.append((item[0],item[1]))
1263	new_model = model#deepcopy(model)
1264	fitter.set_model(new_model, fit_id, pars, data=data,
1265	constraints=listOfConstraint)
1266	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
1267	qmax=qmax)
1268	fitter.select_problem_for_fit(id=fit_id, value=1)
1269
1270
1271	def _onSelect(self,event):
1272	"""
1273	when Select data to fit a new page is created .Its reference is
1274	added to self.page_finder
1275	"""
1276	self.panel = event.GetEventObject()
1277	Plugin.on_perspective(self, event=event)
1278	self.select_data(self.panel)
1279
1280	def select_data(self, panel):
1281	"""
1282	"""
1283	self.panel = panel
1284	for plottable in self.panel.graph.plottables:
1285	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
1286	data_id = self.panel.graph.selected_plottable
1287	if plottable == self.panel.plots[data_id]:
1288	data = plottable
1289	self.add_fit_page(data=[data])
1290	return
1291	else:
1292	data = plottable
1293	self.add_fit_page(data=[data])
1294	self.set_top_panel()
1295
1296	def update_fit(self, result=None, msg=""):
1297	"""
1298	"""
1299	print "update_fit result", result
1300
1301
1302	def _batch_fit_complete(self, result, pars, page_id,
1303	batch_outputs, batch_inputs, elapsed=None):
1304	"""
1305	Display fit result in batch
1306	:param result: list of objects received fromt fit engines
1307	:param pars: list of fitted parameters names
1308	:param page_id: list of page ids which called fit function
1309	:param elapsed: time spent at the fitting level
1310	"""
1311	self._mac_sleep(0.2)
1312	uid = page_id[0]
1313	if uid in self.fit_thread_list.keys():
1314	del self.fit_thread_list[uid]
1315
1316	self._update_fit_button(page_id)
1317	t1 = time.time()
1318	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1319	msg = "Fit completed on %s \n" % str_time
1320	msg += "Duration time: %s s.\n" % str(elapsed)
1321	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
1322	type="stop"))
1323
1324	if batch_outputs is None:
1325	batch_outputs = {}
1326
1327	# format batch_outputs
1328	batch_outputs["Chi2"] = []
1329	#Don't like these loops
1330	# Need to create dictionary of all fitted parameters
1331	# since the number of parameters can differ between each fit result
1332	for list_res in result:
1333	for res in list_res:
1334	model, data = res.inputs[0]
1335	if model is not None and hasattr(model, "model"):
1336	model = model.model
1337	#get all fittable parameters of the current model
1338	for param in model.getParamList():
1339	if param not in batch_outputs.keys():
1340	batch_outputs[param] = []
1341	for param in model.getDispParamList():
1342	if not model.is_fittable(param) and \
1343	param in batch_outputs.keys():
1344	del batch_outputs[param]
1345	# Add fitted parameters and their error
1346	for param in res.param_list:
1347	if param not in batch_outputs.keys():
1348	batch_outputs[param] = []
1349	err_param = "error on %s" % str(param)
1350	if err_param not in batch_inputs.keys():
1351	batch_inputs[err_param] = []
1352	msg = ""
1353	for list_res in result:
1354	for res in list_res:
1355	pid = res.fitter_id
1356	model, data = res.inputs[0]
1357	correct_result = False
1358	if model is not None and hasattr(model, "model"):
1359	model = model.model
1360	if data is not None and hasattr(data, "sans_data"):
1361	data = data.sans_data
1362
1363	is_data2d = issubclass(data.__class__, Data2D)
1364	#check consistency of arrays
1365	if not is_data2d:
1366	if len(res.theory) == len(res.index[res.index]) and \
