fitting.py @ d4e7ca0

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 d4e7ca0 was 7673ecd, checked in by Paul Kienzle <pkienzle@…>, 8 years ago
refactor support for sum model; put tracebacks in logging errors
Property mode set to `100755`
File size: 85.1 KB

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1	"""
2	Fitting perspective
3	"""
4	################################################################################
5	#This software was developed by the University of Tennessee as part of the
6	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
7	#project funded by the US National Science Foundation.
8	#
9	#See the license text in license.txt
10	#
11	#copyright 2009, University of Tennessee
12	################################################################################
13	import re
14	import sys
15	import os
16	import wx
17	import logging
18	import numpy
19	import time
20	from copy import deepcopy
21	import 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, "Edit Custom Model",
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 Custom 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 Custom 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 = 'Customized 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	pass
345
346
347	def set_edit_menu(self, owner):
348	"""
349	Set list of the edit model menu labels
350	"""
351	wx_id = wx.NewId()
352	#new_model_menu = wx.Menu()
353	self.edit_model_menu.Append(wx_id, 'New',
354	'Add a new model function')
355	wx.EVT_MENU(owner, wx_id, self.make_new_model)
356
357	wx_id = wx.NewId()
358	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
359	'Sum of two model functions')
360	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
361
362	e_id = wx.NewId()
363	self.edit_menu = wx.Menu()
364	self.edit_model_menu.AppendMenu(e_id,
365	'Advanced', self.edit_menu)
366	self.set_edit_menu_helper(owner, self.edit_custom_model)
367
368	d_id = wx.NewId()
369	self.delete_menu = wx.Menu()
370	self.edit_model_menu.AppendMenu(d_id,
371	'Delete', self.delete_menu)
372	self.set_edit_menu_helper(owner, self.delete_custom_model)
373
374	wx_id = wx.NewId()
375	self.edit_model_menu.Append(wx_id, 'Load Models',
376	'(Re)Load all models present in user plugin_models folder')
377	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
378
379	def set_edit_menu_helper(self, owner=None, menu=None):
380	"""
381	help for setting list of the edit model menu labels
382	"""
383	if menu == None:
384	menu = self.edit_custom_model
385	list_fnames = os.listdir(models.find_plugins_dir())
386	list_fnames.sort()
387	for f_item in list_fnames:
388	name = os.path.basename(f_item)
389	toks = os.path.splitext(name)
390	if toks[-1] == '.py' and not toks[0] == '__init__':
391	if menu == self.edit_custom_model:
392	if toks[0] == 'easy_sum_of_p1_p2':
393	continue
394	submenu = self.edit_menu
395	else:
396	submenu = self.delete_menu
397	has_file = False
398	for item in submenu.GetMenuItems():
399	if name == submenu.GetLabel(item.GetId()):
400	has_file = True
401	if not has_file:
402	wx_id = wx.NewId()
403	submenu.Append(wx_id, name)
404	wx.EVT_MENU(owner, wx_id, menu)
405	has_file = False
406
407	def put_icon(self, frame):
408	"""
409	Put icon in the frame title bar
410	"""
411	if hasattr(frame, "IsIconized"):
412	if not frame.IsIconized():
413	try:
414	icon = self.parent.GetIcon()
415	frame.SetIcon(icon)
416	except:
417	pass
418
419	def on_add_sim_page(self, event):
420	"""
421	Create a page to access simultaneous fit option
422	"""
423	event_id = event.GetId()
424	caption = "Const & Simul Fit"
425	page = self.sim_page
426	if event_id == self.id_batchfit:
427	caption = "Combined Batch"
428	page = self.batch_page
429
430	def set_focus_page(page):
431	page.Show(True)
432	page.Refresh()
433	page.SetFocus()
434	#self.parent._mgr.Update()
435	msg = "%s already opened\n" % str(page.window_caption)
436	wx.PostEvent(self.parent, StatusEvent(status=msg))
437
438	if page != None:
439	return set_focus_page(page)
440	if caption == "Const & Simul Fit":
441	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
442	else:
443	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
444
445	def get_context_menu(self, plotpanel=None):
446	"""
447	Get the context menu items available for P(r).them allow fitting option
448	for Data2D and Data1D only.
