fitting.py @ 278b995

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 278b995 was 278b995, checked in by Jae Cho <jhjcho@…>, 12 years ago
disable the plot results for batch: consistent issue.
Property mode set to `100644`
File size: 90.0 KB

Line
1	"""
2	Fitting perspective
3	"""
4
5	################################################################################
6	#This software was developed by the University of Tennessee as part of the
7	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
8	#project funded by the US National Science Foundation.
9	#
10	#See the license text in license.txt
11	#
12	#copyright 2009, University of Tennessee
13	################################################################################
14
15
16	import re
17	import sys
18	import os
19	import wx
20	import logging
21	import numpy
22	import time
23	from copy import deepcopy
24	import models
25
26	from sans.dataloader.loader import Loader
27	from sans.guiframe.dataFitting import Data2D
28	from sans.guiframe.dataFitting import Data1D
29	from sans.guiframe.dataFitting import check_data_validity
30	from sans.guiframe.events import NewPlotEvent
31	from sans.guiframe.events import StatusEvent
32	from sans.guiframe.events import EVT_SLICER_PANEL
33	from sans.guiframe.events import EVT_SLICER_PARS_UPDATE
34	from sans.guiframe.gui_style import GUIFRAME_ID
35	from sans.guiframe.plugin_base import PluginBase
36	from sans.guiframe.data_processor import BatchCell
37	from sans.fit.Fitting import Fit
38	from .console import ConsoleUpdate
39	from .fitproblem import FitProblemDictionary
40	from .fitpanel import FitPanel
41	from .fit_thread import FitThread
42	from .pagestate import Reader
43	from .fitpage import Chi2UpdateEvent
44	from sans.perspectives.calculator.model_editor import TextDialog
45	from sans.perspectives.calculator.model_editor import EditorWindow
46
47	MAX_NBR_DATA = 4
48	SANS_F_TOL = 5e-05
49
50	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
51
52
53	if sys.platform.count("darwin")==0:
54	ON_MAC = False
55	else:
56	ON_MAC = True
57
58	class Plugin(PluginBase):
59	"""
60	Fitting plugin is used to perform fit
61	"""
62	def __init__(self, standalone=False):
63	PluginBase.__init__(self, name="Fitting", standalone=standalone)
64
65	#list of panel to send to guiframe
66	self.mypanels = []
67	# reference to the current running thread
68	self.calc_2D = None
69	self.calc_1D = None
70
71	self.color_dict = {}
72
73	self.fit_thread_list = {}
74	self.residuals = None
75	self.weight = None
76	self.fit_panel = None
77	# Start with a good default
78	self.elapsed = 0.022
79	# the type of optimizer selected, park or scipy
80	self.fitter = None
81	self.fit_panel = None
82	#let fit ready
83	self.fitproblem_count = None
84	#Flag to let the plug-in know that it is running stand alone
85	self.standalone = True
86	## dictionary of page closed and id
87	self.closed_page_dict = {}
88	## Fit engine
89	self._fit_engine = 'scipy'
90	self._gui_engine = None
91	## Relative error desired in the sum of squares (float); scipy only
92	self.ftol = SANS_F_TOL
93	self.batch_reset_flag = True
94	#List of selected data
95	self.selected_data_list = []
96	## list of slicer panel created to display slicer parameters and results
97	self.slicer_panels = []
98	# model 2D view
99	self.model2D_id = None
100	#keep reference of the simultaneous fit page
101	self.sim_page = None
102	self.sim_menu = None
103	self.batch_page = None
104	self.batch_menu = None
105	self.index_model = 0
106	self.test_model_color = None
107	#Create a reader for fit page's state
108	self.state_reader = None
109	self._extensions = '.fitv'
110	self.scipy_id = wx.NewId()
111	self.park_id = wx.NewId()
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 = "Simultaneous Fit"
176	self.menu1.Append(self.id_simfit, '&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	self.menu1.AppendSeparator()
188	#Set park engine
189	scipy_help = "Scipy Engine: Perform Simple fit. More in Help window...."
190	self.menu1.AppendCheckItem(self.scipy_id, "Simple FitEngine [LeastSq]",
191	scipy_help)
192	wx.EVT_MENU(owner, self.scipy_id, self._onset_engine_scipy)
193
194	park_help = "Park Engine: Perform Complex fit. More in Help window...."
195	self.menu1.AppendCheckItem(self.park_id, "Complex FitEngine [ParkMC]",
196	park_help)
197	wx.EVT_MENU(owner, self.park_id, self._onset_engine_park)
198
199	self.menu1.FindItemById(self.scipy_id).Check(True)
200	self.menu1.FindItemById(self.park_id).Check(False)
201	self.menu1.AppendSeparator()
202	self.id_tol = wx.NewId()
203	ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol)
204	ftol_help += "of Simple FitEngine..."
205	self.menu1.Append(self.id_tol, "Change FTolerance",
206	ftol_help)
207	wx.EVT_MENU(owner, self.id_tol, self.show_ftol_dialog)
208	self.menu1.AppendSeparator()
209
210	self.id_reset_flag = wx.NewId()
211	resetf_help = "BatchFit: If checked, the initial param values will be "
212	resetf_help += "propagated from the previous results. "
213	resetf_help += "Otherwise, the same initial param values will be used "
214	resetf_help += "for all fittings."
215	self.menu1.AppendCheckItem(self.id_reset_flag,
216	"Chain Fitting [BatchFit Only]",
217	resetf_help)
218	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
219	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
220	chain_menu.Check(not self.batch_reset_flag)
221	chain_menu.Enable(self.batch_on)
222
223	self.menu1.AppendSeparator()
224	self.edit_model_menu = wx.Menu()
225	# Find and put files name in menu
226	try:
227	self.set_edit_menu(owner=owner)
228	except:
229	raise
230
231	self.id_edit = wx.NewId()
232	editmodel_help = "Edit customized model sample file"
233	self.menu1.AppendMenu(self.id_edit, "Edit Custom Model",
234	self.edit_model_menu, editmodel_help)
235	#create menubar items
236	return [(self.menu1, self.sub_menu)]
237
238	def edit_custom_model(self, event):
239	"""
240	Get the python editor panel
241	"""
242	id = event.GetId()
243	label = self.edit_menu.GetLabel(id)
244	from sans.perspectives.calculator.pyconsole import PyConsole
245	filename = os.path.join(models.find_plugins_dir(), label)
246	frame = PyConsole(parent=self.parent, manager=self, panel= self.fit_panel,
247	title='Advanced Custom Model Editor', filename=filename)
248	self.put_icon(frame)
249	frame.Show(True)
250
251	def delete_custom_model(self, event):
252	"""
253	Delete custom model file
254	"""
255	id = event.GetId()
256	label = self.delete_menu.GetLabel(id)
257	toks = os.path.splitext(label)
258	path = os.path.join(models.find_plugins_dir(), toks[0])
259	try:
260	for ext in ['.py', '.pyc']:
261	p_path = path + ext
262	os.remove(p_path)
263	self.update_custom_combo()
264	self.delete_menu.Delete(id)
265	for item in self.edit_menu.GetMenuItems():
266	if item.GetLabel() == label:
267	self.edit_menu.DeleteItem(item)
268	break
269	except:
270	msg ='Delete Error: \nCould not delete the file; Check if in use.'
