fitting.py @ 5156918

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

Last change on this file since 5156918 was 5156918, checked in by wojciech, 7 years ago
Merge branch 'master' of https://github.com/SasView/sasview into ticket-854
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
[73cbeec]	47	from sas.sasgui.perspectives.fitting.gpu_options import GpuOptions
[f76bf17]	48
[934ce649]	49	from . import models
	50
[f76bf17]	51	MAX_NBR_DATA = 4
	52
	53	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
	54
	55
	56	if sys.platform == "win32":
	57	ON_MAC = False
	58	else:
	59	ON_MAC = True
	60
[05228b0]	61	import bumps.options
	62	from bumps.gui.fit_dialog import show_fit_config
	63	try:
	64	from bumps.gui.fit_dialog import EVT_FITTER_CHANGED
	65	except ImportError:
[243fbc0]	66	# CRUFT: bumps 0.7.5.8 and below
[05228b0]	67	EVT_FITTER_CHANGED = None # type: wx.PyCommandEvent
[f76bf17]	68
	69	class Plugin(PluginBase):
	70	"""
	71	Fitting plugin is used to perform fit
	72	"""
[f21d496]	73	def __init__(self):
	74	PluginBase.__init__(self, name="Fitting")
[f76bf17]	75
	76	#list of panel to send to guiframe
	77	self.mypanels = []
	78	# reference to the current running thread
	79	self.calc_2D = None
	80	self.calc_1D = None
	81
	82	self.color_dict = {}
	83
	84	self.fit_thread_list = {}
	85	self.residuals = None
	86	self.weight = None
	87	self.fit_panel = None
	88	self.plot_panel = None
	89	# Start with a good default
	90	self.elapsed = 0.022
	91	self.fit_panel = None
	92	## dictionary of page closed and id
	93	self.closed_page_dict = {}
	94	## Relative error desired in the sum of squares (float)
	95	self.batch_reset_flag = True
	96	#List of selected data
	97	self.selected_data_list = []
	98	## list of slicer panel created to display slicer parameters and results
	99	self.slicer_panels = []
	100	# model 2D view
	101	self.model2D_id = None
	102	#keep reference of the simultaneous fit page
	103	self.sim_page = None
	104	self.sim_menu = None
	105	self.batch_page = None
	106	self.batch_menu = None
	107	self.index_model = 0
	108	self.test_model_color = None
	109	#Create a reader for fit page's state
	110	self.state_reader = None
	111	self._extensions = '.fitv'
	112	self.menu1 = None
	113	self.new_model_frame = None
	114
	115	self.temp_state = []
	116	self.state_index = 0
	117	self.sfile_ext = None
	118	# take care of saving data, model and page associated with each other
	119	self.page_finder = {}
	120	# Log startup
	121	logging.info("Fitting plug-in started")
	122	self.batch_capable = self.get_batch_capable()
	123
	124	def get_batch_capable(self):
	125	"""
	126	Check if the plugin has a batch capability
	127	"""
	128	return True
	129
	130	def create_fit_problem(self, page_id):
	131	"""
	132	Given an ID create a fitproblem container
	133	"""
	134	self.page_finder[page_id] = FitProblemDictionary()
	135
	136	def delete_fit_problem(self, page_id):
	137	"""
	138	Given an ID create a fitproblem container
	139	"""
	140	if page_id in self.page_finder.iterkeys():
	141	del self.page_finder[page_id]
	142
	143	def add_color(self, color, id):
	144	"""
	145	adds a color as a key with a plot id as its value to a dictionary
	146	"""
	147	self.color_dict[id] = color
	148
	149	def on_batch_selection(self, flag):
	150	"""
	151	switch the the notebook of batch mode or not
	152	"""
	153	self.batch_on = flag
	154	if self.fit_panel is not None:
	155	self.fit_panel.batch_on = self.batch_on
	156
	157	def populate_menu(self, owner):
	158	"""
	159	Create a menu for the Fitting plug-in
	160
	161	:param id: id to create a menu
	162	:param owner: owner of menu
	163
	164	:return: list of information to populate the main menu
	165
	166	"""
	167	#Menu for fitting
	168	self.menu1 = wx.Menu()
	169	id1 = wx.NewId()
	170	simul_help = "Add new fit panel"
	171	self.menu1.Append(id1, '&New Fit Page', simul_help)
	172	wx.EVT_MENU(owner, id1, self.on_add_new_page)
	173	self.menu1.AppendSeparator()
	174	self.id_simfit = wx.NewId()
	175	simul_help = "Constrained or Simultaneous Fit"
	176	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
	177	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
	178	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
	179	self.sim_menu.Enable(False)
	180	#combined Batch
	181	self.id_batchfit = wx.NewId()
	182	batch_help = "Combined Batch"
	183	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
	184	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
	185	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
	186	self.batch_menu.Enable(False)
	187
	188	self.menu1.AppendSeparator()
	189	self.id_bumps_options = wx.NewId()
	190	bopts_help = "Fitting options"
	191	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
	192	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
	193	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
	194	self.bumps_options_menu.Enable(True)
	195
[73cbeec]	196	self.id_gpu_options_panel = wx.NewId()
	197	self.menu1.Append(self.id_gpu_options_panel, "OpenCL Options", "Choose OpenCL driver or turn it off")
	198	wx.EVT_MENU(owner, self.id_gpu_options_panel, self.on_gpu_options)
	199
[f76bf17]	200	self.id_result_panel = wx.NewId()
	201	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
[9776c82]	202	wx.EVT_MENU(owner, self.id_result_panel, self.on_fit_results)
[f76bf17]	203	self.menu1.AppendSeparator()
	204
	205	self.id_reset_flag = wx.NewId()
	206	resetf_help = "BatchFit: If checked, the initial param values will be "
	207	resetf_help += "propagated from the previous results. "
	208	resetf_help += "Otherwise, the same initial param values will be used "
	209	resetf_help += "for all fittings."
	210	self.menu1.AppendCheckItem(self.id_reset_flag,
	211	"Chain Fitting [BatchFit Only]",
	212	resetf_help)
	213	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
	214	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
	215	chain_menu.Check(not self.batch_reset_flag)
	216	chain_menu.Enable(self.batch_on)
	217
	218	self.menu1.AppendSeparator()
	219	self.edit_model_menu = wx.Menu()
	220	# Find and put files name in menu
	221	try:
	222	self.set_edit_menu(owner=owner)
	223	except:
	224	raise
	225
	226	self.id_edit = wx.NewId()
[ec72ceb]	227	self.menu1.AppendMenu(self.id_edit, "Plugin Model Operations",
[e92a352]	228	self.edit_model_menu)
[f76bf17]	229	#create menubar items
	230	return [(self.menu1, self.sub_menu)]
	231
	232	def edit_custom_model(self, event):
	233	"""
	234	Get the python editor panel
	235	"""
[f21d496]	236	event_id = event.GetId()
	237	label = self.edit_menu.GetLabel(event_id)
[d85c194]	238	from sas.sasgui.perspectives.calculator.pyconsole import PyConsole
[f76bf17]	239	filename = os.path.join(models.find_plugins_dir(), label)
	240	frame = PyConsole(parent=self.parent, manager=self,
	241	panel=self.fit_panel,
[ec72ceb]	242	title='Advanced Plugin Model Editor',
[f76bf17]	243	filename=filename)
	244	self.put_icon(frame)
	245	frame.Show(True)
	246
	247	def delete_custom_model(self, event):
	248	"""
	249	Delete custom model file
	250	"""
[f21d496]	251	event_id = event.GetId()
	252	label = self.delete_menu.GetLabel(event_id)
[f76bf17]	253	toks = os.path.splitext(label)
	254	path = os.path.join(models.find_plugins_dir(), toks[0])
	255	try:
	256	for ext in ['.py', '.pyc']:
	257	p_path = path + ext
	258	os.remove(p_path)
	259	self.update_custom_combo()
	260	if os.path.isfile(p_path):
[e92a352]	261	msg = "Sorry! unable to delete the default "
	262	msg += "plugin model... \n"
[f76bf17]	263	msg += "Please manually remove the files (.py, .pyc) "
	264	msg += "in the 'plugin_models' folder \n"
	265	msg += "inside of the SasView application, "
	266	msg += "and try it again."
