fitting.py @ 3563e06

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalcmagnetic_scattrelease-4.1.2release-4.2.2ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 3563e06 was 4c5098c, checked in by GitHub <noreply@…>, 8 years ago
Fixes #741 Remove P(Q), S(Q) feature
Property mode set to `100755`
File size: 88.2 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	from sas.sasgui.perspectives.fitting.gpu_options import GpuOptions
48
49	from . import models
50
51	MAX_NBR_DATA = 4
52
53	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
54
55
56	if sys.platform == "win32":
57	ON_MAC = False
58	else:
59	ON_MAC = True
60
61	import bumps.options
62	from bumps.gui.fit_dialog import show_fit_config
63	try:
64	from bumps.gui.fit_dialog import EVT_FITTER_CHANGED
65	except ImportError:
66	# CRUFT: bumps 0.7.5.8 and below
67	EVT_FITTER_CHANGED = None # type: wx.PyCommandEvent
68
69	class Plugin(PluginBase):
70	"""
71	Fitting plugin is used to perform fit
72	"""
73	def __init__(self):
74	PluginBase.__init__(self, name="Fitting")
75
76	#list of panel to send to guiframe
77	self.mypanels = []
78	# reference to the current running thread
79	self.calc_2D = None
80	self.calc_1D = None
81
82	self.color_dict = {}
83
84	self.fit_thread_list = {}
85	self.residuals = None
86	self.weight = None
87	self.fit_panel = None
88	self.plot_panel = None
89	# Start with a good default
90	self.elapsed = 0.022
91	self.fit_panel = None
92	## dictionary of page closed and id
93	self.closed_page_dict = {}
94	## Relative error desired in the sum of squares (float)
95	self.batch_reset_flag = True
96	#List of selected data
97	self.selected_data_list = []
98	## list of slicer panel created to display slicer parameters and results
99	self.slicer_panels = []
100	# model 2D view
101	self.model2D_id = None
102	#keep reference of the simultaneous fit page
103	self.sim_page = None
104	self.sim_menu = None
105	self.batch_page = None
106	self.batch_menu = None
107	self.index_model = 0
108	self.test_model_color = None
109	#Create a reader for fit page's state
110	self.state_reader = None
111	self._extensions = '.fitv'
112	self.menu1 = None
113	self.new_model_frame = None
114
115	self.temp_state = []
116	self.state_index = 0
117	self.sfile_ext = None
118	# take care of saving data, model and page associated with each other
119	self.page_finder = {}
120	# Log startup
121	logging.info("Fitting plug-in started")
122	self.batch_capable = self.get_batch_capable()
123
124	def get_batch_capable(self):
125	"""
126	Check if the plugin has a batch capability
127	"""
128	return True
129
130	def create_fit_problem(self, page_id):
131	"""
132	Given an ID create a fitproblem container
133	"""
134	self.page_finder[page_id] = FitProblemDictionary()
135
136	def delete_fit_problem(self, page_id):
137	"""
138	Given an ID create a fitproblem container
139	"""
140	if page_id in self.page_finder.iterkeys():
141	del self.page_finder[page_id]
142
143	def add_color(self, color, id):
144	"""
145	adds a color as a key with a plot id as its value to a dictionary
146	"""
147	self.color_dict[id] = color
148
149	def on_batch_selection(self, flag):
150	"""
151	switch the the notebook of batch mode or not
152	"""
153	self.batch_on = flag
154	if self.fit_panel is not None:
155	self.fit_panel.batch_on = self.batch_on
156
157	def populate_menu(self, owner):
158	"""
159	Create a menu for the Fitting plug-in
160
161	:param id: id to create a menu
162	:param owner: owner of menu
163
164	:return: list of information to populate the main menu
165
166	"""
167	#Menu for fitting
168	self.menu1 = wx.Menu()
169	id1 = wx.NewId()
170	simul_help = "Add new fit panel"
171	self.menu1.Append(id1, '&New Fit Page', simul_help)
172	wx.EVT_MENU(owner, id1, self.on_add_new_page)
173	self.menu1.AppendSeparator()
174	self.id_simfit = wx.NewId()
175	simul_help = "Constrained or Simultaneous Fit"
176	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
177	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
178	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
179	self.sim_menu.Enable(False)
180	#combined Batch
181	self.id_batchfit = wx.NewId()
182	batch_help = "Combined Batch"
183	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
184	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
185	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
186	self.batch_menu.Enable(False)
187
188	self.menu1.AppendSeparator()
189	self.id_bumps_options = wx.NewId()
190	bopts_help = "Fitting options"
191	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
192	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
193	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
194	self.bumps_options_menu.Enable(True)
195
196	self.id_gpu_options_panel = wx.NewId()
197	self.menu1.Append(self.id_gpu_options_panel, "OpenCL Options", "Choose OpenCL driver or turn it off")
198	wx.EVT_MENU(owner, self.id_gpu_options_panel, self.on_gpu_options)
199
200	self.id_result_panel = wx.NewId()
201	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
202	wx.EVT_MENU(owner, self.id_result_panel, self.on_fit_results)
203	self.menu1.AppendSeparator()
204
205	self.id_reset_flag = wx.NewId()
206	resetf_help = "BatchFit: If checked, the initial param values will be "
207	resetf_help += "propagated from the previous results. "
208	resetf_help += "Otherwise, the same initial param values will be used "
209	resetf_help += "for all fittings."
210	self.menu1.AppendCheckItem(self.id_reset_flag,
211	"Chain Fitting [BatchFit Only]",
212	resetf_help)
213	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
214	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
215	chain_menu.Check(not self.batch_reset_flag)
216	chain_menu.Enable(self.batch_on)
217
218	self.menu1.AppendSeparator()
219	self.edit_model_menu = wx.Menu()
220	# Find and put files name in menu
221	try:
222	self.set_edit_menu(owner=owner)
223	except:
224	raise
225
226	self.id_edit = wx.NewId()
227	self.menu1.AppendMenu(self.id_edit, "Plugin Model Operations",
228	self.edit_model_menu)
229	#create menubar items
230	return [(self.menu1, self.sub_menu)]
231
232	def edit_custom_model(self, event):
233	"""
234	Get the python editor panel
235	"""
236	event_id = event.GetId()
237	label = self.edit_menu.GetLabel(event_id)
238	from sas.sasgui.perspectives.calculator.pyconsole import PyConsole
239	filename = os.path.join(models.find_plugins_dir(), label)
240	frame = PyConsole(parent=self.parent, manager=self,
241	panel=self.fit_panel,
242	title='Advanced Plugin Model Editor',
243	filename=filename)
244	self.put_icon(frame)
245	frame.Show(True)
246
247	def delete_custom_model(self, event):
248	"""
249	Delete custom model file
250	"""
251	event_id = event.GetId()
252	label = self.delete_menu.GetLabel(event_id)
253	toks = os.path.splitext(label)
254	path = os.path.join(models.find_plugins_dir(), toks[0])
255	try:
256	for ext in ['.py', '.pyc']:
257	p_path = path + ext
258	os.remove(p_path)
259	self.update_custom_combo()
260	if os.path.isfile(p_path):
261	msg = "Sorry! unable to delete the default "
262	msg += "plugin model... \n"
263	msg += "Please manually remove the files (.py, .pyc) "
264	msg += "in the 'plugin_models' folder \n"
265	msg += "inside of the SasView application, "
266	msg += "and try it again."
