fitting.py @ a342928

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 a342928 was 225aca8, checked in by mathieu, 9 years ago

Merge pull request #3 from SasView?/standalone_cleanup

Standalone cleanup

Property mode set to 100644

File size: 83.2 KB

Line
1	"""
2	Fitting perspective
3	"""
4	################################################################################
5	#This software was developed by the University of Tennessee as part of the
6	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
7	#project funded by the US National Science Foundation.
8	#
9	#See the license text in license.txt
10	#
11	#copyright 2009, University of Tennessee
12	################################################################################
13	import re
14	import sys
15	import os
16	import wx
17	import logging
18	import numpy
19	import time
20	from copy import deepcopy
21	import models
22
23	from sas.dataloader.loader import Loader
24	from sas.guiframe.dataFitting import Data2D
25	from sas.guiframe.dataFitting import Data1D
26	from sas.guiframe.dataFitting import check_data_validity
27	from sas.guiframe.events import NewPlotEvent
28	from sas.guiframe.events import StatusEvent
29	from sas.guiframe.events import EVT_SLICER_PANEL
30	from sas.guiframe.events import EVT_SLICER_PARS_UPDATE
31	from sas.guiframe.gui_style import GUIFRAME_ID
32	from sas.guiframe.plugin_base import PluginBase
33	from sas.guiframe.data_processor import BatchCell
34	from sas.fit.BumpsFitting import BumpsFit as Fit
35	from sas.perspectives.fitting.console import ConsoleUpdate
36	from sas.perspectives.fitting.fitproblem import FitProblemDictionary
37	from sas.perspectives.fitting.fitpanel import FitPanel
38	from sas.perspectives.fitting.resultpanel import ResultPanel, PlotResultEvent
39
40	from sas.perspectives.fitting.fit_thread import FitThread
41	from sas.perspectives.fitting.pagestate import Reader
42	from sas.perspectives.fitting.fitpage import Chi2UpdateEvent
43	from sas.perspectives.calculator.model_editor import TextDialog
44	from sas.perspectives.calculator.model_editor import EditorWindow
45	from sas.guiframe.gui_manager import MDIFrame
46
47	MAX_NBR_DATA = 4
48
49	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
50
51
52	if sys.platform == "win32":
53	ON_MAC = False
54	else:
55	ON_MAC = True
56
57
58
59	class Plugin(PluginBase):
60	"""
61	Fitting plugin is used to perform fit
62	"""
63	def __init__(self):
64	PluginBase.__init__(self, name="Fitting")
65
66	#list of panel to send to guiframe
67	self.mypanels = []
68	# reference to the current running thread
69	self.calc_2D = None
70	self.calc_1D = None
71
72	self.color_dict = {}
73
74	self.fit_thread_list = {}
75	self.residuals = None
76	self.weight = None
77	self.fit_panel = None
78	self.plot_panel = None
79	# Start with a good default
80	self.elapsed = 0.022
81	self.fit_panel = None
82	## dictionary of page closed and id
83	self.closed_page_dict = {}
84	## Relative error desired in the sum of squares (float)
85	self.batch_reset_flag = True
86	#List of selected data
87	self.selected_data_list = []
88	## list of slicer panel created to display slicer parameters and results
89	self.slicer_panels = []
90	# model 2D view
91	self.model2D_id = None
92	#keep reference of the simultaneous fit page
93	self.sim_page = None
94	self.sim_menu = None
95	self.batch_page = None
96	self.batch_menu = None
97	self.index_model = 0
98	self.test_model_color = None
99	#Create a reader for fit page's state
100	self.state_reader = None
101	self._extensions = '.fitv'
102	self.menu1 = None
103	self.new_model_frame = None
104
105	self.temp_state = []
106	self.state_index = 0
107	self.sfile_ext = None
108	# take care of saving data, model and page associated with each other
109	self.page_finder = {}
110	# Log startup
111	logging.info("Fitting plug-in started")
112	self.batch_capable = self.get_batch_capable()
113
114	def get_batch_capable(self):
115	"""
116	Check if the plugin has a batch capability
117	"""
118	return True
119
120	def create_fit_problem(self, page_id):
121	"""
122	Given an ID create a fitproblem container
123	"""
124	self.page_finder[page_id] = FitProblemDictionary()
125
126	def delete_fit_problem(self, page_id):
127	"""
128	Given an ID create a fitproblem container
129	"""
130	if page_id in self.page_finder.iterkeys():
131	del self.page_finder[page_id]
132
133	def add_color(self, color, id):
134	"""
135	adds a color as a key with a plot id as its value to a dictionary
136	"""
137	self.color_dict[id] = color
138
139	def on_batch_selection(self, flag):
140	"""
141	switch the the notebook of batch mode or not
142	"""
143	self.batch_on = flag
144	if self.fit_panel is not None:
145	self.fit_panel.batch_on = self.batch_on
146
147	def populate_menu(self, owner):
148	"""
149	Create a menu for the Fitting plug-in
150
151	:param id: id to create a menu
152	:param owner: owner of menu
153
154	:return: list of information to populate the main menu
155
156	"""
157	#Menu for fitting
158	self.menu1 = wx.Menu()
159	id1 = wx.NewId()
160	simul_help = "Add new fit panel"
161	self.menu1.Append(id1, '&New Fit Page', simul_help)
162	wx.EVT_MENU(owner, id1, self.on_add_new_page)
163	self.menu1.AppendSeparator()
164	self.id_simfit = wx.NewId()
165	simul_help = "Constrained or Simultaneous Fit"
166	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
167	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
168	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
169	self.sim_menu.Enable(False)
170	#combined Batch
171	self.id_batchfit = wx.NewId()
172	batch_help = "Combined Batch"
173	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
174	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
175	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
176	self.batch_menu.Enable(False)
177
178	self.menu1.AppendSeparator()
179	self.id_bumps_options = wx.NewId()
180	bopts_help = "Fitting options"
181	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
182	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
183	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
184	self.bumps_options_menu.Enable(True)
185
186	self.id_result_panel = wx.NewId()
187	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
188	wx.EVT_MENU(owner, self.id_result_panel, self.on_fit_results)
189	self.menu1.AppendSeparator()
190
191	self.id_reset_flag = wx.NewId()
192	resetf_help = "BatchFit: If checked, the initial param values will be "
193	resetf_help += "propagated from the previous results. "
194	resetf_help += "Otherwise, the same initial param values will be used "
195	resetf_help += "for all fittings."
196	self.menu1.AppendCheckItem(self.id_reset_flag,
197	"Chain Fitting [BatchFit Only]",
198	resetf_help)
199	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
200	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
201	chain_menu.Check(not self.batch_reset_flag)
202	chain_menu.Enable(self.batch_on)
203
204	self.menu1.AppendSeparator()
205	self.edit_model_menu = wx.Menu()
206	# Find and put files name in menu
207	try:
208	self.set_edit_menu(owner=owner)
209	except:
210	raise
211
212	self.id_edit = wx.NewId()
213	editmodel_help = "Edit customized model sample file"
214	self.menu1.AppendMenu(self.id_edit, "Edit Custom Model",
215	self.edit_model_menu, editmodel_help)
216	#create menubar items
217	return [(self.menu1, self.sub_menu)]
218
219	def edit_custom_model(self, event):
220	"""
221	Get the python editor panel
222	"""
223	event_id = event.GetId()
224	label = self.edit_menu.GetLabel(event_id)
225	from sas.perspectives.calculator.pyconsole import PyConsole
226	filename = os.path.join(models.find_plugins_dir(), label)
227	frame = PyConsole(parent=self.parent, manager=self,
228	panel=self.fit_panel,
229	title='Advanced Custom Model Editor',
230	filename=filename)
231	self.put_icon(frame)
232	frame.Show(True)
233
234	def delete_custom_model(self, event):
235	"""
236	Delete custom model file
237	"""
238	event_id = event.GetId()
239	label = self.delete_menu.GetLabel(event_id)
240	toks = os.path.splitext(label)
241	path = os.path.join(models.find_plugins_dir(), toks[0])
242	try:
243	for ext in ['.py', '.pyc']:
244	p_path = path + ext
245	os.remove(p_path)
246	self.update_custom_combo()
247	if os.path.isfile(p_path):
248	msg = "Sorry! Could not be able to delete the default "
249	msg += "custom model... \n"
250	msg += "Please manually remove the files (.py, .pyc) "
251	msg += "in the 'plugin_models' folder \n"
252	msg += "inside of the SasView application, "
253	msg += "and try it again."
