fitting.py @ e28f34d

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 e28f34d was ff3f5821, checked in by krzywon, 8 years ago
Merge branch 'master' into wx_save_simfit
Property mode set to `100755`
File size: 87.8 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, "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	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',
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', 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', 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 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	self._mac_sleep(0.2)
867
868	def _mac_sleep(self, sec=0.2):
869	"""
870	Give sleep to MAC
871	"""
872	if ON_MAC:
873	time.sleep(sec)
874
875	def draw_model(self, model, page_id, data=None, smearer=None,
876	enable1D=True, enable2D=False,
877	state=None,
878	fid=None,
879	toggle_mode_on=False,
880	qmin=None, qmax=None,
881	update_chisqr=True, weight=None, source='model'):
882	"""
883	Draw model.
884
885	:param model: the model to draw
886	:param name: the name of the model to draw
887	:param data: the data on which the model is based to be drawn
888	:param description: model's description
889	:param enable1D: if true enable drawing model 1D
890	:param enable2D: if true enable drawing model 2D
891	:param qmin: Range's minimum value to draw model
892	:param qmax: Range's maximum value to draw model
893	:param qstep: number of step to divide the x and y-axis
894	:param update_chisqr: update chisqr [bool]
895
896	"""
897	#self.weight = weight
898	if issubclass(data.__class__, Data1D) or not enable2D:
899	## draw model 1D with no loaded data
900	self._draw_model1D(model=model,
901	data=data,
902	page_id=page_id,
903	enable1D=enable1D,
904	smearer=smearer,
905	qmin=qmin,
906	qmax=qmax,
907	fid=fid,
908	weight=weight,
909	toggle_mode_on=toggle_mode_on,
910	state=state,
911	update_chisqr=update_chisqr,
912	source=source)
913	else:
914	## draw model 2D with no initial data
915	self._draw_model2D(model=model,
916	page_id=page_id,
917	data=data,
918	enable2D=enable2D,
919	smearer=smearer,
920	qmin=qmin,
921	qmax=qmax,
922	fid=fid,
923	weight=weight,
924	state=state,
925	toggle_mode_on=toggle_mode_on,
926	update_chisqr=update_chisqr,
927	source=source)
928
929	def onFit(self, uid):
930	"""
931	Get series of data, model, associates parameters and range and send then
932	to series of fitters. Fit data and model, display result to
933	corresponding panels.
934	:param uid: id related to the panel currently calling this fit function.
935	"""
936	if uid is None: raise RuntimeError("no page to fit") # Should never happen
937
938	sim_page_uid = getattr(self.sim_page, 'uid', None)
939	batch_page_uid = getattr(self.batch_page, 'uid', None)
940
941	if uid == sim_page_uid:
942	fit_type = 'simultaneous'
943	elif uid == batch_page_uid:
944	fit_type = 'combined_batch'
945	else:
946	fit_type = 'single'
947
948	fitter_list = []
949	sim_fitter = None
950	if fit_type == 'simultaneous':
951	# for simultaneous fitting only one fitter is needed
952	sim_fitter = Fit()
953	sim_fitter.fitter_id = self.sim_page.uid
954	fitter_list.append(sim_fitter)
955
956	self.current_pg = None
957	list_page_id = []
958	fit_id = 0
959	for page_id, page_info in self.page_finder.iteritems():
960	# For simulfit (uid give with None), do for-loop
961	# if uid is specified (singlefit), do it only on the page.
962	if page_id in (sim_page_uid, batch_page_uid): continue
963	if fit_type == "single" and page_id != uid: continue
964
965	try:
966	if page_info.get_scheduled() == 1:
967	page_info.nbr_residuals_computed = 0
968	page = self.fit_panel.get_page_by_id(page_id)
969	self.set_fit_weight(uid=page.uid,
970	flag=page.get_weight_flag(),
971	is2d=page._is_2D())
972	if not page.param_toFit:
973	msg = "No fitting parameters for %s" % page.window_caption
974	evt = StatusEvent(status=msg, info="error", type="stop")
975	wx.PostEvent(page.parent.parent, evt)
976	return False
977	if not page._update_paramv_on_fit():
978	msg = "Fitting range or parameter values are"
979	msg += " invalid in %s" % \
980	page.window_caption
981	evt = StatusEvent(status=msg, info="error", type="stop")
982	wx.PostEvent(page.parent.parent, evt)
983	return False
984
985	pars = [str(element[1]) for element in page.param_toFit]
986	fitproblem_list = page_info.values()
987	for fitproblem in fitproblem_list:
988	if sim_fitter is None:
989	fitter = Fit()
990	fitter.fitter_id = page_id
991	fitter_list.append(fitter)
992	else:
993	fitter = sim_fitter
994	self._add_problem_to_fit(fitproblem=fitproblem,
995	pars=pars,
996	fitter=fitter,
997	fit_id=fit_id)
998	fit_id += 1
999	list_page_id.append(page_id)
1000	page_info.clear_model_param()
1001	except KeyboardInterrupt:
1002	msg = "Fitting terminated"
1003	evt = StatusEvent(status=msg, info="info", type="stop")
1004	wx.PostEvent(self.parent, evt)
1005	return True
1006	except:
1007	raise
1008	msg = "Fitting error: %s" % str(sys.exc_value)
1009	evt = StatusEvent(status=msg, info="error", type="stop")
1010	wx.PostEvent(self.parent, evt)
1011	return False
1012	## If a thread is already started, stop it
1013	#if self.calc_fit!= None and self.calc_fit.isrunning():
1014	# self.calc_fit.stop()
1015	msg = "Fitting is in progress..."