449
450	:param graph: the Graph object to which we attach the context menu
451
452	:return: a list of menu items with call-back function
453
454	:note: if Data1D was generated from Theory1D
455	the fitting option is not allowed
456
457	"""
458	self.plot_panel = plotpanel
459	graph = plotpanel.graph
460	fit_option = "Select data for fitting"
461	fit_hint = "Dialog with fitting parameters "
462
463	if graph.selected_plottable not in plotpanel.plots:
464	return []
465	item = plotpanel.plots[graph.selected_plottable]
466	if item.__class__.__name__ is "Data2D":
467	if hasattr(item, "is_data"):
468	if item.is_data:
469	return [[fit_option, fit_hint, self._onSelect]]
470	else:
471	return []
472	return [[fit_option, fit_hint, self._onSelect]]
473	else:
474
475	# if is_data is true , this in an actual data loaded
476	#else it is a data created from a theory model
477	if hasattr(item, "is_data"):
478	if item.is_data:
479	return [[fit_option, fit_hint, self._onSelect]]
480	else:
481	return []
482	return [[fit_option, fit_hint, self._onSelect]]
483	return []
484
485	def get_panels(self, parent):
486	"""
487	Create and return a list of panel objects
488	"""
489	self.parent = parent
490	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
491	# Creation of the fit panel
492	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
493	self.fit_panel = FitPanel(parent=self.frame, manager=self)
494	self.frame.set_panel(self.fit_panel)
495	self._frame_set_helper()
496	self.on_add_new_page(event=None)
497	#Set the manager for the main panel
498	self.fit_panel.set_manager(self)
499	# List of windows used for the perspective
500	self.perspective = []
501	self.perspective.append(self.fit_panel.window_name)
502
503	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
504	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
505	self.perspective.append(self.result_panel.window_name)
506
507	#index number to create random model name
508	self.index_model = 0
509	self.index_theory = 0
510	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
511	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
512
513	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
514	if EVT_FITTER_CHANGED is not None:
515	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
516	self._set_fitter_label(bumps.options.FIT_CONFIG)
517
518	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
519	#Create reader when fitting panel are created
520	self.state_reader = Reader(self.set_state)
521	#append that reader to list of available reader
522	loader = Loader()
523	loader.associate_file_reader(".fitv", self.state_reader)
524	#Send the fitting panel to guiframe
525	self.mypanels.append(self.fit_panel)
526	self.mypanels.append(self.result_panel)
527	return self.mypanels
528
529	def clear_panel(self):
530	"""
531	"""
532	self.fit_panel.clear_panel()
533
534	def delete_data(self, data):
535	"""
536	delete the given data from panel
537	"""
538	self.fit_panel.delete_data(data)
539
540	def set_data(self, data_list=None):
541	"""
542	receive a list of data to fit
543	"""
544	if data_list is None:
545	data_list = []
546	selected_data_list = []
547	if self.batch_on:
548	self.add_fit_page(data=data_list)
549	else:
550	if len(data_list) > MAX_NBR_DATA:
551	from fitting_widgets import DataDialog
552	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
553	if dlg.ShowModal() == wx.ID_OK:
554	selected_data_list = dlg.get_data()
555	dlg.Destroy()
556
557	else:
558	selected_data_list = data_list
559	try:
560	group_id = wx.NewId()
561	for data in selected_data_list:
562	if data is not None:
563	# 2D has no same group_id
564	if data.__class__.__name__ == 'Data2D':
565	group_id = wx.NewId()
566	data.group_id = group_id
567	if group_id not in data.list_group_id:
568	data.list_group_id.append(group_id)
569	self.add_fit_page(data=[data])
570	except:
571	msg = "Fitting set_data: " + str(sys.exc_value)
572	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
573
574	def set_theory(self, theory_list=None):
575	"""
576	"""
577	#set the model state for a given theory_state:
578	for item in theory_list:
579	try:
580	_, theory_state = item
581	self.fit_panel.set_model_state(theory_state)
582	except Exception:
583	msg = "Fitting: cannot deal with the theory received"
584	evt = StatusEvent(status=msg, info="error")
585	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
586	wx.PostEvent(self.parent, evt)
587
588	def set_state(self, state=None, datainfo=None, format=None):
589	"""