254	wx.MessageBox(msg, 'Info')
255	#wx.PostEvent(self.parent, StatusEvent(status=msg, type='stop',
256	# info='warning'))
257	else:
258	self.delete_menu.Delete(event_id)
259	for item in self.edit_menu.GetMenuItems():
260	if item.GetLabel() == label:
261	self.edit_menu.DeleteItem(item)
262	msg = "The custom model, %s, has been deleted." % label
263	wx.PostEvent(self.parent, StatusEvent(status=msg,
264	type='stop', info='info'))
265	break
266	except:
267	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
268	wx.MessageBox(msg, 'Error')
269
270	def make_sum_model(self, event):
271	"""
272	Edit summodel template and make one
273	"""
274	event_id = event.GetId()
275	model_manager = models.ModelManager()
276	model_list = model_manager.get_model_name_list()
277	plug_dir = models.find_plugins_dir()
278	textdial = TextDialog(None, self, -1, 'Easy Sum/Multi(p1, p2) Editor',
279	model_list, plug_dir)
280	self.put_icon(textdial)
281	textdial.ShowModal()
282	textdial.Destroy()
283
284	def make_new_model(self, event):
285	"""
286	Make new model
287	"""
288	if self.new_model_frame != None:
289	self.new_model_frame.Show(False)
290	self.new_model_frame.Show(True)
291	else:
292	event_id = event.GetId()
293	dir_path = models.find_plugins_dir()
294	title = "New Custom Model Function"
295	self.new_model_frame = EditorWindow(parent=self, base=self,
296	path=dir_path, title=title)
297	self.put_icon(self.new_model_frame)
298	self.new_model_frame.Show(True)
299
300	def update_custom_combo(self):
301	"""
302	Update custom model list in the fitpage combo box
303	"""
304	custom_model = 'Customized Models'
305	try:
306	# Update edit menus
307	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
308	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
309	temp = self.fit_panel.reset_pmodel_list()
310	if temp:
311	# Set the new custom model list for all fit pages
312	for uid, page in self.fit_panel.opened_pages.iteritems():
313	if hasattr(page, "formfactorbox"):
314	page.model_list_box = temp
315	current_val = page.formfactorbox.GetLabel()
316	#if page.plugin_rbutton.GetValue():
317	mod_cat = page.categorybox.GetStringSelection()
318	if mod_cat == custom_model:
319	#pos = page.formfactorbox.GetSelection()
320	page._show_combox_helper()
321	new_val = page.formfactorbox.GetLabel()
322	if current_val != new_val and new_val != '':
323	page.formfactorbox.SetLabel(new_val)
324	else:
325	page.formfactorbox.SetLabel(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	wx_id = wx.NewId()
335	#new_model_menu = wx.Menu()
336	self.edit_model_menu.Append(wx_id, 'New',
337	'Add a new model function')
338	wx.EVT_MENU(owner, wx_id, self.make_new_model)
339	wx_id = wx.NewId()
340	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
341	'Sum of two model functions')
342	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
343	e_id = wx.NewId()
344	self.edit_menu = wx.Menu()
345	self.edit_model_menu.AppendMenu(e_id,
346	'Advanced', self.edit_menu)
347	self.set_edit_menu_helper(owner, self.edit_custom_model)
348
349	d_id = wx.NewId()
350	self.delete_menu = wx.Menu()
351	self.edit_model_menu.AppendMenu(d_id,
352	'Delete', self.delete_menu)
353	self.set_edit_menu_helper(owner, self.delete_custom_model)
354
355	def set_edit_menu_helper(self, owner=None, menu=None):
356	"""
357	help for setting list of the edit model menu labels
358	"""
359	if menu == None:
360	menu = self.edit_custom_model
361	list_fnames = os.listdir(models.find_plugins_dir())
362	list_fnames.sort()
363	for f_item in list_fnames:
364	name = os.path.basename(f_item)
365	toks = os.path.splitext(name)
366	if toks[-1] == '.py' and not toks[0] == '__init__':
367	if menu == self.edit_custom_model:
368	if toks[0] == 'easy_sum_of_p1_p2':
369	continue
370	submenu = self.edit_menu
371	else:
372	submenu = self.delete_menu
373	has_file = False
374	for item in submenu.GetMenuItems():
375	if name == submenu.GetLabel(item.GetId()):
376	has_file = True
377	if not has_file:
378	wx_id = wx.NewId()
379	submenu.Append(wx_id, name)
380	wx.EVT_MENU(owner, wx_id, menu)
381	has_file = False
382
383	def put_icon(self, frame):
384	"""
385	Put icon in the frame title bar
386	"""
387	if hasattr(frame, "IsIconized"):
388	if not frame.IsIconized():
389	try:
390	icon = self.parent.GetIcon()
391	frame.SetIcon(icon)
392	except:
393	pass
394
395	def on_add_sim_page(self, event):
396	"""
397	Create a page to access simultaneous fit option
398	"""
399	event_id = event.GetId()
400	caption = "Const & Simul Fit"
401	page = self.sim_page
402	if event_id == self.id_batchfit:
403	caption = "Combined Batch"
404	page = self.batch_page
405
406	def set_focus_page(page):
407	page.Show(True)
408	page.Refresh()
409	page.SetFocus()
410	#self.parent._mgr.Update()
411	msg = "%s already opened\n" % str(page.window_caption)
412	wx.PostEvent(self.parent, StatusEvent(status=msg))
413
414	if page != None:
415	return set_focus_page(page)
416	if caption == "Const & Simul Fit":
417	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
418	else:
419	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
420
421	def get_context_menu(self, plotpanel=None):
422	"""
423	Get the context menu items available for P(r).them allow fitting option
424	for Data2D and Data1D only.
425
426	:param graph: the Graph object to which we attach the context menu
427
428	:return: a list of menu items with call-back function
429
430	:note: if Data1D was generated from Theory1D
431	the fitting option is not allowed
432
433	"""
434	self.plot_panel = plotpanel
435	graph = plotpanel.graph
436	fit_option = "Select data for fitting"
437	fit_hint = "Dialog with fitting parameters "
438
439	if graph.selected_plottable not in plotpanel.plots:
440	return []
441	item = plotpanel.plots[graph.selected_plottable]
442	if item.__class__.__name__ is "Data2D":
443	if hasattr(item, "is_data"):
444	if item.is_data:
445	return [[fit_option, fit_hint, self._onSelect]]
446	else:
447	return []
448	return [[fit_option, fit_hint, self._onSelect]]
449	else:
450
451	# if is_data is true , this in an actual data loaded
452	#else it is a data created from a theory model
453	if hasattr(item, "is_data"):
454	if item.is_data:
455	return [[fit_option, fit_hint, self._onSelect]]
456	else:
457	return []
458	return [[fit_option, fit_hint, self._onSelect]]
459	return []
460
461	def get_panels(self, parent):
462	"""
463	Create and return a list of panel objects
464	"""
465	self.parent = parent
466	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
467	# Creation of the fit panel
468	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
469	self.fit_panel = FitPanel(parent=self.frame, manager=self)
470	self.frame.set_panel(self.fit_panel)
471	self._frame_set_helper()
472	self.on_add_new_page(event=None)
473	#Set the manager for the main panel
474	self.fit_panel.set_manager(self)
475	# List of windows used for the perspective
476	self.perspective = []
477	self.perspective.append(self.fit_panel.window_name)
478
479	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
480	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
481	self.perspective.append(self.result_panel.window_name)
482
483	#index number to create random model name
484	self.index_model = 0
485	self.index_theory = 0
486	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
487	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
488	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
489	#Create reader when fitting panel are created
490	self.state_reader = Reader(self.set_state)
491	#append that reader to list of available reader
492	loader = Loader()
493	loader.associate_file_reader(".fitv", self.state_reader)
494	#Send the fitting panel to guiframe
495	self.mypanels.append(self.fit_panel)
496	self.mypanels.append(self.result_panel)
497	return self.mypanels
498
499	def clear_panel(self):
500	"""
501	"""
502	self.fit_panel.clear_panel()
503
504	def delete_data(self, data):
505	"""
506	delete the given data from panel
507	"""
508	self.fit_panel.delete_data(data)
509
510	def set_data(self, data_list=None):
511	"""
512	receive a list of data to fit
513	"""
514	if data_list is None:
515	data_list = []
516	selected_data_list = []
517	if self.batch_on:
518	self.add_fit_page(data=data_list)
519	else:
520	if len(data_list) > MAX_NBR_DATA:
521	from fitting_widgets import DataDialog
522	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
523	if dlg.ShowModal() == wx.ID_OK:
524	selected_data_list = dlg.get_data()
525	dlg.Destroy()
526
527	else:
528	selected_data_list = data_list
529	try:
530	group_id = wx.NewId()
531	for data in selected_data_list:
532	if data is not None:
533	# 2D has no same group_id
534	if data.__class__.__name__ == 'Data2D':
535	group_id = wx.NewId()
536	data.group_id = group_id
537	if group_id not in data.list_group_id:
538	data.list_group_id.append(group_id)
539	self.add_fit_page(data=[data])
540	except:
541	msg = "Fitting set_data: " + str(sys.exc_value)
542	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
543
544	def set_theory(self, theory_list=None):
545	"""
546	"""
547	#set the model state for a given theory_state:
548	for item in theory_list:
549	try:
550	_, theory_state = item
551	self.fit_panel.set_model_state(theory_state)
552	except:
553	msg = "Fitting: cannot deal with the theory received"
554	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
555	wx.PostEvent(self.parent,
556	StatusEvent(status=msg, info="error"))
557
558	def set_state(self, state=None, datainfo=None, format=None):
559	"""
560	Call-back method for the fit page state reader.
561	This method is called when a .fitv/.svs file is loaded.
562
563	: param state: PageState object
564	: param datainfo: data
565	"""
566	#state = self.state_reader.get_state()
567	if state != None:
568	state = state.clone()
569	# store fitting state in temp_state
570	self.temp_state.append(state)
571	else:
572	self.temp_state = []
573	# index to start with for a new set_state
574	self.state_index = 0
575	# state file format
576	self.sfile_ext = format
577
578	self.on_set_state_helper(event=None)
579
580	def on_set_state_helper(self, event=None):
581	"""
582	Set_state_helper. This actually sets state
583	after plotting data from state file.