1016	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
1017
1018	#Handler used to display fit message
1019	handler = ConsoleUpdate(parent=self.parent,
1020	manager=self,
1021	improvement_delta=0.1)
1022	self._mac_sleep(0.2)
1023
1024	# batch fit
1025	batch_inputs = {}
1026	batch_outputs = {}
1027	if fit_type == "simultaneous":
1028	page = self.sim_page
1029	elif fit_type == "combined_batch":
1030	page = self.batch_page
1031	else:
1032	page = self.fit_panel.get_page_by_id(uid)
1033	if page.batch_on:
1034	calc_fit = FitThread(handler=handler,
1035	fn=fitter_list,
1036	pars=pars,
1037	batch_inputs=batch_inputs,
1038	batch_outputs=batch_outputs,
1039	page_id=list_page_id,
1040	completefn=self._batch_fit_complete,
1041	reset_flag=self.batch_reset_flag)
1042	else:
1043	## Perform more than 1 fit at the time
1044	calc_fit = FitThread(handler=handler,
1045	fn=fitter_list,
1046	batch_inputs=batch_inputs,
1047	batch_outputs=batch_outputs,
1048	page_id=list_page_id,
1049	updatefn=handler.update_fit,
1050	completefn=self._fit_completed)
1051	#self.fit_thread_list[current_page_id] = calc_fit
1052	self.fit_thread_list[uid] = calc_fit
1053	calc_fit.queue()
1054	calc_fit.ready(2.5)
1055	msg = "Fitting is in progress..."
1056	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
1057
1058	return True
1059
1060	def remove_plot(self, uid, fid=None, theory=False):
1061	"""
1062	remove model plot when a fit page is closed
1063	:param uid: the id related to the fitpage to close
1064	:param fid: the id of the fitproblem(data, model, range,etc)
1065	"""
1066	if uid not in self.page_finder.keys():
1067	return
1068	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
1069	for fitproblem in fitproblemList:
1070	data = fitproblem.get_fit_data()
1071	model = fitproblem.get_model()
1072	plot_id = None
1073	if model is not None:
1074	plot_id = data.id + model.name
1075	if theory:
1076	plot_id = data.id + model.name
1077	group_id = data.group_id
1078	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
1079	group_id=group_id,
1080	action='remove'))
1081
1082	def store_data(self, uid, data_list=None, caption=None):
1083	"""
1084	Recieve a list of data and store them ans well as a caption of
1085	the fit page where they come from.
1086	:param uid: if related to a fit page
1087	:param data_list: list of data to fit
1088	:param caption: caption of the window related to these data
1089	"""
1090	if data_list is None:
1091	data_list = []
1092
1093	self.page_finder[uid].set_fit_data(data=data_list)
1094	if caption is not None:
1095	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1096
1097	def on_add_new_page(self, event=None):
1098	"""
1099	ask fit panel to create a new empty page
1100	"""
1101	try:
1102	page = self.fit_panel.add_empty_page()
1103	# add data associated to the page created
1104	if page != None:
1105	evt = StatusEvent(status="Page Created", info="info")
1106	wx.PostEvent(self.parent, evt)
1107	else:
1108	msg = "Page was already Created"
1109	evt = StatusEvent(status=msg, info="warning")
1110	wx.PostEvent(self.parent, evt)
1111	except:
1112	msg = "Creating Fit page: %s" % sys.exc_value
1113	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
1114
1115	def add_fit_page(self, data):
1116	"""
1117	given a data, ask to the fitting panel to create a new fitting page,
1118	get this page and store it into the page_finder of this plug-in
1119	:param data: is a list of data
1120	"""
1121	page = self.fit_panel.set_data(data)
1122	# page could be None when loading state files
1123	if page == None:
1124	return page
1125	#append Data1D to the panel containing its theory
1126	#if theory already plotted
1127	if page.uid in self.page_finder:
1128	data = page.get_data()
1129	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
1130	if issubclass(data.__class__, Data2D):
1131	data.group_id = wx.NewId()
1132	if theory_data is not None:
1133	group_id = str(page.uid) + " Model1D"
1134	wx.PostEvent(self.parent,
1135	NewPlotEvent(group_id=group_id,
1136	action="delete"))
1137	self.parent.update_data(prev_data=theory_data,
1138	new_data=data)
1139	else:
1140	if theory_data is not None:
1141	group_id = str(page.uid) + " Model2D"
1142	data.group_id = theory_data.group_id
1143	wx.PostEvent(self.parent,
1144	NewPlotEvent(group_id=group_id,
1145	action="delete"))
1146	self.parent.update_data(prev_data=theory_data,
1147	new_data=data)
1148	self.store_data(uid=page.uid, data_list=page.get_data_list(),
1149	caption=page.window_caption)
1150	if self.sim_page is not None and not self.batch_on:
1151	self.sim_page.draw_page()
1152	if self.batch_page is not None and self.batch_on:
1153	self.batch_page.draw_page()
1154
1155	return page
1156
1157	def _onEVT_SLICER_PANEL(self, event):
1158	"""
1159	receive and event telling to update a panel with a name starting with
1160	event.panel_name. this method update slicer panel
1161	for a given interactor.
1162
1163	:param event: contains type of slicer , paramaters for updating
1164	the panel and panel_name to find the slicer 's panel concerned.
