fitting.py @ 1a5d5f2

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 1a5d5f2 was 1a5d5f2, checked in by Paul Kienzle <pkienzle@…>, 7 years ago
send errors back from fitting. Fixes #820
Property mode set to `100755`
File size: 87.7 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	self._mac_sleep(0.2)
	867
	868	def _mac_sleep(self, sec=0.2):
	869	"""
	870	Give sleep to MAC
	871	"""
	872	if ON_MAC:
	873	time.sleep(sec)
	874
	875	def draw_model(self, model, page_id, data=None, smearer=None,
	876	enable1D=True, enable2D=False,
	877	state=None,
	878	fid=None,
	879	toggle_mode_on=False,
	880	qmin=None, qmax=None,
	881	update_chisqr=True, weight=None, source='model'):
	882	"""
	883	Draw model.
	884
	885	:param model: the model to draw
	886	:param name: the name of the model to draw
	887	:param data: the data on which the model is based to be drawn
	888	:param description: model's description
	889	:param enable1D: if true enable drawing model 1D
	890	:param enable2D: if true enable drawing model 2D
	891	:param qmin: Range's minimum value to draw model
	892	:param qmax: Range's maximum value to draw model
	893	:param qstep: number of step to divide the x and y-axis
	894	:param update_chisqr: update chisqr [bool]
	895
	896	"""
	897	#self.weight = weight
	898	if issubclass(data.__class__, Data1D) or not enable2D:
	899	## draw model 1D with no loaded data
	900	self._draw_model1D(model=model,
	901	data=data,
	902	page_id=page_id,
	903	enable1D=enable1D,
	904	smearer=smearer,
	905	qmin=qmin,
	906	qmax=qmax,
	907	fid=fid,
	908	weight=weight,
	909	toggle_mode_on=toggle_mode_on,
	910	state=state,
	911	update_chisqr=update_chisqr,
	912	source=source)
	913	else:
	914	## draw model 2D with no initial data
	915	self._draw_model2D(model=model,
	916	page_id=page_id,
	917	data=data,
	918	enable2D=enable2D,
	919	smearer=smearer,
	920	qmin=qmin,
	921	qmax=qmax,
	922	fid=fid,
	923	weight=weight,
	924	state=state,
	925	toggle_mode_on=toggle_mode_on,
	926	update_chisqr=update_chisqr,
	927	source=source)
	928
	929	def onFit(self, uid):
	930	"""
	931	Get series of data, model, associates parameters and range and send then
[acf8e4a5]	932	to series of fitters. Fit data and model, display result to
[f76bf17]	933	corresponding panels.
	934	:param uid: id related to the panel currently calling this fit function.
	935	"""
	936	if uid is None: raise RuntimeError("no page to fit") # Should never happen
	937
	938	sim_page_uid = getattr(self.sim_page, 'uid', None)
	939	batch_page_uid = getattr(self.batch_page, 'uid', None)
	940
	941	if uid == sim_page_uid:
	942	fit_type = 'simultaneous'
	943	elif uid == batch_page_uid:
	944	fit_type = 'combined_batch'
	945	else:
	946	fit_type = 'single'
	947
	948	fitter_list = []
	949	sim_fitter = None
	950	if fit_type == 'simultaneous':
[acf8e4a5]	951	# for simultaneous fitting only one fitter is needed
	952	sim_fitter = Fit()
[f76bf17]	953	sim_fitter.fitter_id = self.sim_page.uid
	954	fitter_list.append(sim_fitter)
	955
	956	self.current_pg = None
	957	list_page_id = []
	958	fit_id = 0
	959	for page_id, page_info in self.page_finder.iteritems():
	960	# For simulfit (uid give with None), do for-loop
	961	# if uid is specified (singlefit), do it only on the page.
	962	if page_id in (sim_page_uid, batch_page_uid): continue
	963	if fit_type == "single" and page_id != uid: continue
	964
	965	try:
	966	if page_info.get_scheduled() == 1:
	967	page_info.nbr_residuals_computed = 0
	968	page = self.fit_panel.get_page_by_id(page_id)
	969	self.set_fit_weight(uid=page.uid,
	970	flag=page.get_weight_flag(),
	971	is2d=page._is_2D())
	972	if not page.param_toFit:
	973	msg = "No fitting parameters for %s" % page.window_caption
[934ce649]	974	evt = StatusEvent(status=msg, info="error", type="stop")
	975	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	976	return False
	977	if not page._update_paramv_on_fit():
	978	msg = "Fitting range or parameter values are"
	979	msg += " invalid in %s" % \
	980	page.window_caption
[934ce649]	981	evt = StatusEvent(status=msg, info="error", type="stop")
	982	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	983	return False
	984
	985	pars = [str(element[1]) for element in page.param_toFit]
	986	fitproblem_list = page_info.values()
	987	for fitproblem in fitproblem_list:
	988	if sim_fitter is None:
[acf8e4a5]	989	fitter = Fit()
[f76bf17]	990	fitter.fitter_id = page_id
	991	fitter_list.append(fitter)
	992	else:
	993	fitter = sim_fitter
	994	self._add_problem_to_fit(fitproblem=fitproblem,
	995	pars=pars,
	996	fitter=fitter,
	997	fit_id=fit_id)
	998	fit_id += 1
	999	list_page_id.append(page_id)
	1000	page_info.clear_model_param()
	1001	except KeyboardInterrupt:
	1002	msg = "Fitting terminated"
[934ce649]	1003	evt = StatusEvent(status=msg, info="info", type="stop")
	1004	wx.PostEvent(self.parent, evt)
[f76bf17]	1005	return True
	1006	except:
[a3f125f0]	1007	raise
[f76bf17]	1008	msg = "Fitting error: %s" % str(sys.exc_value)
[934ce649]	1009	evt = StatusEvent(status=msg, info="error", type="stop")
	1010	wx.PostEvent(self.parent, evt)
[f76bf17]	1011	return False
	1012	## If a thread is already started, stop it
	1013	#if self.calc_fit!= None and self.calc_fit.isrunning():
	1014	# self.calc_fit.stop()
	1015	msg = "Fitting is in progress..."
	1016	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1017
[acf8e4a5]	1018	#Handler used to display fit message
[f76bf17]	1019	handler = ConsoleUpdate(parent=self.parent,
	1020	manager=self,
	1021	improvement_delta=0.1)
	1022	self._mac_sleep(0.2)
	1023
	1024	# batch fit
	1025	batch_inputs = {}
	1026	batch_outputs = {}
	1027	if fit_type == "simultaneous":
	1028	page = self.sim_page
	1029	elif fit_type == "combined_batch":
	1030	page = self.batch_page
	1031	else:
	1032	page = self.fit_panel.get_page_by_id(uid)
	1033	if page.batch_on:
	1034	calc_fit = FitThread(handler=handler,
	1035	fn=fitter_list,
	1036	pars=pars,
	1037	batch_inputs=batch_inputs,
	1038	batch_outputs=batch_outputs,
	1039	page_id=list_page_id,
	1040	completefn=self._batch_fit_complete,
	1041	reset_flag=self.batch_reset_flag)
	1042	else:
	1043	## Perform more than 1 fit at the time
	1044	calc_fit = FitThread(handler=handler,
	1045	fn=fitter_list,
	1046	batch_inputs=batch_inputs,
	1047	batch_outputs=batch_outputs,
	1048	page_id=list_page_id,
	1049	updatefn=handler.update_fit,
	1050	completefn=self._fit_completed)
	1051	#self.fit_thread_list[current_page_id] = calc_fit
	1052	self.fit_thread_list[uid] = calc_fit
	1053	calc_fit.queue()
	1054	calc_fit.ready(2.5)
	1055	msg = "Fitting is in progress..."
	1056	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1057
	1058	return True
	1059
	1060	def remove_plot(self, uid, fid=None, theory=False):
	1061	"""
	1062	remove model plot when a fit page is closed
	1063	:param uid: the id related to the fitpage to close
	1064	:param fid: the id of the fitproblem(data, model, range,etc)
	1065	"""
	1066	if uid not in self.page_finder.keys():
	1067	return
	1068	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1069	for fitproblem in fitproblemList:
	1070	data = fitproblem.get_fit_data()
	1071	model = fitproblem.get_model()
	1072	plot_id = None
	1073	if model is not None:
	1074	plot_id = data.id + model.name
	1075	if theory:
	1076	plot_id = data.id + model.name
	1077	group_id = data.group_id
	1078	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
	1079	group_id=group_id,
	1080	action='remove'))
	1081
	1082	def store_data(self, uid, data_list=None, caption=None):
	1083	"""
	1084	Recieve a list of data and store them ans well as a caption of
	1085	the fit page where they come from.
	1086	:param uid: if related to a fit page
	1087	:param data_list: list of data to fit
	1088	:param caption: caption of the window related to these data
	1089	"""
	1090	if data_list is None:
	1091	data_list = []
	1092
	1093	self.page_finder[uid].set_fit_data(data=data_list)
	1094	if caption is not None:
	1095	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1096
	1097	def on_add_new_page(self, event=None):
	1098	"""
	1099	ask fit panel to create a new empty page
	1100	"""
	1101	try:
	1102	page = self.fit_panel.add_empty_page()
	1103	# add data associated to the page created
	1104	if page != None:
[934ce649]	1105	evt = StatusEvent(status="Page Created", info="info")
	1106	wx.PostEvent(self.parent, evt)
[f76bf17]	1107	else:
	1108	msg = "Page was already Created"
[934ce649]	1109	evt = StatusEvent(status=msg, info="warning")
	1110	wx.PostEvent(self.parent, evt)
[f76bf17]	1111	except:
	1112	msg = "Creating Fit page: %s" % sys.exc_value
	1113	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	1114
	1115	def add_fit_page(self, data):
	1116	"""
	1117	given a data, ask to the fitting panel to create a new fitting page,
	1118	get this page and store it into the page_finder of this plug-in
	1119	:param data: is a list of data
	1120	"""
	1121	page = self.fit_panel.set_data(data)
	1122	# page could be None when loading state files
	1123	if page == None:
	1124	return page
	1125	#append Data1D to the panel containing its theory
	1126	#if theory already plotted
	1127	if page.uid in self.page_finder:
	1128	data = page.get_data()
	1129	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
	1130	if issubclass(data.__class__, Data2D):
	1131	data.group_id = wx.NewId()
	1132	if theory_data is not None:
	1133	group_id = str(page.uid) + " Model1D"
	1134	wx.PostEvent(self.parent,
	1135	NewPlotEvent(group_id=group_id,
	1136	action="delete"))
	1137	self.parent.update_data(prev_data=theory_data,
	1138	new_data=data)
	1139	else:
	1140	if theory_data is not None:
	1141	group_id = str(page.uid) + " Model2D"
	1142	data.group_id = theory_data.group_id
	1143	wx.PostEvent(self.parent,
	1144	NewPlotEvent(group_id=group_id,
	1145	action="delete"))
	1146	self.parent.update_data(prev_data=theory_data,
	1147	new_data=data)
	1148	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	1149	caption=page.window_caption)
	1150	if self.sim_page is not None and not self.batch_on:
	1151	self.sim_page.draw_page()
	1152	if self.batch_page is not None and self.batch_on:
	1153	self.batch_page.draw_page()
	1154
	1155	return page
	1156
	1157	def _onEVT_SLICER_PANEL(self, event):
	1158	"""
	1159	receive and event telling to update a panel with a name starting with
	1160	event.panel_name. this method update slicer panel
	1161	for a given interactor.
	1162
	1163	:param event: contains type of slicer , paramaters for updating
	1164	the panel and panel_name to find the slicer 's panel concerned.
	1165	"""
	1166	event.panel_name
	1167	for item in self.parent.panels:
	1168	name = event.panel_name
	1169	if self.parent.panels[item].window_caption.startswith(name):
	1170	self.parent.panels[item].set_slicer(event.type, event.params)
	1171
	1172	#self.parent._mgr.Update()
	1173
	1174	def _closed_fitpage(self, event):
	1175	"""
	1176	request fitpanel to close a given page when its unique data is removed
	1177	from the plot. close fitpage only when the a loaded data is removed
	1178	"""
	1179	if event is None or event.data is None:
	1180	return
	1181	if hasattr(event.data, "is_data"):
	1182	if not event.data.is_data or \
	1183	event.data.__class__.__name__ == "Data1D":
	1184	self.fit_panel.close_page_with_data(event.data)
	1185
	1186	def _reset_schedule_problem(self, value=0, uid=None):
	1187	"""
	1188	unschedule or schedule all fitproblem to be fit
	1189	"""
	1190	# case that uid is not specified
	1191	if uid == None:
	1192	for page_id in self.page_finder.keys():
	1193	self.page_finder[page_id].schedule_tofit(value)
	1194	# when uid is given
	1195	else:
	1196	if uid in self.page_finder.keys():
	1197	self.page_finder[uid].schedule_tofit(value)
	1198
	1199	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
	1200	"""
[acf8e4a5]	1201	Create and set fitter with series of data and model
[f76bf17]	1202	"""
	1203	data = fitproblem.get_fit_data()
	1204	model = fitproblem.get_model()
	1205	smearer = fitproblem.get_smearer()
	1206	qmin, qmax = fitproblem.get_range()
	1207
	1208	#Extra list of parameters and their constraints
	1209	listOfConstraint = []
	1210	param = fitproblem.get_model_param()
	1211	if len(param) > 0:
	1212	for item in param:
	1213	## check if constraint
	1214	if item[0] != None and item[1] != None:
	1215	listOfConstraint.append((item[0], item[1]))
	1216	new_model = model
	1217	fitter.set_model(new_model, fit_id, pars, data=data,
	1218	constraints=listOfConstraint)
	1219	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
	1220	qmax=qmax)
	1221	fitter.select_problem_for_fit(id=fit_id, value=1)
	1222
	1223	def _onSelect(self, event):
	1224	"""
	1225	when Select data to fit a new page is created .Its reference is
	1226	added to self.page_finder
	1227	"""
	1228	panel = self.plot_panel
	1229	if panel == None:
	1230	raise ValueError, "Fitting:_onSelect: NonType panel"
	1231	Plugin.on_perspective(self, event=event)
	1232	self.select_data(panel)
	1233
	1234	def select_data(self, panel):
	1235	"""
	1236	"""
	1237	for plottable in panel.graph.plottables:
	1238	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
	1239	data_id = panel.graph.selected_plottable
	1240	if plottable == panel.plots[data_id]:
	1241	data = plottable
	1242	self.add_fit_page(data=[data])
	1243	return
	1244	else:
	1245	data = plottable
	1246	self.add_fit_page(data=[data])
	1247
	1248	def update_fit(self, result=None, msg=""):
	1249	"""
	1250	"""
	1251	print "update_fit result", result
	1252
	1253	def _batch_fit_complete(self, result, pars, page_id,
	1254	batch_outputs, batch_inputs, elapsed=None):
	1255	"""
	1256	Display fit result in batch
[acf8e4a5]	1257	:param result: list of objects received from fitters
[f76bf17]	1258	:param pars: list of fitted parameters names
	1259	:param page_id: list of page ids which called fit function
	1260	:param elapsed: time spent at the fitting level
	1261	"""
	1262	self._mac_sleep(0.2)
	1263	uid = page_id[0]
	1264	if uid in self.fit_thread_list.keys():
	1265	del self.fit_thread_list[uid]
	1266
[373d4ee]	1267	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1268	t1 = time.time()
	1269	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1270	msg = "Fit completed on %s \n" % str_time
	1271	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1272	evt = StatusEvent(status=msg, info="info", type="stop")
	1273	wx.PostEvent(self.parent, evt)
[f76bf17]	1274
	1275	if batch_outputs is None:
	1276	batch_outputs = {}
	1277
	1278	# format batch_outputs
	1279	batch_outputs["Chi2"] = []
	1280	#Don't like these loops
	1281	# Need to create dictionary of all fitted parameters
	1282	# since the number of parameters can differ between each fit result
	1283	for list_res in result:
	1284	for res in list_res:
	1285	model, data = res.inputs[0]
	1286	if model is not None and hasattr(model, "model"):
	1287	model = model.model
	1288	#get all fittable parameters of the current model
	1289	for param in model.getParamList():
	1290	if param not in batch_outputs.keys():
	1291	batch_outputs[param] = []
	1292	for param in model.getDispParamList():
	1293	if not model.is_fittable(param) and \
	1294	param in batch_outputs.keys():
	1295	del batch_outputs[param]
	1296	# Add fitted parameters and their error
	1297	for param in res.param_list:
	1298	if param not in batch_outputs.keys():
	1299	batch_outputs[param] = []
	1300	err_param = "error on %s" % str(param)
	1301	if err_param not in batch_inputs.keys():
	1302	batch_inputs[err_param] = []
	1303	msg = ""
	1304	for list_res in result:
	1305	for res in list_res:
	1306	pid = res.fitter_id
	1307	model, data = res.inputs[0]
	1308	correct_result = False
	1309	if model is not None and hasattr(model, "model"):
	1310	model = model.model
	1311	if data is not None and hasattr(data, "sas_data"):
	1312	data = data.sas_data
	1313
	1314	is_data2d = issubclass(data.__class__, Data2D)
	1315	#check consistency of arrays
	1316	if not is_data2d:
	1317	if len(res.theory) == len(res.index[res.index]) and \
	1318	len(res.index) == len(data.y):
	1319	correct_result = True
	1320	else:
	1321	copy_data = deepcopy(data)
	1322	new_theory = copy_data.data
	1323	new_theory[res.index] = res.theory
	1324	new_theory[res.index == False] = numpy.nan
	1325	correct_result = True
	1326	#get all fittable parameters of the current model
	1327	param_list = model.getParamList()
	1328	for param in model.getDispParamList():
	1329	if not model.is_fittable(param) and \
	1330	param in param_list:
	1331	param_list.remove(param)
	1332	if not correct_result or res.fitness is None or \
	1333	not numpy.isfinite(res.fitness) or \
	1334	numpy.any(res.pvec == None) or not \
	1335	numpy.all(numpy.isfinite(res.pvec)):
	1336	data_name = str(None)
	1337	if data is not None:
	1338	data_name = str(data.name)
	1339	model_name = str(None)
	1340	if model is not None:
	1341	model_name = str(model.name)
	1342	msg += "Data %s and Model %s did not fit.\n" % (data_name,
	1343	model_name)
	1344	ERROR = numpy.NAN
	1345	cell = BatchCell()
	1346	cell.label = res.fitness
	1347	cell.value = res.fitness
	1348	batch_outputs["Chi2"].append(ERROR)
	1349	for param in param_list:
	1350	# save value of fixed parameters
	1351	if param not in res.param_list:
	1352	batch_outputs[str(param)].append(ERROR)
	1353	else:
	1354	#save only fitted values
	1355	batch_outputs[param].append(ERROR)
	1356	batch_inputs["error on %s" % str(param)].append(ERROR)
	1357	else:
[acf8e4a5]	1358	# TODO: Why sometimes res.pvec comes with numpy.float64?
	1359	# probably from scipy lmfit
[f76bf17]	1360	if res.pvec.__class__ == numpy.float64:
	1361	res.pvec = [res.pvec]
	1362
	1363	cell = BatchCell()
	1364	cell.label = res.fitness
	1365	cell.value = res.fitness
	1366	batch_outputs["Chi2"].append(cell)
	1367	# add parameters to batch_results
	1368	for param in param_list:
	1369	# save value of fixed parameters
	1370	if param not in res.param_list:
	1371	batch_outputs[str(param)].append(model.getParam(param))
	1372	else:
	1373	index = res.param_list.index(param)
	1374	#save only fitted values
	1375	batch_outputs[param].append(res.pvec[index])
	1376	if res.stderr is not None and \
	1377	len(res.stderr) == len(res.param_list):
	1378	item = res.stderr[index]
	1379	batch_inputs["error on %s" % param].append(item)
	1380	else:
	1381	batch_inputs["error on %s" % param].append('-')
	1382	model.setParam(param, res.pvec[index])
	1383	#fill the batch result with emtpy value if not in the current
	1384	#model
	1385	EMPTY = "-"
	1386	for key in batch_outputs.keys():
	1387	if key not in param_list and key not in ["Chi2", "Data"]:
	1388	batch_outputs[key].append(EMPTY)
	1389
	1390	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
	1391	batch_outputs=batch_outputs)
	1392
	1393	cpage = self.fit_panel.get_page_by_id(pid)
	1394	cpage._on_fit_complete()
	1395	self.page_finder[pid][data.id].set_result(res)
	1396	fitproblem = self.page_finder[pid][data.id]
	1397	qmin, qmax = fitproblem.get_range()
	1398	plot_result = False
	1399	if correct_result:
	1400	if not is_data2d:
	1401	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
	1402	elapsed=None,
	1403	index=res.index, model=model,
	1404	weight=None, fid=data.id,
	1405	toggle_mode_on=False, state=None,
	1406	data=data, update_chisqr=False,
	1407	source='fit', plot_result=plot_result)
	1408	else:
	1409	self._complete2D(image=new_theory, data=data,
	1410	model=model,
	1411	page_id=pid, elapsed=None,
	1412	index=res.index,
	1413	qmin=qmin,
	1414	qmax=qmax, fid=data.id, weight=None,
	1415	toggle_mode_on=False, state=None,
	1416	update_chisqr=False,
	1417	source='fit', plot_result=plot_result)
	1418	self.on_set_batch_result(page_id=pid,
	1419	fid=data.id,
	1420	batch_outputs=batch_outputs,
	1421	batch_inputs=batch_inputs)
	1422
[934ce649]	1423	evt = StatusEvent(status=msg, error="info", type="stop")
	1424	wx.PostEvent(self.parent, evt)
[f76bf17]	1425	# Remove parameters that are not shown
	1426	cpage = self.fit_panel.get_page_by_id(uid)
	1427	tbatch_outputs = {}
	1428	shownkeystr = cpage.get_copy_params()
	1429	for key in batch_outputs.keys():
	1430	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
	1431	tbatch_outputs[key] = batch_outputs[key]
	1432
	1433	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1434	batch_inputs, self.sub_menu)
	1435
	1436	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1437	"""
	1438	"""
	1439	pid = page_id
	1440	if fid not in self.page_finder[pid]:
	1441	return
	1442	fitproblem = self.page_finder[pid][fid]
	1443	index = self.page_finder[pid].nbr_residuals_computed - 1
	1444	residuals = fitproblem.get_residuals()
	1445	theory_data = fitproblem.get_theory_data()
	1446	data = fitproblem.get_fit_data()
	1447	model = fitproblem.get_model()
	1448	#fill batch result information
	1449	if "Data" not in batch_outputs.keys():
	1450	batch_outputs["Data"] = []
[d85c194]	1451	from sas.sasgui.guiframe.data_processor import BatchCell
[f76bf17]	1452	cell = BatchCell()
	1453	cell.label = data.name
	1454	cell.value = index
	1455
	1456	if theory_data != None:
	1457	#Suucessful fit
	1458	theory_data.id = wx.NewId()
	1459	theory_data.name = model.name + "[%s]" % str(data.name)
	1460	if issubclass(theory_data.__class__, Data2D):
	1461	group_id = wx.NewId()
	1462	theory_data.group_id = group_id
	1463	if group_id not in theory_data.list_group_id:
	1464	theory_data.list_group_id.append(group_id)
	1465
	1466	try:
	1467	# associate residuals plot
	1468	if issubclass(residuals.__class__, Data2D):
	1469	group_id = wx.NewId()
	1470	residuals.group_id = group_id
	1471	if group_id not in residuals.list_group_id:
	1472	residuals.list_group_id.append(group_id)
	1473	batch_outputs["Chi2"][index].object = [residuals]
	1474	except:
	1475	pass
	1476
	1477	cell.object = [data, theory_data]
	1478	batch_outputs["Data"].append(cell)
	1479	for key, value in data.meta_data.iteritems():
	1480	if key not in batch_inputs.keys():
	1481	batch_inputs[key] = []
	1482	#if key.lower().strip() != "loader":
	1483	batch_inputs[key].append(value)
	1484	param = "temperature"
	1485	if hasattr(data.sample, param):
	1486	if param not in batch_inputs.keys():
	1487	batch_inputs[param] = []
	1488	batch_inputs[param].append(data.sample.temperature)
	1489
	1490	def _fit_completed(self, result, page_id, batch_outputs,
	1491	batch_inputs=None, pars=None, elapsed=None):
	1492	"""
	1493	Display result of the fit on related panel(s).
	1494	:param result: list of object generated when fit ends
	1495	:param pars: list of names of parameters fitted
	1496	:param page_id: list of page ids which called fit function
	1497	:param elapsed: time spent at the fitting level
	1498	"""
	1499	t1 = time.time()
	1500	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1501	msg = "Fit completed on %s \n" % str_time
	1502	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1503	evt = StatusEvent(status=msg, info="info", type="stop")
	1504	wx.PostEvent(self.parent, evt)
[f76bf17]	1505	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
[373d4ee]	1506	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1507	result = result[0]
	1508	self.fit_thread_list = {}
	1509	if page_id is None:
	1510	page_id = []
	1511	## fit more than 1 model at the same time
	1512	self._mac_sleep(0.2)
	1513	try:
	1514	index = 0
[aac161f1]	1515	# Update potential simfit page(s)
	1516	if self.sim_page is not None:
	1517	self.sim_page._on_fit_complete()
	1518	if self.batch_page:
	1519	self.batch_page._on_fit_complete()
	1520	# Update all fit pages
[f76bf17]	1521	for uid in page_id:
	1522	res = result[index]
[1a5d5f2]	1523	fit_msg = res.mesg
[f76bf17]	1524	if res.fitness is None or \
	1525	not numpy.isfinite(res.fitness) or \
	1526	numpy.any(res.pvec == None) or \
	1527	not numpy.all(numpy.isfinite(res.pvec)):
[1a5d5f2]	1528	fit_msg += "\nFitting did not converge!!!"
[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:
[1a5d5f2]	1551	fit_msg += "\nSingular point: Fitting stopped."
[f76bf17]	1552	except:
[1a5d5f2]	1553	fit_msg += "\nSingular point: Fitting error occurred."
	1554	if fit_msg:
	1555	evt = StatusEvent(status=fit_msg, info="warning", type="stop")
	1556	wx.PostEvent(self.parent, evt)
[f76bf17]	1557
	1558	except:
[e1442d4]	1559	msg = ("Fit completed but the following error occurred: %s"
	1560	% sys.exc_value)
	1561	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
[934ce649]	1562	evt = StatusEvent(status=msg, info="warning", type="stop")
	1563	wx.PostEvent(self.parent, evt)
[f76bf17]	1564
	1565	def _update_fit_button(self, page_id):
	1566	"""
	1567	Update Fit button when fit stopped
	1568
	1569	: parameter page_id: fitpage where the button is
	1570	"""
	1571	if page_id.__class__.__name__ != 'list':
	1572	page_id = [page_id]
	1573	for uid in page_id:
	1574	page = self.fit_panel.get_page_by_id(uid)
	1575	page._on_fit_complete()
	1576
	1577	def _on_show_panel(self, event):
	1578	"""
	1579	"""
	1580	pass
	1581
	1582	def on_reset_batch_flag(self, event):
	1583	"""
	1584	Set batch_reset_flag
	1585	"""
	1586	event.Skip()
	1587	if self.menu1 == None:
	1588	return
	1589	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1590	flag = menu_item.IsChecked()
	1591	if not flag:
	1592	menu_item.Check(False)
	1593	self.batch_reset_flag = True
	1594	else:
	1595	menu_item.Check(True)
	1596	self.batch_reset_flag = False
	1597
	1598	## post a message to status bar
	1599	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
[934ce649]	1600	wx.PostEvent(self.parent, StatusEvent(status=msg))
[f76bf17]	1601
	1602
	1603	def _on_slicer_event(self, event):
	1604	"""
	1605	Receive a panel as event and send it to guiframe
	1606
	1607	:param event: event containing a panel
	1608
	1609	"""
	1610	if event.panel is not None:
	1611	self.slicer_panels.append(event.panel)
	1612	# Set group ID if available
	1613	event_id = self.parent.popup_panel(event.panel)
	1614	event.panel.uid = event_id
	1615	self.mypanels.append(event.panel)
	1616
	1617	def _onclearslicer(self, event):
	1618	"""
	1619	Clear the boxslicer when close the panel associate with this slicer
	1620	"""
	1621	name = event.GetEventObject().frame.GetTitle()
	1622	for panel in self.slicer_panels:
	1623	if panel.window_caption == name:
	1624
	1625	for item in self.parent.panels:
	1626	if hasattr(self.parent.panels[item], "uid"):
	1627	if self.parent.panels[item].uid == panel.base.uid:
	1628	self.parent.panels[item].onClearSlicer(event)
	1629	#self.parent._mgr.Update()
	1630	break
	1631	break
	1632
	1633	def _on_model_panel(self, evt):
	1634	"""
	1635	react to model selection on any combo box or model menu.plot the model
	1636
	1637	:param evt: wx.combobox event
	1638
	1639	"""
	1640	model = evt.model
	1641	uid = evt.uid
	1642	qmin = evt.qmin
	1643	qmax = evt.qmax
	1644	caption = evt.caption
	1645	enable_smearer = evt.enable_smearer
	1646	if model == None:
	1647	return
	1648	if uid not in self.page_finder.keys():
	1649	return
	1650	# save the name containing the data name with the appropriate model
	1651	self.page_finder[uid].set_model(model)
	1652	self.page_finder[uid].enable_smearing(enable_smearer)
	1653	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
	1654	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1655	if self.sim_page is not None and not self.batch_on:
	1656	self.sim_page.draw_page()
	1657	if self.batch_page is not None and self.batch_on:
	1658	self.batch_page.draw_page()
	1659
	1660	def _update1D(self, x, output):
	1661	"""
	1662	Update the output of plotting model 1D
	1663	"""
	1664	msg = "Plot updating ... "
	1665	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
	1666
[c807957]	1667	def create_theory_1D(self, x, y, page_id, model, data, state,
[804fefa]	1668	data_description, data_id, dy=None):
[c807957]	1669	"""
	1670	Create a theory object associate with an existing Data1D
	1671	and add it to the data manager.
	1672	@param x: x-values of the data
	1673	@param y: y_values of the data
	1674	@param page_id: fit page ID
	1675	@param model: model used for fitting
	1676	@param data: Data1D object to create the theory for
	1677	@param state: model state
	1678	@param data_description: title to use in the data manager
	1679	@param data_id: unique data ID
	1680	"""
	1681	new_plot = Data1D(x=x, y=y)
[6a0c75d1]	1682	if dy is None:
	1683	new_plot.is_data = False
	1684	new_plot.dy = numpy.zeros(len(y))
	1685	# If this is a theory curve, pick the proper symbol to make it a curve
	1686	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	1687	else:
	1688	new_plot.is_data = True
	1689	new_plot.dy = dy
[804fefa]	1690	new_plot.interactive = True
	1691	new_plot.dx = None
	1692	new_plot.dxl = None
	1693	new_plot.dxw = None
[c807957]	1694	_yaxis, _yunit = data.get_yaxis()
	1695	_xaxis, _xunit = data.get_xaxis()
	1696	new_plot.title = data.name
	1697	new_plot.group_id = data.group_id
	1698	if new_plot.group_id == None:
	1699	new_plot.group_id = data.group_id
	1700	new_plot.id = data_id
	1701	# Find if this theory was already plotted and replace that plot given
	1702	# the same id
	1703	self.page_finder[page_id].get_theory_data(fid=data.id)
	1704
	1705	if data.is_data:
	1706	data_name = str(data.name)
	1707	else:
	1708	data_name = str(model.__class__.__name__)
	1709
	1710	new_plot.name = data_description + " [" + data_name + "]"
	1711	new_plot.xaxis(_xaxis, _xunit)
	1712	new_plot.yaxis(_yaxis, _yunit)
	1713	self.page_finder[page_id].set_theory_data(data=new_plot,
	1714	fid=data.id)
	1715	self.parent.update_theory(data_id=data.id, theory=new_plot,
	1716	state=state)
	1717	return new_plot
	1718
[f76bf17]	1719	def _complete1D(self, x, y, page_id, elapsed, index, model,
	1720	weight=None, fid=None,
	1721	toggle_mode_on=False, state=None,
	1722	data=None, update_chisqr=True,
[804fefa]	1723	source='model', plot_result=True,
	1724	unsmeared_model=None, unsmeared_data=None,
[ca4d985]	1725	unsmeared_error=None, sq_model=None, pq_model=None):
[f76bf17]	1726	"""
[c807957]	1727	Complete plotting 1D data
	1728	@param unsmeared_model: fit model, without smearing
[804fefa]	1729	@param unsmeared_data: data, rescaled to unsmeared model
[edbe974]	1730	@param unsmeared_error: data error, rescaled to unsmeared model
[f76bf17]	1731	"""
	1732	try:
	1733	numpy.nan_to_num(y)
[c807957]	1734	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
	1735	data_description=model.name,
	1736	data_id=str(page_id) + " " + data.name)
	1737	if unsmeared_model is not None:
	1738	self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
	1739	data_description=model.name + " unsmeared",
	1740	data_id=str(page_id) + " " + data.name + " unsmeared")
[f76bf17]	1741
[286c757]	1742	if unsmeared_data is not None and unsmeared_error is not None:
	1743	self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
	1744	data_description="Data unsmeared",
	1745	data_id="Data " + data.name + " unsmeared",
	1746	dy=unsmeared_error)
[ca4d985]	1747
	1748	if sq_model is not None and pq_model is not None:
	1749	self.create_theory_1D(x, sq_model, page_id, model, data, state,
	1750	data_description=model.name + " S(q)",
	1751	data_id=str(page_id) + " " + data.name + " S(q)")
	1752	self.create_theory_1D(x, pq_model, page_id, model, data, state,
	1753	data_description=model.name + " P(q)",
	1754	data_id=str(page_id) + " " + data.name + " P(q)")
	1755
[804fefa]	1756
[f76bf17]	1757	current_pg = self.fit_panel.get_page_by_id(page_id)
	1758	title = new_plot.title
	1759	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1760	if not batch_on:
	1761	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1762	title=str(title)))
	1763	elif plot_result:
	1764	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1765	if data.id == top_data_id:
	1766	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1767	title=str(title)))
	1768	caption = current_pg.window_caption
	1769	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
	1770
	1771	self.page_finder[page_id].set_theory_data(data=new_plot,
	1772	fid=data.id)
	1773	if toggle_mode_on:
	1774	wx.PostEvent(self.parent,
	1775	NewPlotEvent(group_id=str(page_id) + " Model2D",
	1776	action="Hide"))
	1777	else:
	1778	if update_chisqr:
	1779	wx.PostEvent(current_pg,
	1780	Chi2UpdateEvent(output=self._cal_chisqr(
	1781	data=data,
	1782	fid=fid,
	1783	weight=weight,
	1784	page_id=page_id,
	1785	index=index)))
	1786	else:
	1787	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1788	index=index, weight=weight)
	1789
	1790	msg = "Computation completed!"
	1791	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1792	except:
	1793	raise
	1794
[934ce649]	1795	def _calc_exception(self, etype, value, tb):
	1796	"""
	1797	Handle exception from calculator by posting it as an error.
	1798	"""
	1799	logging.error("".join(traceback.format_exception(etype, value, tb)))
	1800	msg = traceback.format_exception(etype, value, tb, limit=1)
	1801	evt = StatusEvent(status="".join(msg), type="stop", info="error")
	1802	wx.PostEvent(self.parent, evt)
	1803
[f76bf17]	1804	def _update2D(self, output, time=None):
	1805	"""
	1806	Update the output of plotting model
	1807	"""
[934ce649]	1808	msg = "Plot updating ... "
	1809	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
[f76bf17]	1810
	1811	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1812	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
	1813	update_chisqr=True, source='model', plot_result=True):
	1814	"""
	1815	Complete get the result of modelthread and create model 2D
	1816	that can be plot.
	1817	"""
	1818	numpy.nan_to_num(image)
	1819	new_plot = Data2D(image=image, err_image=data.err_data)
	1820	new_plot.name = model.name + '2d'
	1821	new_plot.title = "Analytical model 2D "
	1822	new_plot.id = str(page_id) + " " + data.name
	1823	new_plot.group_id = str(page_id) + " Model2D"
	1824	new_plot.detector = data.detector
	1825	new_plot.source = data.source
	1826	new_plot.is_data = False
	1827	new_plot.qx_data = data.qx_data
	1828	new_plot.qy_data = data.qy_data
	1829	new_plot.q_data = data.q_data
	1830	new_plot.mask = data.mask
	1831	## plot boundaries
	1832	new_plot.ymin = data.ymin
	1833	new_plot.ymax = data.ymax
	1834	new_plot.xmin = data.xmin
	1835	new_plot.xmax = data.xmax
	1836	title = data.title
	1837
	1838	new_plot.is_data = False
	1839	if data.is_data:
	1840	data_name = str(data.name)
	1841	else:
	1842	data_name = str(model.__class__.__name__) + '2d'
	1843
	1844	if len(title) > 1:
	1845	new_plot.title = "Model2D for %s " % model.name + data_name
	1846	new_plot.name = model.name + " [" + \
	1847	data_name + "]"
	1848	theory_data = deepcopy(new_plot)
	1849
	1850	self.page_finder[page_id].set_theory_data(data=theory_data,
	1851	fid=data.id)
	1852	self.parent.update_theory(data_id=data.id,
	1853	theory=new_plot,
	1854	state=state)
	1855	current_pg = self.fit_panel.get_page_by_id(page_id)
	1856	title = new_plot.title
	1857	if not source == 'fit' and plot_result:
	1858	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1859	title=title))
	1860	if toggle_mode_on:
	1861	wx.PostEvent(self.parent,
	1862	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1863	action="Hide"))
	1864	else:
	1865	# Chisqr in fitpage
	1866	if update_chisqr:
	1867	wx.PostEvent(current_pg,
	1868	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
	1869	weight=weight,
	1870	fid=fid,
	1871	page_id=page_id,
	1872	index=index)))
	1873	else:
	1874	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1875	index=index, weight=weight)
	1876	msg = "Computation completed!"
	1877	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1878
	1879	def _draw_model2D(self, model, page_id, qmin,
	1880	qmax,
	1881	data=None, smearer=None,
	1882	description=None, enable2D=False,
	1883	state=None,
	1884	fid=None,
	1885	weight=None,
	1886	toggle_mode_on=False,
	1887	update_chisqr=True, source='model'):
	1888	"""
	1889	draw model in 2D
	1890
	1891	:param model: instance of the model to draw
	1892	:param description: the description of the model
	1893	:param enable2D: when True allows to draw model 2D
	1894	:param qmin: the minimum value to draw model 2D
	1895	:param qmax: the maximum value to draw model 2D
	1896	:param qstep: the number of division of Qx and Qy of the model to draw
	1897
	1898	"""
	1899	if not enable2D:
	1900	return None
	1901	try:
	1902	from model_thread import Calc2D
	1903	## If a thread is already started, stop it
	1904	if (self.calc_2D is not None) and self.calc_2D.isrunning():
	1905	self.calc_2D.stop()
	1906	## stop just raises a flag to tell the thread to kill
	1907	## itself -- see the fix in Calc1D implemented to fix
	1908	## an actual problem. Seems the fix should also go here
	1909	## and may be the cause of other noted instabilities
	1910	##
	1911	## -PDB August 12, 2014
	1912	while self.calc_2D.isrunning():
	1913	time.sleep(0.1)
	1914	self.calc_2D = Calc2D(model=model,
[934ce649]	1915	data=data,
	1916	page_id=page_id,
	1917	smearer=smearer,
	1918	qmin=qmin,
	1919	qmax=qmax,
	1920	weight=weight,
	1921	fid=fid,
	1922	toggle_mode_on=toggle_mode_on,
	1923	state=state,
	1924	completefn=self._complete2D,
	1925	update_chisqr=update_chisqr,
	1926	exception_handler=self._calc_exception,
	1927	source=source)
[f76bf17]	1928	self.calc_2D.queue()
	1929	except:
	1930	raise
	1931
	1932	def _draw_model1D(self, model, page_id, data,
	1933	qmin, qmax, smearer=None,
	1934	state=None,
	1935	weight=None,
	1936	fid=None,
	1937	toggle_mode_on=False, update_chisqr=True, source='model',
	1938	enable1D=True):
	1939	"""
	1940	Draw model 1D from loaded data1D
	1941
	1942	:param data: loaded data
	1943	:param model: the model to plot
	1944
	1945	"""
	1946	if not enable1D:
	1947	return
	1948	try:
	1949	from model_thread import Calc1D
	1950	## If a thread is already started, stop it
	1951	if (self.calc_1D is not None) and self.calc_1D.isrunning():
	1952	self.calc_1D.stop()
	1953	## stop just raises the flag -- the thread is supposed to
	1954	## then kill itself but cannot. Paul Kienzle came up with
	1955	## this fix to prevent threads from stepping on each other
	1956	## which was causing a simple custom model to crash Sasview.
	1957	## We still don't know why the fit sometimes lauched a second
	1958	## thread -- something which should also be investigated.
	1959	## The thread approach was implemented in order to be able
	1960	## to lauch a computation in a separate thread from the GUI so
	1961	## that the GUI can still respond to user input including
	1962	## a request to stop the computation.
	1963	## It seems thus that the whole thread approach used here
	1964	## May need rethinking
	1965	##
	1966	## -PDB August 12, 2014
	1967	while self.calc_1D.isrunning():
	1968	time.sleep(0.1)
	1969	self.calc_1D = Calc1D(data=data,
	1970	model=model,
	1971	page_id=page_id,
	1972	qmin=qmin,
	1973	qmax=qmax,
	1974	smearer=smearer,
	1975	state=state,
	1976	weight=weight,
	1977	fid=fid,
	1978	toggle_mode_on=toggle_mode_on,
	1979	completefn=self._complete1D,
	1980	#updatefn = self._update1D,
	1981	update_chisqr=update_chisqr,
[934ce649]	1982	exception_handler=self._calc_exception,
[f76bf17]	1983	source=source)
	1984	self.calc_1D.queue()
	1985	except:
	1986	msg = " Error occurred when drawing %s Model 1D: " % model.name
	1987	msg += " %s" % sys.exc_value
	1988	wx.PostEvent(self.parent, StatusEvent(status=msg))
	1989
	1990	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
	1991	"""
	1992	Get handy Chisqr using the output from draw1D and 2D,
	1993	instead of calling expansive CalcChisqr in guithread
	1994	"""
	1995	try:
	1996	data_copy = deepcopy(data)
	1997	except:
	1998	return
	1999	# default chisqr
	2000	chisqr = None
	2001	#to compute chisq make sure data has valid data
	2002	# return None if data == None
	2003	if not check_data_validity(data_copy) or data_copy == None:
	2004	return chisqr
	2005
	2006	# Get data: data I, theory I, and data dI in order
	2007	if data_copy.__class__.__name__ == "Data2D":
	2008	if index == None:
	2009	index = numpy.ones(len(data_copy.data), dtype=bool)
	2010	if weight != None:
	2011	data_copy.err_data = weight
	2012	# get rid of zero error points
	2013	index = index & (data_copy.err_data != 0)
	2014	index = index & (numpy.isfinite(data_copy.data))
	2015	fn = data_copy.data[index]
	2016	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2017	if theory_data == None:
	2018	return chisqr
	2019	gn = theory_data.data[index]
	2020	en = data_copy.err_data[index]
	2021	else:
	2022	# 1 d theory from model_thread is only in the range of index
	2023	if index == None:
	2024	index = numpy.ones(len(data_copy.y), dtype=bool)
	2025	if weight != None:
	2026	data_copy.dy = weight
	2027	if data_copy.dy == None or data_copy.dy == []:
	2028	dy = numpy.ones(len(data_copy.y))
	2029	else:
[acf8e4a5]	2030	## Set consistently w/AbstractFitengine:
[f76bf17]	2031	# But this should be corrected later.
	2032	dy = deepcopy(data_copy.dy)
	2033	dy[dy == 0] = 1
	2034	fn = data_copy.y[index]
	2035
	2036	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2037	if theory_data == None:
	2038	return chisqr
	2039	gn = theory_data.y
	2040	en = dy[index]
	2041
	2042	# residual
	2043	try:
	2044	res = (fn - gn) / en
	2045	except ValueError:
	2046	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
	2047	return
	2048
	2049	residuals = res[numpy.isfinite(res)]
	2050	# get chisqr only w/finite
	2051	chisqr = numpy.average(residuals * residuals)
	2052
	2053	self._plot_residuals(page_id=page_id, data=data_copy,
	2054	fid=fid,
	2055	weight=weight, index=index)
	2056
	2057	return chisqr
	2058
	2059	def _plot_residuals(self, page_id, weight, fid=None,
	2060	data=None, index=None):
	2061	"""
	2062	Plot the residuals
	2063
	2064	:param data: data
	2065	:param index: index array (bool)
	2066	: Note: this is different from the residuals in cal_chisqr()
	2067	"""
	2068	data_copy = deepcopy(data)
	2069	# Get data: data I, theory I, and data dI in order
	2070	if data_copy.__class__.__name__ == "Data2D":
	2071	# build residuals
	2072	residuals = Data2D()
	2073	#residuals.copy_from_datainfo(data)
	2074	# Not for trunk the line below, instead use the line above
	2075	data_copy.clone_without_data(len(data_copy.data), residuals)
	2076	residuals.data = None
	2077	fn = data_copy.data
	2078	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2079	gn = theory_data.data
	2080	if weight == None:
	2081	en = data_copy.err_data
	2082	else:
	2083	en = weight
	2084	residuals.data = (fn - gn) / en
	2085	residuals.qx_data = data_copy.qx_data
	2086	residuals.qy_data = data_copy.qy_data
	2087	residuals.q_data = data_copy.q_data
	2088	residuals.err_data = numpy.ones(len(residuals.data))
	2089	residuals.xmin = min(residuals.qx_data)
	2090	residuals.xmax = max(residuals.qx_data)
	2091	residuals.ymin = min(residuals.qy_data)
	2092	residuals.ymax = max(residuals.qy_data)
	2093	residuals.q_data = data_copy.q_data
	2094	residuals.mask = data_copy.mask
	2095	residuals.scale = 'linear'
	2096	# check the lengths
	2097	if len(residuals.data) != len(residuals.q_data):
	2098	return
	2099	else:
	2100	# 1 d theory from model_thread is only in the range of index
	2101	if data_copy.dy == None or data_copy.dy == []:
	2102	dy = numpy.ones(len(data_copy.y))
	2103	else:
	2104	if weight == None:
	2105	dy = numpy.ones(len(data_copy.y))
	2106	## Set consitently w/AbstractFitengine:
	2107	## But this should be corrected later.
	2108	else:
	2109	dy = weight
	2110	dy[dy == 0] = 1
	2111	fn = data_copy.y[index]
	2112	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2113	gn = theory_data.y
	2114	en = dy[index]
	2115	# build residuals
	2116	residuals = Data1D()
	2117	try:
	2118	residuals.y = (fn - gn) / en
	2119	except:
	2120	msg = "ResidualPlot Error: different # of data points in theory"
	2121	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	2122	residuals.y = (fn - gn[index]) / en
	2123	residuals.x = data_copy.x[index]
	2124	residuals.dy = numpy.ones(len(residuals.y))
	2125	residuals.dx = None
	2126	residuals.dxl = None
	2127	residuals.dxw = None
	2128	residuals.ytransform = 'y'
	2129	# For latter scale changes
	2130	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2131	residuals.yaxis('\\rm{Residuals} ', 'normalized')
	2132	theory_name = str(theory_data.name.split()[0])
	2133	new_plot = residuals
	2134	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
	2135	str(data.name) + "]"
	2136	## allow to highlight data when plotted
	2137	new_plot.interactive = True
	2138	## when 2 data have the same id override the 1 st plotted
	2139	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
	2140	##group_id specify on which panel to plot this data
	2141	group_id = self.page_finder[page_id].get_graph_id()
	2142	if group_id == None:
	2143	group_id = data.group_id
	2144	new_plot.group_id = "res" + str(group_id)
	2145	#new_plot.is_data = True
	2146	##post data to plot
	2147	title = new_plot.name
	2148	self.page_finder[page_id].set_residuals(residuals=new_plot,
	2149	fid=data.id)
	2150	self.parent.update_theory(data_id=data.id, theory=new_plot)
	2151	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	2152	if not batch_on:
	2153	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ 1a5d5f2

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