584
585	: event: FitStateUpdateEvent called
586	by dataloader.plot_data from guiframe
587	"""
588	if len(self.temp_state) == 0:
589	if self.state_index == 0 and len(self.mypanels) <= 0 \
590	and self.sfile_ext == '.svs':
591	self.temp_state = []
592	self.state_index = 0
593	return
594
595	try:
596	# Load fitting state
597	state = self.temp_state[self.state_index]
598	#panel state should have model selection to set_state
599	if state.formfactorcombobox != None:
600	#set state
601	data = self.parent.create_gui_data(state.data)
602	data.group_id = state.data.group_id
603	self.parent.add_data(data_list={data.id: data})
604	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
605	title=data.title))
606	#need to be fix later make sure we are sendind guiframe.data
607	#to panel
608	state.data = data
609	page = self.fit_panel.set_state(state)
610	else:
611	#just set data because set_state won't work
612	data = self.parent.create_gui_data(state.data)
613	data.group_id = state.data.group_id
614	self.parent.add_data(data_list={data.id: data})
615	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
616	title=data.title))
617	page = self.add_fit_page([data])
618	caption = page.window_caption
619	self.store_data(uid=page.uid, data_list=page.get_data_list(),
620	caption=caption)
621	self.mypanels.append(page)
622
623	# get ready for the next set_state
624	self.state_index += 1
625
626	#reset state variables to default when all set_state is finished.
627	if len(self.temp_state) == self.state_index:
628
629	self.temp_state = []
630	#self.state_index = 0
631	# Make sure the user sees the fitting panel after loading
632	#self.parent.set_perspective(self.perspective)
633	self.on_perspective(event=None)
634	except:
635	self.state_index = 0
636	self.temp_state = []
637	raise
638
639	def set_param2fit(self, uid, param2fit):
640	"""
641	Set the list of param names to fit for fitprobelm
642	"""
643	self.page_finder[uid].set_param2fit(param2fit)
644
645	def set_graph_id(self, uid, graph_id):
646	"""
647	Set graph_id for fitprobelm
648	"""
649	self.page_finder[uid].set_graph_id(graph_id)
650
651	def get_graph_id(self, uid):
652	"""
653	Set graph_id for fitprobelm
654	"""
655	return self.page_finder[uid].get_graph_id()
656
657	def save_fit_state(self, filepath, fitstate):
658	"""
659	save fit page state into file
660	"""
661	self.state_reader.write(filename=filepath, fitstate=fitstate)
662
663	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
664	"""
665	Set the fit weights of a given page for all
666	its data by default. If fid is provide then set the range
667	only for the data with fid as id
668	:param uid: id corresponding to a fit page
669	:param fid: id corresponding to a fit problem (data, model)
670	:param weight: current dy data
671	"""
672	# If we are not dealing with a specific fit problem, then
673	# there is no point setting the weights.
674	if fid is None:
675	return
676	if uid in self.page_finder.keys():
677	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
678
679	def set_fit_range(self, uid, qmin, qmax, fid=None):
680	"""
681	Set the fitting range of a given page for all
682	its data by default. If fid is provide then set the range
683	only for the data with fid as id
684	:param uid: id corresponding to a fit page
685	:param fid: id corresponding to a fit problem (data, model)
686	:param qmin: minimum value of the fit range
687	:param qmax: maximum value of the fit range
688	"""
689	if uid in self.page_finder.keys():
690	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
691
692	def schedule_for_fit(self, value=0, uid=None):
693	"""
694	Set the fit problem field to 0 or 1 to schedule that problem to fit.
695	Schedule the specified fitproblem or get the fit problem related to
696	the current page and set value.
697	:param value: integer 0 or 1
698	:param uid: the id related to a page contaning fitting information
699	"""
700	if uid in self.page_finder.keys():
701	self.page_finder[uid].schedule_tofit(value)
702
703	def get_page_finder(self):
704	"""
705	return self.page_finder used also by simfitpage.py
706	"""
707	return self.page_finder
708
709	def set_page_finder(self, modelname, names, values):
710	"""
711	Used by simfitpage.py to reset a parameter given the string constrainst.
712
713	:param modelname: the name ot the model for with the parameter
714	has to reset
715	:param value: can be a string in this case.
716	:param names: the paramter name
717	"""
718	sim_page_id = self.sim_page.uid
719	for uid, value in self.page_finder.iteritems():
720	if uid != sim_page_id and uid != self.batch_page.uid:
721	model_list = value.get_model()
722	model = model_list[0]
723	if model.name == modelname:
724	value.set_model_param(names, values)
725	break
726
727	def split_string(self, item):
728	"""
729	receive a word containing dot and split it. used to split parameterset
730	name into model name and parameter name example: ::
731
732	paramaterset (item) = M1.A
733	Will return model_name = M1 , parameter name = A
734
735	"""
736	if item.find(".") >= 0:
737	param_names = re.split("\.", item)
738	model_name = param_names[0]
739	##Assume max len is 3; eg., M0.radius.width
740	if len(param_names) == 3:
741	param_name = param_names[1] + "." + param_names[2]
742	else:
743	param_name = param_names[1]
744	return model_name, param_name
745
746	def on_bumps_options(self, event=None):
747	"""
748	Open the bumps options panel.
749	"""
750	from bumps.gui.fit_dialog import OpenFitOptions
751	OpenFitOptions()
752
753	def on_fit_results(self, event=None):
754	"""
755	Make the Fit Results panel visible.
756	"""
757	self.result_frame.Show()
758	self.result_frame.Raise()
759
760	def stop_fit(self, uid):
761	"""
762	Stop the fit
763	"""
764	if uid in self.fit_thread_list.keys():
765	calc_fit = self.fit_thread_list[uid]
766	if calc_fit is not None and calc_fit.isrunning():
767	calc_fit.stop()
768	msg = "Fit stop!"
769	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
770	del self.fit_thread_list[uid]
771	#set the fit button label of page when fit stop is trigger from
772	#simultaneous fit pane
773	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
774	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
775	if sim_flag or batch_flag:
776	for uid, value in self.page_finder.iteritems():
777	if value.get_scheduled() == 1:
778	if uid in self.fit_panel.opened_pages.keys():
779	panel = self.fit_panel.opened_pages[uid]
780	panel._on_fit_complete()
781
782	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
783	enable_smearer=False):
784	"""
785	Get a smear object and store it to a fit problem of fid as id. If proper
786	flag is enable , will plot the theory with smearing information.
787
788	:param smearer: smear object to allow smearing data of id fid
789	:param enable_smearer: Define whether or not all (data, model) contained
790	in the structure of id uid will be smeared before fitting.
