fitting.py @ 0733da4

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

Last change on this file since 0733da4 was 0733da4, checked in by smk78, 8 years ago
Added "Python Shell/Editor?" text to menu drop-down Fitting > Edit Custom Model. Now need to invoke the functionality. Refs #749
Property mode set to `100755`
File size: 88.1 KB

Rev	Line
[f76bf17]	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
[934ce649]	21	import traceback
[f76bf17]	22
[b699768]	23	from sas.sascalc.dataloader.loader import Loader
[d85c194]	24	from sas.sasgui.guiframe.dataFitting import Data2D
	25	from sas.sasgui.guiframe.dataFitting import Data1D
	26	from sas.sasgui.guiframe.dataFitting import check_data_validity
	27	from sas.sasgui.guiframe.events import NewPlotEvent
	28	from sas.sasgui.guiframe.events import StatusEvent
	29	from sas.sasgui.guiframe.events import EVT_SLICER_PANEL
	30	from sas.sasgui.guiframe.events import EVT_SLICER_PARS_UPDATE
	31	from sas.sasgui.guiframe.gui_style import GUIFRAME_ID
	32	from sas.sasgui.guiframe.plugin_base import PluginBase
	33	from sas.sasgui.guiframe.data_processor import BatchCell
[b699768]	34	from sas.sascalc.fit.BumpsFitting import BumpsFit as Fit
[d85c194]	35	from sas.sasgui.perspectives.fitting.console import ConsoleUpdate
	36	from sas.sasgui.perspectives.fitting.fitproblem import FitProblemDictionary
	37	from sas.sasgui.perspectives.fitting.fitpanel import FitPanel
	38	from sas.sasgui.perspectives.fitting.resultpanel import ResultPanel, PlotResultEvent
	39
	40	from sas.sasgui.perspectives.fitting.fit_thread import FitThread
	41	from sas.sasgui.perspectives.fitting.pagestate import Reader
	42	from sas.sasgui.perspectives.fitting.fitpage import Chi2UpdateEvent
	43	from sas.sasgui.perspectives.calculator.model_editor import TextDialog
	44	from sas.sasgui.perspectives.calculator.model_editor import EditorWindow
	45	from sas.sasgui.guiframe.gui_manager import MDIFrame
	46	from sas.sasgui.guiframe.documentation_window import DocumentationWindow
[f76bf17]	47
[934ce649]	48	from . import models
	49
[f76bf17]	50	MAX_NBR_DATA = 4
	51
	52	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
	53
	54
	55	if sys.platform == "win32":
	56	ON_MAC = False
	57	else:
	58	ON_MAC = True
	59
[05228b0]	60	import bumps.options
	61	from bumps.gui.fit_dialog import show_fit_config
	62	try:
	63	from bumps.gui.fit_dialog import EVT_FITTER_CHANGED
	64	except ImportError:
[243fbc0]	65	# CRUFT: bumps 0.7.5.8 and below
[05228b0]	66	EVT_FITTER_CHANGED = None # type: wx.PyCommandEvent
[f76bf17]	67
	68	class Plugin(PluginBase):
	69	"""
	70	Fitting plugin is used to perform fit
	71	"""
[f21d496]	72	def __init__(self):
	73	PluginBase.__init__(self, name="Fitting")
[f76bf17]	74
	75	#list of panel to send to guiframe
	76	self.mypanels = []
	77	# reference to the current running thread
	78	self.calc_2D = None
	79	self.calc_1D = None
	80
	81	self.color_dict = {}
	82
	83	self.fit_thread_list = {}
	84	self.residuals = None
	85	self.weight = None
	86	self.fit_panel = None
	87	self.plot_panel = None
	88	# Start with a good default
	89	self.elapsed = 0.022
	90	self.fit_panel = None
	91	## dictionary of page closed and id
	92	self.closed_page_dict = {}
	93	## Relative error desired in the sum of squares (float)
	94	self.batch_reset_flag = True
	95	#List of selected data
	96	self.selected_data_list = []
	97	## list of slicer panel created to display slicer parameters and results
	98	self.slicer_panels = []
	99	# model 2D view
	100	self.model2D_id = None
	101	#keep reference of the simultaneous fit page
	102	self.sim_page = None
	103	self.sim_menu = None
	104	self.batch_page = None
	105	self.batch_menu = None
	106	self.index_model = 0
	107	self.test_model_color = None
	108	#Create a reader for fit page's state
	109	self.state_reader = None
	110	self._extensions = '.fitv'
	111	self.menu1 = None
	112	self.new_model_frame = None
	113
	114	self.temp_state = []
	115	self.state_index = 0
	116	self.sfile_ext = None
	117	# take care of saving data, model and page associated with each other
	118	self.page_finder = {}
	119	# Log startup
	120	logging.info("Fitting plug-in started")
	121	self.batch_capable = self.get_batch_capable()
	122
	123	def get_batch_capable(self):
	124	"""
	125	Check if the plugin has a batch capability
	126	"""
	127	return True
	128
	129	def create_fit_problem(self, page_id):
	130	"""
	131	Given an ID create a fitproblem container
	132	"""
	133	self.page_finder[page_id] = FitProblemDictionary()
	134
	135	def delete_fit_problem(self, page_id):
	136	"""
	137	Given an ID create a fitproblem container
	138	"""
	139	if page_id in self.page_finder.iterkeys():
	140	del self.page_finder[page_id]
	141
	142	def add_color(self, color, id):
	143	"""
	144	adds a color as a key with a plot id as its value to a dictionary
	145	"""
	146	self.color_dict[id] = color
	147
	148	def on_batch_selection(self, flag):
	149	"""
	150	switch the the notebook of batch mode or not
	151	"""
	152	self.batch_on = flag
	153	if self.fit_panel is not None:
	154	self.fit_panel.batch_on = self.batch_on
	155
	156	def populate_menu(self, owner):
	157	"""
	158	Create a menu for the Fitting plug-in
	159
	160	:param id: id to create a menu
	161	:param owner: owner of menu
	162
	163	:return: list of information to populate the main menu
	164
	165	"""
	166	#Menu for fitting
	167	self.menu1 = wx.Menu()
	168	id1 = wx.NewId()
	169	simul_help = "Add new fit panel"
	170	self.menu1.Append(id1, '&New Fit Page', simul_help)
	171	wx.EVT_MENU(owner, id1, self.on_add_new_page)
	172	self.menu1.AppendSeparator()
	173	self.id_simfit = wx.NewId()
	174	simul_help = "Constrained or Simultaneous Fit"
	175	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
	176	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
	177	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
	178	self.sim_menu.Enable(False)
	179	#combined Batch
	180	self.id_batchfit = wx.NewId()
	181	batch_help = "Combined Batch"
	182	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
	183	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
	184	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
	185	self.batch_menu.Enable(False)
	186
	187	self.menu1.AppendSeparator()
	188	self.id_bumps_options = wx.NewId()
	189	bopts_help = "Fitting options"
	190	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
	191	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
	192	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
	193	self.bumps_options_menu.Enable(True)
	194
	195	self.id_result_panel = wx.NewId()
	196	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
[9776c82]	197	wx.EVT_MENU(owner, self.id_result_panel, self.on_fit_results)
[f76bf17]	198	self.menu1.AppendSeparator()
	199
	200	self.id_reset_flag = wx.NewId()
	201	resetf_help = "BatchFit: If checked, the initial param values will be "
	202	resetf_help += "propagated from the previous results. "
	203	resetf_help += "Otherwise, the same initial param values will be used "
	204	resetf_help += "for all fittings."
	205	self.menu1.AppendCheckItem(self.id_reset_flag,
	206	"Chain Fitting [BatchFit Only]",
	207	resetf_help)
	208	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
	209	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
	210	chain_menu.Check(not self.batch_reset_flag)
	211	chain_menu.Enable(self.batch_on)
	212
	213	self.menu1.AppendSeparator()
	214	self.edit_model_menu = wx.Menu()
	215	# Find and put files name in menu
	216	try:
	217	self.set_edit_menu(owner=owner)
	218	except:
	219	raise
	220
	221	self.id_edit = wx.NewId()
	222	editmodel_help = "Edit customized model sample file"
	223	self.menu1.AppendMenu(self.id_edit, "Edit Custom Model",
	224	self.edit_model_menu, editmodel_help)
	225	#create menubar items
	226	return [(self.menu1, self.sub_menu)]
	227
	228	def edit_custom_model(self, event):
	229	"""
	230	Get the python editor panel
	231	"""
[f21d496]	232	event_id = event.GetId()
	233	label = self.edit_menu.GetLabel(event_id)
[d85c194]	234	from sas.sasgui.perspectives.calculator.pyconsole import PyConsole
[f76bf17]	235	filename = os.path.join(models.find_plugins_dir(), label)
	236	frame = PyConsole(parent=self.parent, manager=self,
	237	panel=self.fit_panel,
	238	title='Advanced Custom Model Editor',
	239	filename=filename)
	240	self.put_icon(frame)
	241	frame.Show(True)
	242
	243	def delete_custom_model(self, event):
	244	"""
	245	Delete custom model file
	246	"""
[f21d496]	247	event_id = event.GetId()
	248	label = self.delete_menu.GetLabel(event_id)
[f76bf17]	249	toks = os.path.splitext(label)
	250	path = os.path.join(models.find_plugins_dir(), toks[0])
	251	try:
	252	for ext in ['.py', '.pyc']:
	253	p_path = path + ext
	254	os.remove(p_path)
	255	self.update_custom_combo()
	256	if os.path.isfile(p_path):
	257	msg = "Sorry! Could not be able to delete the default "
	258	msg += "custom model... \n"
	259	msg += "Please manually remove the files (.py, .pyc) "
	260	msg += "in the 'plugin_models' folder \n"
	261	msg += "inside of the SasView application, "
	262	msg += "and try it again."
	263	wx.MessageBox(msg, 'Info')
[934ce649]	264	#evt = StatusEvent(status=msg, type='stop', info='warning')
	265	#wx.PostEvent(self.parent, evt)
[f76bf17]	266	else:
[f21d496]	267	self.delete_menu.Delete(event_id)
[f76bf17]	268	for item in self.edit_menu.GetMenuItems():
	269	if item.GetLabel() == label:
	270	self.edit_menu.DeleteItem(item)
	271	msg = "The custom model, %s, has been deleted." % label
[934ce649]	272	evt = StatusEvent(status=msg, type='stop', info='info')
	273	wx.PostEvent(self.parent, evt)
[f76bf17]	274	break
[7673ecd]	275	except Exception:
	276	import traceback; traceback.print_exc()
[f76bf17]	277	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
	278	wx.MessageBox(msg, 'Error')
	279
	280	def make_sum_model(self, event):
	281	"""
	282	Edit summodel template and make one
	283	"""
[f21d496]	284	event_id = event.GetId()
[f76bf17]	285	model_manager = models.ModelManager()
	286	model_list = model_manager.get_model_name_list()
	287	plug_dir = models.find_plugins_dir()
[6f16e25]	288	textdial = TextDialog(None, self, wx.ID_ANY, 'Easy Sum/Multi(p1, p2) Editor',
[f76bf17]	289	model_list, plug_dir)
	290	self.put_icon(textdial)
	291	textdial.ShowModal()
	292	textdial.Destroy()
	293
	294	def make_new_model(self, event):
	295	"""
	296	Make new model
	297	"""
	298	if self.new_model_frame != None:
	299	self.new_model_frame.Show(False)
	300	self.new_model_frame.Show(True)
	301	else:
[f21d496]	302	event_id = event.GetId()
[f76bf17]	303	dir_path = models.find_plugins_dir()
	304	title = "New Custom Model Function"
	305	self.new_model_frame = EditorWindow(parent=self, base=self,
	306	path=dir_path, title=title)
	307	self.put_icon(self.new_model_frame)
	308	self.new_model_frame.Show(True)
	309
[105ef92]	310	def load_plugin_models(self, event):
	311	"""
	312	Update of models in plugin_models folder
	313	"""
	314	event_id = event.GetId()
[c807957]	315	self.update_custom_combo()
[105ef92]	316
[f76bf17]	317	def update_custom_combo(self):
	318	"""
	319	Update custom model list in the fitpage combo box
	320	"""
	321	custom_model = 'Customized Models'
	322	try:
	323	# Update edit menus
	324	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
	325	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
	326	temp = self.fit_panel.reset_pmodel_list()
	327	if temp:
	328	# Set the new custom model list for all fit pages
	329	for uid, page in self.fit_panel.opened_pages.iteritems():
	330	if hasattr(page, "formfactorbox"):
	331	page.model_list_box = temp
	332	current_val = page.formfactorbox.GetLabel()
	333	#if page.plugin_rbutton.GetValue():
	334	mod_cat = page.categorybox.GetStringSelection()
	335	if mod_cat == custom_model:
	336	#pos = page.formfactorbox.GetSelection()
	337	page._show_combox_helper()
	338	new_val = page.formfactorbox.GetLabel()
	339	if current_val != new_val and new_val != '':
	340	page.formfactorbox.SetLabel(new_val)
	341	else:
	342	page.formfactorbox.SetLabel(current_val)
	343	except:
[c807957]	344	logging.error("update_custom_combo: %s", sys.exc_value)
[f76bf17]	345
	346	def set_edit_menu(self, owner):
	347	"""
	348	Set list of the edit model menu labels
	349	"""
[f21d496]	350	wx_id = wx.NewId()
[f76bf17]	351	#new_model_menu = wx.Menu()
[f21d496]	352	self.edit_model_menu.Append(wx_id, 'New',
[f76bf17]	353	'Add a new model function')
[f21d496]	354	wx.EVT_MENU(owner, wx_id, self.make_new_model)
[105ef92]	355
[f21d496]	356	wx_id = wx.NewId()
	357	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
[f76bf17]	358	'Sum of two model functions')
[f21d496]	359	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
[105ef92]	360
[f76bf17]	361	e_id = wx.NewId()
	362	self.edit_menu = wx.Menu()
	363	self.edit_model_menu.AppendMenu(e_id,
	364	'Advanced', self.edit_menu)
	365	self.set_edit_menu_helper(owner, self.edit_custom_model)
	366
	367	d_id = wx.NewId()
	368	self.delete_menu = wx.Menu()
	369	self.edit_model_menu.AppendMenu(d_id,
	370	'Delete', self.delete_menu)
	371	self.set_edit_menu_helper(owner, self.delete_custom_model)
	372
[105ef92]	373	wx_id = wx.NewId()
	374	self.edit_model_menu.Append(wx_id, 'Load Models',
	375	'(Re)Load all models present in user plugin_models folder')
	376	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
[0733da4]	377
	378	wx_id = wx.NewId()
	379	self.edit_model_menu.Append(wx_id, 'Python Shell/Editor',
	380	'Python Console')
	381	#wx.EVT_MENU(owner, wx_id, self.get_python_panel(filename=None))
	382
[f76bf17]	383	def set_edit_menu_helper(self, owner=None, menu=None):
	384	"""
	385	help for setting list of the edit model menu labels
	386	"""
	387	if menu == None:
	388	menu = self.edit_custom_model
	389	list_fnames = os.listdir(models.find_plugins_dir())
	390	list_fnames.sort()
	391	for f_item in list_fnames:
	392	name = os.path.basename(f_item)
	393	toks = os.path.splitext(name)
	394	if toks[-1] == '.py' and not toks[0] == '__init__':
	395	if menu == self.edit_custom_model:
	396	if toks[0] == 'easy_sum_of_p1_p2':
	397	continue
	398	submenu = self.edit_menu
	399	else:
	400	submenu = self.delete_menu
	401	has_file = False
	402	for item in submenu.GetMenuItems():
	403	if name == submenu.GetLabel(item.GetId()):
	404	has_file = True
	405	if not has_file:
[f21d496]	406	wx_id = wx.NewId()
	407	submenu.Append(wx_id, name)
	408	wx.EVT_MENU(owner, wx_id, menu)
[f76bf17]	409	has_file = False
	410
	411	def put_icon(self, frame):
	412	"""
	413	Put icon in the frame title bar
	414	"""
	415	if hasattr(frame, "IsIconized"):
	416	if not frame.IsIconized():
	417	try:
	418	icon = self.parent.GetIcon()
	419	frame.SetIcon(icon)
	420	except:
	421	pass
	422
	423	def on_add_sim_page(self, event):
	424	"""
	425	Create a page to access simultaneous fit option
	426	"""
[f21d496]	427	event_id = event.GetId()
[f76bf17]	428	caption = "Const & Simul Fit"
	429	page = self.sim_page
[f21d496]	430	if event_id == self.id_batchfit:
[f76bf17]	431	caption = "Combined Batch"
	432	page = self.batch_page
	433
	434	def set_focus_page(page):
	435	page.Show(True)
	436	page.Refresh()
	437	page.SetFocus()
	438	#self.parent._mgr.Update()
	439	msg = "%s already opened\n" % str(page.window_caption)
	440	wx.PostEvent(self.parent, StatusEvent(status=msg))
	441
	442	if page != None:
	443	return set_focus_page(page)
	444	if caption == "Const & Simul Fit":
	445	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	446	else:
	447	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
	448
	449	def get_context_menu(self, plotpanel=None):
	450	"""
	451	Get the context menu items available for P(r).them allow fitting option
	452	for Data2D and Data1D only.
	453
	454	:param graph: the Graph object to which we attach the context menu
	455
	456	:return: a list of menu items with call-back function
	457
	458	:note: if Data1D was generated from Theory1D
	459	the fitting option is not allowed
	460
	461	"""
	462	self.plot_panel = plotpanel
	463	graph = plotpanel.graph
	464	fit_option = "Select data for fitting"
	465	fit_hint = "Dialog with fitting parameters "
	466
	467	if graph.selected_plottable not in plotpanel.plots:
	468	return []
	469	item = plotpanel.plots[graph.selected_plottable]
	470	if item.__class__.__name__ is "Data2D":
	471	if hasattr(item, "is_data"):
	472	if item.is_data:
	473	return [[fit_option, fit_hint, self._onSelect]]
	474	else:
	475	return []
	476	return [[fit_option, fit_hint, self._onSelect]]
	477	else:
	478
	479	# if is_data is true , this in an actual data loaded
	480	#else it is a data created from a theory model
	481	if hasattr(item, "is_data"):
	482	if item.is_data:
	483	return [[fit_option, fit_hint, self._onSelect]]
	484	else:
	485	return []
	486	return [[fit_option, fit_hint, self._onSelect]]
	487	return []
	488
	489	def get_panels(self, parent):
	490	"""
	491	Create and return a list of panel objects
	492	"""
	493	self.parent = parent
	494	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
	495	# Creation of the fit panel
	496	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
	497	self.fit_panel = FitPanel(parent=self.frame, manager=self)
	498	self.frame.set_panel(self.fit_panel)
	499	self._frame_set_helper()
	500	self.on_add_new_page(event=None)
	501	#Set the manager for the main panel
	502	self.fit_panel.set_manager(self)
	503	# List of windows used for the perspective
	504	self.perspective = []
	505	self.perspective.append(self.fit_panel.window_name)
	506
	507	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
	508	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
	509	self.perspective.append(self.result_panel.window_name)
	510
	511	#index number to create random model name
	512	self.index_model = 0
	513	self.index_theory = 0
	514	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
	515	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[05228b0]	516
[243fbc0]	517	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
[05228b0]	518	if EVT_FITTER_CHANGED is not None:
	519	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
	520	self._set_fitter_label(bumps.options.FIT_CONFIG)
	521
[f76bf17]	522	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
	523	#Create reader when fitting panel are created
	524	self.state_reader = Reader(self.set_state)
	525	#append that reader to list of available reader
	526	loader = Loader()
	527	loader.associate_file_reader(".fitv", self.state_reader)
	528	#Send the fitting panel to guiframe
	529	self.mypanels.append(self.fit_panel)
	530	self.mypanels.append(self.result_panel)
	531	return self.mypanels
	532
	533	def clear_panel(self):
	534	"""
	535	"""
	536	self.fit_panel.clear_panel()
	537
	538	def delete_data(self, data):
	539	"""
	540	delete the given data from panel
	541	"""
	542	self.fit_panel.delete_data(data)
	543
	544	def set_data(self, data_list=None):
	545	"""
	546	receive a list of data to fit
	547	"""
	548	if data_list is None:
	549	data_list = []
	550	selected_data_list = []
	551	if self.batch_on:
[098f3d2]	552	self.add_fit_page(data=data_list)
[f76bf17]	553	else:
	554	if len(data_list) > MAX_NBR_DATA:
	555	from fitting_widgets import DataDialog
	556	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	557	if dlg.ShowModal() == wx.ID_OK:
	558	selected_data_list = dlg.get_data()
	559	dlg.Destroy()
	560
	561	else:
	562	selected_data_list = data_list
	563	try:
	564	group_id = wx.NewId()
	565	for data in selected_data_list:
	566	if data is not None:
	567	# 2D has no same group_id
	568	if data.__class__.__name__ == 'Data2D':
	569	group_id = wx.NewId()
	570	data.group_id = group_id
	571	if group_id not in data.list_group_id:
	572	data.list_group_id.append(group_id)
[098f3d2]	573	self.add_fit_page(data=[data])
[f76bf17]	574	except:
[098f3d2]	575	msg = "Fitting set_data: " + str(sys.exc_value)
[f76bf17]	576	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	577
	578	def set_theory(self, theory_list=None):
	579	"""
	580	"""
	581	#set the model state for a given theory_state:
	582	for item in theory_list:
	583	try:
	584	_, theory_state = item
	585	self.fit_panel.set_model_state(theory_state)
[7673ecd]	586	except Exception:
[f76bf17]	587	msg = "Fitting: cannot deal with the theory received"
[934ce649]	588	evt = StatusEvent(status=msg, info="error")
[f76bf17]	589	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
[934ce649]	590	wx.PostEvent(self.parent, evt)
[f76bf17]	591
	592	def set_state(self, state=None, datainfo=None, format=None):
	593	"""