590	Call-back method for the fit page state reader.
591	This method is called when a .fitv/.svs file is loaded.
592
593	: param state: PageState object
594	: param datainfo: data
595	"""
596	#state = self.state_reader.get_state()
597	if state != None:
598	state = state.clone()
599	# store fitting state in temp_state
600	self.temp_state.append(state)
601	else:
602	self.temp_state = []
603	# index to start with for a new set_state
604	self.state_index = 0
605	# state file format
606	self.sfile_ext = format
607
608	self.on_set_state_helper(event=None)
609
610	def on_set_state_helper(self, event=None):
611	"""
612	Set_state_helper. This actually sets state
613	after plotting data from state file.
614
615	: event: FitStateUpdateEvent called
616	by dataloader.plot_data from guiframe
617	"""
618	if len(self.temp_state) == 0:
619	if self.state_index == 0 and len(self.mypanels) <= 0 \
620	and self.sfile_ext == '.svs':
621	self.temp_state = []
622	self.state_index = 0
623	return
624
625	try:
626	# Load fitting state
627	state = self.temp_state[self.state_index]
628	#panel state should have model selection to set_state
629	if state.formfactorcombobox != None:
630	#set state
631	data = self.parent.create_gui_data(state.data)
632	data.group_id = state.data.group_id
633	self.parent.add_data(data_list={data.id: data})
634	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
635	title=data.title))
636	#need to be fix later make sure we are sendind guiframe.data
637	#to panel
638	state.data = data
639	page = self.fit_panel.set_state(state)
640	else:
641	#just set data because set_state won't work
642	data = self.parent.create_gui_data(state.data)
643	data.group_id = state.data.group_id
644	self.parent.add_data(data_list={data.id: data})
645	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
646	title=data.title))
647	page = self.add_fit_page([data])
648	caption = page.window_caption
649	self.store_data(uid=page.uid, data_list=page.get_data_list(),
650	caption=caption)
651	self.mypanels.append(page)
652
653	# get ready for the next set_state
654	self.state_index += 1
655
656	#reset state variables to default when all set_state is finished.
657	if len(self.temp_state) == self.state_index:
658
659	self.temp_state = []
660	#self.state_index = 0
661	# Make sure the user sees the fitting panel after loading
662	#self.parent.set_perspective(self.perspective)
663	self.on_perspective(event=None)
664	except:
665	self.state_index = 0
666	self.temp_state = []
667	raise
668
669	def set_param2fit(self, uid, param2fit):
670	"""
671	Set the list of param names to fit for fitprobelm
672	"""
673	self.page_finder[uid].set_param2fit(param2fit)
674
675	def set_graph_id(self, uid, graph_id):
676	"""
677	Set graph_id for fitprobelm
678	"""
679	self.page_finder[uid].set_graph_id(graph_id)
680
681	def get_graph_id(self, uid):
682	"""
683	Set graph_id for fitprobelm
684	"""
685	return self.page_finder[uid].get_graph_id()
686
687	def save_fit_state(self, filepath, fitstate):
688	"""
689	save fit page state into file
690	"""
691	self.state_reader.write(filename=filepath, fitstate=fitstate)
692
693	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
694	"""
695	Set the fit weights of a given page for all
696	its data by default. If fid is provide then set the range
697	only for the data with fid as id
698	:param uid: id corresponding to a fit page
699	:param fid: id corresponding to a fit problem (data, model)
700	:param weight: current dy data
701	"""
702	# If we are not dealing with a specific fit problem, then
703	# there is no point setting the weights.
704	if fid is None:
705	return
706	if uid in self.page_finder.keys():
707	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
708
709	def set_fit_range(self, uid, qmin, qmax, fid=None):
710	"""
711	Set the fitting range of a given page for all
712	its data by default. If fid is provide then set the range
713	only for the data with fid as id
714	:param uid: id corresponding to a fit page
715	:param fid: id corresponding to a fit problem (data, model)
716	:param qmin: minimum value of the fit range
717	:param qmax: maximum value of the fit range
718	"""
719	if uid in self.page_finder.keys():
720	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
721
722	def schedule_for_fit(self, value=0, uid=None):
723	"""
724	Set the fit problem field to 0 or 1 to schedule that problem to fit.
725	Schedule the specified fitproblem or get the fit problem related to
726	the current page and set value.