791	:param qmin: the maximum value of the theory plotting range
792	:param qmax: the maximum value of the theory plotting range
793	:param draw: Determine if the theory needs to be plot
794	"""
795	if uid not in self.page_finder.keys():
796	return
797	self.page_finder[uid].enable_smearing(flag=enable_smearer)
798	self.page_finder[uid].set_smearer(smearer, fid=fid)
799	if draw:
800	## draw model 1D with smeared data
801	data = self.page_finder[uid].get_fit_data(fid=fid)
802	if data is None:
803	msg = "set_mearer requires at least data.\n"
804	msg += "Got data = %s .\n" % str(data)
805	return
806	#raise ValueError, msg
807	model = self.page_finder[uid].get_model(fid=fid)
808	if model is None:
809	return
810	enable1D = issubclass(data.__class__, Data1D)
811	enable2D = issubclass(data.__class__, Data2D)
812	## if user has already selected a model to plot
813	## redraw the model with data smeared
814	smear = self.page_finder[uid].get_smearer(fid=fid)
815
816	# compute weight for the current data
817	weight = self.page_finder[uid].get_weight(fid=fid)
818
819	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
820	enable1D=enable1D, enable2D=enable2D,
821	qmin=qmin, qmax=qmax, weight=weight)
822	self._mac_sleep(0.2)
823
824	def _mac_sleep(self, sec=0.2):
825	"""
826	Give sleep to MAC
827	"""
828	if ON_MAC:
829	time.sleep(sec)
830
831	def draw_model(self, model, page_id, data=None, smearer=None,
832	enable1D=True, enable2D=False,
833	state=None,
834	fid=None,
835	toggle_mode_on=False,
836	qmin=None, qmax=None,
837	update_chisqr=True, weight=None, source='model'):
838	"""
839	Draw model.
840
841	:param model: the model to draw
842	:param name: the name of the model to draw
843	:param data: the data on which the model is based to be drawn
844	:param description: model's description
845	:param enable1D: if true enable drawing model 1D
846	:param enable2D: if true enable drawing model 2D
847	:param qmin: Range's minimum value to draw model
848	:param qmax: Range's maximum value to draw model
849	:param qstep: number of step to divide the x and y-axis
850	:param update_chisqr: update chisqr [bool]
851
852	"""
853	#self.weight = weight
854	if issubclass(data.__class__, Data1D) or not enable2D:
855	## draw model 1D with no loaded data
856	self._draw_model1D(model=model,
857	data=data,
858	page_id=page_id,
859	enable1D=enable1D,
860	smearer=smearer,
861	qmin=qmin,
862	qmax=qmax,
863	fid=fid,
864	weight=weight,
865	toggle_mode_on=toggle_mode_on,
866	state=state,
867	update_chisqr=update_chisqr,
868	source=source)
869	else:
870	## draw model 2D with no initial data
871	self._draw_model2D(model=model,
872	page_id=page_id,
873	data=data,
874	enable2D=enable2D,
875	smearer=smearer,
876	qmin=qmin,
877	qmax=qmax,
878	fid=fid,
879	weight=weight,
880	state=state,
881	toggle_mode_on=toggle_mode_on,
882	update_chisqr=update_chisqr,
883	source=source)
884
885	def onFit(self, uid):
886	"""
887	Get series of data, model, associates parameters and range and send then
888	to series of fitters. Fit data and model, display result to
889	corresponding panels.
890	:param uid: id related to the panel currently calling this fit function.
891	"""
892	if uid is None: raise RuntimeError("no page to fit") # Should never happen
893
894	sim_page_uid = getattr(self.sim_page, 'uid', None)
895	batch_page_uid = getattr(self.batch_page, 'uid', None)
896
897	if uid == sim_page_uid:
898	fit_type = 'simultaneous'
899	elif uid == batch_page_uid:
900	fit_type = 'combined_batch'
901	else:
902	fit_type = 'single'
903
904	fitter_list = []
905	sim_fitter = None
906	if fit_type == 'simultaneous':
907	# for simultaneous fitting only one fitter is needed
908	sim_fitter = Fit()
909	sim_fitter.fitter_id = self.sim_page.uid
910	fitter_list.append(sim_fitter)
911
912	self.current_pg = None
913	list_page_id = []
914	fit_id = 0
915	for page_id, page_info in self.page_finder.iteritems():
916	# For simulfit (uid give with None), do for-loop
917	# if uid is specified (singlefit), do it only on the page.
918	if page_id in (sim_page_uid, batch_page_uid): continue
919	if fit_type == "single" and page_id != uid: continue
920
921	try:
922	if page_info.get_scheduled() == 1:
923	page_info.nbr_residuals_computed = 0
924	page = self.fit_panel.get_page_by_id(page_id)
925	self.set_fit_weight(uid=page.uid,
926	flag=page.get_weight_flag(),
927	is2d=page._is_2D())
928	if not page.param_toFit:
929	msg = "No fitting parameters for %s" % page.window_caption
930	wx.PostEvent(page.parent.parent,
931	StatusEvent(status=msg, info="error",
932	type="stop"))
933	return False
934	if not page._update_paramv_on_fit():
935	msg = "Fitting range or parameter values are"
936	msg += " invalid in %s" % \
937	page.window_caption
938	wx.PostEvent(page.parent.parent,
939	StatusEvent(status=msg, info="error",
940	type="stop"))
941	return False
942
943	pars = [str(element[1]) for element in page.param_toFit]
944	fitproblem_list = page_info.values()
945	for fitproblem in fitproblem_list:
946	if sim_fitter is None:
947	fitter = Fit()
948	fitter.fitter_id = page_id
949	fitter_list.append(fitter)
950	else:
951	fitter = sim_fitter
952	self._add_problem_to_fit(fitproblem=fitproblem,
953	pars=pars,
954	fitter=fitter,
955	fit_id=fit_id)
956	fit_id += 1
957	list_page_id.append(page_id)
958	page_info.clear_model_param()
959	except KeyboardInterrupt:
960	msg = "Fitting terminated"
961	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
962	type="stop"))
963	return True
964	except:
965	raise
966	msg = "Fitting error: %s" % str(sys.exc_value)
967	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
968	type="stop"))
969	return False
970	## If a thread is already started, stop it
971	#if self.calc_fit!= None and self.calc_fit.isrunning():
972	# self.calc_fit.stop()
973	msg = "Fitting is in progress..."
974	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
975
976	#Handler used to display fit message
977	handler = ConsoleUpdate(parent=self.parent,
978	manager=self,
979	improvement_delta=0.1)
980	self._mac_sleep(0.2)
981
982	# batch fit
983	batch_inputs = {}
984	batch_outputs = {}
985	if fit_type == "simultaneous":
986	page = self.sim_page
987	elif fit_type == "combined_batch":
988	page = self.batch_page
989	else:
990	page = self.fit_panel.get_page_by_id(uid)
991	if page.batch_on:
992	calc_fit = FitThread(handler=handler,
993	fn=fitter_list,
994	pars=pars,
995	batch_inputs=batch_inputs,
996	batch_outputs=batch_outputs,
997	page_id=list_page_id,
998	completefn=self._batch_fit_complete,
999	reset_flag=self.batch_reset_flag)
1000	else:
1001	## Perform more than 1 fit at the time
1002	calc_fit = FitThread(handler=handler,
1003	fn=fitter_list,
1004	batch_inputs=batch_inputs,
1005	batch_outputs=batch_outputs,
1006	page_id=list_page_id,
1007	updatefn=handler.update_fit,
1008	completefn=self._fit_completed)
1009	#self.fit_thread_list[current_page_id] = calc_fit
1010	self.fit_thread_list[uid] = calc_fit
1011	calc_fit.queue()
1012	calc_fit.ready(2.5)
1013	msg = "Fitting is in progress..."
1014	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
1015
1016	return True
1017
1018	def remove_plot(self, uid, fid=None, theory=False):
1019	"""
1020	remove model plot when a fit page is closed
1021	:param uid: the id related to the fitpage to close
1022	:param fid: the id of the fitproblem(data, model, range,etc)
1023	"""
1024	if uid not in self.page_finder.keys():
1025	return
1026	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
1027	for fitproblem in fitproblemList:
1028	data = fitproblem.get_fit_data()
1029	model = fitproblem.get_model()
1030	plot_id = None
1031	if model is not None:
1032	plot_id = data.id + model.name
1033	if theory:
1034	plot_id = data.id + model.name
1035	group_id = data.group_id
1036	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
1037	group_id=group_id,
1038	action='remove'))
1039
1040	def store_data(self, uid, data_list=None, caption=None):
1041	"""
1042	Recieve a list of data and store them ans well as a caption of
1043	the fit page where they come from.