1367	len(res.index) == len(data.y):
1368	correct_result = True
1369	else:
1370	copy_data = deepcopy(data)
1371	new_theory = copy_data.data
1372	new_theory[res.index] = res.theory
1373	new_theory[res.index == False] = numpy.nan
1374	correct_result = True
1375	#get all fittable parameters of the current model
1376	param_list = model.getParamList()
1377	for param in model.getDispParamList():
1378	if not model.is_fittable(param) and \
1379	param in param_list:
1380	param_list.remove(param)
1381	if not correct_result or res.fitness is None or \
1382	not numpy.isfinite(res.fitness) or \
1383	numpy.any(res.pvec == None) or not \
1384	numpy.all(numpy.isfinite(res.pvec)):
1385	data_name = str(None)
1386	if data is not None:
1387	data_name = str(data.name)
1388	model_name = str(None)
1389	if model is not None:
1390	model_name = str(model.name)
1391	msg += "Data %s and Model %s did not fit.\n" % (data_name,
1392	model_name)
1393	ERROR = numpy.NAN
1394	cell = BatchCell()
1395	cell.label = res.fitness
1396	cell.value = res.fitness
1397	batch_outputs["Chi2"].append(ERROR)
1398	for param in param_list:
1399	# save value of fixed parameters
1400	if param not in res.param_list:
1401	batch_outputs[str(param)].append(ERROR)
1402	else:
1403	#save only fitted values
1404	batch_outputs[param].append(ERROR)
1405	batch_inputs["error on %s" % str(param)].append(ERROR)
1406	else:
1407	# ToDo: Why sometimes res.pvec comes with numpy.float64?
1408	# Need to fix it within ScipyEngine
1409	if res.pvec.__class__== numpy.float64:
1410	res.pvec = [res.pvec]
1411
1412	cell = BatchCell()
1413	cell.label = res.fitness
1414	cell.value = res.fitness
1415	batch_outputs["Chi2"].append(cell)
1416	# add parameters to batch_results
1417	for param in param_list:
1418	# save value of fixed parameters
1419	if param not in res.param_list:
1420	batch_outputs[str(param)].append(model.getParam(param))
1421	else:
1422	index = res.param_list.index(param)
1423	#save only fitted values
1424	batch_outputs[param].append(res.pvec[index])
1425	if res.stderr is not None and \
1426	len(res.stderr) == len(res.param_list):
1427	item = res.stderr[index]
1428	batch_inputs["error on %s" % param].append(item)
1429	else:
1430	batch_inputs["error on %s" % param].append('-')
1431	model.setParam(param, res.pvec[index])
1432	#fill the batch result with emtpy value if not in the current
1433	#model
1434	EMPTY = "-"
1435	for key in batch_outputs.keys():
1436	if key not in param_list and key not in ["Chi2", "Data"]:
1437	batch_outputs[key].append(EMPTY)
1438	#for key in batch_inputs.keys():
1439	#if key not in param_list and key not in ["Chi2", "Data"]:
1440	#batch_inputs[key].append(EMPTY)
1441
1442	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
1443	batch_outputs=batch_outputs)
1444
1445	cpage = self.fit_panel.get_page_by_id(pid)
1446	cpage._on_fit_complete()
1447	self.page_finder[pid][data.id].set_result(res)
1448	fitproblem = self.page_finder[pid][data.id]
1449	qmin, qmax = fitproblem.get_range()
1450
1451	if correct_result:
1452	if not is_data2d:
1453	self._complete1D(x=data.x, y=res.theory, page_id=pid,
1454	elapsed=None,
1455	index=res.index, model=model,
1456	weight=None, fid=data.id,
1457	toggle_mode_on=False, state=None,
1458	data=data, update_chisqr=False,
1459	source='fit')
1460	else:
1461	self._complete2D(image=new_theory, data=data,
1462	model=model,
1463	page_id=pid, elapsed=None,
1464	index=res.index,
1465	qmin=qmin,
1466	qmax=qmax, fid=data.id, weight=None,
1467	toggle_mode_on=False, state=None,
1468	update_chisqr=False,
