fitting.py @ dcdca68

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 dcdca68 was 86b049b, checked in by butler, 9 years ago
Links the new help on the optimizer choice panel (fitting.py) This completes the help linking from all but the tools menus.
Property mode set to `100755`
File size: 84.6 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.sascalc.dataloader.loader import Loader
24	from sas.sasgui.guiframe.dataFitting import Data2D
25	from sas.sasgui.guiframe.dataFitting import Data1D
26	from sas.sasgui.guiframe.dataFitting import check_data_validity
27	from sas.sasgui.guiframe.events import NewPlotEvent
28	from sas.sasgui.guiframe.events import StatusEvent
29	from sas.sasgui.guiframe.events import EVT_SLICER_PANEL
30	from sas.sasgui.guiframe.events import EVT_SLICER_PARS_UPDATE
31	from sas.sasgui.guiframe.gui_style import GUIFRAME_ID
32	from sas.sasgui.guiframe.plugin_base import PluginBase
33	from sas.sasgui.guiframe.data_processor import BatchCell
34	from sas.sascalc.fit.BumpsFitting import BumpsFit as Fit
35	from sas.sasgui.perspectives.fitting.console import ConsoleUpdate
36	from sas.sasgui.perspectives.fitting.fitproblem import FitProblemDictionary
37	from sas.sasgui.perspectives.fitting.fitpanel import FitPanel
38	from sas.sasgui.perspectives.fitting.resultpanel import ResultPanel, PlotResultEvent
39
40	from sas.sasgui.perspectives.fitting.fit_thread import FitThread
41	from sas.sasgui.perspectives.fitting.pagestate import Reader
42	from sas.sasgui.perspectives.fitting.fitpage import Chi2UpdateEvent
43	from sas.sasgui.perspectives.calculator.model_editor import TextDialog
44	from sas.sasgui.perspectives.calculator.model_editor import EditorWindow
45	from sas.sasgui.guiframe.gui_manager import MDIFrame
46	from sas.sasgui.guiframe.documentation_window import DocumentationWindow
47
48	MAX_NBR_DATA = 4
49
50	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
51
52
53	if sys.platform == "win32":
54	ON_MAC = False
55	else:
56	ON_MAC = True
57
58
59
60	class Plugin(PluginBase):
61	"""
62	Fitting plugin is used to perform fit
63	"""
64	def __init__(self):
65	PluginBase.__init__(self, name="Fitting")
66
67	#list of panel to send to guiframe
68	self.mypanels = []
69	# reference to the current running thread
70	self.calc_2D = None
71	self.calc_1D = None
72
73	self.color_dict = {}
74
75	self.fit_thread_list = {}
76	self.residuals = None
77	self.weight = None
78	self.fit_panel = None
79	self.plot_panel = None
80	# Start with a good default
81	self.elapsed = 0.022
82	self.fit_panel = None
83	## dictionary of page closed and id
84	self.closed_page_dict = {}
85	## Relative error desired in the sum of squares (float)
86	self.batch_reset_flag = True
87	#List of selected data
88	self.selected_data_list = []
89	## list of slicer panel created to display slicer parameters and results
90	self.slicer_panels = []
91	# model 2D view
92	self.model2D_id = None
93	#keep reference of the simultaneous fit page
94	self.sim_page = None
95	self.sim_menu = None
96	self.batch_page = None
97	self.batch_menu = None
98	self.index_model = 0
99	self.test_model_color = None
100	#Create a reader for fit page's state
101	self.state_reader = None
102	self._extensions = '.fitv'
103	self.menu1 = None
104	self.new_model_frame = None
105
106	self.temp_state = []
107	self.state_index = 0
108	self.sfile_ext = None
109	# take care of saving data, model and page associated with each other
110	self.page_finder = {}
111	# Log startup
112	logging.info("Fitting plug-in started")
113	self.batch_capable = self.get_batch_capable()
114
115	def get_batch_capable(self):
116	"""
117	Check if the plugin has a batch capability
118	"""
119	return True
120
121	def create_fit_problem(self, page_id):
122	"""
123	Given an ID create a fitproblem container
124	"""
125	self.page_finder[page_id] = FitProblemDictionary()
126
127	def delete_fit_problem(self, page_id):
128	"""
129	Given an ID create a fitproblem container
130	"""
131	if page_id in self.page_finder.iterkeys():
132	del self.page_finder[page_id]
133
134	def add_color(self, color, id):
135	"""
136	adds a color as a key with a plot id as its value to a dictionary
137	"""
138	self.color_dict[id] = color
139
140	def on_batch_selection(self, flag):
141	"""
142	switch the the notebook of batch mode or not
143	"""
144	self.batch_on = flag
145	if self.fit_panel is not None:
146	self.fit_panel.batch_on = self.batch_on
147
148	def populate_menu(self, owner):
149	"""
150	Create a menu for the Fitting plug-in
151
152	:param id: id to create a menu
153	:param owner: owner of menu
154
155	:return: list of information to populate the main menu
156
157	"""
158	#Menu for fitting
159	self.menu1 = wx.Menu()
160	id1 = wx.NewId()
161	simul_help = "Add new fit panel"
162	self.menu1.Append(id1, '&New Fit Page', simul_help)
163	wx.EVT_MENU(owner, id1, self.on_add_new_page)
164	self.menu1.AppendSeparator()
165	self.id_simfit = wx.NewId()
166	simul_help = "Constrained or Simultaneous Fit"
167	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
168	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
169	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
170	self.sim_menu.Enable(False)
171	#combined Batch
172	self.id_batchfit = wx.NewId()
173	batch_help = "Combined Batch"
174	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
175	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
176	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
177	self.batch_menu.Enable(False)
178
179	self.menu1.AppendSeparator()
180	self.id_bumps_options = wx.NewId()
181	bopts_help = "Fitting options"
182	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
183	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
184	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
185	self.bumps_options_menu.Enable(True)
186
187	self.id_result_panel = wx.NewId()
188	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
189	wx.EVT_MENU(owner, self.id_result_panel, self.on_fit_results)
190	self.menu1.AppendSeparator()
191
192	self.id_reset_flag = wx.NewId()
193	resetf_help = "BatchFit: If checked, the initial param values will be "
194	resetf_help += "propagated from the previous results. "
195	resetf_help += "Otherwise, the same initial param values will be used "
196	resetf_help += "for all fittings."
197	self.menu1.AppendCheckItem(self.id_reset_flag,
198	"Chain Fitting [BatchFit Only]",
199	resetf_help)
200	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
201	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
202	chain_menu.Check(not self.batch_reset_flag)
203	chain_menu.Enable(self.batch_on)
204
205	self.menu1.AppendSeparator()
206	self.edit_model_menu = wx.Menu()
207	# Find and put files name in menu
208	try:
209	self.set_edit_menu(owner=owner)
210	except:
211	raise
212
213	self.id_edit = wx.NewId()
214	editmodel_help = "Edit customized model sample file"
215	self.menu1.AppendMenu(self.id_edit, "Edit Custom Model",
216	self.edit_model_menu, editmodel_help)
217	#create menubar items
218	return [(self.menu1, self.sub_menu)]
219
220	def edit_custom_model(self, event):
221	"""
222	Get the python editor panel
223	"""
224	event_id = event.GetId()
225	label = self.edit_menu.GetLabel(event_id)
226	from sas.sasgui.perspectives.calculator.pyconsole import PyConsole
227	filename = os.path.join(models.find_plugins_dir(), label)
228	frame = PyConsole(parent=self.parent, manager=self,
229	panel=self.fit_panel,
230	title='Advanced Custom Model Editor',
231	filename=filename)
232	self.put_icon(frame)
233	frame.Show(True)
234
235	def delete_custom_model(self, event):
236	"""
237	Delete custom model file
238	"""
239	event_id = event.GetId()
240	label = self.delete_menu.GetLabel(event_id)
241	toks = os.path.splitext(label)
242	path = os.path.join(models.find_plugins_dir(), toks[0])
243	try:
244	for ext in ['.py', '.pyc']:
245	p_path = path + ext
246	os.remove(p_path)
247	self.update_custom_combo()
248	if os.path.isfile(p_path):
249	msg = "Sorry! Could not be able to delete the default "
250	msg += "custom model... \n"
251	msg += "Please manually remove the files (.py, .pyc) "
252	msg += "in the 'plugin_models' folder \n"
253	msg += "inside of the SasView application, "
254	msg += "and try it again."
255	wx.MessageBox(msg, 'Info')
256	#wx.PostEvent(self.parent, StatusEvent(status=msg, type='stop',
257	# info='warning'))
258	else:
259	self.delete_menu.Delete(event_id)
260	for item in self.edit_menu.GetMenuItems():
261	if item.GetLabel() == label:
262	self.edit_menu.DeleteItem(item)
263	msg = "The custom model, %s, has been deleted." % label
264	wx.PostEvent(self.parent, StatusEvent(status=msg,
265	type='stop', info='info'))
266	break
267	except:
268	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
269	wx.MessageBox(msg, 'Error')
270
271	def make_sum_model(self, event):
272	"""
273	Edit summodel template and make one
274	"""
275	event_id = event.GetId()
276	model_manager = models.ModelManager()
277	model_list = model_manager.get_model_name_list()
278	plug_dir = models.find_plugins_dir()
279	textdial = TextDialog(None, self, wx.ID_ANY, 'Easy Sum/Multi(p1, p2) Editor',
280	model_list, plug_dir)
281	self.put_icon(textdial)
282	textdial.ShowModal()
283	textdial.Destroy()
284
285	def make_new_model(self, event):
286	"""
287	Make new model
288	"""
289	if self.new_model_frame != None:
290	self.new_model_frame.Show(False)
291	self.new_model_frame.Show(True)
292	else:
293	event_id = event.GetId()
294	dir_path = models.find_plugins_dir()
295	title = "New Custom Model Function"
296	self.new_model_frame = EditorWindow(parent=self, base=self,
297	path=dir_path, title=title)
298	self.put_icon(self.new_model_frame)
299	self.new_model_frame.Show(True)
300
301	def load_plugin_models(self, event):
302	"""
303	Update of models in plugin_models folder
304	"""
305	event_id = event.GetId()
306	self.update_custom_combo()
307
308	def update_custom_combo(self):
309	"""
310	Update custom model list in the fitpage combo box
311	"""
312	custom_model = 'Customized Models'
313	try:
314	# Update edit menus
315	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
316	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
317	temp = self.fit_panel.reset_pmodel_list()
318	if temp:
319	# Set the new custom model list for all fit pages
320	for uid, page in self.fit_panel.opened_pages.iteritems():
321	if hasattr(page, "formfactorbox"):
322	page.model_list_box = temp
323	current_val = page.formfactorbox.GetLabel()
324	#if page.plugin_rbutton.GetValue():
325	mod_cat = page.categorybox.GetStringSelection()
326	if mod_cat == custom_model:
327	#pos = page.formfactorbox.GetSelection()
328	page._show_combox_helper()
329	new_val = page.formfactorbox.GetLabel()
330	if current_val != new_val and new_val != '':
331	page.formfactorbox.SetLabel(new_val)
332	else:
333	page.formfactorbox.SetLabel(current_val)
334	except:
335	pass
336
337
338	def set_edit_menu(self, owner):
339	"""
340	Set list of the edit model menu labels
341	"""
342	wx_id = wx.NewId()
343	#new_model_menu = wx.Menu()
344	self.edit_model_menu.Append(wx_id, 'New',
345	'Add a new model function')
346	wx.EVT_MENU(owner, wx_id, self.make_new_model)
347
348	wx_id = wx.NewId()
349	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
350	'Sum of two model functions')
351	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
352
353	e_id = wx.NewId()
354	self.edit_menu = wx.Menu()
355	self.edit_model_menu.AppendMenu(e_id,
356	'Advanced', self.edit_menu)
357	self.set_edit_menu_helper(owner, self.edit_custom_model)
358
359	d_id = wx.NewId()
360	self.delete_menu = wx.Menu()
361	self.edit_model_menu.AppendMenu(d_id,
362	'Delete', self.delete_menu)
363	self.set_edit_menu_helper(owner, self.delete_custom_model)
364
365	wx_id = wx.NewId()
366	self.edit_model_menu.Append(wx_id, 'Load Models',
367	'(Re)Load all models present in user plugin_models folder')
368	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
369
370	def set_edit_menu_helper(self, owner=None, menu=None):
371	"""
372	help for setting list of the edit model menu labels
373	"""
374	if menu == None:
375	menu = self.edit_custom_model
376	list_fnames = os.listdir(models.find_plugins_dir())
377	list_fnames.sort()
378	for f_item in list_fnames:
379	name = os.path.basename(f_item)
380	toks = os.path.splitext(name)
381	if toks[-1] == '.py' and not toks[0] == '__init__':
382	if menu == self.edit_custom_model:
383	if toks[0] == 'easy_sum_of_p1_p2':
384	continue
385	submenu = self.edit_menu
386	else:
387	submenu = self.delete_menu
388	has_file = False
389	for item in submenu.GetMenuItems():
390	if name == submenu.GetLabel(item.GetId()):
391	has_file = True
392	if not has_file:
393	wx_id = wx.NewId()
394	submenu.Append(wx_id, name)
395	wx.EVT_MENU(owner, wx_id, menu)
396	has_file = False
397
398	def put_icon(self, frame):
399	"""
400	Put icon in the frame title bar
401	"""
402	if hasattr(frame, "IsIconized"):
403	if not frame.IsIconized():
404	try:
405	icon = self.parent.GetIcon()
406	frame.SetIcon(icon)
407	except:
408	pass
409
410	def on_add_sim_page(self, event):
411	"""
412	Create a page to access simultaneous fit option
413	"""
414	event_id = event.GetId()
415	caption = "Const & Simul Fit"
416	page = self.sim_page
417	if event_id == self.id_batchfit:
418	caption = "Combined Batch"
419	page = self.batch_page
420
421	def set_focus_page(page):
422	page.Show(True)
423	page.Refresh()
424	page.SetFocus()
425	#self.parent._mgr.Update()
426	msg = "%s already opened\n" % str(page.window_caption)
427	wx.PostEvent(self.parent, StatusEvent(status=msg))
428
429	if page != None:
430	return set_focus_page(page)
431	if caption == "Const & Simul Fit":
432	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
433	else:
434	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
435
436	def get_context_menu(self, plotpanel=None):
437	"""
438	Get the context menu items available for P(r).them allow fitting option
439	for Data2D and Data1D only.
440
441	:param graph: the Graph object to which we attach the context menu
442
443	:return: a list of menu items with call-back function
444
445	:note: if Data1D was generated from Theory1D
446	the fitting option is not allowed
447
448	"""
449	self.plot_panel = plotpanel
450	graph = plotpanel.graph
451	fit_option = "Select data for fitting"
452	fit_hint = "Dialog with fitting parameters "
453
454	if graph.selected_plottable not in plotpanel.plots:
455	return []
456	item = plotpanel.plots[graph.selected_plottable]
457	if item.__class__.__name__ is "Data2D":
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	else:
465
466	# if is_data is true , this in an actual data loaded
467	#else it is a data created from a theory model
468	if hasattr(item, "is_data"):
469	if item.is_data:
470	return [[fit_option, fit_hint, self._onSelect]]
471	else:
472	return []
473	return [[fit_option, fit_hint, self._onSelect]]
474	return []
475
476	def get_panels(self, parent):
477	"""
478	Create and return a list of panel objects
479	"""
480	self.parent = parent
481	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
482	# Creation of the fit panel
483	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
484	self.fit_panel = FitPanel(parent=self.frame, manager=self)
485	self.frame.set_panel(self.fit_panel)
486	self._frame_set_helper()
487	self.on_add_new_page(event=None)
488	#Set the manager for the main panel
489	self.fit_panel.set_manager(self)
490	# List of windows used for the perspective
491	self.perspective = []
492	self.perspective.append(self.fit_panel.window_name)
493
494	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
495	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
496	self.perspective.append(self.result_panel.window_name)
497
498	#index number to create random model name
499	self.index_model = 0
500	self.index_theory = 0
501	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
502	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
503	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
504	#Create reader when fitting panel are created
505	self.state_reader = Reader(self.set_state)
506	#append that reader to list of available reader
507	loader = Loader()
508	loader.associate_file_reader(".fitv", self.state_reader)
509	#Send the fitting panel to guiframe
510	self.mypanels.append(self.fit_panel)
511	self.mypanels.append(self.result_panel)
512	return self.mypanels
513
514	def clear_panel(self):
515	"""
516	"""
517	self.fit_panel.clear_panel()
518
519	def delete_data(self, data):
520	"""
521	delete the given data from panel
522	"""
523	self.fit_panel.delete_data(data)
524
525	def set_data(self, data_list=None):
526	"""
527	receive a list of data to fit
528	"""
529	if data_list is None:
530	data_list = []
531	selected_data_list = []
532	if self.batch_on:
533	self.add_fit_page(data=data_list)
534	else:
535	if len(data_list) > MAX_NBR_DATA:
536	from fitting_widgets import DataDialog
537	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
538	if dlg.ShowModal() == wx.ID_OK:
539	selected_data_list = dlg.get_data()
540	dlg.Destroy()
541
542	else:
543	selected_data_list = data_list
544	try:
545	group_id = wx.NewId()
546	for data in selected_data_list:
547	if data is not None:
548	# 2D has no same group_id
549	if data.__class__.__name__ == 'Data2D':
550	group_id = wx.NewId()
551	data.group_id = group_id
552	if group_id not in data.list_group_id:
553	data.list_group_id.append(group_id)
554	self.add_fit_page(data=[data])
555	except:
556	msg = "Fitting set_data: " + str(sys.exc_value)
557	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
558
559	def set_theory(self, theory_list=None):
560	"""
561	"""
562	#set the model state for a given theory_state:
563	for item in theory_list:
564	try:
565	_, theory_state = item
566	self.fit_panel.set_model_state(theory_state)
567	except:
568	msg = "Fitting: cannot deal with the theory received"
569	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
570	wx.PostEvent(self.parent,
571	StatusEvent(status=msg, info="error"))
572
573	def set_state(self, state=None, datainfo=None, format=None):
574	"""
575	Call-back method for the fit page state reader.
576	This method is called when a .fitv/.svs file is loaded.
577
578	: param state: PageState object
579	: param datainfo: data
580	"""
581	#state = self.state_reader.get_state()
582	if state != None:
583	state = state.clone()
584	# store fitting state in temp_state
585	self.temp_state.append(state)
586	else:
587	self.temp_state = []
588	# index to start with for a new set_state
589	self.state_index = 0
590	# state file format
591	self.sfile_ext = format
592
593	self.on_set_state_helper(event=None)
594
595	def on_set_state_helper(self, event=None):
596	"""
597	Set_state_helper. This actually sets state
598	after plotting data from state file.
599
600	: event: FitStateUpdateEvent called
601	by dataloader.plot_data from guiframe
602	"""
603	if len(self.temp_state) == 0:
604	if self.state_index == 0 and len(self.mypanels) <= 0 \
605	and self.sfile_ext == '.svs':
606	self.temp_state = []
607	self.state_index = 0
608	return
609
610	try:
611	# Load fitting state
612	state = self.temp_state[self.state_index]
613	#panel state should have model selection to set_state
614	if state.formfactorcombobox != None:
615	#set state
616	data = self.parent.create_gui_data(state.data)
617	data.group_id = state.data.group_id
618	self.parent.add_data(data_list={data.id: data})
619	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
620	title=data.title))
621	#need to be fix later make sure we are sendind guiframe.data
622	#to panel
623	state.data = data
624	page = self.fit_panel.set_state(state)
625	else:
626	#just set data because set_state won't work
627	data = self.parent.create_gui_data(state.data)
628	data.group_id = state.data.group_id
629	self.parent.add_data(data_list={data.id: data})
630	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
631	title=data.title))
632	page = self.add_fit_page([data])
633	caption = page.window_caption
634	self.store_data(uid=page.uid, data_list=page.get_data_list(),
635	caption=caption)
636	self.mypanels.append(page)
637
638	# get ready for the next set_state
639	self.state_index += 1
640
641	#reset state variables to default when all set_state is finished.
642	if len(self.temp_state) == self.state_index:
643
644	self.temp_state = []
645	#self.state_index = 0
646	# Make sure the user sees the fitting panel after loading
647	#self.parent.set_perspective(self.perspective)
648	self.on_perspective(event=None)
649	except:
650	self.state_index = 0
651	self.temp_state = []
652	raise
653
654	def set_param2fit(self, uid, param2fit):
655	"""
656	Set the list of param names to fit for fitprobelm
657	"""
658	self.page_finder[uid].set_param2fit(param2fit)
659
660	def set_graph_id(self, uid, graph_id):
661	"""
662	Set graph_id for fitprobelm
663	"""
664	self.page_finder[uid].set_graph_id(graph_id)
665
666	def get_graph_id(self, uid):
667	"""
668	Set graph_id for fitprobelm
669	"""
670	return self.page_finder[uid].get_graph_id()
671
672	def save_fit_state(self, filepath, fitstate):
673	"""
674	save fit page state into file
675	"""
676	self.state_reader.write(filename=filepath, fitstate=fitstate)
677
678	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
679	"""
680	Set the fit weights of a given page for all
681	its data by default. If fid is provide then set the range
682	only for the data with fid as id
683	:param uid: id corresponding to a fit page
684	:param fid: id corresponding to a fit problem (data, model)
685	:param weight: current dy data
686	"""
687	# If we are not dealing with a specific fit problem, then
688	# there is no point setting the weights.
689	if fid is None:
690	return
691	if uid in self.page_finder.keys():
692	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
693
694	def set_fit_range(self, uid, qmin, qmax, fid=None):
695	"""
696	Set the fitting range of a given page for all
697	its data by default. If fid is provide then set the range
698	only for the data with fid as id
699	:param uid: id corresponding to a fit page
700	:param fid: id corresponding to a fit problem (data, model)
701	:param qmin: minimum value of the fit range
702	:param qmax: maximum value of the fit range
703	"""
704	if uid in self.page_finder.keys():
705	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
706
707	def schedule_for_fit(self, value=0, uid=None):
708	"""
709	Set the fit problem field to 0 or 1 to schedule that problem to fit.
710	Schedule the specified fitproblem or get the fit problem related to
711	the current page and set value.
712	:param value: integer 0 or 1
713	:param uid: the id related to a page contaning fitting information
714	"""
715	if uid in self.page_finder.keys():
716	self.page_finder[uid].schedule_tofit(value)
717
718	def get_page_finder(self):
719	"""
720	return self.page_finder used also by simfitpage.py
721	"""
722	return self.page_finder
723
724	def set_page_finder(self, modelname, names, values):
725	"""
726	Used by simfitpage.py to reset a parameter given the string constrainst.
727
728	:param modelname: the name ot the model for with the parameter
729	has to reset
730	:param value: can be a string in this case.
731	:param names: the paramter name
732	"""
733	sim_page_id = self.sim_page.uid
734	for uid, value in self.page_finder.iteritems():
735	if uid != sim_page_id and uid != self.batch_page.uid:
736	model_list = value.get_model()
737	model = model_list[0]
738	if model.name == modelname:
739	value.set_model_param(names, values)
740	break
741
742	def split_string(self, item):
743	"""
744	receive a word containing dot and split it. used to split parameterset
745	name into model name and parameter name example: ::
746
747	paramaterset (item) = M1.A
748	Will return model_name = M1 , parameter name = A
749
750	"""
751	if item.find(".") >= 0:
752	param_names = re.split("\.", item)
753	model_name = param_names[0]
754	##Assume max len is 3; eg., M0.radius.width
755	if len(param_names) == 3:
756	param_name = param_names[1] + "." + param_names[2]
757	else:
758	param_name = param_names[1]
759	return model_name, param_name
760
761	def on_bumps_options(self, event=None):
762	"""
763	Open the bumps options panel.
764	"""
765	try:
766	from bumps.gui.fit_dialog import show_fit_config
767	show_fit_config(self.parent, help=self.on_help)
768	except ImportError:
769	# CRUFT: Bumps 0.7.5.6 and earlier do not have the help button
770	from bumps.gui.fit_dialog import OpenFitOptions
771	OpenFitOptions()
772
773	def on_help(self, algorithm_id):
774	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
775	_anchor = "#fit-"+algorithm_id
776	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
777
778
779	def on_fit_results(self, event=None):
780	"""
781	Make the Fit Results panel visible.
782	"""
783	self.result_frame.Show()
784	self.result_frame.Raise()
785
786	def stop_fit(self, uid):
787	"""
788	Stop the fit
789	"""
790	if uid in self.fit_thread_list.keys():
791	calc_fit = self.fit_thread_list[uid]
792	if calc_fit is not None and calc_fit.isrunning():
793	calc_fit.stop()
794	msg = "Fit stop!"
795	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
796	del self.fit_thread_list[uid]
797	#set the fit button label of page when fit stop is trigger from
798	#simultaneous fit pane
799	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
800	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
801	if sim_flag or batch_flag:
802	for uid, value in self.page_finder.iteritems():
803	if value.get_scheduled() == 1:
804	if uid in self.fit_panel.opened_pages.keys():
805	panel = self.fit_panel.opened_pages[uid]
806	panel._on_fit_complete()
807
808	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
809	enable_smearer=False):
810	"""
811	Get a smear object and store it to a fit problem of fid as id. If proper
812	flag is enable , will plot the theory with smearing information.
813
814	:param smearer: smear object to allow smearing data of id fid
815	:param enable_smearer: Define whether or not all (data, model) contained
816	in the structure of id uid will be smeared before fitting.
817	:param qmin: the maximum value of the theory plotting range
818	:param qmax: the maximum value of the theory plotting range
819	:param draw: Determine if the theory needs to be plot
820	"""
821	if uid not in self.page_finder.keys():
822	return
823	self.page_finder[uid].enable_smearing(flag=enable_smearer)
824	self.page_finder[uid].set_smearer(smearer, fid=fid)
825	if draw:
826	## draw model 1D with smeared data
827	data = self.page_finder[uid].get_fit_data(fid=fid)
828	if data is None:
829	msg = "set_mearer requires at least data.\n"
830	msg += "Got data = %s .\n" % str(data)
831	return
832	#raise ValueError, msg
833	model = self.page_finder[uid].get_model(fid=fid)
834	if model is None:
835	return
836	enable1D = issubclass(data.__class__, Data1D)
837	enable2D = issubclass(data.__class__, Data2D)
838	## if user has already selected a model to plot
839	## redraw the model with data smeared
840	smear = self.page_finder[uid].get_smearer(fid=fid)
841
842	# compute weight for the current data
843	weight = self.page_finder[uid].get_weight(fid=fid)
844
845	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
846	enable1D=enable1D, enable2D=enable2D,
847	qmin=qmin, qmax=qmax, weight=weight)
848	self._mac_sleep(0.2)
849
850	def _mac_sleep(self, sec=0.2):
851	"""
852	Give sleep to MAC
853	"""
854	if ON_MAC:
855	time.sleep(sec)
856
857	def draw_model(self, model, page_id, data=None, smearer=None,
858	enable1D=True, enable2D=False,
859	state=None,
860	fid=None,
861	toggle_mode_on=False,
862	qmin=None, qmax=None,
863	update_chisqr=True, weight=None, source='model'):
864	"""
865	Draw model.
866
867	:param model: the model to draw
868	:param name: the name of the model to draw
869	:param data: the data on which the model is based to be drawn
870	:param description: model's description
871	:param enable1D: if true enable drawing model 1D
872	:param enable2D: if true enable drawing model 2D
873	:param qmin: Range's minimum value to draw model
874	:param qmax: Range's maximum value to draw model
875	:param qstep: number of step to divide the x and y-axis
876	:param update_chisqr: update chisqr [bool]
877
878	"""
879	#self.weight = weight
880	if issubclass(data.__class__, Data1D) or not enable2D:
881	## draw model 1D with no loaded data
882	self._draw_model1D(model=model,
883	data=data,
884	page_id=page_id,
885	enable1D=enable1D,
886	smearer=smearer,
887	qmin=qmin,
888	qmax=qmax,
889	fid=fid,
890	weight=weight,
891	toggle_mode_on=toggle_mode_on,
892	state=state,
893	update_chisqr=update_chisqr,
894	source=source)
895	else:
896	## draw model 2D with no initial data
897	self._draw_model2D(model=model,
898	page_id=page_id,
899	data=data,
900	enable2D=enable2D,
901	smearer=smearer,
902	qmin=qmin,
903	qmax=qmax,
904	fid=fid,
905	weight=weight,
906	state=state,
907	toggle_mode_on=toggle_mode_on,
908	update_chisqr=update_chisqr,
909	source=source)
910
911	def onFit(self, uid):
912	"""
913	Get series of data, model, associates parameters and range and send then
914	to series of fitters. Fit data and model, display result to
915	corresponding panels.
916	:param uid: id related to the panel currently calling this fit function.
917	"""
918	if uid is None: raise RuntimeError("no page to fit") # Should never happen
919
920	sim_page_uid = getattr(self.sim_page, 'uid', None)
921	batch_page_uid = getattr(self.batch_page, 'uid', None)
922
923	if uid == sim_page_uid:
924	fit_type = 'simultaneous'
925	elif uid == batch_page_uid:
926	fit_type = 'combined_batch'
927	else:
928	fit_type = 'single'
929
930	fitter_list = []
931	sim_fitter = None
932	if fit_type == 'simultaneous':
933	# for simultaneous fitting only one fitter is needed
934	sim_fitter = Fit()
935	sim_fitter.fitter_id = self.sim_page.uid
936	fitter_list.append(sim_fitter)
937
938	self.current_pg = None
939	list_page_id = []
940	fit_id = 0
941	for page_id, page_info in self.page_finder.iteritems():
942	# For simulfit (uid give with None), do for-loop
943	# if uid is specified (singlefit), do it only on the page.
944	if page_id in (sim_page_uid, batch_page_uid): continue
945	if fit_type == "single" and page_id != uid: continue
946
947	try:
948	if page_info.get_scheduled() == 1:
949	page_info.nbr_residuals_computed = 0
950	page = self.fit_panel.get_page_by_id(page_id)
951	self.set_fit_weight(uid=page.uid,
952	flag=page.get_weight_flag(),
953	is2d=page._is_2D())
954	if not page.param_toFit:
955	msg = "No fitting parameters for %s" % page.window_caption
956	wx.PostEvent(page.parent.parent,
957	StatusEvent(status=msg, info="error",
958	type="stop"))
959	return False
960	if not page._update_paramv_on_fit():
961	msg = "Fitting range or parameter values are"
962	msg += " invalid in %s" % \
963	page.window_caption
964	wx.PostEvent(page.parent.parent,
965	StatusEvent(status=msg, info="error",
966	type="stop"))
967	return False
968
969	pars = [str(element[1]) for element in page.param_toFit]
970	fitproblem_list = page_info.values()
971	for fitproblem in fitproblem_list:
972	if sim_fitter is None:
973	fitter = Fit()
974	fitter.fitter_id = page_id
975	fitter_list.append(fitter)
976	else:
977	fitter = sim_fitter
978	self._add_problem_to_fit(fitproblem=fitproblem,
979	pars=pars,
980	fitter=fitter,
981	fit_id=fit_id)
982	fit_id += 1
983	list_page_id.append(page_id)
984	page_info.clear_model_param()
985	except KeyboardInterrupt:
986	msg = "Fitting terminated"
987	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
988	type="stop"))
989	return True
990	except:
991	raise
992	msg = "Fitting error: %s" % str(sys.exc_value)
993	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
994	type="stop"))
995	return False
996	## If a thread is already started, stop it
997	#if self.calc_fit!= None and self.calc_fit.isrunning():
998	# self.calc_fit.stop()
999	msg = "Fitting is in progress..."
1000	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
1001
1002	#Handler used to display fit message
1003	handler = ConsoleUpdate(parent=self.parent,
1004	manager=self,
1005	improvement_delta=0.1)
1006	self._mac_sleep(0.2)
1007
1008	# batch fit
1009	batch_inputs = {}
1010	batch_outputs = {}
1011	if fit_type == "simultaneous":
1012	page = self.sim_page
1013	elif fit_type == "combined_batch":
1014	page = self.batch_page
1015	else:
1016	page = self.fit_panel.get_page_by_id(uid)
1017	if page.batch_on:
1018	calc_fit = FitThread(handler=handler,
1019	fn=fitter_list,
1020	pars=pars,
1021	batch_inputs=batch_inputs,
1022	batch_outputs=batch_outputs,
1023	page_id=list_page_id,
1024	completefn=self._batch_fit_complete,
1025	reset_flag=self.batch_reset_flag)
1026	else:
1027	## Perform more than 1 fit at the time
1028	calc_fit = FitThread(handler=handler,
1029	fn=fitter_list,
1030	batch_inputs=batch_inputs,
1031	batch_outputs=batch_outputs,
1032	page_id=list_page_id,
1033	updatefn=handler.update_fit,
1034	completefn=self._fit_completed)
1035	#self.fit_thread_list[current_page_id] = calc_fit
1036	self.fit_thread_list[uid] = calc_fit
1037	calc_fit.queue()
1038	calc_fit.ready(2.5)
1039	msg = "Fitting is in progress..."
1040	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
1041
1042	return True
1043
1044	def remove_plot(self, uid, fid=None, theory=False):
1045	"""
1046	remove model plot when a fit page is closed
1047	:param uid: the id related to the fitpage to close
1048	:param fid: the id of the fitproblem(data, model, range,etc)
1049	"""
1050	if uid not in self.page_finder.keys():
1051	return
1052	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
1053	for fitproblem in fitproblemList:
1054	data = fitproblem.get_fit_data()
1055	model = fitproblem.get_model()
1056	plot_id = None
1057	if model is not None:
1058	plot_id = data.id + model.name
1059	if theory:
1060	plot_id = data.id + model.name
1061	group_id = data.group_id
1062	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
1063	group_id=group_id,
1064	action='remove'))
1065
1066	def store_data(self, uid, data_list=None, caption=None):
1067	"""
1068	Recieve a list of data and store them ans well as a caption of
1069	the fit page where they come from.
1070	:param uid: if related to a fit page
1071	:param data_list: list of data to fit
1072	:param caption: caption of the window related to these data
1073	"""
1074	if data_list is None:
1075	data_list = []
1076
1077	self.page_finder[uid].set_fit_data(data=data_list)
1078	if caption is not None:
1079	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1080
1081	def on_add_new_page(self, event=None):
1082	"""
1083	ask fit panel to create a new empty page
1084	"""
1085	try:
1086	page = self.fit_panel.add_empty_page()
1087	# add data associated to the page created
1088	if page != None:
1089	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
1090	info="info"))
1091	else:
1092	msg = "Page was already Created"
1093	wx.PostEvent(self.parent, StatusEvent(status=msg,
1094	info="warning"))
1095	except:
1096	msg = "Creating Fit page: %s" % sys.exc_value
1097	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
1098
1099	def add_fit_page(self, data):
1100	"""
1101	given a data, ask to the fitting panel to create a new fitting page,
1102	get this page and store it into the page_finder of this plug-in
1103	:param data: is a list of data
1104	"""
1105	page = self.fit_panel.set_data(data)
1106	# page could be None when loading state files
1107	if page == None:
1108	return page
1109	#append Data1D to the panel containing its theory
1110	#if theory already plotted
1111	if page.uid in self.page_finder:
1112	data = page.get_data()
1113	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
1114	if issubclass(data.__class__, Data2D):
1115	data.group_id = wx.NewId()
1116	if theory_data is not None:
1117	group_id = str(page.uid) + " Model1D"
1118	wx.PostEvent(self.parent,
1119	NewPlotEvent(group_id=group_id,
1120	action="delete"))
1121	self.parent.update_data(prev_data=theory_data,
1122	new_data=data)
1123	else:
1124	if theory_data is not None:
1125	group_id = str(page.uid) + " Model2D"
1126	data.group_id = theory_data.group_id
1127	wx.PostEvent(self.parent,
1128	NewPlotEvent(group_id=group_id,
1129	action="delete"))
1130	self.parent.update_data(prev_data=theory_data,
1131	new_data=data)
1132	self.store_data(uid=page.uid, data_list=page.get_data_list(),
1133	caption=page.window_caption)
1134	if self.sim_page is not None and not self.batch_on:
1135	self.sim_page.draw_page()
1136	if self.batch_page is not None and self.batch_on:
1137	self.batch_page.draw_page()
1138
1139	return page
1140
1141	def _onEVT_SLICER_PANEL(self, event):
1142	"""
1143	receive and event telling to update a panel with a name starting with
1144	event.panel_name. this method update slicer panel
1145	for a given interactor.
1146
1147	:param event: contains type of slicer , paramaters for updating
1148	the panel and panel_name to find the slicer 's panel concerned.
1149	"""
1150	event.panel_name
1151	for item in self.parent.panels:
1152	name = event.panel_name
1153	if self.parent.panels[item].window_caption.startswith(name):
1154	self.parent.panels[item].set_slicer(event.type, event.params)
1155
1156	#self.parent._mgr.Update()
1157
1158	def _closed_fitpage(self, event):
1159	"""
1160	request fitpanel to close a given page when its unique data is removed
1161	from the plot. close fitpage only when the a loaded data is removed
1162	"""
1163	if event is None or event.data is None:
1164	return
1165	if hasattr(event.data, "is_data"):
1166	if not event.data.is_data or \
1167	event.data.__class__.__name__ == "Data1D":
1168	self.fit_panel.close_page_with_data(event.data)
1169
1170	def _reset_schedule_problem(self, value=0, uid=None):
1171	"""
1172	unschedule or schedule all fitproblem to be fit
1173	"""
1174	# case that uid is not specified
1175	if uid == None:
1176	for page_id in self.page_finder.keys():
1177	self.page_finder[page_id].schedule_tofit(value)
1178	# when uid is given
1179	else:
1180	if uid in self.page_finder.keys():
1181	self.page_finder[uid].schedule_tofit(value)
1182
1183	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
1184	"""
1185	Create and set fitter with series of data and model
1186	"""
1187	data = fitproblem.get_fit_data()
1188	model = fitproblem.get_model()
1189	smearer = fitproblem.get_smearer()
1190	qmin, qmax = fitproblem.get_range()
1191
1192	#Extra list of parameters and their constraints
1193	listOfConstraint = []
1194	param = fitproblem.get_model_param()
1195	if len(param) > 0:
1196	for item in param:
1197	## check if constraint
1198	if item[0] != None and item[1] != None:
1199	listOfConstraint.append((item[0], item[1]))
1200	new_model = model
1201	fitter.set_model(new_model, fit_id, pars, data=data,
1202	constraints=listOfConstraint)
1203	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
1204	qmax=qmax)
1205	fitter.select_problem_for_fit(id=fit_id, value=1)
1206
1207	def _onSelect(self, event):
1208	"""
1209	when Select data to fit a new page is created .Its reference is
1210	added to self.page_finder
1211	"""
1212	panel = self.plot_panel
1213	if panel == None:
1214	raise ValueError, "Fitting:_onSelect: NonType panel"
1215	Plugin.on_perspective(self, event=event)
1216	self.select_data(panel)
1217
1218	def select_data(self, panel):
1219	"""
1220	"""
1221	for plottable in panel.graph.plottables:
1222	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
1223	data_id = panel.graph.selected_plottable
1224	if plottable == panel.plots[data_id]:
1225	data = plottable
1226	self.add_fit_page(data=[data])
1227	return
1228	else:
1229	data = plottable
1230	self.add_fit_page(data=[data])
1231
1232	def update_fit(self, result=None, msg=""):
1233	"""
1234	"""
1235	print "update_fit result", result
1236
1237	def _batch_fit_complete(self, result, pars, page_id,
1238	batch_outputs, batch_inputs, elapsed=None):
1239	"""
1240	Display fit result in batch
1241	:param result: list of objects received from fitters
1242	:param pars: list of fitted parameters names
1243	:param page_id: list of page ids which called fit function
1244	:param elapsed: time spent at the fitting level
1245	"""
1246	self._mac_sleep(0.2)
1247	uid = page_id[0]
1248	if uid in self.fit_thread_list.keys():
1249	del self.fit_thread_list[uid]
1250
1251	wx.CallAfter(self._update_fit_button, page_id)
1252	t1 = time.time()
1253	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1254	msg = "Fit completed on %s \n" % str_time
1255	msg += "Duration time: %s s.\n" % str(elapsed)
1256	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
1257	type="stop"))
1258
1259	if batch_outputs is None:
1260	batch_outputs = {}
1261
1262	# format batch_outputs
1263	batch_outputs["Chi2"] = []
1264	#Don't like these loops
1265	# Need to create dictionary of all fitted parameters
1266	# since the number of parameters can differ between each fit result
1267	for list_res in result:
1268	for res in list_res:
1269	model, data = res.inputs[0]
1270	if model is not None and hasattr(model, "model"):
1271	model = model.model
1272	#get all fittable parameters of the current model
1273	for param in model.getParamList():
1274	if param not in batch_outputs.keys():
1275	batch_outputs[param] = []
1276	for param in model.getDispParamList():
1277	if not model.is_fittable(param) and \
1278	param in batch_outputs.keys():
1279	del batch_outputs[param]
1280	# Add fitted parameters and their error
1281	for param in res.param_list:
1282	if param not in batch_outputs.keys():
1283	batch_outputs[param] = []
1284	err_param = "error on %s" % str(param)
1285	if err_param not in batch_inputs.keys():
1286	batch_inputs[err_param] = []
1287	msg = ""
1288	for list_res in result:
1289	for res in list_res:
1290	pid = res.fitter_id
1291	model, data = res.inputs[0]
1292	correct_result = False
1293	if model is not None and hasattr(model, "model"):
1294	model = model.model
1295	if data is not None and hasattr(data, "sas_data"):
1296	data = data.sas_data
1297
1298	is_data2d = issubclass(data.__class__, Data2D)
1299	#check consistency of arrays
1300	if not is_data2d:
1301	if len(res.theory) == len(res.index[res.index]) and \
1302	len(res.index) == len(data.y):
1303	correct_result = True
1304	else:
1305	copy_data = deepcopy(data)
1306	new_theory = copy_data.data
1307	new_theory[res.index] = res.theory
1308	new_theory[res.index == False] = numpy.nan
1309	correct_result = True
1310	#get all fittable parameters of the current model
1311	param_list = model.getParamList()
1312	for param in model.getDispParamList():
1313	if not model.is_fittable(param) and \
1314	param in param_list:
1315	param_list.remove(param)
1316	if not correct_result or res.fitness is None or \
1317	not numpy.isfinite(res.fitness) or \
1318	numpy.any(res.pvec == None) or not \
1319	numpy.all(numpy.isfinite(res.pvec)):
1320	data_name = str(None)
1321	if data is not None:
1322	data_name = str(data.name)
1323	model_name = str(None)
1324	if model is not None:
1325	model_name = str(model.name)
1326	msg += "Data %s and Model %s did not fit.\n" % (data_name,
1327	model_name)
1328	ERROR = numpy.NAN
1329	cell = BatchCell()
1330	cell.label = res.fitness
1331	cell.value = res.fitness
1332	batch_outputs["Chi2"].append(ERROR)
1333	for param in param_list:
1334	# save value of fixed parameters
1335	if param not in res.param_list:
1336	batch_outputs[str(param)].append(ERROR)
1337	else:
1338	#save only fitted values
1339	batch_outputs[param].append(ERROR)
1340	batch_inputs["error on %s" % str(param)].append(ERROR)
1341	else:
1342	# TODO: Why sometimes res.pvec comes with numpy.float64?
1343	# probably from scipy lmfit
1344	if res.pvec.__class__ == numpy.float64:
1345	res.pvec = [res.pvec]
1346
1347	cell = BatchCell()
1348	cell.label = res.fitness
1349	cell.value = res.fitness
1350	batch_outputs["Chi2"].append(cell)
1351	# add parameters to batch_results
1352	for param in param_list:
1353	# save value of fixed parameters
1354	if param not in res.param_list:
1355	batch_outputs[str(param)].append(model.getParam(param))
1356	else:
1357	index = res.param_list.index(param)
1358	#save only fitted values
1359	batch_outputs[param].append(res.pvec[index])
1360	if res.stderr is not None and \
1361	len(res.stderr) == len(res.param_list):
1362	item = res.stderr[index]
1363	batch_inputs["error on %s" % param].append(item)
1364	else:
1365	batch_inputs["error on %s" % param].append('-')
1366	model.setParam(param, res.pvec[index])
1367	#fill the batch result with emtpy value if not in the current
1368	#model
1369	EMPTY = "-"
1370	for key in batch_outputs.keys():
1371	if key not in param_list and key not in ["Chi2", "Data"]:
1372	batch_outputs[key].append(EMPTY)
1373
1374	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
1375	batch_outputs=batch_outputs)
1376
1377	cpage = self.fit_panel.get_page_by_id(pid)
1378	cpage._on_fit_complete()
1379	self.page_finder[pid][data.id].set_result(res)
1380	fitproblem = self.page_finder[pid][data.id]
1381	qmin, qmax = fitproblem.get_range()
1382	plot_result = False
1383	if correct_result:
1384	if not is_data2d:
1385	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
1386	elapsed=None,
1387	index=res.index, model=model,
1388	weight=None, fid=data.id,
1389	toggle_mode_on=False, state=None,
1390	data=data, update_chisqr=False,
1391	source='fit', plot_result=plot_result)
1392	else:
1393	self._complete2D(image=new_theory, data=data,
1394	model=model,
1395	page_id=pid, elapsed=None,
1396	index=res.index,
1397	qmin=qmin,
1398	qmax=qmax, fid=data.id, weight=None,
1399	toggle_mode_on=False, state=None,
1400	update_chisqr=False,
1401	source='fit', plot_result=plot_result)
1402	self.on_set_batch_result(page_id=pid,
1403	fid=data.id,
1404	batch_outputs=batch_outputs,
1405	batch_inputs=batch_inputs)
1406
1407	wx.PostEvent(self.parent, StatusEvent(status=msg, error="info",
1408	type="stop"))
1409	# Remove parameters that are not shown
1410	cpage = self.fit_panel.get_page_by_id(uid)
1411	tbatch_outputs = {}
1412	shownkeystr = cpage.get_copy_params()
1413	for key in batch_outputs.keys():
1414	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
1415	tbatch_outputs[key] = batch_outputs[key]
1416
1417	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
1418	batch_inputs, self.sub_menu)
1419
1420	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
1421	"""
1422	"""
1423	pid = page_id
1424	if fid not in self.page_finder[pid]:
1425	return
1426	fitproblem = self.page_finder[pid][fid]
1427	index = self.page_finder[pid].nbr_residuals_computed - 1
1428	residuals = fitproblem.get_residuals()
1429	theory_data = fitproblem.get_theory_data()
1430	data = fitproblem.get_fit_data()
1431	model = fitproblem.get_model()
1432	#fill batch result information
1433	if "Data" not in batch_outputs.keys():
1434	batch_outputs["Data"] = []
1435	from sas.sasgui.guiframe.data_processor import BatchCell
1436	cell = BatchCell()
1437	cell.label = data.name
1438	cell.value = index
1439
1440	if theory_data != None:
1441	#Suucessful fit
1442	theory_data.id = wx.NewId()
1443	theory_data.name = model.name + "[%s]" % str(data.name)
1444	if issubclass(theory_data.__class__, Data2D):
1445	group_id = wx.NewId()
1446	theory_data.group_id = group_id
1447	if group_id not in theory_data.list_group_id:
1448	theory_data.list_group_id.append(group_id)
1449
1450	try:
1451	# associate residuals plot
1452	if issubclass(residuals.__class__, Data2D):
1453	group_id = wx.NewId()
1454	residuals.group_id = group_id
1455	if group_id not in residuals.list_group_id:
1456	residuals.list_group_id.append(group_id)
1457	batch_outputs["Chi2"][index].object = [residuals]
1458	except:
1459	pass
1460
1461	cell.object = [data, theory_data]
1462	batch_outputs["Data"].append(cell)
1463	for key, value in data.meta_data.iteritems():
1464	if key not in batch_inputs.keys():
1465	batch_inputs[key] = []
1466	#if key.lower().strip() != "loader":
1467	batch_inputs[key].append(value)
1468	param = "temperature"
1469	if hasattr(data.sample, param):
1470	if param not in batch_inputs.keys():
1471	batch_inputs[param] = []
1472	batch_inputs[param].append(data.sample.temperature)
1473
1474	def _fit_completed(self, result, page_id, batch_outputs,
1475	batch_inputs=None, pars=None, elapsed=None):
1476	"""
1477	Display result of the fit on related panel(s).
1478	:param result: list of object generated when fit ends
1479	:param pars: list of names of parameters fitted
1480	:param page_id: list of page ids which called fit function
1481	:param elapsed: time spent at the fitting level
1482	"""
1483	t1 = time.time()
1484	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1485	msg = "Fit completed on %s \n" % str_time
1486	msg += "Duration time: %s s.\n" % str(elapsed)
1487	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
1488	type="stop"))
1489	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
1490	wx.CallAfter(self._update_fit_button, page_id)
1491	result = result[0]
1492	self.fit_thread_list = {}
1493	if page_id is None:
1494	page_id = []
1495	## fit more than 1 model at the same time
1496	self._mac_sleep(0.2)
1497	try:
1498	index = 0
1499	# Update potential simfit page(s)
1500	if self.sim_page is not None:
1501	self.sim_page._on_fit_complete()
1502	if self.batch_page:
1503	self.batch_page._on_fit_complete()
1504	# Update all fit pages
1505	for uid in page_id:
1506	res = result[index]
1507	if res.fitness is None or \
1508	not numpy.isfinite(res.fitness) or \
1509	numpy.any(res.pvec == None) or \
1510	not numpy.all(numpy.isfinite(res.pvec)):
1511	msg = "Fitting did not converge!!!"
1512	wx.PostEvent(self.parent,
1513	StatusEvent(status=msg,
1514	info="warning",
1515	type="stop"))
1516	wx.CallAfter(self._update_fit_button, page_id)
1517	else:
1518	#set the panel when fit result are float not list
1519	if res.pvec.__class__ == numpy.float64:
1520	pvec = [res.pvec]
1521	else:
1522	pvec = res.pvec
1523	if res.stderr.__class__ == numpy.float64:
1524	stderr = [res.stderr]
1525	else:
1526	stderr = res.stderr
1527	cpage = self.fit_panel.get_page_by_id(uid)
1528	# Make sure we got all results
1529	#(CallAfter is important to MAC)
1530	try:
1531	#if res != None:
1532	wx.CallAfter(cpage.onsetValues, res.fitness,
1533	res.param_list,
1534	pvec, stderr)
1535	index += 1
1536	wx.CallAfter(cpage._on_fit_complete)
1537	except KeyboardInterrupt:
1538	msg = "Singular point: Fitting Stoped."
1539	wx.PostEvent(self.parent, StatusEvent(status=msg,
1540	info="info",
1541	type="stop"))
1542	except:
1543	msg = "Singular point: Fitting Error occurred."
1544	wx.PostEvent(self.parent, StatusEvent(status=msg,
1545	info="error",
1546	type="stop"))
1547
1548	except:
1549	msg = ("Fit completed but the following error occurred: %s"
1550	% sys.exc_value)
1551	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
1552	wx.PostEvent(self.parent, StatusEvent(status=msg, info="warning",
1553	type="stop"))
1554
1555	def _update_fit_button(self, page_id):
1556	"""
1557	Update Fit button when fit stopped
1558
1559	: parameter page_id: fitpage where the button is
1560	"""
1561	if page_id.__class__.__name__ != 'list':
1562	page_id = [page_id]
1563	for uid in page_id:
1564	page = self.fit_panel.get_page_by_id(uid)
1565	page._on_fit_complete()
1566
1567	def _on_show_panel(self, event):
1568	"""
1569	"""
1570	pass
1571
1572	def on_reset_batch_flag(self, event):
1573	"""
1574	Set batch_reset_flag
1575	"""
1576	event.Skip()
1577	if self.menu1 == None:
1578	return
1579	menu_item = self.menu1.FindItemById(self.id_reset_flag)
1580	flag = menu_item.IsChecked()
1581	if not flag:
1582	menu_item.Check(False)
1583	self.batch_reset_flag = True
1584	else:
1585	menu_item.Check(True)
1586	self.batch_reset_flag = False
1587
1588	## post a message to status bar
1589	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
1590	wx.PostEvent(self.parent,
1591	StatusEvent(status=msg))
1592
1593
1594	def _on_slicer_event(self, event):
1595	"""
1596	Receive a panel as event and send it to guiframe
1597
1598	:param event: event containing a panel
1599
1600	"""
1601	if event.panel is not None:
1602	self.slicer_panels.append(event.panel)
1603	# Set group ID if available
1604	event_id = self.parent.popup_panel(event.panel)
1605	event.panel.uid = event_id
1606	self.mypanels.append(event.panel)
1607
1608	def _onclearslicer(self, event):
1609	"""
1610	Clear the boxslicer when close the panel associate with this slicer
1611	"""
1612	name = event.GetEventObject().frame.GetTitle()
1613	for panel in self.slicer_panels:
1614	if panel.window_caption == name:
1615
1616	for item in self.parent.panels:
1617	if hasattr(self.parent.panels[item], "uid"):
1618	if self.parent.panels[item].uid == panel.base.uid:
1619	self.parent.panels[item].onClearSlicer(event)
1620	#self.parent._mgr.Update()
1621	break
1622	break
1623
1624	def _on_model_panel(self, evt):
1625	"""
1626	react to model selection on any combo box or model menu.plot the model
1627
1628	:param evt: wx.combobox event
1629
1630	"""
1631	model = evt.model
1632	uid = evt.uid
1633	qmin = evt.qmin
1634	qmax = evt.qmax
1635	caption = evt.caption
1636	enable_smearer = evt.enable_smearer
1637	if model == None:
1638	return
1639	if uid not in self.page_finder.keys():
1640	return
1641	# save the name containing the data name with the appropriate model
1642	self.page_finder[uid].set_model(model)
1643	self.page_finder[uid].enable_smearing(enable_smearer)
1644	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1645	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1646	if self.sim_page is not None and not self.batch_on:
1647	self.sim_page.draw_page()
1648	if self.batch_page is not None and self.batch_on:
1649	self.batch_page.draw_page()
1650
1651	def _update1D(self, x, output):
1652	"""
1653	Update the output of plotting model 1D
1654	"""
1655	msg = "Plot updating ... "
1656	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
1657
1658	def _complete1D(self, x, y, page_id, elapsed, index, model,
1659	weight=None, fid=None,
1660	toggle_mode_on=False, state=None,
1661	data=None, update_chisqr=True,
1662	source='model', plot_result=True):
1663	"""
1664	Complete plotting 1D data
1665	"""
1666	try:
1667	numpy.nan_to_num(y)
1668
1669	new_plot = Data1D(x=x, y=y)
1670	new_plot.is_data = False
1671	new_plot.dy = numpy.zeros(len(y))
1672	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1673	_yaxis, _yunit = data.get_yaxis()
1674	_xaxis, _xunit = data.get_xaxis()
1675	new_plot.title = data.name
1676
1677	new_plot.group_id = data.group_id
1678	if new_plot.group_id == None:
1679	new_plot.group_id = data.group_id
1680	new_plot.id = str(page_id) + " " + data.name
1681	#if new_plot.id in self.color_dict:
1682	# new_plot.custom_color = self.color_dict[new_plot.id]
1683	#find if this theory was already plotted and replace that plot given
1684	#the same id
1685	self.page_finder[page_id].get_theory_data(fid=data.id)
1686
1687	if data.is_data:
1688	data_name = str(data.name)
1689	else:
1690	data_name = str(model.__class__.__name__)
1691
1692	new_plot.name = model.name + " [" + data_name + "]"
1693	new_plot.xaxis(_xaxis, _xunit)
1694	new_plot.yaxis(_yaxis, _yunit)
1695	self.page_finder[page_id].set_theory_data(data=new_plot,
1696	fid=data.id)
1697	self.parent.update_theory(data_id=data.id, theory=new_plot,
1698	state=state)
1699	current_pg = self.fit_panel.get_page_by_id(page_id)
1700	title = new_plot.title
1701	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1702	if not batch_on:
1703	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1704	title=str(title)))
1705	elif plot_result:
1706	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
1707	if data.id == top_data_id:
1708	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1709	title=str(title)))
1710	caption = current_pg.window_caption
1711	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
1712
1713	self.page_finder[page_id].set_theory_data(data=new_plot,
1714	fid=data.id)
1715	if toggle_mode_on:
1716	wx.PostEvent(self.parent,
1717	NewPlotEvent(group_id=str(page_id) + " Model2D",
1718	action="Hide"))
1719	else:
1720	if update_chisqr:
1721	wx.PostEvent(current_pg,
1722	Chi2UpdateEvent(output=self._cal_chisqr(
1723	data=data,
1724	fid=fid,
1725	weight=weight,
1726	page_id=page_id,
1727	index=index)))
1728	else:
1729	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1730	index=index, weight=weight)
1731
1732	msg = "Computation completed!"
1733	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1734	except:
1735	raise
1736
1737	def _update2D(self, output, time=None):
1738	"""
1739	Update the output of plotting model
1740	"""
1741	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1742	#updating ... ", type="update"))
1743	#self.ready_fit()
1744
1745	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1746	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
1747	update_chisqr=True, source='model', plot_result=True):
1748	"""
1749	Complete get the result of modelthread and create model 2D
1750	that can be plot.
1751	"""
1752	numpy.nan_to_num(image)
1753	new_plot = Data2D(image=image, err_image=data.err_data)
1754	new_plot.name = model.name + '2d'
1755	new_plot.title = "Analytical model 2D "
1756	new_plot.id = str(page_id) + " " + data.name
1757	new_plot.group_id = str(page_id) + " Model2D"
1758	new_plot.detector = data.detector
1759	new_plot.source = data.source
1760	new_plot.is_data = False
1761	new_plot.qx_data = data.qx_data
1762	new_plot.qy_data = data.qy_data
1763	new_plot.q_data = data.q_data
1764	new_plot.mask = data.mask
1765	## plot boundaries
1766	new_plot.ymin = data.ymin
1767	new_plot.ymax = data.ymax
1768	new_plot.xmin = data.xmin
1769	new_plot.xmax = data.xmax
1770	title = data.title
1771
1772	new_plot.is_data = False
1773	if data.is_data:
1774	data_name = str(data.name)
1775	else:
1776	data_name = str(model.__class__.__name__) + '2d'
1777
1778	if len(title) > 1:
1779	new_plot.title = "Model2D for %s " % model.name + data_name
1780	new_plot.name = model.name + " [" + \
1781	data_name + "]"
1782	theory_data = deepcopy(new_plot)
1783
1784	self.page_finder[page_id].set_theory_data(data=theory_data,
1785	fid=data.id)
1786	self.parent.update_theory(data_id=data.id,
1787	theory=new_plot,
1788	state=state)
1789	current_pg = self.fit_panel.get_page_by_id(page_id)
1790	title = new_plot.title
1791	if not source == 'fit' and plot_result:
1792	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1793	title=title))
1794	if toggle_mode_on:
1795	wx.PostEvent(self.parent,
1796	NewPlotEvent(group_id=str(page_id) + " Model1D",
1797	action="Hide"))
1798	else:
1799	# Chisqr in fitpage
1800	if update_chisqr:
1801	wx.PostEvent(current_pg,
1802	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1803	weight=weight,
1804	fid=fid,
1805	page_id=page_id,
1806	index=index)))
1807	else:
1808	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1809	index=index, weight=weight)
1810	msg = "Computation completed!"
1811	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1812
1813	def _draw_model2D(self, model, page_id, qmin,
1814	qmax,
1815	data=None, smearer=None,
1816	description=None, enable2D=False,
1817	state=None,
1818	fid=None,
1819	weight=None,
1820	toggle_mode_on=False,
1821	update_chisqr=True, source='model'):
1822	"""
1823	draw model in 2D
1824
1825	:param model: instance of the model to draw
1826	:param description: the description of the model
1827	:param enable2D: when True allows to draw model 2D
1828	:param qmin: the minimum value to draw model 2D
1829	:param qmax: the maximum value to draw model 2D
1830	:param qstep: the number of division of Qx and Qy of the model to draw
1831
1832	"""
1833	if not enable2D:
1834	return None
1835	try:
1836	from model_thread import Calc2D
1837	## If a thread is already started, stop it
1838	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1839	self.calc_2D.stop()
1840	## stop just raises a flag to tell the thread to kill
1841	## itself -- see the fix in Calc1D implemented to fix
1842	## an actual problem. Seems the fix should also go here
1843	## and may be the cause of other noted instabilities
1844	##
1845	## -PDB August 12, 2014
1846	while self.calc_2D.isrunning():
1847	time.sleep(0.1)
1848	self.calc_2D = Calc2D(model=model,
1849	data=data,
1850	page_id=page_id,
1851	smearer=smearer,
1852	qmin=qmin,
1853	qmax=qmax,
1854	weight=weight,
1855	fid=fid,
1856	toggle_mode_on=toggle_mode_on,
1857	state=state,
1858	completefn=self._complete2D,
1859	update_chisqr=update_chisqr, source=source)
1860	self.calc_2D.queue()
1861	except:
1862	raise
1863
1864	def _draw_model1D(self, model, page_id, data,
1865	qmin, qmax, smearer=None,
1866	state=None,
1867	weight=None,
1868	fid=None,
1869	toggle_mode_on=False, update_chisqr=True, source='model',
1870	enable1D=True):
1871	"""
1872	Draw model 1D from loaded data1D
1873
1874	:param data: loaded data
1875	:param model: the model to plot
1876
1877	"""
1878	if not enable1D:
1879	return
1880	try:
1881	from model_thread import Calc1D
1882	## If a thread is already started, stop it
1883	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1884	self.calc_1D.stop()
1885	## stop just raises the flag -- the thread is supposed to
1886	## then kill itself but cannot. Paul Kienzle came up with
1887	## this fix to prevent threads from stepping on each other
1888	## which was causing a simple custom model to crash Sasview.
1889	## We still don't know why the fit sometimes lauched a second
1890	## thread -- something which should also be investigated.
1891	## The thread approach was implemented in order to be able
1892	## to lauch a computation in a separate thread from the GUI so
1893	## that the GUI can still respond to user input including
1894	## a request to stop the computation.
1895	## It seems thus that the whole thread approach used here
1896	## May need rethinking
1897	##
1898	## -PDB August 12, 2014
1899	while self.calc_1D.isrunning():
1900	time.sleep(0.1)
1901	self.calc_1D = Calc1D(data=data,
1902	model=model,
1903	page_id=page_id,
1904	qmin=qmin,
1905	qmax=qmax,
1906	smearer=smearer,
1907	state=state,
1908	weight=weight,
1909	fid=fid,
1910	toggle_mode_on=toggle_mode_on,
1911	completefn=self._complete1D,
1912	#updatefn = self._update1D,
1913	update_chisqr=update_chisqr,
1914	source=source)
1915	self.calc_1D.queue()
1916	except:
1917	msg = " Error occurred when drawing %s Model 1D: " % model.name
1918	msg += " %s" % sys.exc_value
1919	wx.PostEvent(self.parent, StatusEvent(status=msg))
1920
1921	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
1922	"""
1923	Get handy Chisqr using the output from draw1D and 2D,
1924	instead of calling expansive CalcChisqr in guithread
1925	"""
1926	try:
1927	data_copy = deepcopy(data)
1928	except:
1929	return
1930	# default chisqr
1931	chisqr = None
1932	#to compute chisq make sure data has valid data
1933	# return None if data == None
1934	if not check_data_validity(data_copy) or data_copy == None:
1935	return chisqr
1936
1937	# Get data: data I, theory I, and data dI in order
1938	if data_copy.__class__.__name__ == "Data2D":
1939	if index == None:
1940	index = numpy.ones(len(data_copy.data), dtype=bool)
1941	if weight != None:
1942	data_copy.err_data = weight
1943	# get rid of zero error points
1944	index = index & (data_copy.err_data != 0)
1945	index = index & (numpy.isfinite(data_copy.data))
1946	fn = data_copy.data[index]
1947	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
1948	if theory_data == None:
1949	return chisqr
1950	gn = theory_data.data[index]
1951	en = data_copy.err_data[index]
1952	else:
1953	# 1 d theory from model_thread is only in the range of index
1954	if index == None:
1955	index = numpy.ones(len(data_copy.y), dtype=bool)
1956	if weight != None:
1957	data_copy.dy = weight
1958	if data_copy.dy == None or data_copy.dy == []:
1959	dy = numpy.ones(len(data_copy.y))
1960	else:
1961	## Set consistently w/AbstractFitengine:
1962	# But this should be corrected later.
1963	dy = deepcopy(data_copy.dy)
1964	dy[dy == 0] = 1
1965	fn = data_copy.y[index]
1966
1967	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
1968	if theory_data == None:
1969	return chisqr
1970	gn = theory_data.y
1971	en = dy[index]
1972
1973	# residual
1974	try:
1975	res = (fn - gn) / en
1976	except ValueError:
1977	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
1978	return
1979
1980	residuals = res[numpy.isfinite(res)]
1981	# get chisqr only w/finite
1982	chisqr = numpy.average(residuals * residuals)
1983
1984	self._plot_residuals(page_id=page_id, data=data_copy,
1985	fid=fid,
1986	weight=weight, index=index)
1987
1988	return chisqr
1989
1990	def _plot_residuals(self, page_id, weight, fid=None,
1991	data=None, index=None):
1992	"""
1993	Plot the residuals
1994
1995	:param data: data
1996	:param index: index array (bool)
1997	: Note: this is different from the residuals in cal_chisqr()
1998	"""
1999	data_copy = deepcopy(data)
2000	# Get data: data I, theory I, and data dI in order
2001	if data_copy.__class__.__name__ == "Data2D":
2002	# build residuals
2003	residuals = Data2D()
2004	#residuals.copy_from_datainfo(data)
2005	# Not for trunk the line below, instead use the line above
2006	data_copy.clone_without_data(len(data_copy.data), residuals)
2007	residuals.data = None
2008	fn = data_copy.data
2009	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2010	gn = theory_data.data
2011	if weight == None:
2012	en = data_copy.err_data
2013	else:
2014	en = weight
2015	residuals.data = (fn - gn) / en
2016	residuals.qx_data = data_copy.qx_data
2017	residuals.qy_data = data_copy.qy_data
2018	residuals.q_data = data_copy.q_data
2019	residuals.err_data = numpy.ones(len(residuals.data))
2020	residuals.xmin = min(residuals.qx_data)
2021	residuals.xmax = max(residuals.qx_data)
2022	residuals.ymin = min(residuals.qy_data)
2023	residuals.ymax = max(residuals.qy_data)
2024	residuals.q_data = data_copy.q_data
2025	residuals.mask = data_copy.mask
2026	residuals.scale = 'linear'
2027	# check the lengths
2028	if len(residuals.data) != len(residuals.q_data):
2029	return
2030	else:
2031	# 1 d theory from model_thread is only in the range of index
2032	if data_copy.dy == None or data_copy.dy == []:
2033	dy = numpy.ones(len(data_copy.y))
2034	else:
2035	if weight == None:
2036	dy = numpy.ones(len(data_copy.y))
2037	## Set consitently w/AbstractFitengine:
2038	## But this should be corrected later.
2039	else:
2040	dy = weight
2041	dy[dy == 0] = 1
2042	fn = data_copy.y[index]
2043	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2044	gn = theory_data.y
2045	en = dy[index]
2046	# build residuals
2047	residuals = Data1D()
2048	try:
2049	residuals.y = (fn - gn) / en
2050	except:
2051	msg = "ResidualPlot Error: different # of data points in theory"
2052	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
2053	residuals.y = (fn - gn[index]) / en
2054	residuals.x = data_copy.x[index]
2055	residuals.dy = numpy.ones(len(residuals.y))
2056	residuals.dx = None
2057	residuals.dxl = None
2058	residuals.dxw = None
2059	residuals.ytransform = 'y'
2060	# For latter scale changes
2061	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
2062	residuals.yaxis('\\rm{Residuals} ', 'normalized')
2063	theory_name = str(theory_data.name.split()[0])
2064	new_plot = residuals
2065	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
2066	str(data.name) + "]"
2067	## allow to highlight data when plotted
2068	new_plot.interactive = True
2069	## when 2 data have the same id override the 1 st plotted
2070	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
2071	##group_id specify on which panel to plot this data
2072	group_id = self.page_finder[page_id].get_graph_id()
2073	if group_id == None:
2074	group_id = data.group_id
2075	new_plot.group_id = "res" + str(group_id)
2076	#new_plot.is_data = True
2077	##post data to plot
2078	title = new_plot.name
2079	self.page_finder[page_id].set_residuals(residuals=new_plot,
2080	fid=data.id)
2081	self.parent.update_theory(data_id=data.id, theory=new_plot)
2082	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
2083	if not batch_on:
2084	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ dcdca68

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