1044	:param uid: if related to a fit page
1045	:param data_list: list of data to fit
1046	:param caption: caption of the window related to these data
1047	"""
1048	if data_list is None:
1049	data_list = []
1050
1051	self.page_finder[uid].set_fit_data(data=data_list)
1052	if caption is not None:
1053	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1054
1055	def on_add_new_page(self, event=None):
1056	"""
1057	ask fit panel to create a new empty page
1058	"""
1059	try:
1060	page = self.fit_panel.add_empty_page()
1061	# add data associated to the page created
1062	if page != None:
1063	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
1064	info="info"))
1065	else:
1066	msg = "Page was already Created"
1067	wx.PostEvent(self.parent, StatusEvent(status=msg,
1068	info="warning"))
1069	except:
1070	msg = "Creating Fit page: %s" % sys.exc_value
1071	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
1072
1073	def add_fit_page(self, data):
1074	"""
1075	given a data, ask to the fitting panel to create a new fitting page,
1076	get this page and store it into the page_finder of this plug-in
1077	:param data: is a list of data
1078	"""
1079	page = self.fit_panel.set_data(data)
1080	# page could be None when loading state files
1081	if page == None:
1082	return page
1083	#append Data1D to the panel containing its theory
1084	#if theory already plotted
1085	if page.uid in self.page_finder:
1086	data = page.get_data()
1087	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
1088	if issubclass(data.__class__, Data2D):
1089	data.group_id = wx.NewId()
1090	if theory_data is not None:
1091	group_id = str(page.uid) + " Model1D"
1092	wx.PostEvent(self.parent,
1093	NewPlotEvent(group_id=group_id,
1094	action="delete"))
1095	self.parent.update_data(prev_data=theory_data,
1096	new_data=data)
1097	else:
1098	if theory_data is not None:
1099	group_id = str(page.uid) + " Model2D"
1100	data.group_id = theory_data.group_id
1101	wx.PostEvent(self.parent,
1102	NewPlotEvent(group_id=group_id,
1103	action="delete"))
1104	self.parent.update_data(prev_data=theory_data,
1105	new_data=data)
1106	self.store_data(uid=page.uid, data_list=page.get_data_list(),
1107	caption=page.window_caption)
1108	if self.sim_page is not None and not self.batch_on:
1109	self.sim_page.draw_page()
1110	if self.batch_page is not None and self.batch_on:
1111	self.batch_page.draw_page()
1112
1113	return page
1114
1115	def _onEVT_SLICER_PANEL(self, event):
1116	"""
1117	receive and event telling to update a panel with a name starting with
1118	event.panel_name. this method update slicer panel
1119	for a given interactor.
1120
1121	:param event: contains type of slicer , paramaters for updating
1122	the panel and panel_name to find the slicer 's panel concerned.
1123	"""
1124	event.panel_name
1125	for item in self.parent.panels:
1126	name = event.panel_name
1127	if self.parent.panels[item].window_caption.startswith(name):
1128	self.parent.panels[item].set_slicer(event.type, event.params)
1129
1130	#self.parent._mgr.Update()
1131
1132	def _closed_fitpage(self, event):
1133	"""
1134	request fitpanel to close a given page when its unique data is removed
1135	from the plot. close fitpage only when the a loaded data is removed
1136	"""
1137	if event is None or event.data is None:
1138	return
1139	if hasattr(event.data, "is_data"):
1140	if not event.data.is_data or \
1141	event.data.__class__.__name__ == "Data1D":
1142	self.fit_panel.close_page_with_data(event.data)
1143
1144	def _reset_schedule_problem(self, value=0, uid=None):
1145	"""
1146	unschedule or schedule all fitproblem to be fit
1147	"""
1148	# case that uid is not specified
1149	if uid == None:
1150	for page_id in self.page_finder.keys():
1151	self.page_finder[page_id].schedule_tofit(value)
1152	# when uid is given
1153	else:
1154	if uid in self.page_finder.keys():
1155	self.page_finder[uid].schedule_tofit(value)
1156
1157	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
1158	"""
1159	Create and set fitter with series of data and model
1160	"""
1161	data = fitproblem.get_fit_data()
1162	model = fitproblem.get_model()
1163	smearer = fitproblem.get_smearer()
1164	qmin, qmax = fitproblem.get_range()
1165
1166	#Extra list of parameters and their constraints
1167	listOfConstraint = []
1168	param = fitproblem.get_model_param()
1169	if len(param) > 0:
1170	for item in param:
1171	## check if constraint
1172	if item[0] != None and item[1] != None:
1173	listOfConstraint.append((item[0], item[1]))
1174	new_model = model
1175	fitter.set_model(new_model, fit_id, pars, data=data,
1176	constraints=listOfConstraint)
1177	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
1178	qmax=qmax)
1179	fitter.select_problem_for_fit(id=fit_id, value=1)
1180
1181	def _onSelect(self, event):
1182	"""
1183	when Select data to fit a new page is created .Its reference is
1184	added to self.page_finder
1185	"""
1186	panel = self.plot_panel
1187	if panel == None:
1188	raise ValueError, "Fitting:_onSelect: NonType panel"
1189	Plugin.on_perspective(self, event=event)
1190	self.select_data(panel)
1191
1192	def select_data(self, panel):
1193	"""
1194	"""
1195	for plottable in panel.graph.plottables:
1196	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
1197	data_id = panel.graph.selected_plottable
1198	if plottable == panel.plots[data_id]:
1199	data = plottable
1200	self.add_fit_page(data=[data])
1201	return
1202	else:
1203	data = plottable
1204	self.add_fit_page(data=[data])
1205
1206	def update_fit(self, result=None, msg=""):
1207	"""
1208	"""
1209	print "update_fit result", result
1210
1211	def _batch_fit_complete(self, result, pars, page_id,
1212	batch_outputs, batch_inputs, elapsed=None):
1213	"""
1214	Display fit result in batch
1215	:param result: list of objects received from fitters
1216	:param pars: list of fitted parameters names
1217	:param page_id: list of page ids which called fit function
1218	:param elapsed: time spent at the fitting level
1219	"""
1220	self._mac_sleep(0.2)
1221	uid = page_id[0]
1222	if uid in self.fit_thread_list.keys():
1223	del self.fit_thread_list[uid]
1224
1225	wx.CallAfter(self._update_fit_button, page_id)
1226	t1 = time.time()
1227	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1228	msg = "Fit completed on %s \n" % str_time
1229	msg += "Duration time: %s s.\n" % str(elapsed)
1230	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
1231	type="stop"))
1232
1233	if batch_outputs is None:
1234	batch_outputs = {}
1235
1236	# format batch_outputs
1237	batch_outputs["Chi2"] = []
1238	#Don't like these loops
1239	# Need to create dictionary of all fitted parameters
1240	# since the number of parameters can differ between each fit result
1241	for list_res in result:
1242	for res in list_res:
1243	model, data = res.inputs[0]
1244	if model is not None and hasattr(model, "model"):
1245	model = model.model
1246	#get all fittable parameters of the current model
1247	for param in model.getParamList():
1248	if param not in batch_outputs.keys():
1249	batch_outputs[param] = []
1250	for param in model.getDispParamList():
1251	if not model.is_fittable(param) and \
1252	param in batch_outputs.keys():
1253	del batch_outputs[param]
1254	# Add fitted parameters and their error
1255	for param in res.param_list:
1256	if param not in batch_outputs.keys():
1257	batch_outputs[param] = []
1258	err_param = "error on %s" % str(param)
1259	if err_param not in batch_inputs.keys():
1260	batch_inputs[err_param] = []
1261	msg = ""
1262	for list_res in result:
1263	for res in list_res:
1264	pid = res.fitter_id
1265	model, data = res.inputs[0]
1266	correct_result = False
1267	if model is not None and hasattr(model, "model"):
1268	model = model.model
1269	if data is not None and hasattr(data, "sas_data"):
1270	data = data.sas_data
1271
1272	is_data2d = issubclass(data.__class__, Data2D)
1273	#check consistency of arrays
1274	if not is_data2d:
1275	if len(res.theory) == len(res.index[res.index]) and \
1276	len(res.index) == len(data.y):
1277	correct_result = True
1278	else:
1279	copy_data = deepcopy(data)
1280	new_theory = copy_data.data
1281	new_theory[res.index] = res.theory
1282	new_theory[res.index == False] = numpy.nan
1283	correct_result = True
1284	#get all fittable parameters of the current model
1285	param_list = model.getParamList()
1286	for param in model.getDispParamList():
1287	if not model.is_fittable(param) and \
1288	param in param_list:
1289	param_list.remove(param)
1290	if not correct_result or res.fitness is None or \
1291	not numpy.isfinite(res.fitness) or \
1292	numpy.any(res.pvec == None) or not \
1293	numpy.all(numpy.isfinite(res.pvec)):
1294	data_name = str(None)
1295	if data is not None:
1296	data_name = str(data.name)
1297	model_name = str(None)
1298	if model is not None:
1299	model_name = str(model.name)
1300	msg += "Data %s and Model %s did not fit.\n" % (data_name,
1301	model_name)
1302	ERROR = numpy.NAN
1303	cell = BatchCell()
1304	cell.label = res.fitness
1305	cell.value = res.fitness
1306	batch_outputs["Chi2"].append(ERROR)
1307	for param in param_list:
1308	# save value of fixed parameters
1309	if param not in res.param_list:
1310	batch_outputs[str(param)].append(ERROR)
1311	else:
1312	#save only fitted values
1313	batch_outputs[param].append(ERROR)
1314	batch_inputs["error on %s" % str(param)].append(ERROR)
1315	else:
1316	# TODO: Why sometimes res.pvec comes with numpy.float64?
