fitting.py @ 012e397

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-4.2.2ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 012e397 was e0d9ed2, checked in by wojciech, 8 years ago
Skipping one smearing set up to avoid double Iq evaluation/compilation
Property mode set to `100755`
File size: 87.9 KB

Line
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 traceback
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	from . import models
49
50	MAX_NBR_DATA = 4
51
52	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
53
54
55	if sys.platform == "win32":
56	ON_MAC = False
57	else:
58	ON_MAC = True
59
60	import bumps.options
61	from bumps.gui.fit_dialog import show_fit_config
62	try:
63	from bumps.gui.fit_dialog import EVT_FITTER_CHANGED
64	except ImportError:
65	# CRUFT: bumps 0.7.5.8 and below
66	EVT_FITTER_CHANGED = None # type: wx.PyCommandEvent
67
68	class Plugin(PluginBase):
69	"""
70	Fitting plugin is used to perform fit
71	"""
72	def __init__(self):
73	PluginBase.__init__(self, name="Fitting")
74
75	#list of panel to send to guiframe
76	self.mypanels = []
77	# reference to the current running thread
78	self.calc_2D = None
79	self.calc_1D = None
80
81	self.color_dict = {}
82
83	self.fit_thread_list = {}
84	self.residuals = None
85	self.weight = None
86	self.fit_panel = None
87	self.plot_panel = None
88	# Start with a good default
89	self.elapsed = 0.022
90	self.fit_panel = None
91	## dictionary of page closed and id
92	self.closed_page_dict = {}
93	## Relative error desired in the sum of squares (float)
94	self.batch_reset_flag = True
95	#List of selected data
96	self.selected_data_list = []
97	## list of slicer panel created to display slicer parameters and results
98	self.slicer_panels = []
99	# model 2D view
100	self.model2D_id = None
101	#keep reference of the simultaneous fit page
102	self.sim_page = None
103	self.sim_menu = None
104	self.batch_page = None
105	self.batch_menu = None
106	self.index_model = 0
107	self.test_model_color = None
108	#Create a reader for fit page's state
109	self.state_reader = None
110	self._extensions = '.fitv'
111	self.menu1 = None
112	self.new_model_frame = None
113
114	self.temp_state = []
115	self.state_index = 0
116	self.sfile_ext = None
117	# take care of saving data, model and page associated with each other
118	self.page_finder = {}
119	# Log startup
120	logging.info("Fitting plug-in started")
121	self.batch_capable = self.get_batch_capable()
122
123	def get_batch_capable(self):
124	"""
125	Check if the plugin has a batch capability
126	"""
127	return True
128
129	def create_fit_problem(self, page_id):
130	"""
131	Given an ID create a fitproblem container
132	"""
133	self.page_finder[page_id] = FitProblemDictionary()
134
135	def delete_fit_problem(self, page_id):
136	"""
137	Given an ID create a fitproblem container
138	"""
139	if page_id in self.page_finder.iterkeys():
140	del self.page_finder[page_id]
141
142	def add_color(self, color, id):
143	"""
144	adds a color as a key with a plot id as its value to a dictionary
145	"""
146	self.color_dict[id] = color
147
148	def on_batch_selection(self, flag):
149	"""
150	switch the the notebook of batch mode or not
151	"""
152	self.batch_on = flag
153	if self.fit_panel is not None:
154	self.fit_panel.batch_on = self.batch_on
155
156	def populate_menu(self, owner):
157	"""
158	Create a menu for the Fitting plug-in
159
160	:param id: id to create a menu
161	:param owner: owner of menu
162
163	:return: list of information to populate the main menu
164
165	"""
166	#Menu for fitting
167	self.menu1 = wx.Menu()
168	id1 = wx.NewId()
169	simul_help = "Add new fit panel"
170	self.menu1.Append(id1, '&New Fit Page', simul_help)
171	wx.EVT_MENU(owner, id1, self.on_add_new_page)
172	self.menu1.AppendSeparator()
173	self.id_simfit = wx.NewId()
174	simul_help = "Constrained or Simultaneous Fit"
175	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
176	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
177	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
178	self.sim_menu.Enable(False)
179	#combined Batch
180	self.id_batchfit = wx.NewId()
181	batch_help = "Combined Batch"
182	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
183	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
184	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
185	self.batch_menu.Enable(False)
186
187	self.menu1.AppendSeparator()
188	self.id_bumps_options = wx.NewId()
189	bopts_help = "Fitting options"
190	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
191	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
192	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
193	self.bumps_options_menu.Enable(True)
194
195	self.id_result_panel = wx.NewId()
196	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
197	wx.EVT_MENU(owner, self.id_result_panel, self.on_fit_results)
198	self.menu1.AppendSeparator()
199
200	self.id_reset_flag = wx.NewId()
201	resetf_help = "BatchFit: If checked, the initial param values will be "
202	resetf_help += "propagated from the previous results. "
203	resetf_help += "Otherwise, the same initial param values will be used "
204	resetf_help += "for all fittings."
205	self.menu1.AppendCheckItem(self.id_reset_flag,
206	"Chain Fitting [BatchFit Only]",
207	resetf_help)
208	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
209	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
210	chain_menu.Check(not self.batch_reset_flag)
211	chain_menu.Enable(self.batch_on)
212
213	self.menu1.AppendSeparator()
214	self.edit_model_menu = wx.Menu()
215	# Find and put files name in menu
216	try:
217	self.set_edit_menu(owner=owner)
218	except:
219	raise
220
221	self.id_edit = wx.NewId()
222	editmodel_help = "Edit customized model sample file"
223	self.menu1.AppendMenu(self.id_edit, "Plugin Model Operations",
224	self.edit_model_menu, editmodel_help)
225	#create menubar items
226	return [(self.menu1, self.sub_menu)]
227
228	def edit_custom_model(self, event):
229	"""
230	Get the python editor panel
231	"""
232	event_id = event.GetId()
233	label = self.edit_menu.GetLabel(event_id)
234	from sas.sasgui.perspectives.calculator.pyconsole import PyConsole
235	filename = os.path.join(models.find_plugins_dir(), label)
236	frame = PyConsole(parent=self.parent, manager=self,
237	panel=self.fit_panel,
238	title='Advanced Plugin Model Editor',
239	filename=filename)
240	self.put_icon(frame)
241	frame.Show(True)
242
243	def delete_custom_model(self, event):
244	"""
245	Delete custom model file
246	"""
247	event_id = event.GetId()
248	label = self.delete_menu.GetLabel(event_id)
249	toks = os.path.splitext(label)
250	path = os.path.join(models.find_plugins_dir(), toks[0])
251	try:
252	for ext in ['.py', '.pyc']:
253	p_path = path + ext
254	os.remove(p_path)
255	self.update_custom_combo()
256	if os.path.isfile(p_path):
257	msg = "Sorry! Could not be able to delete the default "
258	msg += "custom model... \n"
259	msg += "Please manually remove the files (.py, .pyc) "
260	msg += "in the 'plugin_models' folder \n"
261	msg += "inside of the SasView application, "
262	msg += "and try it again."