727	:param value: integer 0 or 1
728	:param uid: the id related to a page contaning fitting information
729	"""
730	if uid in self.page_finder.keys():
731	self.page_finder[uid].schedule_tofit(value)
732
733	def get_page_finder(self):
734	"""
735	return self.page_finder used also by simfitpage.py
736	"""
737	return self.page_finder
738
739	def set_page_finder(self, modelname, names, values):
740	"""
741	Used by simfitpage.py to reset a parameter given the string constrainst.
742
743	:param modelname: the name ot the model for with the parameter
744	has to reset
745	:param value: can be a string in this case.
746	:param names: the paramter name
747	"""
748	sim_page_id = self.sim_page.uid
749	for uid, value in self.page_finder.iteritems():
750	if uid != sim_page_id and uid != self.batch_page.uid:
751	model_list = value.get_model()
752	model = model_list[0]
753	if model.name == modelname:
754	value.set_model_param(names, values)
755	break
756
757	def split_string(self, item):
758	"""
759	receive a word containing dot and split it. used to split parameterset
760	name into model name and parameter name example: ::
761
762	paramaterset (item) = M1.A
763	Will return model_name = M1 , parameter name = A
764
765	"""
766	if item.find(".") >= 0:
767	param_names = re.split("\.", item)
768	model_name = param_names[0]
769	##Assume max len is 3; eg., M0.radius.width
770	if len(param_names) == 3:
771	param_name = param_names[1] + "." + param_names[2]
772	else:
773	param_name = param_names[1]
774	return model_name, param_name
775
776	def on_bumps_options(self, event=None):
777	"""
778	Open the bumps options panel.
779	"""
780	show_fit_config(self.parent, help=self.on_help)
781
782	def on_fitter_changed(self, event):
783	self._set_fitter_label(event.config)
784
785	def _set_fitter_label(self, config):
786	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
787	+ " - Active Fitting Optimizer: "
788	+ config.selected_name)
789
790	def on_help(self, algorithm_id):
791	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
792	_anchor = "#fit-"+algorithm_id
793	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
794
795
796	def on_fit_results(self, event=None):
797	"""
798	Make the Fit Results panel visible.
799	"""
800	self.result_frame.Show()
801	self.result_frame.Raise()
802
803	def stop_fit(self, uid):
804	"""
805	Stop the fit
806	"""
807	if uid in self.fit_thread_list.keys():
808	calc_fit = self.fit_thread_list[uid]
809	if calc_fit is not None and calc_fit.isrunning():
810	calc_fit.stop()
811	msg = "Fit stop!"
812	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
813	del self.fit_thread_list[uid]
814	#set the fit button label of page when fit stop is trigger from
815	#simultaneous fit pane
816	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
817	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
818	if sim_flag or batch_flag:
819	for uid, value in self.page_finder.iteritems():
820	if value.get_scheduled() == 1:
821	if uid in self.fit_panel.opened_pages.keys():
822	panel = self.fit_panel.opened_pages[uid]
823	panel._on_fit_complete()
824
825	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
826	enable_smearer=False):
827	"""
828	Get a smear object and store it to a fit problem of fid as id. If proper
829	flag is enable , will plot the theory with smearing information.
830
831	:param smearer: smear object to allow smearing data of id fid
832	:param enable_smearer: Define whether or not all (data, model) contained
833	in the structure of id uid will be smeared before fitting.