1165	"""
1166	event.panel_name
1167	for item in self.parent.panels:
1168	name = event.panel_name
1169	if self.parent.panels[item].window_caption.startswith(name):
1170	self.parent.panels[item].set_slicer(event.type, event.params)
1171
1172	#self.parent._mgr.Update()
1173
1174	def _closed_fitpage(self, event):
1175	"""
1176	request fitpanel to close a given page when its unique data is removed
1177	from the plot. close fitpage only when the a loaded data is removed
1178	"""
1179	if event is None or event.data is None:
1180	return
1181	if hasattr(event.data, "is_data"):
1182	if not event.data.is_data or \
1183	event.data.__class__.__name__ == "Data1D":
1184	self.fit_panel.close_page_with_data(event.data)
1185
1186	def _reset_schedule_problem(self, value=0, uid=None):
1187	"""
1188	unschedule or schedule all fitproblem to be fit
1189	"""
1190	# case that uid is not specified
1191	if uid == None:
1192	for page_id in self.page_finder.keys():
1193	self.page_finder[page_id].schedule_tofit(value)
1194	# when uid is given
1195	else:
1196	if uid in self.page_finder.keys():
1197	self.page_finder[uid].schedule_tofit(value)
1198
1199	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
1200	"""
1201	Create and set fitter with series of data and model
1202	"""
1203	data = fitproblem.get_fit_data()
1204	model = fitproblem.get_model()
1205	smearer = fitproblem.get_smearer()
1206	qmin, qmax = fitproblem.get_range()
1207
1208	#Extra list of parameters and their constraints
1209	listOfConstraint = []
1210	param = fitproblem.get_model_param()
1211	if len(param) > 0:
1212	for item in param:
1213	## check if constraint
1214	if item[0] != None and item[1] != None:
1215	listOfConstraint.append((item[0], item[1]))
1216	new_model = model
1217	fitter.set_model(new_model, fit_id, pars, data=data,
1218	constraints=listOfConstraint)
1219	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
1220	qmax=qmax)
1221	fitter.select_problem_for_fit(id=fit_id, value=1)
1222
1223	def _onSelect(self, event):
1224	"""
1225	when Select data to fit a new page is created .Its reference is
1226	added to self.page_finder
1227	"""
1228	panel = self.plot_panel
1229	if panel == None:
1230	raise ValueError, "Fitting:_onSelect: NonType panel"
1231	Plugin.on_perspective(self, event=event)
1232	self.select_data(panel)
1233
1234	def select_data(self, panel):
1235	"""
1236	"""
1237	for plottable in panel.graph.plottables:
1238	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
1239	data_id = panel.graph.selected_plottable
1240	if plottable == panel.plots[data_id]:
1241	data = plottable
1242	self.add_fit_page(data=[data])
1243	return
1244	else:
1245	data = plottable
1246	self.add_fit_page(data=[data])
1247
1248	def update_fit(self, result=None, msg=""):
1249	"""
1250	"""
1251	print "update_fit result", result
1252
1253	def _batch_fit_complete(self, result, pars, page_id,
1254	batch_outputs, batch_inputs, elapsed=None):
1255	"""
1256	Display fit result in batch
1257	:param result: list of objects received from fitters
1258	:param pars: list of fitted parameters names
1259	:param page_id: list of page ids which called fit function
1260	:param elapsed: time spent at the fitting level
1261	"""
1262	self._mac_sleep(0.2)
1263	uid = page_id[0]
1264	if uid in self.fit_thread_list.keys():
1265	del self.fit_thread_list[uid]
1266
1267	wx.CallAfter(self._update_fit_button, page_id)
1268	t1 = time.time()
1269	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1270	msg = "Fit completed on %s \n" % str_time
1271	msg += "Duration time: %s s.\n" % str(elapsed)
1272	evt = StatusEvent(status=msg, info="info", type="stop")
1273	wx.PostEvent(self.parent, evt)
1274
1275	if batch_outputs is None:
1276	batch_outputs = {}
1277
1278	# format batch_outputs
1279	batch_outputs["Chi2"] = []
1280	#Don't like these loops
1281	# Need to create dictionary of all fitted parameters
1282	# since the number of parameters can differ between each fit result
1283	for list_res in result:
1284	for res in list_res:
1285	model, data = res.inputs[0]
1286	if model is not None and hasattr(model, "model"):
1287	model = model.model
1288	#get all fittable parameters of the current model
1289	for param in model.getParamList():
1290	if param not in batch_outputs.keys():
1291	batch_outputs[param] = []
1292	for param in model.getDispParamList():
1293	if not model.is_fittable(param) and \
1294	param in batch_outputs.keys():
1295	del batch_outputs[param]
1296	# Add fitted parameters and their error
1297	for param in res.param_list:
1298	if param not in batch_outputs.keys():
1299	batch_outputs[param] = []
1300	err_param = "error on %s" % str(param)
1301	if err_param not in batch_inputs.keys():
1302	batch_inputs[err_param] = []
1303	msg = ""
1304	for list_res in result:
1305	for res in list_res:
1306	pid = res.fitter_id
1307	model, data = res.inputs[0]
1308	correct_result = False
1309	if model is not None and hasattr(model, "model"):
1310	model = model.model
1311	if data is not None and hasattr(data, "sas_data"):
1312	data = data.sas_data
1313
1314	is_data2d = issubclass(data.__class__, Data2D)
1315	#check consistency of arrays
1316	if not is_data2d:
1317	if len(res.theory) == len(res.index[res.index]) and \
1318	len(res.index) == len(data.y):
1319	correct_result = True
1320	else:
1321	copy_data = deepcopy(data)
1322	new_theory = copy_data.data
1323	new_theory[res.index] = res.theory
1324	new_theory[res.index == False] = numpy.nan
1325	correct_result = True
1326	#get all fittable parameters of the current model
1327	param_list = model.getParamList()
1328	for param in model.getDispParamList():
1329	if not model.is_fittable(param) and \
1330	param in param_list:
1331	param_list.remove(param)
1332	if not correct_result or res.fitness is None or \
1333	not numpy.isfinite(res.fitness) or \
1334	numpy.any(res.pvec == None) or not \
1335	numpy.all(numpy.isfinite(res.pvec)):
1336	data_name = str(None)
1337	if data is not None:
1338	data_name = str(data.name)
1339	model_name = str(None)
1340	if model is not None:
1341	model_name = str(model.name)
1342	msg += "Data %s and Model %s did not fit.\n" % (data_name,
1343	model_name)
1344	ERROR = numpy.NAN
1345	cell = BatchCell()
1346	cell.label = res.fitness
1347	cell.value = res.fitness
1348	batch_outputs["Chi2"].append(ERROR)
1349	for param in param_list:
1350	# save value of fixed parameters
1351	if param not in res.param_list:
1352	batch_outputs[str(param)].append(ERROR)
1353	else:
1354	#save only fitted values
1355	batch_outputs[param].append(ERROR)
1356	batch_inputs["error on %s" % str(param)].append(ERROR)
1357	else:
1358	# TODO: Why sometimes res.pvec comes with numpy.float64?