267	wx.MessageBox(msg, 'Info')
268	#evt = StatusEvent(status=msg, type='stop', info='warning')
269	#wx.PostEvent(self.parent, evt)
270	else:
271	self.delete_menu.Delete(event_id)
272	for item in self.edit_menu.GetMenuItems():
273	if item.GetLabel() == label:
274	self.edit_menu.DeleteItem(item)
275	msg = "The plugin model, %s, has been deleted." % label
276	evt = StatusEvent(status=msg, type='stop', info='info')
277	wx.PostEvent(self.parent, evt)
278	break
279	except Exception:
280	import traceback; traceback.print_exc()
281	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
282	wx.MessageBox(msg, 'Error')
283
284	def make_sum_model(self, event):
285	"""
286	Edit summodel template and make one
287	"""
288	event_id = event.GetId()
289	model_manager = models.ModelManager()
290	model_list = model_manager.get_model_name_list()
291	plug_dir = models.find_plugins_dir()
292	textdial = TextDialog(None, self, wx.ID_ANY, 'Easy Sum/Multi(p1, p2) Editor',
293	model_list, plug_dir)
294	self.put_icon(textdial)
295	textdial.ShowModal()
296	textdial.Destroy()
297
298	def make_new_model(self, event):
299	"""
300	Make new model
301	"""
302	if self.new_model_frame != None:
303	self.new_model_frame.Show(False)
304	self.new_model_frame.Show(True)
305	else:
306	event_id = event.GetId()
307	dir_path = models.find_plugins_dir()
308	title = "New Plugin Model Function"
309	self.new_model_frame = EditorWindow(parent=self, base=self,
310	path=dir_path, title=title)
311	self.put_icon(self.new_model_frame)
312	self.new_model_frame.Show(True)
313
314	def load_plugin_models(self, event):
315	"""
316	Update of models in plugin_models folder
317	"""
318	event_id = event.GetId()
319	self.update_custom_combo()
320
321	def update_custom_combo(self):
322	"""
323	Update custom model list in the fitpage combo box
324	"""
325	custom_model = 'Plugin Models'
326	try:
327	# Update edit menus
328	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
329	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
330	temp = self.fit_panel.reset_pmodel_list()
331	if temp:
332	# Set the new plugin model list for all fit pages
333	for uid, page in self.fit_panel.opened_pages.iteritems():
334	if hasattr(page, "formfactorbox"):
335	page.model_list_box = temp
336	current_val = page.formfactorbox.GetLabel()
337	#if page.plugin_rbutton.GetValue():
338	mod_cat = page.categorybox.GetStringSelection()
339	if mod_cat == custom_model:
340	#pos = page.formfactorbox.GetSelection()
341	page._show_combox_helper()
342	new_val = page.formfactorbox.GetLabel()
343	if current_val != new_val and new_val != '':
344	page.formfactorbox.SetLabel(new_val)
345	else:
346	page.formfactorbox.SetLabel(current_val)
347	except:
348	logging.error("update_custom_combo: %s", sys.exc_value)
349
350	def set_edit_menu(self, owner):
351	"""
352	Set list of the edit model menu labels
353	"""
354	wx_id = wx.NewId()
355	#new_model_menu = wx.Menu()
356	self.edit_model_menu.Append(wx_id, 'New Plugin Model',
357	'Add a new model function')
358	wx.EVT_MENU(owner, wx_id, self.make_new_model)
359
360	wx_id = wx.NewId()
361	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
362	'Sum of two model functions')
363	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
364
365	e_id = wx.NewId()
366	self.edit_menu = wx.Menu()
367	self.edit_model_menu.AppendMenu(e_id,
368	'Advanced Plugin Editor', self.edit_menu)
369	self.set_edit_menu_helper(owner, self.edit_custom_model)
370
371	d_id = wx.NewId()
372	self.delete_menu = wx.Menu()
373	self.edit_model_menu.AppendMenu(d_id,
374	'Delete Plugin Models', self.delete_menu)
375	self.set_edit_menu_helper(owner, self.delete_custom_model)
376
377	wx_id = wx.NewId()
378	self.edit_model_menu.Append(wx_id, 'Load Plugin Models',
379	'(Re)Load all models present in user plugin_models folder')
380	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
381
382	def set_edit_menu_helper(self, owner=None, menu=None):
383	"""
384	help for setting list of the edit model menu labels
385	"""
386	if menu == None:
387	menu = self.edit_custom_model
388	list_fnames = os.listdir(models.find_plugins_dir())
389	list_fnames.sort()
390	for f_item in list_fnames:
391	name = os.path.basename(f_item)
392	toks = os.path.splitext(name)
393	if toks[-1] == '.py' and not toks[0] == '__init__':
394	if menu == self.edit_custom_model:
395	if toks[0] == 'easy_sum_of_p1_p2':
396	continue
397	submenu = self.edit_menu
398	else:
399	submenu = self.delete_menu
400	has_file = False
401	for item in submenu.GetMenuItems():
402	if name == submenu.GetLabel(item.GetId()):
403	has_file = True
404	if not has_file:
405	wx_id = wx.NewId()
406	submenu.Append(wx_id, name)
407	wx.EVT_MENU(owner, wx_id, menu)
408	has_file = False
409
410	def put_icon(self, frame):
411	"""
412	Put icon in the frame title bar
413	"""
414	if hasattr(frame, "IsIconized"):
415	if not frame.IsIconized():
416	try:
417	icon = self.parent.GetIcon()
418	frame.SetIcon(icon)
419	except:
420	pass
421
422	def on_add_sim_page(self, event):
423	"""
424	Create a page to access simultaneous fit option
425	"""
426	event_id = event.GetId()
427	caption = "Const & Simul Fit"
428	page = self.sim_page
429	if event_id == self.id_batchfit:
430	caption = "Combined Batch"
431	page = self.batch_page
432
433	def set_focus_page(page):
434	page.Show(True)
435	page.Refresh()
436	page.SetFocus()
437	#self.parent._mgr.Update()
438	msg = "%s already opened\n" % str(page.window_caption)
439	wx.PostEvent(self.parent, StatusEvent(status=msg))
440
441	if page != None:
442	return set_focus_page(page)
443	if caption == "Const & Simul Fit":
444	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
445	else:
446	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
447
448	def get_context_menu(self, plotpanel=None):
449	"""
450	Get the context menu items available for P(r).them allow fitting option
451	for Data2D and Data1D only.
452
453	:param graph: the Graph object to which we attach the context menu
454
455	:return: a list of menu items with call-back function
456
457	:note: if Data1D was generated from Theory1D
458	the fitting option is not allowed
459
460	"""
461	self.plot_panel = plotpanel
462	graph = plotpanel.graph
463	fit_option = "Select data for fitting"
464	fit_hint = "Dialog with fitting parameters "
465
466	if graph.selected_plottable not in plotpanel.plots:
467	return []
468	item = plotpanel.plots[graph.selected_plottable]
469	if item.__class__.__name__ is "Data2D":
470	if hasattr(item, "is_data"):
471	if item.is_data:
472	return [[fit_option, fit_hint, self._onSelect]]
473	else:
474	return []
475	return [[fit_option, fit_hint, self._onSelect]]
476	else:
477
478	# if is_data is true , this in an actual data loaded
479	#else it is a data created from a theory model
480	if hasattr(item, "is_data"):
481	if item.is_data:
482	return [[fit_option, fit_hint, self._onSelect]]
483	else:
484	return []
485	return [[fit_option, fit_hint, self._onSelect]]
486	return []
487
488	def get_panels(self, parent):
489	"""
490	Create and return a list of panel objects
491	"""
492	self.parent = parent
493	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
494	# Creation of the fit panel
495	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
496	self.fit_panel = FitPanel(parent=self.frame, manager=self)
497	self.frame.set_panel(self.fit_panel)
498	self._frame_set_helper()
499	self.on_add_new_page(event=None)
500	#Set the manager for the main panel
501	self.fit_panel.set_manager(self)
502	# List of windows used for the perspective
503	self.perspective = []
504	self.perspective.append(self.fit_panel.window_name)
505
506	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
507	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
508	self.perspective.append(self.result_panel.window_name)
509
510	#index number to create random model name
511	self.index_model = 0
512	self.index_theory = 0
513	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
514	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
515
516	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
517	if EVT_FITTER_CHANGED is not None:
518	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
519	self._set_fitter_label(bumps.options.FIT_CONFIG)
520
521	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
522	#Create reader when fitting panel are created
523	self.state_reader = Reader(self.set_state)
524	#append that reader to list of available reader
525	loader = Loader()
526	loader.associate_file_reader(".fitv", self.state_reader)
527	#Send the fitting panel to guiframe
528	self.mypanels.append(self.fit_panel)
529	self.mypanels.append(self.result_panel)
530	return self.mypanels
531
532	def clear_panel(self):
533	"""
534	"""
535	self.fit_panel.clear_panel()
536
537	def delete_data(self, data):
538	"""
539	delete the given data from panel
540	"""
541	self.fit_panel.delete_data(data)
542
543	def set_data(self, data_list=None):
544	"""
545	receive a list of data to fit
546	"""
547	if data_list is None:
548	data_list = []
549	selected_data_list = []
550	if self.batch_on:
551	self.add_fit_page(data=data_list)
552	else:
553	if len(data_list) > MAX_NBR_DATA:
554	from fitting_widgets import DataDialog
555	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
556	if dlg.ShowModal() == wx.ID_OK:
557	selected_data_list = dlg.get_data()
558	dlg.Destroy()
559
560	else:
561	selected_data_list = data_list
562	try:
563	group_id = wx.NewId()
564	for data in selected_data_list:
565	if data is not None:
566	# 2D has no same group_id
567	if data.__class__.__name__ == 'Data2D':
568	group_id = wx.NewId()
569	data.group_id = group_id
570	if group_id not in data.list_group_id:
571	data.list_group_id.append(group_id)
572	self.add_fit_page(data=[data])
573	except:
574	msg = "Fitting set_data: " + str(sys.exc_value)
575	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
576
577	def set_theory(self, theory_list=None):
578	"""
579	"""
580	#set the model state for a given theory_state:
581	for item in theory_list:
582	try:
583	_, theory_state = item
584	self.fit_panel.set_model_state(theory_state)
585	except Exception:
586	msg = "Fitting: cannot deal with the theory received"
587	evt = StatusEvent(status=msg, info="error")
588	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
589	wx.PostEvent(self.parent, evt)
590
591	def set_state(self, state=None, datainfo=None, format=None):
592	"""
593	Call-back method for the fit page state reader.
594	This method is called when a .fitv/.svs file is loaded.
595
596	: param state: PageState object
597	: param datainfo: data
598	"""
599	from pagestate import PageState
600	from simfitpage import SimFitPageState
601	if isinstance(state, PageState):
602	state = state.clone()
603	self.temp_state.append(state)
604	elif isinstance(state, SimFitPageState):
605	state.load_from_save_state(self)
606	else:
607	self.temp_state = []
608	# index to start with for a new set_state
609	self.state_index = 0
610	# state file format
611	self.sfile_ext = format
612
613	self.on_set_state_helper(event=None)
614
615	def on_set_state_helper(self, event=None):
616	"""
617	Set_state_helper. This actually sets state
618	after plotting data from state file.