834	:param qmin: the maximum value of the theory plotting range
835	:param qmax: the maximum value of the theory plotting range
836	:param draw: Determine if the theory needs to be plot
837	"""
838	if uid not in self.page_finder.keys():
839	return
840	self.page_finder[uid].enable_smearing(flag=enable_smearer)
841	self.page_finder[uid].set_smearer(smearer, fid=fid)
842	if draw:
843	## draw model 1D with smeared data
844	data = self.page_finder[uid].get_fit_data(fid=fid)
845	if data is None:
846	msg = "set_mearer requires at least data.\n"
847	msg += "Got data = %s .\n" % str(data)
848	return
849	#raise ValueError, msg
850	model = self.page_finder[uid].get_model(fid=fid)
851	if model is None:
852	return
853	enable1D = issubclass(data.__class__, Data1D)
854	enable2D = issubclass(data.__class__, Data2D)
855	## if user has already selected a model to plot
856	## redraw the model with data smeared
857	smear = self.page_finder[uid].get_smearer(fid=fid)
858
859	# compute weight for the current data
860	weight = self.page_finder[uid].get_weight(fid=fid)
861
862	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
863	enable1D=enable1D, enable2D=enable2D,
864	qmin=qmin, qmax=qmax, weight=weight)
865	self._mac_sleep(0.2)
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 _complete1D(self, x, y, page_id, elapsed, index, model,
1669	weight=None, fid=None,
1670	toggle_mode_on=False, state=None,
1671	data=None, update_chisqr=True,
1672	source='model', plot_result=True):
1673	"""
1674	Complete plotting 1D data
1675	"""
1676	try:
1677	numpy.nan_to_num(y)
1678
1679	new_plot = Data1D(x=x, y=y)
1680	new_plot.is_data = False
1681	new_plot.dy = numpy.zeros(len(y))
1682	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1683	_yaxis, _yunit = data.get_yaxis()
1684	_xaxis, _xunit = data.get_xaxis()
1685	new_plot.title = data.name
1686
1687	new_plot.group_id = data.group_id
1688	if new_plot.group_id == None:
1689	new_plot.group_id = data.group_id
1690	new_plot.id = str(page_id) + " " + data.name
1691	#if new_plot.id in self.color_dict:
1692	# new_plot.custom_color = self.color_dict[new_plot.id]
1693	#find if this theory was already plotted and replace that plot given
1694	#the same id
1695	self.page_finder[page_id].get_theory_data(fid=data.id)
1696
1697	if data.is_data:
1698	data_name = str(data.name)
1699	else:
1700	data_name = str(model.__class__.__name__)
1701
1702	new_plot.name = model.name + " [" + data_name + "]"
1703	new_plot.xaxis(_xaxis, _xunit)
1704	new_plot.yaxis(_yaxis, _yunit)
1705	self.page_finder[page_id].set_theory_data(data=new_plot,
1706	fid=data.id)
1707	self.parent.update_theory(data_id=data.id, theory=new_plot,
1708	state=state)
1709	current_pg = self.fit_panel.get_page_by_id(page_id)
1710	title = new_plot.title
1711	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1712	if not batch_on:
1713	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1714	title=str(title)))
1715	elif plot_result:
1716	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
1717	if data.id == top_data_id:
1718	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1719	title=str(title)))
1720	caption = current_pg.window_caption
1721	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
1722
1723	self.page_finder[page_id].set_theory_data(data=new_plot,
1724	fid=data.id)
1725	if toggle_mode_on:
1726	wx.PostEvent(self.parent,
1727	NewPlotEvent(group_id=str(page_id) + " Model2D",
1728	action="Hide"))
1729	else:
1730	if update_chisqr:
1731	wx.PostEvent(current_pg,
1732	Chi2UpdateEvent(output=self._cal_chisqr(
1733	data=data,
1734	fid=fid,
1735	weight=weight,
1736	page_id=page_id,
1737	index=index)))
1738	else:
1739	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1740	index=index, weight=weight)
1741
1742	msg = "Computation completed!"
1743	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1744	except:
1745	raise
1746
1747	def _calc_exception(self, etype, value, tb):
1748	"""
1749	Handle exception from calculator by posting it as an error.
1750	"""
1751	logging.error("".join(traceback.format_exception(etype, value, tb)))
1752	msg = traceback.format_exception(etype, value, tb, limit=1)
1753	evt = StatusEvent(status="".join(msg), type="stop", info="error")
1754	wx.PostEvent(self.parent, evt)
1755
1756	def _update2D(self, output, time=None):
1757	"""
1758	Update the output of plotting model
1759	"""
1760	msg = "Plot updating ... "
1761	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
1762
1763	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1764	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
1765	update_chisqr=True, source='model', plot_result=True):
1766	"""
1767	Complete get the result of modelthread and create model 2D
1768	that can be plot.