1469	source='fit')
1470	self.on_set_batch_result(page_id=pid,
1471	fid=data.id,
1472	batch_outputs=batch_outputs,
1473	batch_inputs=batch_inputs)
1474
1475	wx.PostEvent(self.parent, StatusEvent(status=msg, error="error",
1476	type="stop"))
1477	wx.CallAfter(self.parent.on_set_batch_result,batch_outputs,
1478	batch_inputs,
1479	self.sub_menu)
1480
1481	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
1482	"""
1483	"""
1484
1485	pid = page_id
1486	if fid not in self.page_finder[pid]:
1487	return
1488	fitproblem = self.page_finder[pid][fid]
1489	index = self.page_finder[pid].nbr_residuals_computed - 1
1490	residuals = fitproblem.get_residuals()
1491	theory_data = fitproblem.get_theory_data()
1492	data = fitproblem.get_fit_data()
1493	model = fitproblem.get_model()
1494	#fill batch result information
1495	if "Data" not in batch_outputs.keys():
1496	batch_outputs["Data"] = []
1497	from sans.guiframe.data_processor import BatchCell
1498	cell = BatchCell()
1499	cell.label = data.name
1500	cell.value = index
1501
1502	if theory_data != None:
1503	#Suucessful fit
1504	theory_data.id = wx.NewId()
1505	theory_data.name = model.name + "[%s]" % str(data.name)
1506	if issubclass(theory_data.__class__, Data2D):
1507	group_id = wx.NewId()
1508	theory_data.group_id = group_id
1509	if group_id not in theory_data.list_group_id:
1510	theory_data.list_group_id.append(group_id)
1511
1512	try:
1513	# associate residuals plot
1514	if issubclass(residuals.__class__, Data2D):
1515	group_id = wx.NewId()
1516	residuals.group_id = group_id
1517	if group_id not in residuals.list_group_id:
1518	residuals.list_group_id.append(group_id)
1519	batch_outputs["Chi2"][index].object = [residuals]
1520	except:
1521	pass
1522
1523	cell.object = [data, theory_data]
1524	batch_outputs["Data"].append(cell)
1525	for key, value in data.meta_data.iteritems():
1526	if key not in batch_inputs.keys():
1527	batch_inputs[key] = []
1528	#if key.lower().strip() != "loader":
1529	batch_inputs[key].append(value)
1530	param = "temperature"
1531	if hasattr(data.sample, param):
1532	if param not in batch_inputs.keys():
1533	batch_inputs[param] = []
1534	batch_inputs[param].append(data.sample.temperature)
1535
1536
1537	def _fit_completed(self, result, page_id, batch_outputs,
1538	batch_inputs=None,
1539	pars=None,
1540	elapsed=None):
1541	"""
1542	Display result of the fit on related panel(s).
1543	:param result: list of object generated when fit ends
1544	:param pars: list of names of parameters fitted
1545	:param page_id: list of page ids which called fit function
1546	:param elapsed: time spent at the fitting level
1547	"""
1548	t1 = time.time()
1549	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1550	msg = "Fit completed on %s \n" % str_time
1551	msg += "Duration time: %s s.\n" % str(elapsed)
1552	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
1553	type="stop"))
1554	# reset fit_engine if changed by simul_fit
1555	if self._fit_engine != self._gui_engine:
1556	self._on_change_engine(self._gui_engine)
1557	self._update_fit_button(page_id)
1558	result = result[0]
1559	self.fit_thread_list = {}
1560	if page_id is None:
1561	page_id = []
1562	## fit more than 1 model at the same time
1563	self._mac_sleep(0.2)
1564	try:
1565	index = 0
1566	for uid in page_id:
1567	res = result[index]
1568	if res.fitness is None or \
1569	not numpy.isfinite(res.fitness) or \
1570	numpy.any(res.pvec == None) or \
1571	not numpy.all(numpy.isfinite(res.pvec)):
1572	msg = "Fitting did not converge!!!"