271	wx.MessageBox(msg)
272
273	def make_sum_model(self, event):
274	"""
275	Edit summodel template and make one
276	"""
277	id = event.GetId()
278	model_list = []
279	model_manager = models.ModelManager()
280	model_list = model_manager.get_model_name_list()
281	plug_dir = models.find_plugins_dir()
282	textdial = TextDialog(None, self, -1, 'Easy Sum(p1, p2)',
283	model_list, plug_dir)
284	self.put_icon(textdial)
285	dial = textdial.ShowModal()
286
287	textdial.Destroy()
288
289	def make_new_model(self, event):
290	"""
291	Make new model
292	"""
293	if self.new_model_frame != None and self.new_model_frame.IsShown():
294	self.new_model_frame.Show(False)
295	else:
296	id = event.GetId()
297	dir_path = models.find_plugins_dir()
298	title = "New Custom Model Function"
299	self.new_model_frame = EditorWindow(parent=self, base=self,
300	path=dir_path, title=title)
301	self.put_icon(self.new_model_frame)
302	self.new_model_frame.Show(True)
303
304	def update_custom_combo(self):
305	"""
306	Update custom model list in the fitpage combo box
307	"""
308	try:
309	# Update edit menus
310	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
311	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
312	temp = self.fit_panel.reset_pmodel_list()
313	if temp:
314	# Set the new custom model list for all fit pages
315	for uid, page in self.fit_panel.opened_pages.iteritems():
316	if hasattr(page, "formfactorbox"):
317	page.model_list_box = temp
318	current_val = page.formfactorbox.GetValue()
319	pos = page.formfactorbox.GetSelection()
320	page._show_combox_helper()
321	new_val = page.formfactorbox.GetValue()
322	if current_val != new_val and new_val != '':
323	page.formfactorbox.SetValue(new_val)
324	else:
325	page.formfactorbox.SetValue(current_val)
326	except:
327	pass
328
329
330	def set_edit_menu(self, owner):
331	"""
332	Set list of the edit model menu labels
333	"""
334	id = wx.NewId()
335	#new_model_menu = wx.Menu()
336	self.edit_model_menu.Append(id, 'New',
337	'Add a new model function')#,
338	#new_model_menu)
339	wx.EVT_MENU(owner, id, self.make_new_model)
340	id = wx.NewId()
341	self.edit_model_menu.Append(id, 'Sum(p1, p2)',
342	'Sum of two model functions')
343	wx.EVT_MENU(owner, id, self.make_sum_model)
344	e_id = wx.NewId()
345	self.edit_menu =wx.Menu()
346	self.edit_model_menu.AppendMenu(e_id,
347	'Advanced', self.edit_menu)
348	self.set_edit_menu_helper(owner, self.edit_custom_model)
349
350	d_id = wx.NewId()
351	self.delete_menu =wx.Menu()
352	self.edit_model_menu.AppendMenu(d_id,
353	'Delete', self.delete_menu)
354	self.set_edit_menu_helper(owner, self.delete_custom_model)
355
356	def set_edit_menu_helper(self, owner=None, menu=None):
357	"""
358	help for setting list of the edit model menu labels
359	"""
360	if menu == None:
361	menu = self.edit_custom_model
362	list_fnames = os.listdir(models.find_plugins_dir())
363	list_fnames.sort()
364	for f_item in list_fnames:
365	name = os.path.basename(f_item)
366	toks = os.path.splitext(name)
367	if toks[-1]=='.py' and not toks[0] =='__init__':
368	if menu == self.edit_custom_model:
369	if toks[0] =='easy_sum_of_p1_p2':
370	continue
371	submenu = self.edit_menu
372	else:
373	submenu = self.delete_menu
374	#name = toks[0]
375	has_file = False
376	for item in submenu.GetMenuItems():
377	if name == submenu.GetLabel(item.GetId()):
378	has_file = True
379	if not has_file:
380	id = wx.NewId()
381	submenu.Append(id, name)
382	wx.EVT_MENU(owner, id, menu)
383	has_file = False
384
385	def put_icon(self, frame):
386	"""
387	Put icon in the frame title bar
388	"""
389	if hasattr(frame, "IsIconized"):
390	if not frame.IsIconized():
391	try:
392	icon = self.parent.GetIcon()
393	frame.SetIcon(icon)
394	except:
395	pass
396
397	def on_add_sim_page(self, event):
398	"""
399	Create a page to access simultaneous fit option
400	"""
401	id = event.GetId()
402	caption = "Simultaneous Fit"
403	page = self.sim_page
404	if id == self.id_batchfit:
405	caption = "Combined Batch"
406	page = self.batch_page
407
408	def set_focus_page(page):
409	page.Show(True)
410	page.Refresh()
411	page.SetFocus()
412	self.parent._mgr.Update()
413	msg = "%s already opened\n" % str(page.window_caption)
414	wx.PostEvent(self.parent, StatusEvent(status=msg))
415
416	if page != None:
417	return set_focus_page(page)
418	if caption == "Simultaneous Fit":
419	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
420	else:
421	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
422
423	def help(self, evt):
424	"""
425	Show a general help dialog.
426	"""
427	from help_panel import HelpWindow
428	frame = HelpWindow(None, -1, 'HelpWindow')
429	if hasattr(frame, "IsIconized"):
430	if not frame.IsIconized():
431	try:
432	icon = self.parent.GetIcon()
433	frame.SetIcon(icon)
434	except:
435	pass
436	frame.Show(True)
437
438	def get_context_menu(self, plotpanel=None):
439	"""
440	Get the context menu items available for P(r).them allow fitting option
441	for Data2D and Data1D only.
442
443	:param graph: the Graph object to which we attach the context menu
444
445	:return: a list of menu items with call-back function
446
447	:note: if Data1D was generated from Theory1D
448	the fitting option is not allowed
449
450	"""
451	graph = plotpanel.graph
452	fit_option = "Select data for fitting"
453	fit_hint = "Dialog with fitting parameters "
454
455	if graph.selected_plottable not in plotpanel.plots:
456	return []
457	item = plotpanel.plots[graph.selected_plottable]
458	if item.__class__.__name__ is "Data2D":
459	if hasattr(item,"is_data"):
460	if item.is_data:
461	return [[fit_option, fit_hint, self._onSelect]]
462	else:
463	return []
464	return [[fit_option, fit_hint, self._onSelect]]
465	else:
466
467	# if is_data is true , this in an actual data loaded
468	#else it is a data created from a theory model
469	if hasattr(item,"is_data"):
470	if item.is_data:
471	return [[fit_option, fit_hint,
472	self._onSelect]]
473	else:
474	return []
475	return []
476
477
478	def get_panels(self, parent):
479	"""
480	Create and return a list of panel objects
481	"""
482	self.parent = parent
483	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
484	# Creation of the fit panel
485	self.fit_panel = FitPanel(parent=self.parent, manager=self)
486	self.on_add_new_page(event=None)
487	#Set the manager for the main panel
488	self.fit_panel.set_manager(self)
489	# List of windows used for the perspective
490	self.perspective = []
491	self.perspective.append(self.fit_panel.window_name)
492
493	#index number to create random model name
494	self.index_model = 0
495	self.index_theory= 0
496	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
497	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
498	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
499	#Create reader when fitting panel are created
500	self.state_reader = Reader(self.set_state)
501	#append that reader to list of available reader
502	loader = Loader()
503	loader.associate_file_reader(".fitv", self.state_reader)
504	#loader.associate_file_reader(".svs", self.state_reader)
505	#from sans.perspectives.calculator.sld_panel import SldPanel
506	#Send the fitting panel to guiframe
507	self.mypanels.append(self.fit_panel)
508	#self.mypanels.append(SldPanel(parent=self.parent, base=self.parent))
509	return self.mypanels
510
511	def clear_panel(self):
512	"""
513	"""
514	self.fit_panel.clear_panel()
515
516	def set_default_perspective(self):
517	"""
518	Call back method that True to notify the parent that the current plug-in
519	can be set as default perspective.
520	when returning False, the plug-in is not candidate for an automatic
521	default perspective setting
522	"""
523	return True
524
525	def delete_data(self, data):
526	"""
527	delete the given data from panel
528	"""
529	self.fit_panel.delete_data(data)
530
531	def set_data(self, data_list=None):
532	"""
533	receive a list of data to fit
534	"""
535	if data_list is None:
536	data_list = []
537	selected_data_list = []
538	if self.batch_on:
539	page = self.add_fit_page(data=data_list)
540	else:
541	if len(data_list) > MAX_NBR_DATA:
542	from fitting_widgets import DataDialog
543	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
544	if dlg.ShowModal() == wx.ID_OK:
545	selected_data_list = dlg.get_data()
546	dlg.Destroy()
547
548	else:
549	selected_data_list = data_list
550	try:
551	group_id = wx.NewId()
552	for data in selected_data_list:
553	if data is not None:
554	# 2D has no same group_id
555	if data.__class__.__name__ == 'Data2D':
556	group_id = wx.NewId()
557	data.group_id = group_id
558	if group_id not in data.list_group_id:
559	data.list_group_id.append(group_id)
560	page = self.add_fit_page(data=[data])
561	except:
562	msg = "Fitting Set_data: " + str(sys.exc_value)
563	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
564
565	def set_top_panel(self):
566	"""
567	Close default (welcome) panel
568	"""
569	if 'default' in self.parent.panels:
570	self.parent.on_close_welcome_panel()
571
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:
582	msg = "Fitting: cannot deal with the theory received"
583	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
584	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
585
586	def set_state(self, state=None, datainfo=None, format=None):
587	"""
588	Call-back method for the fit page state reader.
589	This method is called when a .fitv/.svs file is loaded.
590
591	: param state: PageState object
592	: param datainfo: data
593	"""
594	#state = self.state_reader.get_state()
595	if state != None:
596	state = state.clone()
597	# store fitting state in temp_state
598	self.temp_state.append(state)
599	else:
600	self.temp_state = []
601	# index to start with for a new set_state
602	self.state_index = 0
603	# state file format
604	self.sfile_ext = format
605
606	self.on_set_state_helper(event=None)
607
608	def on_set_state_helper(self,event=None):
609	"""
610	Set_state_helper. This actually sets state
611	after plotting data from state file.
612
613	: event: FitStateUpdateEvent called
614	by dataloader.plot_data from guiframe
615	"""
616	if len(self.temp_state) == 0:
617	if self.state_index==0 and len(self.mypanels) <= 0 \
618	and self.sfile_ext =='.svs':
619	#TODO: Why was the following line left in the code
620	# if add_default_pages doesn't exist?
621	try:
622	self.fit_panel.add_default_pages()
623	except:
624	print sys.exc_value
625	self.temp_state = []
626	self.state_index = 0
627	return
628
629	try:
630	# Load fitting state
631	state = self.temp_state[self.state_index]
632	#panel state should have model selection to set_state
633	if state.formfactorcombobox != None:
634	#set state
635	data = self.parent.create_gui_data(state.data)
636	data.group_id = state.data.group_id
637	self.parent.add_data(data_list={data.id:data})
638	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
639	title=data.title))
640	#need to be fix later make sure we are sendind guiframe.data
641	#to panel
642	state.data = data
643	page = self.fit_panel.set_state(state)
644	else:
645	#just set data because set_state won't work
646	data = self.parent.create_gui_data(state.data)
647	data.group_id = state.data.group_id
648	self.parent.add_data(data_list={data.id:data})
649	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
650	title=data.title))
651	page = self.add_fit_page([data])
652	caption = page.window_caption
653	self.store_data(uid=page.uid, data_list=page.get_data_list(),
654	caption=caption)
655	self.mypanels.append(page)
656
657	# get ready for the next set_state
658	self.state_index += 1
659
660	#reset state variables to default when all set_state is finished.
661	if len(self.temp_state) == self.state_index:
662
663	self.temp_state = []
664	#self.state_index = 0
665	# Make sure the user sees the fitting panel after loading
666	#self.parent.set_perspective(self.perspective)
667	self.on_perspective(event=None)
668	except:
669	self.state_index==0
670	self.temp_state = []
671	raise
672
673	def set_param2fit(self, uid, param2fit):
674	"""
675	Set the list of param names to fit for fitprobelm
676	"""
677	self.page_finder[uid].set_param2fit(param2fit)
678
679	def set_graph_id(self, uid, graph_id):
680	"""
681	Set graph_id for fitprobelm
682	"""
683	self.page_finder[uid].set_graph_id(graph_id)
684
685	def get_graph_id(self, uid):
686	"""
687	Set graph_id for fitprobelm
688	"""
689	return self.page_finder[uid].get_graph_id()
690
691	def save_fit_state(self, filepath, fitstate):
692	"""
693	save fit page state into file
694	"""
695	self.state_reader.write(filename=filepath, fitstate=fitstate)
696
697	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
698	"""
699	Set the fit weights of a given page for all
700	its data by default. If fid is provide then set the range
701	only for the data with fid as id
702	:param uid: id corresponding to a fit page
703	:param fid: id corresponding to a fit problem (data, model)
704	:param weight: current dy data
705	"""
706	if uid in self.page_finder.keys():
707	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
708
709	def set_fit_range(self, uid, qmin, qmax, fid=None):
710	"""
711	Set the fitting range of a given page for all
712	its data by default. If fid is provide then set the range
713	only for the data with fid as id
714	:param uid: id corresponding to a fit page
715	:param fid: id corresponding to a fit problem (data, model)
716	:param qmin: minimum value of the fit range
717	:param qmax: maximum value of the fit range
718	"""
719	if uid in self.page_finder.keys():
720	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
721
722	def schedule_for_fit(self, value=0, uid=None):
723	"""
724	Set the fit problem field to 0 or 1 to schedule that problem to fit.
725	Schedule the specified fitproblem or get the fit problem related to
726	the current page and set value.
727	:param value: integer 0 or 1
728	:param uid: the id related to a page contaning fitting information
729	"""
730	if uid in self.page_finder.keys():
731	self.page_finder[uid].schedule_tofit(value)
732
733	def get_page_finder(self):
734	"""
735	return self.page_finder used also by simfitpage.py
736	"""
737	return self.page_finder
738
739	def set_page_finder(self,modelname,names,values):
740	"""
741	Used by simfitpage.py to reset a parameter given the string constrainst.
742
743	:param modelname: the name ot the model for with the parameter
744	has to reset
745	:param value: can be a string in this case.
746	:param names: the paramter name
747
748	:note: expecting park used for fit.
749
750	"""
751	sim_page_id = self.sim_page.uid
752	for uid, value in self.page_finder.iteritems():
753	if uid != sim_page_id and uid != self.batch_page.uid:
754	list = value.get_model()
755	model = list[0]
756	if model.name == modelname:
757	value.set_model_param(names, values)
758	break
759
760	def split_string(self,item):
761	"""
762	receive a word containing dot and split it. used to split parameterset
763	name into model name and parameter name example: ::
764
765	paramaterset (item) = M1.A
766	Will return model_name = M1 , parameter name = A
767
768	"""
769	if item.find(".") >= 0:
770	param_names = re.split("\.", item)
771	model_name = param_names[0]
772	##Assume max len is 3; eg., M0.radius.width
773	if len(param_names) == 3:
774	param_name = param_names[1] + "." + param_names[2]
775	else:
776	param_name = param_names[1]
777	return model_name, param_name
778
779	def set_ftol(self, ftol=None):
780	"""
781	Set ftol: Relative error desired in the sum of chi squares.
782	"""
783	# check if it is flaot
784	try:
785	f_tol = float(ftol)
786	except:
787	# default
788	f_tol = SANS_F_TOL
789
790	self.ftol = f_tol
791	# update ftol menu help strings
792	ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol)
793	ftol_help += "of Simple FitEngine..."
794	if self.menu1 != None:
795	self.menu1.SetHelpString(self.id_tol, ftol_help)
796
797	def show_ftol_dialog(self, event=None):
798	"""
799	Dialog to select ftol for Scipy
800	"""
801	#if event != None:
802	# event.Skip()
803	from ftol_dialog import ChangeFtol
804	panel = ChangeFtol(self.parent, self)
805	panel.ShowModal()
806
807	def stop_fit(self, uid):
808	"""
809	Stop the fit engine
810	"""
811	if uid in self.fit_thread_list.keys():
812	calc_fit = self.fit_thread_list[uid]
813	if calc_fit is not None and calc_fit.isrunning():
814	calc_fit.stop()
815	msg = "Fit stop!"
816	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
817	del self.fit_thread_list[uid]
818	#set the fit button label of page when fit stop is trigger from
819	#simultaneous fit pane
820	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
821	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
822	if sim_flag or batch_flag:
823	for uid, value in self.page_finder.iteritems():
824	if value.get_scheduled() == 1:
825	if uid in self.fit_panel.opened_pages.keys():
826	panel = self.fit_panel.opened_pages[uid]
827	panel._on_fit_complete()
828
829	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
830	enable_smearer=False):
831	"""
832	Get a smear object and store it to a fit problem of fid as id. If proper
833	flag is enable , will plot the theory with smearing information.
834
835	:param smearer: smear object to allow smearing data of id fid
836	:param enable_smearer: Define whether or not all (data, model) contained
837	in the structure of id uid will be smeared before fitting.
838	:param qmin: the maximum value of the theory plotting range
839	:param qmax: the maximum value of the theory plotting range
840	:param draw: Determine if the theory needs to be plot
841	"""
842	if uid not in self.page_finder.keys():
843	return
844	self.page_finder[uid].enable_smearing(flag=enable_smearer)
845	self.page_finder[uid].set_smearer(smearer, fid=fid)
846	if draw:
847	## draw model 1D with smeared data
848	data = self.page_finder[uid].get_fit_data(fid=fid)
849	if data is None:
850	msg = "set_mearer requires at least data.\n"
851	msg += "Got data = %s .\n" % str(data)
852	return
853	#raise ValueError, msg
854	model = self.page_finder[uid].get_model(fid=fid)
855	if model is None:
856	return
857	enable1D = issubclass(data.__class__, Data1D)
858	enable2D = issubclass(data.__class__, Data2D)
859	## if user has already selected a model to plot
860	## redraw the model with data smeared
861	smear = self.page_finder[uid].get_smearer(fid=fid)
862
863	# compute weight for the current data
864	weight = self.page_finder[uid].get_weight(fid=fid)
865
866	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
867	enable1D=enable1D, enable2D=enable2D,
868	qmin=qmin, qmax=qmax, weight=weight)
869	self._mac_sleep(0.2)
870
871	def _mac_sleep(self, sec=0.2):
872	"""
873	Give sleep to MAC
874	"""
875	if ON_MAC:
876	time.sleep(sec)
877
878	def draw_model(self, model, page_id, data=None, smearer=None,
879	enable1D=True, enable2D=False,
880	state=None,
881	fid=None,
882	toggle_mode_on=False,
883	qmin=None, qmax=None,
884	update_chisqr=True, weight=None, source='model'):
885	"""
886	Draw model.
887
888	:param model: the model to draw
889	:param name: the name of the model to draw
890	:param data: the data on which the model is based to be drawn
891	:param description: model's description
892	:param enable1D: if true enable drawing model 1D
893	:param enable2D: if true enable drawing model 2D
894	:param qmin: Range's minimum value to draw model
895	:param qmax: Range's maximum value to draw model
896	:param qstep: number of step to divide the x and y-axis
897	:param update_chisqr: update chisqr [bool]
898
899	"""
900	#self.weight = weight
901	if issubclass(data.__class__, Data1D) or not enable2D:
902	## draw model 1D with no loaded data
903	self._draw_model1D(model=model,
904	data=data,
905	page_id=page_id,
906	enable1D=enable1D,
907	smearer=smearer,
908	qmin=qmin,
909	qmax=qmax,
910	fid=fid,
911	weight=weight,
912	toggle_mode_on=toggle_mode_on,
913	state=state,
914	update_chisqr=update_chisqr,
915	source=source)
916	else:
917	## draw model 2D with no initial data
918	self._draw_model2D(model=model,
919	page_id=page_id,
920	data=data,
921	enable2D=enable2D,
922	smearer=smearer,
923	qmin=qmin,
924	qmax=qmax,
925	fid=fid,
926	weight=weight,
927	state=state,
928	toggle_mode_on=toggle_mode_on,
929	update_chisqr=update_chisqr,
930	source=source)
931
932	def onFit(self, uid):
933	"""
934	Get series of data, model, associates parameters and range and send then
935	to series of fit engines. Fit data and model, display result to
936	corresponding panels.
937	:param uid: id related to the panel currently calling this fit function.
938	"""
939	flag = True
940	## count the number of fitproblem schedule to fit
941	fitproblem_count = 0
942	for value in self.page_finder.values():
943	if value.get_scheduled() == 1:
944	fitproblem_count += 1
945	self._gui_engine = self._return_engine_type()
946	self.fitproblem_count = fitproblem_count
947	if self._fit_engine == "park":
948	engineType = "Simultaneous Fit"
949	else:
950	engineType = "Single Fit"
951	fitter_list = []
952	sim_fitter = None
953	is_single_fit = True
954	batch_on = False
955	if self.sim_page is not None and self.sim_page.uid == uid:
956	#simulatanous fit only one engine need to be created
957	## if simultaneous fit change automatically the engine to park
958	self._on_change_engine(engine='park')
959	sim_fitter = Fit(self._fit_engine)
960	sim_fitter.fitter_id = self.sim_page.uid
961	fitter_list.append(sim_fitter)
962	is_single_fit = False
963	batch_on = self.sim_page.batch_on
964
965
966	self.fitproblem_count = fitproblem_count
967	if self._fit_engine == "park":
968	engineType = "Simultaneous Fit"
969	else:
970	engineType = "Single Fit"
971
972	self.current_pg = None
973	list_page_id = []
974	fit_id = 0
975	batch_inputs = {}
976	batch_outputs = {}
977	for page_id, value in self.page_finder.iteritems():
978	# For simulfit (uid give with None), do for-loop
979	# if uid is specified (singlefit), do it only on the page.
980	if engineType == "Single Fit":
981	#combine more than 1 batch page on single mode
982	if self.batch_page is None or self.batch_page.uid != uid:
983	if page_id != uid:
984	continue
985	try:
986	if value.get_scheduled() == 1:
987	value.nbr_residuals_computed = 0
988	#Get list of parameters name to fit
989	pars = []
990	templist = []
991	page = self.fit_panel.get_page_by_id(page_id)
992	self.set_fit_weight(uid=page.uid,
993	flag=page.get_weight_flag(),
994	is2d = page._is_2D())
995	templist = page.get_param_list()
996	flag = page._update_paramv_on_fit()
997	if not flag:
998	msg = "Fitting range or parameter values are"
999	msg += " invalid in %s"% \
1000	page.window_caption
1001	wx.PostEvent(page.parent.parent,
1002	StatusEvent(status= msg, info="error",
1003	type="stop"))
1004	return flag
1005	for element in templist:
1006	name = str(element[1])
1007	pars.append(name)
1008	fitproblem_list = value.values()
1009	for fitproblem in fitproblem_list:
1010	if sim_fitter is None:
1011	fitter = Fit(self._fit_engine)
1012	fitter.fitter_id = page_id
1013	self._fit_helper(fitproblem=fitproblem,
1014	pars=pars,
1015	fitter=fitter,
1016	fit_id=fit_id,
1017	batch_inputs=batch_inputs,
1018	batch_outputs=batch_outputs)
1019	fitter_list.append(fitter)
1020	else:
1021	fitter = sim_fitter
1022	self._fit_helper(fitproblem=fitproblem,
1023	pars=pars,
1024	fitter=fitter,
1025	fit_id=fit_id,
1026	batch_inputs=batch_inputs,
1027	batch_outputs=batch_outputs)
1028	fit_id += 1
1029	list_page_id.append(page_id)
1030	current_page_id = page_id
1031	value.clear_model_param()
1032	except:
1033	flag = False
1034	msg= "%s error: %s" % (engineType, sys.exc_value)
1035	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
1036	type="stop"))
1037	return flag
1038	## If a thread is already started, stop it
1039	#if self.calc_fit!= None and self.calc_fit.isrunning():
1040	# self.calc_fit.stop()
1041	msg = "Fitting is in progress..."
1042	wx.PostEvent( self.parent, StatusEvent(status=msg, type="progress" ))
1043
1044	#Handler used for park engine displayed message
1045	handler = ConsoleUpdate(parent=self.parent,
1046	manager=self,
1047	improvement_delta=0.1)
1048	self._mac_sleep(0.2)
1049	## perform single fit
1050	try:
1051	page = self.fit_panel.get_page_by_id(uid)
1052	batch_on = page.batch_on
1053	except:
1054	try:
1055	#if the id cannot be found then we deal with a self.sim_page
1056	#or a self.batch_page
1057	if self.sim_page is not None and uid == self.sim_page.uid:
1058	batch_on = self.sim_page.batch_on
1059	if self.batch_page is not None and uid == self.batch_page.uid:
1060	batch_on = self.batch_page.batch_on
1061	except:
1062	batch_on = False
1063	#raise
1064
1065	# batch fit
1066	if batch_on:
1067	calc_fit = FitThread(handler = handler,
1068	fn=fitter_list,
1069	pars=pars,
1070	batch_inputs=batch_inputs,
1071	batch_outputs=batch_outputs,
1072	page_id=list_page_id,
1073	completefn=self._batch_fit_complete,
1074	ftol=self.ftol,
1075	reset_flag=self.batch_reset_flag)
1076	else:
1077	# single fit: not batch and not simul fit
1078	if not is_single_fit:
1079	current_page_id = self.sim_page.uid
1080	## Perform more than 1 fit at the time
1081	calc_fit = FitThread(handler=handler,
1082	fn=fitter_list,
1083	batch_inputs=batch_inputs,
1084	batch_outputs=batch_outputs,
1085	page_id=list_page_id,
1086	updatefn=handler.update_fit,
1087	completefn=self._fit_completed,
1088	ftol=self.ftol)
1089	self.fit_thread_list[current_page_id] = calc_fit
1090	calc_fit.queue()
1091	msg = "Fitting is in progress..."
1092	wx.PostEvent( self.parent, StatusEvent(status=msg, type="progress" ))
1093
1094	self.ready_fit(calc_fit=calc_fit)
1095	return flag
1096
1097	def ready_fit(self, calc_fit):
1098	"""
1099	Ready for another fit
1100	"""
1101	if self.fitproblem_count != None and self.fitproblem_count > 1:
1102	calc_fit.ready(2.5)
1103	else:
1104	time.sleep(0.4)
1105
1106	def remove_plot(self, uid, fid=None, theory=False):
1107	"""
1108	remove model plot when a fit page is closed
1109	:param uid: the id related to the fitpage to close
1110	:param fid: the id of the fitproblem(data, model, range,etc)
1111	"""
1112	if uid not in self.page_finder.keys():
1113	return
1114	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
1115	for fitproblem in fitproblemList:
1116	data = fitproblem.get_fit_data()
1117	model = fitproblem.get_model()
1118	plot_id = None
1119	if model is not None:
1120	plot_id = data.id + model.name
1121	if theory:
1122	plot_id = data.id
1123	group_id = data.group_id
1124	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
1125	group_id=group_id,
1126	action='remove'))
1127
1128	def store_data(self, uid, data_list=None, caption=None):
1129	"""
1130	Recieve a list of data and store them ans well as a caption of
1131	the fit page where they come from.
1132	:param uid: if related to a fit page
1133	:param data_list: list of data to fit
1134	:param caption: caption of the window related to these data
1135	"""
1136	if data_list is None:
1137	data_list = []
1138
1139	self.page_finder[uid].set_fit_data(data=data_list)
1140	if caption is not None:
1141	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1142
1143	def on_add_new_page(self, event=None):
1144	"""
1145	ask fit panel to create a new empty page
1146	"""
1147	try:
1148	page = self.fit_panel.add_empty_page()
1149	page_caption = page.window_caption
1150	# add data associated to the page created
1151	if page != None:
1152	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
1153	info="info"))
1154	else:
1155	msg = "Page was already Created"
1156	wx.PostEvent(self.parent, StatusEvent(status=msg,
1157	info="warning"))
1158	self.set_top_panel()
1159	except:
1160	msg = "Creating Fit page: %s"%sys.exc_value
1161	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
1162
1163	def add_fit_page(self, data):
1164	"""
1165	given a data, ask to the fitting panel to create a new fitting page,
1166	get this page and store it into the page_finder of this plug-in
1167	:param data: is a list of data
1168	"""
1169	page = self.fit_panel.set_data(data)
1170	# page could be None when loading state files
1171	if page == None:
1172	return page
1173	page_caption = page.window_caption
1174	#append Data1D to the panel containing its theory
1175	#if theory already plotted
1176	if page.uid in self.page_finder:
1177	data = page.get_data()
1178	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
1179	if issubclass(data.__class__, Data2D):
1180	data.group_id = wx.NewId()
1181	if theory_data is not None:
1182	group_id = str(page.uid) + " Model1D"
1183	wx.PostEvent(self.parent,
1184	NewPlotEvent(group_id=group_id,
1185	action="delete"))
1186	self.parent.update_data(prev_data=theory_data,
1187	new_data=data)
1188	else:
1189	if theory_data is not None:
1190	group_id = str(page.uid) + " Model2D"
1191	data.group_id = theory_data.group_id
1192	wx.PostEvent(self.parent,
1193	NewPlotEvent(group_id=group_id,
1194	action="delete"))
1195	self.parent.update_data(prev_data=theory_data,
1196	new_data=data)
1197	self.store_data(uid=page.uid, data_list=page.get_data_list(),
1198	caption=page.window_caption)
1199	if self.sim_page is not None and not self.batch_on:
1200	self.sim_page.draw_page()
1201	if self.batch_page is not None and self.batch_on:
1202	self.batch_page.draw_page()
1203
1204	return page
1205
1206	def _onEVT_SLICER_PANEL(self, event):
1207	"""
1208	receive and event telling to update a panel with a name starting with
1209	event.panel_name. this method update slicer panel
1210	for a given interactor.
1211
1212	:param event: contains type of slicer , paramaters for updating
1213	the panel and panel_name to find the slicer 's panel concerned.
1214	"""
1215	for item in self.parent.panels:
1216	name = event.panel_name
1217	if self.parent.panels[item].window_caption.startswith(name):
1218	self.parent.panels[item].set_slicer(event.type, event.params)
1219
1220	self.parent._mgr.Update()
1221
1222	def _closed_fitpage(self, event):
1223	"""
1224	request fitpanel to close a given page when its unique data is removed
1225	from the plot. close fitpage only when the a loaded data is removed
1226	"""
1227	if event is None or event.data is None:
1228	return
1229	if hasattr(event.data,"is_data"):
1230	if not event.data.is_data or \
1231	event.data.__class__.__name__ == "Data1D":
1232	self.fit_panel.close_page_with_data(event.data)
1233
1234	def _reset_schedule_problem(self, value=0, uid=None):
1235	"""
1236	unschedule or schedule all fitproblem to be fit
1237	"""
1238	# case that uid is not specified
1239	if uid == None:
1240	for page_id in self.page_finder.keys():
1241	self.page_finder[page_id].schedule_tofit(value)
1242	# when uid is given
1243	else:
1244	if uid in self.page_finder.keys():
1245	self.page_finder[uid].schedule_tofit(value)
1246
1247	def _fit_helper(self, fitproblem, pars, fitter, fit_id,
1248	batch_inputs, batch_outputs):
1249	"""
1250	Create and set fit engine with series of data and model
1251	:param pars: list of fittable parameters
1252	:param fitter_list: list of fit engine
1253	:param value: structure storing data mapped to their model, range etc..
1254	"""
1255	data = fitproblem.get_fit_data()
1256	model = fitproblem.get_model()
1257	smearer = fitproblem.get_smearer()
1258	qmin, qmax = fitproblem.get_range()
1259
1260	#Extra list of parameters and their constraints
1261	listOfConstraint = []
1262	param = fitproblem.get_model_param()
1263	if len(param) > 0:
1264	for item in param:
1265	## check if constraint
1266	if item[0] != None and item[1] != None:
1267	listOfConstraint.append((item[0],item[1]))
1268	new_model = model#deepcopy(model)
1269	fitter.set_model(new_model, fit_id, pars, data=data,
1270	constraints=listOfConstraint)
1271	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
1272	qmax=qmax)
1273	fitter.select_problem_for_fit(id=fit_id, value=1)
1274
1275
1276	def _onSelect(self,event):
1277	"""
1278	when Select data to fit a new page is created .Its reference is
1279	added to self.page_finder
1280	"""
1281	self.panel = event.GetEventObject()
1282	Plugin.on_perspective(self, event=event)
1283	self.select_data(self.panel)
1284
1285	def select_data(self, panel):
1286	"""
1287	"""
1288	self.panel = panel
1289	for plottable in self.panel.graph.plottables:
1290	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
1291	data_id = self.panel.graph.selected_plottable
1292	if plottable == self.panel.plots[data_id]:
1293	data = plottable
1294	self.add_fit_page(data=[data])
1295	return
1296	else:
1297	data = plottable
1298	self.add_fit_page(data=[data])
1299	self.set_top_panel()
1300
1301	def update_fit(self, result=None, msg=""):
1302	"""
1303	"""
1304	print "update_fit result", result
1305
1306
1307	def _batch_fit_complete(self, result, pars, page_id,
1308	batch_outputs, batch_inputs, elapsed=None):
1309	"""
1310	Display fit result in batch
1311	:param result: list of objects received fromt fit engines
1312	:param pars: list of fitted parameters names
1313	:param page_id: list of page ids which called fit function
1314	:param elapsed: time spent at the fitting level
1315	"""
1316	self._mac_sleep(0.2)
1317	uid = page_id[0]
1318	if uid in self.fit_thread_list.keys():
1319	del self.fit_thread_list[uid]
1320
1321	self._update_fit_button(page_id)
1322	t1 = time.time()
1323	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1324	msg = "Fit completed on %s \n" % str_time
1325	msg += "Duration time: %s s.\n" % str(elapsed)
1326	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
1327	type="stop"))
1328
1329	if batch_outputs is None:
1330	batch_outputs = {}
1331
1332	# format batch_outputs
1333	batch_outputs["Chi2"] = []
1334	#Don't like these loops
1335	# Need to create dictionary of all fitted parameters
1336	# since the number of parameters can differ between each fit result
1337	for list_res in result:
1338	for res in list_res:
1339	model, data = res.inputs[0]
1340	if model is not None and hasattr(model, "model"):
1341	model = model.model
1342	#get all fittable parameters of the current model
1343	for param in model.getParamList():
1344	if param not in batch_outputs.keys():
1345	batch_outputs[param] = []
1346	for param in model.getDispParamList():
1347	if not model.is_fittable(param) and \
1348	param in batch_outputs.keys():
1349	del batch_outputs[param]
1350	# Add fitted parameters and their error
1351	for param in res.param_list:
1352	if param not in batch_outputs.keys():
1353	batch_outputs[param] = []
1354	err_param = "error on %s" % str(param)
1355	if err_param not in batch_inputs.keys():
1356	batch_inputs[err_param] = []
1357	msg = ""
1358	for list_res in result:
1359	for res in list_res:
1360	pid = res.fitter_id
1361	model, data = res.inputs[0]
1362	correct_result = False
1363	if model is not None and hasattr(model, "model"):
1364	model = model.model
1365	if data is not None and hasattr(data, "sans_data"):
1366	data = data.sans_data
1367
1368	is_data2d = issubclass(data.__class__, Data2D)
1369	#check consistency of arrays
1370	if not is_data2d:
1371	if len(res.theory) == len(res.index[res.index]) and \
1372	len(res.index) == len(data.y):
1373	correct_result = True
1374	else:
1375	copy_data = deepcopy(data)
1376	new_theory = copy_data.data
1377	new_theory[res.index] = res.theory
1378	new_theory[res.index == False] = numpy.nan
1379	correct_result = True
1380	#get all fittable parameters of the current model
1381	param_list = model.getParamList()
1382	for param in model.getDispParamList():
1383	if not model.is_fittable(param) and \
1384	param in param_list:
1385	param_list.remove(param)
1386	if not correct_result or res.fitness is None or \
1387	not numpy.isfinite(res.fitness) or \
1388	numpy.any(res.pvec == None) or not \
1389	numpy.all(numpy.isfinite(res.pvec)):
1390	data_name = str(None)
1391	if data is not None:
1392	data_name = str(data.name)
1393	model_name = str(None)
1394	if model is not None:
1395	model_name = str(model.name)
1396	msg += "Data %s and Model %s did not fit.\n" % (data_name,
1397	model_name)
1398	ERROR = numpy.NAN
1399	cell = BatchCell()
1400	cell.label = res.fitness
1401	cell.value = res.fitness
1402	batch_outputs["Chi2"].append(ERROR)
1403	for param in param_list:
1404	# save value of fixed parameters
1405	if param not in res.param_list:
1406	batch_outputs[str(param)].append(ERROR)
1407	else:
1408	#save only fitted values
1409	batch_outputs[param].append(ERROR)
1410	batch_inputs["error on %s" % str(param)].append(ERROR)
1411	else:
1412	# ToDo: Why sometimes res.pvec comes with numpy.float64?
1413	# Need to fix it within ScipyEngine
1414	if res.pvec.__class__== numpy.float64:
1415	res.pvec = [res.pvec]
1416
1417	cell = BatchCell()
1418	cell.label = res.fitness
1419	cell.value = res.fitness
1420	batch_outputs["Chi2"].append(cell)
1421	# add parameters to batch_results
1422	for param in param_list:
1423	# save value of fixed parameters
1424	if param not in res.param_list:
1425	batch_outputs[str(param)].append(model.getParam(param))
1426	else:
1427	index = res.param_list.index(param)
1428	#save only fitted values
1429	batch_outputs[param].append(res.pvec[index])
1430	if res.stderr is not None and \
1431	len(res.stderr) == len(res.param_list):
1432	item = res.stderr[index]
1433	batch_inputs["error on %s" % param].append(item)
1434	else:
1435	batch_inputs["error on %s" % param].append('-')
1436	model.setParam(param, res.pvec[index])
1437	#fill the batch result with emtpy value if not in the current
1438	#model
1439	EMPTY = "-"
1440	for key in batch_outputs.keys():
1441	if key not in param_list and key not in ["Chi2", "Data"]:
1442	batch_outputs[key].append(EMPTY)
1443	#for key in batch_inputs.keys():
1444	#if key not in param_list and key not in ["Chi2", "Data"]:
1445	#batch_inputs[key].append(EMPTY)
1446
1447	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
1448	batch_outputs=batch_outputs)
1449
1450	cpage = self.fit_panel.get_page_by_id(pid)
1451	cpage._on_fit_complete()
1452	self.page_finder[pid][data.id].set_result(res)
1453	fitproblem = self.page_finder[pid][data.id]
1454	qmin, qmax = fitproblem.get_range()
1455	plot_result = False
1456	if correct_result and plot_result:
1457	if not is_data2d:
1458	self._complete1D(x=data.x, y=res.theory, page_id=pid,
1459	elapsed=None,
1460	index=res.index, model=model,
1461	weight=None, fid=data.id,
1462	toggle_mode_on=False, state=None,
1463	data=data, update_chisqr=False,
1464	source='fit')
1465	else:
1466	self._complete2D(image=new_theory, data=data,
1467	model=model,
1468	page_id=pid, elapsed=None,
1469	index=res.index,
1470	qmin=qmin,
1471	qmax=qmax, fid=data.id, weight=None,
1472	toggle_mode_on=False, state=None,
1473	update_chisqr=False,
1474	source='fit')
1475	self.on_set_batch_result(page_id=pid,
1476	fid=data.id,
1477	batch_outputs=batch_outputs,
1478	batch_inputs=batch_inputs)
1479
1480	wx.PostEvent(self.parent, StatusEvent(status=msg, error="error",
1481	type="stop"))
1482	# Remove parameters that are not shown
1483	cpage = self.fit_panel.get_page_by_id(uid)
1484	tbatch_outputs = {}
1485	shownkeystr = cpage.get_copy_params()
1486	for key in batch_outputs.keys():
1487	if key in ["Chi2", "Data"] or shownkeystr.count(key)>0:
1488	tbatch_outputs[key] = batch_outputs[key]
1489
1490	wx.CallAfter(self.parent.on_set_batch_result,tbatch_outputs,
1491	batch_inputs,
1492	self.sub_menu)
1493
1494	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
1495	"""
1496	"""
1497
1498	pid = page_id
1499	if fid not in self.page_finder[pid]:
1500	return
1501	fitproblem = self.page_finder[pid][fid]
1502	index = self.page_finder[pid].nbr_residuals_computed - 1
1503	residuals = fitproblem.get_residuals()
1504	theory_data = fitproblem.get_theory_data()
1505	data = fitproblem.get_fit_data()
1506	model = fitproblem.get_model()
1507	#fill batch result information
1508	if "Data" not in batch_outputs.keys():
1509	batch_outputs["Data"] = []
1510	from sans.guiframe.data_processor import BatchCell
1511	cell = BatchCell()
1512	cell.label = data.name
1513	cell.value = index
1514
1515	if theory_data != None:
1516	#Suucessful fit
1517	theory_data.id = wx.NewId()
1518	theory_data.name = model.name + "[%s]" % str(data.name)
1519	if issubclass(theory_data.__class__, Data2D):
1520	group_id = wx.NewId()
1521	theory_data.group_id = group_id
1522	if group_id not in theory_data.list_group_id:
1523	theory_data.list_group_id.append(group_id)
1524
1525	try:
1526	# associate residuals plot
1527	if issubclass(residuals.__class__, Data2D):
1528	group_id = wx.NewId()
1529	residuals.group_id = group_id
1530	if group_id not in residuals.list_group_id:
1531	residuals.list_group_id.append(group_id)
1532	batch_outputs["Chi2"][index].object = [residuals]
1533	except:
1534	pass
1535
1536	cell.object = [data, theory_data]
1537	batch_outputs["Data"].append(cell)
1538	for key, value in data.meta_data.iteritems():
1539	if key not in batch_inputs.keys():
1540	batch_inputs[key] = []
1541	#if key.lower().strip() != "loader":
1542	batch_inputs[key].append(value)
1543	param = "temperature"
1544	if hasattr(data.sample, param):
1545	if param not in batch_inputs.keys():
1546	batch_inputs[param] = []
1547	batch_inputs[param].append(data.sample.temperature)
1548
1549
1550	def _fit_completed(self, result, page_id, batch_outputs,
1551	batch_inputs=None,
1552	pars=None,
1553	elapsed=None):
1554	"""
1555	Display result of the fit on related panel(s).
1556	:param result: list of object generated when fit ends
1557	:param pars: list of names of parameters fitted
1558	:param page_id: list of page ids which called fit function
1559	:param elapsed: time spent at the fitting level
1560	"""
1561	t1 = time.time()
1562	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1563	msg = "Fit completed on %s \n" % str_time
1564	msg += "Duration time: %s s.\n" % str(elapsed)
1565	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
1566	type="stop"))
1567	# reset fit_engine if changed by simul_fit
1568	if self._fit_engine != self._gui_engine:
1569	self._on_change_engine(self._gui_engine)
1570	self._update_fit_button(page_id)
1571	result = result[0]
1572	self.fit_thread_list = {}
1573	if page_id is None:
1574	page_id = []
1575	## fit more than 1 model at the same time
1576	self._mac_sleep(0.2)
1577	try:
1578	index = 0
1579	for uid in page_id:
1580	res = result[index]
1581	if res.fitness is None or \
1582	not numpy.isfinite(res.fitness) or \
1583	numpy.any(res.pvec == None) or \
1584	not numpy.all(numpy.isfinite(res.pvec)):
1585	msg = "Fitting did not converge!!!"
1586	wx.PostEvent(self.parent,
1587	StatusEvent(status=msg,
1588	info="warning",
1589	type="stop"))
1590	self._update_fit_button(page_id)
1591	else:
1592	#set the panel when fit result are float not list
1593	if res.pvec.__class__== numpy.float64:
1594	pvec = [res.pvec]
1595	else:
1596	pvec = res.pvec
1597	if res.stderr.__class__== numpy.float64:
1598	stderr = [res.stderr]
1599	else:
1600	stderr = res.stderr
1601	cpage = self.fit_panel.get_page_by_id(uid)
1602	# Make sure we got all results
1603	#(CallAfter is important to MAC)
1604	try:
1605	#if res != None:
1606	wx.CallAfter(cpage.onsetValues, res.fitness, res.param_list,
1607	pvec, stderr)
1608	index += 1
1609	wx.CallAfter(cpage._on_fit_complete)
1610	except:
1611	msg = "Singular point: Fitting Error occured."
1612	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
1613	type="stop"))
1614
1615	except:
1616	msg = "Fit completed but Following"
1617	msg += " error occurred:%s" % sys.exc_value
1618	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
1619	type="stop"))
1620
1621	def _update_fit_button(self, page_id):
1622	"""
1623	Update Fit button when fit stopped
1624
1625	: parameter page_id: fitpage where the button is
1626	"""
1627	if page_id.__class__.__name__ != 'list':
1628	page_id = [page_id]
1629	for uid in page_id:
1630	page = self.fit_panel.get_page_by_id(uid)
1631	page._on_fit_complete()
1632
1633	def _on_show_panel(self, event):
1634	"""
1635	"""
1636	pass
1637
1638	def on_reset_batch_flag(self, event):
1639	"""
1640	Set batch_reset_flag
1641	"""
1642	event.Skip()
1643	if self.menu1 == None:
1644	return
1645	menu_item = self.menu1.FindItemById(self.id_reset_flag)
1646	flag = menu_item.IsChecked()
1647	if not flag:
1648	menu_item.Check(False)
1649	self.batch_reset_flag = True
1650	else:
1651	menu_item.Check(True)
1652	self.batch_reset_flag = False
1653
1654	## post a message to status bar
1655	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
1656	wx.PostEvent(self.parent,
1657	StatusEvent(status=msg))
1658
1659	def _onset_engine_park(self,event):
1660	"""
1661	set engine to park
1662	"""
1663	self._on_change_engine('park')
1664
1665	def _onset_engine_scipy(self,event):
1666	"""
1667	set engine to scipy
1668	"""
1669	self._on_change_engine('scipy')
1670
1671	def _on_slicer_event(self, event):
1672	"""
1673	Receive a panel as event and send it to guiframe
1674
1675	:param event: event containing a panel
1676
1677	"""
1678	if event.panel is not None:
1679	new_panel = event.panel
1680	self.slicer_panels.append(event.panel)
1681	# Set group ID if available
1682	event_id = self.parent.popup_panel(new_panel)
1683	new_panel.uid = event_id
1684	self.mypanels.append(new_panel)
1685
1686	def _onclearslicer(self, event):
1687	"""
1688	Clear the boxslicer when close the panel associate with this slicer
1689	"""
1690	name =event.GetPane().caption
1691
1692	for panel in self.slicer_panels:
1693	if panel.window_caption==name:
1694
1695	for item in self.parent.panels:
1696	if hasattr(self.parent.panels[item], "uid"):
1697	if self.parent.panels[item].uid ==panel.base.uid:
1698	self.parent.panels[item].onClearSlicer(event)
1699	self.parent._mgr.Update()
1700	break
1701	break
1702
1703	def _return_engine_type(self):
1704	"""
1705	return the current type of engine
1706	"""
1707	return self._fit_engine
1708
1709
1710	def _on_change_engine(self, engine='park'):
1711	"""
1712	Allow to select the type of engine to perform fit
1713
1714	:param engine: the key work of the engine
1715
1716	"""
1717	## saving fit engine name
1718	self._fit_engine = engine
1719	## change menu item state
1720	if engine == "park":
1721	self.menu1.FindItemById(self.park_id).Check(True)
1722	self.menu1.FindItemById(self.scipy_id).Check(False)
1723	else:
1724	self.menu1.FindItemById(self.park_id).Check(False)
1725	self.menu1.FindItemById(self.scipy_id).Check(True)
1726	## post a message to status bar
1727	msg = "Engine set to: %s" % self._fit_engine
1728	wx.PostEvent(self.parent,
1729	StatusEvent(status=msg))
1730	## send the current engine type to fitpanel
1731	self.fit_panel._on_engine_change(name=self._fit_engine)
1732
1733
1734	def _on_model_panel(self, evt):
1735	"""
1736	react to model selection on any combo box or model menu.plot the model
1737
1738	:param evt: wx.combobox event
1739
1740	"""
1741	model = evt.model
1742	uid = evt.uid
1743	qmin = evt.qmin
1744	qmax = evt.qmax
1745	smearer = evt.smearer
1746	caption = evt.caption
1747	enable_smearer = evt.enable_smearer
1748	if model == None:
1749	return
1750	if uid not in self.page_finder.keys():
1751	return
1752	# save the name containing the data name with the appropriate model
1753	self.page_finder[uid].set_model(model)
1754	self.page_finder[uid].enable_smearing(enable_smearer)
1755	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1756	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1757	if self.sim_page is not None and not self.batch_on:
1758	self.sim_page.draw_page()
1759	if self.batch_page is not None and self.batch_on:
1760	self.batch_page.draw_page()
1761
1762	def _update1D(self, x, output):
1763	"""
1764	Update the output of plotting model 1D
1765	"""
1766	msg = "Plot updating ... "
1767	wx.PostEvent(self.parent, StatusEvent(status=msg,type="update"))
1768
1769	def _complete1D(self, x, y, page_id, elapsed, index, model,
1770	weight=None, fid=None,
1771	toggle_mode_on=False, state=None,
1772	data=None, update_chisqr=True, source='model'):
1773	"""
1774	Complete plotting 1D data
1775	"""
1776	try:
1777	numpy.nan_to_num(y)
1778
1779	new_plot = Data1D(x=x, y=y)
1780	new_plot.is_data = False
1781	new_plot.dy = numpy.zeros(len(y))
1782	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1783	_yaxis, _yunit = data.get_yaxis()
1784	_xaxis, _xunit = data.get_xaxis()
1785	new_plot.title = data.name
1786
1787	new_plot.group_id = data.group_id#self.page_finder[page_id].get_graph_id()
1788	if new_plot.group_id == None:
1789	new_plot.group_id = data.group_id
1790	new_plot.id = str(page_id) + "model-" + data.name
1791	#if new_plot.id in self.color_dict:
1792	# new_plot.custom_color = self.color_dict[new_plot.id]
1793	#find if this theory was already plotted and replace that plot given
1794	#the same id
1795	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
1796
1797	if data.is_data:
1798	data_name = str(data.name)
1799	else:
1800	data_name = str(model.__class__.__name__)
1801
1802	new_plot.name = model.name + " ["+ data_name +"]"
1803	new_plot.xaxis(_xaxis, _xunit)
1804	new_plot.yaxis(_yaxis, _yunit)
1805	self.page_finder[page_id].set_theory_data(data=new_plot,
1806	fid=data.id)
1807	self.parent.update_theory(data_id=data.id, theory=new_plot,
1808	state=state)
1809	current_pg = self.fit_panel.get_page_by_id(page_id)
1810	title = new_plot.title
1811	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1812	if not batch_on:
1813	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1814	title=str(title)))
1815	else:
1816	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
1817	if data.id == top_data_id:
1818	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1819	title=str(title)))
1820	caption = current_pg.window_caption
1821	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
1822
1823	self.page_finder[page_id].set_theory_data(data=new_plot,
1824	fid=data.id)
1825	if toggle_mode_on:
1826	wx.PostEvent(self.parent,
1827	NewPlotEvent(group_id=str(page_id) + " Model2D",
1828	action="Hide"))
1829	else:
1830	if update_chisqr:
1831	wx.PostEvent(current_pg,
1832	Chi2UpdateEvent(output=self._cal_chisqr(
1833	data=data,
1834	fid=fid,
1835	weight=weight,
1836	page_id=page_id,
1837	index=index)))
1838	else:
1839	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1840	index=index, weight=weight)
1841
1842	msg = "Computation completed!"
1843	wx.PostEvent( self.parent, StatusEvent(status=msg, type="stop" ))
1844	except:
1845	raise
1846	#msg = " Error occurred when drawing %s Model 1D: " % new_plot.name
1847	#msg += " %s" % sys.exc_value
1848	#wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1849
1850	def _update2D(self, output,time=None):
1851	"""
1852	Update the output of plotting model
1853	"""
1854	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1855	#updating ... ", type="update"))
1856	#self.ready_fit()
1857
1858	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1859	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
1860	update_chisqr=True, source='model'):
1861	"""
1862	Complete get the result of modelthread and create model 2D
1863	that can be plot.
1864	"""
1865	numpy.nan_to_num(image)
1866	new_plot= Data2D(image=image, err_image=data.err_data)
1867	new_plot.name = model.name
1868	new_plot.title = "Analytical model 2D "
1869	new_plot.id = str(page_id) + "model-" + data.name
1870	new_plot.group_id = str(page_id) + " Model2D"
1871	new_plot.detector = data.detector
1872	new_plot.source = data.source
1873	new_plot.is_data = False
1874	new_plot.qx_data = data.qx_data
1875	new_plot.qy_data = data.qy_data
1876	new_plot.q_data = data.q_data
1877	new_plot.mask = data.mask
1878	## plot boundaries
1879	new_plot.ymin = data.ymin
1880	new_plot.ymax = data.ymax
1881	new_plot.xmin = data.xmin
1882	new_plot.xmax = data.xmax
1883	title = data.title
1884
1885	new_plot.is_data = False
1886	if data.is_data:
1887	data_name = str(data.name)
1888	else:
1889	data_name = str(model.__class__.__name__)
1890
1891	if len(title) > 1:
1892	new_plot.title = "Model2D for " + data_name
1893	new_plot.name = model.name + " [" + \
1894	data_name + "-2D]"
1895	theory_data = deepcopy(new_plot)
1896	theory_data.name = "Unknown"
1897
1898	self.page_finder[page_id].set_theory_data(data=theory_data, fid=data.id)
1899	self.parent.update_theory(data_id=data.id,
1900	theory=new_plot,
1901	state=state)
1902	current_pg = self.fit_panel.get_page_by_id(page_id)
1903	title = new_plot.title
1904	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1905	if not source == 'fit':
1906	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1907	title=title))
1908	self.page_finder[page_id].set_theory_data(data=new_plot, fid=data.id)
1909	if toggle_mode_on:
1910	wx.PostEvent(self.parent,
1911	NewPlotEvent(group_id=str(page_id) + " Model1D",
1912	action="Hide"))
1913	else:
1914	# Chisqr in fitpage
1915	if update_chisqr:
1916	wx.PostEvent(current_pg,
1917	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1918	weight=weight,
1919	fid=fid,
1920	page_id=page_id,
1921	index=index)))
1922	else:
1923	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1924	index=index, weight=weight)
1925	msg = "Computation completed!"
1926	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1927
1928	def _draw_model2D(self, model, page_id, qmin,
1929	qmax,
1930	data=None, smearer=None,
1931	description=None, enable2D=False,
1932	state=None,
1933	fid=None,
1934	weight=None,
1935	toggle_mode_on=False,
1936	update_chisqr=True, source='model'):
1937	"""
1938	draw model in 2D
1939
1940	:param model: instance of the model to draw
1941	:param description: the description of the model
1942	:param enable2D: when True allows to draw model 2D
1943	:param qmin: the minimum value to draw model 2D
1944	:param qmax: the maximum value to draw model 2D
1945	:param qstep: the number of division of Qx and Qy of the model to draw
1946
1947	"""
1948	if not enable2D:
1949	return None
1950	try:
1951	from model_thread import Calc2D
1952	## If a thread is already started, stop it
1953	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1954	self.calc_2D.stop()
1955	self.calc_2D = Calc2D(model=model,
1956	data=data,
1957	page_id=page_id,
1958	smearer=smearer,
1959	qmin=qmin,
1960	qmax=qmax,
1961	weight=weight,
1962	fid=fid,
1963	toggle_mode_on=toggle_mode_on,
1964	state=state,
1965	completefn=self._complete2D,
1966	update_chisqr=update_chisqr, source=source)
1967	self.calc_2D.queue()
1968
1969	except:
1970	raise
1971	#msg = " Error occurred when drawing %s Model 2D: " % model.name
1972	#msg += " %s" % sys.exc_value
1973	#wx.PostEvent(self.parent, StatusEvent(status=msg))
1974
1975	def _draw_model1D(self, model, page_id, data,
1976	qmin, qmax, smearer=None,
1977	state=None,
1978	weight=None,
1979	fid=None,
1980	toggle_mode_on=False, update_chisqr=True, source='model',
1981	enable1D=True):
1982	"""
1983	Draw model 1D from loaded data1D
1984
1985	:param data: loaded data
1986	:param model: the model to plot
1987
1988	"""
1989	if not enable1D:
1990	return
1991	try:
1992	from model_thread import Calc1D
1993	## If a thread is already started, stop it
1994	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1995	self.calc_1D.stop()
1996	self.calc_1D = Calc1D(data=data,
1997	model=model,
1998	page_id=page_id,
1999	qmin=qmin,
2000	qmax=qmax,
2001	smearer=smearer,
2002	state=state,
2003	weight=weight,
2004	fid=fid,
2005	toggle_mode_on=toggle_mode_on,
2006	completefn=self._complete1D,
2007	#updatefn = self._update1D,
2008	update_chisqr=update_chisqr,
2009	source=source)
2010	self.calc_1D.queue()
2011	except:
2012	msg = " Error occurred when drawing %s Model 1D: " % model.name
2013	msg += " %s" % sys.exc_value
2014	wx.PostEvent(self.parent, StatusEvent(status=msg))
2015
2016
2017
2018	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
2019	"""
2020	Get handy Chisqr using the output from draw1D and 2D,
2021	instead of calling expansive CalcChisqr in guithread
2022	"""
2023	data_copy = deepcopy(data)
2024	# default chisqr
2025	chisqr = None
2026	#to compute chisq make sure data has valid data
2027	# return None if data == None
2028	if not check_data_validity(data_copy) or data_copy == None:
2029	return chisqr
2030
2031	# Get data: data I, theory I, and data dI in order
2032	if data_copy.__class__.__name__ == "Data2D":
2033	if index == None:
2034	index = numpy.ones(len(data_copy.data),ntype=bool)
2035	if weight != None:
2036	data_copy.err_data = weight
2037	# get rid of zero error points
2038	index = index & (data_copy.err_data != 0)
2039	index = index & (numpy.isfinite(data_copy.data))
2040	fn = data_copy.data[index]
2041	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2042	if theory_data== None:
2043	return chisqr
2044	gn = theory_data.data[index]
2045	en = data_copy.err_data[index]
2046	else:
2047	# 1 d theory from model_thread is only in the range of index
2048	if index == None:
2049	index = numpy.ones(len(data_copy.y), ntype=bool)
2050	if weight != None:
2051	data_copy.dy = weight
2052	if data_copy.dy == None or data_copy.dy == []:
2053	dy = numpy.ones(len(data_copy.y))
2054	else:
2055	## Set consitently w/AbstractFitengine:
2056	# But this should be corrected later.
2057	dy = deepcopy(data_copy.dy)
2058	dy[dy==0] = 1
2059	fn = data_copy.y[index]
2060
2061	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2062	if theory_data== None:
2063	return chisqr
2064	gn = theory_data.y
2065	en = dy[index]
2066
2067	# residual
2068	res = (fn - gn) / en
2069	residuals = res[numpy.isfinite(res)]
2070	# get chisqr only w/finite
2071	chisqr = numpy.average(residuals * residuals)
2072
2073	self._plot_residuals(page_id=page_id, data=data_copy,
2074	fid=fid,
2075	weight=weight, index=index)
2076
2077	return chisqr
2078
2079	def _plot_residuals(self, page_id, weight, fid=None,
2080	data=None, index=None):
2081	"""
2082	Plot the residuals
2083
2084	:param data: data
2085	:param index: index array (bool)
2086	: Note: this is different from the residuals in cal_chisqr()
2087	"""
2088	data_copy = deepcopy(data)
2089	# Get data: data I, theory I, and data dI in order
2090	if data_copy.__class__.__name__ == "Data2D":
2091	# build residuals
2092	residuals = Data2D()
2093	#residuals.copy_from_datainfo(data)
2094	# Not for trunk the line below, instead use the line above
2095	data_copy.clone_without_data(len(data_copy.data), residuals)
2096	residuals.data = None
2097	fn = data_copy.data#[index]
2098	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2099	gn = theory_data.data#[index]
2100	if weight == None:
2101	en = data_copy.err_data
2102	else:
2103	en = weight
2104	residuals.data = (fn - gn) / en
2105	residuals.qx_data = data_copy.qx_data#[index]
2106	residuals.qy_data = data_copy.qy_data #[index]
2107	residuals.q_data = data_copy.q_data#[index]
2108	residuals.err_data = numpy.ones(len(residuals.data))#[index]
2109	residuals.xmin = min(residuals.qx_data)
2110	residuals.xmax = max(residuals.qx_data)
2111	residuals.ymin = min(residuals.qy_data)
2112	residuals.ymax = max(residuals.qy_data)
2113	residuals.q_data = data_copy.q_data#[index]
2114	residuals.mask = data_copy.mask
2115	residuals.scale = 'linear'
2116	# check the lengths
2117	if len(residuals.data) != len(residuals.q_data):
2118	return
2119	else:
2120	# 1 d theory from model_thread is only in the range of index
2121	if data_copy.dy == None or data_copy.dy == []:
2122	dy = numpy.ones(len(data_copy.y))
2123	else:
2124	if weight == None:
2125	dy = numpy.ones(len(data_copy.y))
2126	## Set consitently w/AbstractFitengine:
2127	## But this should be corrected later.
2128	else:
2129	dy = weight#deepcopy(data_copy.dy)
2130	dy[dy==0] = 1
2131	fn = data_copy.y[index]
2132	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2133	gn = theory_data.y
2134	en = dy[index]
2135	# build residuals
2136	residuals = Data1D()
2137	residuals.y = (fn - gn) / en
2138	residuals.x = data_copy.x[index]
2139	residuals.dy = numpy.ones(len(residuals.y))
2140	residuals.dx = None
2141	residuals.dxl = None
2142	residuals.dxw = None
2143	residuals.ytransform = 'y'
2144	# For latter scale changes
2145	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
2146	residuals.yaxis('\\rm{Residuals} ', 'normalized')
2147	new_plot = residuals
2148	new_plot.name = "Residuals for " + str(theory_data.name.split()[0]) +"[" + str(data.name) +"]"
2149	## allow to highlight data when plotted
2150	new_plot.interactive = True
2151	## when 2 data have the same id override the 1 st plotted
2152	new_plot.id = "res" + str(data_copy.id)#name + " residuals"
2153	##group_id specify on which panel to plot this data
2154	group_id = self.page_finder[page_id].get_graph_id()
2155	if group_id == None:
2156	group_id = data.group_id
2157	new_plot.group_id ="res" + str(group_id)
2158	#new_plot.is_data = True
2159	##post data to plot
2160	title = new_plot.name
2161	self.page_finder[page_id].set_residuals(residuals=new_plot, fid=data.id)
2162	self.parent.update_theory(data_id=data.id, theory=new_plot)
2163	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
2164	if not batch_on:
2165	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))
2166
2167
2168	#def profile(fn, args, *kw):
2169	# import cProfile, pstats, os
2170	# global call_result
2171	# def call():
2172	# global call_result
2173	# call_result = fn(args, *kw)
2174	# cProfile.runctx('call()', dict(call=call), {}, 'profile.out')
2175	# stats = pstats.Stats('profile.out')
2176	# #stats.sort_stats('time')
2177	# stats.sort_stats('calls')
2178	# stats.print_stats()
2179	# os.unlink('profile.out')
2180	# return call_result
2181	if __name__ == "__main__":
2182	i = Plugin()
2183
2184
2185
2186

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SasView

source: sasview/fittingview/src/sans/perspectives/fitting/fitting.py @ 278b995

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