1769	"""
1770	numpy.nan_to_num(image)
1771	new_plot = Data2D(image=image, err_image=data.err_data)
1772	new_plot.name = model.name + '2d'
1773	new_plot.title = "Analytical model 2D "
1774	new_plot.id = str(page_id) + " " + data.name
1775	new_plot.group_id = str(page_id) + " Model2D"
1776	new_plot.detector = data.detector
1777	new_plot.source = data.source
1778	new_plot.is_data = False
1779	new_plot.qx_data = data.qx_data
1780	new_plot.qy_data = data.qy_data
1781	new_plot.q_data = data.q_data
1782	new_plot.mask = data.mask
1783	## plot boundaries
1784	new_plot.ymin = data.ymin
1785	new_plot.ymax = data.ymax
1786	new_plot.xmin = data.xmin
1787	new_plot.xmax = data.xmax
1788	title = data.title
1789
1790	new_plot.is_data = False
1791	if data.is_data:
1792	data_name = str(data.name)
1793	else:
1794	data_name = str(model.__class__.__name__) + '2d'
1795
1796	if len(title) > 1:
1797	new_plot.title = "Model2D for %s " % model.name + data_name
1798	new_plot.name = model.name + " [" + \
1799	data_name + "]"
1800	theory_data = deepcopy(new_plot)
1801
1802	self.page_finder[page_id].set_theory_data(data=theory_data,
1803	fid=data.id)
1804	self.parent.update_theory(data_id=data.id,
1805	theory=new_plot,
1806	state=state)
1807	current_pg = self.fit_panel.get_page_by_id(page_id)
1808	title = new_plot.title
1809	if not source == 'fit' and plot_result:
1810	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1811	title=title))
1812	if toggle_mode_on:
1813	wx.PostEvent(self.parent,
1814	NewPlotEvent(group_id=str(page_id) + " Model1D",
1815	action="Hide"))
1816	else:
1817	# Chisqr in fitpage
1818	if update_chisqr:
1819	wx.PostEvent(current_pg,
1820	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1821	weight=weight,
1822	fid=fid,
1823	page_id=page_id,
1824	index=index)))
1825	else:
1826	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1827	index=index, weight=weight)
1828	msg = "Computation completed!"
1829	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1830
1831	def _draw_model2D(self, model, page_id, qmin,
1832	qmax,
1833	data=None, smearer=None,
1834	description=None, enable2D=False,
1835	state=None,
1836	fid=None,
1837	weight=None,
1838	toggle_mode_on=False,
1839	update_chisqr=True, source='model'):
1840	"""
1841	draw model in 2D
1842
1843	:param model: instance of the model to draw
1844	:param description: the description of the model
1845	:param enable2D: when True allows to draw model 2D
1846	:param qmin: the minimum value to draw model 2D
1847	:param qmax: the maximum value to draw model 2D
1848	:param qstep: the number of division of Qx and Qy of the model to draw
1849
1850	"""
1851	if not enable2D:
1852	return None
1853	try:
1854	from model_thread import Calc2D
1855	## If a thread is already started, stop it
1856	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1857	self.calc_2D.stop()
1858	## stop just raises a flag to tell the thread to kill
1859	## itself -- see the fix in Calc1D implemented to fix
1860	## an actual problem. Seems the fix should also go here
1861	## and may be the cause of other noted instabilities
1862	##
1863	## -PDB August 12, 2014
1864	while self.calc_2D.isrunning():
1865	time.sleep(0.1)
1866	self.calc_2D = Calc2D(model=model,
1867	data=data,
1868	page_id=page_id,
1869	smearer=smearer,
1870	qmin=qmin,
1871	qmax=qmax,
1872	weight=weight,
1873	fid=fid,
1874	toggle_mode_on=toggle_mode_on,
1875	state=state,
1876	completefn=self._complete2D,
1877	update_chisqr=update_chisqr,
1878	exception_handler=self._calc_exception,
1879	source=source)
1880	self.calc_2D.queue()
1881	except:
1882	raise
1883
1884	def _draw_model1D(self, model, page_id, data,
1885	qmin, qmax, smearer=None,
1886	state=None,
1887	weight=None,
1888	fid=None,
1889	toggle_mode_on=False, update_chisqr=True, source='model',
1890	enable1D=True):
1891	"""
1892	Draw model 1D from loaded data1D
1893
1894	:param data: loaded data
1895	:param model: the model to plot
1896
1897	"""
1898	if not enable1D:
1899	return
1900	try:
1901	from model_thread import Calc1D
1902	## If a thread is already started, stop it
1903	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1904	self.calc_1D.stop()
1905	## stop just raises the flag -- the thread is supposed to
1906	## then kill itself but cannot. Paul Kienzle came up with
1907	## this fix to prevent threads from stepping on each other
1908	## which was causing a simple custom model to crash Sasview.