1573	wx.PostEvent(self.parent,
1574	StatusEvent(status=msg,
1575	info="warning",
1576	type="stop"))
1577	self._update_fit_button(page_id)
1578	else:
1579	#set the panel when fit result are float not list
1580	if res.pvec.__class__== numpy.float64:
1581	pvec = [res.pvec]
1582	else:
1583	pvec = res.pvec
1584	if res.stderr.__class__== numpy.float64:
1585	stderr = [res.stderr]
1586	else:
1587	stderr = res.stderr
1588	cpage = self.fit_panel.get_page_by_id(uid)
1589	# Make sure we got all results
1590	#(CallAfter is important to MAC)
1591	wx.CallAfter(cpage.onsetValues, res.fitness, res.param_list,
1592	pvec, stderr)
1593	index += 1
1594	cpage._on_fit_complete()
1595	except:
1596	msg = "Fit completed but Following"
1597	msg += " error occurred:%s" % sys.exc_value
1598	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
1599	type="stop"))
1600
1601	def _update_fit_button(self, page_id):
1602	"""
1603	Update Fit button when fit stopped
1604
1605	: parameter page_id: fitpage where the button is
1606	"""
1607	if page_id.__class__.__name__ != 'list':
1608	page_id = [page_id]
1609	for uid in page_id:
1610	page = self.fit_panel.get_page_by_id(uid)
1611	page._on_fit_complete()
1612
1613	def _on_show_panel(self, event):
1614	"""
1615	"""
1616	pass
1617
1618	def on_reset_batch_flag(self, event):
1619	"""
1620	Set batch_reset_flag
1621	"""
1622	event.Skip()
1623	if self.menu1 == None:
1624	return
1625	menu_item = self.menu1.FindItemById(self.id_reset_flag)
1626	flag = menu_item.IsChecked()
1627	if not flag:
1628	menu_item.Check(False)
1629	self.batch_reset_flag = True
1630	else:
1631	menu_item.Check(True)
1632	self.batch_reset_flag = False
1633
1634	## post a message to status bar
1635	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
1636	wx.PostEvent(self.parent,
1637	StatusEvent(status=msg))
1638
1639	def _onset_engine_park(self,event):
1640	"""
1641	set engine to park
1642	"""
1643	self._on_change_engine('park')
1644
1645	def _onset_engine_scipy(self,event):
1646	"""
1647	set engine to scipy
1648	"""
1649	self._on_change_engine('scipy')
1650
1651	def _on_slicer_event(self, event):
1652	"""
1653	Receive a panel as event and send it to guiframe
1654
1655	:param event: event containing a panel
1656
1657	"""
1658	if event.panel is not None:
1659	new_panel = event.panel
1660	self.slicer_panels.append(event.panel)
1661	# Set group ID if available
1662	event_id = self.parent.popup_panel(new_panel)
1663	new_panel.uid = event_id
1664	self.mypanels.append(new_panel)
1665
1666	def _onclearslicer(self, event):
1667	"""
1668	Clear the boxslicer when close the panel associate with this slicer
1669	"""
1670	name =event.GetPane().caption
1671
1672	for panel in self.slicer_panels:
1673	if panel.window_caption==name:
1674
1675	for item in self.parent.panels:
1676	if hasattr(self.parent.panels[item], "uid"):
1677	if self.parent.panels[item].uid ==panel.base.uid:
1678	self.parent.panels[item].onClearSlicer(event)
1679	self.parent._mgr.Update()
1680	break
1681	break
1682
1683	def _return_engine_type(self):
1684	"""
1685	return the current type of engine
1686	"""
1687	return self._fit_engine
1688
1689
1690	def _on_change_engine(self, engine='park'):
1691	"""
1692	Allow to select the type of engine to perform fit
1693
1694	:param engine: the key work of the engine
1695
1696	"""
1697	## saving fit engine name
1698	self._fit_engine = engine
1699	## change menu item state
1700	if engine == "park":
1701	self.menu1.FindItemById(self.park_id).Check(True)
1702	self.menu1.FindItemById(self.scipy_id).Check(False)
1703	else:
1704	self.menu1.FindItemById(self.park_id).Check(False)
1705	self.menu1.FindItemById(self.scipy_id).Check(True)
1706	## post a message to status bar
1707	msg = "Engine set to: %s" % self._fit_engine
1708	wx.PostEvent(self.parent,