	267	wx.MessageBox(msg, 'Info')
[934ce649]	268	#evt = StatusEvent(status=msg, type='stop', info='warning')
	269	#wx.PostEvent(self.parent, evt)
[f76bf17]	270	else:
[f21d496]	271	self.delete_menu.Delete(event_id)
[f76bf17]	272	for item in self.edit_menu.GetMenuItems():
	273	if item.GetLabel() == label:
	274	self.edit_menu.DeleteItem(item)
[e92a352]	275	msg = "The plugin model, %s, has been deleted." % label
[934ce649]	276	evt = StatusEvent(status=msg, type='stop', info='info')
	277	wx.PostEvent(self.parent, evt)
[f76bf17]	278	break
[7673ecd]	279	except Exception:
	280	import traceback; traceback.print_exc()
[f76bf17]	281	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
	282	wx.MessageBox(msg, 'Error')
	283
	284	def make_sum_model(self, event):
	285	"""
	286	Edit summodel template and make one
	287	"""
[f21d496]	288	event_id = event.GetId()
[f76bf17]	289	model_manager = models.ModelManager()
	290	model_list = model_manager.get_model_name_list()
	291	plug_dir = models.find_plugins_dir()
[6f16e25]	292	textdial = TextDialog(None, self, wx.ID_ANY, 'Easy Sum/Multi(p1, p2) Editor',
[f76bf17]	293	model_list, plug_dir)
	294	self.put_icon(textdial)
	295	textdial.ShowModal()
	296	textdial.Destroy()
	297
	298	def make_new_model(self, event):
	299	"""
	300	Make new model
	301	"""
	302	if self.new_model_frame != None:
	303	self.new_model_frame.Show(False)
	304	self.new_model_frame.Show(True)
	305	else:
[f21d496]	306	event_id = event.GetId()
[f76bf17]	307	dir_path = models.find_plugins_dir()
[ec72ceb]	308	title = "New Plugin Model Function"
[f76bf17]	309	self.new_model_frame = EditorWindow(parent=self, base=self,
	310	path=dir_path, title=title)
	311	self.put_icon(self.new_model_frame)
	312	self.new_model_frame.Show(True)
	313
[105ef92]	314	def load_plugin_models(self, event):
	315	"""
	316	Update of models in plugin_models folder
	317	"""
	318	event_id = event.GetId()
[c807957]	319	self.update_custom_combo()
[105ef92]	320
[f76bf17]	321	def update_custom_combo(self):
	322	"""
	323	Update custom model list in the fitpage combo box
	324	"""
[ec72ceb]	325	custom_model = 'Plugin Models'
[f76bf17]	326	try:
	327	# Update edit menus
	328	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
	329	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
	330	temp = self.fit_panel.reset_pmodel_list()
	331	if temp:
[e92a352]	332	# Set the new plugin model list for all fit pages
[f76bf17]	333	for uid, page in self.fit_panel.opened_pages.iteritems():
	334	if hasattr(page, "formfactorbox"):
	335	page.model_list_box = temp
	336	current_val = page.formfactorbox.GetLabel()
	337	#if page.plugin_rbutton.GetValue():
	338	mod_cat = page.categorybox.GetStringSelection()
	339	if mod_cat == custom_model:
	340	#pos = page.formfactorbox.GetSelection()
	341	page._show_combox_helper()
	342	new_val = page.formfactorbox.GetLabel()
	343	if current_val != new_val and new_val != '':
	344	page.formfactorbox.SetLabel(new_val)
	345	else:
	346	page.formfactorbox.SetLabel(current_val)
	347	except:
[c807957]	348	logging.error("update_custom_combo: %s", sys.exc_value)
[f76bf17]	349
	350	def set_edit_menu(self, owner):
	351	"""
	352	Set list of the edit model menu labels
	353	"""
[f21d496]	354	wx_id = wx.NewId()
[f76bf17]	355	#new_model_menu = wx.Menu()
[ec72ceb]	356	self.edit_model_menu.Append(wx_id, 'New Plugin Model',
[f76bf17]	357	'Add a new model function')
[f21d496]	358	wx.EVT_MENU(owner, wx_id, self.make_new_model)
[105ef92]	359
[f21d496]	360	wx_id = wx.NewId()
	361	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
[f76bf17]	362	'Sum of two model functions')
[f21d496]	363	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
[105ef92]	364
[f76bf17]	365	e_id = wx.NewId()
	366	self.edit_menu = wx.Menu()
	367	self.edit_model_menu.AppendMenu(e_id,
[ec72ceb]	368	'Advanced Plugin Editor', self.edit_menu)
[f76bf17]	369	self.set_edit_menu_helper(owner, self.edit_custom_model)
	370
	371	d_id = wx.NewId()
	372	self.delete_menu = wx.Menu()
	373	self.edit_model_menu.AppendMenu(d_id,
[ec72ceb]	374	'Delete Plugin Models', self.delete_menu)
[f76bf17]	375	self.set_edit_menu_helper(owner, self.delete_custom_model)
	376
[105ef92]	377	wx_id = wx.NewId()
[ec72ceb]	378	self.edit_model_menu.Append(wx_id, 'Load Plugin Models',
[105ef92]	379	'(Re)Load all models present in user plugin_models folder')
	380	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
[bc7b5da2]	381
[f76bf17]	382	def set_edit_menu_helper(self, owner=None, menu=None):
	383	"""
	384	help for setting list of the edit model menu labels
	385	"""
	386	if menu == None:
	387	menu = self.edit_custom_model
	388	list_fnames = os.listdir(models.find_plugins_dir())
	389	list_fnames.sort()
	390	for f_item in list_fnames:
	391	name = os.path.basename(f_item)
	392	toks = os.path.splitext(name)
	393	if toks[-1] == '.py' and not toks[0] == '__init__':
	394	if menu == self.edit_custom_model:
	395	if toks[0] == 'easy_sum_of_p1_p2':
	396	continue
	397	submenu = self.edit_menu
	398	else:
	399	submenu = self.delete_menu
	400	has_file = False
	401	for item in submenu.GetMenuItems():
	402	if name == submenu.GetLabel(item.GetId()):
	403	has_file = True
	404	if not has_file:
[f21d496]	405	wx_id = wx.NewId()
	406	submenu.Append(wx_id, name)
	407	wx.EVT_MENU(owner, wx_id, menu)
[f76bf17]	408	has_file = False
	409
	410	def put_icon(self, frame):
	411	"""
	412	Put icon in the frame title bar
	413	"""
	414	if hasattr(frame, "IsIconized"):
	415	if not frame.IsIconized():
	416	try:
	417	icon = self.parent.GetIcon()
	418	frame.SetIcon(icon)
	419	except:
	420	pass
	421
	422	def on_add_sim_page(self, event):
	423	"""
	424	Create a page to access simultaneous fit option
	425	"""
[f21d496]	426	event_id = event.GetId()
[f76bf17]	427	caption = "Const & Simul Fit"
	428	page = self.sim_page
[f21d496]	429	if event_id == self.id_batchfit:
[f76bf17]	430	caption = "Combined Batch"
	431	page = self.batch_page
	432
	433	def set_focus_page(page):
	434	page.Show(True)
	435	page.Refresh()
	436	page.SetFocus()
	437	#self.parent._mgr.Update()
	438	msg = "%s already opened\n" % str(page.window_caption)
	439	wx.PostEvent(self.parent, StatusEvent(status=msg))
	440
	441	if page != None:
	442	return set_focus_page(page)
	443	if caption == "Const & Simul Fit":
	444	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	445	else:
	446	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
	447
	448	def get_context_menu(self, plotpanel=None):
	449	"""
	450	Get the context menu items available for P(r).them allow fitting option
	451	for Data2D and Data1D only.