619
620	: event: FitStateUpdateEvent called
621	by dataloader.plot_data from guiframe
622	"""
623	if len(self.temp_state) == 0:
624	if self.state_index == 0 and len(self.mypanels) <= 0 \
625	and self.sfile_ext == '.svs':
626	self.temp_state = []
627	self.state_index = 0
628	return
629
630	try:
631	# Load fitting state
632	state = self.temp_state[self.state_index]
633	#panel state should have model selection to set_state
634	if state.formfactorcombobox != None:
635	#set state
636	data = self.parent.create_gui_data(state.data)
637	data.group_id = state.data.group_id
638	self.parent.add_data(data_list={data.id: data})
639	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
640	title=data.title))
641	#need to be fix later make sure we are sendind guiframe.data
642	#to panel
643	state.data = data
644	page = self.fit_panel.set_state(state)
645	else:
646	#just set data because set_state won't work
647	data = self.parent.create_gui_data(state.data)
648	data.group_id = state.data.group_id
649	self.parent.add_data(data_list={data.id: data})
650	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
651	title=data.title))
652	page = self.add_fit_page([data])
653	caption = page.window_caption
654	self.store_data(uid=page.uid, data_list=page.get_data_list(),
655	caption=caption)
656	self.mypanels.append(page)
657
658	# get ready for the next set_state
659	self.state_index += 1
660
661	#reset state variables to default when all set_state is finished.
662	if len(self.temp_state) == self.state_index:
663
664	self.temp_state = []
665	#self.state_index = 0
666	# Make sure the user sees the fitting panel after loading
667	#self.parent.set_perspective(self.perspective)
668	self.on_perspective(event=None)
669	except:
670	self.state_index = 0
671	self.temp_state = []
672	raise
673
674	def set_param2fit(self, uid, param2fit):
675	"""
676	Set the list of param names to fit for fitprobelm
677	"""
678	self.page_finder[uid].set_param2fit(param2fit)
679
680	def set_graph_id(self, uid, graph_id):
681	"""
682	Set graph_id for fitprobelm
683	"""
684	self.page_finder[uid].set_graph_id(graph_id)
685
686	def get_graph_id(self, uid):
687	"""
688	Set graph_id for fitprobelm
689	"""
690	return self.page_finder[uid].get_graph_id()
691
692	def save_fit_state(self, filepath, fitstate):
693	"""
694	save fit page state into file
695	"""
696	self.state_reader.write(filename=filepath, fitstate=fitstate)
697
698	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
699	"""
700	Set the fit weights of a given page for all
701	its data by default. If fid is provide then set the range
702	only for the data with fid as id
703	:param uid: id corresponding to a fit page
704	:param fid: id corresponding to a fit problem (data, model)
705	:param weight: current dy data
706	"""
707	# If we are not dealing with a specific fit problem, then
708	# there is no point setting the weights.
709	if fid is None:
710	return
711	if uid in self.page_finder.keys():
712	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
713
714	def set_fit_range(self, uid, qmin, qmax, fid=None):
715	"""
716	Set the fitting range of a given page for all
717	its data by default. If fid is provide then set the range
718	only for the data with fid as id
719	:param uid: id corresponding to a fit page
720	:param fid: id corresponding to a fit problem (data, model)
721	:param qmin: minimum value of the fit range
722	:param qmax: maximum value of the fit range
723	"""
724	if uid in self.page_finder.keys():
725	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
726
727	def schedule_for_fit(self, value=0, uid=None):
728	"""
729	Set the fit problem field to 0 or 1 to schedule that problem to fit.
730	Schedule the specified fitproblem or get the fit problem related to
731	the current page and set value.
732	:param value: integer 0 or 1
733	:param uid: the id related to a page contaning fitting information
734	"""
735	if uid in self.page_finder.keys():
736	self.page_finder[uid].schedule_tofit(value)
737
738	def get_page_finder(self):
739	"""
740	return self.page_finder used also by simfitpage.py
741	"""
742	return self.page_finder
743
744	def set_page_finder(self, modelname, names, values):
745	"""
746	Used by simfitpage.py to reset a parameter given the string constrainst.
747
748	:param modelname: the name ot the model for with the parameter
749	has to reset
750	:param value: can be a string in this case.
751	:param names: the paramter name
752	"""
753	sim_page_id = self.sim_page.uid
754	for uid, value in self.page_finder.iteritems():
755	if uid != sim_page_id and uid != self.batch_page.uid:
756	model_list = value.get_model()
757	model = model_list[0]
758	if model.name == modelname:
759	value.set_model_param(names, values)
760	break
761
762	def split_string(self, item):
763	"""
764	receive a word containing dot and split it. used to split parameterset
765	name into model name and parameter name example: ::
766
767	paramaterset (item) = M1.A
768	Will return model_name = M1 , parameter name = A
769
770	"""
771	if item.find(".") >= 0:
772	param_names = re.split("\.", item)
773	model_name = param_names[0]
774	##Assume max len is 3; eg., M0.radius.width
775	if len(param_names) == 3:
776	param_name = param_names[1] + "." + param_names[2]
777	else:
778	param_name = param_names[1]
779	return model_name, param_name
780
781	def on_bumps_options(self, event=None):
782	"""
783	Open the bumps options panel.
784	"""
785	show_fit_config(self.parent, help=self.on_help)
786
787	def on_fitter_changed(self, event):
788	self._set_fitter_label(event.config)
789
790	def _set_fitter_label(self, config):
791	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
792	+ " - Active Fitting Optimizer: "
793	+ config.selected_name)
794
795	def on_help(self, algorithm_id):
796	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
797	_anchor = "#fit-"+algorithm_id
798	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
799
800
801	def on_fit_results(self, event=None):
802	"""
803	Make the Fit Results panel visible.
804	"""
805	self.result_frame.Show()
806	self.result_frame.Raise()
807
808	def on_gpu_options(self, event=None):
809	"""
810	Make the Fit Results panel visible.
811	"""
812	dialog = GpuOptions(None, wx.ID_ANY, "")
813	dialog.Show()
814
815	def stop_fit(self, uid):
816	"""
817	Stop the fit
818	"""
819	if uid in self.fit_thread_list.keys():
820	calc_fit = self.fit_thread_list[uid]
821	if calc_fit is not None and calc_fit.isrunning():
822	calc_fit.stop()
823	msg = "Fit stop!"
824	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
825	del self.fit_thread_list[uid]
826	#set the fit button label of page when fit stop is trigger from
827	#simultaneous fit pane
828	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
829	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
830	if sim_flag or batch_flag:
831	for uid, value in self.page_finder.iteritems():
832	if value.get_scheduled() == 1:
833	if uid in self.fit_panel.opened_pages.keys():
834	panel = self.fit_panel.opened_pages[uid]
835	panel._on_fit_complete()
836
837	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
838	enable_smearer=False):
839	"""
840	Get a smear object and store it to a fit problem of fid as id. If proper
841	flag is enable , will plot the theory with smearing information.
842
843	:param smearer: smear object to allow smearing data of id fid
844	:param enable_smearer: Define whether or not all (data, model) contained
845	in the structure of id uid will be smeared before fitting.
846	:param qmin: the maximum value of the theory plotting range
847	:param qmax: the maximum value of the theory plotting range
848	:param draw: Determine if the theory needs to be plot
849	"""
850	if uid not in self.page_finder.keys():
851	return
852	self.page_finder[uid].enable_smearing(flag=enable_smearer)
853	self.page_finder[uid].set_smearer(smearer, fid=fid)
854	if draw:
855	## draw model 1D with smeared data
856	data = self.page_finder[uid].get_fit_data(fid=fid)
857	if data is None:
858	msg = "set_mearer requires at least data.\n"
859	msg += "Got data = %s .\n" % str(data)
860	return
861	#raise ValueError, msg
862	model = self.page_finder[uid].get_model(fid=fid)
863	if model is None:
864	return
865	enable1D = issubclass(data.__class__, Data1D)
866	enable2D = issubclass(data.__class__, Data2D)
867	## if user has already selected a model to plot
868	## redraw the model with data smeared
869	smear = self.page_finder[uid].get_smearer(fid=fid)
870
871	# compute weight for the current data
872	weight = self.page_finder[uid].get_weight(fid=fid)
873
874	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
875	enable1D=enable1D, enable2D=enable2D,
876	qmin=qmin, qmax=qmax, weight=weight)
877
878	def _mac_sleep(self, sec=0.2):
879	"""
880	Give sleep to MAC
881	"""
882	if ON_MAC:
883	time.sleep(sec)
884
885	def draw_model(self, model, page_id, data=None, smearer=None,
886	enable1D=True, enable2D=False,
887	state=None,
888	fid=None,
889	toggle_mode_on=False,
890	qmin=None, qmax=None,
891	update_chisqr=True, weight=None, source='model'):
892	"""