	594	Call-back method for the fit page state reader.
	595	This method is called when a .fitv/.svs file is loaded.
	596
	597	: param state: PageState object
	598	: param datainfo: data
	599	"""
[e89aed5]	600	from pagestate import PageState
	601	from simfitpage import SimFitPageState
	602	if isinstance(state, PageState):
[f76bf17]	603	state = state.clone()
	604	self.temp_state.append(state)
[e89aed5]	605	elif isinstance(state, SimFitPageState):
	606	state.load_from_save_state(self)
[f76bf17]	607	else:
	608	self.temp_state = []
	609	# index to start with for a new set_state
	610	self.state_index = 0
	611	# state file format
	612	self.sfile_ext = format
	613
	614	self.on_set_state_helper(event=None)
	615
	616	def on_set_state_helper(self, event=None):
	617	"""
	618	Set_state_helper. This actually sets state
	619	after plotting data from state file.
	620
	621	: event: FitStateUpdateEvent called
	622	by dataloader.plot_data from guiframe
	623	"""
	624	if len(self.temp_state) == 0:
	625	if self.state_index == 0 and len(self.mypanels) <= 0 \
	626	and self.sfile_ext == '.svs':
	627	self.temp_state = []
	628	self.state_index = 0
	629	return
	630
	631	try:
	632	# Load fitting state
	633	state = self.temp_state[self.state_index]
	634	#panel state should have model selection to set_state
	635	if state.formfactorcombobox != None:
	636	#set state
	637	data = self.parent.create_gui_data(state.data)
	638	data.group_id = state.data.group_id
	639	self.parent.add_data(data_list={data.id: data})
	640	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	641	title=data.title))
	642	#need to be fix later make sure we are sendind guiframe.data
	643	#to panel
	644	state.data = data
	645	page = self.fit_panel.set_state(state)
	646	else:
	647	#just set data because set_state won't work
	648	data = self.parent.create_gui_data(state.data)
	649	data.group_id = state.data.group_id
	650	self.parent.add_data(data_list={data.id: data})
	651	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	652	title=data.title))
	653	page = self.add_fit_page([data])
	654	caption = page.window_caption
	655	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	656	caption=caption)
	657	self.mypanels.append(page)
	658
	659	# get ready for the next set_state
	660	self.state_index += 1
	661
	662	#reset state variables to default when all set_state is finished.
	663	if len(self.temp_state) == self.state_index:
	664
	665	self.temp_state = []
	666	#self.state_index = 0
	667	# Make sure the user sees the fitting panel after loading
	668	#self.parent.set_perspective(self.perspective)
	669	self.on_perspective(event=None)
	670	except:
	671	self.state_index = 0
	672	self.temp_state = []
	673	raise
	674
	675	def set_param2fit(self, uid, param2fit):
	676	"""
	677	Set the list of param names to fit for fitprobelm
	678	"""
	679	self.page_finder[uid].set_param2fit(param2fit)
	680
	681	def set_graph_id(self, uid, graph_id):
	682	"""
	683	Set graph_id for fitprobelm
	684	"""
	685	self.page_finder[uid].set_graph_id(graph_id)
	686
	687	def get_graph_id(self, uid):
	688	"""
	689	Set graph_id for fitprobelm
	690	"""
	691	return self.page_finder[uid].get_graph_id()
	692
	693	def save_fit_state(self, filepath, fitstate):
	694	"""
	695	save fit page state into file
	696	"""
	697	self.state_reader.write(filename=filepath, fitstate=fitstate)
	698
	699	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
	700	"""
	701	Set the fit weights of a given page for all
	702	its data by default. If fid is provide then set the range
	703	only for the data with fid as id
	704	:param uid: id corresponding to a fit page
	705	:param fid: id corresponding to a fit problem (data, model)
	706	:param weight: current dy data
	707	"""
[098f3d2]	708	# If we are not dealing with a specific fit problem, then
	709	# there is no point setting the weights.
	710	if fid is None:
	711	return
[f76bf17]	712	if uid in self.page_finder.keys():
	713	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
	714
	715	def set_fit_range(self, uid, qmin, qmax, fid=None):
	716	"""
	717	Set the fitting range of a given page for all
	718	its data by default. If fid is provide then set the range
	719	only for the data with fid as id
	720	:param uid: id corresponding to a fit page
	721	:param fid: id corresponding to a fit problem (data, model)
	722	:param qmin: minimum value of the fit range
	723	:param qmax: maximum value of the fit range
	724	"""
	725	if uid in self.page_finder.keys():
	726	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	727
	728	def schedule_for_fit(self, value=0, uid=None):
	729	"""
	730	Set the fit problem field to 0 or 1 to schedule that problem to fit.
	731	Schedule the specified fitproblem or get the fit problem related to
	732	the current page and set value.
	733	:param value: integer 0 or 1
	734	:param uid: the id related to a page contaning fitting information
	735	"""
	736	if uid in self.page_finder.keys():
	737	self.page_finder[uid].schedule_tofit(value)
	738
	739	def get_page_finder(self):
	740	"""
	741	return self.page_finder used also by simfitpage.py
	742	"""
	743	return self.page_finder
	744
	745	def set_page_finder(self, modelname, names, values):
	746	"""
	747	Used by simfitpage.py to reset a parameter given the string constrainst.
	748
	749	:param modelname: the name ot the model for with the parameter
	750	has to reset
	751	:param value: can be a string in this case.
	752	:param names: the paramter name
	753	"""
	754	sim_page_id = self.sim_page.uid
	755	for uid, value in self.page_finder.iteritems():
	756	if uid != sim_page_id and uid != self.batch_page.uid:
[f21d496]	757	model_list = value.get_model()
	758	model = model_list[0]
[f76bf17]	759	if model.name == modelname:
	760	value.set_model_param(names, values)
	761	break
	762
	763	def split_string(self, item):
	764	"""
	765	receive a word containing dot and split it. used to split parameterset
	766	name into model name and parameter name example: ::
	767
	768	paramaterset (item) = M1.A
	769	Will return model_name = M1 , parameter name = A
	770
	771	"""
	772	if item.find(".") >= 0:
	773	param_names = re.split("\.", item)
	774	model_name = param_names[0]
	775	##Assume max len is 3; eg., M0.radius.width
	776	if len(param_names) == 3:
	777	param_name = param_names[1] + "." + param_names[2]
	778	else:
	779	param_name = param_names[1]
	780	return model_name, param_name
	781
	782	def on_bumps_options(self, event=None):
[9776c82]	783	"""
	784	Open the bumps options panel.
	785	"""
[05228b0]	786	show_fit_config(self.parent, help=self.on_help)
	787
	788	def on_fitter_changed(self, event):
	789	self._set_fitter_label(event.config)
	790
	791	def _set_fitter_label(self, config):
	792	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
	793	+ " - Active Fitting Optimizer: "
	794	+ config.selected_name)
[7945367]	795
	796	def on_help(self, algorithm_id):
[86b049b]	797	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
[7945367]	798	_anchor = "#fit-"+algorithm_id
[6f16e25]	799	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
[7945367]	800
[f76bf17]	801
[9776c82]	802	def on_fit_results(self, event=None):
	803	"""
	804	Make the Fit Results panel visible.
	805	"""
	806	self.result_frame.Show()
	807	self.result_frame.Raise()
	808
[f76bf17]	809	def stop_fit(self, uid):
	810	"""
[acf8e4a5]	811	Stop the fit
[f76bf17]	812	"""
	813	if uid in self.fit_thread_list.keys():
	814	calc_fit = self.fit_thread_list[uid]
	815	if calc_fit is not None and calc_fit.isrunning():
	816	calc_fit.stop()
	817	msg = "Fit stop!"
	818	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	819	del self.fit_thread_list[uid]
	820	#set the fit button label of page when fit stop is trigger from
	821	#simultaneous fit pane
	822	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	823	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	824	if sim_flag or batch_flag:
	825	for uid, value in self.page_finder.iteritems():
	826	if value.get_scheduled() == 1:
	827	if uid in self.fit_panel.opened_pages.keys():
	828	panel = self.fit_panel.opened_pages[uid]
	829	panel._on_fit_complete()
	830
	831	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	832	enable_smearer=False):
	833	"""
	834	Get a smear object and store it to a fit problem of fid as id. If proper
	835	flag is enable , will plot the theory with smearing information.
	836
	837	:param smearer: smear object to allow smearing data of id fid
	838	:param enable_smearer: Define whether or not all (data, model) contained
	839	in the structure of id uid will be smeared before fitting.
	840	:param qmin: the maximum value of the theory plotting range
	841	:param qmax: the maximum value of the theory plotting range
	842	:param draw: Determine if the theory needs to be plot
	843	"""
	844	if uid not in self.page_finder.keys():
	845	return
	846	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	847	self.page_finder[uid].set_smearer(smearer, fid=fid)
	848	if draw:
	849	## draw model 1D with smeared data
	850	data = self.page_finder[uid].get_fit_data(fid=fid)
	851	if data is None:
	852	msg = "set_mearer requires at least data.\n"
	853	msg += "Got data = %s .\n" % str(data)
	854	return
	855	#raise ValueError, msg
	856	model = self.page_finder[uid].get_model(fid=fid)
	857	if model is None:
	858	return
	859	enable1D = issubclass(data.__class__, Data1D)
	860	enable2D = issubclass(data.__class__, Data2D)
	861	## if user has already selected a model to plot
	862	## redraw the model with data smeared
	863	smear = self.page_finder[uid].get_smearer(fid=fid)
	864
	865	# compute weight for the current data
	866	weight = self.page_finder[uid].get_weight(fid=fid)
	867
	868	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
	869	enable1D=enable1D, enable2D=enable2D,
	870	qmin=qmin, qmax=qmax, weight=weight)
	871	self._mac_sleep(0.2)
	872
	873	def _mac_sleep(self, sec=0.2):
	874	"""
	875	Give sleep to MAC
	876	"""
	877	if ON_MAC:
	878	time.sleep(sec)
	879
	880	def draw_model(self, model, page_id, data=None, smearer=None,
	881	enable1D=True, enable2D=False,
	882	state=None,
	883	fid=None,
	884	toggle_mode_on=False,
	885	qmin=None, qmax=None,
	886	update_chisqr=True, weight=None, source='model'):
	887	"""
	888	Draw model.
	889
	890	:param model: the model to draw
	891	:param name: the name of the model to draw
	892	:param data: the data on which the model is based to be drawn
	893	:param description: model's description
	894	:param enable1D: if true enable drawing model 1D
	895	:param enable2D: if true enable drawing model 2D
	896	:param qmin: Range's minimum value to draw model
	897	:param qmax: Range's maximum value to draw model
	898	:param qstep: number of step to divide the x and y-axis
	899	:param update_chisqr: update chisqr [bool]
	900
	901	"""
	902	#self.weight = weight
	903	if issubclass(data.__class__, Data1D) or not enable2D:
	904	## draw model 1D with no loaded data
	905	self._draw_model1D(model=model,
	906	data=data,
	907	page_id=page_id,
	908	enable1D=enable1D,
	909	smearer=smearer,
	910	qmin=qmin,
	911	qmax=qmax,
	912	fid=fid,
	913	weight=weight,
	914	toggle_mode_on=toggle_mode_on,
	915	state=state,
	916	update_chisqr=update_chisqr,
	917	source=source)
	918	else:
	919	## draw model 2D with no initial data
	920	self._draw_model2D(model=model,
	921	page_id=page_id,
	922	data=data,
	923	enable2D=enable2D,
	924	smearer=smearer,
	925	qmin=qmin,
	926	qmax=qmax,
	927	fid=fid,
	928	weight=weight,
	929	state=state,
	930	toggle_mode_on=toggle_mode_on,
	931	update_chisqr=update_chisqr,
	932	source=source)
	933
	934	def onFit(self, uid):
	935	"""
	936	Get series of data, model, associates parameters and range and send then
[acf8e4a5]	937	to series of fitters. Fit data and model, display result to
[f76bf17]	938	corresponding panels.
	939	:param uid: id related to the panel currently calling this fit function.
	940	"""
	941	if uid is None: raise RuntimeError("no page to fit") # Should never happen
	942
	943	sim_page_uid = getattr(self.sim_page, 'uid', None)
	944	batch_page_uid = getattr(self.batch_page, 'uid', None)
	945
	946	if uid == sim_page_uid:
	947	fit_type = 'simultaneous'
	948	elif uid == batch_page_uid:
	949	fit_type = 'combined_batch'
	950	else:
	951	fit_type = 'single'
	952
	953	fitter_list = []
	954	sim_fitter = None
	955	if fit_type == 'simultaneous':
[acf8e4a5]	956	# for simultaneous fitting only one fitter is needed
	957	sim_fitter = Fit()
[f76bf17]	958	sim_fitter.fitter_id = self.sim_page.uid
	959	fitter_list.append(sim_fitter)
	960
	961	self.current_pg = None
	962	list_page_id = []
	963	fit_id = 0
	964	for page_id, page_info in self.page_finder.iteritems():
	965	# For simulfit (uid give with None), do for-loop
	966	# if uid is specified (singlefit), do it only on the page.
	967	if page_id in (sim_page_uid, batch_page_uid): continue
	968	if fit_type == "single" and page_id != uid: continue
	969
	970	try:
	971	if page_info.get_scheduled() == 1:
	972	page_info.nbr_residuals_computed = 0
	973	page = self.fit_panel.get_page_by_id(page_id)
	974	self.set_fit_weight(uid=page.uid,
	975	flag=page.get_weight_flag(),
	976	is2d=page._is_2D())
	977	if not page.param_toFit:
	978	msg = "No fitting parameters for %s" % page.window_caption
[934ce649]	979	evt = StatusEvent(status=msg, info="error", type="stop")
	980	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	981	return False
	982	if not page._update_paramv_on_fit():
	983	msg = "Fitting range or parameter values are"
	984	msg += " invalid in %s" % \
	985	page.window_caption
[934ce649]	986	evt = StatusEvent(status=msg, info="error", type="stop")
	987	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	988	return False
	989
	990	pars = [str(element[1]) for element in page.param_toFit]
	991	fitproblem_list = page_info.values()
	992	for fitproblem in fitproblem_list:
	993	if sim_fitter is None:
[acf8e4a5]	994	fitter = Fit()
[f76bf17]	995	fitter.fitter_id = page_id
	996	fitter_list.append(fitter)
	997	else:
	998	fitter = sim_fitter
	999	self._add_problem_to_fit(fitproblem=fitproblem,
	1000	pars=pars,
	1001	fitter=fitter,
	1002	fit_id=fit_id)
	1003	fit_id += 1
	1004	list_page_id.append(page_id)
	1005	page_info.clear_model_param()
	1006	except KeyboardInterrupt:
	1007	msg = "Fitting terminated"
[934ce649]	1008	evt = StatusEvent(status=msg, info="info", type="stop")
	1009	wx.PostEvent(self.parent, evt)
[f76bf17]	1010	return True
	1011	except:
[a3f125f0]	1012	raise
[f76bf17]	1013	msg = "Fitting error: %s" % str(sys.exc_value)
[934ce649]	1014	evt = StatusEvent(status=msg, info="error", type="stop")
	1015	wx.PostEvent(self.parent, evt)
[f76bf17]	1016	return False
	1017	## If a thread is already started, stop it
	1018	#if self.calc_fit!= None and self.calc_fit.isrunning():
	1019	# self.calc_fit.stop()
	1020	msg = "Fitting is in progress..."
	1021	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1022
[acf8e4a5]	1023	#Handler used to display fit message
[f76bf17]	1024	handler = ConsoleUpdate(parent=self.parent,
	1025	manager=self,
	1026	improvement_delta=0.1)
	1027	self._mac_sleep(0.2)
	1028
	1029	# batch fit
	1030	batch_inputs = {}
	1031	batch_outputs = {}
	1032	if fit_type == "simultaneous":
	1033	page = self.sim_page
	1034	elif fit_type == "combined_batch":
	1035	page = self.batch_page
	1036	else:
	1037	page = self.fit_panel.get_page_by_id(uid)
	1038	if page.batch_on:
	1039	calc_fit = FitThread(handler=handler,
	1040	fn=fitter_list,
	1041	pars=pars,
	1042	batch_inputs=batch_inputs,
	1043	batch_outputs=batch_outputs,
	1044	page_id=list_page_id,
	1045	completefn=self._batch_fit_complete,
	1046	reset_flag=self.batch_reset_flag)
	1047	else:
	1048	## Perform more than 1 fit at the time
	1049	calc_fit = FitThread(handler=handler,
	1050	fn=fitter_list,
	1051	batch_inputs=batch_inputs,
	1052	batch_outputs=batch_outputs,
	1053	page_id=list_page_id,
	1054	updatefn=handler.update_fit,
	1055	completefn=self._fit_completed)
	1056	#self.fit_thread_list[current_page_id] = calc_fit
	1057	self.fit_thread_list[uid] = calc_fit
	1058	calc_fit.queue()
	1059	calc_fit.ready(2.5)
	1060	msg = "Fitting is in progress..."
	1061	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1062
	1063	return True
	1064
	1065	def remove_plot(self, uid, fid=None, theory=False):
	1066	"""
	1067	remove model plot when a fit page is closed
	1068	:param uid: the id related to the fitpage to close
	1069	:param fid: the id of the fitproblem(data, model, range,etc)
	1070	"""
	1071	if uid not in self.page_finder.keys():
	1072	return
	1073	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1074	for fitproblem in fitproblemList:
	1075	data = fitproblem.get_fit_data()
	1076	model = fitproblem.get_model()
	1077	plot_id = None
	1078	if model is not None:
	1079	plot_id = data.id + model.name
	1080	if theory:
	1081	plot_id = data.id + model.name
	1082	group_id = data.group_id
	1083	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
	1084	group_id=group_id,
	1085	action='remove'))
	1086
	1087	def store_data(self, uid, data_list=None, caption=None):
	1088	"""
	1089	Recieve a list of data and store them ans well as a caption of
	1090	the fit page where they come from.
	1091	:param uid: if related to a fit page
	1092	:param data_list: list of data to fit
	1093	:param caption: caption of the window related to these data
	1094	"""
	1095	if data_list is None:
	1096	data_list = []
	1097
	1098	self.page_finder[uid].set_fit_data(data=data_list)
	1099	if caption is not None:
	1100	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1101
	1102	def on_add_new_page(self, event=None):
	1103	"""
	1104	ask fit panel to create a new empty page
	1105	"""
	1106	try:
	1107	page = self.fit_panel.add_empty_page()
	1108	# add data associated to the page created
	1109	if page != None:
[934ce649]	1110	evt = StatusEvent(status="Page Created", info="info")
	1111	wx.PostEvent(self.parent, evt)
[f76bf17]	1112	else:
	1113	msg = "Page was already Created"
[934ce649]	1114	evt = StatusEvent(status=msg, info="warning")
	1115	wx.PostEvent(self.parent, evt)
[f76bf17]	1116	except:
	1117	msg = "Creating Fit page: %s" % sys.exc_value
	1118	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	1119
	1120	def add_fit_page(self, data):
	1121	"""
	1122	given a data, ask to the fitting panel to create a new fitting page,
	1123	get this page and store it into the page_finder of this plug-in
	1124	:param data: is a list of data
	1125	"""
	1126	page = self.fit_panel.set_data(data)
	1127	# page could be None when loading state files
	1128	if page == None:
	1129	return page
	1130	#append Data1D to the panel containing its theory
	1131	#if theory already plotted
	1132	if page.uid in self.page_finder:
	1133	data = page.get_data()
	1134	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
	1135	if issubclass(data.__class__, Data2D):
	1136	data.group_id = wx.NewId()
	1137	if theory_data is not None:
	1138	group_id = str(page.uid) + " Model1D"
	1139	wx.PostEvent(self.parent,
	1140	NewPlotEvent(group_id=group_id,
	1141	action="delete"))
	1142	self.parent.update_data(prev_data=theory_data,
	1143	new_data=data)
	1144	else:
	1145	if theory_data is not None:
	1146	group_id = str(page.uid) + " Model2D"
	1147	data.group_id = theory_data.group_id
	1148	wx.PostEvent(self.parent,
	1149	NewPlotEvent(group_id=group_id,
	1150	action="delete"))
	1151	self.parent.update_data(prev_data=theory_data,
	1152	new_data=data)
	1153	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	1154	caption=page.window_caption)
	1155	if self.sim_page is not None and not self.batch_on:
	1156	self.sim_page.draw_page()
	1157	if self.batch_page is not None and self.batch_on:
	1158	self.batch_page.draw_page()
	1159
	1160	return page
	1161
	1162	def _onEVT_SLICER_PANEL(self, event):
	1163	"""
	1164	receive and event telling to update a panel with a name starting with
	1165	event.panel_name. this method update slicer panel
	1166	for a given interactor.
	1167
	1168	:param event: contains type of slicer , paramaters for updating
	1169	the panel and panel_name to find the slicer 's panel concerned.
	1170	"""
	1171	event.panel_name
	1172	for item in self.parent.panels:
	1173	name = event.panel_name
	1174	if self.parent.panels[item].window_caption.startswith(name):
	1175	self.parent.panels[item].set_slicer(event.type, event.params)
	1176
	1177	#self.parent._mgr.Update()
	1178
	1179	def _closed_fitpage(self, event):
	1180	"""
	1181	request fitpanel to close a given page when its unique data is removed
	1182	from the plot. close fitpage only when the a loaded data is removed
	1183	"""
	1184	if event is None or event.data is None:
	1185	return
	1186	if hasattr(event.data, "is_data"):
	1187	if not event.data.is_data or \
	1188	event.data.__class__.__name__ == "Data1D":
	1189	self.fit_panel.close_page_with_data(event.data)
	1190
	1191	def _reset_schedule_problem(self, value=0, uid=None):
	1192	"""
	1193	unschedule or schedule all fitproblem to be fit
	1194	"""
	1195	# case that uid is not specified
	1196	if uid == None:
	1197	for page_id in self.page_finder.keys():
	1198	self.page_finder[page_id].schedule_tofit(value)
	1199	# when uid is given
	1200	else:
	1201	if uid in self.page_finder.keys():
	1202	self.page_finder[uid].schedule_tofit(value)
	1203
	1204	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
	1205	"""
[acf8e4a5]	1206	Create and set fitter with series of data and model
[f76bf17]	1207	"""
	1208	data = fitproblem.get_fit_data()
	1209	model = fitproblem.get_model()
	1210	smearer = fitproblem.get_smearer()
	1211	qmin, qmax = fitproblem.get_range()
	1212
	1213	#Extra list of parameters and their constraints
	1214	listOfConstraint = []
	1215	param = fitproblem.get_model_param()
	1216	if len(param) > 0:
	1217	for item in param:
	1218	## check if constraint
	1219	if item[0] != None and item[1] != None:
	1220	listOfConstraint.append((item[0], item[1]))
	1221	new_model = model
	1222	fitter.set_model(new_model, fit_id, pars, data=data,
	1223	constraints=listOfConstraint)
	1224	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
	1225	qmax=qmax)
	1226	fitter.select_problem_for_fit(id=fit_id, value=1)
	1227
	1228	def _onSelect(self, event):
	1229	"""
	1230	when Select data to fit a new page is created .Its reference is
	1231	added to self.page_finder
	1232	"""
	1233	panel = self.plot_panel
	1234	if panel == None:
	1235	raise ValueError, "Fitting:_onSelect: NonType panel"
	1236	Plugin.on_perspective(self, event=event)
	1237	self.select_data(panel)
	1238
	1239	def select_data(self, panel):
	1240	"""
	1241	"""
	1242	for plottable in panel.graph.plottables:
	1243	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
	1244	data_id = panel.graph.selected_plottable
	1245	if plottable == panel.plots[data_id]:
	1246	data = plottable
	1247	self.add_fit_page(data=[data])
	1248	return
	1249	else:
	1250	data = plottable
	1251	self.add_fit_page(data=[data])
	1252
	1253	def update_fit(self, result=None, msg=""):
	1254	"""
	1255	"""
	1256	print "update_fit result", result
	1257
	1258	def _batch_fit_complete(self, result, pars, page_id,
	1259	batch_outputs, batch_inputs, elapsed=None):
	1260	"""
	1261	Display fit result in batch
[acf8e4a5]	1262	:param result: list of objects received from fitters
[f76bf17]	1263	:param pars: list of fitted parameters names
	1264	:param page_id: list of page ids which called fit function
	1265	:param elapsed: time spent at the fitting level
	1266	"""
	1267	self._mac_sleep(0.2)
	1268	uid = page_id[0]
	1269	if uid in self.fit_thread_list.keys():
	1270	del self.fit_thread_list[uid]
	1271
[373d4ee]	1272	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1273	t1 = time.time()
	1274	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1275	msg = "Fit completed on %s \n" % str_time
	1276	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1277	evt = StatusEvent(status=msg, info="info", type="stop")
	1278	wx.PostEvent(self.parent, evt)
[f76bf17]	1279
	1280	if batch_outputs is None:
	1281	batch_outputs = {}
	1282
	1283	# format batch_outputs
	1284	batch_outputs["Chi2"] = []
	1285	#Don't like these loops
	1286	# Need to create dictionary of all fitted parameters
	1287	# since the number of parameters can differ between each fit result
	1288	for list_res in result:
	1289	for res in list_res:
	1290	model, data = res.inputs[0]
	1291	if model is not None and hasattr(model, "model"):
	1292	model = model.model
	1293	#get all fittable parameters of the current model
	1294	for param in model.getParamList():
	1295	if param not in batch_outputs.keys():
	1296	batch_outputs[param] = []
	1297	for param in model.getDispParamList():
	1298	if not model.is_fittable(param) and \
	1299	param in batch_outputs.keys():
	1300	del batch_outputs[param]
	1301	# Add fitted parameters and their error
	1302	for param in res.param_list:
	1303	if param not in batch_outputs.keys():
	1304	batch_outputs[param] = []
	1305	err_param = "error on %s" % str(param)
	1306	if err_param not in batch_inputs.keys():
	1307	batch_inputs[err_param] = []
	1308	msg = ""
	1309	for list_res in result:
	1310	for res in list_res:
	1311	pid = res.fitter_id
	1312	model, data = res.inputs[0]
	1313	correct_result = False
	1314	if model is not None and hasattr(model, "model"):
	1315	model = model.model
	1316	if data is not None and hasattr(data, "sas_data"):
	1317	data = data.sas_data
	1318
	1319	is_data2d = issubclass(data.__class__, Data2D)
	1320	#check consistency of arrays
	1321	if not is_data2d:
	1322	if len(res.theory) == len(res.index[res.index]) and \
	1323	len(res.index) == len(data.y):
	1324	correct_result = True
	1325	else:
	1326	copy_data = deepcopy(data)
	1327	new_theory = copy_data.data
	1328	new_theory[res.index] = res.theory
	1329	new_theory[res.index == False] = numpy.nan
	1330	correct_result = True
	1331	#get all fittable parameters of the current model
	1332	param_list = model.getParamList()
	1333	for param in model.getDispParamList():
	1334	if not model.is_fittable(param) and \
	1335	param in param_list:
	1336	param_list.remove(param)
	1337	if not correct_result or res.fitness is None or \
	1338	not numpy.isfinite(res.fitness) or \
	1339	numpy.any(res.pvec == None) or not \
	1340	numpy.all(numpy.isfinite(res.pvec)):
	1341	data_name = str(None)
	1342	if data is not None:
	1343	data_name = str(data.name)
	1344	model_name = str(None)
	1345	if model is not None:
	1346	model_name = str(model.name)
	1347	msg += "Data %s and Model %s did not fit.\n" % (data_name,
	1348	model_name)
	1349	ERROR = numpy.NAN
	1350	cell = BatchCell()
	1351	cell.label = res.fitness
	1352	cell.value = res.fitness
	1353	batch_outputs["Chi2"].append(ERROR)
	1354	for param in param_list:
	1355	# save value of fixed parameters
	1356	if param not in res.param_list:
	1357	batch_outputs[str(param)].append(ERROR)
	1358	else:
	1359	#save only fitted values
	1360	batch_outputs[param].append(ERROR)
	1361	batch_inputs["error on %s" % str(param)].append(ERROR)
	1362	else:
[acf8e4a5]	1363	# TODO: Why sometimes res.pvec comes with numpy.float64?
	1364	# probably from scipy lmfit
[f76bf17]	1365	if res.pvec.__class__ == numpy.float64:
	1366	res.pvec = [res.pvec]
	1367
	1368	cell = BatchCell()
	1369	cell.label = res.fitness
	1370	cell.value = res.fitness
	1371	batch_outputs["Chi2"].append(cell)
	1372	# add parameters to batch_results
	1373	for param in param_list:
	1374	# save value of fixed parameters
	1375	if param not in res.param_list:
	1376	batch_outputs[str(param)].append(model.getParam(param))
	1377	else:
	1378	index = res.param_list.index(param)
	1379	#save only fitted values
	1380	batch_outputs[param].append(res.pvec[index])
	1381	if res.stderr is not None and \
	1382	len(res.stderr) == len(res.param_list):
	1383	item = res.stderr[index]
	1384	batch_inputs["error on %s" % param].append(item)
	1385	else:
	1386	batch_inputs["error on %s" % param].append('-')
	1387	model.setParam(param, res.pvec[index])
	1388	#fill the batch result with emtpy value if not in the current
	1389	#model
	1390	EMPTY = "-"
	1391	for key in batch_outputs.keys():
	1392	if key not in param_list and key not in ["Chi2", "Data"]:
	1393	batch_outputs[key].append(EMPTY)
	1394
	1395	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
	1396	batch_outputs=batch_outputs)
	1397
	1398	cpage = self.fit_panel.get_page_by_id(pid)
	1399	cpage._on_fit_complete()
	1400	self.page_finder[pid][data.id].set_result(res)
	1401	fitproblem = self.page_finder[pid][data.id]
	1402	qmin, qmax = fitproblem.get_range()
	1403	plot_result = False
	1404	if correct_result:
	1405	if not is_data2d:
	1406	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
	1407	elapsed=None,
	1408	index=res.index, model=model,
	1409	weight=None, fid=data.id,
	1410	toggle_mode_on=False, state=None,
	1411	data=data, update_chisqr=False,
	1412	source='fit', plot_result=plot_result)
	1413	else:
	1414	self._complete2D(image=new_theory, data=data,
	1415	model=model,
	1416	page_id=pid, elapsed=None,
	1417	index=res.index,
	1418	qmin=qmin,
	1419	qmax=qmax, fid=data.id, weight=None,
	1420	toggle_mode_on=False, state=None,
	1421	update_chisqr=False,
	1422	source='fit', plot_result=plot_result)
	1423	self.on_set_batch_result(page_id=pid,
	1424	fid=data.id,
	1425	batch_outputs=batch_outputs,
	1426	batch_inputs=batch_inputs)
	1427
[934ce649]	1428	evt = StatusEvent(status=msg, error="info", type="stop")
	1429	wx.PostEvent(self.parent, evt)
[f76bf17]	1430	# Remove parameters that are not shown
	1431	cpage = self.fit_panel.get_page_by_id(uid)
	1432	tbatch_outputs = {}
	1433	shownkeystr = cpage.get_copy_params()
	1434	for key in batch_outputs.keys():
	1435	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
	1436	tbatch_outputs[key] = batch_outputs[key]
	1437
	1438	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1439	batch_inputs, self.sub_menu)
	1440
	1441	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1442	"""
	1443	"""
	1444	pid = page_id
	1445	if fid not in self.page_finder[pid]:
	1446	return
	1447	fitproblem = self.page_finder[pid][fid]
	1448	index = self.page_finder[pid].nbr_residuals_computed - 1
	1449	residuals = fitproblem.get_residuals()
	1450	theory_data = fitproblem.get_theory_data()
	1451	data = fitproblem.get_fit_data()
	1452	model = fitproblem.get_model()
	1453	#fill batch result information
	1454	if "Data" not in batch_outputs.keys():
	1455	batch_outputs["Data"] = []
[d85c194]	1456	from sas.sasgui.guiframe.data_processor import BatchCell
[f76bf17]	1457	cell = BatchCell()
	1458	cell.label = data.name
	1459	cell.value = index
	1460
	1461	if theory_data != None:
	1462	#Suucessful fit
	1463	theory_data.id = wx.NewId()
	1464	theory_data.name = model.name + "[%s]" % str(data.name)
	1465	if issubclass(theory_data.__class__, Data2D):
	1466	group_id = wx.NewId()
	1467	theory_data.group_id = group_id
	1468	if group_id not in theory_data.list_group_id:
	1469	theory_data.list_group_id.append(group_id)
	1470
	1471	try:
	1472	# associate residuals plot
	1473	if issubclass(residuals.__class__, Data2D):
	1474	group_id = wx.NewId()
	1475	residuals.group_id = group_id
	1476	if group_id not in residuals.list_group_id:
	1477	residuals.list_group_id.append(group_id)
	1478	batch_outputs["Chi2"][index].object = [residuals]
	1479	except:
	1480	pass
	1481
	1482	cell.object = [data, theory_data]
	1483	batch_outputs["Data"].append(cell)
	1484	for key, value in data.meta_data.iteritems():
	1485	if key not in batch_inputs.keys():
	1486	batch_inputs[key] = []
	1487	#if key.lower().strip() != "loader":
	1488	batch_inputs[key].append(value)
	1489	param = "temperature"
	1490	if hasattr(data.sample, param):
	1491	if param not in batch_inputs.keys():
	1492	batch_inputs[param] = []
	1493	batch_inputs[param].append(data.sample.temperature)
	1494
	1495	def _fit_completed(self, result, page_id, batch_outputs,
	1496	batch_inputs=None, pars=None, elapsed=None):
	1497	"""
	1498	Display result of the fit on related panel(s).
	1499	:param result: list of object generated when fit ends
	1500	:param pars: list of names of parameters fitted
	1501	:param page_id: list of page ids which called fit function
	1502	:param elapsed: time spent at the fitting level
	1503	"""
	1504	t1 = time.time()
	1505	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1506	msg = "Fit completed on %s \n" % str_time
	1507	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1508	evt = StatusEvent(status=msg, info="info", type="stop")
	1509	wx.PostEvent(self.parent, evt)
[f76bf17]	1510	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
[373d4ee]	1511	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1512	result = result[0]
	1513	self.fit_thread_list = {}
	1514	if page_id is None:
	1515	page_id = []
	1516	## fit more than 1 model at the same time
	1517	self._mac_sleep(0.2)
	1518	try:
	1519	index = 0
[aac161f1]	1520	# Update potential simfit page(s)
	1521	if self.sim_page is not None:
	1522	self.sim_page._on_fit_complete()
	1523	if self.batch_page:
	1524	self.batch_page._on_fit_complete()
	1525	# Update all fit pages
[f76bf17]	1526	for uid in page_id:
	1527	res = result[index]
	1528	if res.fitness is None or \
	1529	not numpy.isfinite(res.fitness) or \
	1530	numpy.any(res.pvec == None) or \
	1531	not numpy.all(numpy.isfinite(res.pvec)):
	1532	msg = "Fitting did not converge!!!"
[934ce649]	1533	evt = StatusEvent(status=msg, info="warning", type="stop")
	1534	wx.PostEvent(self.parent, evt)
[373d4ee]	1535	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1536	else:
	1537	#set the panel when fit result are float not list
	1538	if res.pvec.__class__ == numpy.float64:
	1539	pvec = [res.pvec]
	1540	else:
	1541	pvec = res.pvec
	1542	if res.stderr.__class__ == numpy.float64:
	1543	stderr = [res.stderr]
	1544	else:
	1545	stderr = res.stderr
	1546	cpage = self.fit_panel.get_page_by_id(uid)
	1547	# Make sure we got all results
	1548	#(CallAfter is important to MAC)
	1549	try:
	1550	#if res != None:
	1551	wx.CallAfter(cpage.onsetValues, res.fitness,
	1552	res.param_list,
	1553	pvec, stderr)
	1554	index += 1
	1555	wx.CallAfter(cpage._on_fit_complete)
	1556	except KeyboardInterrupt:
	1557	msg = "Singular point: Fitting Stoped."
[934ce649]	1558	evt = StatusEvent(status=msg, info="info", type="stop")
	1559	wx.PostEvent(self.parent, evt)
[f76bf17]	1560	except:
	1561	msg = "Singular point: Fitting Error occurred."
[934ce649]	1562	evt = StatusEvent(status=msg, info="error", type="stop")
	1563	wx.PostEvent(self.parent, evt)
[f76bf17]	1564
	1565	except:
[e1442d4]	1566	msg = ("Fit completed but the following error occurred: %s"
	1567	% sys.exc_value)
	1568	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
[934ce649]	1569	evt = StatusEvent(status=msg, info="warning", type="stop")
	1570	wx.PostEvent(self.parent, evt)
[f76bf17]	1571
	1572	def _update_fit_button(self, page_id):
	1573	"""
	1574	Update Fit button when fit stopped
	1575
	1576	: parameter page_id: fitpage where the button is
	1577	"""
	1578	if page_id.__class__.__name__ != 'list':
	1579	page_id = [page_id]
	1580	for uid in page_id:
	1581	page = self.fit_panel.get_page_by_id(uid)
	1582	page._on_fit_complete()
	1583
	1584	def _on_show_panel(self, event):
	1585	"""
	1586	"""
	1587	pass
	1588
	1589	def on_reset_batch_flag(self, event):
	1590	"""
	1591	Set batch_reset_flag
	1592	"""
	1593	event.Skip()
	1594	if self.menu1 == None:
	1595	return
	1596	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1597	flag = menu_item.IsChecked()
	1598	if not flag:
	1599	menu_item.Check(False)
	1600	self.batch_reset_flag = True
	1601	else:
	1602	menu_item.Check(True)
	1603	self.batch_reset_flag = False
	1604
	1605	## post a message to status bar
	1606	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
[934ce649]	1607	wx.PostEvent(self.parent, StatusEvent(status=msg))
[f76bf17]	1608
	1609
	1610	def _on_slicer_event(self, event):
	1611	"""
	1612	Receive a panel as event and send it to guiframe
	1613
	1614	:param event: event containing a panel
	1615
	1616	"""
	1617	if event.panel is not None:
	1618	self.slicer_panels.append(event.panel)
	1619	# Set group ID if available
	1620	event_id = self.parent.popup_panel(event.panel)
	1621	event.panel.uid = event_id
	1622	self.mypanels.append(event.panel)
	1623
	1624	def _onclearslicer(self, event):
	1625	"""
	1626	Clear the boxslicer when close the panel associate with this slicer
	1627	"""
	1628	name = event.GetEventObject().frame.GetTitle()
	1629	for panel in self.slicer_panels:
	1630	if panel.window_caption == name:
	1631
	1632	for item in self.parent.panels:
	1633	if hasattr(self.parent.panels[item], "uid"):
	1634	if self.parent.panels[item].uid == panel.base.uid:
	1635	self.parent.panels[item].onClearSlicer(event)
	1636	#self.parent._mgr.Update()
	1637	break
	1638	break
	1639
	1640	def _on_model_panel(self, evt):
	1641	"""
	1642	react to model selection on any combo box or model menu.plot the model
	1643
	1644	:param evt: wx.combobox event
	1645
	1646	"""
	1647	model = evt.model
	1648	uid = evt.uid
	1649	qmin = evt.qmin
	1650	qmax = evt.qmax
	1651	caption = evt.caption
	1652	enable_smearer = evt.enable_smearer
	1653	if model == None:
	1654	return
	1655	if uid not in self.page_finder.keys():
	1656	return
	1657	# save the name containing the data name with the appropriate model
	1658	self.page_finder[uid].set_model(model)
	1659	self.page_finder[uid].enable_smearing(enable_smearer)
	1660	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
	1661	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1662	if self.sim_page is not None and not self.batch_on:
	1663	self.sim_page.draw_page()
	1664	if self.batch_page is not None and self.batch_on:
	1665	self.batch_page.draw_page()
	1666
	1667	def _update1D(self, x, output):
	1668	"""
	1669	Update the output of plotting model 1D
	1670	"""
	1671	msg = "Plot updating ... "
	1672	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
	1673
[c807957]	1674	def create_theory_1D(self, x, y, page_id, model, data, state,
[804fefa]	1675	data_description, data_id, dy=None):
[c807957]	1676	"""
	1677	Create a theory object associate with an existing Data1D
	1678	and add it to the data manager.
	1679	@param x: x-values of the data
	1680	@param y: y_values of the data
	1681	@param page_id: fit page ID
	1682	@param model: model used for fitting
	1683	@param data: Data1D object to create the theory for
	1684	@param state: model state
	1685	@param data_description: title to use in the data manager
	1686	@param data_id: unique data ID
	1687	"""
	1688	new_plot = Data1D(x=x, y=y)
[6a0c75d1]	1689	if dy is None:
	1690	new_plot.is_data = False
	1691	new_plot.dy = numpy.zeros(len(y))
	1692	# If this is a theory curve, pick the proper symbol to make it a curve
	1693	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	1694	else:
	1695	new_plot.is_data = True
	1696	new_plot.dy = dy
[804fefa]	1697	new_plot.interactive = True
	1698	new_plot.dx = None
	1699	new_plot.dxl = None
	1700	new_plot.dxw = None
[c807957]	1701	_yaxis, _yunit = data.get_yaxis()
	1702	_xaxis, _xunit = data.get_xaxis()
	1703	new_plot.title = data.name
	1704	new_plot.group_id = data.group_id
	1705	if new_plot.group_id == None:
	1706	new_plot.group_id = data.group_id
	1707	new_plot.id = data_id
	1708	# Find if this theory was already plotted and replace that plot given
	1709	# the same id
	1710	self.page_finder[page_id].get_theory_data(fid=data.id)
	1711
	1712	if data.is_data:
	1713	data_name = str(data.name)
	1714	else:
	1715	data_name = str(model.__class__.__name__)
	1716
	1717	new_plot.name = data_description + " [" + data_name + "]"
	1718	new_plot.xaxis(_xaxis, _xunit)
	1719	new_plot.yaxis(_yaxis, _yunit)
	1720	self.page_finder[page_id].set_theory_data(data=new_plot,
	1721	fid=data.id)
	1722	self.parent.update_theory(data_id=data.id, theory=new_plot,
	1723	state=state)
	1724	return new_plot
	1725
[f76bf17]	1726	def _complete1D(self, x, y, page_id, elapsed, index, model,
	1727	weight=None, fid=None,
	1728	toggle_mode_on=False, state=None,
	1729	data=None, update_chisqr=True,
[804fefa]	1730	source='model', plot_result=True,
	1731	unsmeared_model=None, unsmeared_data=None,
[ca4d985]	1732	unsmeared_error=None, sq_model=None, pq_model=None):
[f76bf17]	1733	"""
[c807957]	1734	Complete plotting 1D data
	1735	@param unsmeared_model: fit model, without smearing
[804fefa]	1736	@param unsmeared_data: data, rescaled to unsmeared model
[edbe974]	1737	@param unsmeared_error: data error, rescaled to unsmeared model
[f76bf17]	1738	"""
	1739	try:
	1740	numpy.nan_to_num(y)
[c807957]	1741	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
	1742	data_description=model.name,
	1743	data_id=str(page_id) + " " + data.name)
	1744	if unsmeared_model is not None:
	1745	self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
	1746	data_description=model.name + " unsmeared",
	1747	data_id=str(page_id) + " " + data.name + " unsmeared")
[f76bf17]	1748
[286c757]	1749	if unsmeared_data is not None and unsmeared_error is not None:
	1750	self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
	1751	data_description="Data unsmeared",
	1752	data_id="Data " + data.name + " unsmeared",
	1753	dy=unsmeared_error)
[ca4d985]	1754
	1755	if sq_model is not None and pq_model is not None:
	1756	self.create_theory_1D(x, sq_model, page_id, model, data, state,
	1757	data_description=model.name + " S(q)",
	1758	data_id=str(page_id) + " " + data.name + " S(q)")
	1759	self.create_theory_1D(x, pq_model, page_id, model, data, state,
	1760	data_description=model.name + " P(q)",
	1761	data_id=str(page_id) + " " + data.name + " P(q)")
	1762
[804fefa]	1763
[f76bf17]	1764	current_pg = self.fit_panel.get_page_by_id(page_id)
	1765	title = new_plot.title
	1766	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1767	if not batch_on:
	1768	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1769	title=str(title)))
	1770	elif plot_result:
	1771	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1772	if data.id == top_data_id:
	1773	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1774	title=str(title)))
	1775	caption = current_pg.window_caption
	1776	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
	1777
	1778	self.page_finder[page_id].set_theory_data(data=new_plot,
	1779	fid=data.id)
	1780	if toggle_mode_on:
	1781	wx.PostEvent(self.parent,
	1782	NewPlotEvent(group_id=str(page_id) + " Model2D",
	1783	action="Hide"))
	1784	else:
	1785	if update_chisqr:
	1786	wx.PostEvent(current_pg,
	1787	Chi2UpdateEvent(output=self._cal_chisqr(
	1788	data=data,
	1789	fid=fid,
	1790	weight=weight,
	1791	page_id=page_id,
	1792	index=index)))
	1793	else:
	1794	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1795	index=index, weight=weight)
	1796
	1797	msg = "Computation completed!"
	1798	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1799	except:
	1800	raise
	1801
[934ce649]	1802	def _calc_exception(self, etype, value, tb):
	1803	"""
	1804	Handle exception from calculator by posting it as an error.
	1805	"""
	1806	logging.error("".join(traceback.format_exception(etype, value, tb)))
	1807	msg = traceback.format_exception(etype, value, tb, limit=1)
	1808	evt = StatusEvent(status="".join(msg), type="stop", info="error")
	1809	wx.PostEvent(self.parent, evt)
	1810
[f76bf17]	1811	def _update2D(self, output, time=None):
	1812	"""
	1813	Update the output of plotting model
	1814	"""
[934ce649]	1815	msg = "Plot updating ... "
	1816	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
[f76bf17]	1817
	1818	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1819	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
	1820	update_chisqr=True, source='model', plot_result=True):
	1821	"""
	1822	Complete get the result of modelthread and create model 2D
	1823	that can be plot.
	1824	"""
	1825	numpy.nan_to_num(image)
	1826	new_plot = Data2D(image=image, err_image=data.err_data)
	1827	new_plot.name = model.name + '2d'
	1828	new_plot.title = "Analytical model 2D "
	1829	new_plot.id = str(page_id) + " " + data.name
	1830	new_plot.group_id = str(page_id) + " Model2D"
	1831	new_plot.detector = data.detector
	1832	new_plot.source = data.source
	1833	new_plot.is_data = False
	1834	new_plot.qx_data = data.qx_data
	1835	new_plot.qy_data = data.qy_data
	1836	new_plot.q_data = data.q_data
	1837	new_plot.mask = data.mask
	1838	## plot boundaries
	1839	new_plot.ymin = data.ymin
	1840	new_plot.ymax = data.ymax
	1841	new_plot.xmin = data.xmin
	1842	new_plot.xmax = data.xmax
	1843	title = data.title
	1844
	1845	new_plot.is_data = False
	1846	if data.is_data:
	1847	data_name = str(data.name)
	1848	else:
	1849	data_name = str(model.__class__.__name__) + '2d'
	1850
	1851	if len(title) > 1:
	1852	new_plot.title = "Model2D for %s " % model.name + data_name
	1853	new_plot.name = model.name + " [" + \
	1854	data_name + "]"
	1855	theory_data = deepcopy(new_plot)
	1856
	1857	self.page_finder[page_id].set_theory_data(data=theory_data,
	1858	fid=data.id)
	1859	self.parent.update_theory(data_id=data.id,
	1860	theory=new_plot,
	1861	state=state)
	1862	current_pg = self.fit_panel.get_page_by_id(page_id)
	1863	title = new_plot.title
	1864	if not source == 'fit' and plot_result:
	1865	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1866	title=title))
	1867	if toggle_mode_on:
	1868	wx.PostEvent(self.parent,
	1869	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1870	action="Hide"))
	1871	else:
	1872	# Chisqr in fitpage
	1873	if update_chisqr:
	1874	wx.PostEvent(current_pg,
	1875	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
	1876	weight=weight,
	1877	fid=fid,
	1878	page_id=page_id,
	1879	index=index)))
	1880	else:
	1881	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1882	index=index, weight=weight)
	1883	msg = "Computation completed!"
	1884	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1885
	1886	def _draw_model2D(self, model, page_id, qmin,
	1887	qmax,
	1888	data=None, smearer=None,
	1889	description=None, enable2D=False,
	1890	state=None,
	1891	fid=None,
	1892	weight=None,
	1893	toggle_mode_on=False,
	1894	update_chisqr=True, source='model'):
	1895	"""
	1896	draw model in 2D
	1897
	1898	:param model: instance of the model to draw
	1899	:param description: the description of the model
	1900	:param enable2D: when True allows to draw model 2D
	1901	:param qmin: the minimum value to draw model 2D
	1902	:param qmax: the maximum value to draw model 2D
	1903	:param qstep: the number of division of Qx and Qy of the model to draw
	1904
	1905	"""
	1906	if not enable2D:
	1907	return None
	1908	try:
	1909	from model_thread import Calc2D
	1910	## If a thread is already started, stop it
	1911	if (self.calc_2D is not None) and self.calc_2D.isrunning():
	1912	self.calc_2D.stop()
	1913	## stop just raises a flag to tell the thread to kill
	1914	## itself -- see the fix in Calc1D implemented to fix
	1915	## an actual problem. Seems the fix should also go here
	1916	## and may be the cause of other noted instabilities
	1917	##
	1918	## -PDB August 12, 2014
	1919	while self.calc_2D.isrunning():
	1920	time.sleep(0.1)
	1921	self.calc_2D = Calc2D(model=model,
[934ce649]	1922	data=data,
	1923	page_id=page_id,
	1924	smearer=smearer,
	1925	qmin=qmin,
	1926	qmax=qmax,
	1927	weight=weight,
	1928	fid=fid,
	1929	toggle_mode_on=toggle_mode_on,
	1930	state=state,
	1931	completefn=self._complete2D,
	1932	update_chisqr=update_chisqr,
	1933	exception_handler=self._calc_exception,
	1934	source=source)
[f76bf17]	1935	self.calc_2D.queue()
	1936	except:
	1937	raise
	1938
	1939	def _draw_model1D(self, model, page_id, data,
	1940	qmin, qmax, smearer=None,
	1941	state=None,
	1942	weight=None,
	1943	fid=None,
	1944	toggle_mode_on=False, update_chisqr=True, source='model',
	1945	enable1D=True):
	1946	"""
	1947	Draw model 1D from loaded data1D
	1948
	1949	:param data: loaded data
	1950	:param model: the model to plot
	1951
	1952	"""
	1953	if not enable1D:
	1954	return
	1955	try:
	1956	from model_thread import Calc1D
	1957	## If a thread is already started, stop it
	1958	if (self.calc_1D is not None) and self.calc_1D.isrunning():
	1959	self.calc_1D.stop()
	1960	## stop just raises the flag -- the thread is supposed to
	1961	## then kill itself but cannot. Paul Kienzle came up with
	1962	## this fix to prevent threads from stepping on each other
	1963	## which was causing a simple custom model to crash Sasview.
	1964	## We still don't know why the fit sometimes lauched a second
	1965	## thread -- something which should also be investigated.
	1966	## The thread approach was implemented in order to be able
	1967	## to lauch a computation in a separate thread from the GUI so
	1968	## that the GUI can still respond to user input including
	1969	## a request to stop the computation.
	1970	## It seems thus that the whole thread approach used here
	1971	## May need rethinking
	1972	##
	1973	## -PDB August 12, 2014
	1974	while self.calc_1D.isrunning():
	1975	time.sleep(0.1)
	1976	self.calc_1D = Calc1D(data=data,
	1977	model=model,
	1978	page_id=page_id,
	1979	qmin=qmin,
	1980	qmax=qmax,
	1981	smearer=smearer,
	1982	state=state,
	1983	weight=weight,
	1984	fid=fid,
	1985	toggle_mode_on=toggle_mode_on,
	1986	completefn=self._complete1D,
	1987	#updatefn = self._update1D,
	1988	update_chisqr=update_chisqr,
[934ce649]	1989	exception_handler=self._calc_exception,
[f76bf17]	1990	source=source)
	1991	self.calc_1D.queue()
	1992	except:
	1993	msg = " Error occurred when drawing %s Model 1D: " % model.name
	1994	msg += " %s" % sys.exc_value
	1995	wx.PostEvent(self.parent, StatusEvent(status=msg))
	1996
	1997	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
	1998	"""
	1999	Get handy Chisqr using the output from draw1D and 2D,
	2000	instead of calling expansive CalcChisqr in guithread
	2001	"""
	2002	try:
	2003	data_copy = deepcopy(data)
	2004	except:
	2005	return
	2006	# default chisqr
	2007	chisqr = None
	2008	#to compute chisq make sure data has valid data
	2009	# return None if data == None
	2010	if not check_data_validity(data_copy) or data_copy == None:
	2011	return chisqr
	2012
	2013	# Get data: data I, theory I, and data dI in order
	2014	if data_copy.__class__.__name__ == "Data2D":
	2015	if index == None:
	2016	index = numpy.ones(len(data_copy.data), dtype=bool)
	2017	if weight != None:
	2018	data_copy.err_data = weight
	2019	# get rid of zero error points
	2020	index = index & (data_copy.err_data != 0)
	2021	index = index & (numpy.isfinite(data_copy.data))
	2022	fn = data_copy.data[index]
	2023	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2024	if theory_data == None:
	2025	return chisqr
	2026	gn = theory_data.data[index]
	2027	en = data_copy.err_data[index]
	2028	else:
	2029	# 1 d theory from model_thread is only in the range of index
	2030	if index == None:
	2031	index = numpy.ones(len(data_copy.y), dtype=bool)
	2032	if weight != None:
	2033	data_copy.dy = weight
	2034	if data_copy.dy == None or data_copy.dy == []:
	2035	dy = numpy.ones(len(data_copy.y))
	2036	else:
[acf8e4a5]	2037	## Set consistently w/AbstractFitengine:
[f76bf17]	2038	# But this should be corrected later.
	2039	dy = deepcopy(data_copy.dy)
	2040	dy[dy == 0] = 1
	2041	fn = data_copy.y[index]
	2042
	2043	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2044	if theory_data == None:
	2045	return chisqr
	2046	gn = theory_data.y
	2047	en = dy[index]
	2048
	2049	# residual
	2050	try:
	2051	res = (fn - gn) / en
	2052	except ValueError:
	2053	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
	2054	return
	2055
	2056	residuals = res[numpy.isfinite(res)]
	2057	# get chisqr only w/finite
	2058	chisqr = numpy.average(residuals * residuals)
	2059
	2060	self._plot_residuals(page_id=page_id, data=data_copy,
	2061	fid=fid,
	2062	weight=weight, index=index)
	2063
	2064	return chisqr
	2065
	2066	def _plot_residuals(self, page_id, weight, fid=None,
	2067	data=None, index=None):
	2068	"""
	2069	Plot the residuals
	2070
	2071	:param data: data
	2072	:param index: index array (bool)
	2073	: Note: this is different from the residuals in cal_chisqr()
	2074	"""
	2075	data_copy = deepcopy(data)
	2076	# Get data: data I, theory I, and data dI in order
	2077	if data_copy.__class__.__name__ == "Data2D":
	2078	# build residuals
	2079	residuals = Data2D()
	2080	#residuals.copy_from_datainfo(data)
	2081	# Not for trunk the line below, instead use the line above
	2082	data_copy.clone_without_data(len(data_copy.data), residuals)
	2083	residuals.data = None
	2084	fn = data_copy.data
	2085	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2086	gn = theory_data.data
	2087	if weight == None:
	2088	en = data_copy.err_data
	2089	else:
	2090	en = weight
	2091	residuals.data = (fn - gn) / en
	2092	residuals.qx_data = data_copy.qx_data
	2093	residuals.qy_data = data_copy.qy_data
	2094	residuals.q_data = data_copy.q_data
	2095	residuals.err_data = numpy.ones(len(residuals.data))
	2096	residuals.xmin = min(residuals.qx_data)
	2097	residuals.xmax = max(residuals.qx_data)
	2098	residuals.ymin = min(residuals.qy_data)
	2099	residuals.ymax = max(residuals.qy_data)
	2100	residuals.q_data = data_copy.q_data
	2101	residuals.mask = data_copy.mask
	2102	residuals.scale = 'linear'
	2103	# check the lengths
	2104	if len(residuals.data) != len(residuals.q_data):
	2105	return
	2106	else:
	2107	# 1 d theory from model_thread is only in the range of index
	2108	if data_copy.dy == None or data_copy.dy == []:
	2109	dy = numpy.ones(len(data_copy.y))
	2110	else:
	2111	if weight == None:
	2112	dy = numpy.ones(len(data_copy.y))
	2113	## Set consitently w/AbstractFitengine:
	2114	## But this should be corrected later.
	2115	else:
	2116	dy = weight
	2117	dy[dy == 0] = 1
	2118	fn = data_copy.y[index]
	2119	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2120	gn = theory_data.y
	2121	en = dy[index]
	2122	# build residuals
	2123	residuals = Data1D()
	2124	try:
	2125	residuals.y = (fn - gn) / en
	2126	except:
	2127	msg = "ResidualPlot Error: different # of data points in theory"
	2128	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	2129	residuals.y = (fn - gn[index]) / en
	2130	residuals.x = data_copy.x[index]
	2131	residuals.dy = numpy.ones(len(residuals.y))
	2132	residuals.dx = None
	2133	residuals.dxl = None
	2134	residuals.dxw = None
	2135	residuals.ytransform = 'y'
	2136	# For latter scale changes
	2137	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2138	residuals.yaxis('\\rm{Residuals} ', 'normalized')
	2139	theory_name = str(theory_data.name.split()[0])
	2140	new_plot = residuals
	2141	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
	2142	str(data.name) + "]"
	2143	## allow to highlight data when plotted
	2144	new_plot.interactive = True
	2145	## when 2 data have the same id override the 1 st plotted
	2146	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
	2147	##group_id specify on which panel to plot this data
	2148	group_id = self.page_finder[page_id].get_graph_id()
	2149	if group_id == None:
	2150	group_id = data.group_id
	2151	new_plot.group_id = "res" + str(group_id)
	2152	#new_plot.is_data = True
	2153	##post data to plot
	2154	title = new_plot.name
	2155	self.page_finder[page_id].set_residuals(residuals=new_plot,
	2156	fid=data.id)
	2157	self.parent.update_theory(data_id=data.id, theory=new_plot)
	2158	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	2159	if not batch_on:
	2160	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ 0733da4

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