	452
	453	:param graph: the Graph object to which we attach the context menu
	454
	455	:return: a list of menu items with call-back function
	456
	457	:note: if Data1D was generated from Theory1D
	458	the fitting option is not allowed
	459
	460	"""
	461	self.plot_panel = plotpanel
	462	graph = plotpanel.graph
	463	fit_option = "Select data for fitting"
	464	fit_hint = "Dialog with fitting parameters "
	465
	466	if graph.selected_plottable not in plotpanel.plots:
	467	return []
	468	item = plotpanel.plots[graph.selected_plottable]
	469	if item.__class__.__name__ is "Data2D":
	470	if hasattr(item, "is_data"):
	471	if item.is_data:
	472	return [[fit_option, fit_hint, self._onSelect]]
	473	else:
	474	return []
	475	return [[fit_option, fit_hint, self._onSelect]]
	476	else:
	477
	478	# if is_data is true , this in an actual data loaded
	479	#else it is a data created from a theory model
	480	if hasattr(item, "is_data"):
	481	if item.is_data:
	482	return [[fit_option, fit_hint, self._onSelect]]
	483	else:
	484	return []
	485	return [[fit_option, fit_hint, self._onSelect]]
	486	return []
	487
	488	def get_panels(self, parent):
	489	"""
	490	Create and return a list of panel objects
	491	"""
	492	self.parent = parent
	493	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
	494	# Creation of the fit panel
	495	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
	496	self.fit_panel = FitPanel(parent=self.frame, manager=self)
	497	self.frame.set_panel(self.fit_panel)
	498	self._frame_set_helper()
	499	self.on_add_new_page(event=None)
	500	#Set the manager for the main panel
	501	self.fit_panel.set_manager(self)
	502	# List of windows used for the perspective
	503	self.perspective = []
	504	self.perspective.append(self.fit_panel.window_name)
	505
	506	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
	507	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
	508	self.perspective.append(self.result_panel.window_name)
	509
	510	#index number to create random model name
	511	self.index_model = 0
	512	self.index_theory = 0
	513	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
	514	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[05228b0]	515
[243fbc0]	516	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
[05228b0]	517	if EVT_FITTER_CHANGED is not None:
	518	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
	519	self._set_fitter_label(bumps.options.FIT_CONFIG)
	520
[f76bf17]	521	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
	522	#Create reader when fitting panel are created
	523	self.state_reader = Reader(self.set_state)
	524	#append that reader to list of available reader
	525	loader = Loader()
	526	loader.associate_file_reader(".fitv", self.state_reader)
	527	#Send the fitting panel to guiframe
	528	self.mypanels.append(self.fit_panel)
	529	self.mypanels.append(self.result_panel)
	530	return self.mypanels
	531
	532	def clear_panel(self):
	533	"""
	534	"""
	535	self.fit_panel.clear_panel()
	536
	537	def delete_data(self, data):
	538	"""
	539	delete the given data from panel
	540	"""
	541	self.fit_panel.delete_data(data)
	542
	543	def set_data(self, data_list=None):
	544	"""
	545	receive a list of data to fit
	546	"""
	547	if data_list is None:
	548	data_list = []
	549	selected_data_list = []
	550	if self.batch_on:
[098f3d2]	551	self.add_fit_page(data=data_list)
[f76bf17]	552	else:
	553	if len(data_list) > MAX_NBR_DATA:
	554	from fitting_widgets import DataDialog
	555	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	556	if dlg.ShowModal() == wx.ID_OK:
	557	selected_data_list = dlg.get_data()
	558	dlg.Destroy()
	559
	560	else:
	561	selected_data_list = data_list
	562	try:
	563	group_id = wx.NewId()
	564	for data in selected_data_list:
	565	if data is not None:
	566	# 2D has no same group_id
	567	if data.__class__.__name__ == 'Data2D':
	568	group_id = wx.NewId()
	569	data.group_id = group_id
	570	if group_id not in data.list_group_id:
	571	data.list_group_id.append(group_id)
[098f3d2]	572	self.add_fit_page(data=[data])
[f76bf17]	573	except:
[098f3d2]	574	msg = "Fitting set_data: " + str(sys.exc_value)
[f76bf17]	575	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	576
	577	def set_theory(self, theory_list=None):
	578	"""
	579	"""
	580	#set the model state for a given theory_state:
	581	for item in theory_list:
	582	try:
	583	_, theory_state = item
	584	self.fit_panel.set_model_state(theory_state)
[7673ecd]	585	except Exception:
[f76bf17]	586	msg = "Fitting: cannot deal with the theory received"
[934ce649]	587	evt = StatusEvent(status=msg, info="error")
[f76bf17]	588	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
[934ce649]	589	wx.PostEvent(self.parent, evt)
[f76bf17]	590
	591	def set_state(self, state=None, datainfo=None, format=None):
	592	"""
	593	Call-back method for the fit page state reader.
	594	This method is called when a .fitv/.svs file is loaded.
	595
	596	: param state: PageState object
	597	: param datainfo: data
	598	"""
[e89aed5]	599	from pagestate import PageState
	600	from simfitpage import SimFitPageState
	601	if isinstance(state, PageState):
[f76bf17]	602	state = state.clone()
	603	self.temp_state.append(state)
[e89aed5]	604	elif isinstance(state, SimFitPageState):
	605	state.load_from_save_state(self)
[f76bf17]	606	else:
	607	self.temp_state = []
	608	# index to start with for a new set_state
	609	self.state_index = 0
	610	# state file format
	611	self.sfile_ext = format
	612
	613	self.on_set_state_helper(event=None)
	614
	615	def on_set_state_helper(self, event=None):
	616	"""
	617	Set_state_helper. This actually sets state
	618	after plotting data from state file.
	619
	620	: event: FitStateUpdateEvent called
	621	by dataloader.plot_data from guiframe
	622	"""
	623	if len(self.temp_state) == 0:
	624	if self.state_index == 0 and len(self.mypanels) <= 0 \
	625	and self.sfile_ext == '.svs':
	626	self.temp_state = []
	627	self.state_index = 0
	628	return
	629
	630	try:
	631	# Load fitting state
	632	state = self.temp_state[self.state_index]
	633	#panel state should have model selection to set_state
	634	if state.formfactorcombobox != None:
	635	#set state
	636	data = self.parent.create_gui_data(state.data)
	637	data.group_id = state.data.group_id
	638	self.parent.add_data(data_list={data.id: data})
	639	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	640	title=data.title))
	641	#need to be fix later make sure we are sendind guiframe.data
	642	#to panel
	643	state.data = data
	644	page = self.fit_panel.set_state(state)
	645	else:
	646	#just set data because set_state won't work
	647	data = self.parent.create_gui_data(state.data)
	648	data.group_id = state.data.group_id
	649	self.parent.add_data(data_list={data.id: data})
	650	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	651	title=data.title))
	652	page = self.add_fit_page([data])
	653	caption = page.window_caption
	654	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	655	caption=caption)
	656	self.mypanels.append(page)
	657
	658	# get ready for the next set_state
	659	self.state_index += 1
	660
	661	#reset state variables to default when all set_state is finished.