1709	StatusEvent(status=msg))
1710	## send the current engine type to fitpanel
1711	self.fit_panel._on_engine_change(name=self._fit_engine)
1712
1713
1714	def _on_model_panel(self, evt):
1715	"""
1716	react to model selection on any combo box or model menu.plot the model
1717
1718	:param evt: wx.combobox event
1719
1720	"""
1721	model = evt.model
1722	uid = evt.uid
1723	qmin = evt.qmin
1724	qmax = evt.qmax
1725	smearer = evt.smearer
1726	caption = evt.caption
1727	enable_smearer = evt.enable_smearer
1728	if model == None:
1729	return
1730	if uid not in self.page_finder.keys():
1731	return
1732	# save the name containing the data name with the appropriate model
1733	self.page_finder[uid].set_model(model)
1734	self.page_finder[uid].enable_smearing(enable_smearer)
1735	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1736	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1737	if self.sim_page is not None and not self.batch_on:
1738	self.sim_page.draw_page()
1739	if self.batch_page is not None and self.batch_on:
1740	self.batch_page.draw_page()
1741
1742	def _update1D(self, x, output):
1743	"""
1744	Update the output of plotting model 1D
1745	"""
1746	msg = "Plot updating ... "
1747	wx.PostEvent(self.parent, StatusEvent(status=msg,type="update"))
1748
1749	def _complete1D(self, x, y, page_id, elapsed, index, model,
1750	weight=None, fid=None,
1751	toggle_mode_on=False, state=None,
1752	data=None, update_chisqr=True, source='model'):
1753	"""
1754	Complete plotting 1D data
1755	"""
1756	try:
1757	numpy.nan_to_num(y)
1758
1759	new_plot = Data1D(x=x, y=y)
1760	new_plot.is_data = False
1761	new_plot.dy = numpy.zeros(len(y))
1762	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1763	_yaxis, _yunit = data.get_yaxis()
1764	_xaxis, _xunit = data.get_xaxis()
1765	new_plot.title = data.name
1766
1767	new_plot.group_id = data.group_id#self.page_finder[page_id].get_graph_id()
1768	if new_plot.group_id == None:
1769	new_plot.group_id = data.group_id
1770	new_plot.id = str(page_id) + "model"
1771	#if new_plot.id in self.color_dict:
1772	# new_plot.custom_color = self.color_dict[new_plot.id]
1773	#find if this theory was already plotted and replace that plot given
1774	#the same id
1775	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
1776
1777	if data.is_data:
1778	data_name = str(data.name)
1779	else:
1780	data_name = str(model.__class__.__name__)
1781
1782	new_plot.name = model.name + " ["+ data_name +"]"
1783	new_plot.xaxis(_xaxis, _xunit)
1784	new_plot.yaxis(_yaxis, _yunit)
1785	self.page_finder[page_id].set_theory_data(data=new_plot,
1786	fid=data.id)
1787	self.parent.update_theory(data_id=data.id, theory=new_plot,
1788	state=state)
1789	current_pg = self.fit_panel.get_page_by_id(page_id)
1790	title = new_plot.title
1791	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1792	if not batch_on:
1793	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1794	title=str(title)))
1795	else:
1796	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
1797	if data.id == top_data_id:
1798	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1799	title=str(title)))
1800	caption = current_pg.window_caption
1801	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
1802
1803	self.page_finder[page_id].set_theory_data(data=new_plot,
1804	fid=data.id)
1805	if toggle_mode_on:
1806	wx.PostEvent(self.parent,
1807	NewPlotEvent(group_id=str(page_id) + " Model2D",
1808	action="Hide"))
1809	else:
1810	if update_chisqr:
1811	wx.PostEvent(current_pg,
1812	Chi2UpdateEvent(output=self._cal_chisqr(
1813	data=data,
1814	fid=fid,
1815	weight=weight,
1816	page_id=page_id,
1817	index=index)))
1818	else:
1819	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1820	index=index, weight=weight)
1821
1822	msg = "Computation completed!"