1909	## We still don't know why the fit sometimes lauched a second
1910	## thread -- something which should also be investigated.
1911	## The thread approach was implemented in order to be able
1912	## to lauch a computation in a separate thread from the GUI so
1913	## that the GUI can still respond to user input including
1914	## a request to stop the computation.
1915	## It seems thus that the whole thread approach used here
1916	## May need rethinking
1917	##
1918	## -PDB August 12, 2014
1919	while self.calc_1D.isrunning():
1920	time.sleep(0.1)
1921	self.calc_1D = Calc1D(data=data,
1922	model=model,
1923	page_id=page_id,
1924	qmin=qmin,
1925	qmax=qmax,
1926	smearer=smearer,
1927	state=state,
1928	weight=weight,
1929	fid=fid,
1930	toggle_mode_on=toggle_mode_on,
1931	completefn=self._complete1D,
1932	#updatefn = self._update1D,
1933	update_chisqr=update_chisqr,
1934	exception_handler=self._calc_exception,
1935	source=source)
1936	self.calc_1D.queue()
1937	except:
1938	msg = " Error occurred when drawing %s Model 1D: " % model.name
1939	msg += " %s" % sys.exc_value
1940	wx.PostEvent(self.parent, StatusEvent(status=msg))
1941
1942	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
1943	"""
1944	Get handy Chisqr using the output from draw1D and 2D,
1945	instead of calling expansive CalcChisqr in guithread
1946	"""
1947	try:
1948	data_copy = deepcopy(data)
1949	except:
1950	return
1951	# default chisqr
1952	chisqr = None
1953	#to compute chisq make sure data has valid data
1954	# return None if data == None
1955	if not check_data_validity(data_copy) or data_copy == None:
1956	return chisqr
1957
1958	# Get data: data I, theory I, and data dI in order
1959	if data_copy.__class__.__name__ == "Data2D":
1960	if index == None:
1961	index = numpy.ones(len(data_copy.data), dtype=bool)
1962	if weight != None:
1963	data_copy.err_data = weight
1964	# get rid of zero error points
1965	index = index & (data_copy.err_data != 0)
1966	index = index & (numpy.isfinite(data_copy.data))
1967	fn = data_copy.data[index]
1968	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
1969	if theory_data == None:
1970	return chisqr
1971	gn = theory_data.data[index]
1972	en = data_copy.err_data[index]
1973	else:
1974	# 1 d theory from model_thread is only in the range of index
1975	if index == None:
1976	index = numpy.ones(len(data_copy.y), dtype=bool)
1977	if weight != None:
1978	data_copy.dy = weight
1979	if data_copy.dy == None or data_copy.dy == []:
1980	dy = numpy.ones(len(data_copy.y))
1981	else:
1982	## Set consistently w/AbstractFitengine:
1983	# But this should be corrected later.