	662	if len(self.temp_state) == self.state_index:
	663
	664	self.temp_state = []
	665	#self.state_index = 0
	666	# Make sure the user sees the fitting panel after loading
	667	#self.parent.set_perspective(self.perspective)
	668	self.on_perspective(event=None)
	669	except:
	670	self.state_index = 0
	671	self.temp_state = []
	672	raise
	673
	674	def set_param2fit(self, uid, param2fit):
	675	"""
	676	Set the list of param names to fit for fitprobelm
	677	"""
	678	self.page_finder[uid].set_param2fit(param2fit)
	679
	680	def set_graph_id(self, uid, graph_id):
	681	"""
	682	Set graph_id for fitprobelm
	683	"""
	684	self.page_finder[uid].set_graph_id(graph_id)
	685
	686	def get_graph_id(self, uid):
	687	"""
	688	Set graph_id for fitprobelm
	689	"""
	690	return self.page_finder[uid].get_graph_id()
	691
	692	def save_fit_state(self, filepath, fitstate):
	693	"""
	694	save fit page state into file
	695	"""
	696	self.state_reader.write(filename=filepath, fitstate=fitstate)
	697
	698	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
	699	"""
	700	Set the fit weights of a given page for all
	701	its data by default. If fid is provide then set the range
	702	only for the data with fid as id
	703	:param uid: id corresponding to a fit page
	704	:param fid: id corresponding to a fit problem (data, model)
	705	:param weight: current dy data
	706	"""
[098f3d2]	707	# If we are not dealing with a specific fit problem, then
	708	# there is no point setting the weights.
	709	if fid is None:
	710	return
[f76bf17]	711	if uid in self.page_finder.keys():
	712	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
	713
	714	def set_fit_range(self, uid, qmin, qmax, fid=None):
	715	"""
	716	Set the fitting range of a given page for all
	717	its data by default. If fid is provide then set the range
	718	only for the data with fid as id
	719	:param uid: id corresponding to a fit page
	720	:param fid: id corresponding to a fit problem (data, model)
	721	:param qmin: minimum value of the fit range
	722	:param qmax: maximum value of the fit range
	723	"""
	724	if uid in self.page_finder.keys():
	725	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	726
	727	def schedule_for_fit(self, value=0, uid=None):
	728	"""
	729	Set the fit problem field to 0 or 1 to schedule that problem to fit.
	730	Schedule the specified fitproblem or get the fit problem related to
	731	the current page and set value.
	732	:param value: integer 0 or 1
	733	:param uid: the id related to a page contaning fitting information
	734	"""
	735	if uid in self.page_finder.keys():
	736	self.page_finder[uid].schedule_tofit(value)
	737
	738	def get_page_finder(self):
	739	"""
	740	return self.page_finder used also by simfitpage.py
	741	"""
	742	return self.page_finder
	743
	744	def set_page_finder(self, modelname, names, values):
	745	"""
	746	Used by simfitpage.py to reset a parameter given the string constrainst.
	747
	748	:param modelname: the name ot the model for with the parameter
	749	has to reset
	750	:param value: can be a string in this case.
	751	:param names: the paramter name
	752	"""
	753	sim_page_id = self.sim_page.uid
	754	for uid, value in self.page_finder.iteritems():
	755	if uid != sim_page_id and uid != self.batch_page.uid:
[f21d496]	756	model_list = value.get_model()
	757	model = model_list[0]
[f76bf17]	758	if model.name == modelname:
	759	value.set_model_param(names, values)
	760	break
	761
	762	def split_string(self, item):
	763	"""
	764	receive a word containing dot and split it. used to split parameterset
	765	name into model name and parameter name example: ::
	766
	767	paramaterset (item) = M1.A
	768	Will return model_name = M1 , parameter name = A
	769
	770	"""
	771	if item.find(".") >= 0:
	772	param_names = re.split("\.", item)
	773	model_name = param_names[0]
	774	##Assume max len is 3; eg., M0.radius.width
	775	if len(param_names) == 3:
	776	param_name = param_names[1] + "." + param_names[2]
	777	else:
	778	param_name = param_names[1]
	779	return model_name, param_name
	780
	781	def on_bumps_options(self, event=None):
[9776c82]	782	"""
	783	Open the bumps options panel.
	784	"""
[05228b0]	785	show_fit_config(self.parent, help=self.on_help)
	786
	787	def on_fitter_changed(self, event):
	788	self._set_fitter_label(event.config)
	789
	790	def _set_fitter_label(self, config):
	791	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
	792	+ " - Active Fitting Optimizer: "
	793	+ config.selected_name)
[7945367]	794
	795	def on_help(self, algorithm_id):
[86b049b]	796	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
[7945367]	797	_anchor = "#fit-"+algorithm_id
[6f16e25]	798	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
[7945367]	799
[f76bf17]	800
[9776c82]	801	def on_fit_results(self, event=None):
	802	"""
	803	Make the Fit Results panel visible.
	804	"""
	805	self.result_frame.Show()
	806	self.result_frame.Raise()
	807
[73cbeec]	808	def on_gpu_options(self, event=None):
	809	"""
	810	Make the Fit Results panel visible.
	811	"""
	812	dialog = GpuOptions(None, wx.ID_ANY, "")
	813	dialog.Show()
	814
[f76bf17]	815	def stop_fit(self, uid):
	816	"""
[acf8e4a5]	817	Stop the fit
[f76bf17]	818	"""
	819	if uid in self.fit_thread_list.keys():
	820	calc_fit = self.fit_thread_list[uid]
	821	if calc_fit is not None and calc_fit.isrunning():
	822	calc_fit.stop()
	823	msg = "Fit stop!"
	824	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	825	del self.fit_thread_list[uid]
	826	#set the fit button label of page when fit stop is trigger from
	827	#simultaneous fit pane
	828	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	829	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	830	if sim_flag or batch_flag:
	831	for uid, value in self.page_finder.iteritems():
	832	if value.get_scheduled() == 1:
	833	if uid in self.fit_panel.opened_pages.keys():
	834	panel = self.fit_panel.opened_pages[uid]
	835	panel._on_fit_complete()
	836
	837	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	838	enable_smearer=False):
	839	"""
	840	Get a smear object and store it to a fit problem of fid as id. If proper
	841	flag is enable , will plot the theory with smearing information.
	842
	843	:param smearer: smear object to allow smearing data of id fid
	844	:param enable_smearer: Define whether or not all (data, model) contained
	845	in the structure of id uid will be smeared before fitting.
	846	:param qmin: the maximum value of the theory plotting range
	847	:param qmax: the maximum value of the theory plotting range
	848	:param draw: Determine if the theory needs to be plot
	849	"""
	850	if uid not in self.page_finder.keys():
	851	return
	852	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	853	self.page_finder[uid].set_smearer(smearer, fid=fid)
	854	if draw:
	855	## draw model 1D with smeared data
	856	data = self.page_finder[uid].get_fit_data(fid=fid)
	857	if data is None:
	858	msg = "set_mearer requires at least data.\n"
	859	msg += "Got data = %s .\n" % str(data)
	860	return
	861	#raise ValueError, msg
	862	model = self.page_finder[uid].get_model(fid=fid)
	863	if model is None:
	864	return
	865	enable1D = issubclass(data.__class__, Data1D)
	866	enable2D = issubclass(data.__class__, Data2D)
	867	## if user has already selected a model to plot
	868	## redraw the model with data smeared
	869	smear = self.page_finder[uid].get_smearer(fid=fid)
	870
	871	# compute weight for the current data
	872	weight = self.page_finder[uid].get_weight(fid=fid)
	873
	874	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
	875	enable1D=enable1D, enable2D=enable2D,
	876	qmin=qmin, qmax=qmax, weight=weight)
	877
	878	def draw_model(self, model, page_id, data=None, smearer=None,
	879	enable1D=True, enable2D=False,
	880	state=None,
	881	fid=None,
	882	toggle_mode_on=False,
	883	qmin=None, qmax=None,
	884	update_chisqr=True, weight=None, source='model'):
	885	"""
	886	Draw model.
	887
	888	:param model: the model to draw
	889	:param name: the name of the model to draw
	890	:param data: the data on which the model is based to be drawn
	891	:param description: model's description
	892	:param enable1D: if true enable drawing model 1D
	893	:param enable2D: if true enable drawing model 2D
	894	:param qmin: Range's minimum value to draw model
	895	:param qmax: Range's maximum value to draw model
	896	:param qstep: number of step to divide the x and y-axis
	897	:param update_chisqr: update chisqr [bool]
	898
	899	"""
	900	#self.weight = weight
	901	if issubclass(data.__class__, Data1D) or not enable2D:
	902	## draw model 1D with no loaded data
	903	self._draw_model1D(model=model,
	904	data=data,
	905	page_id=page_id,
	906	enable1D=enable1D,
	907	smearer=smearer,
	908	qmin=qmin,
	909	qmax=qmax,
	910	fid=fid,
	911	weight=weight,
	912	toggle_mode_on=toggle_mode_on,
	913	state=state,
	914	update_chisqr=update_chisqr,
	915	source=source)
	916	else:
	917	## draw model 2D with no initial data
	918	self._draw_model2D(model=model,
	919	page_id=page_id,
	920	data=data,
	921	enable2D=enable2D,
	922	smearer=smearer,
	923	qmin=qmin,
	924	qmax=qmax,
	925	fid=fid,
	926	weight=weight,
	927	state=state,
	928	toggle_mode_on=toggle_mode_on,
	929	update_chisqr=update_chisqr,
	930	source=source)
	931
	932	def onFit(self, uid):
	933	"""
	934	Get series of data, model, associates parameters and range and send then
[acf8e4a5]	935	to series of fitters. Fit data and model, display result to
[f76bf17]	936	corresponding panels.
	937	:param uid: id related to the panel currently calling this fit function.
	938	"""
	939	if uid is None: raise RuntimeError("no page to fit") # Should never happen
	940
	941	sim_page_uid = getattr(self.sim_page, 'uid', None)
	942	batch_page_uid = getattr(self.batch_page, 'uid', None)
	943
	944	if uid == sim_page_uid:
	945	fit_type = 'simultaneous'
	946	elif uid == batch_page_uid:
	947	fit_type = 'combined_batch'
	948	else:
	949	fit_type = 'single'
	950
	951	fitter_list = []
	952	sim_fitter = None
	953	if fit_type == 'simultaneous':
[acf8e4a5]	954	# for simultaneous fitting only one fitter is needed
	955	sim_fitter = Fit()
[f76bf17]	956	sim_fitter.fitter_id = self.sim_page.uid
	957	fitter_list.append(sim_fitter)
	958
	959	self.current_pg = None
	960	list_page_id = []
	961	fit_id = 0
	962	for page_id, page_info in self.page_finder.iteritems():
	963	# For simulfit (uid give with None), do for-loop
	964	# if uid is specified (singlefit), do it only on the page.
	965	if page_id in (sim_page_uid, batch_page_uid): continue
	966	if fit_type == "single" and page_id != uid: continue
	967
	968	try:
	969	if page_info.get_scheduled() == 1:
	970	page_info.nbr_residuals_computed = 0
	971	page = self.fit_panel.get_page_by_id(page_id)
	972	self.set_fit_weight(uid=page.uid,
	973	flag=page.get_weight_flag(),
	974	is2d=page._is_2D())
	975	if not page.param_toFit:
	976	msg = "No fitting parameters for %s" % page.window_caption
[934ce649]	977	evt = StatusEvent(status=msg, info="error", type="stop")
	978	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	979	return False
	980	if not page._update_paramv_on_fit():
	981	msg = "Fitting range or parameter values are"
	982	msg += " invalid in %s" % \
	983	page.window_caption
[934ce649]	984	evt = StatusEvent(status=msg, info="error", type="stop")
	985	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	986	return False
	987
	988	pars = [str(element[1]) for element in page.param_toFit]
	989	fitproblem_list = page_info.values()
	990	for fitproblem in fitproblem_list:
	991	if sim_fitter is None:
[acf8e4a5]	992	fitter = Fit()
[f76bf17]	993	fitter.fitter_id = page_id
	994	fitter_list.append(fitter)
	995	else:
	996	fitter = sim_fitter
	997	self._add_problem_to_fit(fitproblem=fitproblem,
	998	pars=pars,
	999	fitter=fitter,
	1000	fit_id=fit_id)
	1001	fit_id += 1
	1002	list_page_id.append(page_id)
	1003	page_info.clear_model_param()
	1004	except KeyboardInterrupt:
	1005	msg = "Fitting terminated"
[934ce649]	1006	evt = StatusEvent(status=msg, info="info", type="stop")
	1007	wx.PostEvent(self.parent, evt)
[f76bf17]	1008	return True
	1009	except:
[a3f125f0]	1010	raise
[f76bf17]	1011	msg = "Fitting error: %s" % str(sys.exc_value)
[934ce649]	1012	evt = StatusEvent(status=msg, info="error", type="stop")
	1013	wx.PostEvent(self.parent, evt)
[f76bf17]	1014	return False
	1015	## If a thread is already started, stop it
	1016	#if self.calc_fit!= None and self.calc_fit.isrunning():
	1017	# self.calc_fit.stop()
	1018	msg = "Fitting is in progress..."
	1019	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1020
[acf8e4a5]	1021	#Handler used to display fit message
[f76bf17]	1022	handler = ConsoleUpdate(parent=self.parent,
	1023	manager=self,
	1024	improvement_delta=0.1)
	1025
	1026	# batch fit
	1027	batch_inputs = {}
	1028	batch_outputs = {}
	1029	if fit_type == "simultaneous":
	1030	page = self.sim_page
	1031	elif fit_type == "combined_batch":
	1032	page = self.batch_page
	1033	else:
	1034	page = self.fit_panel.get_page_by_id(uid)
	1035	if page.batch_on:
	1036	calc_fit = FitThread(handler=handler,
	1037	fn=fitter_list,
	1038	pars=pars,
	1039	batch_inputs=batch_inputs,
	1040	batch_outputs=batch_outputs,
	1041	page_id=list_page_id,
	1042	completefn=self._batch_fit_complete,
	1043	reset_flag=self.batch_reset_flag)
	1044	else:
	1045	## Perform more than 1 fit at the time
	1046	calc_fit = FitThread(handler=handler,
	1047	fn=fitter_list,
	1048	batch_inputs=batch_inputs,
	1049	batch_outputs=batch_outputs,
	1050	page_id=list_page_id,
	1051	updatefn=handler.update_fit,
	1052	completefn=self._fit_completed)
	1053	#self.fit_thread_list[current_page_id] = calc_fit
	1054	self.fit_thread_list[uid] = calc_fit
	1055	calc_fit.queue()
	1056	calc_fit.ready(2.5)
	1057	msg = "Fitting is in progress..."
	1058	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1059
	1060	return True
	1061
	1062	def remove_plot(self, uid, fid=None, theory=False):
	1063	"""
	1064	remove model plot when a fit page is closed
	1065	:param uid: the id related to the fitpage to close
	1066	:param fid: the id of the fitproblem(data, model, range,etc)
	1067	"""
	1068	if uid not in self.page_finder.keys():
	1069	return
	1070	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1071	for fitproblem in fitproblemList:
	1072	data = fitproblem.get_fit_data()
	1073	model = fitproblem.get_model()
	1074	plot_id = None
	1075	if model is not None:
	1076	plot_id = data.id + model.name
	1077	if theory:
	1078	plot_id = data.id + model.name
	1079	group_id = data.group_id
	1080	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
	1081	group_id=group_id,
	1082	action='remove'))
	1083
	1084	def store_data(self, uid, data_list=None, caption=None):
	1085	"""
	1086	Recieve a list of data and store them ans well as a caption of
	1087	the fit page where they come from.