1823	wx.PostEvent( self.parent, StatusEvent(status=msg, type="stop" ))
1824	except:
1825	raise
1826	#msg = " Error occurred when drawing %s Model 1D: " % new_plot.name
1827	#msg += " %s" % sys.exc_value
1828	#wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1829
1830	def _update2D(self, output,time=None):
1831	"""
1832	Update the output of plotting model
1833	"""
1834	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1835	#updating ... ", type="update"))
1836	#self.ready_fit()
1837
1838	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1839	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
1840	update_chisqr=True, source='model'):
1841	"""
1842	Complete get the result of modelthread and create model 2D
1843	that can be plot.
1844	"""
1845	numpy.nan_to_num(image)
1846	new_plot= Data2D(image=image, err_image=data.err_data)
1847	new_plot.name = model.name
1848	new_plot.title = "Analytical model 2D "
1849	new_plot.id = str(page_id) + "model"
1850	new_plot.group_id = str(page_id) + " Model2D"
1851	new_plot.detector = data.detector
1852	new_plot.source = data.source
1853	new_plot.is_data = False
1854	new_plot.qx_data = data.qx_data
1855	new_plot.qy_data = data.qy_data
1856	new_plot.q_data = data.q_data
1857	new_plot.mask = data.mask
1858	## plot boundaries
1859	new_plot.ymin = data.ymin
1860	new_plot.ymax = data.ymax
1861	new_plot.xmin = data.xmin
1862	new_plot.xmax = data.xmax
1863	title = data.title
1864
1865	new_plot.is_data = False
1866	if data.is_data:
1867	data_name = str(data.name)
1868	else:
1869	data_name = str(model.__class__.__name__)
1870
1871	if len(title) > 1:
1872	new_plot.title = "Model2D for " + data_name
1873	new_plot.name = model.name + " [" + \
1874	data_name + "-2D]"
1875	theory_data = deepcopy(new_plot)
1876	theory_data.name = "Unknown"
1877
1878	self.page_finder[page_id].set_theory_data(data=theory_data, fid=data.id)
1879	self.parent.update_theory(data_id=data.id,
1880	theory=new_plot,
1881	state=state)
1882	current_pg = self.fit_panel.get_page_by_id(page_id)
1883	title = new_plot.title
1884	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1885	if not source == 'fit':
1886	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1887	title=title))
1888	self.page_finder[page_id].set_theory_data(data=new_plot, fid=data.id)
1889	if toggle_mode_on:
1890	wx.PostEvent(self.parent,
1891	NewPlotEvent(group_id=str(page_id) + " Model1D",
1892	action="Hide"))
1893	else:
1894	# Chisqr in fitpage
1895	if update_chisqr:
1896	wx.PostEvent(current_pg,
1897	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1898	weight=weight,
1899	fid=fid,
1900	page_id=page_id,
1901	index=index)))
1902	else:
1903	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1904	index=index, weight=weight)
1905	msg = "Computation completed!"
1906	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1907
1908	def _draw_model2D(self, model, page_id, qmin,
1909	qmax,
1910	data=None, smearer=None,
1911	description=None, enable2D=False,
1912	state=None,
1913	fid=None,
1914	weight=None,
1915	toggle_mode_on=False,
1916	update_chisqr=True, source='model'):
1917	"""
1918	draw model in 2D
1919
1920	:param model: instance of the model to draw
1921	:param description: the description of the model
1922	:param enable2D: when True allows to draw model 2D
1923	:param qmin: the minimum value to draw model 2D
1924	:param qmax: the maximum value to draw model 2D