1317	# probably from scipy lmfit
1318	if res.pvec.__class__ == numpy.float64:
1319	res.pvec = [res.pvec]
1320
1321	cell = BatchCell()
1322	cell.label = res.fitness
1323	cell.value = res.fitness
1324	batch_outputs["Chi2"].append(cell)
1325	# add parameters to batch_results
1326	for param in param_list:
1327	# save value of fixed parameters
1328	if param not in res.param_list:
1329	batch_outputs[str(param)].append(model.getParam(param))
1330	else:
1331	index = res.param_list.index(param)
1332	#save only fitted values
1333	batch_outputs[param].append(res.pvec[index])
1334	if res.stderr is not None and \
1335	len(res.stderr) == len(res.param_list):
1336	item = res.stderr[index]
1337	batch_inputs["error on %s" % param].append(item)
1338	else:
1339	batch_inputs["error on %s" % param].append('-')
1340	model.setParam(param, res.pvec[index])
1341	#fill the batch result with emtpy value if not in the current
1342	#model
1343	EMPTY = "-"
1344	for key in batch_outputs.keys():
1345	if key not in param_list and key not in ["Chi2", "Data"]:
1346	batch_outputs[key].append(EMPTY)
1347
1348	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
1349	batch_outputs=batch_outputs)
1350
1351	cpage = self.fit_panel.get_page_by_id(pid)
1352	cpage._on_fit_complete()
1353	self.page_finder[pid][data.id].set_result(res)
1354	fitproblem = self.page_finder[pid][data.id]
1355	qmin, qmax = fitproblem.get_range()
1356	plot_result = False
1357	if correct_result:
1358	if not is_data2d:
1359	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
1360	elapsed=None,
1361	index=res.index, model=model,
1362	weight=None, fid=data.id,
1363	toggle_mode_on=False, state=None,
1364	data=data, update_chisqr=False,
1365	source='fit', plot_result=plot_result)
1366	else:
1367	self._complete2D(image=new_theory, data=data,
1368	model=model,
1369	page_id=pid, elapsed=None,
1370	index=res.index,
1371	qmin=qmin,
1372	qmax=qmax, fid=data.id, weight=None,
1373	toggle_mode_on=False, state=None,
1374	update_chisqr=False,
1375	source='fit', plot_result=plot_result)
1376	self.on_set_batch_result(page_id=pid,
1377	fid=data.id,
1378	batch_outputs=batch_outputs,
1379	batch_inputs=batch_inputs)
1380
1381	wx.PostEvent(self.parent, StatusEvent(status=msg, error="info",
1382	type="stop"))
1383	# Remove parameters that are not shown
1384	cpage = self.fit_panel.get_page_by_id(uid)
1385	tbatch_outputs = {}
1386	shownkeystr = cpage.get_copy_params()
1387	for key in batch_outputs.keys():
1388	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
1389	tbatch_outputs[key] = batch_outputs[key]
1390
1391	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
1392	batch_inputs, self.sub_menu)
1393
1394	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
1395	"""
1396	"""
1397	pid = page_id
1398	if fid not in self.page_finder[pid]:
1399	return
1400	fitproblem = self.page_finder[pid][fid]
1401	index = self.page_finder[pid].nbr_residuals_computed - 1
1402	residuals = fitproblem.get_residuals()
1403	theory_data = fitproblem.get_theory_data()
1404	data = fitproblem.get_fit_data()
1405	model = fitproblem.get_model()
1406	#fill batch result information
1407	if "Data" not in batch_outputs.keys():
1408	batch_outputs["Data"] = []
1409	from sas.guiframe.data_processor import BatchCell
1410	cell = BatchCell()
1411	cell.label = data.name
1412	cell.value = index
1413
1414	if theory_data != None:
1415	#Suucessful fit
1416	theory_data.id = wx.NewId()
1417	theory_data.name = model.name + "[%s]" % str(data.name)
1418	if issubclass(theory_data.__class__, Data2D):
1419	group_id = wx.NewId()
1420	theory_data.group_id = group_id
1421	if group_id not in theory_data.list_group_id:
1422	theory_data.list_group_id.append(group_id)
1423
1424	try:
1425	# associate residuals plot
1426	if issubclass(residuals.__class__, Data2D):
1427	group_id = wx.NewId()
1428	residuals.group_id = group_id
1429	if group_id not in residuals.list_group_id:
1430	residuals.list_group_id.append(group_id)
1431	batch_outputs["Chi2"][index].object = [residuals]
1432	except:
1433	pass
1434
1435	cell.object = [data, theory_data]
1436	batch_outputs["Data"].append(cell)
1437	for key, value in data.meta_data.iteritems():
1438	if key not in batch_inputs.keys():
1439	batch_inputs[key] = []
1440	#if key.lower().strip() != "loader":
1441	batch_inputs[key].append(value)
1442	param = "temperature"
1443	if hasattr(data.sample, param):
1444	if param not in batch_inputs.keys():
1445	batch_inputs[param] = []
1446	batch_inputs[param].append(data.sample.temperature)
1447
1448	def _fit_completed(self, result, page_id, batch_outputs,
1449	batch_inputs=None, pars=None, elapsed=None):
1450	"""
1451	Display result of the fit on related panel(s).
1452	:param result: list of object generated when fit ends
1453	:param pars: list of names of parameters fitted
1454	:param page_id: list of page ids which called fit function
1455	:param elapsed: time spent at the fitting level
1456	"""
1457	t1 = time.time()
1458	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
1459	msg = "Fit completed on %s \n" % str_time
1460	msg += "Duration time: %s s.\n" % str(elapsed)
1461	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
1462	type="stop"))
1463	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
1464	wx.CallAfter(self._update_fit_button, page_id)
1465	result = result[0]
1466	self.fit_thread_list = {}
1467	if page_id is None:
1468	page_id = []
1469	## fit more than 1 model at the same time
1470	self._mac_sleep(0.2)
1471	try:
1472	index = 0
1473	for uid in page_id:
1474	res = result[index]
1475	if res.fitness is None or \
1476	not numpy.isfinite(res.fitness) or \
1477	numpy.any(res.pvec == None) or \
1478	not numpy.all(numpy.isfinite(res.pvec)):
1479	msg = "Fitting did not converge!!!"
1480	wx.PostEvent(self.parent,
1481	StatusEvent(status=msg,
1482	info="warning",
1483	type="stop"))
1484	wx.CallAfter(self._update_fit_button, page_id)
1485	else:
1486	#set the panel when fit result are float not list
1487	if res.pvec.__class__ == numpy.float64:
1488	pvec = [res.pvec]
1489	else:
1490	pvec = res.pvec
1491	if res.stderr.__class__ == numpy.float64:
1492	stderr = [res.stderr]
1493	else:
1494	stderr = res.stderr
1495	cpage = self.fit_panel.get_page_by_id(uid)
1496	# Make sure we got all results
1497	#(CallAfter is important to MAC)
1498	try:
1499	#if res != None:
1500	wx.CallAfter(cpage.onsetValues, res.fitness,
1501	res.param_list,
1502	pvec, stderr)
1503	index += 1
1504	wx.CallAfter(cpage._on_fit_complete)
1505	except KeyboardInterrupt:
1506	msg = "Singular point: Fitting Stoped."
1507	wx.PostEvent(self.parent, StatusEvent(status=msg,
1508	info="info",
1509	type="stop"))
1510	except:
1511	msg = "Singular point: Fitting Error occurred."
1512	wx.PostEvent(self.parent, StatusEvent(status=msg,
1513	info="error",
1514	type="stop"))
1515
1516	except:
1517	msg = ("Fit completed but the following error occurred: %s"
1518	% sys.exc_value)
1519	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
1520	wx.PostEvent(self.parent, StatusEvent(status=msg, info="warning",
1521	type="stop"))
1522
1523	def _update_fit_button(self, page_id):
1524	"""
1525	Update Fit button when fit stopped
1526
1527	: parameter page_id: fitpage where the button is
1528	"""
1529	if page_id.__class__.__name__ != 'list':
1530	page_id = [page_id]
1531	for uid in page_id:
1532	page = self.fit_panel.get_page_by_id(uid)
1533	page._on_fit_complete()
1534
1535	def _on_show_panel(self, event):
1536	"""
1537	"""
1538	pass
1539
1540	def on_reset_batch_flag(self, event):
1541	"""
1542	Set batch_reset_flag
1543	"""
1544	event.Skip()
1545	if self.menu1 == None:
1546	return
1547	menu_item = self.menu1.FindItemById(self.id_reset_flag)
1548	flag = menu_item.IsChecked()
1549	if not flag:
1550	menu_item.Check(False)
1551	self.batch_reset_flag = True
1552	else:
1553	menu_item.Check(True)
1554	self.batch_reset_flag = False
1555
1556	## post a message to status bar
1557	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
1558	wx.PostEvent(self.parent,
1559	StatusEvent(status=msg))
1560
1561
1562	def _on_slicer_event(self, event):
1563	"""
1564	Receive a panel as event and send it to guiframe
1565
1566	:param event: event containing a panel
1567
1568	"""
1569	if event.panel is not None:
1570	self.slicer_panels.append(event.panel)
1571	# Set group ID if available
1572	event_id = self.parent.popup_panel(event.panel)
1573	event.panel.uid = event_id
1574	self.mypanels.append(event.panel)
1575
1576	def _onclearslicer(self, event):
1577	"""
1578	Clear the boxslicer when close the panel associate with this slicer
1579	"""
1580	name = event.GetEventObject().frame.GetTitle()
1581	for panel in self.slicer_panels:
1582	if panel.window_caption == name:
1583
1584	for item in self.parent.panels:
1585	if hasattr(self.parent.panels[item], "uid"):
1586	if self.parent.panels[item].uid == panel.base.uid:
1587	self.parent.panels[item].onClearSlicer(event)
1588	#self.parent._mgr.Update()
1589	break
1590	break
1591
1592	def _on_model_panel(self, evt):
1593	"""
1594	react to model selection on any combo box or model menu.plot the model
1595
1596	:param evt: wx.combobox event
1597
1598	"""
1599	model = evt.model
1600	uid = evt.uid
1601	qmin = evt.qmin
1602	qmax = evt.qmax
1603	caption = evt.caption
1604	enable_smearer = evt.enable_smearer
1605	if model == None:
1606	return
1607	if uid not in self.page_finder.keys():
1608	return
1609	# save the name containing the data name with the appropriate model
1610	self.page_finder[uid].set_model(model)
1611	self.page_finder[uid].enable_smearing(enable_smearer)
1612	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
1613	self.page_finder[uid].set_fit_tab_caption(caption=caption)
1614	if self.sim_page is not None and not self.batch_on:
1615	self.sim_page.draw_page()
1616	if self.batch_page is not None and self.batch_on:
1617	self.batch_page.draw_page()
1618
1619	def _update1D(self, x, output):
1620	"""
1621	Update the output of plotting model 1D
1622	"""
1623	msg = "Plot updating ... "
1624	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
1625
1626	def _complete1D(self, x, y, page_id, elapsed, index, model,
1627	weight=None, fid=None,
1628	toggle_mode_on=False, state=None,
1629	data=None, update_chisqr=True,
1630	source='model', plot_result=True):
1631	"""
1632	Complete plotting 1D data
1633	"""
1634	try:
1635	numpy.nan_to_num(y)
1636
1637	new_plot = Data1D(x=x, y=y)
1638	new_plot.is_data = False
1639	new_plot.dy = numpy.zeros(len(y))
1640	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
1641	_yaxis, _yunit = data.get_yaxis()
1642	_xaxis, _xunit = data.get_xaxis()
1643	new_plot.title = data.name
1644
1645	new_plot.group_id = data.group_id
1646	if new_plot.group_id == None:
1647	new_plot.group_id = data.group_id
1648	new_plot.id = str(page_id) + " " + data.name
1649	#if new_plot.id in self.color_dict:
1650	# new_plot.custom_color = self.color_dict[new_plot.id]
1651	#find if this theory was already plotted and replace that plot given
1652	#the same id
1653	self.page_finder[page_id].get_theory_data(fid=data.id)
1654
1655	if data.is_data:
1656	data_name = str(data.name)
1657	else:
1658	data_name = str(model.__class__.__name__)
1659
1660	new_plot.name = model.name + " [" + data_name + "]"
1661	new_plot.xaxis(_xaxis, _xunit)
1662	new_plot.yaxis(_yaxis, _yunit)
1663	self.page_finder[page_id].set_theory_data(data=new_plot,
1664	fid=data.id)
1665	self.parent.update_theory(data_id=data.id, theory=new_plot,
1666	state=state)
1667	current_pg = self.fit_panel.get_page_by_id(page_id)
1668	title = new_plot.title
1669	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
1670	if not batch_on:
1671	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1672	title=str(title)))
1673	elif plot_result:
1674	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
1675	if data.id == top_data_id:
1676	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1677	title=str(title)))
1678	caption = current_pg.window_caption
1679	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
1680
1681	self.page_finder[page_id].set_theory_data(data=new_plot,
1682	fid=data.id)
1683	if toggle_mode_on:
1684	wx.PostEvent(self.parent,
1685	NewPlotEvent(group_id=str(page_id) + " Model2D",
1686	action="Hide"))
1687	else:
1688	if update_chisqr:
1689	wx.PostEvent(current_pg,
1690	Chi2UpdateEvent(output=self._cal_chisqr(
1691	data=data,
1692	fid=fid,
1693	weight=weight,
1694	page_id=page_id,
1695	index=index)))
1696	else:
1697	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1698	index=index, weight=weight)
1699
1700	msg = "Computation completed!"
1701	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1702	except:
1703	raise
1704
1705	def _update2D(self, output, time=None):
1706	"""
1707	Update the output of plotting model
1708	"""
1709	wx.PostEvent(self.parent, StatusEvent(status="Plot \
1710	#updating ... ", type="update"))
1711	#self.ready_fit()
1712
1713	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
1714	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
1715	update_chisqr=True, source='model', plot_result=True):
1716	"""
1717	Complete get the result of modelthread and create model 2D
1718	that can be plot.
1719	"""
1720	numpy.nan_to_num(image)
1721	new_plot = Data2D(image=image, err_image=data.err_data)
1722	new_plot.name = model.name + '2d'
1723	new_plot.title = "Analytical model 2D "
1724	new_plot.id = str(page_id) + " " + data.name
1725	new_plot.group_id = str(page_id) + " Model2D"
1726	new_plot.detector = data.detector
1727	new_plot.source = data.source
1728	new_plot.is_data = False
1729	new_plot.qx_data = data.qx_data
1730	new_plot.qy_data = data.qy_data
1731	new_plot.q_data = data.q_data
1732	new_plot.mask = data.mask
1733	## plot boundaries
1734	new_plot.ymin = data.ymin
1735	new_plot.ymax = data.ymax
1736	new_plot.xmin = data.xmin
1737	new_plot.xmax = data.xmax
1738	title = data.title
1739
1740	new_plot.is_data = False
1741	if data.is_data:
1742	data_name = str(data.name)
1743	else:
1744	data_name = str(model.__class__.__name__) + '2d'
1745
1746	if len(title) > 1:
1747	new_plot.title = "Model2D for %s " % model.name + data_name
1748	new_plot.name = model.name + " [" + \
1749	data_name + "]"
1750	theory_data = deepcopy(new_plot)
1751
1752	self.page_finder[page_id].set_theory_data(data=theory_data,
1753	fid=data.id)
1754	self.parent.update_theory(data_id=data.id,
1755	theory=new_plot,
1756	state=state)
1757	current_pg = self.fit_panel.get_page_by_id(page_id)
1758	title = new_plot.title
1759	if not source == 'fit' and plot_result:
1760	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
1761	title=title))
1762	if toggle_mode_on:
1763	wx.PostEvent(self.parent,
1764	NewPlotEvent(group_id=str(page_id) + " Model1D",
1765	action="Hide"))
1766	else:
1767	# Chisqr in fitpage
1768	if update_chisqr:
1769	wx.PostEvent(current_pg,
1770	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
1771	weight=weight,
1772	fid=fid,
1773	page_id=page_id,
1774	index=index)))
1775	else:
1776	self._plot_residuals(page_id=page_id, data=data, fid=fid,
1777	index=index, weight=weight)
1778	msg = "Computation completed!"