	1088	:param uid: if related to a fit page
	1089	:param data_list: list of data to fit
	1090	:param caption: caption of the window related to these data
	1091	"""
	1092	if data_list is None:
	1093	data_list = []
	1094
	1095	self.page_finder[uid].set_fit_data(data=data_list)
	1096	if caption is not None:
	1097	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1098
	1099	def on_add_new_page(self, event=None):
	1100	"""
	1101	ask fit panel to create a new empty page
	1102	"""
	1103	try:
	1104	page = self.fit_panel.add_empty_page()
	1105	# add data associated to the page created
	1106	if page != None:
[934ce649]	1107	evt = StatusEvent(status="Page Created", info="info")
	1108	wx.PostEvent(self.parent, evt)
[f76bf17]	1109	else:
	1110	msg = "Page was already Created"
[934ce649]	1111	evt = StatusEvent(status=msg, info="warning")
	1112	wx.PostEvent(self.parent, evt)
[f76bf17]	1113	except:
	1114	msg = "Creating Fit page: %s" % sys.exc_value
	1115	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	1116
	1117	def add_fit_page(self, data):
	1118	"""
	1119	given a data, ask to the fitting panel to create a new fitting page,
	1120	get this page and store it into the page_finder of this plug-in
	1121	:param data: is a list of data
	1122	"""
	1123	page = self.fit_panel.set_data(data)
	1124	# page could be None when loading state files
	1125	if page == None:
	1126	return page
	1127	#append Data1D to the panel containing its theory
	1128	#if theory already plotted
	1129	if page.uid in self.page_finder:
	1130	data = page.get_data()
	1131	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
	1132	if issubclass(data.__class__, Data2D):
	1133	data.group_id = wx.NewId()
	1134	if theory_data is not None:
	1135	group_id = str(page.uid) + " Model1D"
	1136	wx.PostEvent(self.parent,
	1137	NewPlotEvent(group_id=group_id,
	1138	action="delete"))
	1139	self.parent.update_data(prev_data=theory_data,
	1140	new_data=data)
	1141	else:
	1142	if theory_data is not None:
	1143	group_id = str(page.uid) + " Model2D"
	1144	data.group_id = theory_data.group_id
	1145	wx.PostEvent(self.parent,
	1146	NewPlotEvent(group_id=group_id,
	1147	action="delete"))
	1148	self.parent.update_data(prev_data=theory_data,
	1149	new_data=data)
	1150	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	1151	caption=page.window_caption)
	1152	if self.sim_page is not None and not self.batch_on:
	1153	self.sim_page.draw_page()
	1154	if self.batch_page is not None and self.batch_on:
	1155	self.batch_page.draw_page()
	1156
	1157	return page
	1158
	1159	def _onEVT_SLICER_PANEL(self, event):
	1160	"""
	1161	receive and event telling to update a panel with a name starting with
	1162	event.panel_name. this method update slicer panel
	1163	for a given interactor.
	1164
	1165	:param event: contains type of slicer , paramaters for updating
	1166	the panel and panel_name to find the slicer 's panel concerned.
	1167	"""
	1168	event.panel_name
	1169	for item in self.parent.panels:
	1170	name = event.panel_name
	1171	if self.parent.panels[item].window_caption.startswith(name):
	1172	self.parent.panels[item].set_slicer(event.type, event.params)
	1173
	1174	#self.parent._mgr.Update()
	1175
	1176	def _closed_fitpage(self, event):
	1177	"""
	1178	request fitpanel to close a given page when its unique data is removed
	1179	from the plot. close fitpage only when the a loaded data is removed
	1180	"""
	1181	if event is None or event.data is None:
	1182	return
	1183	if hasattr(event.data, "is_data"):
	1184	if not event.data.is_data or \
	1185	event.data.__class__.__name__ == "Data1D":
	1186	self.fit_panel.close_page_with_data(event.data)
	1187
	1188	def _reset_schedule_problem(self, value=0, uid=None):
	1189	"""
	1190	unschedule or schedule all fitproblem to be fit
	1191	"""
	1192	# case that uid is not specified
	1193	if uid == None:
	1194	for page_id in self.page_finder.keys():
	1195	self.page_finder[page_id].schedule_tofit(value)
	1196	# when uid is given
	1197	else:
	1198	if uid in self.page_finder.keys():
	1199	self.page_finder[uid].schedule_tofit(value)
	1200
	1201	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
	1202	"""
[acf8e4a5]	1203	Create and set fitter with series of data and model
[f76bf17]	1204	"""
	1205	data = fitproblem.get_fit_data()
	1206	model = fitproblem.get_model()
	1207	smearer = fitproblem.get_smearer()
	1208	qmin, qmax = fitproblem.get_range()
	1209
	1210	#Extra list of parameters and their constraints
	1211	listOfConstraint = []
	1212	param = fitproblem.get_model_param()
	1213	if len(param) > 0:
	1214	for item in param:
	1215	## check if constraint
	1216	if item[0] != None and item[1] != None:
	1217	listOfConstraint.append((item[0], item[1]))
	1218	new_model = model
	1219	fitter.set_model(new_model, fit_id, pars, data=data,
	1220	constraints=listOfConstraint)
	1221	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
	1222	qmax=qmax)
	1223	fitter.select_problem_for_fit(id=fit_id, value=1)
	1224
	1225	def _onSelect(self, event):
	1226	"""
	1227	when Select data to fit a new page is created .Its reference is
	1228	added to self.page_finder
	1229	"""
	1230	panel = self.plot_panel
	1231	if panel == None:
	1232	raise ValueError, "Fitting:_onSelect: NonType panel"
	1233	Plugin.on_perspective(self, event=event)
	1234	self.select_data(panel)
	1235
	1236	def select_data(self, panel):
	1237	"""
	1238	"""
	1239	for plottable in panel.graph.plottables:
	1240	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
	1241	data_id = panel.graph.selected_plottable
	1242	if plottable == panel.plots[data_id]:
	1243	data = plottable
	1244	self.add_fit_page(data=[data])
	1245	return
	1246	else:
	1247	data = plottable
	1248	self.add_fit_page(data=[data])
	1249
	1250	def update_fit(self, result=None, msg=""):
	1251	"""
	1252	"""
	1253	print "update_fit result", result
	1254
	1255	def _batch_fit_complete(self, result, pars, page_id,
	1256	batch_outputs, batch_inputs, elapsed=None):
	1257	"""
	1258	Display fit result in batch
[acf8e4a5]	1259	:param result: list of objects received from fitters
[f76bf17]	1260	:param pars: list of fitted parameters names
	1261	:param page_id: list of page ids which called fit function
	1262	:param elapsed: time spent at the fitting level
	1263	"""
	1264	uid = page_id[0]
	1265	if uid in self.fit_thread_list.keys():
	1266	del self.fit_thread_list[uid]
	1267
[373d4ee]	1268	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1269	t1 = time.time()
	1270	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1271	msg = "Fit completed on %s \n" % str_time
	1272	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1273	evt = StatusEvent(status=msg, info="info", type="stop")
	1274	wx.PostEvent(self.parent, evt)
[f76bf17]	1275
	1276	if batch_outputs is None:
	1277	batch_outputs = {}
	1278
	1279	# format batch_outputs
	1280	batch_outputs["Chi2"] = []
	1281	#Don't like these loops
	1282	# Need to create dictionary of all fitted parameters
	1283	# since the number of parameters can differ between each fit result
	1284	for list_res in result:
	1285	for res in list_res:
	1286	model, data = res.inputs[0]
	1287	if model is not None and hasattr(model, "model"):
	1288	model = model.model
	1289	#get all fittable parameters of the current model
	1290	for param in model.getParamList():
	1291	if param not in batch_outputs.keys():
	1292	batch_outputs[param] = []
	1293	for param in model.getDispParamList():
	1294	if not model.is_fittable(param) and \
	1295	param in batch_outputs.keys():
	1296	del batch_outputs[param]
	1297	# Add fitted parameters and their error
	1298	for param in res.param_list:
	1299	if param not in batch_outputs.keys():
	1300	batch_outputs[param] = []
	1301	err_param = "error on %s" % str(param)
	1302	if err_param not in batch_inputs.keys():
	1303	batch_inputs[err_param] = []
	1304	msg = ""
	1305	for list_res in result:
	1306	for res in list_res:
	1307	pid = res.fitter_id
	1308	model, data = res.inputs[0]
	1309	correct_result = False
	1310	if model is not None and hasattr(model, "model"):
	1311	model = model.model
	1312	if data is not None and hasattr(data, "sas_data"):
	1313	data = data.sas_data
	1314
	1315	is_data2d = issubclass(data.__class__, Data2D)
	1316	#check consistency of arrays
	1317	if not is_data2d:
	1318	if len(res.theory) == len(res.index[res.index]) and \
	1319	len(res.index) == len(data.y):
	1320	correct_result = True
	1321	else:
	1322	copy_data = deepcopy(data)
	1323	new_theory = copy_data.data
	1324	new_theory[res.index] = res.theory
	1325	new_theory[res.index == False] = numpy.nan
	1326	correct_result = True
	1327	#get all fittable parameters of the current model
	1328	param_list = model.getParamList()
	1329	for param in model.getDispParamList():
	1330	if not model.is_fittable(param) and \
	1331	param in param_list:
	1332	param_list.remove(param)
	1333	if not correct_result or res.fitness is None or \
	1334	not numpy.isfinite(res.fitness) or \
	1335	numpy.any(res.pvec == None) or not \
	1336	numpy.all(numpy.isfinite(res.pvec)):
	1337	data_name = str(None)
	1338	if data is not None:
	1339	data_name = str(data.name)
	1340	model_name = str(None)
	1341	if model is not None:
	1342	model_name = str(model.name)
	1343	msg += "Data %s and Model %s did not fit.\n" % (data_name,
	1344	model_name)
	1345	ERROR = numpy.NAN
	1346	cell = BatchCell()
	1347	cell.label = res.fitness
	1348	cell.value = res.fitness
	1349	batch_outputs["Chi2"].append(ERROR)
	1350	for param in param_list:
	1351	# save value of fixed parameters
	1352	if param not in res.param_list:
	1353	batch_outputs[str(param)].append(ERROR)
	1354	else:
	1355	#save only fitted values
	1356	batch_outputs[param].append(ERROR)
	1357	batch_inputs["error on %s" % str(param)].append(ERROR)
	1358	else:
[acf8e4a5]	1359	# TODO: Why sometimes res.pvec comes with numpy.float64?
	1360	# probably from scipy lmfit
[f76bf17]	1361	if res.pvec.__class__ == numpy.float64:
	1362	res.pvec = [res.pvec]
	1363
	1364	cell = BatchCell()
	1365	cell.label = res.fitness
	1366	cell.value = res.fitness
	1367	batch_outputs["Chi2"].append(cell)
	1368	# add parameters to batch_results
	1369	for param in param_list:
	1370	# save value of fixed parameters
	1371	if param not in res.param_list:
	1372	batch_outputs[str(param)].append(model.getParam(param))
	1373	else:
	1374	index = res.param_list.index(param)
	1375	#save only fitted values
	1376	batch_outputs[param].append(res.pvec[index])
	1377	if res.stderr is not None and \
	1378	len(res.stderr) == len(res.param_list):
	1379	item = res.stderr[index]
	1380	batch_inputs["error on %s" % param].append(item)
	1381	else:
	1382	batch_inputs["error on %s" % param].append('-')
	1383	model.setParam(param, res.pvec[index])
	1384	#fill the batch result with emtpy value if not in the current
	1385	#model
	1386	EMPTY = "-"
	1387	for key in batch_outputs.keys():
	1388	if key not in param_list and key not in ["Chi2", "Data"]:
	1389	batch_outputs[key].append(EMPTY)
	1390
	1391	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
	1392	batch_outputs=batch_outputs)
	1393
	1394	cpage = self.fit_panel.get_page_by_id(pid)
	1395	cpage._on_fit_complete()
	1396	self.page_finder[pid][data.id].set_result(res)
	1397	fitproblem = self.page_finder[pid][data.id]
	1398	qmin, qmax = fitproblem.get_range()
	1399	plot_result = False
	1400	if correct_result:
	1401	if not is_data2d:
	1402	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
	1403	elapsed=None,
	1404	index=res.index, model=model,
	1405	weight=None, fid=data.id,
	1406	toggle_mode_on=False, state=None,
	1407	data=data, update_chisqr=False,
	1408	source='fit', plot_result=plot_result)
	1409	else:
	1410	self._complete2D(image=new_theory, data=data,
	1411	model=model,
	1412	page_id=pid, elapsed=None,
	1413	index=res.index,
	1414	qmin=qmin,
	1415	qmax=qmax, fid=data.id, weight=None,
	1416	toggle_mode_on=False, state=None,
	1417	update_chisqr=False,
	1418	source='fit', plot_result=plot_result)
	1419	self.on_set_batch_result(page_id=pid,
	1420	fid=data.id,
	1421	batch_outputs=batch_outputs,
	1422	batch_inputs=batch_inputs)
	1423
[934ce649]	1424	evt = StatusEvent(status=msg, error="info", type="stop")
	1425	wx.PostEvent(self.parent, evt)
[f76bf17]	1426	# Remove parameters that are not shown
	1427	cpage = self.fit_panel.get_page_by_id(uid)
	1428	tbatch_outputs = {}
	1429	shownkeystr = cpage.get_copy_params()
	1430	for key in batch_outputs.keys():
	1431	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
	1432	tbatch_outputs[key] = batch_outputs[key]
	1433
	1434	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1435	batch_inputs, self.sub_menu)
	1436
	1437	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1438	"""
	1439	"""
	1440	pid = page_id
	1441	if fid not in self.page_finder[pid]:
	1442	return
	1443	fitproblem = self.page_finder[pid][fid]
	1444	index = self.page_finder[pid].nbr_residuals_computed - 1
	1445	residuals = fitproblem.get_residuals()
	1446	theory_data = fitproblem.get_theory_data()
	1447	data = fitproblem.get_fit_data()
	1448	model = fitproblem.get_model()
	1449	#fill batch result information
	1450	if "Data" not in batch_outputs.keys():
	1451	batch_outputs["Data"] = []
[d85c194]	1452	from sas.sasgui.guiframe.data_processor import BatchCell
[f76bf17]	1453	cell = BatchCell()
	1454	cell.label = data.name
	1455	cell.value = index
	1456
	1457	if theory_data != None:
	1458	#Suucessful fit
	1459	theory_data.id = wx.NewId()
	1460	theory_data.name = model.name + "[%s]" % str(data.name)
	1461	if issubclass(theory_data.__class__, Data2D):
	1462	group_id = wx.NewId()
	1463	theory_data.group_id = group_id
	1464	if group_id not in theory_data.list_group_id:
	1465	theory_data.list_group_id.append(group_id)
	1466
	1467	try:
	1468	# associate residuals plot
	1469	if issubclass(residuals.__class__, Data2D):
	1470	group_id = wx.NewId()
	1471	residuals.group_id = group_id
	1472	if group_id not in residuals.list_group_id:
	1473	residuals.list_group_id.append(group_id)
	1474	batch_outputs["Chi2"][index].object = [residuals]
	1475	except:
	1476	pass
	1477
	1478	cell.object = [data, theory_data]
	1479	batch_outputs["Data"].append(cell)
	1480	for key, value in data.meta_data.iteritems():
	1481	if key not in batch_inputs.keys():
	1482	batch_inputs[key] = []
	1483	#if key.lower().strip() != "loader":
	1484	batch_inputs[key].append(value)
	1485	param = "temperature"
	1486	if hasattr(data.sample, param):
	1487	if param not in batch_inputs.keys():
	1488	batch_inputs[param] = []
	1489	batch_inputs[param].append(data.sample.temperature)
	1490
	1491	def _fit_completed(self, result, page_id, batch_outputs,
	1492	batch_inputs=None, pars=None, elapsed=None):
	1493	"""
	1494	Display result of the fit on related panel(s).
	1495	:param result: list of object generated when fit ends
	1496	:param pars: list of names of parameters fitted
	1497	:param page_id: list of page ids which called fit function
	1498	:param elapsed: time spent at the fitting level
	1499	"""
	1500	t1 = time.time()
	1501	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1502	msg = "Fit completed on %s \n" % str_time
	1503	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1504	evt = StatusEvent(status=msg, info="info", type="stop")
	1505	wx.PostEvent(self.parent, evt)
[f76bf17]	1506	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
[373d4ee]	1507	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1508	result = result[0]
	1509	self.fit_thread_list = {}
	1510	if page_id is None:
	1511	page_id = []
	1512	## fit more than 1 model at the same time
	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)
[4c5098c]	1747	# Comment this out until we can get P*S models with correctly populated parameters
	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)")
[804fefa]	1755
[f76bf17]	1756	current_pg = self.fit_panel.get_page_by_id(page_id)
	1757	title = new_plot.title
	1758	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1759	if not batch_on:
	1760	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1761	title=str(title)))
	1762	elif plot_result:
	1763	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1764	if data.id == top_data_id:
	1765	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1766	title=str(title)))
	1767	caption = current_pg.window_caption
	1768	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
	1769
	1770	self.page_finder[page_id].set_theory_data(data=new_plot,
	1771	fid=data.id)
	1772	if toggle_mode_on:
	1773	wx.PostEvent(self.parent,
	1774	NewPlotEvent(group_id=str(page_id) + " Model2D",
	1775	action="Hide"))
	1776	else:
	1777	if update_chisqr:
	1778	wx.PostEvent(current_pg,
	1779	Chi2UpdateEvent(output=self._cal_chisqr(
	1780	data=data,
	1781	fid=fid,
	1782	weight=weight,
	1783	page_id=page_id,
	1784	index=index)))
	1785	else:
	1786	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1787	index=index, weight=weight)
	1788
	1789	msg = "Computation completed!"
	1790	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1791	except:
	1792	raise
	1793
[934ce649]	1794	def _calc_exception(self, etype, value, tb):
	1795	"""
	1796	Handle exception from calculator by posting it as an error.
	1797	"""
	1798	logging.error("".join(traceback.format_exception(etype, value, tb)))
	1799	msg = traceback.format_exception(etype, value, tb, limit=1)
	1800	evt = StatusEvent(status="".join(msg), type="stop", info="error")
	1801	wx.PostEvent(self.parent, evt)
	1802
[f76bf17]	1803	def _update2D(self, output, time=None):
	1804	"""
	1805	Update the output of plotting model
	1806	"""
[934ce649]	1807	msg = "Plot updating ... "
	1808	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
[f76bf17]	1809
	1810	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1811	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
	1812	update_chisqr=True, source='model', plot_result=True):
	1813	"""
	1814	Complete get the result of modelthread and create model 2D
	1815	that can be plot.
	1816	"""
	1817	numpy.nan_to_num(image)
	1818	new_plot = Data2D(image=image, err_image=data.err_data)
	1819	new_plot.name = model.name + '2d'
	1820	new_plot.title = "Analytical model 2D "
	1821	new_plot.id = str(page_id) + " " + data.name
	1822	new_plot.group_id = str(page_id) + " Model2D"
	1823	new_plot.detector = data.detector
	1824	new_plot.source = data.source
	1825	new_plot.is_data = False
	1826	new_plot.qx_data = data.qx_data
	1827	new_plot.qy_data = data.qy_data
	1828	new_plot.q_data = data.q_data
	1829	new_plot.mask = data.mask
	1830	## plot boundaries
	1831	new_plot.ymin = data.ymin
	1832	new_plot.ymax = data.ymax
	1833	new_plot.xmin = data.xmin
	1834	new_plot.xmax = data.xmax
	1835	title = data.title
	1836
	1837	new_plot.is_data = False
	1838	if data.is_data:
	1839	data_name = str(data.name)
	1840	else:
	1841	data_name = str(model.__class__.__name__) + '2d'
	1842
	1843	if len(title) > 1:
	1844	new_plot.title = "Model2D for %s " % model.name + data_name
	1845	new_plot.name = model.name + " [" + \
	1846	data_name + "]"
	1847	theory_data = deepcopy(new_plot)
	1848
	1849	self.page_finder[page_id].set_theory_data(data=theory_data,
	1850	fid=data.id)
	1851	self.parent.update_theory(data_id=data.id,
	1852	theory=new_plot,
	1853	state=state)
	1854	current_pg = self.fit_panel.get_page_by_id(page_id)
	1855	title = new_plot.title
	1856	if not source == 'fit' and plot_result:
	1857	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1858	title=title))
	1859	if toggle_mode_on:
	1860	wx.PostEvent(self.parent,
	1861	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1862	action="Hide"))
	1863	else:
	1864	# Chisqr in fitpage
	1865	if update_chisqr:
	1866	wx.PostEvent(current_pg,
	1867	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
	1868	weight=weight,
	1869	fid=fid,
	1870	page_id=page_id,
	1871	index=index)))
	1872	else:
	1873	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1874	index=index, weight=weight)
	1875	msg = "Computation completed!"
	1876	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1877
	1878	def _draw_model2D(self, model, page_id, qmin,
	1879	qmax,
	1880	data=None, smearer=None,
	1881	description=None, enable2D=False,
	1882	state=None,
	1883	fid=None,
	1884	weight=None,
	1885	toggle_mode_on=False,
	1886	update_chisqr=True, source='model'):
	1887	"""
	1888	draw model in 2D
	1889
	1890	:param model: instance of the model to draw
	1891	:param description: the description of the model
	1892	:param enable2D: when True allows to draw model 2D
	1893	:param qmin: the minimum value to draw model 2D
	1894	:param qmax: the maximum value to draw model 2D
	1895	:param qstep: the number of division of Qx and Qy of the model to draw
	1896
	1897	"""
	1898	if not enable2D:
	1899	return None
	1900	try:
	1901	from model_thread import Calc2D
	1902	## If a thread is already started, stop it
	1903	if (self.calc_2D is not None) and self.calc_2D.isrunning():
	1904	self.calc_2D.stop()
	1905	## stop just raises a flag to tell the thread to kill
	1906	## itself -- see the fix in Calc1D implemented to fix
	1907	## an actual problem. Seems the fix should also go here
	1908	## and may be the cause of other noted instabilities
	1909	##
	1910	## -PDB August 12, 2014
	1911	while self.calc_2D.isrunning():
	1912	time.sleep(0.1)
	1913	self.calc_2D = Calc2D(model=model,
[934ce649]	1914	data=data,
	1915	page_id=page_id,
	1916	smearer=smearer,
	1917	qmin=qmin,
	1918	qmax=qmax,
	1919	weight=weight,
	1920	fid=fid,
	1921	toggle_mode_on=toggle_mode_on,
	1922	state=state,
	1923	completefn=self._complete2D,
	1924	update_chisqr=update_chisqr,
	1925	exception_handler=self._calc_exception,
	1926	source=source)
[f76bf17]	1927	self.calc_2D.queue()
	1928	except:
	1929	raise
	1930
	1931	def _draw_model1D(self, model, page_id, data,
	1932	qmin, qmax, smearer=None,
	1933	state=None,
	1934	weight=None,
	1935	fid=None,
	1936	toggle_mode_on=False, update_chisqr=True, source='model',
	1937	enable1D=True):
	1938	"""
	1939	Draw model 1D from loaded data1D
	1940
	1941	:param data: loaded data
	1942	:param model: the model to plot
	1943
	1944	"""
	1945	if not enable1D:
	1946	return
	1947	try:
	1948	from model_thread import Calc1D
	1949	## If a thread is already started, stop it
	1950	if (self.calc_1D is not None) and self.calc_1D.isrunning():
	1951	self.calc_1D.stop()
	1952	## stop just raises the flag -- the thread is supposed to
	1953	## then kill itself but cannot. Paul Kienzle came up with
	1954	## this fix to prevent threads from stepping on each other
[ddbac66]	1955	## which was causing a simple custom plugin model to crash
	1956	##Sasview.
[f76bf17]	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	##
[d99f008]	1966	## -PDB August 12, 2014
[f76bf17]	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 @ 5156918

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