1359	# probably from scipy lmfit
1360	if res.pvec.__class__ == numpy.float64:
1361	res.pvec = [res.pvec]
1362
1363	cell = BatchCell()
1364	cell.label = res.fitness
1365	cell.value = res.fitness
1366	batch_outputs["Chi2"].append(cell)
1367	# add parameters to batch_results
1368	for param in param_list:
1369	# save value of fixed parameters
1370	if param not in res.param_list:
1371	batch_outputs[str(param)].append(model.getParam(param))
1372	else:
1373	index = res.param_list.index(param)
1374	#save only fitted values
1375	batch_outputs[param].append(res.pvec[index])
1376	if res.stderr is not None and \
1377	len(res.stderr) == len(res.param_list):
1378	item = res.stderr[index]
1379	batch_inputs["error on %s" % param].append(item)
1380	else:
1381	batch_inputs["error on %s" % param].append('-')
1382	model.setParam(param, res.pvec[index])
1383	#fill the batch result with emtpy value if not in the current
1384	#model
1385	EMPTY = "-"
1386	for key in batch_outputs.keys():
1387	if key not in param_list and key not in ["Chi2", "Data"]:
1388	batch_outputs[key].append(EMPTY)
1389
1390	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
1391	batch_outputs=batch_outputs)
1392
1393	cpage = self.fit_panel.get_page_by_id(pid)
1394	cpage._on_fit_complete()
1395	self.page_finder[pid][data.id].set_result(res)
1396	fitproblem = self.page_finder[pid][data.id]
1397	qmin, qmax = fitproblem.get_range()
1398	plot_result = False
1399	if correct_result:
1400	if not is_data2d:
1401	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
1402	elapsed=None,
1403	index=res.index, model=model,
1404	weight=None, fid=data.id,
1405	toggle_mode_on=False, state=None,
1406	data=data, update_chisqr=False,
1407	source='fit', plot_result=plot_result)
1408	else:
1409	self._complete2D(image=new_theory, data=data,
1410	model=model,
1411	page_id=pid, elapsed=None,
1412	index=res.index,
1413	qmin=qmin,
1414	qmax=qmax, fid=data.id, weight=None,
1415	toggle_mode_on=False, state=None,
1416	update_chisqr=False,
1417	source='fit', plot_result=plot_result)
1418	self.on_set_batch_result(page_id=pid,
1419	fid=data.id,
1420	batch_outputs=batch_outputs,
1421	batch_inputs=batch_inputs)
1422
1423	evt = StatusEvent(status=msg, error="info", type="stop")
1424	wx.PostEvent(self.parent, evt)
1425	# Remove parameters that are not shown
1426	cpage = self.fit_panel.get_page_by_id(uid)
1427	tbatch_outputs = {}
1428	shownkeystr = cpage.get_copy_params()
1429	for key in batch_outputs.keys():
1430	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
1431	tbatch_outputs[key] = batch_outputs[key]
1432
1433	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
1434	batch_inputs, self.sub_menu)
1435
1436	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
1437	"""
1438	"""
1439	pid = page_id
1440	if fid not in self.page_finder[pid]:
1441	return
1442	fitproblem = self.page_finder[pid][fid]
1443	index = self.page_finder[pid].nbr_residuals_computed - 1
1444	residuals = fitproblem.get_residuals()
1445	theory_data = fitproblem.get_theory_data()
1446	data = fitproblem.get_fit_data()
1447	model = fitproblem.get_model()
1448	#fill batch result information
1449	if "Data" not in batch_outputs.keys():
1450	batch_outputs["Data"] = []
1451	from sas.sasgui.guiframe.data_processor import BatchCell
1452	cell = BatchCell()
1453	cell.label = data.name
1454	cell.value = index
1455
1456	if theory_data != None:
1457	#Suucessful fit
1458	theory_data.id = wx.NewId()
1459	theory_data.name = model.name + "[%s]" % str(data.name)
1460	if issubclass(theory_data.__class__, Data2D):
1461	group_id = wx.NewId()
1462	theory_data.group_id = group_id
1463	if group_id not in theory_data.list_group_id:
1464	theory_data.list_group_id.append(group_id)
1465
1466	try:
1467	# associate residuals plot
1468	if issubclass(residuals.__class__, Data2D):
1469	group_id = wx.NewId()
1470	residuals.group_id = group_id
1471	if group_id not in residuals.list_group_id:
1472	residuals.list_group_id.append(group_id)
1473	batch_outputs["Chi2"][index].object = [residuals]
1474	except:
1475	pass
1476
1477	cell.object = [data, theory_data]
1478	batch_outputs["Data"].append(cell)
1479	for key, value in data.meta_data.iteritems():
1480	if key not in batch_inputs.keys():
1481	batch_inputs[key] = []
1482	#if key.lower().strip() != "loader":
1483	batch_inputs[key].append(value)
1484	param = "temperature"
1485	if hasattr(data.sample, param):
1486	if param not in batch_inputs.keys():
1487	batch_inputs[param] = []
1488	batch_inputs[param].append(data.sample.temperature)
1489
1490	def _fit_completed(self, result, page_id, batch_outputs,
1491	batch_inputs=None, pars=None, elapsed=None):
1492	"""
1493	Display result of the fit on related panel(s).
1494	:param result: list of object generated when fit ends
1495	:param pars: list of names of parameters fitted
1496	:param page_id: list of page ids which called fit function
1497	:param elapsed: time spent at the fitting level
1498	"""
1499	t1 = time.time()
1500	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1501	msg = "Fit completed on %s \n" % str_time
1502	msg += "Duration time: %s s.\n" % str(elapsed)
1503	evt = StatusEvent(status=msg, info="info", type="stop")
1504	wx.PostEvent(self.parent, evt)
1505	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
1506	wx.CallAfter(self._update_fit_button, page_id)
1507	result = result[0]
1508	self.fit_thread_list = {}
1509	if page_id is None:
1510	page_id = []
1511	## fit more than 1 model at the same time
1512	self._mac_sleep(0.2)
1513	try:
1514	index = 0
1515	# Update potential simfit page(s)
1516	if self.sim_page is not None:
1517	self.sim_page._on_fit_complete()
1518	if self.batch_page:
1519	self.batch_page._on_fit_complete()
1520	# Update all fit pages
1521	for uid in page_id:
1522	res = result[index]
1523	if res.fitness is None or \
1524	not numpy.isfinite(res.fitness) or \
1525	numpy.any(res.pvec == None) or \
1526	not numpy.all(numpy.isfinite(res.pvec)):
1527	msg = "Fitting did not converge!!!"
1528	evt = StatusEvent(status=msg, info="warning", type="stop")
1529	wx.PostEvent(self.parent, evt)
1530	wx.CallAfter(self._update_fit_button, page_id)
1531	else:
1532	#set the panel when fit result are float not list
1533	if res.pvec.__class__ == numpy.float64:
1534	pvec = [res.pvec]
1535	else:
1536	pvec = res.pvec
1537	if res.stderr.__class__ == numpy.float64:
1538	stderr = [res.stderr]
1539	else:
1540	stderr = res.stderr
1541	cpage = self.fit_panel.get_page_by_id(uid)
1542	# Make sure we got all results
1543	#(CallAfter is important to MAC)
1544	try:
1545	#if res != None:
1546	wx.CallAfter(cpage.onsetValues, res.fitness,
1547	res.param_list,
1548	pvec, stderr)
1549	index += 1
1550	wx.CallAfter(cpage._on_fit_complete)
1551	except KeyboardInterrupt:
1552	msg = "Singular point: Fitting Stoped."
1553	evt = StatusEvent(status=msg, info="info", type="stop")
1554	wx.PostEvent(self.parent, evt)
1555	except:
1556	msg = "Singular point: Fitting Error occurred."
1557	evt = StatusEvent(status=msg, info="error", type="stop")
1558	wx.PostEvent(self.parent, evt)
1559
1560	except:
1561	msg = ("Fit completed but the following error occurred: %s"
1562	% sys.exc_value)
1563	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
1564	evt = StatusEvent(status=msg, info="warning", type="stop")
1565	wx.PostEvent(self.parent, evt)
1566
1567	def _update_fit_button(self, page_id):
1568	"""
1569	Update Fit button when fit stopped
1570
1571	: parameter page_id: fitpage where the button is
1572	"""
1573	if page_id.__class__.__name__ != 'list':
1574	page_id = [page_id]
1575	for uid in page_id:
1576	page = self.fit_panel.get_page_by_id(uid)
1577	page._on_fit_complete()
1578
1579	def _on_show_panel(self, event):
1580	"""
1581	"""
1582	pass
1583
1584	def on_reset_batch_flag(self, event):
1585	"""
1586	Set batch_reset_flag
1587	"""
1588	event.Skip()
1589	if self.menu1 == None:
1590	return
1591	menu_item = self.menu1.FindItemById(self.id_reset_flag)
1592	flag = menu_item.IsChecked()
1593	if not flag:
1594	menu_item.Check(False)
1595	self.batch_reset_flag = True
1596	else:
1597	menu_item.Check(True)
1598	self.batch_reset_flag = False
1599
1600	## post a message to status bar
1601	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
1602	wx.PostEvent(self.parent, StatusEvent(status=msg))
1603
1604
1605	def _on_slicer_event(self, event):
1606	"""
1607	Receive a panel as event and send it to guiframe
1608
1609	:param event: event containing a panel
1610
1611	"""
1612	if event.panel is not None:
1613	self.slicer_panels.append(event.panel)
1614	# Set group ID if available
1615	event_id = self.parent.popup_panel(event.panel)
1616	event.panel.uid = event_id
1617	self.mypanels.append(event.panel)
1618
1619	def _onclearslicer(self, event):
1620	"""
1621	Clear the boxslicer when close the panel associate with this slicer
1622	"""
1623	name = event.GetEventObject().frame.GetTitle()
1624	for panel in self.slicer_panels:
1625	if panel.window_caption == name:
1626
1627	for item in self.parent.panels:
1628	if hasattr(self.parent.panels[item], "uid"):
1629	if self.parent.panels[item].uid == panel.base.uid:
1630	self.parent.panels[item].onClearSlicer(event)
1631	#self.parent._mgr.Update()
1632	break
1633	break
1634
1635	def _on_model_panel(self, evt):
1636	"""
1637	react to model selection on any combo box or model menu.plot the model
1638
1639	:param evt: wx.combobox event
1640
1641	"""
1642	model = evt.model
1643	uid = evt.uid
1644	qmin = evt.qmin
1645	qmax = evt.qmax
1646	caption = evt.caption
1647	enable_smearer = evt.enable_smearer
1648	if model == None:
1649	return
1650	if uid not in self.page_finder.keys():
1651	return
1652	# save the name containing the data name with the appropriate model
1653	self.page_finder[uid].set_model(model)
1654	self.page_finder[uid].enable_smearing(enable_smearer)
1655	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1656	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1657	if self.sim_page is not None and not self.batch_on:
1658	self.sim_page.draw_page()
1659	if self.batch_page is not None and self.batch_on:
1660	self.batch_page.draw_page()
1661
1662	def _update1D(self, x, output):
1663	"""
1664	Update the output of plotting model 1D
1665	"""
1666	msg = "Plot updating ... "
1667	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
1668
1669	def create_theory_1D(self, x, y, page_id, model, data, state,
1670	data_description, data_id, dy=None):
1671	"""
1672	Create a theory object associate with an existing Data1D
1673	and add it to the data manager.
1674	@param x: x-values of the data
1675	@param y: y_values of the data
1676	@param page_id: fit page ID
1677	@param model: model used for fitting
1678	@param data: Data1D object to create the theory for
1679	@param state: model state
1680	@param data_description: title to use in the data manager
1681	@param data_id: unique data ID
1682	"""
1683	new_plot = Data1D(x=x, y=y)
1684	if dy is None:
1685	new_plot.is_data = False
1686	new_plot.dy = numpy.zeros(len(y))
1687	# If this is a theory curve, pick the proper symbol to make it a curve
1688	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1689	else:
1690	new_plot.is_data = True
1691	new_plot.dy = dy
1692	new_plot.interactive = True
1693	new_plot.dx = None
1694	new_plot.dxl = None
1695	new_plot.dxw = None
1696	_yaxis, _yunit = data.get_yaxis()
1697	_xaxis, _xunit = data.get_xaxis()
1698	new_plot.title = data.name
1699	new_plot.group_id = data.group_id
1700	if new_plot.group_id == None:
1701	new_plot.group_id = data.group_id
1702	new_plot.id = data_id
1703	# Find if this theory was already plotted and replace that plot given
1704	# the same id
1705	self.page_finder[page_id].get_theory_data(fid=data.id)
1706
1707	if data.is_data:
1708	data_name = str(data.name)
1709	else:
1710	data_name = str(model.__class__.__name__)
1711
1712	new_plot.name = data_description + " [" + data_name + "]"
1713	new_plot.xaxis(_xaxis, _xunit)
1714	new_plot.yaxis(_yaxis, _yunit)
1715	self.page_finder[page_id].set_theory_data(data=new_plot,
1716	fid=data.id)
1717	self.parent.update_theory(data_id=data.id, theory=new_plot,
1718	state=state)
1719	return new_plot
1720
1721	def _complete1D(self, x, y, page_id, elapsed, index, model,
1722	weight=None, fid=None,
1723	toggle_mode_on=False, state=None,
1724	data=None, update_chisqr=True,
1725	source='model', plot_result=True,
1726	unsmeared_model=None, unsmeared_data=None,
1727	unsmeared_error=None, sq_model=None, pq_model=None):
1728	"""
1729	Complete plotting 1D data
1730	@param unsmeared_model: fit model, without smearing
1731	@param unsmeared_data: data, rescaled to unsmeared model
1732	@param unsmeared_error: data error, rescaled to unsmeared model
1733	"""
1734	try:
1735	numpy.nan_to_num(y)
1736	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
1737	data_description=model.name,
1738	data_id=str(page_id) + " " + data.name)
1739	if unsmeared_model is not None:
1740	self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
1741	data_description=model.name + " unsmeared",
1742	data_id=str(page_id) + " " + data.name + " unsmeared")
1743
1744	if unsmeared_data is not None and unsmeared_error is not None:
1745	self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
1746	data_description="Data unsmeared",
1747	data_id="Data " + data.name + " unsmeared",
1748	dy=unsmeared_error)
1749
1750	if sq_model is not None and pq_model is not None:
1751	self.create_theory_1D(x, sq_model, page_id, model, data, state,
1752	data_description=model.name + " S(q)",
1753	data_id=str(page_id) + " " + data.name + " S(q)")
1754	self.create_theory_1D(x, pq_model, page_id, model, data, state,
1755	data_description=model.name + " P(q)",
1756	data_id=str(page_id) + " " + data.name + " P(q)")
1757
1758
1759	current_pg = self.fit_panel.get_page_by_id(page_id)
1760	title = new_plot.title
1761	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1762	if not batch_on:
1763	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1764	title=str(title)))
1765	elif plot_result:
1766	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
1767	if data.id == top_data_id:
1768	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1769	title=str(title)))
1770	caption = current_pg.window_caption
1771	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
1772
1773	self.page_finder[page_id].set_theory_data(data=new_plot,
1774	fid=data.id)
1775	if toggle_mode_on:
1776	wx.PostEvent(self.parent,
1777	NewPlotEvent(group_id=str(page_id) + " Model2D",
1778	action="Hide"))
1779	else:
1780	if update_chisqr:
1781	wx.PostEvent(current_pg,
1782	Chi2UpdateEvent(output=self._cal_chisqr(
1783	data=data,
1784	fid=fid,
1785	weight=weight,
1786	page_id=page_id,
1787	index=index)))
1788	else:
1789	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1790	index=index, weight=weight)
1791
1792	msg = "Computation completed!"
1793	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1794	except:
1795	raise
1796
1797	def _calc_exception(self, etype, value, tb):
1798	"""
1799	Handle exception from calculator by posting it as an error.
1800	"""
1801	logging.error("".join(traceback.format_exception(etype, value, tb)))
1802	msg = traceback.format_exception(etype, value, tb, limit=1)
1803	evt = StatusEvent(status="".join(msg), type="stop", info="error")
1804	wx.PostEvent(self.parent, evt)
1805
1806	def _update2D(self, output, time=None):
1807	"""
1808	Update the output of plotting model
1809	"""
1810	msg = "Plot updating ... "
1811	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
1812
1813	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1814	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
1815	update_chisqr=True, source='model', plot_result=True):
1816	"""
1817	Complete get the result of modelthread and create model 2D
1818	that can be plot.