1925	:param qstep: the number of division of Qx and Qy of the model to draw
1926
1927	"""
1928	if not enable2D:
1929	return None
1930	try:
1931	from model_thread import Calc2D
1932	## If a thread is already started, stop it
1933	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1934	self.calc_2D.stop()
1935	self.calc_2D = Calc2D(model=model,
1936	data=data,
1937	page_id=page_id,
1938	smearer=smearer,
1939	qmin=qmin,
1940	qmax=qmax,
1941	weight=weight,
1942	fid=fid,
1943	toggle_mode_on=toggle_mode_on,
1944	state=state,
1945	completefn=self._complete2D,
1946	update_chisqr=update_chisqr, source=source)
1947	self.calc_2D.queue()
1948
1949	except:
1950	raise
1951	#msg = " Error occurred when drawing %s Model 2D: " % model.name
1952	#msg += " %s" % sys.exc_value
1953	#wx.PostEvent(self.parent, StatusEvent(status=msg))
1954
1955	def _draw_model1D(self, model, page_id, data,
1956	qmin, qmax, smearer=None,
1957	state=None,
1958	weight=None,
1959	fid=None,
1960	toggle_mode_on=False, update_chisqr=True, source='model',
1961	enable1D=True):
1962	"""
1963	Draw model 1D from loaded data1D
1964
1965	:param data: loaded data
1966	:param model: the model to plot
1967
1968	"""
1969	if not enable1D:
1970	return
1971	try:
1972	from model_thread import Calc1D
1973	## If a thread is already started, stop it
1974	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1975	self.calc_1D.stop()
1976	self.calc_1D = Calc1D(data=data,
1977	model=model,
1978	page_id=page_id,
1979	qmin=qmin,
1980	qmax=qmax,
1981	smearer=smearer,
1982	state=state,
1983	weight=weight,
1984	fid=fid,
1985	toggle_mode_on=toggle_mode_on,
1986	completefn=self._complete1D,
1987	#updatefn = self._update1D,
1988	update_chisqr=update_chisqr,
1989	source=source)
1990	self.calc_1D.queue()
1991	except:
1992	msg = " Error occurred when drawing %s Model 1D: " % model.name
1993	msg += " %s" % sys.exc_value
1994	wx.PostEvent(self.parent, StatusEvent(status=msg))
1995
1996
1997
1998	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
1999	"""
2000	Get handy Chisqr using the output from draw1D and 2D,
2001	instead of calling expansive CalcChisqr in guithread
2002	"""
2003	data_copy = deepcopy(data)
2004	# default chisqr
2005	chisqr = None
2006	#to compute chisq make sure data has valid data
2007	# return None if data == None
2008	if not check_data_validity(data_copy) or data_copy == None:
2009	return chisqr
2010
2011	# Get data: data I, theory I, and data dI in order
2012	if data_copy.__class__.__name__ == "Data2D":
2013	if index == None:
2014	index = numpy.ones(len(data_copy.data),ntype=bool)
2015	if weight != None:
2016	data_copy.err_data = weight
2017	# get rid of zero error points
2018	index = index & (data_copy.err_data != 0)
2019	index = index & (numpy.isfinite(data_copy.data))
2020	fn = data_copy.data[index]
2021	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2022	if theory_data== None:
2023	return chisqr
2024	gn = theory_data.data[index]
2025	en = data_copy.err_data[index]
2026	else:
2027	# 1 d theory from model_thread is only in the range of index
2028	if index == None:
2029	index = numpy.ones(len(data_copy.y), ntype=bool)
2030	if weight != None:
2031	data_copy.dy = weight
2032	if data_copy.dy == None or data_copy.dy == []:
2033	dy = numpy.ones(len(data_copy.y))
2034	else:
2035	## Set consitently w/AbstractFitengine:
2036	# But this should be corrected later.