1984	dy = deepcopy(data_copy.dy)
1985	dy[dy == 0] = 1
1986	fn = data_copy.y[index]
1987
1988	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
1989	if theory_data == None:
1990	return chisqr
1991	gn = theory_data.y
1992	en = dy[index]
1993
1994	# residual
1995	try:
1996	res = (fn - gn) / en
1997	except ValueError:
1998	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
1999	return
2000
2001	residuals = res[numpy.isfinite(res)]
2002	# get chisqr only w/finite
2003	chisqr = numpy.average(residuals * residuals)
2004
2005	self._plot_residuals(page_id=page_id, data=data_copy,
2006	fid=fid,
2007	weight=weight, index=index)
2008
2009	return chisqr
2010
2011	def _plot_residuals(self, page_id, weight, fid=None,
2012	data=None, index=None):
2013	"""
2014	Plot the residuals
2015
2016	:param data: data
2017	:param index: index array (bool)
2018	: Note: this is different from the residuals in cal_chisqr()
2019	"""
2020	data_copy = deepcopy(data)
2021	# Get data: data I, theory I, and data dI in order
2022	if data_copy.__class__.__name__ == "Data2D":
2023	# build residuals
2024	residuals = Data2D()
2025	#residuals.copy_from_datainfo(data)
2026	# Not for trunk the line below, instead use the line above
2027	data_copy.clone_without_data(len(data_copy.data), residuals)
2028	residuals.data = None
2029	fn = data_copy.data
2030	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2031	gn = theory_data.data
2032	if weight == None:
2033	en = data_copy.err_data
2034	else:
2035	en = weight
2036	residuals.data = (fn - gn) / en
2037	residuals.qx_data = data_copy.qx_data
2038	residuals.qy_data = data_copy.qy_data
2039	residuals.q_data = data_copy.q_data
2040	residuals.err_data = numpy.ones(len(residuals.data))
2041	residuals.xmin = min(residuals.qx_data)
2042	residuals.xmax = max(residuals.qx_data)
2043	residuals.ymin = min(residuals.qy_data)
2044	residuals.ymax = max(residuals.qy_data)
2045	residuals.q_data = data_copy.q_data
2046	residuals.mask = data_copy.mask
2047	residuals.scale = 'linear'
2048	# check the lengths
2049	if len(residuals.data) != len(residuals.q_data):
2050	return
2051	else:
2052	# 1 d theory from model_thread is only in the range of index
2053	if data_copy.dy == None or data_copy.dy == []:
2054	dy = numpy.ones(len(data_copy.y))
2055	else:
2056	if weight == None:
2057	dy = numpy.ones(len(data_copy.y))
2058	## Set consitently w/AbstractFitengine:
2059	## But this should be corrected later.
2060	else:
2061	dy = weight
2062	dy[dy == 0] = 1
2063	fn = data_copy.y[index]
2064	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2065	gn = theory_data.y
2066	en = dy[index]
2067	# build residuals
2068	residuals = Data1D()
2069	try:
2070	residuals.y = (fn - gn) / en
2071	except:
2072	msg = "ResidualPlot Error: different # of data points in theory"
2073	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
2074	residuals.y = (fn - gn[index]) / en
2075	residuals.x = data_copy.x[index]
2076	residuals.dy = numpy.ones(len(residuals.y))
2077	residuals.dx = None
2078	residuals.dxl = None
2079	residuals.dxw = None
2080	residuals.ytransform = 'y'
2081	# For latter scale changes
2082	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
2083	residuals.yaxis('\\rm{Residuals} ', 'normalized')
2084	theory_name = str(theory_data.name.split()[0])
2085	new_plot = residuals
2086	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
2087	str(data.name) + "]"
2088	## allow to highlight data when plotted
2089	new_plot.interactive = True
2090	## when 2 data have the same id override the 1 st plotted
2091	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
2092	##group_id specify on which panel to plot this data
2093	group_id = self.page_finder[page_id].get_graph_id()
2094	if group_id == None:
2095	group_id = data.group_id
2096	new_plot.group_id = "res" + str(group_id)
2097	#new_plot.is_data = True
2098	##post data to plot
2099	title = new_plot.name
2100	self.page_finder[page_id].set_residuals(residuals=new_plot,
2101	fid=data.id)
2102	self.parent.update_theory(data_id=data.id, theory=new_plot)
2103	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
2104	if not batch_on:
2105	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ d4e7ca0

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