1819	"""
1820	numpy.nan_to_num(image)
1821	new_plot = Data2D(image=image, err_image=data.err_data)
1822	new_plot.name = model.name + '2d'
1823	new_plot.title = "Analytical model 2D "
1824	new_plot.id = str(page_id) + " " + data.name
1825	new_plot.group_id = str(page_id) + " Model2D"
1826	new_plot.detector = data.detector
1827	new_plot.source = data.source
1828	new_plot.is_data = False
1829	new_plot.qx_data = data.qx_data
1830	new_plot.qy_data = data.qy_data
1831	new_plot.q_data = data.q_data
1832	new_plot.mask = data.mask
1833	## plot boundaries
1834	new_plot.ymin = data.ymin
1835	new_plot.ymax = data.ymax
1836	new_plot.xmin = data.xmin
1837	new_plot.xmax = data.xmax
1838	title = data.title
1839
1840	new_plot.is_data = False
1841	if data.is_data:
1842	data_name = str(data.name)
1843	else:
1844	data_name = str(model.__class__.__name__) + '2d'
1845
1846	if len(title) > 1:
1847	new_plot.title = "Model2D for %s " % model.name + data_name
1848	new_plot.name = model.name + " [" + \
1849	data_name + "]"
1850	theory_data = deepcopy(new_plot)
1851
1852	self.page_finder[page_id].set_theory_data(data=theory_data,
1853	fid=data.id)
1854	self.parent.update_theory(data_id=data.id,
1855	theory=new_plot,
1856	state=state)
1857	current_pg = self.fit_panel.get_page_by_id(page_id)
1858	title = new_plot.title
1859	if not source == 'fit' and plot_result:
1860	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1861	title=title))
1862	if toggle_mode_on:
1863	wx.PostEvent(self.parent,
1864	NewPlotEvent(group_id=str(page_id) + " Model1D",
1865	action="Hide"))
1866	else:
1867	# Chisqr in fitpage
1868	if update_chisqr:
1869	wx.PostEvent(current_pg,
1870	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1871	weight=weight,
1872	fid=fid,
1873	page_id=page_id,
1874	index=index)))
1875	else:
1876	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1877	index=index, weight=weight)
1878	msg = "Computation completed!"
1879	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1880
1881	def _draw_model2D(self, model, page_id, qmin,
1882	qmax,
1883	data=None, smearer=None,
1884	description=None, enable2D=False,
1885	state=None,
1886	fid=None,
1887	weight=None,
1888	toggle_mode_on=False,
1889	update_chisqr=True, source='model'):
1890	"""
1891	draw model in 2D
1892
1893	:param model: instance of the model to draw
1894	:param description: the description of the model
1895	:param enable2D: when True allows to draw model 2D
1896	:param qmin: the minimum value to draw model 2D
1897	:param qmax: the maximum value to draw model 2D
1898	:param qstep: the number of division of Qx and Qy of the model to draw
1899
1900	"""
1901	if not enable2D:
1902	return None
1903	try:
1904	from model_thread import Calc2D
1905	## If a thread is already started, stop it
1906	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1907	self.calc_2D.stop()
1908	## stop just raises a flag to tell the thread to kill
1909	## itself -- see the fix in Calc1D implemented to fix
1910	## an actual problem. Seems the fix should also go here
1911	## and may be the cause of other noted instabilities
1912	##
1913	## -PDB August 12, 2014
1914	while self.calc_2D.isrunning():
1915	time.sleep(0.1)
1916	self.calc_2D = Calc2D(model=model,
1917	data=data,
1918	page_id=page_id,
1919	smearer=smearer,
1920	qmin=qmin,
1921	qmax=qmax,
1922	weight=weight,
1923	fid=fid,
1924	toggle_mode_on=toggle_mode_on,
1925	state=state,
1926	completefn=self._complete2D,
1927	update_chisqr=update_chisqr,
1928	exception_handler=self._calc_exception,
1929	source=source)
1930	self.calc_2D.queue()
1931	except:
1932	raise
1933
1934	def _draw_model1D(self, model, page_id, data,
1935	qmin, qmax, smearer=None,
1936	state=None,
1937	weight=None,
1938	fid=None,
1939	toggle_mode_on=False, update_chisqr=True, source='model',
1940	enable1D=True):
1941	"""
1942	Draw model 1D from loaded data1D
1943
1944	:param data: loaded data
1945	:param model: the model to plot
1946
1947	"""
1948	if not enable1D:
1949	return
1950	try:
1951	from model_thread import Calc1D
1952	## If a thread is already started, stop it
1953	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1954	self.calc_1D.stop()
1955	## stop just raises the flag -- the thread is supposed to
1956	## then kill itself but cannot. Paul Kienzle came up with
1957	## this fix to prevent threads from stepping on each other
1958	## which was causing a simple custom model to crash Sasview.
1959	## We still don't know why the fit sometimes lauched a second
1960	## thread -- something which should also be investigated.
1961	## The thread approach was implemented in order to be able
1962	## to lauch a computation in a separate thread from the GUI so
1963	## that the GUI can still respond to user input including
1964	## a request to stop the computation.
1965	## It seems thus that the whole thread approach used here
1966	## May need rethinking
1967	##
1968	## -PDB August 12, 2014
1969	while self.calc_1D.isrunning():
1970	time.sleep(0.1)
1971	self.calc_1D = Calc1D(data=data,
1972	model=model,
1973	page_id=page_id,
1974	qmin=qmin,
1975	qmax=qmax,
1976	smearer=smearer,
1977	state=state,
1978	weight=weight,
1979	fid=fid,
1980	toggle_mode_on=toggle_mode_on,
1981	completefn=self._complete1D,
1982	#updatefn = self._update1D,
1983	update_chisqr=update_chisqr,
1984	exception_handler=self._calc_exception,
1985	source=source)
1986	self.calc_1D.queue()
1987	except:
1988	msg = " Error occurred when drawing %s Model 1D: " % model.name
1989	msg += " %s" % sys.exc_value
1990	wx.PostEvent(self.parent, StatusEvent(status=msg))
1991
1992	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
1993	"""
1994	Get handy Chisqr using the output from draw1D and 2D,
1995	instead of calling expansive CalcChisqr in guithread
1996	"""
1997	try:
1998	data_copy = deepcopy(data)
1999	except:
2000	return
2001	# default chisqr
2002	chisqr = None
2003	#to compute chisq make sure data has valid data
2004	# return None if data == None
2005	if not check_data_validity(data_copy) or data_copy == None:
2006	return chisqr
2007
2008	# Get data: data I, theory I, and data dI in order
2009	if data_copy.__class__.__name__ == "Data2D":
2010	if index == None:
2011	index = numpy.ones(len(data_copy.data), dtype=bool)
2012	if weight != None:
2013	data_copy.err_data = weight
2014	# get rid of zero error points
2015	index = index & (data_copy.err_data != 0)
2016	index = index & (numpy.isfinite(data_copy.data))
2017	fn = data_copy.data[index]
2018	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2019	if theory_data == None:
2020	return chisqr
2021	gn = theory_data.data[index]
2022	en = data_copy.err_data[index]
2023	else:
2024	# 1 d theory from model_thread is only in the range of index
2025	if index == None:
2026	index = numpy.ones(len(data_copy.y), dtype=bool)
2027	if weight != None:
2028	data_copy.dy = weight
2029	if data_copy.dy == None or data_copy.dy == []:
2030	dy = numpy.ones(len(data_copy.y))
2031	else:
2032	## Set consistently w/AbstractFitengine:
2033	# But this should be corrected later.
2034	dy = deepcopy(data_copy.dy)
2035	dy[dy == 0] = 1
2036	fn = data_copy.y[index]
2037
2038	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2039	if theory_data == None:
2040	return chisqr
2041	gn = theory_data.y
2042	en = dy[index]
2043
2044	# residual
2045	try:
2046	res = (fn - gn) / en
2047	except ValueError:
2048	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
2049	return
2050
2051	residuals = res[numpy.isfinite(res)]
2052	# get chisqr only w/finite
2053	chisqr = numpy.average(residuals * residuals)
2054
2055	self._plot_residuals(page_id=page_id, data=data_copy,
2056	fid=fid,
2057	weight=weight, index=index)
2058
2059	return chisqr
2060
2061	def _plot_residuals(self, page_id, weight, fid=None,
2062	data=None, index=None):
2063	"""
2064	Plot the residuals
2065
2066	:param data: data
2067	:param index: index array (bool)
2068	: Note: this is different from the residuals in cal_chisqr()
2069	"""
2070	data_copy = deepcopy(data)
2071	# Get data: data I, theory I, and data dI in order
2072	if data_copy.__class__.__name__ == "Data2D":
2073	# build residuals
2074	residuals = Data2D()
2075	#residuals.copy_from_datainfo(data)
2076	# Not for trunk the line below, instead use the line above
2077	data_copy.clone_without_data(len(data_copy.data), residuals)
2078	residuals.data = None
2079	fn = data_copy.data
2080	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2081	gn = theory_data.data
2082	if weight == None:
2083	en = data_copy.err_data
2084	else:
2085	en = weight
2086	residuals.data = (fn - gn) / en
2087	residuals.qx_data = data_copy.qx_data
2088	residuals.qy_data = data_copy.qy_data
2089	residuals.q_data = data_copy.q_data
2090	residuals.err_data = numpy.ones(len(residuals.data))
2091	residuals.xmin = min(residuals.qx_data)
2092	residuals.xmax = max(residuals.qx_data)
2093	residuals.ymin = min(residuals.qy_data)
2094	residuals.ymax = max(residuals.qy_data)
2095	residuals.q_data = data_copy.q_data
2096	residuals.mask = data_copy.mask
2097	residuals.scale = 'linear'
2098	# check the lengths
2099	if len(residuals.data) != len(residuals.q_data):
2100	return
2101	else:
2102	# 1 d theory from model_thread is only in the range of index
2103	if data_copy.dy == None or data_copy.dy == []:
2104	dy = numpy.ones(len(data_copy.y))
2105	else:
2106	if weight == None:
2107	dy = numpy.ones(len(data_copy.y))
2108	## Set consitently w/AbstractFitengine:
2109	## But this should be corrected later.
2110	else:
2111	dy = weight
2112	dy[dy == 0] = 1
2113	fn = data_copy.y[index]
2114	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2115	gn = theory_data.y
2116	en = dy[index]
2117	# build residuals
2118	residuals = Data1D()
2119	try:
2120	residuals.y = (fn - gn) / en
2121	except:
2122	msg = "ResidualPlot Error: different # of data points in theory"
2123	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
2124	residuals.y = (fn - gn[index]) / en
2125	residuals.x = data_copy.x[index]
2126	residuals.dy = numpy.ones(len(residuals.y))
2127	residuals.dx = None
2128	residuals.dxl = None
2129	residuals.dxw = None
2130	residuals.ytransform = 'y'
2131	# For latter scale changes
2132	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
2133	residuals.yaxis('\\rm{Residuals} ', 'normalized')
2134	theory_name = str(theory_data.name.split()[0])
2135	new_plot = residuals
2136	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
2137	str(data.name) + "]"
2138	## allow to highlight data when plotted
2139	new_plot.interactive = True
2140	## when 2 data have the same id override the 1 st plotted
2141	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
2142	##group_id specify on which panel to plot this data
2143	group_id = self.page_finder[page_id].get_graph_id()
2144	if group_id == None:
2145	group_id = data.group_id
2146	new_plot.group_id = "res" + str(group_id)
2147	#new_plot.is_data = True
2148	##post data to plot
2149	title = new_plot.name
2150	self.page_finder[page_id].set_residuals(residuals=new_plot,
2151	fid=data.id)
2152	self.parent.update_theory(data_id=data.id, theory=new_plot)
2153	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
2154	if not batch_on:
2155	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ e28f34d

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