263	wx.MessageBox(msg, 'Info')
264	#evt = StatusEvent(status=msg, type='stop', info='warning')
265	#wx.PostEvent(self.parent, evt)
266	else:
267	self.delete_menu.Delete(event_id)
268	for item in self.edit_menu.GetMenuItems():
269	if item.GetLabel() == label:
270	self.edit_menu.DeleteItem(item)
271	msg = "The custom model, %s, has been deleted." % label
272	evt = StatusEvent(status=msg, type='stop', info='info')
273	wx.PostEvent(self.parent, evt)
274	break
275	except Exception:
276	import traceback; traceback.print_exc()
277	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
278	wx.MessageBox(msg, 'Error')
279
280	def make_sum_model(self, event):
281	"""
282	Edit summodel template and make one
283	"""
284	event_id = event.GetId()
285	model_manager = models.ModelManager()
286	model_list = model_manager.get_model_name_list()
287	plug_dir = models.find_plugins_dir()
288	textdial = TextDialog(None, self, wx.ID_ANY, 'Easy Sum/Multi(p1, p2) Editor',
289	model_list, plug_dir)
290	self.put_icon(textdial)
291	textdial.ShowModal()
292	textdial.Destroy()
293
294	def make_new_model(self, event):
295	"""
296	Make new model
297	"""
298	if self.new_model_frame != None:
299	self.new_model_frame.Show(False)
300	self.new_model_frame.Show(True)
301	else:
302	event_id = event.GetId()
303	dir_path = models.find_plugins_dir()
304	title = "New Plugin Model Function"
305	self.new_model_frame = EditorWindow(parent=self, base=self,
306	path=dir_path, title=title)
307	self.put_icon(self.new_model_frame)
308	self.new_model_frame.Show(True)
309
310	def load_plugin_models(self, event):
311	"""
312	Update of models in plugin_models folder
313	"""
314	event_id = event.GetId()
315	self.update_custom_combo()
316
317	def update_custom_combo(self):
318	"""
319	Update custom model list in the fitpage combo box
320	"""
321	custom_model = 'Plugin Models'
322	try:
323	# Update edit menus
324	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
325	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
326	temp = self.fit_panel.reset_pmodel_list()
327	if temp:
328	# Set the new custom model list for all fit pages
329	for uid, page in self.fit_panel.opened_pages.iteritems():
330	if hasattr(page, "formfactorbox"):
331	page.model_list_box = temp
332	current_val = page.formfactorbox.GetLabel()
333	#if page.plugin_rbutton.GetValue():
334	mod_cat = page.categorybox.GetStringSelection()
335	if mod_cat == custom_model:
336	#pos = page.formfactorbox.GetSelection()
337	page._show_combox_helper()
338	new_val = page.formfactorbox.GetLabel()
339	if current_val != new_val and new_val != '':
340	page.formfactorbox.SetLabel(new_val)
341	else:
342	page.formfactorbox.SetLabel(current_val)
343	except:
344	logging.error("update_custom_combo: %s", sys.exc_value)
345
346	def set_edit_menu(self, owner):
347	"""
348	Set list of the edit model menu labels
349	"""
350	wx_id = wx.NewId()
351	#new_model_menu = wx.Menu()
352	self.edit_model_menu.Append(wx_id, 'New Plugin Model',
353	'Add a new model function')
354	wx.EVT_MENU(owner, wx_id, self.make_new_model)
355
356	wx_id = wx.NewId()
357	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
358	'Sum of two model functions')
359	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
360
361	e_id = wx.NewId()
362	self.edit_menu = wx.Menu()
363	self.edit_model_menu.AppendMenu(e_id,
364	'Advanced Plugin Editor', self.edit_menu)
365	self.set_edit_menu_helper(owner, self.edit_custom_model)
366
367	d_id = wx.NewId()
368	self.delete_menu = wx.Menu()
369	self.edit_model_menu.AppendMenu(d_id,
370	'Delete Plugin Models', self.delete_menu)
371	self.set_edit_menu_helper(owner, self.delete_custom_model)
372
373	wx_id = wx.NewId()
374	self.edit_model_menu.Append(wx_id, 'Load Plugin Models',
375	'(Re)Load all models present in user plugin_models folder')
376	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
377
378	def set_edit_menu_helper(self, owner=None, menu=None):
379	"""
380	help for setting list of the edit model menu labels
381	"""
382	if menu == None:
383	menu = self.edit_custom_model
384	list_fnames = os.listdir(models.find_plugins_dir())
385	list_fnames.sort()
386	for f_item in list_fnames:
387	name = os.path.basename(f_item)
388	toks = os.path.splitext(name)
389	if toks[-1] == '.py' and not toks[0] == '__init__':
390	if menu == self.edit_custom_model:
391	if toks[0] == 'easy_sum_of_p1_p2':
392	continue
393	submenu = self.edit_menu
394	else:
395	submenu = self.delete_menu
396	has_file = False
397	for item in submenu.GetMenuItems():
398	if name == submenu.GetLabel(item.GetId()):
399	has_file = True
400	if not has_file:
401	wx_id = wx.NewId()
402	submenu.Append(wx_id, name)
403	wx.EVT_MENU(owner, wx_id, menu)
404	has_file = False
405
406	def put_icon(self, frame):
407	"""
408	Put icon in the frame title bar
409	"""
410	if hasattr(frame, "IsIconized"):
411	if not frame.IsIconized():
412	try:
413	icon = self.parent.GetIcon()
414	frame.SetIcon(icon)
415	except:
416	pass
417
418	def on_add_sim_page(self, event):
419	"""
420	Create a page to access simultaneous fit option
421	"""
422	event_id = event.GetId()
423	caption = "Const & Simul Fit"
424	page = self.sim_page
425	if event_id == self.id_batchfit:
426	caption = "Combined Batch"
427	page = self.batch_page
428
429	def set_focus_page(page):
430	page.Show(True)
431	page.Refresh()
432	page.SetFocus()
433	#self.parent._mgr.Update()
434	msg = "%s already opened\n" % str(page.window_caption)
435	wx.PostEvent(self.parent, StatusEvent(status=msg))
436
437	if page != None:
438	return set_focus_page(page)
439	if caption == "Const & Simul Fit":
440	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
441	else:
442	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
443
444	def get_context_menu(self, plotpanel=None):
445	"""
446	Get the context menu items available for P(r).them allow fitting option
447	for Data2D and Data1D only.
448
449	:param graph: the Graph object to which we attach the context menu
450
451	:return: a list of menu items with call-back function
452
453	:note: if Data1D was generated from Theory1D
454	the fitting option is not allowed
455
456	"""
457	self.plot_panel = plotpanel
458	graph = plotpanel.graph
459	fit_option = "Select data for fitting"
460	fit_hint = "Dialog with fitting parameters "
461
462	if graph.selected_plottable not in plotpanel.plots:
463	return []
464	item = plotpanel.plots[graph.selected_plottable]
465	if item.__class__.__name__ is "Data2D":
466	if hasattr(item, "is_data"):
467	if item.is_data:
468	return [[fit_option, fit_hint, self._onSelect]]
469	else:
470	return []
471	return [[fit_option, fit_hint, self._onSelect]]
472	else:
473
474	# if is_data is true , this in an actual data loaded
475	#else it is a data created from a theory model
476	if hasattr(item, "is_data"):
477	if item.is_data:
478	return [[fit_option, fit_hint, self._onSelect]]
479	else:
480	return []
481	return [[fit_option, fit_hint, self._onSelect]]
482	return []
483
484	def get_panels(self, parent):
485	"""
486	Create and return a list of panel objects
487	"""
488	self.parent = parent
489	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
490	# Creation of the fit panel
491	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
492	self.fit_panel = FitPanel(parent=self.frame, manager=self)
493	self.frame.set_panel(self.fit_panel)
494	self._frame_set_helper()
495	self.on_add_new_page(event=None)
496	#Set the manager for the main panel
497	self.fit_panel.set_manager(self)
498	# List of windows used for the perspective
499	self.perspective = []
500	self.perspective.append(self.fit_panel.window_name)
501
502	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
503	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
504	self.perspective.append(self.result_panel.window_name)
505
506	#index number to create random model name
507	self.index_model = 0
508	self.index_theory = 0
509	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
510	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
511
512	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
513	if EVT_FITTER_CHANGED is not None:
514	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
515	self._set_fitter_label(bumps.options.FIT_CONFIG)
516
517	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
518	#Create reader when fitting panel are created
519	self.state_reader = Reader(self.set_state)
520	#append that reader to list of available reader
521	loader = Loader()
522	loader.associate_file_reader(".fitv", self.state_reader)
523	#Send the fitting panel to guiframe
524	self.mypanels.append(self.fit_panel)
525	self.mypanels.append(self.result_panel)
526	return self.mypanels
527
528	def clear_panel(self):
529	"""
530	"""
531	self.fit_panel.clear_panel()
532
533	def delete_data(self, data):
534	"""
535	delete the given data from panel
536	"""
537	self.fit_panel.delete_data(data)
538
539	def set_data(self, data_list=None):
540	"""
541	receive a list of data to fit
542	"""
543	if data_list is None:
544	data_list = []
545	selected_data_list = []
546	if self.batch_on:
547	self.add_fit_page(data=data_list)
548	else:
549	if len(data_list) > MAX_NBR_DATA:
550	from fitting_widgets import DataDialog
551	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
552	if dlg.ShowModal() == wx.ID_OK:
553	selected_data_list = dlg.get_data()
554	dlg.Destroy()
555
556	else:
557	selected_data_list = data_list
558	try:
559	group_id = wx.NewId()
560	for data in selected_data_list:
561	if data is not None:
562	# 2D has no same group_id
563	if data.__class__.__name__ == 'Data2D':
564	group_id = wx.NewId()
565	data.group_id = group_id
566	if group_id not in data.list_group_id:
567	data.list_group_id.append(group_id)
568	self.add_fit_page(data=[data])
569	except:
570	msg = "Fitting set_data: " + str(sys.exc_value)
571	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
572
573	def set_theory(self, theory_list=None):
574	"""
575	"""
576	#set the model state for a given theory_state:
577	for item in theory_list:
578	try:
579	_, theory_state = item
580	self.fit_panel.set_model_state(theory_state)
581	except Exception:
582	msg = "Fitting: cannot deal with the theory received"
583	evt = StatusEvent(status=msg, info="error")
584	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
585	wx.PostEvent(self.parent, evt)
586
587	def set_state(self, state=None, datainfo=None, format=None):
588	"""
589	Call-back method for the fit page state reader.
590	This method is called when a .fitv/.svs file is loaded.
591
592	: param state: PageState object
593	: param datainfo: data
594	"""
595	from pagestate import PageState
596	from simfitpage import SimFitPageState
597	if isinstance(state, PageState):
598	state = state.clone()
599	self.temp_state.append(state)
600	elif isinstance(state, SimFitPageState):
601	state.load_from_save_state(self)
602	else:
603	self.temp_state = []
604	# index to start with for a new set_state
605	self.state_index = 0
606	# state file format
607	self.sfile_ext = format
608
609	self.on_set_state_helper(event=None)
610
611	def on_set_state_helper(self, event=None):
612	"""
613	Set_state_helper. This actually sets state
614	after plotting data from state file.
615
616	: event: FitStateUpdateEvent called
617	by dataloader.plot_data from guiframe
618	"""
619	if len(self.temp_state) == 0:
620	if self.state_index == 0 and len(self.mypanels) <= 0 \
621	and self.sfile_ext == '.svs':
622	self.temp_state = []
623	self.state_index = 0
624	return
625
626	try:
627	# Load fitting state
628	state = self.temp_state[self.state_index]
629	#panel state should have model selection to set_state
630	if state.formfactorcombobox != None:
631	#set state
632	data = self.parent.create_gui_data(state.data)
633	data.group_id = state.data.group_id
634	self.parent.add_data(data_list={data.id: data})
635	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
636	title=data.title))
637	#need to be fix later make sure we are sendind guiframe.data
638	#to panel
639	state.data = data
640	page = self.fit_panel.set_state(state)
641	else:
642	#just set data because set_state won't work
643	data = self.parent.create_gui_data(state.data)
644	data.group_id = state.data.group_id
645	self.parent.add_data(data_list={data.id: data})
646	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
647	title=data.title))
648	page = self.add_fit_page([data])
649	caption = page.window_caption
650	self.store_data(uid=page.uid, data_list=page.get_data_list(),
651	caption=caption)
652	self.mypanels.append(page)
653
654	# get ready for the next set_state
655	self.state_index += 1
656
657	#reset state variables to default when all set_state is finished.
658	if len(self.temp_state) == self.state_index:
659
660	self.temp_state = []
661	#self.state_index = 0
662	# Make sure the user sees the fitting panel after loading
663	#self.parent.set_perspective(self.perspective)
664	self.on_perspective(event=None)
665	except:
666	self.state_index = 0
667	self.temp_state = []
668	raise
669
670	def set_param2fit(self, uid, param2fit):
671	"""
672	Set the list of param names to fit for fitprobelm
673	"""
674	self.page_finder[uid].set_param2fit(param2fit)
675
676	def set_graph_id(self, uid, graph_id):
677	"""
678	Set graph_id for fitprobelm
679	"""
680	self.page_finder[uid].set_graph_id(graph_id)
681
682	def get_graph_id(self, uid):
683	"""
684	Set graph_id for fitprobelm
685	"""
686	return self.page_finder[uid].get_graph_id()
687
688	def save_fit_state(self, filepath, fitstate):
689	"""
690	save fit page state into file
691	"""
692	self.state_reader.write(filename=filepath, fitstate=fitstate)
693
694	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
695	"""
696	Set the fit weights 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 weight: current dy data
702	"""
703	# If we are not dealing with a specific fit problem, then
704	# there is no point setting the weights.
705	if fid is None:
706	return
707	if uid in self.page_finder.keys():
708	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
709
710	def set_fit_range(self, uid, qmin, qmax, fid=None):
711	"""
712	Set the fitting range of a given page for all
713	its data by default. If fid is provide then set the range
714	only for the data with fid as id
715	:param uid: id corresponding to a fit page
716	:param fid: id corresponding to a fit problem (data, model)
717	:param qmin: minimum value of the fit range
718	:param qmax: maximum value of the fit range
719	"""
720	if uid in self.page_finder.keys():
721	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
722
723	def schedule_for_fit(self, value=0, uid=None):
724	"""
725	Set the fit problem field to 0 or 1 to schedule that problem to fit.
726	Schedule the specified fitproblem or get the fit problem related to
727	the current page and set value.
728	:param value: integer 0 or 1
729	:param uid: the id related to a page contaning fitting information
730	"""
731	if uid in self.page_finder.keys():
732	self.page_finder[uid].schedule_tofit(value)
733
734	def get_page_finder(self):
735	"""
736	return self.page_finder used also by simfitpage.py
737	"""
738	return self.page_finder
739
740	def set_page_finder(self, modelname, names, values):
741	"""
742	Used by simfitpage.py to reset a parameter given the string constrainst.
743
744	:param modelname: the name ot the model for with the parameter
745	has to reset
746	:param value: can be a string in this case.
747	:param names: the paramter name
748	"""
749	sim_page_id = self.sim_page.uid
750	for uid, value in self.page_finder.iteritems():
751	if uid != sim_page_id and uid != self.batch_page.uid:
752	model_list = value.get_model()
753	model = model_list[0]
754	if model.name == modelname:
755	value.set_model_param(names, values)
756	break
757
758	def split_string(self, item):
759	"""
760	receive a word containing dot and split it. used to split parameterset
761	name into model name and parameter name example: ::
762
763	paramaterset (item) = M1.A
764	Will return model_name = M1 , parameter name = A
765
766	"""
767	if item.find(".") >= 0:
768	param_names = re.split("\.", item)
769	model_name = param_names[0]
770	##Assume max len is 3; eg., M0.radius.width
771	if len(param_names) == 3:
772	param_name = param_names[1] + "." + param_names[2]
773	else:
774	param_name = param_names[1]
775	return model_name, param_name
776
777	def on_bumps_options(self, event=None):
778	"""
779	Open the bumps options panel.
780	"""
781	show_fit_config(self.parent, help=self.on_help)
782
783	def on_fitter_changed(self, event):
784	self._set_fitter_label(event.config)
785
786	def _set_fitter_label(self, config):
787	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
788	+ " - Active Fitting Optimizer: "
789	+ config.selected_name)
790
791	def on_help(self, algorithm_id):
792	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
793	_anchor = "#fit-"+algorithm_id
794	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
795
796
797	def on_fit_results(self, event=None):
798	"""
799	Make the Fit Results panel visible.
800	"""
801	self.result_frame.Show()
802	self.result_frame.Raise()
803
804	def stop_fit(self, uid):
805	"""
806	Stop the fit
807	"""
808	if uid in self.fit_thread_list.keys():
809	calc_fit = self.fit_thread_list[uid]
810	if calc_fit is not None and calc_fit.isrunning():
811	calc_fit.stop()
812	msg = "Fit stop!"
813	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
814	del self.fit_thread_list[uid]
815	#set the fit button label of page when fit stop is trigger from
816	#simultaneous fit pane
817	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
818	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
819	if sim_flag or batch_flag:
820	for uid, value in self.page_finder.iteritems():
821	if value.get_scheduled() == 1:
822	if uid in self.fit_panel.opened_pages.keys():
823	panel = self.fit_panel.opened_pages[uid]
824	panel._on_fit_complete()
825
826	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
827	enable_smearer=False):
828	"""
829	Get a smear object and store it to a fit problem of fid as id. If proper
830	flag is enable , will plot the theory with smearing information.
831
832	:param smearer: smear object to allow smearing data of id fid
833	:param enable_smearer: Define whether or not all (data, model) contained
834	in the structure of id uid will be smeared before fitting.
835	:param qmin: the maximum value of the theory plotting range
836	:param qmax: the maximum value of the theory plotting range
837	:param draw: Determine if the theory needs to be plot
838	"""
839	if uid not in self.page_finder.keys():
840	return
841	self.page_finder[uid].enable_smearing(flag=enable_smearer)
842	self.page_finder[uid].set_smearer(smearer, fid=fid)
843	if draw:
844	## draw model 1D with smeared data
845	data = self.page_finder[uid].get_fit_data(fid=fid)
846	if data is None:
847	msg = "set_mearer requires at least data.\n"
848	msg += "Got data = %s .\n" % str(data)
849	return
850	#raise ValueError, msg
851	model = self.page_finder[uid].get_model(fid=fid)
852	if model is None:
853	return
854	enable1D = issubclass(data.__class__, Data1D)
855	enable2D = issubclass(data.__class__, Data2D)
856	## if user has already selected a model to plot
857	## redraw the model with data smeared
858	smear = self.page_finder[uid].get_smearer(fid=fid)
859
860	# compute weight for the current data
861	weight = self.page_finder[uid].get_weight(fid=fid)
862
863	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
864	enable1D=enable1D, enable2D=enable2D,
865	qmin=qmin, qmax=qmax, weight=weight)
866
867	def _mac_sleep(self, sec=0.2):
868	"""
869	Give sleep to MAC
870	"""
871	if ON_MAC:
872	time.sleep(sec)
873
874	def draw_model(self, model, page_id, data=None, smearer=None,
875	enable1D=True, enable2D=False,
876	state=None,
877	fid=None,
878	toggle_mode_on=False,
879	qmin=None, qmax=None,
880	update_chisqr=True, weight=None, source='model'):
881	"""
882	Draw model.
883
884	:param model: the model to draw
885	:param name: the name of the model to draw
886	:param data: the data on which the model is based to be drawn
887	:param description: model's description
888	:param enable1D: if true enable drawing model 1D
889	:param enable2D: if true enable drawing model 2D
890	:param qmin: Range's minimum value to draw model
891	:param qmax: Range's maximum value to draw model
892	:param qstep: number of step to divide the x and y-axis
893	:param update_chisqr: update chisqr [bool]
894
895	"""
896	#self.weight = weight
897	if issubclass(data.__class__, Data1D) or not enable2D:
898	## draw model 1D with no loaded data
899	self._draw_model1D(model=model,
900	data=data,
901	page_id=page_id,
902	enable1D=enable1D,
903	smearer=smearer,
904	qmin=qmin,
905	qmax=qmax,
906	fid=fid,
907	weight=weight,
908	toggle_mode_on=toggle_mode_on,
909	state=state,
910	update_chisqr=update_chisqr,
911	source=source)
912	else:
913	## draw model 2D with no initial data
914	self._draw_model2D(model=model,
915	page_id=page_id,
916	data=data,
917	enable2D=enable2D,
918	smearer=smearer,
919	qmin=qmin,
920	qmax=qmax,
921	fid=fid,
922	weight=weight,
923	state=state,
924	toggle_mode_on=toggle_mode_on,
925	update_chisqr=update_chisqr,
926	source=source)
927
928	def onFit(self, uid):
929	"""
930	Get series of data, model, associates parameters and range and send then
931	to series of fitters. Fit data and model, display result to
932	corresponding panels.
933	:param uid: id related to the panel currently calling this fit function.
934	"""
935	if uid is None: raise RuntimeError("no page to fit") # Should never happen
936
937	sim_page_uid = getattr(self.sim_page, 'uid', None)
938	batch_page_uid = getattr(self.batch_page, 'uid', None)
939
940	if uid == sim_page_uid:
941	fit_type = 'simultaneous'
942	elif uid == batch_page_uid:
943	fit_type = 'combined_batch'
944	else:
945	fit_type = 'single'
946
947	fitter_list = []
948	sim_fitter = None
949	if fit_type == 'simultaneous':
950	# for simultaneous fitting only one fitter is needed
951	sim_fitter = Fit()
952	sim_fitter.fitter_id = self.sim_page.uid
953	fitter_list.append(sim_fitter)
954
955	self.current_pg = None
956	list_page_id = []
957	fit_id = 0
958	for page_id, page_info in self.page_finder.iteritems():
959	# For simulfit (uid give with None), do for-loop
960	# if uid is specified (singlefit), do it only on the page.
961	if page_id in (sim_page_uid, batch_page_uid): continue
962	if fit_type == "single" and page_id != uid: continue
963
964	try:
965	if page_info.get_scheduled() == 1:
966	page_info.nbr_residuals_computed = 0
967	page = self.fit_panel.get_page_by_id(page_id)
968	self.set_fit_weight(uid=page.uid,
969	flag=page.get_weight_flag(),
970	is2d=page._is_2D())
971	if not page.param_toFit:
972	msg = "No fitting parameters for %s" % page.window_caption
973	evt = StatusEvent(status=msg, info="error", type="stop")
974	wx.PostEvent(page.parent.parent, evt)
975	return False
976	if not page._update_paramv_on_fit():
977	msg = "Fitting range or parameter values are"
978	msg += " invalid in %s" % \
979	page.window_caption
980	evt = StatusEvent(status=msg, info="error", type="stop")
981	wx.PostEvent(page.parent.parent, evt)
982	return False
983
984	pars = [str(element[1]) for element in page.param_toFit]
985	fitproblem_list = page_info.values()
986	for fitproblem in fitproblem_list:
987	if sim_fitter is None:
988	fitter = Fit()
989	fitter.fitter_id = page_id
990	fitter_list.append(fitter)
991	else:
992	fitter = sim_fitter
993	self._add_problem_to_fit(fitproblem=fitproblem,
994	pars=pars,
995	fitter=fitter,
996	fit_id=fit_id)
997	fit_id += 1
998	list_page_id.append(page_id)
999	page_info.clear_model_param()
1000	except KeyboardInterrupt:
1001	msg = "Fitting terminated"
1002	evt = StatusEvent(status=msg, info="info", type="stop")
1003	wx.PostEvent(self.parent, evt)
1004	return True
1005	except:
1006	raise
1007	msg = "Fitting error: %s" % str(sys.exc_value)
1008	evt = StatusEvent(status=msg, info="error", type="stop")
1009	wx.PostEvent(self.parent, evt)
1010	return False
1011	## If a thread is already started, stop it
1012	#if self.calc_fit!= None and self.calc_fit.isrunning():
1013	# self.calc_fit.stop()
1014	msg = "Fitting is in progress..."
1015	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
1016
1017	#Handler used to display fit message
1018	handler = ConsoleUpdate(parent=self.parent,
1019	manager=self,
1020	improvement_delta=0.1)
1021	self._mac_sleep(0.2)
1022
1023	# batch fit
1024	batch_inputs = {}
1025	batch_outputs = {}
1026	if fit_type == "simultaneous":
1027	page = self.sim_page
1028	elif fit_type == "combined_batch":
1029	page = self.batch_page
1030	else:
1031	page = self.fit_panel.get_page_by_id(uid)
1032	if page.batch_on:
1033	calc_fit = FitThread(handler=handler,
1034	fn=fitter_list,
1035	pars=pars,
1036	batch_inputs=batch_inputs,
1037	batch_outputs=batch_outputs,
1038	page_id=list_page_id,
1039	completefn=self._batch_fit_complete,
1040	reset_flag=self.batch_reset_flag)
1041	else:
1042	## Perform more than 1 fit at the time
1043	calc_fit = FitThread(handler=handler,
1044	fn=fitter_list,
1045	batch_inputs=batch_inputs,
1046	batch_outputs=batch_outputs,
1047	page_id=list_page_id,
1048	updatefn=handler.update_fit,
1049	completefn=self._fit_completed)
1050	#self.fit_thread_list[current_page_id] = calc_fit
1051	self.fit_thread_list[uid] = calc_fit
1052	calc_fit.queue()
1053	calc_fit.ready(2.5)
1054	msg = "Fitting is in progress..."
1055	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
1056
1057	return True
1058
1059	def remove_plot(self, uid, fid=None, theory=False):
1060	"""
1061	remove model plot when a fit page is closed
1062	:param uid: the id related to the fitpage to close
1063	:param fid: the id of the fitproblem(data, model, range,etc)
1064	"""
1065	if uid not in self.page_finder.keys():
1066	return
1067	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
1068	for fitproblem in fitproblemList:
1069	data = fitproblem.get_fit_data()
1070	model = fitproblem.get_model()
1071	plot_id = None
1072	if model is not None:
1073	plot_id = data.id + model.name
1074	if theory:
1075	plot_id = data.id + model.name
1076	group_id = data.group_id
1077	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
1078	group_id=group_id,
1079	action='remove'))
1080
1081	def store_data(self, uid, data_list=None, caption=None):
1082	"""
1083	Recieve a list of data and store them ans well as a caption of
1084	the fit page where they come from.
1085	:param uid: if related to a fit page
1086	:param data_list: list of data to fit
1087	:param caption: caption of the window related to these data
1088	"""
1089	if data_list is None:
1090	data_list = []
1091
1092	self.page_finder[uid].set_fit_data(data=data_list)
1093	if caption is not None:
1094	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1095
1096	def on_add_new_page(self, event=None):
1097	"""
1098	ask fit panel to create a new empty page
1099	"""
1100	try:
1101	page = self.fit_panel.add_empty_page()
1102	# add data associated to the page created
1103	if page != None:
1104	evt = StatusEvent(status="Page Created", info="info")
1105	wx.PostEvent(self.parent, evt)
1106	else:
1107	msg = "Page was already Created"
1108	evt = StatusEvent(status=msg, info="warning")
1109	wx.PostEvent(self.parent, evt)
1110	except:
1111	msg = "Creating Fit page: %s" % sys.exc_value
1112	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
1113
1114	def add_fit_page(self, data):
1115	"""
1116	given a data, ask to the fitting panel to create a new fitting page,
1117	get this page and store it into the page_finder of this plug-in
1118	:param data: is a list of data
1119	"""
1120	page = self.fit_panel.set_data(data)
1121	# page could be None when loading state files
1122	if page == None:
1123	return page
1124	#append Data1D to the panel containing its theory
1125	#if theory already plotted
1126	if page.uid in self.page_finder:
1127	data = page.get_data()
1128	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
1129	if issubclass(data.__class__, Data2D):
1130	data.group_id = wx.NewId()
1131	if theory_data is not None:
1132	group_id = str(page.uid) + " Model1D"
1133	wx.PostEvent(self.parent,
1134	NewPlotEvent(group_id=group_id,
1135	action="delete"))
1136	self.parent.update_data(prev_data=theory_data,
1137	new_data=data)
1138	else:
1139	if theory_data is not None:
1140	group_id = str(page.uid) + " Model2D"
1141	data.group_id = theory_data.group_id
1142	wx.PostEvent(self.parent,
1143	NewPlotEvent(group_id=group_id,
1144	action="delete"))
1145	self.parent.update_data(prev_data=theory_data,
1146	new_data=data)
1147	self.store_data(uid=page.uid, data_list=page.get_data_list(),
1148	caption=page.window_caption)
1149	if self.sim_page is not None and not self.batch_on:
1150	self.sim_page.draw_page()
1151	if self.batch_page is not None and self.batch_on:
1152	self.batch_page.draw_page()
1153
1154	return page
1155
1156	def _onEVT_SLICER_PANEL(self, event):
1157	"""
1158	receive and event telling to update a panel with a name starting with
1159	event.panel_name. this method update slicer panel
1160	for a given interactor.
1161
1162	:param event: contains type of slicer , paramaters for updating
1163	the panel and panel_name to find the slicer 's panel concerned.
1164	"""
1165	event.panel_name
1166	for item in self.parent.panels:
1167	name = event.panel_name
1168	if self.parent.panels[item].window_caption.startswith(name):
1169	self.parent.panels[item].set_slicer(event.type, event.params)
1170
1171	#self.parent._mgr.Update()
1172
1173	def _closed_fitpage(self, event):
1174	"""
1175	request fitpanel to close a given page when its unique data is removed
1176	from the plot. close fitpage only when the a loaded data is removed
1177	"""
1178	if event is None or event.data is None:
1179	return
1180	if hasattr(event.data, "is_data"):
1181	if not event.data.is_data or \
1182	event.data.__class__.__name__ == "Data1D":
1183	self.fit_panel.close_page_with_data(event.data)
1184
1185	def _reset_schedule_problem(self, value=0, uid=None):
1186	"""
1187	unschedule or schedule all fitproblem to be fit
1188	"""
1189	# case that uid is not specified
1190	if uid == None:
1191	for page_id in self.page_finder.keys():
1192	self.page_finder[page_id].schedule_tofit(value)
1193	# when uid is given
1194	else:
1195	if uid in self.page_finder.keys():
1196	self.page_finder[uid].schedule_tofit(value)
1197
1198	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
1199	"""
1200	Create and set fitter with series of data and model
1201	"""
1202	data = fitproblem.get_fit_data()
1203	model = fitproblem.get_model()
1204	smearer = fitproblem.get_smearer()
1205	qmin, qmax = fitproblem.get_range()
1206
1207	#Extra list of parameters and their constraints
1208	listOfConstraint = []
1209	param = fitproblem.get_model_param()
1210	if len(param) > 0:
1211	for item in param:
1212	## check if constraint
1213	if item[0] != None and item[1] != None:
1214	listOfConstraint.append((item[0], item[1]))
1215	new_model = model
1216	fitter.set_model(new_model, fit_id, pars, data=data,
1217	constraints=listOfConstraint)
1218	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
1219	qmax=qmax)
1220	fitter.select_problem_for_fit(id=fit_id, value=1)
1221
1222	def _onSelect(self, event):
1223	"""
1224	when Select data to fit a new page is created .Its reference is
1225	added to self.page_finder
1226	"""
1227	panel = self.plot_panel
1228	if panel == None:
1229	raise ValueError, "Fitting:_onSelect: NonType panel"
1230	Plugin.on_perspective(self, event=event)
1231	self.select_data(panel)
1232
1233	def select_data(self, panel):
1234	"""
1235	"""
1236	for plottable in panel.graph.plottables:
1237	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
1238	data_id = panel.graph.selected_plottable
1239	if plottable == panel.plots[data_id]:
1240	data = plottable
1241	self.add_fit_page(data=[data])
1242	return
1243	else:
1244	data = plottable
1245	self.add_fit_page(data=[data])
1246
1247	def update_fit(self, result=None, msg=""):
1248	"""
1249	"""
1250	print "update_fit result", result
1251
1252	def _batch_fit_complete(self, result, pars, page_id,
1253	batch_outputs, batch_inputs, elapsed=None):
1254	"""
1255	Display fit result in batch
1256	:param result: list of objects received from fitters
1257	:param pars: list of fitted parameters names
1258	:param page_id: list of page ids which called fit function
1259	:param elapsed: time spent at the fitting level
1260	"""
1261	self._mac_sleep(0.2)
1262	uid = page_id[0]
1263	if uid in self.fit_thread_list.keys():
1264	del self.fit_thread_list[uid]
1265
1266	wx.CallAfter(self._update_fit_button, page_id)
1267	t1 = time.time()
1268	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1269	msg = "Fit completed on %s \n" % str_time
1270	msg += "Duration time: %s s.\n" % str(elapsed)
1271	evt = StatusEvent(status=msg, info="info", type="stop")
1272	wx.PostEvent(self.parent, evt)
1273
1274	if batch_outputs is None:
1275	batch_outputs = {}
1276
1277	# format batch_outputs
1278	batch_outputs["Chi2"] = []
1279	#Don't like these loops
1280	# Need to create dictionary of all fitted parameters
1281	# since the number of parameters can differ between each fit result
1282	for list_res in result:
1283	for res in list_res:
1284	model, data = res.inputs[0]
1285	if model is not None and hasattr(model, "model"):
1286	model = model.model
1287	#get all fittable parameters of the current model
1288	for param in model.getParamList():
1289	if param not in batch_outputs.keys():
1290	batch_outputs[param] = []
1291	for param in model.getDispParamList():
1292	if not model.is_fittable(param) and \
1293	param in batch_outputs.keys():
1294	del batch_outputs[param]
1295	# Add fitted parameters and their error
1296	for param in res.param_list:
1297	if param not in batch_outputs.keys():
1298	batch_outputs[param] = []
1299	err_param = "error on %s" % str(param)
1300	if err_param not in batch_inputs.keys():
1301	batch_inputs[err_param] = []
1302	msg = ""
1303	for list_res in result:
1304	for res in list_res:
1305	pid = res.fitter_id
1306	model, data = res.inputs[0]
1307	correct_result = False
1308	if model is not None and hasattr(model, "model"):
1309	model = model.model
1310	if data is not None and hasattr(data, "sas_data"):
1311	data = data.sas_data
1312
1313	is_data2d = issubclass(data.__class__, Data2D)
1314	#check consistency of arrays
1315	if not is_data2d:
1316	if len(res.theory) == len(res.index[res.index]) and \
1317	len(res.index) == len(data.y):
1318	correct_result = True
1319	else:
1320	copy_data = deepcopy(data)
1321	new_theory = copy_data.data
1322	new_theory[res.index] = res.theory
1323	new_theory[res.index == False] = numpy.nan
1324	correct_result = True
1325	#get all fittable parameters of the current model
1326	param_list = model.getParamList()
1327	for param in model.getDispParamList():
1328	if not model.is_fittable(param) and \
1329	param in param_list:
1330	param_list.remove(param)
1331	if not correct_result or res.fitness is None or \
1332	not numpy.isfinite(res.fitness) or \
1333	numpy.any(res.pvec == None) or not \
1334	numpy.all(numpy.isfinite(res.pvec)):
1335	data_name = str(None)
1336	if data is not None:
1337	data_name = str(data.name)
1338	model_name = str(None)
1339	if model is not None:
1340	model_name = str(model.name)
1341	msg += "Data %s and Model %s did not fit.\n" % (data_name,
1342	model_name)
1343	ERROR = numpy.NAN
1344	cell = BatchCell()
1345	cell.label = res.fitness
1346	cell.value = res.fitness
1347	batch_outputs["Chi2"].append(ERROR)
1348	for param in param_list:
1349	# save value of fixed parameters
1350	if param not in res.param_list:
1351	batch_outputs[str(param)].append(ERROR)
1352	else:
1353	#save only fitted values
1354	batch_outputs[param].append(ERROR)
1355	batch_inputs["error on %s" % str(param)].append(ERROR)
1356	else:
1357	# TODO: Why sometimes res.pvec comes with numpy.float64?
1358	# probably from scipy lmfit
1359	if res.pvec.__class__ == numpy.float64:
1360	res.pvec = [res.pvec]
1361
1362	cell = BatchCell()
1363	cell.label = res.fitness
1364	cell.value = res.fitness
1365	batch_outputs["Chi2"].append(cell)
1366	# add parameters to batch_results
1367	for param in param_list:
1368	# save value of fixed parameters
1369	if param not in res.param_list:
1370	batch_outputs[str(param)].append(model.getParam(param))
1371	else:
1372	index = res.param_list.index(param)
1373	#save only fitted values
1374	batch_outputs[param].append(res.pvec[index])
1375	if res.stderr is not None and \
1376	len(res.stderr) == len(res.param_list):
1377	item = res.stderr[index]
1378	batch_inputs["error on %s" % param].append(item)
1379	else:
1380	batch_inputs["error on %s" % param].append('-')
1381	model.setParam(param, res.pvec[index])
1382	#fill the batch result with emtpy value if not in the current
1383	#model
1384	EMPTY = "-"
1385	for key in batch_outputs.keys():
1386	if key not in param_list and key not in ["Chi2", "Data"]:
1387	batch_outputs[key].append(EMPTY)
1388
1389	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
1390	batch_outputs=batch_outputs)
1391
1392	cpage = self.fit_panel.get_page_by_id(pid)
1393	cpage._on_fit_complete()
1394	self.page_finder[pid][data.id].set_result(res)
1395	fitproblem = self.page_finder[pid][data.id]
1396	qmin, qmax = fitproblem.get_range()
1397	plot_result = False
1398	if correct_result:
1399	if not is_data2d:
1400	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
1401	elapsed=None,
1402	index=res.index, model=model,
1403	weight=None, fid=data.id,
1404	toggle_mode_on=False, state=None,
1405	data=data, update_chisqr=False,
1406	source='fit', plot_result=plot_result)
1407	else:
1408	self._complete2D(image=new_theory, data=data,
1409	model=model,
1410	page_id=pid, elapsed=None,
1411	index=res.index,
1412	qmin=qmin,
1413	qmax=qmax, fid=data.id, weight=None,
1414	toggle_mode_on=False, state=None,
1415	update_chisqr=False,
1416	source='fit', plot_result=plot_result)
1417	self.on_set_batch_result(page_id=pid,
1418	fid=data.id,
1419	batch_outputs=batch_outputs,
1420	batch_inputs=batch_inputs)
1421
1422	evt = StatusEvent(status=msg, error="info", type="stop")
1423	wx.PostEvent(self.parent, evt)
1424	# Remove parameters that are not shown
1425	cpage = self.fit_panel.get_page_by_id(uid)
1426	tbatch_outputs = {}
1427	shownkeystr = cpage.get_copy_params()
1428	for key in batch_outputs.keys():
1429	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
1430	tbatch_outputs[key] = batch_outputs[key]
1431
1432	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
1433	batch_inputs, self.sub_menu)
1434
1435	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
1436	"""
1437	"""
1438	pid = page_id
1439	if fid not in self.page_finder[pid]:
1440	return
1441	fitproblem = self.page_finder[pid][fid]
1442	index = self.page_finder[pid].nbr_residuals_computed - 1
1443	residuals = fitproblem.get_residuals()
1444	theory_data = fitproblem.get_theory_data()
1445	data = fitproblem.get_fit_data()
1446	model = fitproblem.get_model()
1447	#fill batch result information
1448	if "Data" not in batch_outputs.keys():
1449	batch_outputs["Data"] = []
1450	from sas.sasgui.guiframe.data_processor import BatchCell
1451	cell = BatchCell()
1452	cell.label = data.name
1453	cell.value = index
1454
1455	if theory_data != None:
1456	#Suucessful fit
1457	theory_data.id = wx.NewId()
1458	theory_data.name = model.name + "[%s]" % str(data.name)
1459	if issubclass(theory_data.__class__, Data2D):
1460	group_id = wx.NewId()
1461	theory_data.group_id = group_id
1462	if group_id not in theory_data.list_group_id:
1463	theory_data.list_group_id.append(group_id)
1464
1465	try:
1466	# associate residuals plot
1467	if issubclass(residuals.__class__, Data2D):
1468	group_id = wx.NewId()
1469	residuals.group_id = group_id
1470	if group_id not in residuals.list_group_id:
1471	residuals.list_group_id.append(group_id)
1472	batch_outputs["Chi2"][index].object = [residuals]
1473	except:
1474	pass
1475
1476	cell.object = [data, theory_data]
1477	batch_outputs["Data"].append(cell)
1478	for key, value in data.meta_data.iteritems():
1479	if key not in batch_inputs.keys():
1480	batch_inputs[key] = []
1481	#if key.lower().strip() != "loader":
1482	batch_inputs[key].append(value)
1483	param = "temperature"
1484	if hasattr(data.sample, param):
1485	if param not in batch_inputs.keys():
1486	batch_inputs[param] = []
1487	batch_inputs[param].append(data.sample.temperature)
1488
1489	def _fit_completed(self, result, page_id, batch_outputs,
1490	batch_inputs=None, pars=None, elapsed=None):
1491	"""
1492	Display result of the fit on related panel(s).
1493	:param result: list of object generated when fit ends
1494	:param pars: list of names of parameters fitted
1495	:param page_id: list of page ids which called fit function
1496	:param elapsed: time spent at the fitting level
1497	"""
1498	t1 = time.time()
1499	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1500	msg = "Fit completed on %s \n" % str_time
1501	msg += "Duration time: %s s.\n" % str(elapsed)
1502	evt = StatusEvent(status=msg, info="info", type="stop")
1503	wx.PostEvent(self.parent, evt)
1504	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
1505	wx.CallAfter(self._update_fit_button, page_id)
1506	result = result[0]
1507	self.fit_thread_list = {}
1508	if page_id is None:
1509	page_id = []
1510	## fit more than 1 model at the same time
1511	self._mac_sleep(0.2)
1512	try:
1513	index = 0
1514	# Update potential simfit page(s)
1515	if self.sim_page is not None:
1516	self.sim_page._on_fit_complete()
1517	if self.batch_page:
1518	self.batch_page._on_fit_complete()
1519	# Update all fit pages
1520	for uid in page_id:
1521	res = result[index]
1522	if res.fitness is None or \
1523	not numpy.isfinite(res.fitness) or \
1524	numpy.any(res.pvec == None) or \
1525	not numpy.all(numpy.isfinite(res.pvec)):
1526	msg = "Fitting did not converge!!!"
1527	evt = StatusEvent(status=msg, info="warning", type="stop")
1528	wx.PostEvent(self.parent, evt)
1529	wx.CallAfter(self._update_fit_button, page_id)
1530	else:
1531	#set the panel when fit result are float not list
1532	if res.pvec.__class__ == numpy.float64:
1533	pvec = [res.pvec]
1534	else:
1535	pvec = res.pvec
1536	if res.stderr.__class__ == numpy.float64:
1537	stderr = [res.stderr]
1538	else:
1539	stderr = res.stderr
1540	cpage = self.fit_panel.get_page_by_id(uid)
1541	# Make sure we got all results
1542	#(CallAfter is important to MAC)
1543	try:
1544	#if res != None:
1545	wx.CallAfter(cpage.onsetValues, res.fitness,
1546	res.param_list,
1547	pvec, stderr)
1548	index += 1
1549	wx.CallAfter(cpage._on_fit_complete)
1550	except KeyboardInterrupt:
1551	msg = "Singular point: Fitting Stoped."
1552	evt = StatusEvent(status=msg, info="info", type="stop")
1553	wx.PostEvent(self.parent, evt)
1554	except:
1555	msg = "Singular point: Fitting Error occurred."
1556	evt = StatusEvent(status=msg, info="error", type="stop")
1557	wx.PostEvent(self.parent, evt)
1558
1559	except:
1560	msg = ("Fit completed but the following error occurred: %s"
1561	% sys.exc_value)
1562	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
1563	evt = StatusEvent(status=msg, info="warning", type="stop")
1564	wx.PostEvent(self.parent, evt)
1565
1566	def _update_fit_button(self, page_id):
1567	"""
1568	Update Fit button when fit stopped
1569
1570	: parameter page_id: fitpage where the button is
1571	"""
1572	if page_id.__class__.__name__ != 'list':
1573	page_id = [page_id]
1574	for uid in page_id:
1575	page = self.fit_panel.get_page_by_id(uid)
1576	page._on_fit_complete()
1577
1578	def _on_show_panel(self, event):
1579	"""
1580	"""
1581	pass
1582
1583	def on_reset_batch_flag(self, event):
1584	"""
1585	Set batch_reset_flag
1586	"""
1587	event.Skip()
1588	if self.menu1 == None:
1589	return
1590	menu_item = self.menu1.FindItemById(self.id_reset_flag)
1591	flag = menu_item.IsChecked()
1592	if not flag:
1593	menu_item.Check(False)
1594	self.batch_reset_flag = True
1595	else:
1596	menu_item.Check(True)
1597	self.batch_reset_flag = False
1598
1599	## post a message to status bar
1600	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
1601	wx.PostEvent(self.parent, StatusEvent(status=msg))
1602
1603
1604	def _on_slicer_event(self, event):
1605	"""
1606	Receive a panel as event and send it to guiframe
1607
1608	:param event: event containing a panel
1609
1610	"""
1611	if event.panel is not None:
1612	self.slicer_panels.append(event.panel)
1613	# Set group ID if available
1614	event_id = self.parent.popup_panel(event.panel)
1615	event.panel.uid = event_id
1616	self.mypanels.append(event.panel)
1617
1618	def _onclearslicer(self, event):
1619	"""
1620	Clear the boxslicer when close the panel associate with this slicer
1621	"""
1622	name = event.GetEventObject().frame.GetTitle()
1623	for panel in self.slicer_panels:
1624	if panel.window_caption == name:
1625
1626	for item in self.parent.panels:
1627	if hasattr(self.parent.panels[item], "uid"):
1628	if self.parent.panels[item].uid == panel.base.uid:
1629	self.parent.panels[item].onClearSlicer(event)
1630	#self.parent._mgr.Update()
1631	break
1632	break
1633
1634	def _on_model_panel(self, evt):
1635	"""
1636	react to model selection on any combo box or model menu.plot the model
1637
1638	:param evt: wx.combobox event
1639
1640	"""
1641	model = evt.model
1642	uid = evt.uid
1643	qmin = evt.qmin
1644	qmax = evt.qmax
1645	caption = evt.caption
1646	enable_smearer = evt.enable_smearer
1647	if model == None:
1648	return
1649	if uid not in self.page_finder.keys():
1650	return
1651	# save the name containing the data name with the appropriate model
1652	self.page_finder[uid].set_model(model)
1653	self.page_finder[uid].enable_smearing(enable_smearer)
1654	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1655	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1656	if self.sim_page is not None and not self.batch_on:
1657	self.sim_page.draw_page()
1658	if self.batch_page is not None and self.batch_on:
1659	self.batch_page.draw_page()
1660
1661	def _update1D(self, x, output):
1662	"""
1663	Update the output of plotting model 1D
1664	"""
1665	msg = "Plot updating ... "
1666	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
1667
1668	def create_theory_1D(self, x, y, page_id, model, data, state,
1669	data_description, data_id, dy=None):
1670	"""
1671	Create a theory object associate with an existing Data1D
1672	and add it to the data manager.
1673	@param x: x-values of the data
1674	@param y: y_values of the data
1675	@param page_id: fit page ID
1676	@param model: model used for fitting
1677	@param data: Data1D object to create the theory for
1678	@param state: model state
1679	@param data_description: title to use in the data manager
1680	@param data_id: unique data ID
1681	"""
1682	new_plot = Data1D(x=x, y=y)
1683	if dy is None:
1684	new_plot.is_data = False
1685	new_plot.dy = numpy.zeros(len(y))
1686	# If this is a theory curve, pick the proper symbol to make it a curve
1687	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1688	else:
1689	new_plot.is_data = True
1690	new_plot.dy = dy
1691	new_plot.interactive = True
1692	new_plot.dx = None
1693	new_plot.dxl = None
1694	new_plot.dxw = None
1695	_yaxis, _yunit = data.get_yaxis()
1696	_xaxis, _xunit = data.get_xaxis()
1697	new_plot.title = data.name
1698	new_plot.group_id = data.group_id
1699	if new_plot.group_id == None:
1700	new_plot.group_id = data.group_id
1701	new_plot.id = data_id
1702	# Find if this theory was already plotted and replace that plot given
1703	# the same id
1704	self.page_finder[page_id].get_theory_data(fid=data.id)
1705
1706	if data.is_data:
1707	data_name = str(data.name)
1708	else:
1709	data_name = str(model.__class__.__name__)
1710
1711	new_plot.name = data_description + " [" + data_name + "]"
1712	new_plot.xaxis(_xaxis, _xunit)
1713	new_plot.yaxis(_yaxis, _yunit)
1714	self.page_finder[page_id].set_theory_data(data=new_plot,
1715	fid=data.id)
1716	self.parent.update_theory(data_id=data.id, theory=new_plot,
1717	state=state)
1718	return new_plot
1719
1720	def _complete1D(self, x, y, page_id, elapsed, index, model,
1721	weight=None, fid=None,
1722	toggle_mode_on=False, state=None,
1723	data=None, update_chisqr=True,
1724	source='model', plot_result=True,
1725	unsmeared_model=None, unsmeared_data=None,
1726	unsmeared_error=None, sq_model=None, pq_model=None):
1727	"""
1728	Complete plotting 1D data
1729	@param unsmeared_model: fit model, without smearing
1730	@param unsmeared_data: data, rescaled to unsmeared model
1731	@param unsmeared_error: data error, rescaled to unsmeared model
1732	"""
1733	try:
1734	numpy.nan_to_num(y)
1735	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
1736	data_description=model.name,
1737	data_id=str(page_id) + " " + data.name)
1738	if unsmeared_model is not None:
1739	self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
1740	data_description=model.name + " unsmeared",
1741	data_id=str(page_id) + " " + data.name + " unsmeared")
1742
1743	if unsmeared_data is not None and unsmeared_error is not None:
1744	self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
1745	data_description="Data unsmeared",
1746	data_id="Data " + data.name + " unsmeared",
1747	dy=unsmeared_error)
1748
1749	if sq_model is not None and pq_model is not None:
1750	self.create_theory_1D(x, sq_model, page_id, model, data, state,
1751	data_description=model.name + " S(q)",
1752	data_id=str(page_id) + " " + data.name + " S(q)")
1753	self.create_theory_1D(x, pq_model, page_id, model, data, state,
1754	data_description=model.name + " P(q)",
1755	data_id=str(page_id) + " " + data.name + " P(q)")
1756
1757
1758	current_pg = self.fit_panel.get_page_by_id(page_id)
1759	title = new_plot.title
1760	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1761	if not batch_on:
1762	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1763	title=str(title)))
1764	elif plot_result:
1765	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
1766	if data.id == top_data_id:
1767	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1768	title=str(title)))
1769	caption = current_pg.window_caption
1770	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
1771
1772	self.page_finder[page_id].set_theory_data(data=new_plot,
1773	fid=data.id)
1774	if toggle_mode_on:
1775	wx.PostEvent(self.parent,
1776	NewPlotEvent(group_id=str(page_id) + " Model2D",
1777	action="Hide"))
1778	else:
1779	if update_chisqr:
1780	wx.PostEvent(current_pg,
1781	Chi2UpdateEvent(output=self._cal_chisqr(
1782	data=data,
1783	fid=fid,
1784	weight=weight,
1785	page_id=page_id,
1786	index=index)))
1787	else:
1788	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1789	index=index, weight=weight)
1790
1791	msg = "Computation completed!"
1792	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1793	except:
1794	raise
1795
1796	def _calc_exception(self, etype, value, tb):
1797	"""
1798	Handle exception from calculator by posting it as an error.
1799	"""
1800	logging.error("".join(traceback.format_exception(etype, value, tb)))
1801	msg = traceback.format_exception(etype, value, tb, limit=1)
1802	evt = StatusEvent(status="".join(msg), type="stop", info="error")
1803	wx.PostEvent(self.parent, evt)
1804
1805	def _update2D(self, output, time=None):
1806	"""
1807	Update the output of plotting model
1808	"""
1809	msg = "Plot updating ... "
1810	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
1811
1812	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1813	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
1814	update_chisqr=True, source='model', plot_result=True):
1815	"""
1816	Complete get the result of modelthread and create model 2D
1817	that can be plot.
1818	"""
1819	numpy.nan_to_num(image)
1820	new_plot = Data2D(image=image, err_image=data.err_data)
1821	new_plot.name = model.name + '2d'
1822	new_plot.title = "Analytical model 2D "
1823	new_plot.id = str(page_id) + " " + data.name
1824	new_plot.group_id = str(page_id) + " Model2D"
1825	new_plot.detector = data.detector
1826	new_plot.source = data.source
1827	new_plot.is_data = False
1828	new_plot.qx_data = data.qx_data
1829	new_plot.qy_data = data.qy_data
1830	new_plot.q_data = data.q_data
1831	new_plot.mask = data.mask
1832	## plot boundaries
1833	new_plot.ymin = data.ymin
1834	new_plot.ymax = data.ymax
1835	new_plot.xmin = data.xmin
1836	new_plot.xmax = data.xmax
1837	title = data.title
1838
1839	new_plot.is_data = False
1840	if data.is_data:
1841	data_name = str(data.name)
1842	else:
1843	data_name = str(model.__class__.__name__) + '2d'
1844
1845	if len(title) > 1:
1846	new_plot.title = "Model2D for %s " % model.name + data_name
1847	new_plot.name = model.name + " [" + \
1848	data_name + "]"
1849	theory_data = deepcopy(new_plot)
1850
1851	self.page_finder[page_id].set_theory_data(data=theory_data,
1852	fid=data.id)
1853	self.parent.update_theory(data_id=data.id,
1854	theory=new_plot,
1855	state=state)
1856	current_pg = self.fit_panel.get_page_by_id(page_id)
1857	title = new_plot.title
1858	if not source == 'fit' and plot_result:
1859	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1860	title=title))
1861	if toggle_mode_on:
1862	wx.PostEvent(self.parent,
1863	NewPlotEvent(group_id=str(page_id) + " Model1D",
1864	action="Hide"))
1865	else:
1866	# Chisqr in fitpage
1867	if update_chisqr:
1868	wx.PostEvent(current_pg,
1869	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1870	weight=weight,
1871	fid=fid,
1872	page_id=page_id,
1873	index=index)))
1874	else:
1875	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1876	index=index, weight=weight)
1877	msg = "Computation completed!"
1878	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1879
1880	def _draw_model2D(self, model, page_id, qmin,
1881	qmax,
1882	data=None, smearer=None,
1883	description=None, enable2D=False,
1884	state=None,
1885	fid=None,
1886	weight=None,
1887	toggle_mode_on=False,
1888	update_chisqr=True, source='model'):
1889	"""
1890	draw model in 2D
1891
1892	:param model: instance of the model to draw
1893	:param description: the description of the model
1894	:param enable2D: when True allows to draw model 2D
1895	:param qmin: the minimum value to draw model 2D
1896	:param qmax: the maximum value to draw model 2D
1897	:param qstep: the number of division of Qx and Qy of the model to draw
1898
1899	"""
1900	if not enable2D:
1901	return None
1902	try:
1903	from model_thread import Calc2D
1904	## If a thread is already started, stop it
1905	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1906	self.calc_2D.stop()
1907	## stop just raises a flag to tell the thread to kill
1908	## itself -- see the fix in Calc1D implemented to fix
1909	## an actual problem. Seems the fix should also go here
1910	## and may be the cause of other noted instabilities
1911	##
1912	## -PDB August 12, 2014
1913	while self.calc_2D.isrunning():
1914	time.sleep(0.1)
1915	self.calc_2D = Calc2D(model=model,
1916	data=data,
1917	page_id=page_id,
1918	smearer=smearer,
1919	qmin=qmin,
1920	qmax=qmax,
1921	weight=weight,
1922	fid=fid,
1923	toggle_mode_on=toggle_mode_on,
1924	state=state,
1925	completefn=self._complete2D,
1926	update_chisqr=update_chisqr,
1927	exception_handler=self._calc_exception,
1928	source=source)
1929	self.calc_2D.queue()
1930	except:
1931	raise
1932
1933	def _draw_model1D(self, model, page_id, data,
1934	qmin, qmax, smearer=None,
1935	state=None,
1936	weight=None,
1937	fid=None,
1938	toggle_mode_on=False, update_chisqr=True, source='model',
1939	enable1D=True):
1940	"""
1941	Draw model 1D from loaded data1D
1942
1943	:param data: loaded data
1944	:param model: the model to plot
1945
1946	"""
1947	if not enable1D:
1948	return
1949	try:
1950	from model_thread import Calc1D
1951	## If a thread is already started, stop it
1952	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1953	self.calc_1D.stop()
1954	## stop just raises the flag -- the thread is supposed to
1955	## then kill itself but cannot. Paul Kienzle came up with
1956	## this fix to prevent threads from stepping on each other
1957	## which was causing a simple custom model to crash Sasview.
1958	## We still don't know why the fit sometimes lauched a second
1959	## thread -- something which should also be investigated.
1960	## The thread approach was implemented in order to be able
1961	## to lauch a computation in a separate thread from the GUI so
1962	## that the GUI can still respond to user input including
1963	## a request to stop the computation.
1964	## It seems thus that the whole thread approach used here
1965	## May need rethinking
1966	##
1967	## -PDB August 12, 2014
1968	while self.calc_1D.isrunning():
1969	time.sleep(0.1)
1970	self.calc_1D = Calc1D(data=data,
1971	model=model,
1972	page_id=page_id,
1973	qmin=qmin,
1974	qmax=qmax,
1975	smearer=smearer,
1976	state=state,
1977	weight=weight,
1978	fid=fid,
1979	toggle_mode_on=toggle_mode_on,
1980	completefn=self._complete1D,
1981	#updatefn = self._update1D,
1982	update_chisqr=update_chisqr,
1983	exception_handler=self._calc_exception,
1984	source=source)
1985	self.calc_1D.queue()
1986	except:
1987	msg = " Error occurred when drawing %s Model 1D: " % model.name
1988	msg += " %s" % sys.exc_value
1989	wx.PostEvent(self.parent, StatusEvent(status=msg))
1990
1991	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
1992	"""
1993	Get handy Chisqr using the output from draw1D and 2D,
1994	instead of calling expansive CalcChisqr in guithread
1995	"""
1996	try:
1997	data_copy = deepcopy(data)
1998	except:
1999	return
2000	# default chisqr
2001	chisqr = None
2002	#to compute chisq make sure data has valid data
2003	# return None if data == None
2004	if not check_data_validity(data_copy) or data_copy == None:
2005	return chisqr
2006
2007	# Get data: data I, theory I, and data dI in order
2008	if data_copy.__class__.__name__ == "Data2D":
2009	if index == None:
2010	index = numpy.ones(len(data_copy.data), dtype=bool)
2011	if weight != None:
2012	data_copy.err_data = weight
2013	# get rid of zero error points
2014	index = index & (data_copy.err_data != 0)
2015	index = index & (numpy.isfinite(data_copy.data))
2016	fn = data_copy.data[index]
2017	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2018	if theory_data == None:
2019	return chisqr
2020	gn = theory_data.data[index]
2021	en = data_copy.err_data[index]
2022	else:
2023	# 1 d theory from model_thread is only in the range of index
2024	if index == None:
2025	index = numpy.ones(len(data_copy.y), dtype=bool)
2026	if weight != None:
2027	data_copy.dy = weight
2028	if data_copy.dy == None or data_copy.dy == []:
2029	dy = numpy.ones(len(data_copy.y))
2030	else:
2031	## Set consistently w/AbstractFitengine:
2032	# But this should be corrected later.
2033	dy = deepcopy(data_copy.dy)
2034	dy[dy == 0] = 1
2035	fn = data_copy.y[index]
2036
2037	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2038	if theory_data == None:
2039	return chisqr
2040	gn = theory_data.y
2041	en = dy[index]
2042
2043	# residual
2044	try:
2045	res = (fn - gn) / en
2046	except ValueError:
2047	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
2048	return
2049
2050	residuals = res[numpy.isfinite(res)]
2051	# get chisqr only w/finite
2052	chisqr = numpy.average(residuals * residuals)
2053
2054	self._plot_residuals(page_id=page_id, data=data_copy,
2055	fid=fid,
2056	weight=weight, index=index)
2057
2058	return chisqr
2059
2060	def _plot_residuals(self, page_id, weight, fid=None,
2061	data=None, index=None):
2062	"""
2063	Plot the residuals
2064
2065	:param data: data
2066	:param index: index array (bool)
2067	: Note: this is different from the residuals in cal_chisqr()
2068	"""
2069	data_copy = deepcopy(data)
2070	# Get data: data I, theory I, and data dI in order
2071	if data_copy.__class__.__name__ == "Data2D":
2072	# build residuals
2073	residuals = Data2D()
2074	#residuals.copy_from_datainfo(data)
2075	# Not for trunk the line below, instead use the line above
2076	data_copy.clone_without_data(len(data_copy.data), residuals)
2077	residuals.data = None
2078	fn = data_copy.data
2079	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2080	gn = theory_data.data
2081	if weight == None:
2082	en = data_copy.err_data
2083	else:
2084	en = weight
2085	residuals.data = (fn - gn) / en
2086	residuals.qx_data = data_copy.qx_data
2087	residuals.qy_data = data_copy.qy_data
2088	residuals.q_data = data_copy.q_data
2089	residuals.err_data = numpy.ones(len(residuals.data))
2090	residuals.xmin = min(residuals.qx_data)
2091	residuals.xmax = max(residuals.qx_data)
2092	residuals.ymin = min(residuals.qy_data)
2093	residuals.ymax = max(residuals.qy_data)
2094	residuals.q_data = data_copy.q_data
2095	residuals.mask = data_copy.mask
2096	residuals.scale = 'linear'
2097	# check the lengths
2098	if len(residuals.data) != len(residuals.q_data):
2099	return
2100	else:
2101	# 1 d theory from model_thread is only in the range of index
2102	if data_copy.dy == None or data_copy.dy == []:
2103	dy = numpy.ones(len(data_copy.y))
2104	else:
2105	if weight == None:
2106	dy = numpy.ones(len(data_copy.y))
2107	## Set consitently w/AbstractFitengine:
2108	## But this should be corrected later.
2109	else:
2110	dy = weight
2111	dy[dy == 0] = 1
2112	fn = data_copy.y[index]
2113	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2114	gn = theory_data.y
2115	en = dy[index]
2116	# build residuals
2117	residuals = Data1D()
2118	try:
2119	residuals.y = (fn - gn) / en
2120	except:
2121	msg = "ResidualPlot Error: different # of data points in theory"
2122	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
2123	residuals.y = (fn - gn[index]) / en
2124	residuals.x = data_copy.x[index]
2125	residuals.dy = numpy.ones(len(residuals.y))
2126	residuals.dx = None
2127	residuals.dxl = None
2128	residuals.dxw = None
2129	residuals.ytransform = 'y'
2130	# For latter scale changes
2131	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
2132	residuals.yaxis('\\rm{Residuals} ', 'normalized')
2133	theory_name = str(theory_data.name.split()[0])
2134	new_plot = residuals
2135	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
2136	str(data.name) + "]"
2137	## allow to highlight data when plotted
2138	new_plot.interactive = True
2139	## when 2 data have the same id override the 1 st plotted
2140	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
2141	##group_id specify on which panel to plot this data
2142	group_id = self.page_finder[page_id].get_graph_id()
2143	if group_id == None:
2144	group_id = data.group_id
2145	new_plot.group_id = "res" + str(group_id)
2146	#new_plot.is_data = True
2147	##post data to plot
2148	title = new_plot.name
2149	self.page_finder[page_id].set_residuals(residuals=new_plot,
2150	fid=data.id)
2151	self.parent.update_theory(data_id=data.id, theory=new_plot)
2152	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
2153	if not batch_on:
2154	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ 012e397

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