2037	dy = deepcopy(data_copy.dy)
2038	dy[dy==0] = 1
2039	fn = data_copy.y[index]
2040
2041	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2042	if theory_data== None:
2043	return chisqr
2044	gn = theory_data.y
2045	en = dy[index]
2046
2047	# residual
2048	res = (fn - gn) / en
2049	residuals = res[numpy.isfinite(res)]
2050	# get chisqr only w/finite
2051	chisqr = numpy.average(residuals * residuals)
2052
2053	self._plot_residuals(page_id=page_id, data=data_copy,
2054	fid=fid,
2055	weight=weight, index=index)
2056
2057	return chisqr
2058
2059	def _plot_residuals(self, page_id, weight, fid=None,
2060	data=None, index=None):
2061	"""
2062	Plot the residuals
2063
2064	:param data: data
2065	:param index: index array (bool)
2066	: Note: this is different from the residuals in cal_chisqr()
2067	"""
2068	data_copy = deepcopy(data)
2069	# Get data: data I, theory I, and data dI in order
2070	if data_copy.__class__.__name__ == "Data2D":
2071	# build residuals
2072	residuals = Data2D()
2073	#residuals.copy_from_datainfo(data)
2074	# Not for trunk the line below, instead use the line above
2075	data_copy.clone_without_data(len(data_copy.data), residuals)
2076	residuals.data = None
2077	fn = data_copy.data#[index]
2078	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2079	gn = theory_data.data#[index]
2080	if weight == None:
2081	en = data_copy.err_data
2082	else:
2083	en = weight
2084	residuals.data = (fn - gn) / en
2085	residuals.qx_data = data_copy.qx_data#[index]
2086	residuals.qy_data = data_copy.qy_data #[index]
2087	residuals.q_data = data_copy.q_data#[index]
2088	residuals.err_data = numpy.ones(len(residuals.data))#[index]
2089	residuals.xmin = min(residuals.qx_data)
2090	residuals.xmax = max(residuals.qx_data)
2091	residuals.ymin = min(residuals.qy_data)
2092	residuals.ymax = max(residuals.qy_data)
2093	residuals.q_data = data_copy.q_data#[index]
2094	residuals.mask = data_copy.mask
2095	residuals.scale = 'linear'
2096	# check the lengths
2097	if len(residuals.data) != len(residuals.q_data):
2098	return
2099	else:
2100	# 1 d theory from model_thread is only in the range of index
2101	if data_copy.dy == None or data_copy.dy == []:
2102	dy = numpy.ones(len(data_copy.y))
2103	else:
2104	if weight == None:
2105	dy = numpy.ones(len(data_copy.y))
2106	## Set consitently w/AbstractFitengine:
2107	## But this should be corrected later.
2108	else:
2109	dy = weight#deepcopy(data_copy.dy)
2110	dy[dy==0] = 1
2111	fn = data_copy.y[index]
2112	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2113	gn = theory_data.y
2114	en = dy[index]
2115	# build residuals
2116	residuals = Data1D()
2117	residuals.y = (fn - gn) / en
2118	residuals.x = data_copy.x[index]
2119	residuals.dy = numpy.ones(len(residuals.y))
2120	residuals.dx = None
2121	residuals.dxl = None
2122	residuals.dxw = None
2123	residuals.ytransform = 'y'
2124	# For latter scale changes
2125	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
2126	residuals.yaxis('\\rm{Residuals} ', 'normalized')
2127	new_plot = residuals
2128	new_plot.name = "Residuals for " + str(theory_data.name.split()[0]) +"[" + str(data.name) +"]"
2129	## allow to highlight data when plotted
2130	new_plot.interactive = True
2131	## when 2 data have the same id override the 1 st plotted
2132	new_plot.id = "res" + str(data_copy.id)#name + " residuals"
2133	##group_id specify on which panel to plot this data
2134	group_id = self.page_finder[page_id].get_graph_id()
2135	if group_id == None:
2136	group_id = data.group_id
2137	new_plot.group_id ="res" + str(group_id)
2138	#new_plot.is_data = True
2139	##post data to plot
2140	title = new_plot.name
2141	self.page_finder[page_id].set_residuals(residuals=new_plot, fid=data.id)
2142	self.parent.update_theory(data_id=data.id, theory=new_plot)
2143	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
2144	if not batch_on:
2145	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))
2146
2147
2148	#def profile(fn, args, *kw):
2149	# import cProfile, pstats, os
2150	# global call_result
2151	# def call():
2152	# global call_result
2153	# call_result = fn(args, *kw)
2154	# cProfile.runctx('call()', dict(call=call), {}, 'profile.out')
2155	# stats = pstats.Stats('profile.out')
2156	# #stats.sort_stats('time')
2157	# stats.sort_stats('calls')
2158	# stats.print_stats()
2159	# os.unlink('profile.out')
2160	# return call_result
2161	if __name__ == "__main__":
2162	i = Plugin()
2163
2164
2165
2166

Note: See TracBrowser for help on using the repository browser.

SasView

source: sasview/fittingview/src/sans/perspectives/fitting/fitting.py @ cdc2ee2

Download in other formats: