fitting.py @ 60dca65c

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 60dca65c was f76bf17, checked in by krzywon, 10 years ago
A fix ticket for #324 - logging now captures and records warnings in the cosole log. Removed a redundant separator in the Fitting menu that was there from when the fitting engines were still available. Changed the logging type of a successful data load from a warning to info.
Property mode set to `100644`
File size: 83.1 KB

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1	"""
2	Fitting perspective
3	"""
4	################################################################################
5	#This software was developed by the University of Tennessee as part of the
6	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
7	#project funded by the US National Science Foundation.
8	#
9	#See the license text in license.txt
10	#
11	#copyright 2009, University of Tennessee
12	################################################################################
13	import re
14	import sys
15	import os
16	import wx
17	import logging
18	import numpy
19	import time
20	from copy import deepcopy
21	import models
22
23	from sas.dataloader.loader import Loader
24	from sas.guiframe.dataFitting import Data2D
25	from sas.guiframe.dataFitting import Data1D
26	from sas.guiframe.dataFitting import check_data_validity
27	from sas.guiframe.events import NewPlotEvent
28	from sas.guiframe.events import StatusEvent
29	from sas.guiframe.events import EVT_SLICER_PANEL
30	from sas.guiframe.events import EVT_SLICER_PARS_UPDATE
31	from sas.guiframe.gui_style import GUIFRAME_ID
32	from sas.guiframe.plugin_base import PluginBase
33	from sas.guiframe.data_processor import BatchCell
34	from sas.fit.Fitting import Fit
35	from sas.perspectives.fitting.console import ConsoleUpdate
36	from sas.perspectives.fitting.fitproblem import FitProblemDictionary
37	from sas.perspectives.fitting.fitpanel import FitPanel
38	from sas.perspectives.fitting.resultpanel import ResultPanel, PlotResultEvent
39
40	from sas.perspectives.fitting.fit_thread import FitThread
41	from sas.perspectives.fitting.pagestate import Reader
42	from sas.perspectives.fitting.fitpage import Chi2UpdateEvent
43	from sas.perspectives.calculator.model_editor import TextDialog
44	from sas.perspectives.calculator.model_editor import EditorWindow
45	from sas.guiframe.gui_manager import MDIFrame
46
47	MAX_NBR_DATA = 4
48
49	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
50
51
52	if sys.platform == "win32":
53	ON_MAC = False
54	else:
55	ON_MAC = True
56
57
58
59	class Plugin(PluginBase):
60	"""
61	Fitting plugin is used to perform fit
62	"""
63	def __init__(self, standalone=False):
64	PluginBase.__init__(self, name="Fitting", standalone=standalone)
65
66	#list of panel to send to guiframe
67	self.mypanels = []
68	# reference to the current running thread
69	self.calc_2D = None
70	self.calc_1D = None
71
72	self.color_dict = {}
73
74	self.fit_thread_list = {}
75	self.residuals = None
76	self.weight = None
77	self.fit_panel = None
78	self.plot_panel = None
79	# Start with a good default
80	self.elapsed = 0.022
81	self.fit_panel = None
82	#Flag to let the plug-in know that it is running stand alone
83	self.standalone = True
84	## dictionary of page closed and id
85	self.closed_page_dict = {}
86	## Fit engine
87	self._fit_engine = 'bumps'
88	self._gui_engine = None
89	## Relative error desired in the sum of squares (float)
90	self.batch_reset_flag = True
91	#List of selected data
92	self.selected_data_list = []
93	## list of slicer panel created to display slicer parameters and results
94	self.slicer_panels = []
95	# model 2D view
96	self.model2D_id = None
97	#keep reference of the simultaneous fit page
98	self.sim_page = None
99	self.sim_menu = None
100	self.batch_page = None
101	self.batch_menu = None
102	self.index_model = 0
103	self.test_model_color = None
104	#Create a reader for fit page's state
105	self.state_reader = None
106	self._extensions = '.fitv'
107	self.menu1 = None
108	self.new_model_frame = None
109
110	self.temp_state = []
111	self.state_index = 0
112	self.sfile_ext = None
113	# take care of saving data, model and page associated with each other
114	self.page_finder = {}
115	# Log startup
116	logging.info("Fitting plug-in started")
117	self.batch_capable = self.get_batch_capable()
118
119	def get_batch_capable(self):
120	"""
121	Check if the plugin has a batch capability
122	"""
123	return True
124
125	def create_fit_problem(self, page_id):
126	"""
127	Given an ID create a fitproblem container
128	"""
129	self.page_finder[page_id] = FitProblemDictionary()
130
131	def delete_fit_problem(self, page_id):
132	"""
133	Given an ID create a fitproblem container
134	"""
135	if page_id in self.page_finder.iterkeys():
136	del self.page_finder[page_id]
137
138	def add_color(self, color, id):
139	"""
140	adds a color as a key with a plot id as its value to a dictionary
141	"""
142	self.color_dict[id] = color
143
144	def on_batch_selection(self, flag):
145	"""
146	switch the the notebook of batch mode or not
147	"""
148	self.batch_on = flag
149	if self.fit_panel is not None:
150	self.fit_panel.batch_on = self.batch_on
151
152	def populate_menu(self, owner):
153	"""
154	Create a menu for the Fitting plug-in
155
156	:param id: id to create a menu
157	:param owner: owner of menu
158
159	:return: list of information to populate the main menu
160
161	"""
162	#Menu for fitting
163	self.menu1 = wx.Menu()
164	id1 = wx.NewId()
165	simul_help = "Add new fit panel"
166	self.menu1.Append(id1, '&New Fit Page', simul_help)
167	wx.EVT_MENU(owner, id1, self.on_add_new_page)
168	self.menu1.AppendSeparator()
169	self.id_simfit = wx.NewId()
170	simul_help = "Constrained or Simultaneous Fit"
171	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
172	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
173	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
174	self.sim_menu.Enable(False)
175	#combined Batch
176	self.id_batchfit = wx.NewId()
177	batch_help = "Combined Batch"
178	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
179	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
180	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
181	self.batch_menu.Enable(False)
182
183	self.menu1.AppendSeparator()
184	self.id_bumps_options = wx.NewId()
185	bopts_help = "Fitting options"
186	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
187	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
188	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
189	self.bumps_options_menu.Enable(True)
190
191	self.id_result_panel = wx.NewId()
192	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
193	wx.EVT_MENU(owner, self.id_result_panel, lambda ev: self.result_frame.Show())
194	self.menu1.AppendSeparator()
195
196	self.id_reset_flag = wx.NewId()
197	resetf_help = "BatchFit: If checked, the initial param values will be "
198	resetf_help += "propagated from the previous results. "
199	resetf_help += "Otherwise, the same initial param values will be used "
200	resetf_help += "for all fittings."
201	self.menu1.AppendCheckItem(self.id_reset_flag,
202	"Chain Fitting [BatchFit Only]",
203	resetf_help)
204	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
205	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
206	chain_menu.Check(not self.batch_reset_flag)
207	chain_menu.Enable(self.batch_on)
208
209	self.menu1.AppendSeparator()
210	self.edit_model_menu = wx.Menu()
211	# Find and put files name in menu
212	try:
213	self.set_edit_menu(owner=owner)
214	except:
215	raise
216
217	self.id_edit = wx.NewId()
218	editmodel_help = "Edit customized model sample file"
219	self.menu1.AppendMenu(self.id_edit, "Edit Custom Model",
220	self.edit_model_menu, editmodel_help)
221	#create menubar items
222	return [(self.menu1, self.sub_menu)]
223
224	def edit_custom_model(self, event):
225	"""
226	Get the python editor panel
227	"""
228	id = event.GetId()
229	label = self.edit_menu.GetLabel(id)
230	from sas.perspectives.calculator.pyconsole import PyConsole
231	filename = os.path.join(models.find_plugins_dir(), label)
232	frame = PyConsole(parent=self.parent, manager=self,
233	panel=self.fit_panel,
234	title='Advanced Custom Model Editor',
235	filename=filename)
236	self.put_icon(frame)
237	frame.Show(True)
238
239	def delete_custom_model(self, event):
240	"""
241	Delete custom model file
242	"""
243	id = event.GetId()
244	label = self.delete_menu.GetLabel(id)
245	toks = os.path.splitext(label)
246	path = os.path.join(models.find_plugins_dir(), toks[0])
247	try:
248	for ext in ['.py', '.pyc']:
249	p_path = path + ext
250	os.remove(p_path)
251	self.update_custom_combo()
252	if os.path.isfile(p_path):
253	msg = "Sorry! Could not be able to delete the default "
254	msg += "custom model... \n"
255	msg += "Please manually remove the files (.py, .pyc) "
256	msg += "in the 'plugin_models' folder \n"
257	msg += "inside of the SasView application, "
258	msg += "and try it again."
259	wx.MessageBox(msg, 'Info')
260	#wx.PostEvent(self.parent, StatusEvent(status=msg, type='stop',
261	# info='warning'))
262	else:
263	self.delete_menu.Delete(id)
264	for item in self.edit_menu.GetMenuItems():
265	if item.GetLabel() == label:
266	self.edit_menu.DeleteItem(item)
267	msg = "The custom model, %s, has been deleted." % label
268	wx.PostEvent(self.parent, StatusEvent(status=msg,
269	type='stop', info='info'))
270	break
271	except:
272	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
273	wx.MessageBox(msg, 'Error')
274
275	def make_sum_model(self, event):
276	"""
277	Edit summodel template and make one
278	"""
279	id = event.GetId()
280	model_manager = models.ModelManager()
281	model_list = model_manager.get_model_name_list()
282	plug_dir = models.find_plugins_dir()
283	textdial = TextDialog(None, self, -1, 'Easy Sum/Multi(p1, p2) Editor',
284	model_list, plug_dir)
285	self.put_icon(textdial)
286	textdial.ShowModal()
287	textdial.Destroy()
288
289	def make_new_model(self, event):
290	"""
291	Make new model
292	"""
293	if self.new_model_frame != None:
294	self.new_model_frame.Show(False)
295	self.new_model_frame.Show(True)
296	else:
297	id = event.GetId()
298	dir_path = models.find_plugins_dir()
299	title = "New Custom Model Function"
300	self.new_model_frame = EditorWindow(parent=self, base=self,
301	path=dir_path, title=title)
302	self.put_icon(self.new_model_frame)
303	self.new_model_frame.Show(True)
304
305	def update_custom_combo(self):
306	"""
307	Update custom model list in the fitpage combo box
308	"""
309	custom_model = 'Customized Models'
310	try:
311	# Update edit menus
312	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
313	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
314	temp = self.fit_panel.reset_pmodel_list()
315	if temp:
316	# Set the new custom model list for all fit pages
317	for uid, page in self.fit_panel.opened_pages.iteritems():
318	if hasattr(page, "formfactorbox"):
319	page.model_list_box = temp
320	current_val = page.formfactorbox.GetLabel()
321	#if page.plugin_rbutton.GetValue():
322	mod_cat = page.categorybox.GetStringSelection()
323	if mod_cat == custom_model:
324	#pos = page.formfactorbox.GetSelection()
325	page._show_combox_helper()
326	new_val = page.formfactorbox.GetLabel()
327	if current_val != new_val and new_val != '':
328	page.formfactorbox.SetLabel(new_val)
329	else:
330	page.formfactorbox.SetLabel(current_val)
331	except:
332	pass
333
334
335	def set_edit_menu(self, owner):
336	"""
337	Set list of the edit model menu labels
338	"""
339	id = wx.NewId()
340	#new_model_menu = wx.Menu()
341	self.edit_model_menu.Append(id, 'New',
342	'Add a new model function')
343	wx.EVT_MENU(owner, id, self.make_new_model)
344	id = wx.NewId()
345	self.edit_model_menu.Append(id, 'Sum\|Multi(p1, p2)',
346	'Sum of two model functions')
347	wx.EVT_MENU(owner, id, self.make_sum_model)
348	e_id = wx.NewId()
349	self.edit_menu = wx.Menu()
350	self.edit_model_menu.AppendMenu(e_id,
351	'Advanced', self.edit_menu)
352	self.set_edit_menu_helper(owner, self.edit_custom_model)
353
354	d_id = wx.NewId()
355	self.delete_menu = wx.Menu()
356	self.edit_model_menu.AppendMenu(d_id,
357	'Delete', self.delete_menu)
358	self.set_edit_menu_helper(owner, self.delete_custom_model)
359
360	def set_edit_menu_helper(self, owner=None, menu=None):
361	"""
362	help for setting list of the edit model menu labels
363	"""
364	if menu == None:
365	menu = self.edit_custom_model
366	list_fnames = os.listdir(models.find_plugins_dir())
367	list_fnames.sort()
368	for f_item in list_fnames:
369	name = os.path.basename(f_item)
370	toks = os.path.splitext(name)
371	if toks[-1] == '.py' and not toks[0] == '__init__':
372	if menu == self.edit_custom_model:
373	if toks[0] == 'easy_sum_of_p1_p2':
374	continue
375	submenu = self.edit_menu
376	else:
377	submenu = self.delete_menu
378	has_file = False
379	for item in submenu.GetMenuItems():
380	if name == submenu.GetLabel(item.GetId()):
381	has_file = True
382	if not has_file:
383	id = wx.NewId()
384	submenu.Append(id, name)
385	wx.EVT_MENU(owner, id, menu)
386	has_file = False
387
388	def put_icon(self, frame):
389	"""
390	Put icon in the frame title bar
391	"""
392	if hasattr(frame, "IsIconized"):
393	if not frame.IsIconized():
394	try:
395	icon = self.parent.GetIcon()
396	frame.SetIcon(icon)
397	except:
398	pass
399
400	def on_add_sim_page(self, event):
401	"""
402	Create a page to access simultaneous fit option
403	"""
404	id = event.GetId()
405	caption = "Const & Simul Fit"
406	page = self.sim_page
407	if id == self.id_batchfit:
408	caption = "Combined Batch"
409	page = self.batch_page
410
411	def set_focus_page(page):
412	page.Show(True)
413	page.Refresh()
414	page.SetFocus()
415	#self.parent._mgr.Update()
416	msg = "%s already opened\n" % str(page.window_caption)
417	wx.PostEvent(self.parent, StatusEvent(status=msg))
418
419	if page != None:
420	return set_focus_page(page)
421	if caption == "Const & Simul Fit":
422	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
423	else:
424	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
425
426	def get_context_menu(self, plotpanel=None):
427	"""
428	Get the context menu items available for P(r).them allow fitting option
429	for Data2D and Data1D only.
430
431	:param graph: the Graph object to which we attach the context menu
432
433	:return: a list of menu items with call-back function
434
435	:note: if Data1D was generated from Theory1D
436	the fitting option is not allowed
437
438	"""
439	self.plot_panel = plotpanel
440	graph = plotpanel.graph
441	fit_option = "Select data for fitting"
442	fit_hint = "Dialog with fitting parameters "
443
444	if graph.selected_plottable not in plotpanel.plots:
445	return []
446	item = plotpanel.plots[graph.selected_plottable]
447	if item.__class__.__name__ is "Data2D":
448	if hasattr(item, "is_data"):
449	if item.is_data:
450	return [[fit_option, fit_hint, self._onSelect]]
451	else:
452	return []
453	return [[fit_option, fit_hint, self._onSelect]]
454	else:
455
456	# if is_data is true , this in an actual data loaded
457	#else it is a data created from a theory model
458	if hasattr(item, "is_data"):
459	if item.is_data:
460	return [[fit_option, fit_hint, self._onSelect]]
461	else:
462	return []
463	return [[fit_option, fit_hint, self._onSelect]]
464	return []
465
466	def get_panels(self, parent):
467	"""
468	Create and return a list of panel objects
469	"""
470	self.parent = parent
471	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
472	# Creation of the fit panel
473	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
474	self.fit_panel = FitPanel(parent=self.frame, manager=self)
475	self.frame.set_panel(self.fit_panel)
476	self._frame_set_helper()
477	self.on_add_new_page(event=None)
478	#Set the manager for the main panel
479	self.fit_panel.set_manager(self)
480	# List of windows used for the perspective
481	self.perspective = []
482	self.perspective.append(self.fit_panel.window_name)
483
484	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
485	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
486	self.perspective.append(self.result_panel.window_name)
487
488	#index number to create random model name
489	self.index_model = 0
490	self.index_theory = 0
491	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
492	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
493	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
494	#Create reader when fitting panel are created
495	self.state_reader = Reader(self.set_state)
496	#append that reader to list of available reader
497	loader = Loader()
498	loader.associate_file_reader(".fitv", self.state_reader)
499	#Send the fitting panel to guiframe
500	self.mypanels.append(self.fit_panel)
501	self.mypanels.append(self.result_panel)
502	return self.mypanels
503
504	def clear_panel(self):
505	"""
506	"""
507	self.fit_panel.clear_panel()
508
509	def delete_data(self, data):
510	"""
511	delete the given data from panel
512	"""
513	self.fit_panel.delete_data(data)
514
515	def set_data(self, data_list=None):
516	"""
517	receive a list of data to fit
518	"""
519	if data_list is None:
520	data_list = []
521	selected_data_list = []
522	if self.batch_on:
523	page = self.add_fit_page(data=data_list)
524	else:
525	if len(data_list) > MAX_NBR_DATA:
526	from fitting_widgets import DataDialog
527	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
528	if dlg.ShowModal() == wx.ID_OK:
529	selected_data_list = dlg.get_data()
530	dlg.Destroy()
531
532	else:
533	selected_data_list = data_list
534	try:
535	group_id = wx.NewId()
536	for data in selected_data_list:
537	if data is not None:
538	# 2D has no same group_id
539	if data.__class__.__name__ == 'Data2D':
540	group_id = wx.NewId()
541	data.group_id = group_id
542	if group_id not in data.list_group_id:
543	data.list_group_id.append(group_id)
544	page = self.add_fit_page(data=[data])
545	except:
546	msg = "Fitting Set_data: " + str(sys.exc_value)
547	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
548
549	def set_theory(self, theory_list=None):
550	"""
551	"""
552	#set the model state for a given theory_state:
553	for item in theory_list:
554	try:
555	_, theory_state = item
556	self.fit_panel.set_model_state(theory_state)
557	except:
558	msg = "Fitting: cannot deal with the theory received"
559	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
560	wx.PostEvent(self.parent,
561	StatusEvent(status=msg, info="error"))
562
563	def set_state(self, state=None, datainfo=None, format=None):
564	"""
565	Call-back method for the fit page state reader.
566	This method is called when a .fitv/.svs file is loaded.
567
568	: param state: PageState object
569	: param datainfo: data
570	"""
571	#state = self.state_reader.get_state()
572	if state != None:
573	state = state.clone()
574	# store fitting state in temp_state
575	self.temp_state.append(state)
576	else:
577	self.temp_state = []
578	# index to start with for a new set_state
579	self.state_index = 0
580	# state file format
581	self.sfile_ext = format
582
583	self.on_set_state_helper(event=None)
584
585	def on_set_state_helper(self, event=None):
586	"""
587	Set_state_helper. This actually sets state
588	after plotting data from state file.
589
590	: event: FitStateUpdateEvent called
591	by dataloader.plot_data from guiframe
592	"""
593	if len(self.temp_state) == 0:
594	if self.state_index == 0 and len(self.mypanels) <= 0 \
595	and self.sfile_ext == '.svs':
596	self.temp_state = []
597	self.state_index = 0
598	return
599
600	try:
601	# Load fitting state
602	state = self.temp_state[self.state_index]
603	#panel state should have model selection to set_state
604	if state.formfactorcombobox != None:
605	#set state
606	data = self.parent.create_gui_data(state.data)
607	data.group_id = state.data.group_id
608	self.parent.add_data(data_list={data.id: data})
609	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
610	title=data.title))
611	#need to be fix later make sure we are sendind guiframe.data
612	#to panel
613	state.data = data
614	page = self.fit_panel.set_state(state)
615	else:
616	#just set data because set_state won't work
617	data = self.parent.create_gui_data(state.data)
618	data.group_id = state.data.group_id
619	self.parent.add_data(data_list={data.id: data})
620	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
621	title=data.title))
622	page = self.add_fit_page([data])
623	caption = page.window_caption
624	self.store_data(uid=page.uid, data_list=page.get_data_list(),
625	caption=caption)
626	self.mypanels.append(page)
627
628	# get ready for the next set_state
629	self.state_index += 1
630
631	#reset state variables to default when all set_state is finished.
632	if len(self.temp_state) == self.state_index:
633
634	self.temp_state = []
635	#self.state_index = 0
636	# Make sure the user sees the fitting panel after loading
637	#self.parent.set_perspective(self.perspective)
638	self.on_perspective(event=None)
639	except:
640	self.state_index = 0
641	self.temp_state = []
642	raise
643
644	def set_param2fit(self, uid, param2fit):
645	"""
646	Set the list of param names to fit for fitprobelm
647	"""
648	self.page_finder[uid].set_param2fit(param2fit)
649
650	def set_graph_id(self, uid, graph_id):
651	"""
652	Set graph_id for fitprobelm
653	"""
654	self.page_finder[uid].set_graph_id(graph_id)
655
656	def get_graph_id(self, uid):
657	"""
658	Set graph_id for fitprobelm
659	"""
660	return self.page_finder[uid].get_graph_id()
661
662	def save_fit_state(self, filepath, fitstate):
663	"""
664	save fit page state into file
665	"""
666	self.state_reader.write(filename=filepath, fitstate=fitstate)
667
668	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
669	"""
670	Set the fit weights of a given page for all
671	its data by default. If fid is provide then set the range
672	only for the data with fid as id
673	:param uid: id corresponding to a fit page
674	:param fid: id corresponding to a fit problem (data, model)
675	:param weight: current dy data
676	"""
677	if uid in self.page_finder.keys():
678	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
679
680	def set_fit_range(self, uid, qmin, qmax, fid=None):
681	"""
682	Set the fitting range of a given page for all
683	its data by default. If fid is provide then set the range
684	only for the data with fid as id
685	:param uid: id corresponding to a fit page
686	:param fid: id corresponding to a fit problem (data, model)
687	:param qmin: minimum value of the fit range
688	:param qmax: maximum value of the fit range
689	"""
690	if uid in self.page_finder.keys():
691	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
692
693	def schedule_for_fit(self, value=0, uid=None):
694	"""
695	Set the fit problem field to 0 or 1 to schedule that problem to fit.
696	Schedule the specified fitproblem or get the fit problem related to
697	the current page and set value.
698	:param value: integer 0 or 1
699	:param uid: the id related to a page contaning fitting information
700	"""
701	if uid in self.page_finder.keys():
702	self.page_finder[uid].schedule_tofit(value)
703
704	def get_page_finder(self):
705	"""
706	return self.page_finder used also by simfitpage.py
707	"""
708	return self.page_finder
709
710	def set_page_finder(self, modelname, names, values):
711	"""
712	Used by simfitpage.py to reset a parameter given the string constrainst.
713
714	:param modelname: the name ot the model for with the parameter
715	has to reset
716	:param value: can be a string in this case.
717	:param names: the paramter name
718	"""
719	sim_page_id = self.sim_page.uid
720	for uid, value in self.page_finder.iteritems():
721	if uid != sim_page_id and uid != self.batch_page.uid:
722	list = value.get_model()
723	model = list[0]
724	if model.name == modelname:
725	value.set_model_param(names, values)
726	break
727
728	def split_string(self, item):
729	"""
730	receive a word containing dot and split it. used to split parameterset
731	name into model name and parameter name example: ::
732
733	paramaterset (item) = M1.A
734	Will return model_name = M1 , parameter name = A
735
736	"""
737	if item.find(".") >= 0:
738	param_names = re.split("\.", item)
739	model_name = param_names[0]
740	##Assume max len is 3; eg., M0.radius.width
741	if len(param_names) == 3:
742	param_name = param_names[1] + "." + param_names[2]
743	else:
744	param_name = param_names[1]
745	return model_name, param_name
746
747	def on_bumps_options(self, event=None):
748	from bumps.gui.fit_dialog import OpenFitOptions
749	OpenFitOptions()
750
751	def stop_fit(self, uid):
752	"""
753	Stop the fit engine
754	"""
755	if uid in self.fit_thread_list.keys():
756	calc_fit = self.fit_thread_list[uid]
757	if calc_fit is not None and calc_fit.isrunning():
758	calc_fit.stop()
759	msg = "Fit stop!"
760	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
761	del self.fit_thread_list[uid]
762	#set the fit button label of page when fit stop is trigger from
763	#simultaneous fit pane
764	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
765	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
766	if sim_flag or batch_flag:
767	for uid, value in self.page_finder.iteritems():
768	if value.get_scheduled() == 1:
769	if uid in self.fit_panel.opened_pages.keys():
770	panel = self.fit_panel.opened_pages[uid]
771	panel._on_fit_complete()
772
773	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
774	enable_smearer=False):
775	"""
776	Get a smear object and store it to a fit problem of fid as id. If proper
777	flag is enable , will plot the theory with smearing information.
778
779	:param smearer: smear object to allow smearing data of id fid
780	:param enable_smearer: Define whether or not all (data, model) contained
781	in the structure of id uid will be smeared before fitting.
782	:param qmin: the maximum value of the theory plotting range
783	:param qmax: the maximum value of the theory plotting range
784	:param draw: Determine if the theory needs to be plot
785	"""
786	if uid not in self.page_finder.keys():
787	return
788	self.page_finder[uid].enable_smearing(flag=enable_smearer)
789	self.page_finder[uid].set_smearer(smearer, fid=fid)
790	if draw:
791	## draw model 1D with smeared data
792	data = self.page_finder[uid].get_fit_data(fid=fid)
793	if data is None:
794	msg = "set_mearer requires at least data.\n"
795	msg += "Got data = %s .\n" % str(data)
796	return
797	#raise ValueError, msg
798	model = self.page_finder[uid].get_model(fid=fid)
799	if model is None:
800	return
801	enable1D = issubclass(data.__class__, Data1D)
802	enable2D = issubclass(data.__class__, Data2D)
803	## if user has already selected a model to plot
804	## redraw the model with data smeared
805	smear = self.page_finder[uid].get_smearer(fid=fid)
806
807	# compute weight for the current data
808	weight = self.page_finder[uid].get_weight(fid=fid)
809
810	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
811	enable1D=enable1D, enable2D=enable2D,
812	qmin=qmin, qmax=qmax, weight=weight)
813	self._mac_sleep(0.2)
814
815	def _mac_sleep(self, sec=0.2):
816	"""
817	Give sleep to MAC
818	"""
819	if ON_MAC:
820	time.sleep(sec)
821
822	def draw_model(self, model, page_id, data=None, smearer=None,
823	enable1D=True, enable2D=False,
824	state=None,
825	fid=None,
826	toggle_mode_on=False,
827	qmin=None, qmax=None,
828	update_chisqr=True, weight=None, source='model'):
829	"""
830	Draw model.
831
832	:param model: the model to draw
833	:param name: the name of the model to draw
834	:param data: the data on which the model is based to be drawn
835	:param description: model's description
836	:param enable1D: if true enable drawing model 1D
837	:param enable2D: if true enable drawing model 2D
838	:param qmin: Range's minimum value to draw model
839	:param qmax: Range's maximum value to draw model
840	:param qstep: number of step to divide the x and y-axis
841	:param update_chisqr: update chisqr [bool]
842
843	"""
844	#self.weight = weight
845	if issubclass(data.__class__, Data1D) or not enable2D:
846	## draw model 1D with no loaded data
847	self._draw_model1D(model=model,
848	data=data,
849	page_id=page_id,
850	enable1D=enable1D,
851	smearer=smearer,
852	qmin=qmin,
853	qmax=qmax,
854	fid=fid,
855	weight=weight,
856	toggle_mode_on=toggle_mode_on,
857	state=state,
858	update_chisqr=update_chisqr,
859	source=source)
860	else:
861	## draw model 2D with no initial data
862	self._draw_model2D(model=model,
863	page_id=page_id,
864	data=data,
865	enable2D=enable2D,
866	smearer=smearer,
867	qmin=qmin,
868	qmax=qmax,
869	fid=fid,
870	weight=weight,
871	state=state,
872	toggle_mode_on=toggle_mode_on,
873	update_chisqr=update_chisqr,
874	source=source)
875
876	def onFit(self, uid):
877	"""
878	Get series of data, model, associates parameters and range and send then
879	to series of fit engines. Fit data and model, display result to
880	corresponding panels.
881	:param uid: id related to the panel currently calling this fit function.
882	"""
883	if uid is None: raise RuntimeError("no page to fit") # Should never happen
884
885	sim_page_uid = getattr(self.sim_page, 'uid', None)
886	batch_page_uid = getattr(self.batch_page, 'uid', None)
887
888	if uid == sim_page_uid:
889	fit_type = 'simultaneous'
890	elif uid == batch_page_uid:
891	fit_type = 'combined_batch'
892	else:
893	fit_type = 'single'
894
895	fitter_list = []
896	sim_fitter = None
897	if fit_type == 'simultaneous':
898	#simulatanous fit only one engine need to be created
899	sim_fitter = Fit(self._fit_engine)
900	sim_fitter.fitter_id = self.sim_page.uid
901	fitter_list.append(sim_fitter)
902
903	self.current_pg = None
904	list_page_id = []
905	fit_id = 0
906	for page_id, page_info in self.page_finder.iteritems():
907	# For simulfit (uid give with None), do for-loop
908	# if uid is specified (singlefit), do it only on the page.
909	if page_id in (sim_page_uid, batch_page_uid): continue
910	if fit_type == "single" and page_id != uid: continue
911
912	try:
913	if page_info.get_scheduled() == 1:
914	page_info.nbr_residuals_computed = 0
915	page = self.fit_panel.get_page_by_id(page_id)
916	self.set_fit_weight(uid=page.uid,
917	flag=page.get_weight_flag(),
918	is2d=page._is_2D())
919	if not page.param_toFit:
920	msg = "No fitting parameters for %s" % page.window_caption
921	wx.PostEvent(page.parent.parent,
922	StatusEvent(status=msg, info="error",
923	type="stop"))
924	return False
925	if not page._update_paramv_on_fit():
926	msg = "Fitting range or parameter values are"
927	msg += " invalid in %s" % \
928	page.window_caption
929	wx.PostEvent(page.parent.parent,
930	StatusEvent(status=msg, info="error",
931	type="stop"))
932	return False
933
934	pars = [str(element[1]) for element in page.param_toFit]
935	fitproblem_list = page_info.values()
936	for fitproblem in fitproblem_list:
937	if sim_fitter is None:
938	fitter = Fit(self._fit_engine)
939	fitter.fitter_id = page_id
940	fitter_list.append(fitter)
941	else:
942	fitter = sim_fitter
943	self._add_problem_to_fit(fitproblem=fitproblem,
944	pars=pars,
945	fitter=fitter,
946	fit_id=fit_id)
947	fit_id += 1
948	list_page_id.append(page_id)
949	page_info.clear_model_param()
950	except KeyboardInterrupt:
951	msg = "Fitting terminated"
952	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
953	type="stop"))
954	return True
955	except:
956	msg = "Fitting error: %s" % str(sys.exc_value)
957	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
958	type="stop"))
959	return False
960	## If a thread is already started, stop it
961	#if self.calc_fit!= None and self.calc_fit.isrunning():
962	# self.calc_fit.stop()
963	msg = "Fitting is in progress..."
964	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
965
966	#Handler used for fit engine displayed message
967	handler = ConsoleUpdate(parent=self.parent,
968	manager=self,
969	improvement_delta=0.1)
970	self._mac_sleep(0.2)
971
972	# batch fit
973	batch_inputs = {}
974	batch_outputs = {}
975	if fit_type == "simultaneous":
976	page = self.sim_page
977	elif fit_type == "combined_batch":
978	page = self.batch_page
979	else:
980	page = self.fit_panel.get_page_by_id(uid)
981	if page.batch_on:
982	calc_fit = FitThread(handler=handler,
983	fn=fitter_list,
984	pars=pars,
985	batch_inputs=batch_inputs,
986	batch_outputs=batch_outputs,
987	page_id=list_page_id,
988	completefn=self._batch_fit_complete,
989	reset_flag=self.batch_reset_flag)
990	else:
991	## Perform more than 1 fit at the time
992	calc_fit = FitThread(handler=handler,
993	fn=fitter_list,
994	batch_inputs=batch_inputs,
995	batch_outputs=batch_outputs,
996	page_id=list_page_id,
997	updatefn=handler.update_fit,
998	completefn=self._fit_completed)
999	#self.fit_thread_list[current_page_id] = calc_fit
1000	self.fit_thread_list[uid] = calc_fit
1001	calc_fit.queue()
1002	calc_fit.ready(2.5)
1003	msg = "Fitting is in progress..."
1004	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
1005
1006	return True
1007
1008	def remove_plot(self, uid, fid=None, theory=False):
1009	"""
1010	remove model plot when a fit page is closed
1011	:param uid: the id related to the fitpage to close
1012	:param fid: the id of the fitproblem(data, model, range,etc)
1013	"""
1014	if uid not in self.page_finder.keys():
1015	return
1016	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
1017	for fitproblem in fitproblemList:
1018	data = fitproblem.get_fit_data()
1019	model = fitproblem.get_model()
1020	plot_id = None
1021	if model is not None:
1022	plot_id = data.id + model.name
1023	if theory:
1024	plot_id = data.id + model.name
1025	group_id = data.group_id
1026	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
1027	group_id=group_id,
1028	action='remove'))
1029
1030	def store_data(self, uid, data_list=None, caption=None):
1031	"""
1032	Recieve a list of data and store them ans well as a caption of
1033	the fit page where they come from.
1034	:param uid: if related to a fit page
1035	:param data_list: list of data to fit
1036	:param caption: caption of the window related to these data
1037	"""
1038	if data_list is None:
1039	data_list = []
1040
1041	self.page_finder[uid].set_fit_data(data=data_list)
1042	if caption is not None:
1043	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1044
1045	def on_add_new_page(self, event=None):
1046	"""
1047	ask fit panel to create a new empty page
1048	"""
1049	try:
1050	page = self.fit_panel.add_empty_page()
1051	# add data associated to the page created
1052	if page != None:
1053	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
1054	info="info"))
1055	else:
1056	msg = "Page was already Created"
1057	wx.PostEvent(self.parent, StatusEvent(status=msg,
1058	info="warning"))
1059	except:
1060	msg = "Creating Fit page: %s" % sys.exc_value
1061	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
1062
1063	def add_fit_page(self, data):
1064	"""
1065	given a data, ask to the fitting panel to create a new fitting page,
1066	get this page and store it into the page_finder of this plug-in
1067	:param data: is a list of data
1068	"""
1069	page = self.fit_panel.set_data(data)
1070	# page could be None when loading state files
1071	if page == None:
1072	return page
1073	#append Data1D to the panel containing its theory
1074	#if theory already plotted
1075	if page.uid in self.page_finder:
1076	data = page.get_data()
1077	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
1078	if issubclass(data.__class__, Data2D):
1079	data.group_id = wx.NewId()
1080	if theory_data is not None:
1081	group_id = str(page.uid) + " Model1D"
1082	wx.PostEvent(self.parent,
1083	NewPlotEvent(group_id=group_id,
1084	action="delete"))
1085	self.parent.update_data(prev_data=theory_data,
1086	new_data=data)
1087	else:
1088	if theory_data is not None:
1089	group_id = str(page.uid) + " Model2D"
1090	data.group_id = theory_data.group_id
1091	wx.PostEvent(self.parent,
1092	NewPlotEvent(group_id=group_id,
1093	action="delete"))
1094	self.parent.update_data(prev_data=theory_data,
1095	new_data=data)
1096	self.store_data(uid=page.uid, data_list=page.get_data_list(),
1097	caption=page.window_caption)
1098	if self.sim_page is not None and not self.batch_on:
1099	self.sim_page.draw_page()
1100	if self.batch_page is not None and self.batch_on:
1101	self.batch_page.draw_page()
1102
1103	return page
1104
1105	def _onEVT_SLICER_PANEL(self, event):
1106	"""
1107	receive and event telling to update a panel with a name starting with
1108	event.panel_name. this method update slicer panel
1109	for a given interactor.
1110
1111	:param event: contains type of slicer , paramaters for updating
1112	the panel and panel_name to find the slicer 's panel concerned.
1113	"""
1114	event.panel_name
1115	for item in self.parent.panels:
1116	name = event.panel_name
1117	if self.parent.panels[item].window_caption.startswith(name):
1118	self.parent.panels[item].set_slicer(event.type, event.params)
1119
1120	#self.parent._mgr.Update()
1121
1122	def _closed_fitpage(self, event):
1123	"""
1124	request fitpanel to close a given page when its unique data is removed
1125	from the plot. close fitpage only when the a loaded data is removed
1126	"""
1127	if event is None or event.data is None:
1128	return
1129	if hasattr(event.data, "is_data"):
1130	if not event.data.is_data or \
1131	event.data.__class__.__name__ == "Data1D":
1132	self.fit_panel.close_page_with_data(event.data)
1133
1134	def _reset_schedule_problem(self, value=0, uid=None):
1135	"""
1136	unschedule or schedule all fitproblem to be fit
1137	"""
1138	# case that uid is not specified
1139	if uid == None:
1140	for page_id in self.page_finder.keys():
1141	self.page_finder[page_id].schedule_tofit(value)
1142	# when uid is given
1143	else:
1144	if uid in self.page_finder.keys():
1145	self.page_finder[uid].schedule_tofit(value)
1146
1147	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
1148	"""
1149	Create and set fit engine with series of data and model
1150	:param pars: list of fittable parameters
1151	:param fitter_list: list of fit engine
1152	:param value: structure storing data mapped to their model, range etc.
1153	"""
1154	data = fitproblem.get_fit_data()
1155	model = fitproblem.get_model()
1156	smearer = fitproblem.get_smearer()
1157	qmin, qmax = fitproblem.get_range()
1158
1159	#Extra list of parameters and their constraints
1160	listOfConstraint = []
1161	param = fitproblem.get_model_param()
1162	if len(param) > 0:
1163	for item in param:
1164	## check if constraint
1165	if item[0] != None and item[1] != None:
1166	listOfConstraint.append((item[0], item[1]))
1167	new_model = model
1168	fitter.set_model(new_model, fit_id, pars, data=data,
1169	constraints=listOfConstraint)
1170	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
1171	qmax=qmax)
1172	fitter.select_problem_for_fit(id=fit_id, value=1)
1173
1174	def _onSelect(self, event):
1175	"""
1176	when Select data to fit a new page is created .Its reference is
1177	added to self.page_finder
1178	"""
1179	panel = self.plot_panel
1180	if panel == None:
1181	raise ValueError, "Fitting:_onSelect: NonType panel"
1182	Plugin.on_perspective(self, event=event)
1183	self.select_data(panel)
1184
1185	def select_data(self, panel):
1186	"""
1187	"""
1188	for plottable in panel.graph.plottables:
1189	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
1190	data_id = panel.graph.selected_plottable
1191	if plottable == panel.plots[data_id]:
1192	data = plottable
1193	self.add_fit_page(data=[data])
1194	return
1195	else:
1196	data = plottable
1197	self.add_fit_page(data=[data])
1198
1199	def update_fit(self, result=None, msg=""):
1200	"""
1201	"""
1202	print "update_fit result", result
1203
1204	def _batch_fit_complete(self, result, pars, page_id,
1205	batch_outputs, batch_inputs, elapsed=None):
1206	"""
1207	Display fit result in batch
1208	:param result: list of objects received fromt fit engines
1209	:param pars: list of fitted parameters names
1210	:param page_id: list of page ids which called fit function
1211	:param elapsed: time spent at the fitting level
1212	"""
1213	self._mac_sleep(0.2)
1214	uid = page_id[0]
1215	if uid in self.fit_thread_list.keys():
1216	del self.fit_thread_list[uid]
1217
1218	self._update_fit_button(page_id)
1219	t1 = time.time()
1220	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1221	msg = "Fit completed on %s \n" % str_time
1222	msg += "Duration time: %s s.\n" % str(elapsed)
1223	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
1224	type="stop"))
1225
1226	if batch_outputs is None:
1227	batch_outputs = {}
1228
1229	# format batch_outputs
1230	batch_outputs["Chi2"] = []
1231	#Don't like these loops
1232	# Need to create dictionary of all fitted parameters
1233	# since the number of parameters can differ between each fit result
1234	for list_res in result:
1235	for res in list_res:
1236	model, data = res.inputs[0]
1237	if model is not None and hasattr(model, "model"):
1238	model = model.model
1239	#get all fittable parameters of the current model
1240	for param in model.getParamList():
1241	if param not in batch_outputs.keys():
1242	batch_outputs[param] = []
1243	for param in model.getDispParamList():
1244	if not model.is_fittable(param) and \
1245	param in batch_outputs.keys():
1246	del batch_outputs[param]
1247	# Add fitted parameters and their error
1248	for param in res.param_list:
1249	if param not in batch_outputs.keys():
1250	batch_outputs[param] = []
1251	err_param = "error on %s" % str(param)
1252	if err_param not in batch_inputs.keys():
1253	batch_inputs[err_param] = []
1254	msg = ""
1255	for list_res in result:
1256	for res in list_res:
1257	pid = res.fitter_id
1258	model, data = res.inputs[0]
1259	correct_result = False
1260	if model is not None and hasattr(model, "model"):
1261	model = model.model
1262	if data is not None and hasattr(data, "sas_data"):
1263	data = data.sas_data
1264
1265	is_data2d = issubclass(data.__class__, Data2D)
1266	#check consistency of arrays
1267	if not is_data2d:
1268	if len(res.theory) == len(res.index[res.index]) and \
1269	len(res.index) == len(data.y):
1270	correct_result = True
1271	else:
1272	copy_data = deepcopy(data)
1273	new_theory = copy_data.data
1274	new_theory[res.index] = res.theory
1275	new_theory[res.index == False] = numpy.nan
1276	correct_result = True
1277	#get all fittable parameters of the current model
1278	param_list = model.getParamList()
1279	for param in model.getDispParamList():
1280	if not model.is_fittable(param) and \
1281	param in param_list:
1282	param_list.remove(param)
1283	if not correct_result or res.fitness is None or \
1284	not numpy.isfinite(res.fitness) or \
1285	numpy.any(res.pvec == None) or not \
1286	numpy.all(numpy.isfinite(res.pvec)):
1287	data_name = str(None)
1288	if data is not None:
1289	data_name = str(data.name)
1290	model_name = str(None)
1291	if model is not None:
1292	model_name = str(model.name)
1293	msg += "Data %s and Model %s did not fit.\n" % (data_name,
1294	model_name)
1295	ERROR = numpy.NAN
1296	cell = BatchCell()
1297	cell.label = res.fitness
1298	cell.value = res.fitness
1299	batch_outputs["Chi2"].append(ERROR)
1300	for param in param_list:
1301	# save value of fixed parameters
1302	if param not in res.param_list:
1303	batch_outputs[str(param)].append(ERROR)
1304	else:
1305	#save only fitted values
1306	batch_outputs[param].append(ERROR)
1307	batch_inputs["error on %s" % str(param)].append(ERROR)
1308	else:
1309	# ToDo: Why sometimes res.pvec comes with numpy.float64?
1310	# Need to fix it within ScipyEngine
1311	if res.pvec.__class__ == numpy.float64:
1312	res.pvec = [res.pvec]
1313
1314	cell = BatchCell()
1315	cell.label = res.fitness
1316	cell.value = res.fitness
1317	batch_outputs["Chi2"].append(cell)
1318	# add parameters to batch_results
1319	for param in param_list:
1320	# save value of fixed parameters
1321	if param not in res.param_list:
1322	batch_outputs[str(param)].append(model.getParam(param))
1323	else:
1324	index = res.param_list.index(param)
1325	#save only fitted values
1326	batch_outputs[param].append(res.pvec[index])
1327	if res.stderr is not None and \
1328	len(res.stderr) == len(res.param_list):
1329	item = res.stderr[index]
1330	batch_inputs["error on %s" % param].append(item)
1331	else:
1332	batch_inputs["error on %s" % param].append('-')
1333	model.setParam(param, res.pvec[index])
1334	#fill the batch result with emtpy value if not in the current
1335	#model
1336	EMPTY = "-"
1337	for key in batch_outputs.keys():
1338	if key not in param_list and key not in ["Chi2", "Data"]:
1339	batch_outputs[key].append(EMPTY)
1340
1341	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
1342	batch_outputs=batch_outputs)
1343
1344	cpage = self.fit_panel.get_page_by_id(pid)
1345	cpage._on_fit_complete()
1346	self.page_finder[pid][data.id].set_result(res)
1347	fitproblem = self.page_finder[pid][data.id]
1348	qmin, qmax = fitproblem.get_range()
1349	plot_result = False
1350	if correct_result:
1351	if not is_data2d:
1352	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
1353	elapsed=None,
1354	index=res.index, model=model,
1355	weight=None, fid=data.id,
1356	toggle_mode_on=False, state=None,
1357	data=data, update_chisqr=False,
1358	source='fit', plot_result=plot_result)
1359	else:
1360	self._complete2D(image=new_theory, data=data,
1361	model=model,
1362	page_id=pid, elapsed=None,
1363	index=res.index,
1364	qmin=qmin,
1365	qmax=qmax, fid=data.id, weight=None,
1366	toggle_mode_on=False, state=None,
1367	update_chisqr=False,
1368	source='fit', plot_result=plot_result)
1369	self.on_set_batch_result(page_id=pid,
1370	fid=data.id,
1371	batch_outputs=batch_outputs,
1372	batch_inputs=batch_inputs)
1373
1374	wx.PostEvent(self.parent, StatusEvent(status=msg, error="info",
1375	type="stop"))
1376	# Remove parameters that are not shown
1377	cpage = self.fit_panel.get_page_by_id(uid)
1378	tbatch_outputs = {}
1379	shownkeystr = cpage.get_copy_params()
1380	for key in batch_outputs.keys():
1381	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
1382	tbatch_outputs[key] = batch_outputs[key]
1383
1384	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
1385	batch_inputs, self.sub_menu)
1386
1387	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
1388	"""
1389	"""
1390	pid = page_id
1391	if fid not in self.page_finder[pid]:
1392	return
1393	fitproblem = self.page_finder[pid][fid]
1394	index = self.page_finder[pid].nbr_residuals_computed - 1
1395	residuals = fitproblem.get_residuals()
1396	theory_data = fitproblem.get_theory_data()
1397	data = fitproblem.get_fit_data()
1398	model = fitproblem.get_model()
1399	#fill batch result information
1400	if "Data" not in batch_outputs.keys():
1401	batch_outputs["Data"] = []
1402	from sas.guiframe.data_processor import BatchCell
1403	cell = BatchCell()
1404	cell.label = data.name
1405	cell.value = index
1406
1407	if theory_data != None:
1408	#Suucessful fit
1409	theory_data.id = wx.NewId()
1410	theory_data.name = model.name + "[%s]" % str(data.name)
1411	if issubclass(theory_data.__class__, Data2D):
1412	group_id = wx.NewId()
1413	theory_data.group_id = group_id
1414	if group_id not in theory_data.list_group_id:
1415	theory_data.list_group_id.append(group_id)
1416
1417	try:
1418	# associate residuals plot
1419	if issubclass(residuals.__class__, Data2D):
1420	group_id = wx.NewId()
1421	residuals.group_id = group_id
1422	if group_id not in residuals.list_group_id:
1423	residuals.list_group_id.append(group_id)
1424	batch_outputs["Chi2"][index].object = [residuals]
1425	except:
1426	pass
1427
1428	cell.object = [data, theory_data]
1429	batch_outputs["Data"].append(cell)
1430	for key, value in data.meta_data.iteritems():
1431	if key not in batch_inputs.keys():
1432	batch_inputs[key] = []
1433	#if key.lower().strip() != "loader":
1434	batch_inputs[key].append(value)
1435	param = "temperature"
1436	if hasattr(data.sample, param):
1437	if param not in batch_inputs.keys():
1438	batch_inputs[param] = []
1439	batch_inputs[param].append(data.sample.temperature)
1440
1441	def _fit_completed(self, result, page_id, batch_outputs,
1442	batch_inputs=None, pars=None, elapsed=None):
1443	"""
1444	Display result of the fit on related panel(s).
1445	:param result: list of object generated when fit ends
1446	:param pars: list of names of parameters fitted
1447	:param page_id: list of page ids which called fit function
1448	:param elapsed: time spent at the fitting level
1449	"""
1450	t1 = time.time()
1451	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1452	msg = "Fit completed on %s \n" % str_time
1453	msg += "Duration time: %s s.\n" % str(elapsed)
1454	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
1455	type="stop"))
1456	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
1457	self._update_fit_button(page_id)
1458	result = result[0]
1459	self.fit_thread_list = {}
1460	if page_id is None:
1461	page_id = []
1462	## fit more than 1 model at the same time
1463	self._mac_sleep(0.2)
1464	try:
1465	index = 0
1466	for uid in page_id:
1467	res = result[index]
1468	if res.fitness is None or \
1469	not numpy.isfinite(res.fitness) or \
1470	numpy.any(res.pvec == None) or \
1471	not numpy.all(numpy.isfinite(res.pvec)):
1472	msg = "Fitting did not converge!!!"
1473	wx.PostEvent(self.parent,
1474	StatusEvent(status=msg,
1475	info="warning",
1476	type="stop"))
1477	self._update_fit_button(page_id)
1478	else:
1479	#set the panel when fit result are float not list
1480	if res.pvec.__class__ == numpy.float64:
1481	pvec = [res.pvec]
1482	else:
1483	pvec = res.pvec
1484	if res.stderr.__class__ == numpy.float64:
1485	stderr = [res.stderr]
1486	else:
1487	stderr = res.stderr
1488	cpage = self.fit_panel.get_page_by_id(uid)
1489	# Make sure we got all results
1490	#(CallAfter is important to MAC)
1491	try:
1492	#if res != None:
1493	wx.CallAfter(cpage.onsetValues, res.fitness,
1494	res.param_list,
1495	pvec, stderr)
1496	index += 1
1497	wx.CallAfter(cpage._on_fit_complete)
1498	except KeyboardInterrupt:
1499	msg = "Singular point: Fitting Stoped."
1500	wx.PostEvent(self.parent, StatusEvent(status=msg,
1501	info="info",
1502	type="stop"))
1503	except:
1504	msg = "Singular point: Fitting Error occurred."
1505	wx.PostEvent(self.parent, StatusEvent(status=msg,
1506	info="error",
1507	type="stop"))
1508
1509	except:
1510	msg = "Fit completed but Following"
1511	msg += " warning occurred: %s" % sys.exc_value
1512	wx.PostEvent(self.parent, StatusEvent(status=msg, info="warning",
1513	type="stop"))
1514
1515	def _update_fit_button(self, page_id):
1516	"""
1517	Update Fit button when fit stopped
1518
1519	: parameter page_id: fitpage where the button is
1520	"""
1521	if page_id.__class__.__name__ != 'list':
1522	page_id = [page_id]
1523	for uid in page_id:
1524	page = self.fit_panel.get_page_by_id(uid)
1525	page._on_fit_complete()
1526
1527	def _on_show_panel(self, event):
1528	"""
1529	"""
1530	pass
1531
1532	def on_reset_batch_flag(self, event):
1533	"""
1534	Set batch_reset_flag
1535	"""
1536	event.Skip()
1537	if self.menu1 == None:
1538	return
1539	menu_item = self.menu1.FindItemById(self.id_reset_flag)
1540	flag = menu_item.IsChecked()
1541	if not flag:
1542	menu_item.Check(False)
1543	self.batch_reset_flag = True
1544	else:
1545	menu_item.Check(True)
1546	self.batch_reset_flag = False
1547
1548	## post a message to status bar
1549	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
1550	wx.PostEvent(self.parent,
1551	StatusEvent(status=msg))
1552
1553
1554	def _on_slicer_event(self, event):
1555	"""
1556	Receive a panel as event and send it to guiframe
1557
1558	:param event: event containing a panel
1559
1560	"""
1561	if event.panel is not None:
1562	new_panel = event.panel
1563	self.slicer_panels.append(event.panel)
1564	# Set group ID if available
1565	event_id = self.parent.popup_panel(event.panel)
1566	event.panel.uid = event_id
1567	self.mypanels.append(event.panel)
1568
1569	def _onclearslicer(self, event):
1570	"""
1571	Clear the boxslicer when close the panel associate with this slicer
1572	"""
1573	name = event.GetEventObject().frame.GetTitle()
1574	for panel in self.slicer_panels:
1575	if panel.window_caption == name:
1576
1577	for item in self.parent.panels:
1578	if hasattr(self.parent.panels[item], "uid"):
1579	if self.parent.panels[item].uid == panel.base.uid:
1580	self.parent.panels[item].onClearSlicer(event)
1581	#self.parent._mgr.Update()
1582	break
1583	break
1584
1585	def _on_model_panel(self, evt):
1586	"""
1587	react to model selection on any combo box or model menu.plot the model
1588
1589	:param evt: wx.combobox event
1590
1591	"""
1592	model = evt.model
1593	uid = evt.uid
1594	qmin = evt.qmin
1595	qmax = evt.qmax
1596	caption = evt.caption
1597	enable_smearer = evt.enable_smearer
1598	if model == None:
1599	return
1600	if uid not in self.page_finder.keys():
1601	return
1602	# save the name containing the data name with the appropriate model
1603	self.page_finder[uid].set_model(model)
1604	self.page_finder[uid].enable_smearing(enable_smearer)
1605	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1606	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1607	if self.sim_page is not None and not self.batch_on:
1608	self.sim_page.draw_page()
1609	if self.batch_page is not None and self.batch_on:
1610	self.batch_page.draw_page()
1611
1612	def _update1D(self, x, output):
1613	"""
1614	Update the output of plotting model 1D
1615	"""
1616	msg = "Plot updating ... "
1617	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
1618
1619	def _complete1D(self, x, y, page_id, elapsed, index, model,
1620	weight=None, fid=None,
1621	toggle_mode_on=False, state=None,
1622	data=None, update_chisqr=True,
1623	source='model', plot_result=True):
1624	"""
1625	Complete plotting 1D data
1626	"""
1627	try:
1628	numpy.nan_to_num(y)
1629
1630	new_plot = Data1D(x=x, y=y)
1631	new_plot.is_data = False
1632	new_plot.dy = numpy.zeros(len(y))
1633	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1634	_yaxis, _yunit = data.get_yaxis()
1635	_xaxis, _xunit = data.get_xaxis()
1636	new_plot.title = data.name
1637
1638	new_plot.group_id = data.group_id
1639	if new_plot.group_id == None:
1640	new_plot.group_id = data.group_id
1641	new_plot.id = str(page_id) + " " + data.name
1642	#if new_plot.id in self.color_dict:
1643	# new_plot.custom_color = self.color_dict[new_plot.id]
1644	#find if this theory was already plotted and replace that plot given
1645	#the same id
1646	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
1647
1648	if data.is_data:
1649	data_name = str(data.name)
1650	else:
1651	data_name = str(model.__class__.__name__)
1652
1653	new_plot.name = model.name + " [" + data_name + "]"
1654	new_plot.xaxis(_xaxis, _xunit)
1655	new_plot.yaxis(_yaxis, _yunit)
1656	self.page_finder[page_id].set_theory_data(data=new_plot,
1657	fid=data.id)
1658	self.parent.update_theory(data_id=data.id, theory=new_plot,
1659	state=state)
1660	current_pg = self.fit_panel.get_page_by_id(page_id)
1661	title = new_plot.title
1662	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1663	if not batch_on:
1664	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1665	title=str(title)))
1666	elif plot_result:
1667	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
1668	if data.id == top_data_id:
1669	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1670	title=str(title)))
1671	caption = current_pg.window_caption
1672	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
1673
1674	self.page_finder[page_id].set_theory_data(data=new_plot,
1675	fid=data.id)
1676	if toggle_mode_on:
1677	wx.PostEvent(self.parent,
1678	NewPlotEvent(group_id=str(page_id) + " Model2D",
1679	action="Hide"))
1680	else:
1681	if update_chisqr:
1682	wx.PostEvent(current_pg,
1683	Chi2UpdateEvent(output=self._cal_chisqr(
1684	data=data,
1685	fid=fid,
1686	weight=weight,
1687	page_id=page_id,
1688	index=index)))
1689	else:
1690	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1691	index=index, weight=weight)
1692
1693	msg = "Computation completed!"
1694	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1695	except:
1696	raise
1697
1698	def _update2D(self, output, time=None):
1699	"""
1700	Update the output of plotting model
1701	"""
1702	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1703	#updating ... ", type="update"))
1704	#self.ready_fit()
1705
1706	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1707	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
1708	update_chisqr=True, source='model', plot_result=True):
1709	"""
1710	Complete get the result of modelthread and create model 2D
1711	that can be plot.
1712	"""
1713	numpy.nan_to_num(image)
1714	new_plot = Data2D(image=image, err_image=data.err_data)
1715	new_plot.name = model.name + '2d'
1716	new_plot.title = "Analytical model 2D "
1717	new_plot.id = str(page_id) + " " + data.name
1718	new_plot.group_id = str(page_id) + " Model2D"
1719	new_plot.detector = data.detector
1720	new_plot.source = data.source
1721	new_plot.is_data = False
1722	new_plot.qx_data = data.qx_data
1723	new_plot.qy_data = data.qy_data
1724	new_plot.q_data = data.q_data
1725	new_plot.mask = data.mask
1726	## plot boundaries
1727	new_plot.ymin = data.ymin
1728	new_plot.ymax = data.ymax
1729	new_plot.xmin = data.xmin
1730	new_plot.xmax = data.xmax
1731	title = data.title
1732
1733	new_plot.is_data = False
1734	if data.is_data:
1735	data_name = str(data.name)
1736	else:
1737	data_name = str(model.__class__.__name__) + '2d'
1738
1739	if len(title) > 1:
1740	new_plot.title = "Model2D for %s " % model.name + data_name
1741	new_plot.name = model.name + " [" + \
1742	data_name + "]"
1743	theory_data = deepcopy(new_plot)
1744
1745	self.page_finder[page_id].set_theory_data(data=theory_data,
1746	fid=data.id)
1747	self.parent.update_theory(data_id=data.id,
1748	theory=new_plot,
1749	state=state)
1750	current_pg = self.fit_panel.get_page_by_id(page_id)
1751	title = new_plot.title
1752	if not source == 'fit' and plot_result:
1753	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1754	title=title))
1755	if toggle_mode_on:
1756	wx.PostEvent(self.parent,
1757	NewPlotEvent(group_id=str(page_id) + " Model1D",
1758	action="Hide"))
1759	else:
1760	# Chisqr in fitpage
1761	if update_chisqr:
1762	wx.PostEvent(current_pg,
1763	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1764	weight=weight,
1765	fid=fid,
1766	page_id=page_id,
1767	index=index)))
1768	else:
1769	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1770	index=index, weight=weight)
1771	msg = "Computation completed!"
1772	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1773
1774	def _draw_model2D(self, model, page_id, qmin,
1775	qmax,
1776	data=None, smearer=None,
1777	description=None, enable2D=False,
1778	state=None,
1779	fid=None,
1780	weight=None,
1781	toggle_mode_on=False,
1782	update_chisqr=True, source='model'):
1783	"""
1784	draw model in 2D
1785
1786	:param model: instance of the model to draw
1787	:param description: the description of the model
1788	:param enable2D: when True allows to draw model 2D
1789	:param qmin: the minimum value to draw model 2D
1790	:param qmax: the maximum value to draw model 2D
1791	:param qstep: the number of division of Qx and Qy of the model to draw
1792
1793	"""
1794	if not enable2D:
1795	return None
1796	try:
1797	from model_thread import Calc2D
1798	## If a thread is already started, stop it
1799	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1800	self.calc_2D.stop()
1801	## stop just raises a flag to tell the thread to kill
1802	## itself -- see the fix in Calc1D implemented to fix
1803	## an actual problem. Seems the fix should also go here
1804	## and may be the cause of other noted instabilities
1805	##
1806	## -PDB August 12, 2014
1807	while self.calc_2D.isrunning():
1808	time.sleep(0.1)
1809	self.calc_2D = Calc2D(model=model,
1810	data=data,
1811	page_id=page_id,
1812	smearer=smearer,
1813	qmin=qmin,
1814	qmax=qmax,
1815	weight=weight,
1816	fid=fid,
1817	toggle_mode_on=toggle_mode_on,
1818	state=state,
1819	completefn=self._complete2D,
1820	update_chisqr=update_chisqr, source=source)
1821	self.calc_2D.queue()
1822	except:
1823	raise
1824
1825	def _draw_model1D(self, model, page_id, data,
1826	qmin, qmax, smearer=None,
1827	state=None,
1828	weight=None,
1829	fid=None,
1830	toggle_mode_on=False, update_chisqr=True, source='model',
1831	enable1D=True):
1832	"""
1833	Draw model 1D from loaded data1D
1834
1835	:param data: loaded data
1836	:param model: the model to plot
1837
1838	"""
1839	if not enable1D:
1840	return
1841	try:
1842	from model_thread import Calc1D
1843	## If a thread is already started, stop it
1844	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1845	self.calc_1D.stop()
1846	## stop just raises the flag -- the thread is supposed to
1847	## then kill itself but cannot. Paul Kienzle came up with
1848	## this fix to prevent threads from stepping on each other
1849	## which was causing a simple custom model to crash Sasview.
1850	## We still don't know why the fit sometimes lauched a second
1851	## thread -- something which should also be investigated.
1852	## The thread approach was implemented in order to be able
1853	## to lauch a computation in a separate thread from the GUI so
1854	## that the GUI can still respond to user input including
1855	## a request to stop the computation.
1856	## It seems thus that the whole thread approach used here
1857	## May need rethinking
1858	##
1859	## -PDB August 12, 2014
1860	while self.calc_1D.isrunning():
1861	time.sleep(0.1)
1862	self.calc_1D = Calc1D(data=data,
1863	model=model,
1864	page_id=page_id,
1865	qmin=qmin,
1866	qmax=qmax,
1867	smearer=smearer,
1868	state=state,
1869	weight=weight,
1870	fid=fid,
1871	toggle_mode_on=toggle_mode_on,
1872	completefn=self._complete1D,
1873	#updatefn = self._update1D,
1874	update_chisqr=update_chisqr,
1875	source=source)
1876	self.calc_1D.queue()
1877	except:
1878	msg = " Error occurred when drawing %s Model 1D: " % model.name
1879	msg += " %s" % sys.exc_value
1880	wx.PostEvent(self.parent, StatusEvent(status=msg))
1881
1882	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
1883	"""
1884	Get handy Chisqr using the output from draw1D and 2D,
1885	instead of calling expansive CalcChisqr in guithread
1886	"""
1887	try:
1888	data_copy = deepcopy(data)
1889	except:
1890	return
1891	# default chisqr
1892	chisqr = None
1893	#to compute chisq make sure data has valid data
1894	# return None if data == None
1895	if not check_data_validity(data_copy) or data_copy == None:
1896	return chisqr
1897
1898	# Get data: data I, theory I, and data dI in order
1899	if data_copy.__class__.__name__ == "Data2D":
1900	if index == None:
1901	index = numpy.ones(len(data_copy.data), dtype=bool)
1902	if weight != None:
1903	data_copy.err_data = weight
1904	# get rid of zero error points
1905	index = index & (data_copy.err_data != 0)
1906	index = index & (numpy.isfinite(data_copy.data))
1907	fn = data_copy.data[index]
1908	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
1909	if theory_data == None:
1910	return chisqr
1911	gn = theory_data.data[index]
1912	en = data_copy.err_data[index]
1913	else:
1914	# 1 d theory from model_thread is only in the range of index
1915	if index == None:
1916	index = numpy.ones(len(data_copy.y), dtype=bool)
1917	if weight != None:
1918	data_copy.dy = weight
1919	if data_copy.dy == None or data_copy.dy == []:
1920	dy = numpy.ones(len(data_copy.y))
1921	else:
1922	## Set consitently w/AbstractFitengine:
1923	# But this should be corrected later.
1924	dy = deepcopy(data_copy.dy)
1925	dy[dy == 0] = 1
1926	fn = data_copy.y[index]
1927
1928	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
1929	if theory_data == None:
1930	return chisqr
1931	gn = theory_data.y
1932	en = dy[index]
1933
1934	# residual
1935	try:
1936	res = (fn - gn) / en
1937	except ValueError:
1938	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
1939	return
1940
1941	residuals = res[numpy.isfinite(res)]
1942	# get chisqr only w/finite
1943	chisqr = numpy.average(residuals * residuals)
1944
1945	self._plot_residuals(page_id=page_id, data=data_copy,
1946	fid=fid,
1947	weight=weight, index=index)
1948
1949	return chisqr
1950
1951	def _plot_residuals(self, page_id, weight, fid=None,
1952	data=None, index=None):
1953	"""
1954	Plot the residuals
1955
1956	:param data: data
1957	:param index: index array (bool)
1958	: Note: this is different from the residuals in cal_chisqr()
1959	"""
1960	data_copy = deepcopy(data)
1961	# Get data: data I, theory I, and data dI in order
1962	if data_copy.__class__.__name__ == "Data2D":
1963	# build residuals
1964	residuals = Data2D()
1965	#residuals.copy_from_datainfo(data)
1966	# Not for trunk the line below, instead use the line above
1967	data_copy.clone_without_data(len(data_copy.data), residuals)
1968	residuals.data = None
1969	fn = data_copy.data
1970	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
1971	gn = theory_data.data
1972	if weight == None:
1973	en = data_copy.err_data
1974	else:
1975	en = weight
1976	residuals.data = (fn - gn) / en
1977	residuals.qx_data = data_copy.qx_data
1978	residuals.qy_data = data_copy.qy_data
1979	residuals.q_data = data_copy.q_data
1980	residuals.err_data = numpy.ones(len(residuals.data))
1981	residuals.xmin = min(residuals.qx_data)
1982	residuals.xmax = max(residuals.qx_data)
1983	residuals.ymin = min(residuals.qy_data)
1984	residuals.ymax = max(residuals.qy_data)
1985	residuals.q_data = data_copy.q_data
1986	residuals.mask = data_copy.mask
1987	residuals.scale = 'linear'
1988	# check the lengths
1989	if len(residuals.data) != len(residuals.q_data):
1990	return
1991	else:
1992	# 1 d theory from model_thread is only in the range of index
1993	if data_copy.dy == None or data_copy.dy == []:
1994	dy = numpy.ones(len(data_copy.y))
1995	else:
1996	if weight == None:
1997	dy = numpy.ones(len(data_copy.y))
1998	## Set consitently w/AbstractFitengine:
1999	## But this should be corrected later.
2000	else:
2001	dy = weight
2002	dy[dy == 0] = 1
2003	fn = data_copy.y[index]
2004	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2005	gn = theory_data.y
2006	en = dy[index]
2007	# build residuals
2008	residuals = Data1D()
2009	try:
2010	residuals.y = (fn - gn) / en
2011	except:
2012	msg = "ResidualPlot Error: different # of data points in theory"
2013	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
2014	residuals.y = (fn - gn[index]) / en
2015	residuals.x = data_copy.x[index]
2016	residuals.dy = numpy.ones(len(residuals.y))
2017	residuals.dx = None
2018	residuals.dxl = None
2019	residuals.dxw = None
2020	residuals.ytransform = 'y'
2021	# For latter scale changes
2022	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
2023	residuals.yaxis('\\rm{Residuals} ', 'normalized')
2024	theory_name = str(theory_data.name.split()[0])
2025	new_plot = residuals
2026	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
2027	str(data.name) + "]"
2028	## allow to highlight data when plotted
2029	new_plot.interactive = True
2030	## when 2 data have the same id override the 1 st plotted
2031	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
2032	##group_id specify on which panel to plot this data
2033	group_id = self.page_finder[page_id].get_graph_id()
2034	if group_id == None:
2035	group_id = data.group_id
2036	new_plot.group_id = "res" + str(group_id)
2037	#new_plot.is_data = True
2038	##post data to plot
2039	title = new_plot.name
2040	self.page_finder[page_id].set_residuals(residuals=new_plot,
2041	fid=data.id)
2042	self.parent.update_theory(data_id=data.id, theory=new_plot)
2043	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
2044	if not batch_on:
2045	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/perspectives/fitting/fitting.py @ 60dca65c

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