fitting.py @ 6435594

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 6435594 was 9c0f3c17, checked in by Ricardo Ferraz Leal <ricleal@…>, 8 years ago
After merge conflict
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
[9a5097c]	18	import numpy as np
[f76bf17]	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
[463e7ffc]	51	logger = logging.getLogger(__name__)
[c155a16]	52
[f76bf17]	53	MAX_NBR_DATA = 4
	54
	55	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
	56
	57
	58	if sys.platform == "win32":
	59	ON_MAC = False
	60	else:
	61	ON_MAC = True
	62
[05228b0]	63	import bumps.options
	64	from bumps.gui.fit_dialog import show_fit_config
	65	try:
	66	from bumps.gui.fit_dialog import EVT_FITTER_CHANGED
	67	except ImportError:
[243fbc0]	68	# CRUFT: bumps 0.7.5.8 and below
[05228b0]	69	EVT_FITTER_CHANGED = None # type: wx.PyCommandEvent
[f76bf17]	70
	71	class Plugin(PluginBase):
	72	"""
	73	Fitting plugin is used to perform fit
	74	"""
[f21d496]	75	def __init__(self):
	76	PluginBase.__init__(self, name="Fitting")
[f76bf17]	77
	78	#list of panel to send to guiframe
	79	self.mypanels = []
	80	# reference to the current running thread
	81	self.calc_2D = None
	82	self.calc_1D = None
	83
	84	self.color_dict = {}
	85
	86	self.fit_thread_list = {}
	87	self.residuals = None
	88	self.weight = None
	89	self.fit_panel = None
	90	self.plot_panel = None
	91	# Start with a good default
	92	self.elapsed = 0.022
	93	self.fit_panel = None
	94	## dictionary of page closed and id
	95	self.closed_page_dict = {}
	96	## Relative error desired in the sum of squares (float)
	97	self.batch_reset_flag = True
	98	#List of selected data
	99	self.selected_data_list = []
	100	## list of slicer panel created to display slicer parameters and results
	101	self.slicer_panels = []
	102	# model 2D view
	103	self.model2D_id = None
	104	#keep reference of the simultaneous fit page
	105	self.sim_page = None
	106	self.sim_menu = None
	107	self.batch_page = None
	108	self.batch_menu = None
	109	self.index_model = 0
	110	self.test_model_color = None
	111	#Create a reader for fit page's state
	112	self.state_reader = None
	113	self._extensions = '.fitv'
	114	self.menu1 = None
	115	self.new_model_frame = None
	116
	117	self.temp_state = []
	118	self.state_index = 0
	119	self.sfile_ext = None
	120	# take care of saving data, model and page associated with each other
	121	self.page_finder = {}
	122	# Log startup
[c155a16]	123	logger.info("Fitting plug-in started")
[f76bf17]	124	self.batch_capable = self.get_batch_capable()
	125
	126	def get_batch_capable(self):
	127	"""
	128	Check if the plugin has a batch capability
	129	"""
	130	return True
	131
	132	def create_fit_problem(self, page_id):
	133	"""
	134	Given an ID create a fitproblem container
	135	"""
	136	self.page_finder[page_id] = FitProblemDictionary()
	137
	138	def delete_fit_problem(self, page_id):
	139	"""
	140	Given an ID create a fitproblem container
	141	"""
	142	if page_id in self.page_finder.iterkeys():
	143	del self.page_finder[page_id]
	144
	145	def add_color(self, color, id):
	146	"""
	147	adds a color as a key with a plot id as its value to a dictionary
	148	"""
	149	self.color_dict[id] = color
	150
	151	def on_batch_selection(self, flag):
	152	"""
	153	switch the the notebook of batch mode or not
	154	"""
	155	self.batch_on = flag
	156	if self.fit_panel is not None:
	157	self.fit_panel.batch_on = self.batch_on
	158
	159	def populate_menu(self, owner):
	160	"""
	161	Create a menu for the Fitting plug-in
	162
	163	:param id: id to create a menu
	164	:param owner: owner of menu
	165
	166	:return: list of information to populate the main menu
	167
	168	"""
	169	#Menu for fitting
	170	self.menu1 = wx.Menu()
	171	id1 = wx.NewId()
	172	simul_help = "Add new fit panel"
	173	self.menu1.Append(id1, '&New Fit Page', simul_help)
	174	wx.EVT_MENU(owner, id1, self.on_add_new_page)
	175	self.menu1.AppendSeparator()
	176	self.id_simfit = wx.NewId()
	177	simul_help = "Constrained or Simultaneous Fit"
	178	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
	179	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
	180	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
	181	self.sim_menu.Enable(False)
	182	#combined Batch
	183	self.id_batchfit = wx.NewId()
	184	batch_help = "Combined Batch"
	185	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
	186	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
	187	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
	188	self.batch_menu.Enable(False)
	189
	190	self.menu1.AppendSeparator()
	191	self.id_bumps_options = wx.NewId()
	192	bopts_help = "Fitting options"
	193	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
	194	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
	195	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
	196	self.bumps_options_menu.Enable(True)
	197
[73cbeec]	198	self.id_gpu_options_panel = wx.NewId()
	199	self.menu1.Append(self.id_gpu_options_panel, "OpenCL Options", "Choose OpenCL driver or turn it off")
	200	wx.EVT_MENU(owner, self.id_gpu_options_panel, self.on_gpu_options)
	201
[f76bf17]	202	self.id_result_panel = wx.NewId()
	203	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
[9776c82]	204	wx.EVT_MENU(owner, self.id_result_panel, self.on_fit_results)
[f76bf17]	205	self.menu1.AppendSeparator()
	206
	207	self.id_reset_flag = wx.NewId()
	208	resetf_help = "BatchFit: If checked, the initial param values will be "
	209	resetf_help += "propagated from the previous results. "
	210	resetf_help += "Otherwise, the same initial param values will be used "
	211	resetf_help += "for all fittings."
	212	self.menu1.AppendCheckItem(self.id_reset_flag,
	213	"Chain Fitting [BatchFit Only]",
	214	resetf_help)
	215	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
	216	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
	217	chain_menu.Check(not self.batch_reset_flag)
	218	chain_menu.Enable(self.batch_on)
	219
	220	self.menu1.AppendSeparator()
	221	self.edit_model_menu = wx.Menu()
	222	# Find and put files name in menu
	223	try:
	224	self.set_edit_menu(owner=owner)
	225	except:
	226	raise
	227
	228	self.id_edit = wx.NewId()
[ec72ceb]	229	self.menu1.AppendMenu(self.id_edit, "Plugin Model Operations",
[e92a352]	230	self.edit_model_menu)
[f76bf17]	231	#create menubar items
	232	return [(self.menu1, self.sub_menu)]
	233
	234	def edit_custom_model(self, event):
	235	"""
	236	Get the python editor panel
	237	"""
[f21d496]	238	event_id = event.GetId()
	239	label = self.edit_menu.GetLabel(event_id)
[d85c194]	240	from sas.sasgui.perspectives.calculator.pyconsole import PyConsole
[f76bf17]	241	filename = os.path.join(models.find_plugins_dir(), label)
	242	frame = PyConsole(parent=self.parent, manager=self,
	243	panel=self.fit_panel,
[ec72ceb]	244	title='Advanced Plugin Model Editor',
[f76bf17]	245	filename=filename)
	246	self.put_icon(frame)
	247	frame.Show(True)
	248
	249	def delete_custom_model(self, event):
	250	"""
	251	Delete custom model file
	252	"""
[f21d496]	253	event_id = event.GetId()
	254	label = self.delete_menu.GetLabel(event_id)
[f76bf17]	255	toks = os.path.splitext(label)
	256	path = os.path.join(models.find_plugins_dir(), toks[0])
	257	try:
	258	for ext in ['.py', '.pyc']:
	259	p_path = path + ext
	260	os.remove(p_path)
	261	self.update_custom_combo()
	262	if os.path.isfile(p_path):
[e92a352]	263	msg = "Sorry! unable to delete the default "
	264	msg += "plugin model... \n"
[f76bf17]	265	msg += "Please manually remove the files (.py, .pyc) "
	266	msg += "in the 'plugin_models' folder \n"
	267	msg += "inside of the SasView application, "
	268	msg += "and try it again."
	269	wx.MessageBox(msg, 'Info')
[934ce649]	270	#evt = StatusEvent(status=msg, type='stop', info='warning')
	271	#wx.PostEvent(self.parent, evt)
[f76bf17]	272	else:
[f21d496]	273	self.delete_menu.Delete(event_id)
[f76bf17]	274	for item in self.edit_menu.GetMenuItems():
	275	if item.GetLabel() == label:
	276	self.edit_menu.DeleteItem(item)
[e92a352]	277	msg = "The plugin model, %s, has been deleted." % label
[934ce649]	278	evt = StatusEvent(status=msg, type='stop', info='info')
	279	wx.PostEvent(self.parent, evt)
[f76bf17]	280	break
[7673ecd]	281	except Exception:
	282	import traceback; traceback.print_exc()
[f76bf17]	283	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
	284	wx.MessageBox(msg, 'Error')
	285
	286	def make_sum_model(self, event):
	287	"""
	288	Edit summodel template and make one
	289	"""
[f21d496]	290	event_id = event.GetId()
[f76bf17]	291	model_manager = models.ModelManager()
	292	model_list = model_manager.get_model_name_list()
	293	plug_dir = models.find_plugins_dir()
[6f16e25]	294	textdial = TextDialog(None, self, wx.ID_ANY, 'Easy Sum/Multi(p1, p2) Editor',
[f76bf17]	295	model_list, plug_dir)
	296	self.put_icon(textdial)
	297	textdial.ShowModal()
	298	textdial.Destroy()
	299
	300	def make_new_model(self, event):
	301	"""
	302	Make new model
	303	"""
	304	if self.new_model_frame != None:
	305	self.new_model_frame.Show(False)
	306	self.new_model_frame.Show(True)
	307	else:
[f21d496]	308	event_id = event.GetId()
[f76bf17]	309	dir_path = models.find_plugins_dir()
[ec72ceb]	310	title = "New Plugin Model Function"
[f76bf17]	311	self.new_model_frame = EditorWindow(parent=self, base=self,
	312	path=dir_path, title=title)
	313	self.put_icon(self.new_model_frame)
	314	self.new_model_frame.Show(True)
	315
[105ef92]	316	def load_plugin_models(self, event):
	317	"""
	318	Update of models in plugin_models folder
	319	"""
	320	event_id = event.GetId()
[c807957]	321	self.update_custom_combo()
[105ef92]	322
[f76bf17]	323	def update_custom_combo(self):
	324	"""
	325	Update custom model list in the fitpage combo box
	326	"""
[ec72ceb]	327	custom_model = 'Plugin Models'
[f76bf17]	328	try:
	329	# Update edit menus
	330	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
	331	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
	332	temp = self.fit_panel.reset_pmodel_list()
	333	if temp:
[e92a352]	334	# Set the new plugin model list for all fit pages
[f76bf17]	335	for uid, page in self.fit_panel.opened_pages.iteritems():
	336	if hasattr(page, "formfactorbox"):
	337	page.model_list_box = temp
	338	current_val = page.formfactorbox.GetLabel()
	339	#if page.plugin_rbutton.GetValue():
	340	mod_cat = page.categorybox.GetStringSelection()
	341	if mod_cat == custom_model:
	342	#pos = page.formfactorbox.GetSelection()
	343	page._show_combox_helper()
	344	new_val = page.formfactorbox.GetLabel()
	345	if current_val != new_val and new_val != '':
	346	page.formfactorbox.SetLabel(new_val)
	347	else:
	348	page.formfactorbox.SetLabel(current_val)
	349	except:
[c155a16]	350	logger.error("update_custom_combo: %s", sys.exc_value)
[f76bf17]	351
	352	def set_edit_menu(self, owner):
	353	"""
	354	Set list of the edit model menu labels
	355	"""
[f21d496]	356	wx_id = wx.NewId()
[f76bf17]	357	#new_model_menu = wx.Menu()
[ec72ceb]	358	self.edit_model_menu.Append(wx_id, 'New Plugin Model',
[f76bf17]	359	'Add a new model function')
[f21d496]	360	wx.EVT_MENU(owner, wx_id, self.make_new_model)
[105ef92]	361
[f21d496]	362	wx_id = wx.NewId()
	363	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
[f76bf17]	364	'Sum of two model functions')
[f21d496]	365	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
[105ef92]	366
[f76bf17]	367	e_id = wx.NewId()
	368	self.edit_menu = wx.Menu()
	369	self.edit_model_menu.AppendMenu(e_id,
[ec72ceb]	370	'Advanced Plugin Editor', self.edit_menu)
[f76bf17]	371	self.set_edit_menu_helper(owner, self.edit_custom_model)
	372
	373	d_id = wx.NewId()
	374	self.delete_menu = wx.Menu()
	375	self.edit_model_menu.AppendMenu(d_id,
[ec72ceb]	376	'Delete Plugin Models', self.delete_menu)
[f76bf17]	377	self.set_edit_menu_helper(owner, self.delete_custom_model)
	378
[105ef92]	379	wx_id = wx.NewId()
[ec72ceb]	380	self.edit_model_menu.Append(wx_id, 'Load Plugin Models',
[105ef92]	381	'(Re)Load all models present in user plugin_models folder')
	382	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
[bc7b5da2]	383
[f76bf17]	384	def set_edit_menu_helper(self, owner=None, menu=None):
	385	"""
	386	help for setting list of the edit model menu labels
	387	"""
	388	if menu == None:
	389	menu = self.edit_custom_model
	390	list_fnames = os.listdir(models.find_plugins_dir())
	391	list_fnames.sort()
	392	for f_item in list_fnames:
	393	name = os.path.basename(f_item)
	394	toks = os.path.splitext(name)
	395	if toks[-1] == '.py' and not toks[0] == '__init__':
	396	if menu == self.edit_custom_model:
	397	if toks[0] == 'easy_sum_of_p1_p2':
	398	continue
	399	submenu = self.edit_menu
	400	else:
	401	submenu = self.delete_menu
	402	has_file = False
	403	for item in submenu.GetMenuItems():
	404	if name == submenu.GetLabel(item.GetId()):
	405	has_file = True
	406	if not has_file:
[f21d496]	407	wx_id = wx.NewId()
	408	submenu.Append(wx_id, name)
	409	wx.EVT_MENU(owner, wx_id, menu)
[f76bf17]	410	has_file = False
	411
	412	def put_icon(self, frame):
	413	"""
	414	Put icon in the frame title bar
	415	"""
	416	if hasattr(frame, "IsIconized"):
	417	if not frame.IsIconized():
	418	try:
	419	icon = self.parent.GetIcon()
	420	frame.SetIcon(icon)
	421	except:
	422	pass
	423
	424	def on_add_sim_page(self, event):
	425	"""
	426	Create a page to access simultaneous fit option
	427	"""
[f21d496]	428	event_id = event.GetId()
[f76bf17]	429	caption = "Const & Simul Fit"
	430	page = self.sim_page
[f21d496]	431	if event_id == self.id_batchfit:
[f76bf17]	432	caption = "Combined Batch"
	433	page = self.batch_page
	434
	435	def set_focus_page(page):
	436	page.Show(True)
	437	page.Refresh()
	438	page.SetFocus()
	439	#self.parent._mgr.Update()
	440	msg = "%s already opened\n" % str(page.window_caption)
	441	wx.PostEvent(self.parent, StatusEvent(status=msg))
	442
	443	if page != None:
	444	return set_focus_page(page)
	445	if caption == "Const & Simul Fit":
	446	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	447	else:
	448	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
	449
	450	def get_context_menu(self, plotpanel=None):
	451	"""
	452	Get the context menu items available for P(r).them allow fitting option
	453	for Data2D and Data1D only.
	454
	455	:param graph: the Graph object to which we attach the context menu
	456
	457	:return: a list of menu items with call-back function
	458
	459	:note: if Data1D was generated from Theory1D
	460	the fitting option is not allowed
	461
	462	"""
	463	self.plot_panel = plotpanel
	464	graph = plotpanel.graph
	465	fit_option = "Select data for fitting"
	466	fit_hint = "Dialog with fitting parameters "
	467
	468	if graph.selected_plottable not in plotpanel.plots:
	469	return []
	470	item = plotpanel.plots[graph.selected_plottable]
	471	if item.__class__.__name__ is "Data2D":
	472	if hasattr(item, "is_data"):
	473	if item.is_data:
	474	return [[fit_option, fit_hint, self._onSelect]]
	475	else:
	476	return []
	477	return [[fit_option, fit_hint, self._onSelect]]
	478	else:
	479
	480	# if is_data is true , this in an actual data loaded
	481	#else it is a data created from a theory model
	482	if hasattr(item, "is_data"):
	483	if item.is_data:
	484	return [[fit_option, fit_hint, self._onSelect]]
	485	else:
	486	return []
	487	return [[fit_option, fit_hint, self._onSelect]]
	488	return []
	489
	490	def get_panels(self, parent):
	491	"""
	492	Create and return a list of panel objects
	493	"""
	494	self.parent = parent
	495	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
	496	# Creation of the fit panel
	497	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
	498	self.fit_panel = FitPanel(parent=self.frame, manager=self)
	499	self.frame.set_panel(self.fit_panel)
	500	self._frame_set_helper()
	501	self.on_add_new_page(event=None)
	502	#Set the manager for the main panel
	503	self.fit_panel.set_manager(self)
	504	# List of windows used for the perspective
	505	self.perspective = []
	506	self.perspective.append(self.fit_panel.window_name)
	507
	508	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
	509	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
	510	self.perspective.append(self.result_panel.window_name)
	511
	512	#index number to create random model name
	513	self.index_model = 0
	514	self.index_theory = 0
	515	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
	516	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[05228b0]	517
[243fbc0]	518	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
[05228b0]	519	if EVT_FITTER_CHANGED is not None:
	520	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
	521	self._set_fitter_label(bumps.options.FIT_CONFIG)
	522
[f76bf17]	523	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
	524	#Create reader when fitting panel are created
	525	self.state_reader = Reader(self.set_state)
	526	#append that reader to list of available reader
	527	loader = Loader()
	528	loader.associate_file_reader(".fitv", self.state_reader)
	529	#Send the fitting panel to guiframe
	530	self.mypanels.append(self.fit_panel)
	531	self.mypanels.append(self.result_panel)
	532	return self.mypanels
	533
	534	def clear_panel(self):
	535	"""
	536	"""
	537	self.fit_panel.clear_panel()
	538
	539	def delete_data(self, data):
	540	"""
	541	delete the given data from panel
	542	"""
	543	self.fit_panel.delete_data(data)
	544
	545	def set_data(self, data_list=None):
	546	"""
	547	receive a list of data to fit
	548	"""
	549	if data_list is None:
	550	data_list = []
	551	selected_data_list = []
	552	if self.batch_on:
[098f3d2]	553	self.add_fit_page(data=data_list)
[f76bf17]	554	else:
	555	if len(data_list) > MAX_NBR_DATA:
	556	from fitting_widgets import DataDialog
	557	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	558	if dlg.ShowModal() == wx.ID_OK:
	559	selected_data_list = dlg.get_data()
	560	dlg.Destroy()
	561
	562	else:
	563	selected_data_list = data_list
	564	try:
	565	group_id = wx.NewId()
	566	for data in selected_data_list:
	567	if data is not None:
	568	# 2D has no same group_id
	569	if data.__class__.__name__ == 'Data2D':
	570	group_id = wx.NewId()
	571	data.group_id = group_id
	572	if group_id not in data.list_group_id:
	573	data.list_group_id.append(group_id)
[098f3d2]	574	self.add_fit_page(data=[data])
[f76bf17]	575	except:
[098f3d2]	576	msg = "Fitting set_data: " + str(sys.exc_value)
[f76bf17]	577	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	578
	579	def set_theory(self, theory_list=None):
	580	"""
	581	"""
	582	#set the model state for a given theory_state:
	583	for item in theory_list:
	584	try:
	585	_, theory_state = item
	586	self.fit_panel.set_model_state(theory_state)
[7673ecd]	587	except Exception:
[f76bf17]	588	msg = "Fitting: cannot deal with the theory received"
[934ce649]	589	evt = StatusEvent(status=msg, info="error")
[c155a16]	590	logger.error("set_theory " + msg + "\n" + str(sys.exc_value))
[934ce649]	591	wx.PostEvent(self.parent, evt)
[f76bf17]	592
	593	def set_state(self, state=None, datainfo=None, format=None):
	594	"""
	595	Call-back method for the fit page state reader.
	596	This method is called when a .fitv/.svs file is loaded.
	597
	598	: param state: PageState object
	599	: param datainfo: data
	600	"""
[e89aed5]	601	from pagestate import PageState
	602	from simfitpage import SimFitPageState
	603	if isinstance(state, PageState):
[f76bf17]	604	state = state.clone()
	605	self.temp_state.append(state)
[e89aed5]	606	elif isinstance(state, SimFitPageState):
	607	state.load_from_save_state(self)
[f76bf17]	608	else:
	609	self.temp_state = []
	610	# index to start with for a new set_state
	611	self.state_index = 0
	612	# state file format
	613	self.sfile_ext = format
	614
	615	self.on_set_state_helper(event=None)
	616
	617	def on_set_state_helper(self, event=None):
	618	"""
	619	Set_state_helper. This actually sets state
	620	after plotting data from state file.
	621
	622	: event: FitStateUpdateEvent called
	623	by dataloader.plot_data from guiframe
	624	"""
	625	if len(self.temp_state) == 0:
	626	if self.state_index == 0 and len(self.mypanels) <= 0 \
	627	and self.sfile_ext == '.svs':
	628	self.temp_state = []
	629	self.state_index = 0
	630	return
	631
	632	try:
	633	# Load fitting state
	634	state = self.temp_state[self.state_index]
	635	#panel state should have model selection to set_state
	636	if state.formfactorcombobox != None:
	637	#set state
	638	data = self.parent.create_gui_data(state.data)
	639	data.group_id = state.data.group_id
	640	self.parent.add_data(data_list={data.id: data})
	641	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	642	title=data.title))
	643	#need to be fix later make sure we are sendind guiframe.data
	644	#to panel
	645	state.data = data
	646	page = self.fit_panel.set_state(state)
	647	else:
	648	#just set data because set_state won't work
	649	data = self.parent.create_gui_data(state.data)
	650	data.group_id = state.data.group_id
	651	self.parent.add_data(data_list={data.id: data})
	652	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	653	title=data.title))
	654	page = self.add_fit_page([data])
	655	caption = page.window_caption
	656	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	657	caption=caption)
	658	self.mypanels.append(page)
	659
	660	# get ready for the next set_state
	661	self.state_index += 1
	662
	663	#reset state variables to default when all set_state is finished.
	664	if len(self.temp_state) == self.state_index:
	665
	666	self.temp_state = []
	667	#self.state_index = 0
	668	# Make sure the user sees the fitting panel after loading
	669	#self.parent.set_perspective(self.perspective)
	670	self.on_perspective(event=None)
	671	except:
	672	self.state_index = 0
	673	self.temp_state = []
	674	raise
	675
	676	def set_param2fit(self, uid, param2fit):
	677	"""
	678	Set the list of param names to fit for fitprobelm
	679	"""
	680	self.page_finder[uid].set_param2fit(param2fit)
	681
	682	def set_graph_id(self, uid, graph_id):
	683	"""
	684	Set graph_id for fitprobelm
	685	"""
	686	self.page_finder[uid].set_graph_id(graph_id)
	687
	688	def get_graph_id(self, uid):
	689	"""
	690	Set graph_id for fitprobelm
	691	"""
	692	return self.page_finder[uid].get_graph_id()
	693
	694	def save_fit_state(self, filepath, fitstate):
	695	"""
	696	save fit page state into file
	697	"""
	698	self.state_reader.write(filename=filepath, fitstate=fitstate)
	699
	700	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
	701	"""
	702	Set the fit weights of a given page for all
	703	its data by default. If fid is provide then set the range
	704	only for the data with fid as id
	705	:param uid: id corresponding to a fit page
	706	:param fid: id corresponding to a fit problem (data, model)
	707	:param weight: current dy data
	708	"""
[098f3d2]	709	# If we are not dealing with a specific fit problem, then
	710	# there is no point setting the weights.
	711	if fid is None:
	712	return
[f76bf17]	713	if uid in self.page_finder.keys():
	714	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
	715
	716	def set_fit_range(self, uid, qmin, qmax, fid=None):
	717	"""
	718	Set the fitting range of a given page for all
	719	its data by default. If fid is provide then set the range
	720	only for the data with fid as id
	721	:param uid: id corresponding to a fit page
	722	:param fid: id corresponding to a fit problem (data, model)
	723	:param qmin: minimum value of the fit range
	724	:param qmax: maximum value of the fit range
	725	"""
	726	if uid in self.page_finder.keys():
	727	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	728
	729	def schedule_for_fit(self, value=0, uid=None):
	730	"""
	731	Set the fit problem field to 0 or 1 to schedule that problem to fit.
	732	Schedule the specified fitproblem or get the fit problem related to
	733	the current page and set value.
	734	:param value: integer 0 or 1
	735	:param uid: the id related to a page contaning fitting information
	736	"""
	737	if uid in self.page_finder.keys():
	738	self.page_finder[uid].schedule_tofit(value)
	739
	740	def get_page_finder(self):
	741	"""
	742	return self.page_finder used also by simfitpage.py
	743	"""
	744	return self.page_finder
	745
	746	def set_page_finder(self, modelname, names, values):
	747	"""
	748	Used by simfitpage.py to reset a parameter given the string constrainst.
	749
	750	:param modelname: the name ot the model for with the parameter
	751	has to reset
	752	:param value: can be a string in this case.
	753	:param names: the paramter name
	754	"""
	755	sim_page_id = self.sim_page.uid
	756	for uid, value in self.page_finder.iteritems():
	757	if uid != sim_page_id and uid != self.batch_page.uid:
[f21d496]	758	model_list = value.get_model()
	759	model = model_list[0]
[f76bf17]	760	if model.name == modelname:
	761	value.set_model_param(names, values)
	762	break
	763
	764	def split_string(self, item):
	765	"""
	766	receive a word containing dot and split it. used to split parameterset
	767	name into model name and parameter name example: ::
	768
	769	paramaterset (item) = M1.A
	770	Will return model_name = M1 , parameter name = A
	771
	772	"""
	773	if item.find(".") >= 0:
	774	param_names = re.split("\.", item)
	775	model_name = param_names[0]
	776	##Assume max len is 3; eg., M0.radius.width
	777	if len(param_names) == 3:
	778	param_name = param_names[1] + "." + param_names[2]
	779	else:
	780	param_name = param_names[1]
	781	return model_name, param_name
	782
	783	def on_bumps_options(self, event=None):
[9776c82]	784	"""
	785	Open the bumps options panel.
	786	"""
[05228b0]	787	show_fit_config(self.parent, help=self.on_help)
	788
	789	def on_fitter_changed(self, event):
	790	self._set_fitter_label(event.config)
	791
	792	def _set_fitter_label(self, config):
	793	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
	794	+ " - Active Fitting Optimizer: "
	795	+ config.selected_name)
[7945367]	796
	797	def on_help(self, algorithm_id):
[86b049b]	798	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
[7945367]	799	_anchor = "#fit-"+algorithm_id
[6f16e25]	800	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
[7945367]	801
[f76bf17]	802
[9776c82]	803	def on_fit_results(self, event=None):
	804	"""
	805	Make the Fit Results panel visible.
	806	"""
	807	self.result_frame.Show()
	808	self.result_frame.Raise()
	809
[73cbeec]	810	def on_gpu_options(self, event=None):
	811	"""
	812	Make the Fit Results panel visible.
	813	"""
	814	dialog = GpuOptions(None, wx.ID_ANY, "")
	815	dialog.Show()
	816
[f76bf17]	817	def stop_fit(self, uid):
	818	"""
[acf8e4a5]	819	Stop the fit
[f76bf17]	820	"""
	821	if uid in self.fit_thread_list.keys():
	822	calc_fit = self.fit_thread_list[uid]
	823	if calc_fit is not None and calc_fit.isrunning():
	824	calc_fit.stop()
	825	msg = "Fit stop!"
	826	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	827	del self.fit_thread_list[uid]
	828	#set the fit button label of page when fit stop is trigger from
	829	#simultaneous fit pane
	830	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	831	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	832	if sim_flag or batch_flag:
	833	for uid, value in self.page_finder.iteritems():
	834	if value.get_scheduled() == 1:
	835	if uid in self.fit_panel.opened_pages.keys():
	836	panel = self.fit_panel.opened_pages[uid]
	837	panel._on_fit_complete()
	838
	839	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	840	enable_smearer=False):
	841	"""
	842	Get a smear object and store it to a fit problem of fid as id. If proper
	843	flag is enable , will plot the theory with smearing information.
	844
	845	:param smearer: smear object to allow smearing data of id fid
	846	:param enable_smearer: Define whether or not all (data, model) contained
	847	in the structure of id uid will be smeared before fitting.
	848	:param qmin: the maximum value of the theory plotting range
	849	:param qmax: the maximum value of the theory plotting range
	850	:param draw: Determine if the theory needs to be plot
	851	"""
	852	if uid not in self.page_finder.keys():
	853	return
	854	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	855	self.page_finder[uid].set_smearer(smearer, fid=fid)
	856	if draw:
	857	## draw model 1D with smeared data
	858	data = self.page_finder[uid].get_fit_data(fid=fid)
	859	if data is None:
	860	msg = "set_mearer requires at least data.\n"
	861	msg += "Got data = %s .\n" % str(data)
	862	return
	863	#raise ValueError, msg
	864	model = self.page_finder[uid].get_model(fid=fid)
	865	if model is None:
	866	return
	867	enable1D = issubclass(data.__class__, Data1D)
	868	enable2D = issubclass(data.__class__, Data2D)
	869	## if user has already selected a model to plot
	870	## redraw the model with data smeared
	871	smear = self.page_finder[uid].get_smearer(fid=fid)
	872
	873	# compute weight for the current data
	874	weight = self.page_finder[uid].get_weight(fid=fid)
	875
	876	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
	877	enable1D=enable1D, enable2D=enable2D,
	878	qmin=qmin, qmax=qmax, weight=weight)
	879
	880	def draw_model(self, model, page_id, data=None, smearer=None,
	881	enable1D=True, enable2D=False,
	882	state=None,
	883	fid=None,
	884	toggle_mode_on=False,
	885	qmin=None, qmax=None,
	886	update_chisqr=True, weight=None, source='model'):
	887	"""
	888	Draw model.
	889
	890	:param model: the model to draw
	891	:param name: the name of the model to draw
	892	:param data: the data on which the model is based to be drawn
	893	:param description: model's description
	894	:param enable1D: if true enable drawing model 1D
	895	:param enable2D: if true enable drawing model 2D
	896	:param qmin: Range's minimum value to draw model
	897	:param qmax: Range's maximum value to draw model
	898	:param qstep: number of step to divide the x and y-axis
	899	:param update_chisqr: update chisqr [bool]
	900
	901	"""
	902	#self.weight = weight
	903	if issubclass(data.__class__, Data1D) or not enable2D:
	904	## draw model 1D with no loaded data
	905	self._draw_model1D(model=model,
	906	data=data,
	907	page_id=page_id,
	908	enable1D=enable1D,
	909	smearer=smearer,
	910	qmin=qmin,
	911	qmax=qmax,
	912	fid=fid,
	913	weight=weight,
	914	toggle_mode_on=toggle_mode_on,
	915	state=state,
	916	update_chisqr=update_chisqr,
	917	source=source)
	918	else:
	919	## draw model 2D with no initial data
	920	self._draw_model2D(model=model,
	921	page_id=page_id,
	922	data=data,
	923	enable2D=enable2D,
	924	smearer=smearer,
	925	qmin=qmin,
	926	qmax=qmax,
	927	fid=fid,
	928	weight=weight,
	929	state=state,
	930	toggle_mode_on=toggle_mode_on,
	931	update_chisqr=update_chisqr,
	932	source=source)
	933
	934	def onFit(self, uid):
	935	"""
	936	Get series of data, model, associates parameters and range and send then
[acf8e4a5]	937	to series of fitters. Fit data and model, display result to
[f76bf17]	938	corresponding panels.
	939	:param uid: id related to the panel currently calling this fit function.
	940	"""
	941	if uid is None: raise RuntimeError("no page to fit") # Should never happen
	942
	943	sim_page_uid = getattr(self.sim_page, 'uid', None)
	944	batch_page_uid = getattr(self.batch_page, 'uid', None)
	945
	946	if uid == sim_page_uid:
	947	fit_type = 'simultaneous'
	948	elif uid == batch_page_uid:
	949	fit_type = 'combined_batch'
	950	else:
	951	fit_type = 'single'
	952
	953	fitter_list = []
	954	sim_fitter = None
	955	if fit_type == 'simultaneous':
[acf8e4a5]	956	# for simultaneous fitting only one fitter is needed
	957	sim_fitter = Fit()
[f76bf17]	958	sim_fitter.fitter_id = self.sim_page.uid
	959	fitter_list.append(sim_fitter)
	960
	961	self.current_pg = None
	962	list_page_id = []
	963	fit_id = 0
	964	for page_id, page_info in self.page_finder.iteritems():
	965	# For simulfit (uid give with None), do for-loop
	966	# if uid is specified (singlefit), do it only on the page.
	967	if page_id in (sim_page_uid, batch_page_uid): continue
	968	if fit_type == "single" and page_id != uid: continue
	969
	970	try:
	971	if page_info.get_scheduled() == 1:
	972	page_info.nbr_residuals_computed = 0
	973	page = self.fit_panel.get_page_by_id(page_id)
	974	self.set_fit_weight(uid=page.uid,
	975	flag=page.get_weight_flag(),
	976	is2d=page._is_2D())
	977	if not page.param_toFit:
	978	msg = "No fitting parameters for %s" % page.window_caption
[934ce649]	979	evt = StatusEvent(status=msg, info="error", type="stop")
	980	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	981	return False
	982	if not page._update_paramv_on_fit():
	983	msg = "Fitting range or parameter values are"
	984	msg += " invalid in %s" % \
	985	page.window_caption
[934ce649]	986	evt = StatusEvent(status=msg, info="error", type="stop")
	987	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	988	return False
	989
	990	pars = [str(element[1]) for element in page.param_toFit]
	991	fitproblem_list = page_info.values()
	992	for fitproblem in fitproblem_list:
	993	if sim_fitter is None:
[acf8e4a5]	994	fitter = Fit()
[f76bf17]	995	fitter.fitter_id = page_id
	996	fitter_list.append(fitter)
	997	else:
	998	fitter = sim_fitter
	999	self._add_problem_to_fit(fitproblem=fitproblem,
	1000	pars=pars,
	1001	fitter=fitter,
	1002	fit_id=fit_id)
	1003	fit_id += 1
	1004	list_page_id.append(page_id)
	1005	page_info.clear_model_param()
	1006	except KeyboardInterrupt:
	1007	msg = "Fitting terminated"
[934ce649]	1008	evt = StatusEvent(status=msg, info="info", type="stop")
	1009	wx.PostEvent(self.parent, evt)
[f76bf17]	1010	return True
	1011	except:
[a3f125f0]	1012	raise
[f76bf17]	1013	msg = "Fitting error: %s" % str(sys.exc_value)
[934ce649]	1014	evt = StatusEvent(status=msg, info="error", type="stop")
	1015	wx.PostEvent(self.parent, evt)
[f76bf17]	1016	return False
	1017	## If a thread is already started, stop it
	1018	#if self.calc_fit!= None and self.calc_fit.isrunning():
	1019	# self.calc_fit.stop()
	1020	msg = "Fitting is in progress..."
	1021	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1022
[acf8e4a5]	1023	#Handler used to display fit message
[f76bf17]	1024	handler = ConsoleUpdate(parent=self.parent,
	1025	manager=self,
	1026	improvement_delta=0.1)
	1027
	1028	# batch fit
	1029	batch_inputs = {}
	1030	batch_outputs = {}
	1031	if fit_type == "simultaneous":
	1032	page = self.sim_page
	1033	elif fit_type == "combined_batch":
	1034	page = self.batch_page
	1035	else:
	1036	page = self.fit_panel.get_page_by_id(uid)
	1037	if page.batch_on:
	1038	calc_fit = FitThread(handler=handler,
	1039	fn=fitter_list,
	1040	pars=pars,
	1041	batch_inputs=batch_inputs,
	1042	batch_outputs=batch_outputs,
	1043	page_id=list_page_id,
	1044	completefn=self._batch_fit_complete,
	1045	reset_flag=self.batch_reset_flag)
	1046	else:
	1047	## Perform more than 1 fit at the time
	1048	calc_fit = FitThread(handler=handler,
	1049	fn=fitter_list,
	1050	batch_inputs=batch_inputs,
	1051	batch_outputs=batch_outputs,
	1052	page_id=list_page_id,
	1053	updatefn=handler.update_fit,
	1054	completefn=self._fit_completed)
	1055	#self.fit_thread_list[current_page_id] = calc_fit
	1056	self.fit_thread_list[uid] = calc_fit
	1057	calc_fit.queue()
	1058	calc_fit.ready(2.5)
	1059	msg = "Fitting is in progress..."
	1060	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1061
	1062	return True
	1063
	1064	def remove_plot(self, uid, fid=None, theory=False):
	1065	"""
	1066	remove model plot when a fit page is closed
	1067	:param uid: the id related to the fitpage to close
	1068	:param fid: the id of the fitproblem(data, model, range,etc)
	1069	"""
	1070	if uid not in self.page_finder.keys():
	1071	return
	1072	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1073	for fitproblem in fitproblemList:
	1074	data = fitproblem.get_fit_data()
	1075	model = fitproblem.get_model()
	1076	plot_id = None
	1077	if model is not None:
	1078	plot_id = data.id + model.name
	1079	if theory:
	1080	plot_id = data.id + model.name
	1081	group_id = data.group_id
	1082	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
	1083	group_id=group_id,
	1084	action='remove'))
	1085
	1086	def store_data(self, uid, data_list=None, caption=None):
	1087	"""
	1088	Recieve a list of data and store them ans well as a caption of
	1089	the fit page where they come from.
	1090	:param uid: if related to a fit page
	1091	:param data_list: list of data to fit
	1092	:param caption: caption of the window related to these data
	1093	"""
	1094	if data_list is None:
	1095	data_list = []
	1096
	1097	self.page_finder[uid].set_fit_data(data=data_list)
	1098	if caption is not None:
	1099	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1100
	1101	def on_add_new_page(self, event=None):
	1102	"""
	1103	ask fit panel to create a new empty page
	1104	"""
	1105	try:
	1106	page = self.fit_panel.add_empty_page()
	1107	# add data associated to the page created
	1108	if page != None:
[934ce649]	1109	evt = StatusEvent(status="Page Created", info="info")
	1110	wx.PostEvent(self.parent, evt)
[f76bf17]	1111	else:
	1112	msg = "Page was already Created"
[934ce649]	1113	evt = StatusEvent(status=msg, info="warning")
	1114	wx.PostEvent(self.parent, evt)
[f76bf17]	1115	except:
	1116	msg = "Creating Fit page: %s" % sys.exc_value
	1117	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	1118
	1119	def add_fit_page(self, data):
	1120	"""
	1121	given a data, ask to the fitting panel to create a new fitting page,
	1122	get this page and store it into the page_finder of this plug-in
	1123	:param data: is a list of data
	1124	"""
	1125	page = self.fit_panel.set_data(data)
	1126	# page could be None when loading state files
	1127	if page == None:
	1128	return page
	1129	#append Data1D to the panel containing its theory
	1130	#if theory already plotted
	1131	if page.uid in self.page_finder:
	1132	data = page.get_data()
	1133	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
	1134	if issubclass(data.__class__, Data2D):
	1135	data.group_id = wx.NewId()
	1136	if theory_data is not None:
	1137	group_id = str(page.uid) + " Model1D"
	1138	wx.PostEvent(self.parent,
	1139	NewPlotEvent(group_id=group_id,
	1140	action="delete"))
	1141	self.parent.update_data(prev_data=theory_data,
	1142	new_data=data)
	1143	else:
	1144	if theory_data is not None:
	1145	group_id = str(page.uid) + " Model2D"
	1146	data.group_id = theory_data.group_id
	1147	wx.PostEvent(self.parent,
	1148	NewPlotEvent(group_id=group_id,
	1149	action="delete"))
	1150	self.parent.update_data(prev_data=theory_data,
	1151	new_data=data)
	1152	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	1153	caption=page.window_caption)
	1154	if self.sim_page is not None and not self.batch_on:
	1155	self.sim_page.draw_page()
	1156	if self.batch_page is not None and self.batch_on:
	1157	self.batch_page.draw_page()
	1158
	1159	return page
	1160
	1161	def _onEVT_SLICER_PANEL(self, event):
	1162	"""
	1163	receive and event telling to update a panel with a name starting with
	1164	event.panel_name. this method update slicer panel
	1165	for a given interactor.
	1166
	1167	:param event: contains type of slicer , paramaters for updating
	1168	the panel and panel_name to find the slicer 's panel concerned.
	1169	"""
	1170	event.panel_name
	1171	for item in self.parent.panels:
	1172	name = event.panel_name
	1173	if self.parent.panels[item].window_caption.startswith(name):
	1174	self.parent.panels[item].set_slicer(event.type, event.params)
	1175
	1176	#self.parent._mgr.Update()
	1177
	1178	def _closed_fitpage(self, event):
	1179	"""
	1180	request fitpanel to close a given page when its unique data is removed
	1181	from the plot. close fitpage only when the a loaded data is removed
	1182	"""
	1183	if event is None or event.data is None:
	1184	return
	1185	if hasattr(event.data, "is_data"):
	1186	if not event.data.is_data or \
	1187	event.data.__class__.__name__ == "Data1D":
	1188	self.fit_panel.close_page_with_data(event.data)
	1189
	1190	def _reset_schedule_problem(self, value=0, uid=None):
	1191	"""
	1192	unschedule or schedule all fitproblem to be fit
	1193	"""
	1194	# case that uid is not specified
	1195	if uid == None:
	1196	for page_id in self.page_finder.keys():
	1197	self.page_finder[page_id].schedule_tofit(value)
	1198	# when uid is given
	1199	else:
	1200	if uid in self.page_finder.keys():
	1201	self.page_finder[uid].schedule_tofit(value)
	1202
	1203	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
	1204	"""
[acf8e4a5]	1205	Create and set fitter with series of data and model
[f76bf17]	1206	"""
	1207	data = fitproblem.get_fit_data()
	1208	model = fitproblem.get_model()
	1209	smearer = fitproblem.get_smearer()
	1210	qmin, qmax = fitproblem.get_range()
	1211
	1212	#Extra list of parameters and their constraints
	1213	listOfConstraint = []
	1214	param = fitproblem.get_model_param()
	1215	if len(param) > 0:
	1216	for item in param:
	1217	## check if constraint
	1218	if item[0] != None and item[1] != None:
	1219	listOfConstraint.append((item[0], item[1]))
	1220	new_model = model
	1221	fitter.set_model(new_model, fit_id, pars, data=data,
	1222	constraints=listOfConstraint)
	1223	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
	1224	qmax=qmax)
	1225	fitter.select_problem_for_fit(id=fit_id, value=1)
	1226
	1227	def _onSelect(self, event):
	1228	"""
	1229	when Select data to fit a new page is created .Its reference is
	1230	added to self.page_finder
	1231	"""
	1232	panel = self.plot_panel
	1233	if panel == None:
	1234	raise ValueError, "Fitting:_onSelect: NonType panel"
	1235	Plugin.on_perspective(self, event=event)
	1236	self.select_data(panel)
	1237
	1238	def select_data(self, panel):
	1239	"""
	1240	"""
	1241	for plottable in panel.graph.plottables:
	1242	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
	1243	data_id = panel.graph.selected_plottable
	1244	if plottable == panel.plots[data_id]:
	1245	data = plottable
	1246	self.add_fit_page(data=[data])
	1247	return
	1248	else:
	1249	data = plottable
	1250	self.add_fit_page(data=[data])
	1251
	1252	def update_fit(self, result=None, msg=""):
	1253	"""
	1254	"""
	1255	print "update_fit result", result
	1256
	1257	def _batch_fit_complete(self, result, pars, page_id,
	1258	batch_outputs, batch_inputs, elapsed=None):
	1259	"""
	1260	Display fit result in batch
[acf8e4a5]	1261	:param result: list of objects received from fitters
[f76bf17]	1262	:param pars: list of fitted parameters names
	1263	:param page_id: list of page ids which called fit function
	1264	:param elapsed: time spent at the fitting level
	1265	"""
	1266	uid = page_id[0]
	1267	if uid in self.fit_thread_list.keys():
	1268	del self.fit_thread_list[uid]
	1269
[373d4ee]	1270	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1271	t1 = time.time()
	1272	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1273	msg = "Fit completed on %s \n" % str_time
	1274	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1275	evt = StatusEvent(status=msg, info="info", type="stop")
	1276	wx.PostEvent(self.parent, evt)
[f76bf17]	1277
	1278	if batch_outputs is None:
	1279	batch_outputs = {}
	1280
	1281	# format batch_outputs
	1282	batch_outputs["Chi2"] = []
	1283	#Don't like these loops
	1284	# Need to create dictionary of all fitted parameters
	1285	# since the number of parameters can differ between each fit result
	1286	for list_res in result:
	1287	for res in list_res:
	1288	model, data = res.inputs[0]
	1289	if model is not None and hasattr(model, "model"):
	1290	model = model.model
	1291	#get all fittable parameters of the current model
	1292	for param in model.getParamList():
	1293	if param not in batch_outputs.keys():
	1294	batch_outputs[param] = []
	1295	for param in model.getDispParamList():
	1296	if not model.is_fittable(param) and \
	1297	param in batch_outputs.keys():
	1298	del batch_outputs[param]
	1299	# Add fitted parameters and their error
	1300	for param in res.param_list:
	1301	if param not in batch_outputs.keys():
	1302	batch_outputs[param] = []
	1303	err_param = "error on %s" % str(param)
	1304	if err_param not in batch_inputs.keys():
	1305	batch_inputs[err_param] = []
	1306	msg = ""
	1307	for list_res in result:
	1308	for res in list_res:
	1309	pid = res.fitter_id
	1310	model, data = res.inputs[0]
	1311	correct_result = False
	1312	if model is not None and hasattr(model, "model"):
	1313	model = model.model
	1314	if data is not None and hasattr(data, "sas_data"):
	1315	data = data.sas_data
	1316
	1317	is_data2d = issubclass(data.__class__, Data2D)
	1318	#check consistency of arrays
	1319	if not is_data2d:
	1320	if len(res.theory) == len(res.index[res.index]) and \
	1321	len(res.index) == len(data.y):
	1322	correct_result = True
	1323	else:
	1324	copy_data = deepcopy(data)
	1325	new_theory = copy_data.data
	1326	new_theory[res.index] = res.theory
[9a5097c]	1327	new_theory[res.index == False] = np.nan
[f76bf17]	1328	correct_result = True
	1329	#get all fittable parameters of the current model
	1330	param_list = model.getParamList()
	1331	for param in model.getDispParamList():
	1332	if not model.is_fittable(param) and \
	1333	param in param_list:
	1334	param_list.remove(param)
	1335	if not correct_result or res.fitness is None or \
[9a5097c]	1336	not np.isfinite(res.fitness) or \
	1337	np.any(res.pvec == None) or not \
	1338	np.all(np.isfinite(res.pvec)):
[f76bf17]	1339	data_name = str(None)
	1340	if data is not None:
	1341	data_name = str(data.name)
	1342	model_name = str(None)
	1343	if model is not None:
	1344	model_name = str(model.name)
	1345	msg += "Data %s and Model %s did not fit.\n" % (data_name,
	1346	model_name)
[9a5097c]	1347	ERROR = np.NAN
[f76bf17]	1348	cell = BatchCell()
	1349	cell.label = res.fitness
	1350	cell.value = res.fitness
	1351	batch_outputs["Chi2"].append(ERROR)
	1352	for param in param_list:
	1353	# save value of fixed parameters
	1354	if param not in res.param_list:
	1355	batch_outputs[str(param)].append(ERROR)
	1356	else:
	1357	#save only fitted values
	1358	batch_outputs[param].append(ERROR)
	1359	batch_inputs["error on %s" % str(param)].append(ERROR)
	1360	else:
[9a5097c]	1361	# TODO: Why sometimes res.pvec comes with np.float64?
[acf8e4a5]	1362	# probably from scipy lmfit
[9a5097c]	1363	if res.pvec.__class__ == np.float64:
[f76bf17]	1364	res.pvec = [res.pvec]
	1365
	1366	cell = BatchCell()
	1367	cell.label = res.fitness
	1368	cell.value = res.fitness
	1369	batch_outputs["Chi2"].append(cell)
	1370	# add parameters to batch_results
	1371	for param in param_list:
	1372	# save value of fixed parameters
	1373	if param not in res.param_list:
	1374	batch_outputs[str(param)].append(model.getParam(param))
	1375	else:
	1376	index = res.param_list.index(param)
	1377	#save only fitted values
	1378	batch_outputs[param].append(res.pvec[index])
	1379	if res.stderr is not None and \
	1380	len(res.stderr) == len(res.param_list):
	1381	item = res.stderr[index]
	1382	batch_inputs["error on %s" % param].append(item)
	1383	else:
	1384	batch_inputs["error on %s" % param].append('-')
	1385	model.setParam(param, res.pvec[index])
	1386	#fill the batch result with emtpy value if not in the current
	1387	#model
	1388	EMPTY = "-"
	1389	for key in batch_outputs.keys():
	1390	if key not in param_list and key not in ["Chi2", "Data"]:
	1391	batch_outputs[key].append(EMPTY)
	1392
	1393	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
	1394	batch_outputs=batch_outputs)
	1395
	1396	cpage = self.fit_panel.get_page_by_id(pid)
	1397	cpage._on_fit_complete()
	1398	self.page_finder[pid][data.id].set_result(res)
	1399	fitproblem = self.page_finder[pid][data.id]
	1400	qmin, qmax = fitproblem.get_range()
	1401	plot_result = False
	1402	if correct_result:
	1403	if not is_data2d:
	1404	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
	1405	elapsed=None,
	1406	index=res.index, model=model,
	1407	weight=None, fid=data.id,
	1408	toggle_mode_on=False, state=None,
	1409	data=data, update_chisqr=False,
	1410	source='fit', plot_result=plot_result)
	1411	else:
	1412	self._complete2D(image=new_theory, data=data,
	1413	model=model,
	1414	page_id=pid, elapsed=None,
	1415	index=res.index,
	1416	qmin=qmin,
	1417	qmax=qmax, fid=data.id, weight=None,
	1418	toggle_mode_on=False, state=None,
	1419	update_chisqr=False,
	1420	source='fit', plot_result=plot_result)
	1421	self.on_set_batch_result(page_id=pid,
	1422	fid=data.id,
	1423	batch_outputs=batch_outputs,
	1424	batch_inputs=batch_inputs)
	1425
[934ce649]	1426	evt = StatusEvent(status=msg, error="info", type="stop")
	1427	wx.PostEvent(self.parent, evt)
[f76bf17]	1428	# Remove parameters that are not shown
	1429	cpage = self.fit_panel.get_page_by_id(uid)
	1430	tbatch_outputs = {}
	1431	shownkeystr = cpage.get_copy_params()
	1432	for key in batch_outputs.keys():
	1433	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
	1434	tbatch_outputs[key] = batch_outputs[key]
	1435
	1436	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1437	batch_inputs, self.sub_menu)
	1438
	1439	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1440	"""
	1441	"""
	1442	pid = page_id
	1443	if fid not in self.page_finder[pid]:
	1444	return
	1445	fitproblem = self.page_finder[pid][fid]
	1446	index = self.page_finder[pid].nbr_residuals_computed - 1
	1447	residuals = fitproblem.get_residuals()
	1448	theory_data = fitproblem.get_theory_data()
	1449	data = fitproblem.get_fit_data()
	1450	model = fitproblem.get_model()
	1451	#fill batch result information
	1452	if "Data" not in batch_outputs.keys():
	1453	batch_outputs["Data"] = []
[d85c194]	1454	from sas.sasgui.guiframe.data_processor import BatchCell
[f76bf17]	1455	cell = BatchCell()
	1456	cell.label = data.name
	1457	cell.value = index
	1458
	1459	if theory_data != None:
	1460	#Suucessful fit
	1461	theory_data.id = wx.NewId()
	1462	theory_data.name = model.name + "[%s]" % str(data.name)
	1463	if issubclass(theory_data.__class__, Data2D):
	1464	group_id = wx.NewId()
	1465	theory_data.group_id = group_id
	1466	if group_id not in theory_data.list_group_id:
	1467	theory_data.list_group_id.append(group_id)
	1468
	1469	try:
	1470	# associate residuals plot
	1471	if issubclass(residuals.__class__, Data2D):
	1472	group_id = wx.NewId()
	1473	residuals.group_id = group_id
	1474	if group_id not in residuals.list_group_id:
	1475	residuals.list_group_id.append(group_id)
	1476	batch_outputs["Chi2"][index].object = [residuals]
	1477	except:
	1478	pass
	1479
	1480	cell.object = [data, theory_data]
	1481	batch_outputs["Data"].append(cell)
	1482	for key, value in data.meta_data.iteritems():
	1483	if key not in batch_inputs.keys():
	1484	batch_inputs[key] = []
	1485	#if key.lower().strip() != "loader":
	1486	batch_inputs[key].append(value)
	1487	param = "temperature"
	1488	if hasattr(data.sample, param):
	1489	if param not in batch_inputs.keys():
	1490	batch_inputs[param] = []
	1491	batch_inputs[param].append(data.sample.temperature)
	1492
	1493	def _fit_completed(self, result, page_id, batch_outputs,
	1494	batch_inputs=None, pars=None, elapsed=None):
	1495	"""
	1496	Display result of the fit on related panel(s).
	1497	:param result: list of object generated when fit ends
	1498	:param pars: list of names of parameters fitted
	1499	:param page_id: list of page ids which called fit function
	1500	:param elapsed: time spent at the fitting level
	1501	"""
	1502	t1 = time.time()
	1503	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1504	msg = "Fit completed on %s \n" % str_time
	1505	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1506	evt = StatusEvent(status=msg, info="info", type="stop")
	1507	wx.PostEvent(self.parent, evt)
[f76bf17]	1508	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
[373d4ee]	1509	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1510	result = result[0]
	1511	self.fit_thread_list = {}
	1512	if page_id is None:
	1513	page_id = []
	1514	## fit more than 1 model at the same time
	1515	try:
	1516	index = 0
[aac161f1]	1517	# Update potential simfit page(s)
	1518	if self.sim_page is not None:
	1519	self.sim_page._on_fit_complete()
	1520	if self.batch_page:
	1521	self.batch_page._on_fit_complete()
	1522	# Update all fit pages
[f76bf17]	1523	for uid in page_id:
	1524	res = result[index]
[1a5d5f2]	1525	fit_msg = res.mesg
[f76bf17]	1526	if res.fitness is None or \
[9a5097c]	1527	not np.isfinite(res.fitness) or \
	1528	np.any(res.pvec == None) or \
	1529	not np.all(np.isfinite(res.pvec)):
[1a5d5f2]	1530	fit_msg += "\nFitting did not converge!!!"
[373d4ee]	1531	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1532	else:
	1533	#set the panel when fit result are float not list
[9a5097c]	1534	if res.pvec.__class__ == np.float64:
[f76bf17]	1535	pvec = [res.pvec]
	1536	else:
	1537	pvec = res.pvec
[9a5097c]	1538	if res.stderr.__class__ == np.float64:
[f76bf17]	1539	stderr = [res.stderr]
	1540	else:
	1541	stderr = res.stderr
	1542	cpage = self.fit_panel.get_page_by_id(uid)
	1543	# Make sure we got all results
	1544	#(CallAfter is important to MAC)
	1545	try:
	1546	#if res != None:
	1547	wx.CallAfter(cpage.onsetValues, res.fitness,
	1548	res.param_list,
	1549	pvec, stderr)
	1550	index += 1
	1551	wx.CallAfter(cpage._on_fit_complete)
	1552	except KeyboardInterrupt:
[1a5d5f2]	1553	fit_msg += "\nSingular point: Fitting stopped."
[f76bf17]	1554	except:
[1a5d5f2]	1555	fit_msg += "\nSingular point: Fitting error occurred."
	1556	if fit_msg:
	1557	evt = StatusEvent(status=fit_msg, info="warning", type="stop")
	1558	wx.PostEvent(self.parent, evt)
[f76bf17]	1559
	1560	except:
[e1442d4]	1561	msg = ("Fit completed but the following error occurred: %s"
	1562	% sys.exc_value)
	1563	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
[934ce649]	1564	evt = StatusEvent(status=msg, info="warning", type="stop")
	1565	wx.PostEvent(self.parent, evt)
[f76bf17]	1566
	1567	def _update_fit_button(self, page_id):
	1568	"""
	1569	Update Fit button when fit stopped
	1570
	1571	: parameter page_id: fitpage where the button is
	1572	"""
	1573	if page_id.__class__.__name__ != 'list':
	1574	page_id = [page_id]
	1575	for uid in page_id:
	1576	page = self.fit_panel.get_page_by_id(uid)
	1577	page._on_fit_complete()
	1578
	1579	def _on_show_panel(self, event):
	1580	"""
	1581	"""
	1582	pass
	1583
	1584	def on_reset_batch_flag(self, event):
	1585	"""
	1586	Set batch_reset_flag
	1587	"""
	1588	event.Skip()
	1589	if self.menu1 == None:
	1590	return
	1591	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1592	flag = menu_item.IsChecked()
	1593	if not flag:
	1594	menu_item.Check(False)
	1595	self.batch_reset_flag = True
	1596	else:
	1597	menu_item.Check(True)
	1598	self.batch_reset_flag = False
	1599
	1600	## post a message to status bar
	1601	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
[934ce649]	1602	wx.PostEvent(self.parent, StatusEvent(status=msg))
[f76bf17]	1603
	1604
	1605	def _on_slicer_event(self, event):
	1606	"""
	1607	Receive a panel as event and send it to guiframe
	1608
	1609	:param event: event containing a panel
	1610
	1611	"""
	1612	if event.panel is not None:
	1613	self.slicer_panels.append(event.panel)
	1614	# Set group ID if available
	1615	event_id = self.parent.popup_panel(event.panel)
	1616	event.panel.uid = event_id
	1617	self.mypanels.append(event.panel)
	1618
	1619	def _onclearslicer(self, event):
	1620	"""
	1621	Clear the boxslicer when close the panel associate with this slicer
	1622	"""
	1623	name = event.GetEventObject().frame.GetTitle()
	1624	for panel in self.slicer_panels:
	1625	if panel.window_caption == name:
	1626
	1627	for item in self.parent.panels:
	1628	if hasattr(self.parent.panels[item], "uid"):
	1629	if self.parent.panels[item].uid == panel.base.uid:
	1630	self.parent.panels[item].onClearSlicer(event)
	1631	#self.parent._mgr.Update()
	1632	break
	1633	break
	1634
	1635	def _on_model_panel(self, evt):
	1636	"""
	1637	react to model selection on any combo box or model menu.plot the model
	1638
	1639	:param evt: wx.combobox event
	1640
	1641	"""
	1642	model = evt.model
	1643	uid = evt.uid
	1644	qmin = evt.qmin
	1645	qmax = evt.qmax
	1646	caption = evt.caption
	1647	enable_smearer = evt.enable_smearer
	1648	if model == None:
	1649	return
	1650	if uid not in self.page_finder.keys():
	1651	return
	1652	# save the name containing the data name with the appropriate model
	1653	self.page_finder[uid].set_model(model)
	1654	self.page_finder[uid].enable_smearing(enable_smearer)
	1655	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
	1656	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1657	if self.sim_page is not None and not self.batch_on:
	1658	self.sim_page.draw_page()
	1659	if self.batch_page is not None and self.batch_on:
	1660	self.batch_page.draw_page()
	1661
	1662	def _update1D(self, x, output):
	1663	"""
	1664	Update the output of plotting model 1D
	1665	"""
	1666	msg = "Plot updating ... "
	1667	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
	1668
[c807957]	1669	def create_theory_1D(self, x, y, page_id, model, data, state,
[804fefa]	1670	data_description, data_id, dy=None):
[c807957]	1671	"""
	1672	Create a theory object associate with an existing Data1D
	1673	and add it to the data manager.
	1674	@param x: x-values of the data
	1675	@param y: y_values of the data
	1676	@param page_id: fit page ID
	1677	@param model: model used for fitting
	1678	@param data: Data1D object to create the theory for
	1679	@param state: model state
	1680	@param data_description: title to use in the data manager
	1681	@param data_id: unique data ID
	1682	"""
	1683	new_plot = Data1D(x=x, y=y)
[6a0c75d1]	1684	if dy is None:
	1685	new_plot.is_data = False
[9a5097c]	1686	new_plot.dy = np.zeros(len(y))
[6a0c75d1]	1687	# If this is a theory curve, pick the proper symbol to make it a curve
	1688	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	1689	else:
	1690	new_plot.is_data = True
	1691	new_plot.dy = dy
[804fefa]	1692	new_plot.interactive = True
	1693	new_plot.dx = None
	1694	new_plot.dxl = None
	1695	new_plot.dxw = None
[c807957]	1696	_yaxis, _yunit = data.get_yaxis()
	1697	_xaxis, _xunit = data.get_xaxis()
	1698	new_plot.title = data.name
	1699	new_plot.group_id = data.group_id
	1700	if new_plot.group_id == None:
	1701	new_plot.group_id = data.group_id
	1702	new_plot.id = data_id
	1703	# Find if this theory was already plotted and replace that plot given
	1704	# the same id
	1705	self.page_finder[page_id].get_theory_data(fid=data.id)
	1706
	1707	if data.is_data:
	1708	data_name = str(data.name)
	1709	else:
	1710	data_name = str(model.__class__.__name__)
	1711
	1712	new_plot.name = data_description + " [" + data_name + "]"
	1713	new_plot.xaxis(_xaxis, _xunit)
	1714	new_plot.yaxis(_yaxis, _yunit)
	1715	self.page_finder[page_id].set_theory_data(data=new_plot,
	1716	fid=data.id)
	1717	self.parent.update_theory(data_id=data.id, theory=new_plot,
	1718	state=state)
	1719	return new_plot
	1720
[f76bf17]	1721	def _complete1D(self, x, y, page_id, elapsed, index, model,
	1722	weight=None, fid=None,
	1723	toggle_mode_on=False, state=None,
	1724	data=None, update_chisqr=True,
[804fefa]	1725	source='model', plot_result=True,
	1726	unsmeared_model=None, unsmeared_data=None,
[ca4d985]	1727	unsmeared_error=None, sq_model=None, pq_model=None):
[f76bf17]	1728	"""
[c807957]	1729	Complete plotting 1D data
	1730	@param unsmeared_model: fit model, without smearing
[804fefa]	1731	@param unsmeared_data: data, rescaled to unsmeared model
[edbe974]	1732	@param unsmeared_error: data error, rescaled to unsmeared model
[f76bf17]	1733	"""
	1734	try:
[9a5097c]	1735	np.nan_to_num(y)
[c807957]	1736	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
	1737	data_description=model.name,
	1738	data_id=str(page_id) + " " + data.name)
	1739	if unsmeared_model is not None:
	1740	self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
	1741	data_description=model.name + " unsmeared",
	1742	data_id=str(page_id) + " " + data.name + " unsmeared")
[f76bf17]	1743
[286c757]	1744	if unsmeared_data is not None and unsmeared_error is not None:
	1745	self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
	1746	data_description="Data unsmeared",
	1747	data_id="Data " + data.name + " unsmeared",
	1748	dy=unsmeared_error)
[4c5098c]	1749	# Comment this out until we can get P*S models with correctly populated parameters
	1750	#if sq_model is not None and pq_model is not None:
	1751	# self.create_theory_1D(x, sq_model, page_id, model, data, state,
	1752	# data_description=model.name + " S(q)",
	1753	# data_id=str(page_id) + " " + data.name + " S(q)")
	1754	# self.create_theory_1D(x, pq_model, page_id, model, data, state,
	1755	# data_description=model.name + " P(q)",
	1756	# data_id=str(page_id) + " " + data.name + " P(q)")
[804fefa]	1757
[f76bf17]	1758	current_pg = self.fit_panel.get_page_by_id(page_id)
	1759	title = new_plot.title
	1760	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1761	if not batch_on:
	1762	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1763	title=str(title)))
	1764	elif plot_result:
	1765	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1766	if data.id == top_data_id:
	1767	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1768	title=str(title)))
	1769	caption = current_pg.window_caption
	1770	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
	1771
	1772	self.page_finder[page_id].set_theory_data(data=new_plot,
	1773	fid=data.id)
	1774	if toggle_mode_on:
	1775	wx.PostEvent(self.parent,
	1776	NewPlotEvent(group_id=str(page_id) + " Model2D",
	1777	action="Hide"))
	1778	else:
	1779	if update_chisqr:
	1780	wx.PostEvent(current_pg,
	1781	Chi2UpdateEvent(output=self._cal_chisqr(
	1782	data=data,
	1783	fid=fid,
	1784	weight=weight,
	1785	page_id=page_id,
	1786	index=index)))
	1787	else:
	1788	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1789	index=index, weight=weight)
	1790
	1791	msg = "Computation completed!"
	1792	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1793	except:
	1794	raise
	1795
[934ce649]	1796	def _calc_exception(self, etype, value, tb):
	1797	"""
	1798	Handle exception from calculator by posting it as an error.
	1799	"""
[c155a16]	1800	logger.error("".join(traceback.format_exception(etype, value, tb)))
[934ce649]	1801	msg = traceback.format_exception(etype, value, tb, limit=1)
	1802	evt = StatusEvent(status="".join(msg), type="stop", info="error")
	1803	wx.PostEvent(self.parent, evt)
	1804
[f76bf17]	1805	def _update2D(self, output, time=None):
	1806	"""
	1807	Update the output of plotting model
	1808	"""
[934ce649]	1809	msg = "Plot updating ... "
	1810	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
[f76bf17]	1811
	1812	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1813	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
	1814	update_chisqr=True, source='model', plot_result=True):
	1815	"""
	1816	Complete get the result of modelthread and create model 2D
	1817	that can be plot.
	1818	"""
[9a5097c]	1819	np.nan_to_num(image)
[f76bf17]	1820	new_plot = Data2D(image=image, err_image=data.err_data)
	1821	new_plot.name = model.name + '2d'
	1822	new_plot.title = "Analytical model 2D "
	1823	new_plot.id = str(page_id) + " " + data.name
	1824	new_plot.group_id = str(page_id) + " Model2D"
	1825	new_plot.detector = data.detector
	1826	new_plot.source = data.source
	1827	new_plot.is_data = False
	1828	new_plot.qx_data = data.qx_data
	1829	new_plot.qy_data = data.qy_data
	1830	new_plot.q_data = data.q_data
	1831	new_plot.mask = data.mask
	1832	## plot boundaries
	1833	new_plot.ymin = data.ymin
	1834	new_plot.ymax = data.ymax
	1835	new_plot.xmin = data.xmin
	1836	new_plot.xmax = data.xmax
	1837	title = data.title
	1838
	1839	new_plot.is_data = False
	1840	if data.is_data:
	1841	data_name = str(data.name)
	1842	else:
	1843	data_name = str(model.__class__.__name__) + '2d'
	1844
	1845	if len(title) > 1:
	1846	new_plot.title = "Model2D for %s " % model.name + data_name
	1847	new_plot.name = model.name + " [" + \
	1848	data_name + "]"
	1849	theory_data = deepcopy(new_plot)
	1850
	1851	self.page_finder[page_id].set_theory_data(data=theory_data,
	1852	fid=data.id)
	1853	self.parent.update_theory(data_id=data.id,
	1854	theory=new_plot,
	1855	state=state)
	1856	current_pg = self.fit_panel.get_page_by_id(page_id)
	1857	title = new_plot.title
	1858	if not source == 'fit' and plot_result:
	1859	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1860	title=title))
	1861	if toggle_mode_on:
	1862	wx.PostEvent(self.parent,
	1863	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1864	action="Hide"))
	1865	else:
	1866	# Chisqr in fitpage
	1867	if update_chisqr:
	1868	wx.PostEvent(current_pg,
	1869	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
	1870	weight=weight,
	1871	fid=fid,
	1872	page_id=page_id,
	1873	index=index)))
	1874	else:
	1875	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1876	index=index, weight=weight)
	1877	msg = "Computation completed!"
	1878	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1879
	1880	def _draw_model2D(self, model, page_id, qmin,
	1881	qmax,
	1882	data=None, smearer=None,
	1883	description=None, enable2D=False,
	1884	state=None,
	1885	fid=None,
	1886	weight=None,
	1887	toggle_mode_on=False,
	1888	update_chisqr=True, source='model'):
	1889	"""
	1890	draw model in 2D
	1891
	1892	:param model: instance of the model to draw
	1893	:param description: the description of the model
	1894	:param enable2D: when True allows to draw model 2D
	1895	:param qmin: the minimum value to draw model 2D
	1896	:param qmax: the maximum value to draw model 2D
	1897	:param qstep: the number of division of Qx and Qy of the model to draw
	1898
	1899	"""
	1900	if not enable2D:
	1901	return None
	1902	try:
	1903	from model_thread import Calc2D
	1904	## If a thread is already started, stop it
	1905	if (self.calc_2D is not None) and self.calc_2D.isrunning():
	1906	self.calc_2D.stop()
	1907	## stop just raises a flag to tell the thread to kill
	1908	## itself -- see the fix in Calc1D implemented to fix
	1909	## an actual problem. Seems the fix should also go here
	1910	## and may be the cause of other noted instabilities
	1911	##
	1912	## -PDB August 12, 2014
	1913	while self.calc_2D.isrunning():
	1914	time.sleep(0.1)
	1915	self.calc_2D = Calc2D(model=model,
[934ce649]	1916	data=data,
	1917	page_id=page_id,
	1918	smearer=smearer,
	1919	qmin=qmin,
	1920	qmax=qmax,
	1921	weight=weight,
	1922	fid=fid,
	1923	toggle_mode_on=toggle_mode_on,
	1924	state=state,
	1925	completefn=self._complete2D,
	1926	update_chisqr=update_chisqr,
	1927	exception_handler=self._calc_exception,
	1928	source=source)
[f76bf17]	1929	self.calc_2D.queue()
	1930	except:
	1931	raise
	1932
	1933	def _draw_model1D(self, model, page_id, data,
	1934	qmin, qmax, smearer=None,
	1935	state=None,
	1936	weight=None,
	1937	fid=None,
	1938	toggle_mode_on=False, update_chisqr=True, source='model',
	1939	enable1D=True):
	1940	"""
	1941	Draw model 1D from loaded data1D
	1942
	1943	:param data: loaded data
	1944	:param model: the model to plot
	1945
	1946	"""
	1947	if not enable1D:
	1948	return
	1949	try:
	1950	from model_thread import Calc1D
	1951	## If a thread is already started, stop it
	1952	if (self.calc_1D is not None) and self.calc_1D.isrunning():
	1953	self.calc_1D.stop()
	1954	## stop just raises the flag -- the thread is supposed to
	1955	## then kill itself but cannot. Paul Kienzle came up with
	1956	## this fix to prevent threads from stepping on each other
[ddbac66]	1957	## which was causing a simple custom plugin model to crash
	1958	##Sasview.
[f76bf17]	1959	## We still don't know why the fit sometimes lauched a second
	1960	## thread -- something which should also be investigated.
	1961	## The thread approach was implemented in order to be able
	1962	## to lauch a computation in a separate thread from the GUI so
	1963	## that the GUI can still respond to user input including
	1964	## a request to stop the computation.
	1965	## It seems thus that the whole thread approach used here
	1966	## May need rethinking
	1967	##
[d99f008]	1968	## -PDB August 12, 2014
[f76bf17]	1969	while self.calc_1D.isrunning():
	1970	time.sleep(0.1)
	1971	self.calc_1D = Calc1D(data=data,
	1972	model=model,
	1973	page_id=page_id,
	1974	qmin=qmin,
	1975	qmax=qmax,
	1976	smearer=smearer,
	1977	state=state,
	1978	weight=weight,
	1979	fid=fid,
	1980	toggle_mode_on=toggle_mode_on,
	1981	completefn=self._complete1D,
	1982	#updatefn = self._update1D,
	1983	update_chisqr=update_chisqr,
[934ce649]	1984	exception_handler=self._calc_exception,
[f76bf17]	1985	source=source)
	1986	self.calc_1D.queue()
	1987	except:
	1988	msg = " Error occurred when drawing %s Model 1D: " % model.name
	1989	msg += " %s" % sys.exc_value
	1990	wx.PostEvent(self.parent, StatusEvent(status=msg))
	1991
	1992	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
	1993	"""
	1994	Get handy Chisqr using the output from draw1D and 2D,
	1995	instead of calling expansive CalcChisqr in guithread
	1996	"""
	1997	try:
	1998	data_copy = deepcopy(data)
	1999	except:
	2000	return
	2001	# default chisqr
	2002	chisqr = None
	2003	#to compute chisq make sure data has valid data
	2004	# return None if data == None
	2005	if not check_data_validity(data_copy) or data_copy == None:
	2006	return chisqr
	2007
	2008	# Get data: data I, theory I, and data dI in order
	2009	if data_copy.__class__.__name__ == "Data2D":
	2010	if index == None:
[9a5097c]	2011	index = np.ones(len(data_copy.data), dtype=bool)
[f76bf17]	2012	if weight != None:
	2013	data_copy.err_data = weight
	2014	# get rid of zero error points
	2015	index = index & (data_copy.err_data != 0)
[9a5097c]	2016	index = index & (np.isfinite(data_copy.data))
[f76bf17]	2017	fn = data_copy.data[index]
	2018	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2019	if theory_data == None:
	2020	return chisqr
	2021	gn = theory_data.data[index]
	2022	en = data_copy.err_data[index]
	2023	else:
	2024	# 1 d theory from model_thread is only in the range of index
	2025	if index == None:
[9a5097c]	2026	index = np.ones(len(data_copy.y), dtype=bool)
[f76bf17]	2027	if weight != None:
	2028	data_copy.dy = weight
	2029	if data_copy.dy == None or data_copy.dy == []:
[9a5097c]	2030	dy = np.ones(len(data_copy.y))
[f76bf17]	2031	else:
[acf8e4a5]	2032	## Set consistently w/AbstractFitengine:
[f76bf17]	2033	# But this should be corrected later.
	2034	dy = deepcopy(data_copy.dy)
	2035	dy[dy == 0] = 1
	2036	fn = data_copy.y[index]
	2037
	2038	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2039	if theory_data == None:
	2040	return chisqr
	2041	gn = theory_data.y
	2042	en = dy[index]
	2043
	2044	# residual
	2045	try:
	2046	res = (fn - gn) / en
	2047	except ValueError:
	2048	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
	2049	return
	2050
[9a5097c]	2051	residuals = res[np.isfinite(res)]
[f76bf17]	2052	# get chisqr only w/finite
[9a5097c]	2053	chisqr = np.average(residuals * residuals)
[f76bf17]	2054
	2055	self._plot_residuals(page_id=page_id, data=data_copy,
	2056	fid=fid,
	2057	weight=weight, index=index)
	2058
	2059	return chisqr
	2060
	2061	def _plot_residuals(self, page_id, weight, fid=None,
	2062	data=None, index=None):
	2063	"""
	2064	Plot the residuals
	2065
	2066	:param data: data
	2067	:param index: index array (bool)
	2068	: Note: this is different from the residuals in cal_chisqr()
	2069	"""
	2070	data_copy = deepcopy(data)
	2071	# Get data: data I, theory I, and data dI in order
	2072	if data_copy.__class__.__name__ == "Data2D":
	2073	# build residuals
	2074	residuals = Data2D()
	2075	#residuals.copy_from_datainfo(data)
	2076	# Not for trunk the line below, instead use the line above
	2077	data_copy.clone_without_data(len(data_copy.data), residuals)
	2078	residuals.data = None
	2079	fn = data_copy.data
	2080	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2081	gn = theory_data.data
	2082	if weight == None:
	2083	en = data_copy.err_data
	2084	else:
	2085	en = weight
	2086	residuals.data = (fn - gn) / en
	2087	residuals.qx_data = data_copy.qx_data
	2088	residuals.qy_data = data_copy.qy_data
	2089	residuals.q_data = data_copy.q_data
[9a5097c]	2090	residuals.err_data = np.ones(len(residuals.data))
[f76bf17]	2091	residuals.xmin = min(residuals.qx_data)
	2092	residuals.xmax = max(residuals.qx_data)
	2093	residuals.ymin = min(residuals.qy_data)
	2094	residuals.ymax = max(residuals.qy_data)
	2095	residuals.q_data = data_copy.q_data
	2096	residuals.mask = data_copy.mask
	2097	residuals.scale = 'linear'
	2098	# check the lengths
	2099	if len(residuals.data) != len(residuals.q_data):
	2100	return
	2101	else:
	2102	# 1 d theory from model_thread is only in the range of index
	2103	if data_copy.dy == None or data_copy.dy == []:
[9a5097c]	2104	dy = np.ones(len(data_copy.y))
[f76bf17]	2105	else:
	2106	if weight == None:
[9a5097c]	2107	dy = np.ones(len(data_copy.y))
[f76bf17]	2108	## Set consitently w/AbstractFitengine:
	2109	## But this should be corrected later.
	2110	else:
	2111	dy = weight
	2112	dy[dy == 0] = 1
	2113	fn = data_copy.y[index]
	2114	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2115	gn = theory_data.y
	2116	en = dy[index]
	2117	# build residuals
	2118	residuals = Data1D()
	2119	try:
	2120	residuals.y = (fn - gn) / en
	2121	except:
	2122	msg = "ResidualPlot Error: different # of data points in theory"
	2123	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	2124	residuals.y = (fn - gn[index]) / en
	2125	residuals.x = data_copy.x[index]
[9a5097c]	2126	residuals.dy = np.ones(len(residuals.y))
[f76bf17]	2127	residuals.dx = None
	2128	residuals.dxl = None
	2129	residuals.dxw = None
	2130	residuals.ytransform = 'y'
	2131	# For latter scale changes
	2132	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2133	residuals.yaxis('\\rm{Residuals} ', 'normalized')
	2134	theory_name = str(theory_data.name.split()[0])
	2135	new_plot = residuals
	2136	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
	2137	str(data.name) + "]"
	2138	## allow to highlight data when plotted
	2139	new_plot.interactive = True
	2140	## when 2 data have the same id override the 1 st plotted
	2141	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
	2142	##group_id specify on which panel to plot this data
	2143	group_id = self.page_finder[page_id].get_graph_id()
	2144	if group_id == None:
	2145	group_id = data.group_id
	2146	new_plot.group_id = "res" + str(group_id)
	2147	#new_plot.is_data = True
	2148	##post data to plot
	2149	title = new_plot.name
	2150	self.page_finder[page_id].set_residuals(residuals=new_plot,
	2151	fid=data.id)
	2152	self.parent.update_theory(data_id=data.id, theory=new_plot)
	2153	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	2154	if not batch_on:
	2155	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ 6435594

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