893	Draw model.
894
895	:param model: the model to draw
896	:param name: the name of the model to draw
897	:param data: the data on which the model is based to be drawn
898	:param description: model's description
899	:param enable1D: if true enable drawing model 1D
900	:param enable2D: if true enable drawing model 2D
901	:param qmin: Range's minimum value to draw model
902	:param qmax: Range's maximum value to draw model
903	:param qstep: number of step to divide the x and y-axis
904	:param update_chisqr: update chisqr [bool]
905
906	"""
907	#self.weight = weight
908	if issubclass(data.__class__, Data1D) or not enable2D:
909	## draw model 1D with no loaded data
910	self._draw_model1D(model=model,
911	data=data,
912	page_id=page_id,
913	enable1D=enable1D,
914	smearer=smearer,
915	qmin=qmin,
916	qmax=qmax,
917	fid=fid,
918	weight=weight,
919	toggle_mode_on=toggle_mode_on,
920	state=state,
921	update_chisqr=update_chisqr,
922	source=source)
923	else:
924	## draw model 2D with no initial data
925	self._draw_model2D(model=model,
926	page_id=page_id,
927	data=data,
928	enable2D=enable2D,
929	smearer=smearer,
930	qmin=qmin,
931	qmax=qmax,
932	fid=fid,
933	weight=weight,
934	state=state,
935	toggle_mode_on=toggle_mode_on,
936	update_chisqr=update_chisqr,
937	source=source)
938
939	def onFit(self, uid):
940	"""
941	Get series of data, model, associates parameters and range and send then
942	to series of fitters. Fit data and model, display result to
943	corresponding panels.
944	:param uid: id related to the panel currently calling this fit function.
945	"""
946	if uid is None: raise RuntimeError("no page to fit") # Should never happen
947
948	sim_page_uid = getattr(self.sim_page, 'uid', None)
949	batch_page_uid = getattr(self.batch_page, 'uid', None)
950
951	if uid == sim_page_uid:
952	fit_type = 'simultaneous'
953	elif uid == batch_page_uid:
954	fit_type = 'combined_batch'
955	else:
956	fit_type = 'single'
957
958	fitter_list = []
959	sim_fitter = None
960	if fit_type == 'simultaneous':
961	# for simultaneous fitting only one fitter is needed
962	sim_fitter = Fit()
963	sim_fitter.fitter_id = self.sim_page.uid
964	fitter_list.append(sim_fitter)
965
966	self.current_pg = None
967	list_page_id = []
968	fit_id = 0
969	for page_id, page_info in self.page_finder.iteritems():
970	# For simulfit (uid give with None), do for-loop
971	# if uid is specified (singlefit), do it only on the page.
972	if page_id in (sim_page_uid, batch_page_uid): continue
973	if fit_type == "single" and page_id != uid: continue
974
975	try:
976	if page_info.get_scheduled() == 1:
977	page_info.nbr_residuals_computed = 0
978	page = self.fit_panel.get_page_by_id(page_id)
979	self.set_fit_weight(uid=page.uid,
980	flag=page.get_weight_flag(),
981	is2d=page._is_2D())
982	if not page.param_toFit:
983	msg = "No fitting parameters for %s" % page.window_caption
984	evt = StatusEvent(status=msg, info="error", type="stop")
985	wx.PostEvent(page.parent.parent, evt)
986	return False
987	if not page._update_paramv_on_fit():
988	msg = "Fitting range or parameter values are"
989	msg += " invalid in %s" % \
990	page.window_caption
991	evt = StatusEvent(status=msg, info="error", type="stop")
992	wx.PostEvent(page.parent.parent, evt)
993	return False
994
995	pars = [str(element[1]) for element in page.param_toFit]
996	fitproblem_list = page_info.values()
997	for fitproblem in fitproblem_list:
998	if sim_fitter is None:
999	fitter = Fit()
1000	fitter.fitter_id = page_id
1001	fitter_list.append(fitter)
1002	else:
1003	fitter = sim_fitter
1004	self._add_problem_to_fit(fitproblem=fitproblem,
1005	pars=pars,
1006	fitter=fitter,
1007	fit_id=fit_id)
1008	fit_id += 1
1009	list_page_id.append(page_id)
1010	page_info.clear_model_param()
1011	except KeyboardInterrupt:
1012	msg = "Fitting terminated"
1013	evt = StatusEvent(status=msg, info="info", type="stop")
1014	wx.PostEvent(self.parent, evt)
1015	return True
1016	except:
1017	raise
1018	msg = "Fitting error: %s" % str(sys.exc_value)
1019	evt = StatusEvent(status=msg, info="error", type="stop")
1020	wx.PostEvent(self.parent, evt)
1021	return False
1022	## If a thread is already started, stop it
1023	#if self.calc_fit!= None and self.calc_fit.isrunning():
1024	# self.calc_fit.stop()
1025	msg = "Fitting is in progress..."
1026	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
1027
1028	#Handler used to display fit message
1029	handler = ConsoleUpdate(parent=self.parent,
1030	manager=self,
1031	improvement_delta=0.1)
1032	self._mac_sleep(0.2)
1033
1034	# batch fit
1035	batch_inputs = {}
1036	batch_outputs = {}
1037	if fit_type == "simultaneous":
1038	page = self.sim_page
1039	elif fit_type == "combined_batch":
1040	page = self.batch_page
1041	else:
1042	page = self.fit_panel.get_page_by_id(uid)
1043	if page.batch_on:
1044	calc_fit = FitThread(handler=handler,
1045	fn=fitter_list,
1046	pars=pars,
1047	batch_inputs=batch_inputs,
1048	batch_outputs=batch_outputs,
1049	page_id=list_page_id,
1050	completefn=self._batch_fit_complete,
1051	reset_flag=self.batch_reset_flag)
1052	else:
1053	## Perform more than 1 fit at the time
1054	calc_fit = FitThread(handler=handler,
1055	fn=fitter_list,
1056	batch_inputs=batch_inputs,
1057	batch_outputs=batch_outputs,
1058	page_id=list_page_id,
1059	updatefn=handler.update_fit,
1060	completefn=self._fit_completed)
1061	#self.fit_thread_list[current_page_id] = calc_fit
1062	self.fit_thread_list[uid] = calc_fit
1063	calc_fit.queue()
1064	calc_fit.ready(2.5)
1065	msg = "Fitting is in progress..."
1066	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
1067
1068	return True
1069
1070	def remove_plot(self, uid, fid=None, theory=False):
1071	"""
1072	remove model plot when a fit page is closed
1073	:param uid: the id related to the fitpage to close
1074	:param fid: the id of the fitproblem(data, model, range,etc)
1075	"""
1076	if uid not in self.page_finder.keys():
1077	return
1078	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
1079	for fitproblem in fitproblemList:
1080	data = fitproblem.get_fit_data()
1081	model = fitproblem.get_model()
1082	plot_id = None
1083	if model is not None:
1084	plot_id = data.id + model.name
1085	if theory:
1086	plot_id = data.id + model.name
1087	group_id = data.group_id
1088	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
1089	group_id=group_id,
1090	action='remove'))
1091
1092	def store_data(self, uid, data_list=None, caption=None):
1093	"""
1094	Recieve a list of data and store them ans well as a caption of
1095	the fit page where they come from.
1096	:param uid: if related to a fit page
1097	:param data_list: list of data to fit
1098	:param caption: caption of the window related to these data
1099	"""
1100	if data_list is None:
1101	data_list = []
1102
1103	self.page_finder[uid].set_fit_data(data=data_list)
1104	if caption is not None:
1105	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1106
1107	def on_add_new_page(self, event=None):
1108	"""
1109	ask fit panel to create a new empty page
1110	"""
1111	try:
1112	page = self.fit_panel.add_empty_page()
1113	# add data associated to the page created
1114	if page != None:
1115	evt = StatusEvent(status="Page Created", info="info")
1116	wx.PostEvent(self.parent, evt)
1117	else:
1118	msg = "Page was already Created"
1119	evt = StatusEvent(status=msg, info="warning")
1120	wx.PostEvent(self.parent, evt)
1121	except:
1122	msg = "Creating Fit page: %s" % sys.exc_value
1123	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
1124
1125	def add_fit_page(self, data):
1126	"""
1127	given a data, ask to the fitting panel to create a new fitting page,
1128	get this page and store it into the page_finder of this plug-in
1129	:param data: is a list of data
1130	"""
1131	page = self.fit_panel.set_data(data)
1132	# page could be None when loading state files
1133	if page == None:
1134	return page
1135	#append Data1D to the panel containing its theory
1136	#if theory already plotted
1137	if page.uid in self.page_finder:
1138	data = page.get_data()
1139	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
1140	if issubclass(data.__class__, Data2D):
1141	data.group_id = wx.NewId()
1142	if theory_data is not None:
1143	group_id = str(page.uid) + " Model1D"
1144	wx.PostEvent(self.parent,
1145	NewPlotEvent(group_id=group_id,
1146	action="delete"))
1147	self.parent.update_data(prev_data=theory_data,
1148	new_data=data)
1149	else:
1150	if theory_data is not None:
1151	group_id = str(page.uid) + " Model2D"
1152	data.group_id = theory_data.group_id
1153	wx.PostEvent(self.parent,
1154	NewPlotEvent(group_id=group_id,
1155	action="delete"))
1156	self.parent.update_data(prev_data=theory_data,
1157	new_data=data)
1158	self.store_data(uid=page.uid, data_list=page.get_data_list(),
1159	caption=page.window_caption)
1160	if self.sim_page is not None and not self.batch_on:
1161	self.sim_page.draw_page()
1162	if self.batch_page is not None and self.batch_on:
1163	self.batch_page.draw_page()
1164
1165	return page
1166
1167	def _onEVT_SLICER_PANEL(self, event):
1168	"""
1169	receive and event telling to update a panel with a name starting with
1170	event.panel_name. this method update slicer panel
1171	for a given interactor.
1172
1173	:param event: contains type of slicer , paramaters for updating
1174	the panel and panel_name to find the slicer 's panel concerned.
1175	"""
1176	event.panel_name
1177	for item in self.parent.panels:
1178	name = event.panel_name
1179	if self.parent.panels[item].window_caption.startswith(name):
1180	self.parent.panels[item].set_slicer(event.type, event.params)
1181
1182	#self.parent._mgr.Update()
1183
1184	def _closed_fitpage(self, event):
1185	"""
1186	request fitpanel to close a given page when its unique data is removed
1187	from the plot. close fitpage only when the a loaded data is removed
1188	"""
1189	if event is None or event.data is None:
1190	return
1191	if hasattr(event.data, "is_data"):
1192	if not event.data.is_data or \
1193	event.data.__class__.__name__ == "Data1D":
1194	self.fit_panel.close_page_with_data(event.data)
1195
1196	def _reset_schedule_problem(self, value=0, uid=None):
1197	"""
1198	unschedule or schedule all fitproblem to be fit
1199	"""
1200	# case that uid is not specified
1201	if uid == None:
1202	for page_id in self.page_finder.keys():
1203	self.page_finder[page_id].schedule_tofit(value)
1204	# when uid is given
1205	else:
1206	if uid in self.page_finder.keys():
1207	self.page_finder[uid].schedule_tofit(value)
1208
1209	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
1210	"""
1211	Create and set fitter with series of data and model
1212	"""
1213	data = fitproblem.get_fit_data()
1214	model = fitproblem.get_model()
1215	smearer = fitproblem.get_smearer()
1216	qmin, qmax = fitproblem.get_range()
1217
1218	#Extra list of parameters and their constraints
1219	listOfConstraint = []
1220	param = fitproblem.get_model_param()
1221	if len(param) > 0:
1222	for item in param:
1223	## check if constraint
1224	if item[0] != None and item[1] != None:
1225	listOfConstraint.append((item[0], item[1]))
1226	new_model = model
1227	fitter.set_model(new_model, fit_id, pars, data=data,
1228	constraints=listOfConstraint)
1229	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
1230	qmax=qmax)
1231	fitter.select_problem_for_fit(id=fit_id, value=1)
1232
1233	def _onSelect(self, event):
1234	"""
1235	when Select data to fit a new page is created .Its reference is
1236	added to self.page_finder
1237	"""
1238	panel = self.plot_panel
1239	if panel == None:
1240	raise ValueError, "Fitting:_onSelect: NonType panel"
1241	Plugin.on_perspective(self, event=event)
1242	self.select_data(panel)
1243
1244	def select_data(self, panel):
1245	"""
1246	"""
1247	for plottable in panel.graph.plottables:
1248	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
1249	data_id = panel.graph.selected_plottable
1250	if plottable == panel.plots[data_id]:
1251	data = plottable
1252	self.add_fit_page(data=[data])
1253	return
1254	else:
1255	data = plottable
1256	self.add_fit_page(data=[data])
1257
1258	def update_fit(self, result=None, msg=""):
1259	"""
1260	"""
1261	print "update_fit result", result
1262
1263	def _batch_fit_complete(self, result, pars, page_id,
1264	batch_outputs, batch_inputs, elapsed=None):
1265	"""
1266	Display fit result in batch
1267	:param result: list of objects received from fitters
1268	:param pars: list of fitted parameters names
1269	:param page_id: list of page ids which called fit function
1270	:param elapsed: time spent at the fitting level
1271	"""
1272	self._mac_sleep(0.2)
1273	uid = page_id[0]
1274	if uid in self.fit_thread_list.keys():
1275	del self.fit_thread_list[uid]
1276
1277	wx.CallAfter(self._update_fit_button, page_id)
1278	t1 = time.time()
1279	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1280	msg = "Fit completed on %s \n" % str_time
1281	msg += "Duration time: %s s.\n" % str(elapsed)
1282	evt = StatusEvent(status=msg, info="info", type="stop")
1283	wx.PostEvent(self.parent, evt)
1284
1285	if batch_outputs is None:
1286	batch_outputs = {}
1287
1288	# format batch_outputs
1289	batch_outputs["Chi2"] = []
1290	#Don't like these loops
1291	# Need to create dictionary of all fitted parameters
1292	# since the number of parameters can differ between each fit result
1293	for list_res in result:
1294	for res in list_res:
1295	model, data = res.inputs[0]
1296	if model is not None and hasattr(model, "model"):
1297	model = model.model
1298	#get all fittable parameters of the current model
1299	for param in model.getParamList():
1300	if param not in batch_outputs.keys():
1301	batch_outputs[param] = []
1302	for param in model.getDispParamList():
1303	if not model.is_fittable(param) and \
1304	param in batch_outputs.keys():
1305	del batch_outputs[param]
1306	# Add fitted parameters and their error
1307	for param in res.param_list:
1308	if param not in batch_outputs.keys():
1309	batch_outputs[param] = []
1310	err_param = "error on %s" % str(param)
1311	if err_param not in batch_inputs.keys():
1312	batch_inputs[err_param] = []
1313	msg = ""
1314	for list_res in result:
1315	for res in list_res:
1316	pid = res.fitter_id
1317	model, data = res.inputs[0]
1318	correct_result = False
1319	if model is not None and hasattr(model, "model"):
1320	model = model.model
1321	if data is not None and hasattr(data, "sas_data"):
1322	data = data.sas_data
1323
1324	is_data2d = issubclass(data.__class__, Data2D)
1325	#check consistency of arrays
1326	if not is_data2d:
1327	if len(res.theory) == len(res.index[res.index]) and \
1328	len(res.index) == len(data.y):
1329	correct_result = True
1330	else:
1331	copy_data = deepcopy(data)
1332	new_theory = copy_data.data
1333	new_theory[res.index] = res.theory
1334	new_theory[res.index == False] = numpy.nan
1335	correct_result = True
1336	#get all fittable parameters of the current model
1337	param_list = model.getParamList()
1338	for param in model.getDispParamList():
1339	if not model.is_fittable(param) and \
1340	param in param_list:
1341	param_list.remove(param)
1342	if not correct_result or res.fitness is None or \
1343	not numpy.isfinite(res.fitness) or \
1344	numpy.any(res.pvec == None) or not \
1345	numpy.all(numpy.isfinite(res.pvec)):
1346	data_name = str(None)
1347	if data is not None:
1348	data_name = str(data.name)
1349	model_name = str(None)
1350	if model is not None:
1351	model_name = str(model.name)
1352	msg += "Data %s and Model %s did not fit.\n" % (data_name,
1353	model_name)
1354	ERROR = numpy.NAN
1355	cell = BatchCell()
1356	cell.label = res.fitness
1357	cell.value = res.fitness
1358	batch_outputs["Chi2"].append(ERROR)
1359	for param in param_list:
1360	# save value of fixed parameters
1361	if param not in res.param_list:
1362	batch_outputs[str(param)].append(ERROR)
1363	else:
1364	#save only fitted values
1365	batch_outputs[param].append(ERROR)
1366	batch_inputs["error on %s" % str(param)].append(ERROR)
1367	else:
1368	# TODO: Why sometimes res.pvec comes with numpy.float64?
1369	# probably from scipy lmfit
1370	if res.pvec.__class__ == numpy.float64:
1371	res.pvec = [res.pvec]
1372
1373	cell = BatchCell()
1374	cell.label = res.fitness
1375	cell.value = res.fitness
1376	batch_outputs["Chi2"].append(cell)
1377	# add parameters to batch_results
1378	for param in param_list:
1379	# save value of fixed parameters
1380	if param not in res.param_list:
1381	batch_outputs[str(param)].append(model.getParam(param))
1382	else:
1383	index = res.param_list.index(param)
1384	#save only fitted values
1385	batch_outputs[param].append(res.pvec[index])
1386	if res.stderr is not None and \
1387	len(res.stderr) == len(res.param_list):
1388	item = res.stderr[index]
1389	batch_inputs["error on %s" % param].append(item)
1390	else:
1391	batch_inputs["error on %s" % param].append('-')
1392	model.setParam(param, res.pvec[index])
1393	#fill the batch result with emtpy value if not in the current
1394	#model
1395	EMPTY = "-"
1396	for key in batch_outputs.keys():
1397	if key not in param_list and key not in ["Chi2", "Data"]:
1398	batch_outputs[key].append(EMPTY)
1399
1400	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
1401	batch_outputs=batch_outputs)
1402
1403	cpage = self.fit_panel.get_page_by_id(pid)
1404	cpage._on_fit_complete()
1405	self.page_finder[pid][data.id].set_result(res)
1406	fitproblem = self.page_finder[pid][data.id]
1407	qmin, qmax = fitproblem.get_range()
1408	plot_result = False
1409	if correct_result:
1410	if not is_data2d:
1411	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
1412	elapsed=None,
1413	index=res.index, model=model,
1414	weight=None, fid=data.id,
1415	toggle_mode_on=False, state=None,
1416	data=data, update_chisqr=False,
1417	source='fit', plot_result=plot_result)
1418	else:
1419	self._complete2D(image=new_theory, data=data,
1420	model=model,
1421	page_id=pid, elapsed=None,
1422	index=res.index,
1423	qmin=qmin,
1424	qmax=qmax, fid=data.id, weight=None,
1425	toggle_mode_on=False, state=None,
1426	update_chisqr=False,
1427	source='fit', plot_result=plot_result)
1428	self.on_set_batch_result(page_id=pid,
1429	fid=data.id,
1430	batch_outputs=batch_outputs,
1431	batch_inputs=batch_inputs)
1432
1433	evt = StatusEvent(status=msg, error="info", type="stop")
1434	wx.PostEvent(self.parent, evt)
1435	# Remove parameters that are not shown
1436	cpage = self.fit_panel.get_page_by_id(uid)
1437	tbatch_outputs = {}
1438	shownkeystr = cpage.get_copy_params()
1439	for key in batch_outputs.keys():
1440	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
1441	tbatch_outputs[key] = batch_outputs[key]
1442
1443	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
1444	batch_inputs, self.sub_menu)
1445
1446	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
1447	"""
1448	"""
1449	pid = page_id
1450	if fid not in self.page_finder[pid]:
1451	return
1452	fitproblem = self.page_finder[pid][fid]
1453	index = self.page_finder[pid].nbr_residuals_computed - 1
1454	residuals = fitproblem.get_residuals()
1455	theory_data = fitproblem.get_theory_data()
1456	data = fitproblem.get_fit_data()
1457	model = fitproblem.get_model()
1458	#fill batch result information
1459	if "Data" not in batch_outputs.keys():
1460	batch_outputs["Data"] = []
1461	from sas.sasgui.guiframe.data_processor import BatchCell
1462	cell = BatchCell()
1463	cell.label = data.name
1464	cell.value = index
1465
1466	if theory_data != None:
1467	#Suucessful fit
1468	theory_data.id = wx.NewId()
1469	theory_data.name = model.name + "[%s]" % str(data.name)
1470	if issubclass(theory_data.__class__, Data2D):
1471	group_id = wx.NewId()
1472	theory_data.group_id = group_id
1473	if group_id not in theory_data.list_group_id:
1474	theory_data.list_group_id.append(group_id)
1475
1476	try:
1477	# associate residuals plot
1478	if issubclass(residuals.__class__, Data2D):
1479	group_id = wx.NewId()
1480	residuals.group_id = group_id
1481	if group_id not in residuals.list_group_id:
1482	residuals.list_group_id.append(group_id)
1483	batch_outputs["Chi2"][index].object = [residuals]
1484	except:
1485	pass
1486
1487	cell.object = [data, theory_data]
1488	batch_outputs["Data"].append(cell)
1489	for key, value in data.meta_data.iteritems():
1490	if key not in batch_inputs.keys():
1491	batch_inputs[key] = []
1492	#if key.lower().strip() != "loader":
1493	batch_inputs[key].append(value)
1494	param = "temperature"
1495	if hasattr(data.sample, param):
1496	if param not in batch_inputs.keys():
1497	batch_inputs[param] = []
1498	batch_inputs[param].append(data.sample.temperature)
1499
1500	def _fit_completed(self, result, page_id, batch_outputs,
1501	batch_inputs=None, pars=None, elapsed=None):
1502	"""
1503	Display result of the fit on related panel(s).
1504	:param result: list of object generated when fit ends
1505	:param pars: list of names of parameters fitted
1506	:param page_id: list of page ids which called fit function
1507	:param elapsed: time spent at the fitting level
1508	"""
1509	t1 = time.time()
1510	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1511	msg = "Fit completed on %s \n" % str_time
1512	msg += "Duration time: %s s.\n" % str(elapsed)
1513	evt = StatusEvent(status=msg, info="info", type="stop")
1514	wx.PostEvent(self.parent, evt)
1515	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
1516	wx.CallAfter(self._update_fit_button, page_id)
1517	result = result[0]
1518	self.fit_thread_list = {}
1519	if page_id is None:
1520	page_id = []
1521	## fit more than 1 model at the same time
1522	self._mac_sleep(0.2)
1523	try:
1524	index = 0
1525	# Update potential simfit page(s)
1526	if self.sim_page is not None:
1527	self.sim_page._on_fit_complete()
1528	if self.batch_page:
1529	self.batch_page._on_fit_complete()
1530	# Update all fit pages
1531	for uid in page_id:
1532	res = result[index]
1533	fit_msg = res.mesg
1534	if res.fitness is None or \
1535	not numpy.isfinite(res.fitness) or \
1536	numpy.any(res.pvec == None) or \
1537	not numpy.all(numpy.isfinite(res.pvec)):
1538	fit_msg += "\nFitting did not converge!!!"
1539	wx.CallAfter(self._update_fit_button, page_id)
1540	else:
1541	#set the panel when fit result are float not list
1542	if res.pvec.__class__ == numpy.float64:
1543	pvec = [res.pvec]
1544	else:
1545	pvec = res.pvec
1546	if res.stderr.__class__ == numpy.float64:
1547	stderr = [res.stderr]
1548	else:
1549	stderr = res.stderr
1550	cpage = self.fit_panel.get_page_by_id(uid)
1551	# Make sure we got all results
1552	#(CallAfter is important to MAC)
1553	try:
1554	#if res != None:
1555	wx.CallAfter(cpage.onsetValues, res.fitness,
1556	res.param_list,
1557	pvec, stderr)
1558	index += 1
1559	wx.CallAfter(cpage._on_fit_complete)
1560	except KeyboardInterrupt:
1561	fit_msg += "\nSingular point: Fitting stopped."
1562	except:
1563	fit_msg += "\nSingular point: Fitting error occurred."
1564	if fit_msg:
1565	evt = StatusEvent(status=fit_msg, info="warning", type="stop")
1566	wx.PostEvent(self.parent, evt)
1567
1568	except:
1569	msg = ("Fit completed but the following error occurred: %s"
1570	% sys.exc_value)
1571	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
1572	evt = StatusEvent(status=msg, info="warning", type="stop")
1573	wx.PostEvent(self.parent, evt)
1574
1575	def _update_fit_button(self, page_id):
1576	"""
1577	Update Fit button when fit stopped
1578
1579	: parameter page_id: fitpage where the button is
1580	"""
1581	if page_id.__class__.__name__ != 'list':
1582	page_id = [page_id]
1583	for uid in page_id:
1584	page = self.fit_panel.get_page_by_id(uid)
1585	page._on_fit_complete()
1586
1587	def _on_show_panel(self, event):
1588	"""
1589	"""
1590	pass
1591
1592	def on_reset_batch_flag(self, event):
1593	"""
1594	Set batch_reset_flag
1595	"""
1596	event.Skip()
1597	if self.menu1 == None:
1598	return
1599	menu_item = self.menu1.FindItemById(self.id_reset_flag)
1600	flag = menu_item.IsChecked()
1601	if not flag:
1602	menu_item.Check(False)
1603	self.batch_reset_flag = True
1604	else:
1605	menu_item.Check(True)
1606	self.batch_reset_flag = False
1607
1608	## post a message to status bar
1609	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
1610	wx.PostEvent(self.parent, StatusEvent(status=msg))
1611
1612
1613	def _on_slicer_event(self, event):
1614	"""
1615	Receive a panel as event and send it to guiframe
1616
1617	:param event: event containing a panel
1618
1619	"""
1620	if event.panel is not None:
1621	self.slicer_panels.append(event.panel)
1622	# Set group ID if available
1623	event_id = self.parent.popup_panel(event.panel)
1624	event.panel.uid = event_id
1625	self.mypanels.append(event.panel)
1626
1627	def _onclearslicer(self, event):
1628	"""
1629	Clear the boxslicer when close the panel associate with this slicer
1630	"""
1631	name = event.GetEventObject().frame.GetTitle()
1632	for panel in self.slicer_panels:
1633	if panel.window_caption == name:
1634
1635	for item in self.parent.panels:
1636	if hasattr(self.parent.panels[item], "uid"):
1637	if self.parent.panels[item].uid == panel.base.uid:
1638	self.parent.panels[item].onClearSlicer(event)
1639	#self.parent._mgr.Update()
1640	break
1641	break
1642
1643	def _on_model_panel(self, evt):
1644	"""
1645	react to model selection on any combo box or model menu.plot the model
1646
1647	:param evt: wx.combobox event
1648
1649	"""
1650	model = evt.model
1651	uid = evt.uid
1652	qmin = evt.qmin
1653	qmax = evt.qmax
1654	caption = evt.caption
1655	enable_smearer = evt.enable_smearer
1656	if model == None:
1657	return
1658	if uid not in self.page_finder.keys():
1659	return
1660	# save the name containing the data name with the appropriate model
1661	self.page_finder[uid].set_model(model)
1662	self.page_finder[uid].enable_smearing(enable_smearer)
1663	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1664	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1665	if self.sim_page is not None and not self.batch_on:
1666	self.sim_page.draw_page()
1667	if self.batch_page is not None and self.batch_on:
1668	self.batch_page.draw_page()
1669
1670	def _update1D(self, x, output):
1671	"""
1672	Update the output of plotting model 1D
1673	"""
1674	msg = "Plot updating ... "
1675	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
1676
1677	def create_theory_1D(self, x, y, page_id, model, data, state,
1678	data_description, data_id, dy=None):
1679	"""
1680	Create a theory object associate with an existing Data1D
1681	and add it to the data manager.
1682	@param x: x-values of the data
1683	@param y: y_values of the data
1684	@param page_id: fit page ID
1685	@param model: model used for fitting
1686	@param data: Data1D object to create the theory for
1687	@param state: model state
1688	@param data_description: title to use in the data manager
1689	@param data_id: unique data ID
1690	"""
1691	new_plot = Data1D(x=x, y=y)
1692	if dy is None:
1693	new_plot.is_data = False
1694	new_plot.dy = numpy.zeros(len(y))
1695	# If this is a theory curve, pick the proper symbol to make it a curve
1696	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1697	else:
1698	new_plot.is_data = True
1699	new_plot.dy = dy
1700	new_plot.interactive = True
1701	new_plot.dx = None
1702	new_plot.dxl = None
1703	new_plot.dxw = None
1704	_yaxis, _yunit = data.get_yaxis()
1705	_xaxis, _xunit = data.get_xaxis()
1706	new_plot.title = data.name
1707	new_plot.group_id = data.group_id
1708	if new_plot.group_id == None:
1709	new_plot.group_id = data.group_id
1710	new_plot.id = data_id
1711	# Find if this theory was already plotted and replace that plot given
1712	# the same id
1713	self.page_finder[page_id].get_theory_data(fid=data.id)
1714
1715	if data.is_data:
1716	data_name = str(data.name)
1717	else:
1718	data_name = str(model.__class__.__name__)
1719
1720	new_plot.name = data_description + " [" + data_name + "]"
1721	new_plot.xaxis(_xaxis, _xunit)
1722	new_plot.yaxis(_yaxis, _yunit)
1723	self.page_finder[page_id].set_theory_data(data=new_plot,
1724	fid=data.id)
1725	self.parent.update_theory(data_id=data.id, theory=new_plot,
1726	state=state)
1727	return new_plot
1728
1729	def _complete1D(self, x, y, page_id, elapsed, index, model,
1730	weight=None, fid=None,
1731	toggle_mode_on=False, state=None,
1732	data=None, update_chisqr=True,
1733	source='model', plot_result=True,
1734	unsmeared_model=None, unsmeared_data=None,
1735	unsmeared_error=None, sq_model=None, pq_model=None):
1736	"""
1737	Complete plotting 1D data
1738	@param unsmeared_model: fit model, without smearing
1739	@param unsmeared_data: data, rescaled to unsmeared model
1740	@param unsmeared_error: data error, rescaled to unsmeared model
1741	"""
1742	try:
1743	numpy.nan_to_num(y)
1744	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
1745	data_description=model.name,
1746	data_id=str(page_id) + " " + data.name)
1747	if unsmeared_model is not None:
1748	self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
1749	data_description=model.name + " unsmeared",
1750	data_id=str(page_id) + " " + data.name + " unsmeared")
1751
1752	if unsmeared_data is not None and unsmeared_error is not None:
1753	self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
1754	data_description="Data unsmeared",
1755	data_id="Data " + data.name + " unsmeared",
1756	dy=unsmeared_error)
1757	# Comment this out until we can get P*S models with correctly populated parameters
1758	#if sq_model is not None and pq_model is not None:
1759	# self.create_theory_1D(x, sq_model, page_id, model, data, state,
1760	# data_description=model.name + " S(q)",
1761	# data_id=str(page_id) + " " + data.name + " S(q)")
1762	# self.create_theory_1D(x, pq_model, page_id, model, data, state,
1763	# data_description=model.name + " P(q)",
1764	# data_id=str(page_id) + " " + data.name + " P(q)")
1765
1766	current_pg = self.fit_panel.get_page_by_id(page_id)
1767	title = new_plot.title
1768	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1769	if not batch_on:
1770	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1771	title=str(title)))
1772	elif plot_result:
1773	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
1774	if data.id == top_data_id:
1775	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1776	title=str(title)))
1777	caption = current_pg.window_caption
1778	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
1779
1780	self.page_finder[page_id].set_theory_data(data=new_plot,
1781	fid=data.id)
1782	if toggle_mode_on:
1783	wx.PostEvent(self.parent,
1784	NewPlotEvent(group_id=str(page_id) + " Model2D",
1785	action="Hide"))
1786	else:
1787	if update_chisqr:
1788	wx.PostEvent(current_pg,
1789	Chi2UpdateEvent(output=self._cal_chisqr(
1790	data=data,
1791	fid=fid,
1792	weight=weight,
1793	page_id=page_id,
1794	index=index)))
1795	else:
1796	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1797	index=index, weight=weight)
1798
1799	msg = "Computation completed!"
1800	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1801	except:
1802	raise
1803
1804	def _calc_exception(self, etype, value, tb):
1805	"""
1806	Handle exception from calculator by posting it as an error.
1807	"""
1808	logging.error("".join(traceback.format_exception(etype, value, tb)))
1809	msg = traceback.format_exception(etype, value, tb, limit=1)
1810	evt = StatusEvent(status="".join(msg), type="stop", info="error")
1811	wx.PostEvent(self.parent, evt)
1812
1813	def _update2D(self, output, time=None):
1814	"""
1815	Update the output of plotting model
1816	"""
1817	msg = "Plot updating ... "
1818	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
1819
1820	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1821	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
1822	update_chisqr=True, source='model', plot_result=True):
1823	"""
1824	Complete get the result of modelthread and create model 2D
1825	that can be plot.
1826	"""
1827	numpy.nan_to_num(image)
1828	new_plot = Data2D(image=image, err_image=data.err_data)
1829	new_plot.name = model.name + '2d'
1830	new_plot.title = "Analytical model 2D "
1831	new_plot.id = str(page_id) + " " + data.name
1832	new_plot.group_id = str(page_id) + " Model2D"
1833	new_plot.detector = data.detector
1834	new_plot.source = data.source
1835	new_plot.is_data = False
1836	new_plot.qx_data = data.qx_data
1837	new_plot.qy_data = data.qy_data
1838	new_plot.q_data = data.q_data
1839	new_plot.mask = data.mask
1840	## plot boundaries
1841	new_plot.ymin = data.ymin
1842	new_plot.ymax = data.ymax
1843	new_plot.xmin = data.xmin
1844	new_plot.xmax = data.xmax
1845	title = data.title
1846
1847	new_plot.is_data = False
1848	if data.is_data:
1849	data_name = str(data.name)
1850	else:
1851	data_name = str(model.__class__.__name__) + '2d'
1852
1853	if len(title) > 1:
1854	new_plot.title = "Model2D for %s " % model.name + data_name
1855	new_plot.name = model.name + " [" + \
1856	data_name + "]"
1857	theory_data = deepcopy(new_plot)
1858
1859	self.page_finder[page_id].set_theory_data(data=theory_data,
1860	fid=data.id)
1861	self.parent.update_theory(data_id=data.id,
1862	theory=new_plot,
1863	state=state)
1864	current_pg = self.fit_panel.get_page_by_id(page_id)
1865	title = new_plot.title
1866	if not source == 'fit' and plot_result:
1867	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1868	title=title))
1869	if toggle_mode_on:
1870	wx.PostEvent(self.parent,
1871	NewPlotEvent(group_id=str(page_id) + " Model1D",
1872	action="Hide"))
1873	else:
1874	# Chisqr in fitpage
1875	if update_chisqr:
1876	wx.PostEvent(current_pg,
1877	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1878	weight=weight,
1879	fid=fid,
1880	page_id=page_id,
1881	index=index)))
1882	else:
1883	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1884	index=index, weight=weight)
1885	msg = "Computation completed!"
1886	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1887
1888	def _draw_model2D(self, model, page_id, qmin,
1889	qmax,
1890	data=None, smearer=None,
1891	description=None, enable2D=False,
1892	state=None,
1893	fid=None,
1894	weight=None,
1895	toggle_mode_on=False,
1896	update_chisqr=True, source='model'):
1897	"""
1898	draw model in 2D
1899
1900	:param model: instance of the model to draw
1901	:param description: the description of the model
1902	:param enable2D: when True allows to draw model 2D
1903	:param qmin: the minimum value to draw model 2D
1904	:param qmax: the maximum value to draw model 2D
1905	:param qstep: the number of division of Qx and Qy of the model to draw
1906
1907	"""
1908	if not enable2D:
1909	return None
1910	try:
1911	from model_thread import Calc2D
1912	## If a thread is already started, stop it
1913	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1914	self.calc_2D.stop()
1915	## stop just raises a flag to tell the thread to kill
1916	## itself -- see the fix in Calc1D implemented to fix
1917	## an actual problem. Seems the fix should also go here
1918	## and may be the cause of other noted instabilities
1919	##
1920	## -PDB August 12, 2014
1921	while self.calc_2D.isrunning():
1922	time.sleep(0.1)
1923	self.calc_2D = Calc2D(model=model,
1924	data=data,
1925	page_id=page_id,
1926	smearer=smearer,
1927	qmin=qmin,
1928	qmax=qmax,
1929	weight=weight,
1930	fid=fid,
1931	toggle_mode_on=toggle_mode_on,
1932	state=state,
1933	completefn=self._complete2D,
1934	update_chisqr=update_chisqr,
1935	exception_handler=self._calc_exception,
1936	source=source)
1937	self.calc_2D.queue()
1938	except:
1939	raise
1940
1941	def _draw_model1D(self, model, page_id, data,
1942	qmin, qmax, smearer=None,
1943	state=None,
1944	weight=None,
1945	fid=None,
1946	toggle_mode_on=False, update_chisqr=True, source='model',
1947	enable1D=True):
1948	"""
1949	Draw model 1D from loaded data1D
1950
1951	:param data: loaded data
1952	:param model: the model to plot
1953
1954	"""
1955	if not enable1D:
1956	return
1957	try:
1958	from model_thread import Calc1D
1959	## If a thread is already started, stop it
1960	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1961	self.calc_1D.stop()
1962	## stop just raises the flag -- the thread is supposed to
1963	## then kill itself but cannot. Paul Kienzle came up with
1964	## this fix to prevent threads from stepping on each other
1965	## which was causing a simple custom plugin model to crash
1966	##Sasview.
1967	## We still don't know why the fit sometimes lauched a second
1968	## thread -- something which should also be investigated.
1969	## The thread approach was implemented in order to be able
1970	## to lauch a computation in a separate thread from the GUI so
1971	## that the GUI can still respond to user input including
1972	## a request to stop the computation.
1973	## It seems thus that the whole thread approach used here
1974	## May need rethinking
1975	##
1976	## -PDB August 12, 2014
1977	while self.calc_1D.isrunning():
1978	time.sleep(0.1)
1979	self.calc_1D = Calc1D(data=data,
1980	model=model,
1981	page_id=page_id,
1982	qmin=qmin,
1983	qmax=qmax,
1984	smearer=smearer,
1985	state=state,
1986	weight=weight,
1987	fid=fid,
1988	toggle_mode_on=toggle_mode_on,
1989	completefn=self._complete1D,
1990	#updatefn = self._update1D,
1991	update_chisqr=update_chisqr,
1992	exception_handler=self._calc_exception,
1993	source=source)
1994	self.calc_1D.queue()
1995	except:
1996	msg = " Error occurred when drawing %s Model 1D: " % model.name
1997	msg += " %s" % sys.exc_value
1998	wx.PostEvent(self.parent, StatusEvent(status=msg))
1999
2000	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
2001	"""
2002	Get handy Chisqr using the output from draw1D and 2D,
2003	instead of calling expansive CalcChisqr in guithread
2004	"""
2005	try:
2006	data_copy = deepcopy(data)
2007	except:
2008	return
2009	# default chisqr
2010	chisqr = None
2011	#to compute chisq make sure data has valid data
2012	# return None if data == None
2013	if not check_data_validity(data_copy) or data_copy == None:
2014	return chisqr
2015
2016	# Get data: data I, theory I, and data dI in order
2017	if data_copy.__class__.__name__ == "Data2D":
2018	if index == None:
2019	index = numpy.ones(len(data_copy.data), dtype=bool)
2020	if weight != None:
2021	data_copy.err_data = weight
2022	# get rid of zero error points
2023	index = index & (data_copy.err_data != 0)
2024	index = index & (numpy.isfinite(data_copy.data))
2025	fn = data_copy.data[index]
2026	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2027	if theory_data == None:
2028	return chisqr
2029	gn = theory_data.data[index]
2030	en = data_copy.err_data[index]
2031	else:
2032	# 1 d theory from model_thread is only in the range of index
2033	if index == None:
2034	index = numpy.ones(len(data_copy.y), dtype=bool)
2035	if weight != None:
2036	data_copy.dy = weight
2037	if data_copy.dy == None or data_copy.dy == []:
2038	dy = numpy.ones(len(data_copy.y))
2039	else:
2040	## Set consistently w/AbstractFitengine:
2041	# But this should be corrected later.
2042	dy = deepcopy(data_copy.dy)
2043	dy[dy == 0] = 1
2044	fn = data_copy.y[index]
2045
2046	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2047	if theory_data == None:
2048	return chisqr
2049	gn = theory_data.y
2050	en = dy[index]
2051
2052	# residual
2053	try:
2054	res = (fn - gn) / en
2055	except ValueError:
2056	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
2057	return
2058
2059	residuals = res[numpy.isfinite(res)]
2060	# get chisqr only w/finite
2061	chisqr = numpy.average(residuals * residuals)
2062
2063	self._plot_residuals(page_id=page_id, data=data_copy,
2064	fid=fid,
2065	weight=weight, index=index)
2066
2067	return chisqr
2068
2069	def _plot_residuals(self, page_id, weight, fid=None,
2070	data=None, index=None):
2071	"""
2072	Plot the residuals
2073
2074	:param data: data
2075	:param index: index array (bool)
2076	: Note: this is different from the residuals in cal_chisqr()
2077	"""
2078	data_copy = deepcopy(data)
2079	# Get data: data I, theory I, and data dI in order
2080	if data_copy.__class__.__name__ == "Data2D":
2081	# build residuals
2082	residuals = Data2D()
2083	#residuals.copy_from_datainfo(data)
2084	# Not for trunk the line below, instead use the line above
2085	data_copy.clone_without_data(len(data_copy.data), residuals)
2086	residuals.data = None
2087	fn = data_copy.data
2088	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2089	gn = theory_data.data
2090	if weight == None:
2091	en = data_copy.err_data
2092	else:
2093	en = weight
2094	residuals.data = (fn - gn) / en
2095	residuals.qx_data = data_copy.qx_data
2096	residuals.qy_data = data_copy.qy_data
2097	residuals.q_data = data_copy.q_data
2098	residuals.err_data = numpy.ones(len(residuals.data))
2099	residuals.xmin = min(residuals.qx_data)
2100	residuals.xmax = max(residuals.qx_data)
2101	residuals.ymin = min(residuals.qy_data)
2102	residuals.ymax = max(residuals.qy_data)
2103	residuals.q_data = data_copy.q_data
2104	residuals.mask = data_copy.mask
2105	residuals.scale = 'linear'
2106	# check the lengths
2107	if len(residuals.data) != len(residuals.q_data):
2108	return
2109	else:
2110	# 1 d theory from model_thread is only in the range of index
2111	if data_copy.dy == None or data_copy.dy == []:
2112	dy = numpy.ones(len(data_copy.y))
2113	else:
2114	if weight == None:
2115	dy = numpy.ones(len(data_copy.y))
2116	## Set consitently w/AbstractFitengine:
2117	## But this should be corrected later.
2118	else:
2119	dy = weight
2120	dy[dy == 0] = 1
2121	fn = data_copy.y[index]
2122	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2123	gn = theory_data.y
2124	en = dy[index]
2125	# build residuals
2126	residuals = Data1D()
2127	try:
2128	residuals.y = (fn - gn) / en
2129	except:
2130	msg = "ResidualPlot Error: different # of data points in theory"
2131	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
2132	residuals.y = (fn - gn[index]) / en
2133	residuals.x = data_copy.x[index]
2134	residuals.dy = numpy.ones(len(residuals.y))
2135	residuals.dx = None
2136	residuals.dxl = None
2137	residuals.dxw = None
2138	residuals.ytransform = 'y'
2139	# For latter scale changes
2140	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
2141	residuals.yaxis('\\rm{Residuals} ', 'normalized')
2142	theory_name = str(theory_data.name.split()[0])
2143	new_plot = residuals
2144	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
2145	str(data.name) + "]"
2146	## allow to highlight data when plotted
2147	new_plot.interactive = True
2148	## when 2 data have the same id override the 1 st plotted
2149	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
2150	##group_id specify on which panel to plot this data
2151	group_id = self.page_finder[page_id].get_graph_id()
2152	if group_id == None:
2153	group_id = data.group_id
2154	new_plot.group_id = "res" + str(group_id)
2155	#new_plot.is_data = True
2156	##post data to plot
2157	title = new_plot.name
2158	self.page_finder[page_id].set_residuals(residuals=new_plot,
2159	fid=data.id)
2160	self.parent.update_theory(data_id=data.id, theory=new_plot)
2161	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
2162	if not batch_on:
2163	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ 3563e06

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