fitting.py @ aa4b4f05

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 aa4b4f05 was e0d9ed2, checked in by wojciech, 8 years ago
Skipping one smearing set up to avoid double Iq evaluation/compilation
Property mode set to `100755`
File size: 87.9 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"
[ec72ceb]	223	self.menu1.AppendMenu(self.id_edit, "Plugin Model Operations",
[f76bf17]	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,
[ec72ceb]	238	title='Advanced Plugin Model Editor',
[f76bf17]	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()
[ec72ceb]	304	title = "New Plugin Model Function"
[f76bf17]	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	"""
[ec72ceb]	321	custom_model = 'Plugin Models'
[f76bf17]	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()
[ec72ceb]	352	self.edit_model_menu.Append(wx_id, 'New Plugin Model',
[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,
[ec72ceb]	364	'Advanced Plugin Editor', self.edit_menu)
[f76bf17]	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,
[ec72ceb]	370	'Delete Plugin Models', self.delete_menu)
[f76bf17]	371	self.set_edit_menu_helper(owner, self.delete_custom_model)
	372
[105ef92]	373	wx_id = wx.NewId()
[ec72ceb]	374	self.edit_model_menu.Append(wx_id, 'Load Plugin Models',
[105ef92]	375	'(Re)Load all models present in user plugin_models folder')
	376	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
[bc7b5da2]	377
[f76bf17]	378	def set_edit_menu_helper(self, owner=None, menu=None):
	379	"""
	380	help for setting list of the edit model menu labels
	381	"""
	382	if menu == None:
	383	menu = self.edit_custom_model
	384	list_fnames = os.listdir(models.find_plugins_dir())
	385	list_fnames.sort()
	386	for f_item in list_fnames:
	387	name = os.path.basename(f_item)
	388	toks = os.path.splitext(name)
	389	if toks[-1] == '.py' and not toks[0] == '__init__':
	390	if menu == self.edit_custom_model:
	391	if toks[0] == 'easy_sum_of_p1_p2':
	392	continue
	393	submenu = self.edit_menu
	394	else:
	395	submenu = self.delete_menu
	396	has_file = False
	397	for item in submenu.GetMenuItems():
	398	if name == submenu.GetLabel(item.GetId()):
	399	has_file = True
	400	if not has_file:
[f21d496]	401	wx_id = wx.NewId()
	402	submenu.Append(wx_id, name)
	403	wx.EVT_MENU(owner, wx_id, menu)
[f76bf17]	404	has_file = False
	405
	406	def put_icon(self, frame):
	407	"""
	408	Put icon in the frame title bar
	409	"""
	410	if hasattr(frame, "IsIconized"):
	411	if not frame.IsIconized():
	412	try:
	413	icon = self.parent.GetIcon()
	414	frame.SetIcon(icon)
	415	except:
	416	pass
	417
	418	def on_add_sim_page(self, event):
	419	"""
	420	Create a page to access simultaneous fit option
	421	"""
[f21d496]	422	event_id = event.GetId()
[f76bf17]	423	caption = "Const & Simul Fit"
	424	page = self.sim_page
[f21d496]	425	if event_id == self.id_batchfit:
[f76bf17]	426	caption = "Combined Batch"
	427	page = self.batch_page
	428
	429	def set_focus_page(page):
	430	page.Show(True)
	431	page.Refresh()
	432	page.SetFocus()
	433	#self.parent._mgr.Update()
	434	msg = "%s already opened\n" % str(page.window_caption)
	435	wx.PostEvent(self.parent, StatusEvent(status=msg))
	436
	437	if page != None:
	438	return set_focus_page(page)
	439	if caption == "Const & Simul Fit":
	440	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	441	else:
	442	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
	443
	444	def get_context_menu(self, plotpanel=None):
	445	"""
	446	Get the context menu items available for P(r).them allow fitting option
	447	for Data2D and Data1D only.
	448
	449	:param graph: the Graph object to which we attach the context menu
	450
	451	:return: a list of menu items with call-back function
	452
	453	:note: if Data1D was generated from Theory1D
	454	the fitting option is not allowed
	455
	456	"""
	457	self.plot_panel = plotpanel
	458	graph = plotpanel.graph
	459	fit_option = "Select data for fitting"
	460	fit_hint = "Dialog with fitting parameters "
	461
	462	if graph.selected_plottable not in plotpanel.plots:
	463	return []
	464	item = plotpanel.plots[graph.selected_plottable]
	465	if item.__class__.__name__ is "Data2D":
	466	if hasattr(item, "is_data"):
	467	if item.is_data:
	468	return [[fit_option, fit_hint, self._onSelect]]
	469	else:
	470	return []
	471	return [[fit_option, fit_hint, self._onSelect]]
	472	else:
	473
	474	# if is_data is true , this in an actual data loaded
	475	#else it is a data created from a theory model
	476	if hasattr(item, "is_data"):
	477	if item.is_data:
	478	return [[fit_option, fit_hint, self._onSelect]]
	479	else:
	480	return []
	481	return [[fit_option, fit_hint, self._onSelect]]
	482	return []
	483
	484	def get_panels(self, parent):
	485	"""
	486	Create and return a list of panel objects
	487	"""
	488	self.parent = parent
	489	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
	490	# Creation of the fit panel
	491	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
	492	self.fit_panel = FitPanel(parent=self.frame, manager=self)
	493	self.frame.set_panel(self.fit_panel)
	494	self._frame_set_helper()
	495	self.on_add_new_page(event=None)
	496	#Set the manager for the main panel
	497	self.fit_panel.set_manager(self)
	498	# List of windows used for the perspective
	499	self.perspective = []
	500	self.perspective.append(self.fit_panel.window_name)
	501
	502	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
	503	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
	504	self.perspective.append(self.result_panel.window_name)
	505
	506	#index number to create random model name
	507	self.index_model = 0
	508	self.index_theory = 0
	509	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
	510	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[05228b0]	511
[243fbc0]	512	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
[05228b0]	513	if EVT_FITTER_CHANGED is not None:
	514	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
	515	self._set_fitter_label(bumps.options.FIT_CONFIG)
	516
[f76bf17]	517	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
	518	#Create reader when fitting panel are created
	519	self.state_reader = Reader(self.set_state)
	520	#append that reader to list of available reader
	521	loader = Loader()
	522	loader.associate_file_reader(".fitv", self.state_reader)
	523	#Send the fitting panel to guiframe
	524	self.mypanels.append(self.fit_panel)
	525	self.mypanels.append(self.result_panel)
	526	return self.mypanels
	527
	528	def clear_panel(self):
	529	"""
	530	"""
	531	self.fit_panel.clear_panel()
	532
	533	def delete_data(self, data):
	534	"""
	535	delete the given data from panel
	536	"""
	537	self.fit_panel.delete_data(data)
	538
	539	def set_data(self, data_list=None):
	540	"""
	541	receive a list of data to fit
	542	"""
	543	if data_list is None:
	544	data_list = []
	545	selected_data_list = []
	546	if self.batch_on:
[098f3d2]	547	self.add_fit_page(data=data_list)
[f76bf17]	548	else:
	549	if len(data_list) > MAX_NBR_DATA:
	550	from fitting_widgets import DataDialog
	551	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	552	if dlg.ShowModal() == wx.ID_OK:
	553	selected_data_list = dlg.get_data()
	554	dlg.Destroy()
	555
	556	else:
	557	selected_data_list = data_list
	558	try:
	559	group_id = wx.NewId()
	560	for data in selected_data_list:
	561	if data is not None:
	562	# 2D has no same group_id
	563	if data.__class__.__name__ == 'Data2D':
	564	group_id = wx.NewId()
	565	data.group_id = group_id
	566	if group_id not in data.list_group_id:
	567	data.list_group_id.append(group_id)
[098f3d2]	568	self.add_fit_page(data=[data])
[f76bf17]	569	except:
[098f3d2]	570	msg = "Fitting set_data: " + str(sys.exc_value)
[f76bf17]	571	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	572
	573	def set_theory(self, theory_list=None):
	574	"""
	575	"""
	576	#set the model state for a given theory_state:
	577	for item in theory_list:
	578	try:
	579	_, theory_state = item
	580	self.fit_panel.set_model_state(theory_state)
[7673ecd]	581	except Exception:
[f76bf17]	582	msg = "Fitting: cannot deal with the theory received"
[934ce649]	583	evt = StatusEvent(status=msg, info="error")
[f76bf17]	584	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
[934ce649]	585	wx.PostEvent(self.parent, evt)
[f76bf17]	586
	587	def set_state(self, state=None, datainfo=None, format=None):
	588	"""
	589	Call-back method for the fit page state reader.
	590	This method is called when a .fitv/.svs file is loaded.
	591
	592	: param state: PageState object
	593	: param datainfo: data
	594	"""
[e89aed5]	595	from pagestate import PageState
	596	from simfitpage import SimFitPageState
	597	if isinstance(state, PageState):
[f76bf17]	598	state = state.clone()
	599	self.temp_state.append(state)
[e89aed5]	600	elif isinstance(state, SimFitPageState):
	601	state.load_from_save_state(self)
[f76bf17]	602	else:
	603	self.temp_state = []
	604	# index to start with for a new set_state
	605	self.state_index = 0
	606	# state file format
	607	self.sfile_ext = format
	608
	609	self.on_set_state_helper(event=None)
	610
	611	def on_set_state_helper(self, event=None):
	612	"""
	613	Set_state_helper. This actually sets state
	614	after plotting data from state file.
	615
	616	: event: FitStateUpdateEvent called
	617	by dataloader.plot_data from guiframe
	618	"""
	619	if len(self.temp_state) == 0:
	620	if self.state_index == 0 and len(self.mypanels) <= 0 \
	621	and self.sfile_ext == '.svs':
	622	self.temp_state = []
	623	self.state_index = 0
	624	return
	625
	626	try:
	627	# Load fitting state
	628	state = self.temp_state[self.state_index]
	629	#panel state should have model selection to set_state
	630	if state.formfactorcombobox != None:
	631	#set state
	632	data = self.parent.create_gui_data(state.data)
	633	data.group_id = state.data.group_id
	634	self.parent.add_data(data_list={data.id: data})
	635	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	636	title=data.title))
	637	#need to be fix later make sure we are sendind guiframe.data
	638	#to panel
	639	state.data = data
	640	page = self.fit_panel.set_state(state)
	641	else:
	642	#just set data because set_state won't work
	643	data = self.parent.create_gui_data(state.data)
	644	data.group_id = state.data.group_id
	645	self.parent.add_data(data_list={data.id: data})
	646	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	647	title=data.title))
	648	page = self.add_fit_page([data])
	649	caption = page.window_caption
	650	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	651	caption=caption)
	652	self.mypanels.append(page)
	653
	654	# get ready for the next set_state
	655	self.state_index += 1
	656
	657	#reset state variables to default when all set_state is finished.
	658	if len(self.temp_state) == self.state_index:
	659
	660	self.temp_state = []
	661	#self.state_index = 0
	662	# Make sure the user sees the fitting panel after loading
	663	#self.parent.set_perspective(self.perspective)
	664	self.on_perspective(event=None)
	665	except:
	666	self.state_index = 0
	667	self.temp_state = []
	668	raise
	669
	670	def set_param2fit(self, uid, param2fit):
	671	"""
	672	Set the list of param names to fit for fitprobelm
	673	"""
	674	self.page_finder[uid].set_param2fit(param2fit)
	675
	676	def set_graph_id(self, uid, graph_id):
	677	"""
	678	Set graph_id for fitprobelm
	679	"""
	680	self.page_finder[uid].set_graph_id(graph_id)
	681
	682	def get_graph_id(self, uid):
	683	"""
	684	Set graph_id for fitprobelm
	685	"""
	686	return self.page_finder[uid].get_graph_id()
	687
	688	def save_fit_state(self, filepath, fitstate):
	689	"""
	690	save fit page state into file
	691	"""
	692	self.state_reader.write(filename=filepath, fitstate=fitstate)
	693
	694	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
	695	"""
	696	Set the fit weights of a given page for all
	697	its data by default. If fid is provide then set the range
	698	only for the data with fid as id
	699	:param uid: id corresponding to a fit page
	700	:param fid: id corresponding to a fit problem (data, model)
	701	:param weight: current dy data
	702	"""
[098f3d2]	703	# If we are not dealing with a specific fit problem, then
	704	# there is no point setting the weights.
	705	if fid is None:
	706	return
[f76bf17]	707	if uid in self.page_finder.keys():
	708	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
	709
	710	def set_fit_range(self, uid, qmin, qmax, fid=None):
	711	"""
	712	Set the fitting range of a given page for all
	713	its data by default. If fid is provide then set the range
	714	only for the data with fid as id
	715	:param uid: id corresponding to a fit page
	716	:param fid: id corresponding to a fit problem (data, model)
	717	:param qmin: minimum value of the fit range
	718	:param qmax: maximum value of the fit range
	719	"""
	720	if uid in self.page_finder.keys():
	721	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	722
	723	def schedule_for_fit(self, value=0, uid=None):
	724	"""
	725	Set the fit problem field to 0 or 1 to schedule that problem to fit.
	726	Schedule the specified fitproblem or get the fit problem related to
	727	the current page and set value.
	728	:param value: integer 0 or 1
	729	:param uid: the id related to a page contaning fitting information
	730	"""
	731	if uid in self.page_finder.keys():
	732	self.page_finder[uid].schedule_tofit(value)
	733
	734	def get_page_finder(self):
	735	"""
	736	return self.page_finder used also by simfitpage.py
	737	"""
	738	return self.page_finder
	739
	740	def set_page_finder(self, modelname, names, values):
	741	"""
	742	Used by simfitpage.py to reset a parameter given the string constrainst.
	743
	744	:param modelname: the name ot the model for with the parameter
	745	has to reset
	746	:param value: can be a string in this case.
	747	:param names: the paramter name
	748	"""
	749	sim_page_id = self.sim_page.uid
	750	for uid, value in self.page_finder.iteritems():
	751	if uid != sim_page_id and uid != self.batch_page.uid:
[f21d496]	752	model_list = value.get_model()
	753	model = model_list[0]
[f76bf17]	754	if model.name == modelname:
	755	value.set_model_param(names, values)
	756	break
	757
	758	def split_string(self, item):
	759	"""
	760	receive a word containing dot and split it. used to split parameterset
	761	name into model name and parameter name example: ::
	762
	763	paramaterset (item) = M1.A
	764	Will return model_name = M1 , parameter name = A
	765
	766	"""
	767	if item.find(".") >= 0:
	768	param_names = re.split("\.", item)
	769	model_name = param_names[0]
	770	##Assume max len is 3; eg., M0.radius.width
	771	if len(param_names) == 3:
	772	param_name = param_names[1] + "." + param_names[2]
	773	else:
	774	param_name = param_names[1]
	775	return model_name, param_name
	776
	777	def on_bumps_options(self, event=None):
[9776c82]	778	"""
	779	Open the bumps options panel.
	780	"""
[05228b0]	781	show_fit_config(self.parent, help=self.on_help)
	782
	783	def on_fitter_changed(self, event):
	784	self._set_fitter_label(event.config)
	785
	786	def _set_fitter_label(self, config):
	787	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
	788	+ " - Active Fitting Optimizer: "
	789	+ config.selected_name)
[7945367]	790
	791	def on_help(self, algorithm_id):
[86b049b]	792	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
[7945367]	793	_anchor = "#fit-"+algorithm_id
[6f16e25]	794	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
[7945367]	795
[f76bf17]	796
[9776c82]	797	def on_fit_results(self, event=None):
	798	"""
	799	Make the Fit Results panel visible.
	800	"""
	801	self.result_frame.Show()
	802	self.result_frame.Raise()
	803
[f76bf17]	804	def stop_fit(self, uid):
	805	"""
[acf8e4a5]	806	Stop the fit
[f76bf17]	807	"""
	808	if uid in self.fit_thread_list.keys():
	809	calc_fit = self.fit_thread_list[uid]
	810	if calc_fit is not None and calc_fit.isrunning():
	811	calc_fit.stop()
	812	msg = "Fit stop!"
	813	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	814	del self.fit_thread_list[uid]
	815	#set the fit button label of page when fit stop is trigger from
	816	#simultaneous fit pane
	817	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	818	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	819	if sim_flag or batch_flag:
	820	for uid, value in self.page_finder.iteritems():
	821	if value.get_scheduled() == 1:
	822	if uid in self.fit_panel.opened_pages.keys():
	823	panel = self.fit_panel.opened_pages[uid]
	824	panel._on_fit_complete()
	825
	826	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	827	enable_smearer=False):
	828	"""
	829	Get a smear object and store it to a fit problem of fid as id. If proper
	830	flag is enable , will plot the theory with smearing information.
	831
	832	:param smearer: smear object to allow smearing data of id fid
	833	:param enable_smearer: Define whether or not all (data, model) contained
	834	in the structure of id uid will be smeared before fitting.
	835	:param qmin: the maximum value of the theory plotting range
	836	:param qmax: the maximum value of the theory plotting range
	837	:param draw: Determine if the theory needs to be plot
	838	"""
	839	if uid not in self.page_finder.keys():
	840	return
	841	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	842	self.page_finder[uid].set_smearer(smearer, fid=fid)
	843	if draw:
	844	## draw model 1D with smeared data
	845	data = self.page_finder[uid].get_fit_data(fid=fid)
	846	if data is None:
	847	msg = "set_mearer requires at least data.\n"
	848	msg += "Got data = %s .\n" % str(data)
	849	return
	850	#raise ValueError, msg
	851	model = self.page_finder[uid].get_model(fid=fid)
	852	if model is None:
	853	return
	854	enable1D = issubclass(data.__class__, Data1D)
	855	enable2D = issubclass(data.__class__, Data2D)
	856	## if user has already selected a model to plot
	857	## redraw the model with data smeared
	858	smear = self.page_finder[uid].get_smearer(fid=fid)
	859
	860	# compute weight for the current data
	861	weight = self.page_finder[uid].get_weight(fid=fid)
	862
	863	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
	864	enable1D=enable1D, enable2D=enable2D,
	865	qmin=qmin, qmax=qmax, weight=weight)
	866
	867	def _mac_sleep(self, sec=0.2):
	868	"""
	869	Give sleep to MAC
	870	"""
	871	if ON_MAC:
	872	time.sleep(sec)
	873
	874	def draw_model(self, model, page_id, data=None, smearer=None,
	875	enable1D=True, enable2D=False,
	876	state=None,
	877	fid=None,
	878	toggle_mode_on=False,
	879	qmin=None, qmax=None,
	880	update_chisqr=True, weight=None, source='model'):
	881	"""
	882	Draw model.
	883
	884	:param model: the model to draw
	885	:param name: the name of the model to draw
	886	:param data: the data on which the model is based to be drawn
	887	:param description: model's description
	888	:param enable1D: if true enable drawing model 1D
	889	:param enable2D: if true enable drawing model 2D
	890	:param qmin: Range's minimum value to draw model
	891	:param qmax: Range's maximum value to draw model
	892	:param qstep: number of step to divide the x and y-axis
	893	:param update_chisqr: update chisqr [bool]
	894
	895	"""
	896	#self.weight = weight
	897	if issubclass(data.__class__, Data1D) or not enable2D:
	898	## draw model 1D with no loaded data
	899	self._draw_model1D(model=model,
	900	data=data,
	901	page_id=page_id,
	902	enable1D=enable1D,
	903	smearer=smearer,
	904	qmin=qmin,
	905	qmax=qmax,
	906	fid=fid,
	907	weight=weight,
	908	toggle_mode_on=toggle_mode_on,
	909	state=state,
	910	update_chisqr=update_chisqr,
	911	source=source)
	912	else:
	913	## draw model 2D with no initial data
	914	self._draw_model2D(model=model,
	915	page_id=page_id,
	916	data=data,
	917	enable2D=enable2D,
	918	smearer=smearer,
	919	qmin=qmin,
	920	qmax=qmax,
	921	fid=fid,
	922	weight=weight,
	923	state=state,
	924	toggle_mode_on=toggle_mode_on,
	925	update_chisqr=update_chisqr,
	926	source=source)
	927
	928	def onFit(self, uid):
	929	"""
	930	Get series of data, model, associates parameters and range and send then
[acf8e4a5]	931	to series of fitters. Fit data and model, display result to
[f76bf17]	932	corresponding panels.
	933	:param uid: id related to the panel currently calling this fit function.
	934	"""
	935	if uid is None: raise RuntimeError("no page to fit") # Should never happen
	936
	937	sim_page_uid = getattr(self.sim_page, 'uid', None)
	938	batch_page_uid = getattr(self.batch_page, 'uid', None)
	939
	940	if uid == sim_page_uid:
	941	fit_type = 'simultaneous'
	942	elif uid == batch_page_uid:
	943	fit_type = 'combined_batch'
	944	else:
	945	fit_type = 'single'
	946
	947	fitter_list = []
	948	sim_fitter = None
	949	if fit_type == 'simultaneous':
[acf8e4a5]	950	# for simultaneous fitting only one fitter is needed
	951	sim_fitter = Fit()
[f76bf17]	952	sim_fitter.fitter_id = self.sim_page.uid
	953	fitter_list.append(sim_fitter)
	954
	955	self.current_pg = None
	956	list_page_id = []
	957	fit_id = 0
	958	for page_id, page_info in self.page_finder.iteritems():
	959	# For simulfit (uid give with None), do for-loop
	960	# if uid is specified (singlefit), do it only on the page.
	961	if page_id in (sim_page_uid, batch_page_uid): continue
	962	if fit_type == "single" and page_id != uid: continue
	963
	964	try:
	965	if page_info.get_scheduled() == 1:
	966	page_info.nbr_residuals_computed = 0
	967	page = self.fit_panel.get_page_by_id(page_id)
	968	self.set_fit_weight(uid=page.uid,
	969	flag=page.get_weight_flag(),
	970	is2d=page._is_2D())
	971	if not page.param_toFit:
	972	msg = "No fitting parameters for %s" % page.window_caption
[934ce649]	973	evt = StatusEvent(status=msg, info="error", type="stop")
	974	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	975	return False
	976	if not page._update_paramv_on_fit():
	977	msg = "Fitting range or parameter values are"
	978	msg += " invalid in %s" % \
	979	page.window_caption
[934ce649]	980	evt = StatusEvent(status=msg, info="error", type="stop")
	981	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	982	return False
	983
	984	pars = [str(element[1]) for element in page.param_toFit]
	985	fitproblem_list = page_info.values()
	986	for fitproblem in fitproblem_list:
	987	if sim_fitter is None:
[acf8e4a5]	988	fitter = Fit()
[f76bf17]	989	fitter.fitter_id = page_id
	990	fitter_list.append(fitter)
	991	else:
	992	fitter = sim_fitter
	993	self._add_problem_to_fit(fitproblem=fitproblem,
	994	pars=pars,
	995	fitter=fitter,
	996	fit_id=fit_id)
	997	fit_id += 1
	998	list_page_id.append(page_id)
	999	page_info.clear_model_param()
	1000	except KeyboardInterrupt:
	1001	msg = "Fitting terminated"
[934ce649]	1002	evt = StatusEvent(status=msg, info="info", type="stop")
	1003	wx.PostEvent(self.parent, evt)
[f76bf17]	1004	return True
	1005	except:
[a3f125f0]	1006	raise
[f76bf17]	1007	msg = "Fitting error: %s" % str(sys.exc_value)
[934ce649]	1008	evt = StatusEvent(status=msg, info="error", type="stop")
	1009	wx.PostEvent(self.parent, evt)
[f76bf17]	1010	return False
	1011	## If a thread is already started, stop it
	1012	#if self.calc_fit!= None and self.calc_fit.isrunning():
	1013	# self.calc_fit.stop()
	1014	msg = "Fitting is in progress..."
	1015	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1016
[acf8e4a5]	1017	#Handler used to display fit message
[f76bf17]	1018	handler = ConsoleUpdate(parent=self.parent,
	1019	manager=self,
	1020	improvement_delta=0.1)
	1021	self._mac_sleep(0.2)
	1022
	1023	# batch fit
	1024	batch_inputs = {}
	1025	batch_outputs = {}
	1026	if fit_type == "simultaneous":
	1027	page = self.sim_page
	1028	elif fit_type == "combined_batch":
	1029	page = self.batch_page
	1030	else:
	1031	page = self.fit_panel.get_page_by_id(uid)
	1032	if page.batch_on:
	1033	calc_fit = FitThread(handler=handler,
	1034	fn=fitter_list,
	1035	pars=pars,
	1036	batch_inputs=batch_inputs,
	1037	batch_outputs=batch_outputs,
	1038	page_id=list_page_id,
	1039	completefn=self._batch_fit_complete,
	1040	reset_flag=self.batch_reset_flag)
	1041	else:
	1042	## Perform more than 1 fit at the time
	1043	calc_fit = FitThread(handler=handler,
	1044	fn=fitter_list,
	1045	batch_inputs=batch_inputs,
	1046	batch_outputs=batch_outputs,
	1047	page_id=list_page_id,
	1048	updatefn=handler.update_fit,
	1049	completefn=self._fit_completed)
	1050	#self.fit_thread_list[current_page_id] = calc_fit
	1051	self.fit_thread_list[uid] = calc_fit
	1052	calc_fit.queue()
	1053	calc_fit.ready(2.5)
	1054	msg = "Fitting is in progress..."
	1055	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1056
	1057	return True
	1058
	1059	def remove_plot(self, uid, fid=None, theory=False):
	1060	"""
	1061	remove model plot when a fit page is closed
	1062	:param uid: the id related to the fitpage to close
	1063	:param fid: the id of the fitproblem(data, model, range,etc)
	1064	"""
	1065	if uid not in self.page_finder.keys():
	1066	return
	1067	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1068	for fitproblem in fitproblemList:
	1069	data = fitproblem.get_fit_data()
	1070	model = fitproblem.get_model()
	1071	plot_id = None
	1072	if model is not None:
	1073	plot_id = data.id + model.name
	1074	if theory:
	1075	plot_id = data.id + model.name
	1076	group_id = data.group_id
	1077	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
	1078	group_id=group_id,
	1079	action='remove'))
	1080
	1081	def store_data(self, uid, data_list=None, caption=None):
	1082	"""
	1083	Recieve a list of data and store them ans well as a caption of
	1084	the fit page where they come from.
	1085	:param uid: if related to a fit page
	1086	:param data_list: list of data to fit
	1087	:param caption: caption of the window related to these data
	1088	"""
	1089	if data_list is None:
	1090	data_list = []
	1091
	1092	self.page_finder[uid].set_fit_data(data=data_list)
	1093	if caption is not None:
	1094	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1095
	1096	def on_add_new_page(self, event=None):
	1097	"""
	1098	ask fit panel to create a new empty page
	1099	"""
	1100	try:
	1101	page = self.fit_panel.add_empty_page()
	1102	# add data associated to the page created
	1103	if page != None:
[934ce649]	1104	evt = StatusEvent(status="Page Created", info="info")
	1105	wx.PostEvent(self.parent, evt)
[f76bf17]	1106	else:
	1107	msg = "Page was already Created"
[934ce649]	1108	evt = StatusEvent(status=msg, info="warning")
	1109	wx.PostEvent(self.parent, evt)
[f76bf17]	1110	except:
	1111	msg = "Creating Fit page: %s" % sys.exc_value
	1112	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	1113
	1114	def add_fit_page(self, data):
	1115	"""
	1116	given a data, ask to the fitting panel to create a new fitting page,
	1117	get this page and store it into the page_finder of this plug-in
	1118	:param data: is a list of data
	1119	"""
	1120	page = self.fit_panel.set_data(data)
	1121	# page could be None when loading state files
	1122	if page == None:
	1123	return page
	1124	#append Data1D to the panel containing its theory
	1125	#if theory already plotted
	1126	if page.uid in self.page_finder:
	1127	data = page.get_data()
	1128	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
	1129	if issubclass(data.__class__, Data2D):
	1130	data.group_id = wx.NewId()
	1131	if theory_data is not None:
	1132	group_id = str(page.uid) + " Model1D"
	1133	wx.PostEvent(self.parent,
	1134	NewPlotEvent(group_id=group_id,
	1135	action="delete"))
	1136	self.parent.update_data(prev_data=theory_data,
	1137	new_data=data)
	1138	else:
	1139	if theory_data is not None:
	1140	group_id = str(page.uid) + " Model2D"
	1141	data.group_id = theory_data.group_id
	1142	wx.PostEvent(self.parent,
	1143	NewPlotEvent(group_id=group_id,
	1144	action="delete"))
	1145	self.parent.update_data(prev_data=theory_data,
	1146	new_data=data)
	1147	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	1148	caption=page.window_caption)
	1149	if self.sim_page is not None and not self.batch_on:
	1150	self.sim_page.draw_page()
	1151	if self.batch_page is not None and self.batch_on:
	1152	self.batch_page.draw_page()
	1153
	1154	return page
	1155
	1156	def _onEVT_SLICER_PANEL(self, event):
	1157	"""
	1158	receive and event telling to update a panel with a name starting with
	1159	event.panel_name. this method update slicer panel
	1160	for a given interactor.
	1161
	1162	:param event: contains type of slicer , paramaters for updating
	1163	the panel and panel_name to find the slicer 's panel concerned.
	1164	"""
	1165	event.panel_name
	1166	for item in self.parent.panels:
	1167	name = event.panel_name
	1168	if self.parent.panels[item].window_caption.startswith(name):
	1169	self.parent.panels[item].set_slicer(event.type, event.params)
	1170
	1171	#self.parent._mgr.Update()
	1172
	1173	def _closed_fitpage(self, event):
	1174	"""
	1175	request fitpanel to close a given page when its unique data is removed
	1176	from the plot. close fitpage only when the a loaded data is removed
	1177	"""
	1178	if event is None or event.data is None:
	1179	return
	1180	if hasattr(event.data, "is_data"):
	1181	if not event.data.is_data or \
	1182	event.data.__class__.__name__ == "Data1D":
	1183	self.fit_panel.close_page_with_data(event.data)
	1184
	1185	def _reset_schedule_problem(self, value=0, uid=None):
	1186	"""
	1187	unschedule or schedule all fitproblem to be fit
	1188	"""
	1189	# case that uid is not specified
	1190	if uid == None:
	1191	for page_id in self.page_finder.keys():
	1192	self.page_finder[page_id].schedule_tofit(value)
	1193	# when uid is given
	1194	else:
	1195	if uid in self.page_finder.keys():
	1196	self.page_finder[uid].schedule_tofit(value)
	1197
	1198	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
	1199	"""
[acf8e4a5]	1200	Create and set fitter with series of data and model
[f76bf17]	1201	"""
	1202	data = fitproblem.get_fit_data()
	1203	model = fitproblem.get_model()
	1204	smearer = fitproblem.get_smearer()
	1205	qmin, qmax = fitproblem.get_range()
	1206
	1207	#Extra list of parameters and their constraints
	1208	listOfConstraint = []
	1209	param = fitproblem.get_model_param()
	1210	if len(param) > 0:
	1211	for item in param:
	1212	## check if constraint
	1213	if item[0] != None and item[1] != None:
	1214	listOfConstraint.append((item[0], item[1]))
	1215	new_model = model
	1216	fitter.set_model(new_model, fit_id, pars, data=data,
	1217	constraints=listOfConstraint)
	1218	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
	1219	qmax=qmax)
	1220	fitter.select_problem_for_fit(id=fit_id, value=1)
	1221
	1222	def _onSelect(self, event):
	1223	"""
	1224	when Select data to fit a new page is created .Its reference is
	1225	added to self.page_finder
	1226	"""
	1227	panel = self.plot_panel
	1228	if panel == None:
	1229	raise ValueError, "Fitting:_onSelect: NonType panel"
	1230	Plugin.on_perspective(self, event=event)
	1231	self.select_data(panel)
	1232
	1233	def select_data(self, panel):
	1234	"""
	1235	"""
	1236	for plottable in panel.graph.plottables:
	1237	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
	1238	data_id = panel.graph.selected_plottable
	1239	if plottable == panel.plots[data_id]:
	1240	data = plottable
	1241	self.add_fit_page(data=[data])
	1242	return
	1243	else:
	1244	data = plottable
	1245	self.add_fit_page(data=[data])
	1246
	1247	def update_fit(self, result=None, msg=""):
	1248	"""
	1249	"""
	1250	print "update_fit result", result
	1251
	1252	def _batch_fit_complete(self, result, pars, page_id,
	1253	batch_outputs, batch_inputs, elapsed=None):
	1254	"""
	1255	Display fit result in batch
[acf8e4a5]	1256	:param result: list of objects received from fitters
[f76bf17]	1257	:param pars: list of fitted parameters names
	1258	:param page_id: list of page ids which called fit function
	1259	:param elapsed: time spent at the fitting level
	1260	"""
	1261	self._mac_sleep(0.2)
	1262	uid = page_id[0]
	1263	if uid in self.fit_thread_list.keys():
	1264	del self.fit_thread_list[uid]
	1265
[373d4ee]	1266	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1267	t1 = time.time()
	1268	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1269	msg = "Fit completed on %s \n" % str_time
	1270	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1271	evt = StatusEvent(status=msg, info="info", type="stop")
	1272	wx.PostEvent(self.parent, evt)
[f76bf17]	1273
	1274	if batch_outputs is None:
	1275	batch_outputs = {}
	1276
	1277	# format batch_outputs
	1278	batch_outputs["Chi2"] = []
	1279	#Don't like these loops
	1280	# Need to create dictionary of all fitted parameters
	1281	# since the number of parameters can differ between each fit result
	1282	for list_res in result:
	1283	for res in list_res:
	1284	model, data = res.inputs[0]
	1285	if model is not None and hasattr(model, "model"):
	1286	model = model.model
	1287	#get all fittable parameters of the current model
	1288	for param in model.getParamList():
	1289	if param not in batch_outputs.keys():
	1290	batch_outputs[param] = []
	1291	for param in model.getDispParamList():
	1292	if not model.is_fittable(param) and \
	1293	param in batch_outputs.keys():
	1294	del batch_outputs[param]
	1295	# Add fitted parameters and their error
	1296	for param in res.param_list:
	1297	if param not in batch_outputs.keys():
	1298	batch_outputs[param] = []
	1299	err_param = "error on %s" % str(param)
	1300	if err_param not in batch_inputs.keys():
	1301	batch_inputs[err_param] = []
	1302	msg = ""
	1303	for list_res in result:
	1304	for res in list_res:
	1305	pid = res.fitter_id
	1306	model, data = res.inputs[0]
	1307	correct_result = False
	1308	if model is not None and hasattr(model, "model"):
	1309	model = model.model
	1310	if data is not None and hasattr(data, "sas_data"):
	1311	data = data.sas_data
	1312
	1313	is_data2d = issubclass(data.__class__, Data2D)
	1314	#check consistency of arrays
	1315	if not is_data2d:
	1316	if len(res.theory) == len(res.index[res.index]) and \
	1317	len(res.index) == len(data.y):
	1318	correct_result = True
	1319	else:
	1320	copy_data = deepcopy(data)
	1321	new_theory = copy_data.data
	1322	new_theory[res.index] = res.theory
	1323	new_theory[res.index == False] = numpy.nan
	1324	correct_result = True
	1325	#get all fittable parameters of the current model
	1326	param_list = model.getParamList()
	1327	for param in model.getDispParamList():
	1328	if not model.is_fittable(param) and \
	1329	param in param_list:
	1330	param_list.remove(param)
	1331	if not correct_result or res.fitness is None or \
	1332	not numpy.isfinite(res.fitness) or \
	1333	numpy.any(res.pvec == None) or not \
	1334	numpy.all(numpy.isfinite(res.pvec)):
	1335	data_name = str(None)
	1336	if data is not None:
	1337	data_name = str(data.name)
	1338	model_name = str(None)
	1339	if model is not None:
	1340	model_name = str(model.name)
	1341	msg += "Data %s and Model %s did not fit.\n" % (data_name,
	1342	model_name)
	1343	ERROR = numpy.NAN
	1344	cell = BatchCell()
	1345	cell.label = res.fitness
	1346	cell.value = res.fitness
	1347	batch_outputs["Chi2"].append(ERROR)
	1348	for param in param_list:
	1349	# save value of fixed parameters
	1350	if param not in res.param_list:
	1351	batch_outputs[str(param)].append(ERROR)
	1352	else:
	1353	#save only fitted values
	1354	batch_outputs[param].append(ERROR)
	1355	batch_inputs["error on %s" % str(param)].append(ERROR)
	1356	else:
[acf8e4a5]	1357	# TODO: Why sometimes res.pvec comes with numpy.float64?
	1358	# probably from scipy lmfit
[f76bf17]	1359	if res.pvec.__class__ == numpy.float64:
	1360	res.pvec = [res.pvec]
	1361
	1362	cell = BatchCell()
	1363	cell.label = res.fitness
	1364	cell.value = res.fitness
	1365	batch_outputs["Chi2"].append(cell)
	1366	# add parameters to batch_results
	1367	for param in param_list:
	1368	# save value of fixed parameters
	1369	if param not in res.param_list:
	1370	batch_outputs[str(param)].append(model.getParam(param))
	1371	else:
	1372	index = res.param_list.index(param)
	1373	#save only fitted values
	1374	batch_outputs[param].append(res.pvec[index])
	1375	if res.stderr is not None and \
	1376	len(res.stderr) == len(res.param_list):
	1377	item = res.stderr[index]
	1378	batch_inputs["error on %s" % param].append(item)
	1379	else:
	1380	batch_inputs["error on %s" % param].append('-')
	1381	model.setParam(param, res.pvec[index])
	1382	#fill the batch result with emtpy value if not in the current
	1383	#model
	1384	EMPTY = "-"
	1385	for key in batch_outputs.keys():
	1386	if key not in param_list and key not in ["Chi2", "Data"]:
	1387	batch_outputs[key].append(EMPTY)
	1388
	1389	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
	1390	batch_outputs=batch_outputs)
	1391
	1392	cpage = self.fit_panel.get_page_by_id(pid)
	1393	cpage._on_fit_complete()
	1394	self.page_finder[pid][data.id].set_result(res)
	1395	fitproblem = self.page_finder[pid][data.id]
	1396	qmin, qmax = fitproblem.get_range()
	1397	plot_result = False
	1398	if correct_result:
	1399	if not is_data2d:
	1400	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
	1401	elapsed=None,
	1402	index=res.index, model=model,
	1403	weight=None, fid=data.id,
	1404	toggle_mode_on=False, state=None,
	1405	data=data, update_chisqr=False,
	1406	source='fit', plot_result=plot_result)
	1407	else:
	1408	self._complete2D(image=new_theory, data=data,
	1409	model=model,
	1410	page_id=pid, elapsed=None,
	1411	index=res.index,
	1412	qmin=qmin,
	1413	qmax=qmax, fid=data.id, weight=None,
	1414	toggle_mode_on=False, state=None,
	1415	update_chisqr=False,
	1416	source='fit', plot_result=plot_result)
	1417	self.on_set_batch_result(page_id=pid,
	1418	fid=data.id,
	1419	batch_outputs=batch_outputs,
	1420	batch_inputs=batch_inputs)
	1421
[934ce649]	1422	evt = StatusEvent(status=msg, error="info", type="stop")
	1423	wx.PostEvent(self.parent, evt)
[f76bf17]	1424	# Remove parameters that are not shown
	1425	cpage = self.fit_panel.get_page_by_id(uid)
	1426	tbatch_outputs = {}
	1427	shownkeystr = cpage.get_copy_params()
	1428	for key in batch_outputs.keys():
	1429	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
	1430	tbatch_outputs[key] = batch_outputs[key]
	1431
	1432	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1433	batch_inputs, self.sub_menu)
	1434
	1435	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1436	"""
	1437	"""
	1438	pid = page_id
	1439	if fid not in self.page_finder[pid]:
	1440	return
	1441	fitproblem = self.page_finder[pid][fid]
	1442	index = self.page_finder[pid].nbr_residuals_computed - 1
	1443	residuals = fitproblem.get_residuals()
	1444	theory_data = fitproblem.get_theory_data()
	1445	data = fitproblem.get_fit_data()
	1446	model = fitproblem.get_model()
	1447	#fill batch result information
	1448	if "Data" not in batch_outputs.keys():
	1449	batch_outputs["Data"] = []
[d85c194]	1450	from sas.sasgui.guiframe.data_processor import BatchCell
[f76bf17]	1451	cell = BatchCell()
	1452	cell.label = data.name
	1453	cell.value = index
	1454
	1455	if theory_data != None:
	1456	#Suucessful fit
	1457	theory_data.id = wx.NewId()
	1458	theory_data.name = model.name + "[%s]" % str(data.name)
	1459	if issubclass(theory_data.__class__, Data2D):
	1460	group_id = wx.NewId()
	1461	theory_data.group_id = group_id
	1462	if group_id not in theory_data.list_group_id:
	1463	theory_data.list_group_id.append(group_id)
	1464
	1465	try:
	1466	# associate residuals plot
	1467	if issubclass(residuals.__class__, Data2D):
	1468	group_id = wx.NewId()
	1469	residuals.group_id = group_id
	1470	if group_id not in residuals.list_group_id:
	1471	residuals.list_group_id.append(group_id)
	1472	batch_outputs["Chi2"][index].object = [residuals]
	1473	except:
	1474	pass
	1475
	1476	cell.object = [data, theory_data]
	1477	batch_outputs["Data"].append(cell)
	1478	for key, value in data.meta_data.iteritems():
	1479	if key not in batch_inputs.keys():
	1480	batch_inputs[key] = []
	1481	#if key.lower().strip() != "loader":
	1482	batch_inputs[key].append(value)
	1483	param = "temperature"
	1484	if hasattr(data.sample, param):
	1485	if param not in batch_inputs.keys():
	1486	batch_inputs[param] = []
	1487	batch_inputs[param].append(data.sample.temperature)
	1488
	1489	def _fit_completed(self, result, page_id, batch_outputs,
	1490	batch_inputs=None, pars=None, elapsed=None):
	1491	"""
	1492	Display result of the fit on related panel(s).
	1493	:param result: list of object generated when fit ends
	1494	:param pars: list of names of parameters fitted
	1495	:param page_id: list of page ids which called fit function
	1496	:param elapsed: time spent at the fitting level
	1497	"""
	1498	t1 = time.time()
	1499	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1500	msg = "Fit completed on %s \n" % str_time
	1501	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1502	evt = StatusEvent(status=msg, info="info", type="stop")
	1503	wx.PostEvent(self.parent, evt)
[f76bf17]	1504	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
[373d4ee]	1505	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1506	result = result[0]
	1507	self.fit_thread_list = {}
	1508	if page_id is None:
	1509	page_id = []
	1510	## fit more than 1 model at the same time
	1511	self._mac_sleep(0.2)
	1512	try:
	1513	index = 0
[aac161f1]	1514	# Update potential simfit page(s)
	1515	if self.sim_page is not None:
	1516	self.sim_page._on_fit_complete()
	1517	if self.batch_page:
	1518	self.batch_page._on_fit_complete()
	1519	# Update all fit pages
[f76bf17]	1520	for uid in page_id:
	1521	res = result[index]
	1522	if res.fitness is None or \
	1523	not numpy.isfinite(res.fitness) or \
	1524	numpy.any(res.pvec == None) or \
	1525	not numpy.all(numpy.isfinite(res.pvec)):
	1526	msg = "Fitting did not converge!!!"
[934ce649]	1527	evt = StatusEvent(status=msg, info="warning", type="stop")
	1528	wx.PostEvent(self.parent, evt)
[373d4ee]	1529	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1530	else:
	1531	#set the panel when fit result are float not list
	1532	if res.pvec.__class__ == numpy.float64:
	1533	pvec = [res.pvec]
	1534	else:
	1535	pvec = res.pvec
	1536	if res.stderr.__class__ == numpy.float64:
	1537	stderr = [res.stderr]
	1538	else:
	1539	stderr = res.stderr
	1540	cpage = self.fit_panel.get_page_by_id(uid)
	1541	# Make sure we got all results
	1542	#(CallAfter is important to MAC)
	1543	try:
	1544	#if res != None:
	1545	wx.CallAfter(cpage.onsetValues, res.fitness,
	1546	res.param_list,
	1547	pvec, stderr)
	1548	index += 1
	1549	wx.CallAfter(cpage._on_fit_complete)
	1550	except KeyboardInterrupt:
	1551	msg = "Singular point: Fitting Stoped."
[934ce649]	1552	evt = StatusEvent(status=msg, info="info", type="stop")
	1553	wx.PostEvent(self.parent, evt)
[f76bf17]	1554	except:
	1555	msg = "Singular point: Fitting Error occurred."
[934ce649]	1556	evt = StatusEvent(status=msg, info="error", type="stop")
	1557	wx.PostEvent(self.parent, evt)
[f76bf17]	1558
	1559	except:
[e1442d4]	1560	msg = ("Fit completed but the following error occurred: %s"
	1561	% sys.exc_value)
	1562	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
[934ce649]	1563	evt = StatusEvent(status=msg, info="warning", type="stop")
	1564	wx.PostEvent(self.parent, evt)
[f76bf17]	1565
	1566	def _update_fit_button(self, page_id):
	1567	"""
	1568	Update Fit button when fit stopped
	1569
	1570	: parameter page_id: fitpage where the button is
	1571	"""
	1572	if page_id.__class__.__name__ != 'list':
	1573	page_id = [page_id]
	1574	for uid in page_id:
	1575	page = self.fit_panel.get_page_by_id(uid)
	1576	page._on_fit_complete()
	1577
	1578	def _on_show_panel(self, event):
	1579	"""
	1580	"""
	1581	pass
	1582
	1583	def on_reset_batch_flag(self, event):
	1584	"""
	1585	Set batch_reset_flag
	1586	"""
	1587	event.Skip()
	1588	if self.menu1 == None:
	1589	return
	1590	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1591	flag = menu_item.IsChecked()
	1592	if not flag:
	1593	menu_item.Check(False)
	1594	self.batch_reset_flag = True
	1595	else:
	1596	menu_item.Check(True)
	1597	self.batch_reset_flag = False
	1598
	1599	## post a message to status bar
	1600	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
[934ce649]	1601	wx.PostEvent(self.parent, StatusEvent(status=msg))
[f76bf17]	1602
	1603
	1604	def _on_slicer_event(self, event):
	1605	"""
	1606	Receive a panel as event and send it to guiframe
	1607
	1608	:param event: event containing a panel
	1609
	1610	"""
	1611	if event.panel is not None:
	1612	self.slicer_panels.append(event.panel)
	1613	# Set group ID if available
	1614	event_id = self.parent.popup_panel(event.panel)
	1615	event.panel.uid = event_id
	1616	self.mypanels.append(event.panel)
	1617
	1618	def _onclearslicer(self, event):
	1619	"""
	1620	Clear the boxslicer when close the panel associate with this slicer
	1621	"""
	1622	name = event.GetEventObject().frame.GetTitle()
	1623	for panel in self.slicer_panels:
	1624	if panel.window_caption == name:
	1625
	1626	for item in self.parent.panels:
	1627	if hasattr(self.parent.panels[item], "uid"):
	1628	if self.parent.panels[item].uid == panel.base.uid:
	1629	self.parent.panels[item].onClearSlicer(event)
	1630	#self.parent._mgr.Update()
	1631	break
	1632	break
	1633
	1634	def _on_model_panel(self, evt):
	1635	"""
	1636	react to model selection on any combo box or model menu.plot the model
	1637
	1638	:param evt: wx.combobox event
	1639
	1640	"""
	1641	model = evt.model
	1642	uid = evt.uid
	1643	qmin = evt.qmin
	1644	qmax = evt.qmax
	1645	caption = evt.caption
	1646	enable_smearer = evt.enable_smearer
	1647	if model == None:
	1648	return
	1649	if uid not in self.page_finder.keys():
	1650	return
	1651	# save the name containing the data name with the appropriate model
	1652	self.page_finder[uid].set_model(model)
	1653	self.page_finder[uid].enable_smearing(enable_smearer)
	1654	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
	1655	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1656	if self.sim_page is not None and not self.batch_on:
	1657	self.sim_page.draw_page()
	1658	if self.batch_page is not None and self.batch_on:
	1659	self.batch_page.draw_page()
	1660
	1661	def _update1D(self, x, output):
	1662	"""
	1663	Update the output of plotting model 1D
	1664	"""
	1665	msg = "Plot updating ... "
	1666	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
	1667
[c807957]	1668	def create_theory_1D(self, x, y, page_id, model, data, state,
[804fefa]	1669	data_description, data_id, dy=None):
[c807957]	1670	"""
	1671	Create a theory object associate with an existing Data1D
	1672	and add it to the data manager.
	1673	@param x: x-values of the data
	1674	@param y: y_values of the data
	1675	@param page_id: fit page ID
	1676	@param model: model used for fitting
	1677	@param data: Data1D object to create the theory for
	1678	@param state: model state
	1679	@param data_description: title to use in the data manager
	1680	@param data_id: unique data ID
	1681	"""
	1682	new_plot = Data1D(x=x, y=y)
[6a0c75d1]	1683	if dy is None:
	1684	new_plot.is_data = False
	1685	new_plot.dy = numpy.zeros(len(y))
	1686	# If this is a theory curve, pick the proper symbol to make it a curve
	1687	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	1688	else:
	1689	new_plot.is_data = True
	1690	new_plot.dy = dy
[804fefa]	1691	new_plot.interactive = True
	1692	new_plot.dx = None
	1693	new_plot.dxl = None
	1694	new_plot.dxw = None
[c807957]	1695	_yaxis, _yunit = data.get_yaxis()
	1696	_xaxis, _xunit = data.get_xaxis()
	1697	new_plot.title = data.name
	1698	new_plot.group_id = data.group_id
	1699	if new_plot.group_id == None:
	1700	new_plot.group_id = data.group_id
	1701	new_plot.id = data_id
	1702	# Find if this theory was already plotted and replace that plot given
	1703	# the same id
	1704	self.page_finder[page_id].get_theory_data(fid=data.id)
	1705
	1706	if data.is_data:
	1707	data_name = str(data.name)
	1708	else:
	1709	data_name = str(model.__class__.__name__)
	1710
	1711	new_plot.name = data_description + " [" + data_name + "]"
	1712	new_plot.xaxis(_xaxis, _xunit)
	1713	new_plot.yaxis(_yaxis, _yunit)
	1714	self.page_finder[page_id].set_theory_data(data=new_plot,
	1715	fid=data.id)
	1716	self.parent.update_theory(data_id=data.id, theory=new_plot,
	1717	state=state)
	1718	return new_plot
	1719
[f76bf17]	1720	def _complete1D(self, x, y, page_id, elapsed, index, model,
	1721	weight=None, fid=None,
	1722	toggle_mode_on=False, state=None,
	1723	data=None, update_chisqr=True,
[804fefa]	1724	source='model', plot_result=True,
	1725	unsmeared_model=None, unsmeared_data=None,
[ca4d985]	1726	unsmeared_error=None, sq_model=None, pq_model=None):
[f76bf17]	1727	"""
[c807957]	1728	Complete plotting 1D data
	1729	@param unsmeared_model: fit model, without smearing
[804fefa]	1730	@param unsmeared_data: data, rescaled to unsmeared model
[edbe974]	1731	@param unsmeared_error: data error, rescaled to unsmeared model
[f76bf17]	1732	"""
	1733	try:
	1734	numpy.nan_to_num(y)
[c807957]	1735	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
	1736	data_description=model.name,
	1737	data_id=str(page_id) + " " + data.name)
	1738	if unsmeared_model is not None:
	1739	self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
	1740	data_description=model.name + " unsmeared",
	1741	data_id=str(page_id) + " " + data.name + " unsmeared")
[f76bf17]	1742
[286c757]	1743	if unsmeared_data is not None and unsmeared_error is not None:
	1744	self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
	1745	data_description="Data unsmeared",
	1746	data_id="Data " + data.name + " unsmeared",
	1747	dy=unsmeared_error)
[ca4d985]	1748
	1749	if sq_model is not None and pq_model is not None:
	1750	self.create_theory_1D(x, sq_model, page_id, model, data, state,
	1751	data_description=model.name + " S(q)",
	1752	data_id=str(page_id) + " " + data.name + " S(q)")
	1753	self.create_theory_1D(x, pq_model, page_id, model, data, state,
	1754	data_description=model.name + " P(q)",
	1755	data_id=str(page_id) + " " + data.name + " P(q)")
	1756
[804fefa]	1757
[f76bf17]	1758	current_pg = self.fit_panel.get_page_by_id(page_id)
	1759	title = new_plot.title
	1760	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1761	if not batch_on:
	1762	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1763	title=str(title)))
	1764	elif plot_result:
	1765	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1766	if data.id == top_data_id:
	1767	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1768	title=str(title)))
	1769	caption = current_pg.window_caption
	1770	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
	1771
	1772	self.page_finder[page_id].set_theory_data(data=new_plot,
	1773	fid=data.id)
	1774	if toggle_mode_on:
	1775	wx.PostEvent(self.parent,
	1776	NewPlotEvent(group_id=str(page_id) + " Model2D",
	1777	action="Hide"))
	1778	else:
	1779	if update_chisqr:
	1780	wx.PostEvent(current_pg,
	1781	Chi2UpdateEvent(output=self._cal_chisqr(
	1782	data=data,
	1783	fid=fid,
	1784	weight=weight,
	1785	page_id=page_id,
	1786	index=index)))
	1787	else:
	1788	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1789	index=index, weight=weight)
	1790
	1791	msg = "Computation completed!"
	1792	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1793	except:
	1794	raise
	1795
[934ce649]	1796	def _calc_exception(self, etype, value, tb):
	1797	"""
	1798	Handle exception from calculator by posting it as an error.
	1799	"""
	1800	logging.error("".join(traceback.format_exception(etype, value, tb)))
	1801	msg = traceback.format_exception(etype, value, tb, limit=1)
	1802	evt = StatusEvent(status="".join(msg), type="stop", info="error")
	1803	wx.PostEvent(self.parent, evt)
	1804
[f76bf17]	1805	def _update2D(self, output, time=None):
	1806	"""
	1807	Update the output of plotting model
	1808	"""
[934ce649]	1809	msg = "Plot updating ... "
	1810	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
[f76bf17]	1811
	1812	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1813	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
	1814	update_chisqr=True, source='model', plot_result=True):
	1815	"""
	1816	Complete get the result of modelthread and create model 2D
	1817	that can be plot.
	1818	"""
	1819	numpy.nan_to_num(image)
	1820	new_plot = Data2D(image=image, err_image=data.err_data)
	1821	new_plot.name = model.name + '2d'
	1822	new_plot.title = "Analytical model 2D "
	1823	new_plot.id = str(page_id) + " " + data.name
	1824	new_plot.group_id = str(page_id) + " Model2D"
	1825	new_plot.detector = data.detector
	1826	new_plot.source = data.source
	1827	new_plot.is_data = False
	1828	new_plot.qx_data = data.qx_data
	1829	new_plot.qy_data = data.qy_data
	1830	new_plot.q_data = data.q_data
	1831	new_plot.mask = data.mask
	1832	## plot boundaries
	1833	new_plot.ymin = data.ymin
	1834	new_plot.ymax = data.ymax
	1835	new_plot.xmin = data.xmin
	1836	new_plot.xmax = data.xmax
	1837	title = data.title
	1838
	1839	new_plot.is_data = False
	1840	if data.is_data:
	1841	data_name = str(data.name)
	1842	else:
	1843	data_name = str(model.__class__.__name__) + '2d'
	1844
	1845	if len(title) > 1:
	1846	new_plot.title = "Model2D for %s " % model.name + data_name
	1847	new_plot.name = model.name + " [" + \
	1848	data_name + "]"
	1849	theory_data = deepcopy(new_plot)
	1850
	1851	self.page_finder[page_id].set_theory_data(data=theory_data,
	1852	fid=data.id)
	1853	self.parent.update_theory(data_id=data.id,
	1854	theory=new_plot,
	1855	state=state)
	1856	current_pg = self.fit_panel.get_page_by_id(page_id)
	1857	title = new_plot.title
	1858	if not source == 'fit' and plot_result:
	1859	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1860	title=title))
	1861	if toggle_mode_on:
	1862	wx.PostEvent(self.parent,
	1863	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1864	action="Hide"))
	1865	else:
	1866	# Chisqr in fitpage
	1867	if update_chisqr:
	1868	wx.PostEvent(current_pg,
	1869	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
	1870	weight=weight,
	1871	fid=fid,
	1872	page_id=page_id,
	1873	index=index)))
	1874	else:
	1875	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1876	index=index, weight=weight)
	1877	msg = "Computation completed!"
	1878	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1879
	1880	def _draw_model2D(self, model, page_id, qmin,
	1881	qmax,
	1882	data=None, smearer=None,
	1883	description=None, enable2D=False,
	1884	state=None,
	1885	fid=None,
	1886	weight=None,
	1887	toggle_mode_on=False,
	1888	update_chisqr=True, source='model'):
	1889	"""
	1890	draw model in 2D
	1891
	1892	:param model: instance of the model to draw
	1893	:param description: the description of the model
	1894	:param enable2D: when True allows to draw model 2D
	1895	:param qmin: the minimum value to draw model 2D
	1896	:param qmax: the maximum value to draw model 2D
	1897	:param qstep: the number of division of Qx and Qy of the model to draw
	1898
	1899	"""
	1900	if not enable2D:
	1901	return None
	1902	try:
	1903	from model_thread import Calc2D
	1904	## If a thread is already started, stop it
	1905	if (self.calc_2D is not None) and self.calc_2D.isrunning():
	1906	self.calc_2D.stop()
	1907	## stop just raises a flag to tell the thread to kill
	1908	## itself -- see the fix in Calc1D implemented to fix
	1909	## an actual problem. Seems the fix should also go here
	1910	## and may be the cause of other noted instabilities
	1911	##
	1912	## -PDB August 12, 2014
	1913	while self.calc_2D.isrunning():
	1914	time.sleep(0.1)
	1915	self.calc_2D = Calc2D(model=model,
[934ce649]	1916	data=data,
	1917	page_id=page_id,
	1918	smearer=smearer,
	1919	qmin=qmin,
	1920	qmax=qmax,
	1921	weight=weight,
	1922	fid=fid,
	1923	toggle_mode_on=toggle_mode_on,
	1924	state=state,
	1925	completefn=self._complete2D,
	1926	update_chisqr=update_chisqr,
	1927	exception_handler=self._calc_exception,
	1928	source=source)
[f76bf17]	1929	self.calc_2D.queue()
	1930	except:
	1931	raise
	1932
	1933	def _draw_model1D(self, model, page_id, data,
	1934	qmin, qmax, smearer=None,
	1935	state=None,
	1936	weight=None,
	1937	fid=None,
	1938	toggle_mode_on=False, update_chisqr=True, source='model',
	1939	enable1D=True):
	1940	"""
	1941	Draw model 1D from loaded data1D
	1942
	1943	:param data: loaded data
	1944	:param model: the model to plot
	1945
	1946	"""
	1947	if not enable1D:
	1948	return
	1949	try:
	1950	from model_thread import Calc1D
	1951	## If a thread is already started, stop it
	1952	if (self.calc_1D is not None) and self.calc_1D.isrunning():
	1953	self.calc_1D.stop()
	1954	## stop just raises the flag -- the thread is supposed to
	1955	## then kill itself but cannot. Paul Kienzle came up with
	1956	## this fix to prevent threads from stepping on each other
	1957	## which was causing a simple custom model to crash Sasview.
	1958	## We still don't know why the fit sometimes lauched a second
	1959	## thread -- something which should also be investigated.
	1960	## The thread approach was implemented in order to be able
	1961	## to lauch a computation in a separate thread from the GUI so
	1962	## that the GUI can still respond to user input including
	1963	## a request to stop the computation.
	1964	## It seems thus that the whole thread approach used here
	1965	## May need rethinking
	1966	##
[d99f008]	1967	## -PDB August 12, 2014
[f76bf17]	1968	while self.calc_1D.isrunning():
	1969	time.sleep(0.1)
	1970	self.calc_1D = Calc1D(data=data,
	1971	model=model,
	1972	page_id=page_id,
	1973	qmin=qmin,
	1974	qmax=qmax,
	1975	smearer=smearer,
	1976	state=state,
	1977	weight=weight,
	1978	fid=fid,
	1979	toggle_mode_on=toggle_mode_on,
	1980	completefn=self._complete1D,
	1981	#updatefn = self._update1D,
	1982	update_chisqr=update_chisqr,
[934ce649]	1983	exception_handler=self._calc_exception,
[f76bf17]	1984	source=source)
	1985	self.calc_1D.queue()
	1986	except:
	1987	msg = " Error occurred when drawing %s Model 1D: " % model.name
	1988	msg += " %s" % sys.exc_value
	1989	wx.PostEvent(self.parent, StatusEvent(status=msg))
	1990
	1991	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
	1992	"""
	1993	Get handy Chisqr using the output from draw1D and 2D,
	1994	instead of calling expansive CalcChisqr in guithread
	1995	"""
	1996	try:
	1997	data_copy = deepcopy(data)
	1998	except:
	1999	return
	2000	# default chisqr
	2001	chisqr = None
	2002	#to compute chisq make sure data has valid data
	2003	# return None if data == None
	2004	if not check_data_validity(data_copy) or data_copy == None:
	2005	return chisqr
	2006
	2007	# Get data: data I, theory I, and data dI in order
	2008	if data_copy.__class__.__name__ == "Data2D":
	2009	if index == None:
	2010	index = numpy.ones(len(data_copy.data), dtype=bool)
	2011	if weight != None:
	2012	data_copy.err_data = weight
	2013	# get rid of zero error points
	2014	index = index & (data_copy.err_data != 0)
	2015	index = index & (numpy.isfinite(data_copy.data))
	2016	fn = data_copy.data[index]
	2017	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2018	if theory_data == None:
	2019	return chisqr
	2020	gn = theory_data.data[index]
	2021	en = data_copy.err_data[index]
	2022	else:
	2023	# 1 d theory from model_thread is only in the range of index
	2024	if index == None:
	2025	index = numpy.ones(len(data_copy.y), dtype=bool)
	2026	if weight != None:
	2027	data_copy.dy = weight
	2028	if data_copy.dy == None or data_copy.dy == []:
	2029	dy = numpy.ones(len(data_copy.y))
	2030	else:
[acf8e4a5]	2031	## Set consistently w/AbstractFitengine:
[f76bf17]	2032	# But this should be corrected later.
	2033	dy = deepcopy(data_copy.dy)
	2034	dy[dy == 0] = 1
	2035	fn = data_copy.y[index]
	2036
	2037	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2038	if theory_data == None:
	2039	return chisqr
	2040	gn = theory_data.y
	2041	en = dy[index]
	2042
	2043	# residual
	2044	try:
	2045	res = (fn - gn) / en
	2046	except ValueError:
	2047	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
	2048	return
	2049
	2050	residuals = res[numpy.isfinite(res)]
	2051	# get chisqr only w/finite
	2052	chisqr = numpy.average(residuals * residuals)
	2053
	2054	self._plot_residuals(page_id=page_id, data=data_copy,
	2055	fid=fid,
	2056	weight=weight, index=index)
	2057
	2058	return chisqr
	2059
	2060	def _plot_residuals(self, page_id, weight, fid=None,
	2061	data=None, index=None):
	2062	"""
	2063	Plot the residuals
	2064
	2065	:param data: data
	2066	:param index: index array (bool)
	2067	: Note: this is different from the residuals in cal_chisqr()
	2068	"""
	2069	data_copy = deepcopy(data)
	2070	# Get data: data I, theory I, and data dI in order
	2071	if data_copy.__class__.__name__ == "Data2D":
	2072	# build residuals
	2073	residuals = Data2D()
	2074	#residuals.copy_from_datainfo(data)
	2075	# Not for trunk the line below, instead use the line above
	2076	data_copy.clone_without_data(len(data_copy.data), residuals)
	2077	residuals.data = None
	2078	fn = data_copy.data
	2079	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2080	gn = theory_data.data
	2081	if weight == None:
	2082	en = data_copy.err_data
	2083	else:
	2084	en = weight
	2085	residuals.data = (fn - gn) / en
	2086	residuals.qx_data = data_copy.qx_data
	2087	residuals.qy_data = data_copy.qy_data
	2088	residuals.q_data = data_copy.q_data
	2089	residuals.err_data = numpy.ones(len(residuals.data))
	2090	residuals.xmin = min(residuals.qx_data)
	2091	residuals.xmax = max(residuals.qx_data)
	2092	residuals.ymin = min(residuals.qy_data)
	2093	residuals.ymax = max(residuals.qy_data)
	2094	residuals.q_data = data_copy.q_data
	2095	residuals.mask = data_copy.mask
	2096	residuals.scale = 'linear'
	2097	# check the lengths
	2098	if len(residuals.data) != len(residuals.q_data):
	2099	return
	2100	else:
	2101	# 1 d theory from model_thread is only in the range of index
	2102	if data_copy.dy == None or data_copy.dy == []:
	2103	dy = numpy.ones(len(data_copy.y))
	2104	else:
	2105	if weight == None:
	2106	dy = numpy.ones(len(data_copy.y))
	2107	## Set consitently w/AbstractFitengine:
	2108	## But this should be corrected later.
	2109	else:
	2110	dy = weight
	2111	dy[dy == 0] = 1
	2112	fn = data_copy.y[index]
	2113	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2114	gn = theory_data.y
	2115	en = dy[index]
	2116	# build residuals
	2117	residuals = Data1D()
	2118	try:
	2119	residuals.y = (fn - gn) / en
	2120	except:
	2121	msg = "ResidualPlot Error: different # of data points in theory"
	2122	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	2123	residuals.y = (fn - gn[index]) / en
	2124	residuals.x = data_copy.x[index]
	2125	residuals.dy = numpy.ones(len(residuals.y))
	2126	residuals.dx = None
	2127	residuals.dxl = None
	2128	residuals.dxw = None
	2129	residuals.ytransform = 'y'
	2130	# For latter scale changes
	2131	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2132	residuals.yaxis('\\rm{Residuals} ', 'normalized')
	2133	theory_name = str(theory_data.name.split()[0])
	2134	new_plot = residuals
	2135	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
	2136	str(data.name) + "]"
	2137	## allow to highlight data when plotted
	2138	new_plot.interactive = True
	2139	## when 2 data have the same id override the 1 st plotted
	2140	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
	2141	##group_id specify on which panel to plot this data
	2142	group_id = self.page_finder[page_id].get_graph_id()
	2143	if group_id == None:
	2144	group_id = data.group_id
	2145	new_plot.group_id = "res" + str(group_id)
	2146	#new_plot.is_data = True
	2147	##post data to plot
	2148	title = new_plot.name
	2149	self.page_finder[page_id].set_residuals(residuals=new_plot,
	2150	fid=data.id)
	2151	self.parent.update_theory(data_id=data.id, theory=new_plot)
	2152	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	2153	if not batch_on:
	2154	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ aa4b4f05

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