1779	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
1780
1781	def _draw_model2D(self, model, page_id, qmin,
1782	qmax,
1783	data=None, smearer=None,
1784	description=None, enable2D=False,
1785	state=None,
1786	fid=None,
1787	weight=None,
1788	toggle_mode_on=False,
1789	update_chisqr=True, source='model'):
1790	"""
1791	draw model in 2D
1792
1793	:param model: instance of the model to draw
1794	:param description: the description of the model
1795	:param enable2D: when True allows to draw model 2D
1796	:param qmin: the minimum value to draw model 2D
1797	:param qmax: the maximum value to draw model 2D
1798	:param qstep: the number of division of Qx and Qy of the model to draw
1799
1800	"""
1801	if not enable2D:
1802	return None
1803	try:
1804	from model_thread import Calc2D
1805	## If a thread is already started, stop it
1806	if (self.calc_2D is not None) and self.calc_2D.isrunning():
1807	self.calc_2D.stop()
1808	## stop just raises a flag to tell the thread to kill
1809	## itself -- see the fix in Calc1D implemented to fix
1810	## an actual problem. Seems the fix should also go here
1811	## and may be the cause of other noted instabilities
1812	##
1813	## -PDB August 12, 2014
1814	while self.calc_2D.isrunning():
1815	time.sleep(0.1)
1816	self.calc_2D = Calc2D(model=model,
1817	data=data,
1818	page_id=page_id,
1819	smearer=smearer,
1820	qmin=qmin,
1821	qmax=qmax,
1822	weight=weight,
1823	fid=fid,
1824	toggle_mode_on=toggle_mode_on,
1825	state=state,
1826	completefn=self._complete2D,
1827	update_chisqr=update_chisqr, source=source)
1828	self.calc_2D.queue()
1829	except:
1830	raise
1831
1832	def _draw_model1D(self, model, page_id, data,
1833	qmin, qmax, smearer=None,
1834	state=None,
1835	weight=None,
1836	fid=None,
1837	toggle_mode_on=False, update_chisqr=True, source='model',
1838	enable1D=True):
1839	"""
1840	Draw model 1D from loaded data1D
1841
1842	:param data: loaded data
1843	:param model: the model to plot
1844
1845	"""
1846	if not enable1D:
1847	return
1848	try:
1849	from model_thread import Calc1D
1850	## If a thread is already started, stop it
1851	if (self.calc_1D is not None) and self.calc_1D.isrunning():
1852	self.calc_1D.stop()
1853	## stop just raises the flag -- the thread is supposed to
1854	## then kill itself but cannot. Paul Kienzle came up with
1855	## this fix to prevent threads from stepping on each other
1856	## which was causing a simple custom model to crash Sasview.
1857	## We still don't know why the fit sometimes lauched a second
1858	## thread -- something which should also be investigated.
1859	## The thread approach was implemented in order to be able
1860	## to lauch a computation in a separate thread from the GUI so
1861	## that the GUI can still respond to user input including
1862	## a request to stop the computation.
1863	## It seems thus that the whole thread approach used here
1864	## May need rethinking
1865	##
1866	## -PDB August 12, 2014
1867	while self.calc_1D.isrunning():
1868	time.sleep(0.1)
1869	self.calc_1D = Calc1D(data=data,
1870	model=model,
1871	page_id=page_id,
1872	qmin=qmin,
1873	qmax=qmax,
1874	smearer=smearer,
1875	state=state,
1876	weight=weight,
1877	fid=fid,
1878	toggle_mode_on=toggle_mode_on,
1879	completefn=self._complete1D,
1880	#updatefn = self._update1D,
1881	update_chisqr=update_chisqr,
1882	source=source)
1883	self.calc_1D.queue()
1884	except:
1885	msg = " Error occurred when drawing %s Model 1D: " % model.name
1886	msg += " %s" % sys.exc_value
1887	wx.PostEvent(self.parent, StatusEvent(status=msg))
1888
1889	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
1890	"""
1891	Get handy Chisqr using the output from draw1D and 2D,
1892	instead of calling expansive CalcChisqr in guithread
1893	"""
1894	try:
1895	data_copy = deepcopy(data)
1896	except:
1897	return
1898	# default chisqr
1899	chisqr = None
1900	#to compute chisq make sure data has valid data
1901	# return None if data == None
1902	if not check_data_validity(data_copy) or data_copy == None:
1903	return chisqr
1904
1905	# Get data: data I, theory I, and data dI in order
1906	if data_copy.__class__.__name__ == "Data2D":
1907	if index == None:
1908	index = numpy.ones(len(data_copy.data), dtype=bool)
1909	if weight != None:
1910	data_copy.err_data = weight
1911	# get rid of zero error points
1912	index = index & (data_copy.err_data != 0)
1913	index = index & (numpy.isfinite(data_copy.data))
1914	fn = data_copy.data[index]
1915	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
1916	if theory_data == None:
1917	return chisqr
1918	gn = theory_data.data[index]
1919	en = data_copy.err_data[index]
1920	else:
1921	# 1 d theory from model_thread is only in the range of index
1922	if index == None:
1923	index = numpy.ones(len(data_copy.y), dtype=bool)
1924	if weight != None:
1925	data_copy.dy = weight
1926	if data_copy.dy == None or data_copy.dy == []:
1927	dy = numpy.ones(len(data_copy.y))
1928	else:
1929	## Set consistently w/AbstractFitengine:
1930	# But this should be corrected later.
1931	dy = deepcopy(data_copy.dy)
1932	dy[dy == 0] = 1
1933	fn = data_copy.y[index]
1934
1935	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
1936	if theory_data == None:
1937	return chisqr
1938	gn = theory_data.y
1939	en = dy[index]
1940
1941	# residual
1942	try:
1943	res = (fn - gn) / en
1944	except ValueError:
1945	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
1946	return
1947
1948	residuals = res[numpy.isfinite(res)]
1949	# get chisqr only w/finite
1950	chisqr = numpy.average(residuals * residuals)
1951
1952	self._plot_residuals(page_id=page_id, data=data_copy,
1953	fid=fid,
1954	weight=weight, index=index)
1955
1956	return chisqr
1957
1958	def _plot_residuals(self, page_id, weight, fid=None,
1959	data=None, index=None):
1960	"""
1961	Plot the residuals
1962
1963	:param data: data
1964	:param index: index array (bool)
1965	: Note: this is different from the residuals in cal_chisqr()
1966	"""
1967	data_copy = deepcopy(data)
1968	# Get data: data I, theory I, and data dI in order
1969	if data_copy.__class__.__name__ == "Data2D":
1970	# build residuals
1971	residuals = Data2D()
1972	#residuals.copy_from_datainfo(data)
1973	# Not for trunk the line below, instead use the line above
1974	data_copy.clone_without_data(len(data_copy.data), residuals)
1975	residuals.data = None
1976	fn = data_copy.data
1977	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
1978	gn = theory_data.data
1979	if weight == None:
1980	en = data_copy.err_data
1981	else:
1982	en = weight
1983	residuals.data = (fn - gn) / en
1984	residuals.qx_data = data_copy.qx_data
1985	residuals.qy_data = data_copy.qy_data
1986	residuals.q_data = data_copy.q_data
1987	residuals.err_data = numpy.ones(len(residuals.data))
1988	residuals.xmin = min(residuals.qx_data)
1989	residuals.xmax = max(residuals.qx_data)
1990	residuals.ymin = min(residuals.qy_data)
1991	residuals.ymax = max(residuals.qy_data)
1992	residuals.q_data = data_copy.q_data
1993	residuals.mask = data_copy.mask
1994	residuals.scale = 'linear'
1995	# check the lengths
1996	if len(residuals.data) != len(residuals.q_data):
1997	return
1998	else:
1999	# 1 d theory from model_thread is only in the range of index
2000	if data_copy.dy == None or data_copy.dy == []:
2001	dy = numpy.ones(len(data_copy.y))
2002	else:
2003	if weight == None:
2004	dy = numpy.ones(len(data_copy.y))
2005	## Set consitently w/AbstractFitengine:
2006	## But this should be corrected later.
2007	else:
2008	dy = weight
2009	dy[dy == 0] = 1
2010	fn = data_copy.y[index]
2011	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
2012	gn = theory_data.y
2013	en = dy[index]
2014	# build residuals
2015	residuals = Data1D()
2016	try:
2017	residuals.y = (fn - gn) / en
2018	except:
2019	msg = "ResidualPlot Error: different # of data points in theory"
2020	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
2021	residuals.y = (fn - gn[index]) / en
2022	residuals.x = data_copy.x[index]
2023	residuals.dy = numpy.ones(len(residuals.y))
2024	residuals.dx = None
2025	residuals.dxl = None
2026	residuals.dxw = None
2027	residuals.ytransform = 'y'
2028	# For latter scale changes
2029	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
2030	residuals.yaxis('\\rm{Residuals} ', 'normalized')
2031	theory_name = str(theory_data.name.split()[0])
2032	new_plot = residuals
2033	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
2034	str(data.name) + "]"
2035	## allow to highlight data when plotted
2036	new_plot.interactive = True
2037	## when 2 data have the same id override the 1 st plotted
2038	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
2039	##group_id specify on which panel to plot this data
2040	group_id = self.page_finder[page_id].get_graph_id()
2041	if group_id == None:
2042	group_id = data.group_id
2043	new_plot.group_id = "res" + str(group_id)
2044	#new_plot.is_data = True
2045	##post data to plot
2046	title = new_plot.name
2047	self.page_finder[page_id].set_residuals(residuals=new_plot,
2048	fid=data.id)
2049	self.parent.update_theory(data_id=data.id, theory=new_plot)
2050	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
2051	if not batch_on:
2052	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

Note: See TracBrowser for help on using the repository browser.

SasView

source: sasview/src/sas/perspectives/fitting/fitting.py @ a342928

Download in other formats: