fitting.py @ 386ffe1

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 386ffe1 was 386ffe1, checked in by pkienzle, 9 years ago
remove scipy levenburg marquardt and park from ui
Property mode set to `100644`
File size: 87.1 KB

Rev	Line
[6d8bad4]	1	"""
	2	Fitting perspective
	3	"""
[5062bbf]	4	################################################################################
	5	#This software was developed by the University of Tennessee as part of the
	6	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
[f32d144]	7	#project funded by the US National Science Foundation.
[5062bbf]	8	#
	9	#See the license text in license.txt
	10	#
	11	#copyright 2009, University of Tennessee
	12	################################################################################
[a0da535]	13	import re
[5536035]	14	import sys
[056b569]	15	import os
[5536035]	16	import wx
	17	import logging
	18	import numpy
[c3b4dcb]	19	import time
[edcbd467]	20	from copy import deepcopy
[f83b94a]	21	import models
	22
[79492222]	23	from sas.dataloader.loader import Loader
	24	from sas.guiframe.dataFitting import Data2D
	25	from sas.guiframe.dataFitting import Data1D
	26	from sas.guiframe.dataFitting import check_data_validity
	27	from sas.guiframe.events import NewPlotEvent
	28	from sas.guiframe.events import StatusEvent
	29	from sas.guiframe.events import EVT_SLICER_PANEL
	30	from sas.guiframe.events import EVT_SLICER_PARS_UPDATE
	31	from sas.guiframe.gui_style import GUIFRAME_ID
	32	from sas.guiframe.plugin_base import PluginBase
	33	from sas.guiframe.data_processor import BatchCell
	34	from sas.fit.Fitting import Fit
[b9a5f0e]	35	from sas.perspectives.fitting.console import ConsoleUpdate
	36	from sas.perspectives.fitting.fitproblem import FitProblemDictionary
	37	from sas.perspectives.fitting.fitpanel import FitPanel
	38	from sas.perspectives.fitting.resultpanel import ResultPanel, PlotResultEvent
[ed4aef2]	39
[b9a5f0e]	40	from sas.perspectives.fitting.fit_thread import FitThread
	41	from sas.perspectives.fitting.pagestate import Reader
	42	from sas.perspectives.fitting.fitpage import Chi2UpdateEvent
[79492222]	43	from sas.perspectives.calculator.model_editor import TextDialog
	44	from sas.perspectives.calculator.model_editor import EditorWindow
	45	from sas.guiframe.gui_manager import MDIFrame
[ed2ea6a]	46
[c26a64b]	47	MAX_NBR_DATA = 4
[5062bbf]	48
[f32d144]	49	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
[92a5ac92]	50
[5062bbf]	51
[940aca7]	52	if sys.platform == "win32":
[f6aee42]	53	ON_MAC = False
	54	else:
[f32d144]	55	ON_MAC = True
	56
[3658abed]	57
[df7a7e3]	58
[3658abed]	59	class Plugin(PluginBase):
[d89f09b]	60	"""
[f32d144]	61	Fitting plugin is used to perform fit
[d89f09b]	62	"""
[3658abed]	63	def __init__(self, standalone=False):
[908b817]	64	PluginBase.__init__(self, name="Fitting", standalone=standalone)
[d89f09b]	65
[ed2ea6a]	66	#list of panel to send to guiframe
[f83b94a]	67	self.mypanels = []
[ed2ea6a]	68	# reference to the current running thread
[f83b94a]	69	self.calc_2D = None
	70	self.calc_1D = None
[9f4f8f4]	71
	72	self.color_dict = {}
	73
[66ff250]	74	self.fit_thread_list = {}
[2296316]	75	self.residuals = None
[55bb249c]	76	self.weight = None
[9466f2d6]	77	self.fit_panel = None
[940aca7]	78	self.plot_panel = None
[d89f09b]	79	# Start with a good default
	80	self.elapsed = 0.022
[2296316]	81	self.fit_panel = None
[ed2ea6a]	82	#Flag to let the plug-in know that it is running stand alone
[f83b94a]	83	self.standalone = True
[f32d144]	84	## dictionary of page closed and id
[f83b94a]	85	self.closed_page_dict = {}
[d89f09b]	86	## Fit engine
[eff93b8]	87	self._fit_engine = 'bumps'
[7db52f1]	88	self._gui_engine = None
[386ffe1]	89	## Relative error desired in the sum of squares (float)
[7db52f1]	90	self.batch_reset_flag = True
[ed2ea6a]	91	#List of selected data
[f83b94a]	92	self.selected_data_list = []
[c3435b7f]	93	## list of slicer panel created to display slicer parameters and results
[f83b94a]	94	self.slicer_panels = []
[32d802f]	95	# model 2D view
[f83b94a]	96	self.model2D_id = None
[ed2ea6a]	97	#keep reference of the simultaneous fit page
[f83b94a]	98	self.sim_page = None
[fa02d95]	99	self.sim_menu = None
	100	self.batch_page = None
	101	self.batch_menu = None
[ae4ade7]	102	self.index_model = 0
[9f4f8f4]	103	self.test_model_color = None
[f83b94a]	104	#Create a reader for fit page's state
[f32d144]	105	self.state_reader = None
[c8deee5]	106	self._extensions = '.fitv'
[dafc36f]	107	self.menu1 = None
[6f140f2]	108	self.new_model_frame = None
[0b6ae5f]	109
[4da35bc]	110	self.temp_state = []
[ef16f59]	111	self.state_index = 0
[b63dc6e]	112	self.sfile_ext = None
[6bbeacd4]	113	# take care of saving data, model and page associated with each other
	114	self.page_finder = {}
[f83b94a]	115	# Log startup
[f32d144]	116	logging.info("Fitting plug-in started")
[7360816]	117	self.batch_capable = self.get_batch_capable()
	118
	119	def get_batch_capable(self):
	120	"""
	121	Check if the plugin has a batch capability
	122	"""
	123	return True
[9f4f8f4]	124
[2dbffcc]	125	def create_fit_problem(self, page_id):
	126	"""
	127	Given an ID create a fitproblem container
	128	"""
	129	self.page_finder[page_id] = FitProblemDictionary()
	130
[644ca73]	131	def delete_fit_problem(self, page_id):
[2dbffcc]	132	"""
	133	Given an ID create a fitproblem container
	134	"""
	135	if page_id in self.page_finder.iterkeys():
	136	del self.page_finder[page_id]
	137
[9f4f8f4]	138	def add_color(self, color, id):
	139	"""
	140	adds a color as a key with a plot id as its value to a dictionary
	141	"""
	142	self.color_dict[id] = color
[2a8fac1]	143
[cc31608]	144	def on_batch_selection(self, flag):
	145	"""
	146	switch the the notebook of batch mode or not
	147	"""
	148	self.batch_on = flag
[2dbffcc]	149	if self.fit_panel is not None:
	150	self.fit_panel.batch_on = self.batch_on
[cc31608]	151
[cab076b]	152	def populate_menu(self, owner):
[d89f09b]	153	"""
[5062bbf]	154	Create a menu for the Fitting plug-in
	155
	156	:param id: id to create a menu
	157	:param owner: owner of menu
	158
	159	:return: list of information to populate the main menu
	160
[d89f09b]	161	"""
	162	#Menu for fitting
	163	self.menu1 = wx.Menu()
[0b6ae5f]	164	id1 = wx.NewId()
	165	simul_help = "Add new fit panel"
[f32d144]	166	self.menu1.Append(id1, '&New Fit Page', simul_help)
[0b6ae5f]	167	wx.EVT_MENU(owner, id1, self.on_add_new_page)
[6f023e8]	168	self.menu1.AppendSeparator()
[dafc36f]	169	self.id_simfit = wx.NewId()
[b6a181b]	170	simul_help = "Constrained or Simultaneous Fit"
	171	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
[dafc36f]	172	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
[fa02d95]	173	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
[f32d144]	174	self.sim_menu.Enable(False)
[fa02d95]	175	#combined Batch
	176	self.id_batchfit = wx.NewId()
[7b1ca97]	177	batch_help = "Combined Batch"
[fa02d95]	178	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
[f32d144]	179	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
[fa02d95]	180	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
[f32d144]	181	self.batch_menu.Enable(False)
[f7e9af2]	182	self.menu1.AppendSeparator()
[6fe5100]	183
[386ffe1]	184	self.menu1.AppendSeparator()
[6fe5100]	185	self.id_bumps_options = wx.NewId()
[386ffe1]	186	bopts_help = "Fitting options"
	187	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
[6fe5100]	188	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
	189	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
	190	self.bumps_options_menu.Enable(True)
[ed4aef2]	191
	192	self.id_result_panel = wx.NewId()
[f121904]	193	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
	194	wx.EVT_MENU(owner, self.id_result_panel, lambda ev: self.result_frame.Show())
[da6fd1a]	195	self.menu1.AppendSeparator()
[2c6b224]	196
[da6fd1a]	197	self.id_reset_flag = wx.NewId()
	198	resetf_help = "BatchFit: If checked, the initial param values will be "
[f32d144]	199	resetf_help += "propagated from the previous results. "
[da6fd1a]	200	resetf_help += "Otherwise, the same initial param values will be used "
[f32d144]	201	resetf_help += "for all fittings."
	202	self.menu1.AppendCheckItem(self.id_reset_flag,
	203	"Chain Fitting [BatchFit Only]",
	204	resetf_help)
	205	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
[70e439f]	206	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
	207	chain_menu.Check(not self.batch_reset_flag)
	208	chain_menu.Enable(self.batch_on)
[056b569]	209
	210	self.menu1.AppendSeparator()
[5d1c1f4]	211	self.edit_model_menu = wx.Menu()
	212	# Find and put files name in menu
	213	try:
	214	self.set_edit_menu(owner=owner)
	215	except:
	216	raise
[056b569]	217
[5d1c1f4]	218	self.id_edit = wx.NewId()
[f32d144]	219	editmodel_help = "Edit customized model sample file"
	220	self.menu1.AppendMenu(self.id_edit, "Edit Custom Model",
[5d1c1f4]	221	self.edit_model_menu, editmodel_help)
[3b19ac9]	222	#create menubar items
[908b817]	223	return [(self.menu1, self.sub_menu)]
[056b569]	224
	225	def edit_custom_model(self, event):
	226	"""
	227	Get the python editor panel
	228	"""
[5d1c1f4]	229	id = event.GetId()
[7c8d3093]	230	label = self.edit_menu.GetLabel(id)
[79492222]	231	from sas.perspectives.calculator.pyconsole import PyConsole
[5d1c1f4]	232	filename = os.path.join(models.find_plugins_dir(), label)
[f32d144]	233	frame = PyConsole(parent=self.parent, manager=self,
	234	panel=self.fit_panel,
	235	title='Advanced Custom Model Editor',
	236	filename=filename)
[056b569]	237	self.put_icon(frame)
[f32d144]	238	frame.Show(True)
[7c8d3093]	239
[b25caad]	240	def delete_custom_model(self, event):
	241	"""
	242	Delete custom model file
	243	"""
	244	id = event.GetId()
	245	label = self.delete_menu.GetLabel(id)
	246	toks = os.path.splitext(label)
	247	path = os.path.join(models.find_plugins_dir(), toks[0])
	248	try:
	249	for ext in ['.py', '.pyc']:
	250	p_path = path + ext
	251	os.remove(p_path)
	252	self.update_custom_combo()
[19e614a]	253	if os.path.isfile(p_path):
	254	msg = "Sorry! Could not be able to delete the default "
	255	msg += "custom model... \n"
	256	msg += "Please manually remove the files (.py, .pyc) "
	257	msg += "in the 'plugin_models' folder \n"
[fd5ac0d]	258	msg += "inside of the SasView application, "
[19e614a]	259	msg += "and try it again."
	260	wx.MessageBox(msg, 'Info')
	261	#wx.PostEvent(self.parent, StatusEvent(status=msg, type='stop',
	262	# info='warning'))
	263	else:
	264	self.delete_menu.Delete(id)
	265	for item in self.edit_menu.GetMenuItems():
	266	if item.GetLabel() == label:
	267	self.edit_menu.DeleteItem(item)
	268	msg = "The custom model, %s, has been deleted."% label
	269	wx.PostEvent(self.parent, StatusEvent(status=msg,
	270	type='stop', info='info'))
	271	break
[b25caad]	272	except:
	273	msg ='Delete Error: \nCould not delete the file; Check if in use.'
[19e614a]	274	wx.MessageBox(msg, 'Error')
[b25caad]	275
[7c8d3093]	276	def make_sum_model(self, event):
	277	"""
	278	Edit summodel template and make one
	279	"""
	280	id = event.GetId()
	281	model_manager = models.ModelManager()
	282	model_list = model_manager.get_model_name_list()
[796c4d4]	283	plug_dir = models.find_plugins_dir()
[fdef956]	284	textdial = TextDialog(None, self, -1, 'Easy Sum/Multi(p1, p2) Editor',
[796c4d4]	285	model_list, plug_dir)
[7c8d3093]	286	self.put_icon(textdial)
[f32d144]	287	textdial.ShowModal()
[7c8d3093]	288	textdial.Destroy()
[6f140f2]	289
	290	def make_new_model(self, event):
	291	"""
[f32d144]	292	Make new model
[6f140f2]	293	"""
[6057915]	294	if self.new_model_frame != None:
[6f140f2]	295	self.new_model_frame.Show(False)
[6057915]	296	self.new_model_frame.Show(True)
[6f140f2]	297	else:
	298	id = event.GetId()
	299	dir_path = models.find_plugins_dir()
	300	title = "New Custom Model Function"
[f32d144]	301	self.new_model_frame = EditorWindow(parent=self, base=self,
[6f140f2]	302	path=dir_path, title=title)
	303	self.put_icon(self.new_model_frame)
	304	self.new_model_frame.Show(True)
[7c8d3093]	305
[ed8fa6a3]	306	def update_custom_combo(self):
	307	"""
	308	Update custom model list in the fitpage combo box
	309	"""
[ea5fa58]	310	custom_model = 'Customized Models'
[ed8fa6a3]	311	try:
[b25caad]	312	# Update edit menus
	313	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
	314	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
[ed8fa6a3]	315	temp = self.fit_panel.reset_pmodel_list()
	316	if temp:
	317	# Set the new custom model list for all fit pages
	318	for uid, page in self.fit_panel.opened_pages.iteritems():
	319	if hasattr(page, "formfactorbox"):
	320	page.model_list_box = temp
[19e614a]	321	current_val = page.formfactorbox.GetLabel()
[ea5fa58]	322	#if page.plugin_rbutton.GetValue():
	323	mod_cat = page.categorybox.GetStringSelection()
	324	if mod_cat == custom_model:
[b9dd680]	325	#pos = page.formfactorbox.GetSelection()
	326	page._show_combox_helper()
	327	new_val = page.formfactorbox.GetLabel()
	328	if current_val != new_val and new_val != '':
	329	page.formfactorbox.SetLabel(new_val)
	330	else:
	331	page.formfactorbox.SetLabel(current_val)
[ed8fa6a3]	332	except:
	333	pass
	334
	335
[f32d144]	336	def set_edit_menu(self, owner):
[5d1c1f4]	337	"""
	338	Set list of the edit model menu labels
	339	"""
[7c8d3093]	340	id = wx.NewId()
[6f140f2]	341	#new_model_menu = wx.Menu()
[f32d144]	342	self.edit_model_menu.Append(id, 'New',
	343	'Add a new model function')
	344	wx.EVT_MENU(owner, id, self.make_new_model)
[6f140f2]	345	id = wx.NewId()
[fdef956]	346	self.edit_model_menu.Append(id, 'Sum\|Multi(p1, p2)',
[f32d144]	347	'Sum of two model functions')
	348	wx.EVT_MENU(owner, id, self.make_sum_model)
[7c8d3093]	349	e_id = wx.NewId()
[f32d144]	350	self.edit_menu = wx.Menu()
[7c8d3093]	351	self.edit_model_menu.AppendMenu(e_id,
[b25caad]	352	'Advanced', self.edit_menu)
	353	self.set_edit_menu_helper(owner, self.edit_custom_model)
	354
	355	d_id = wx.NewId()
[f32d144]	356	self.delete_menu = wx.Menu()
	357	self.edit_model_menu.AppendMenu(d_id,
	358	'Delete', self.delete_menu)
[b25caad]	359	self.set_edit_menu_helper(owner, self.delete_custom_model)
[7c8d3093]	360
[d83549c]	361	def set_edit_menu_helper(self, owner=None, menu=None):
[7c8d3093]	362	"""
	363	help for setting list of the edit model menu labels
	364	"""
[d83549c]	365	if menu == None:
	366	menu = self.edit_custom_model
[5d1c1f4]	367	list_fnames = os.listdir(models.find_plugins_dir())
[d2843a9]	368	list_fnames.sort()
	369	for f_item in list_fnames:
	370	name = os.path.basename(f_item)
[5d1c1f4]	371	toks = os.path.splitext(name)
[f32d144]	372	if toks[-1] == '.py' and not toks[0] == '__init__':
[b25caad]	373	if menu == self.edit_custom_model:
[f32d144]	374	if toks[0] == 'easy_sum_of_p1_p2':
[b25caad]	375	continue
	376	submenu = self.edit_menu
	377	else:
	378	submenu = self.delete_menu
[5d1c1f4]	379	has_file = False
[b25caad]	380	for item in submenu.GetMenuItems():
	381	if name == submenu.GetLabel(item.GetId()):
[5d1c1f4]	382	has_file = True
	383	if not has_file:
	384	id = wx.NewId()
[f32d144]	385	submenu.Append(id, name)
	386	wx.EVT_MENU(owner, id, menu)
[5d1c1f4]	387	has_file = False
	388
[056b569]	389	def put_icon(self, frame):
	390	"""
	391	Put icon in the frame title bar
	392	"""
	393	if hasattr(frame, "IsIconized"):
	394	if not frame.IsIconized():
	395	try:
	396	icon = self.parent.GetIcon()
	397	frame.SetIcon(icon)
	398	except:
[f32d144]	399	pass
	400
[51d47b5]	401	def on_add_sim_page(self, event):
[ed2ea6a]	402	"""
[5062bbf]	403	Create a page to access simultaneous fit option
[ed2ea6a]	404	"""
[fa02d95]	405	id = event.GetId()
[b6a181b]	406	caption = "Const & Simul Fit"
[fa02d95]	407	page = self.sim_page
	408	if id == self.id_batchfit:
[7b1ca97]	409	caption = "Combined Batch"
[fa02d95]	410	page = self.batch_page
	411
	412	def set_focus_page(page):
	413	page.Show(True)
	414	page.Refresh()
	415	page.SetFocus()
[ae84427]	416	#self.parent._mgr.Update()
[fa02d95]	417	msg = "%s already opened\n" % str(page.window_caption)
	418	wx.PostEvent(self.parent, StatusEvent(status=msg))
	419
	420	if page != None:
	421	return set_focus_page(page)
[b6a181b]	422	if caption == "Const & Simul Fit":
[fa02d95]	423	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	424	else:
	425	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
[b28717b]	426
[d89f09b]	427	def help(self, evt):
	428	"""
[f32d144]	429	Show a general help dialog.
[d89f09b]	430	"""
[484faf7]	431	from help_panel import HelpWindow
[f32d144]	432	frame = HelpWindow(None, -1, 'HelpWindow')
[34ffeed]	433	if hasattr(frame, "IsIconized"):
	434	if not frame.IsIconized():
	435	try:
	436	icon = self.parent.GetIcon()
	437	frame.SetIcon(icon)
	438	except:
[f32d144]	439	pass
[2268d10]	440	frame.Show(True)
	441
[6bbeacd4]	442	def get_context_menu(self, plotpanel=None):
[d89f09b]	443	"""
[5062bbf]	444	Get the context menu items available for P(r).them allow fitting option
	445	for Data2D and Data1D only.
	446
	447	:param graph: the Graph object to which we attach the context menu
	448
	449	:return: a list of menu items with call-back function
	450
[f32d144]	451	:note: if Data1D was generated from Theory1D
[5062bbf]	452	the fitting option is not allowed
	453
[d89f09b]	454	"""
[940aca7]	455	self.plot_panel = plotpanel
[6bbeacd4]	456	graph = plotpanel.graph
[484faf7]	457	fit_option = "Select data for fitting"
	458	fit_hint = "Dialog with fitting parameters "
[6bbeacd4]	459
	460	if graph.selected_plottable not in plotpanel.plots:
	461	return []
	462	item = plotpanel.plots[graph.selected_plottable]
[f32d144]	463	if item.__class__.__name__ is "Data2D":
	464	if hasattr(item, "is_data"):
[6bbeacd4]	465	if item.is_data:
	466	return [[fit_option, fit_hint, self._onSelect]]
	467	else:
	468	return []
	469	return [[fit_option, fit_hint, self._onSelect]]
	470	else:
	471
	472	# if is_data is true , this in an actual data loaded
	473	#else it is a data created from a theory model
[f32d144]	474	if hasattr(item, "is_data"):
[6bbeacd4]	475	if item.is_data:
[f32d144]	476	return [[fit_option, fit_hint, self._onSelect]]
[6bbeacd4]	477	else:
[f32d144]	478	return []
[940aca7]	479	return [[fit_option, fit_hint, self._onSelect]]
[f32d144]	480	return []
[d89f09b]	481
	482	def get_panels(self, parent):
	483	"""
[5062bbf]	484	Create and return a list of panel objects
[d89f09b]	485	"""
	486	self.parent = parent
[75fbd17]	487	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
[d89f09b]	488	# Creation of the fit panel
[ae84427]	489	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
	490	self.fit_panel = FitPanel(parent=self.frame, manager=self)
	491	self.frame.set_panel(self.fit_panel)
	492	self._frame_set_helper()
[6bbeacd4]	493	self.on_add_new_page(event=None)
[f93dfcb]	494	#Set the manager for the main panel
[d89f09b]	495	self.fit_panel.set_manager(self)
	496	# List of windows used for the perspective
	497	self.perspective = []
	498	self.perspective.append(self.fit_panel.window_name)
[ed4aef2]	499
	500	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
	501	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
	502	self.perspective.append(self.result_panel.window_name)
[6bbeacd4]	503
[3b19ac9]	504	#index number to create random model name
	505	self.index_model = 0
[f32d144]	506	self.index_theory = 0
[32673ac]	507	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
[848a2ef]	508	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[ae84427]	509	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
[3bf4a032]	510	#Create reader when fitting panel are created
[f32d144]	511	self.state_reader = Reader(self.set_state)
	512	#append that reader to list of available reader
[3bf4a032]	513	loader = Loader()
	514	loader.associate_file_reader(".fitv", self.state_reader)
[f93dfcb]	515	#Send the fitting panel to guiframe
[f32d144]	516	self.mypanels.append(self.fit_panel)
[ed4aef2]	517	self.mypanels.append(self.result_panel)
[568e1a5]	518	return self.mypanels
[232c3db]	519
[90a7bbd]	520	def clear_panel(self):
	521	"""
	522	"""
[81f00d7]	523	self.fit_panel.clear_panel()
[90a7bbd]	524
[1610976]	525	def set_default_perspective(self):
	526	"""
[5062bbf]	527	Call back method that True to notify the parent that the current plug-in
[f32d144]	528	can be set as default perspective.
	529	when returning False, the plug-in is not candidate for an automatic
[5062bbf]	530	default perspective setting
[1610976]	531	"""
	532	return True
[a0da535]	533
[17553ae]	534	def delete_data(self, data):
[8ee56a9]	535	"""
	536	delete the given data from panel
	537	"""
	538	self.fit_panel.delete_data(data)
	539
[e88ebfd]	540	def set_data(self, data_list=None):
[a0da535]	541	"""
	542	receive a list of data to fit
	543	"""
[b2d9826]	544	if data_list is None:
	545	data_list = []
[c26a64b]	546	selected_data_list = []
[cc31608]	547	if self.batch_on:
	548	page = self.add_fit_page(data=data_list)
[c26a64b]	549	else:
[cc31608]	550	if len(data_list) > MAX_NBR_DATA:
	551	from fitting_widgets import DataDialog
	552	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	553	if dlg.ShowModal() == wx.ID_OK:
	554	selected_data_list = dlg.get_data()
	555	dlg.Destroy()
	556
	557	else:
	558	selected_data_list = data_list
	559	try:
[5e48acb]	560	group_id = wx.NewId()
[cc31608]	561	for data in selected_data_list:
[5e48acb]	562	if data is not None:
[33b7954]	563	# 2D has no same group_id
	564	if data.__class__.__name__ == 'Data2D':
	565	group_id = wx.NewId()
[5e48acb]	566	data.group_id = group_id
[14774db]	567	if group_id not in data.list_group_id:
	568	data.list_group_id.append(group_id)
	569	page = self.add_fit_page(data=[data])
[cc31608]	570	except:
	571	msg = "Fitting Set_data: " + str(sys.exc_value)
	572	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
[1b1bbf9]	573
[f32d144]	574	def set_theory(self, theory_list=None):
[e88ebfd]	575	"""
	576	"""
	577	#set the model state for a given theory_state:
	578	for item in theory_list:
	579	try:
	580	_, theory_state = item
	581	self.fit_panel.set_model_state(theory_state)
	582	except:
	583	msg = "Fitting: cannot deal with the theory received"
	584	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
[f32d144]	585	wx.PostEvent(self.parent,
	586	StatusEvent(status=msg, info="error"))
[a0da535]	587
[b63dc6e]	588	def set_state(self, state=None, datainfo=None, format=None):
[f83b94a]	589	"""
[5062bbf]	590	Call-back method for the fit page state reader.
[8897d66]	591	This method is called when a .fitv/.svs file is loaded.
[5062bbf]	592
[8897d66]	593	: param state: PageState object
	594	: param datainfo: data
[f83b94a]	595	"""
[90a7bbd]	596	#state = self.state_reader.get_state()
[b63dc6e]	597	if state != None:
[4bee68d]	598	state = state.clone()
[b63dc6e]	599	# store fitting state in temp_state
[f32d144]	600	self.temp_state.append(state)
[b63dc6e]	601	else:
	602	self.temp_state = []
[ef16f59]	603	# index to start with for a new set_state
	604	self.state_index = 0
[b63dc6e]	605	# state file format
	606	self.sfile_ext = format
[75fbd17]	607
	608	self.on_set_state_helper(event=None)
[ef16f59]	609
[f32d144]	610	def on_set_state_helper(self, event=None):
[4da35bc]	611	"""
[f32d144]	612	Set_state_helper. This actually sets state
[0fd2f27]	613	after plotting data from state file.
[ef16f59]	614
[f32d144]	615	: event: FitStateUpdateEvent called
[0fd2f27]	616	by dataloader.plot_data from guiframe
[4da35bc]	617	"""
[7a07864]	618	if len(self.temp_state) == 0:
[f32d144]	619	if self.state_index == 0 and len(self.mypanels) <= 0 \
	620	and self.sfile_ext == '.svs':
[b63dc6e]	621	self.temp_state = []
	622	self.state_index = 0
[4da35bc]	623	return
[3eb2811]	624
[ef16f59]	625	try:
	626	# Load fitting state
	627	state = self.temp_state[self.state_index]
[3eb2811]	628	#panel state should have model selection to set_state
	629	if state.formfactorcombobox != None:
	630	#set state
[75fbd17]	631	data = self.parent.create_gui_data(state.data)
	632	data.group_id = state.data.group_id
[f32d144]	633	self.parent.add_data(data_list={data.id: data})
[75fbd17]	634	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	635	title=data.title))
[f95301b]	636	#need to be fix later make sure we are sendind guiframe.data
	637	#to panel
	638	state.data = data
[f32d144]	639	page = self.fit_panel.set_state(state)
[3eb2811]	640	else:
	641	#just set data because set_state won't work
[75fbd17]	642	data = self.parent.create_gui_data(state.data)
	643	data.group_id = state.data.group_id
[f32d144]	644	self.parent.add_data(data_list={data.id: data})
[f95301b]	645	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	646	title=data.title))
[cc31608]	647	page = self.add_fit_page([data])
[2dbffcc]	648	caption = page.window_caption
[f32d144]	649	self.store_data(uid=page.uid, data_list=page.get_data_list(),
[2dbffcc]	650	caption=caption)
[f32d144]	651	self.mypanels.append(page)
[3eb2811]	652
[9b18735]	653	# get ready for the next set_state
[ef16f59]	654	self.state_index += 1
[9b18735]	655
[f32d144]	656	#reset state variables to default when all set_state is finished.
[ef16f59]	657	if len(self.temp_state) == self.state_index:
[9b18735]	658
[ef16f59]	659	self.temp_state = []
[b63dc6e]	660	#self.state_index = 0
[ef16f59]	661	# Make sure the user sees the fitting panel after loading
[f32d144]	662	#self.parent.set_perspective(self.perspective)
[75fbd17]	663	self.on_perspective(event=None)
[ef16f59]	664	except:
[f32d144]	665	self.state_index = 0
[8897d66]	666	self.temp_state = []
[ef16f59]	667	raise
[1b14795]	668
	669	def set_param2fit(self, uid, param2fit):
	670	"""
	671	Set the list of param names to fit for fitprobelm
	672	"""
	673	self.page_finder[uid].set_param2fit(param2fit)
[5e48acb]	674
	675	def set_graph_id(self, uid, graph_id):
	676	"""
	677	Set graph_id for fitprobelm
	678	"""
	679	self.page_finder[uid].set_graph_id(graph_id)
	680
	681	def get_graph_id(self, uid):
	682	"""
	683	Set graph_id for fitprobelm
	684	"""
[f32d144]	685	return self.page_finder[uid].get_graph_id()
[5e48acb]	686
[f32d144]	687	def save_fit_state(self, filepath, fitstate):
[f83b94a]	688	"""
[5062bbf]	689	save fit page state into file
[f83b94a]	690	"""
	691	self.state_reader.write(filename=filepath, fitstate=fitstate)
[55bb249c]	692
[f7ef313]	693	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
[55bb249c]	694	"""
	695	Set the fit weights of a given page for all
[f32d144]	696	its data by default. If fid is provide then set the range
[55bb249c]	697	only for the data with fid as id
	698	:param uid: id corresponding to a fit page
	699	:param fid: id corresponding to a fit problem (data, model)
	700	:param weight: current dy data
	701	"""
	702	if uid in self.page_finder.keys():
[f7ef313]	703	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
[55bb249c]	704
[2dbffcc]	705	def set_fit_range(self, uid, qmin, qmax, fid=None):
[ca7a626]	706	"""
[2dbffcc]	707	Set the fitting range of a given page for all
[f32d144]	708	its data by default. If fid is provide then set the range
[2dbffcc]	709	only for the data with fid as id
	710	:param uid: id corresponding to a fit page
	711	:param fid: id corresponding to a fit problem (data, model)
	712	:param qmin: minimum value of the fit range
	713	:param qmax: maximum value of the fit range
[ca7a626]	714	"""
[2dbffcc]	715	if uid in self.page_finder.keys():
[f6933b8]	716	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	717
[f32d144]	718	def schedule_for_fit(self, value=0, uid=None):
[948add7]	719	"""
[5062bbf]	720	Set the fit problem field to 0 or 1 to schedule that problem to fit.
[f32d144]	721	Schedule the specified fitproblem or get the fit problem related to
[5062bbf]	722	the current page and set value.
[f32d144]	723	:param value: integer 0 or 1
[2dbffcc]	724	:param uid: the id related to a page contaning fitting information
	725	"""
[f32d144]	726	if uid in self.page_finder.keys():
[66ff250]	727	self.page_finder[uid].schedule_tofit(value)
[ca7a626]	728
[d89f09b]	729	def get_page_finder(self):
[5062bbf]	730	"""
	731	return self.page_finder used also by simfitpage.py
[f32d144]	732	"""
	733	return self.page_finder
[d89f09b]	734
[f32d144]	735	def set_page_finder(self, modelname, names, values):
[d89f09b]	736	"""
[5062bbf]	737	Used by simfitpage.py to reset a parameter given the string constrainst.
	738
[f32d144]	739	:param modelname: the name ot the model for with the parameter
[0fd2f27]	740	has to reset
[5062bbf]	741	:param value: can be a string in this case.
	742	:param names: the paramter name
[f32d144]	743	"""
[66ff250]	744	sim_page_id = self.sim_page.uid
	745	for uid, value in self.page_finder.iteritems():
[fa02d95]	746	if uid != sim_page_id and uid != self.batch_page.uid:
[6bbeacd4]	747	list = value.get_model()
[f93dfcb]	748	model = list[0]
[6bbeacd4]	749	if model.name == modelname:
	750	value.set_model_param(names, values)
[d89f09b]	751	break
[2db1d66]	752
[f32d144]	753	def split_string(self, item):
[d89f09b]	754	"""
[5062bbf]	755	receive a word containing dot and split it. used to split parameterset
	756	name into model name and parameter name example: ::
	757
[3b19ac9]	758	paramaterset (item) = M1.A
[5062bbf]	759	Will return model_name = M1 , parameter name = A
	760
[d89f09b]	761	"""
[6d8bad4]	762	if item.find(".") >= 0:
[7c8d3093]	763	param_names = re.split("\.", item)
[f32d144]	764	model_name = param_names[0]
[6d91073]	765	##Assume max len is 3; eg., M0.radius.width
	766	if len(param_names) == 3:
[7c8d3093]	767	param_name = param_names[1] + "." + param_names[2]
[6d91073]	768	else:
[f32d144]	769	param_name = param_names[1]
[7c8d3093]	770	return model_name, param_name
[2296316]	771
[6fe5100]	772	def on_bumps_options(self, event=None):
	773	from bumps.gui.fit_dialog import OpenFitOptions
	774	OpenFitOptions()
	775
[66ff250]	776	def stop_fit(self, uid):
[ed2ea6a]	777	"""
[5062bbf]	778	Stop the fit engine
[ed2ea6a]	779	"""
[66ff250]	780	if uid in self.fit_thread_list.keys():
	781	calc_fit = self.fit_thread_list[uid]
	782	if calc_fit is not None and calc_fit.isrunning():
	783	calc_fit.stop()
	784	msg = "Fit stop!"
	785	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[3ddc2c4]	786	del self.fit_thread_list[uid]
[66ff250]	787	#set the fit button label of page when fit stop is trigger from
	788	#simultaneous fit pane
[fa02d95]	789	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	790	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	791	if sim_flag or batch_flag:
[66ff250]	792	for uid, value in self.page_finder.iteritems():
	793	if value.get_scheduled() == 1:
	794	if uid in self.fit_panel.opened_pages.keys():
	795	panel = self.fit_panel.opened_pages[uid]
[fa02d95]	796	panel._on_fit_complete()
[6bbeacd4]	797
[2dbffcc]	798	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	799	enable_smearer=False):
	800	"""
	801	Get a smear object and store it to a fit problem of fid as id. If proper
	802	flag is enable , will plot the theory with smearing information.
	803
	804	:param smearer: smear object to allow smearing data of id fid
	805	:param enable_smearer: Define whether or not all (data, model) contained
	806	in the structure of id uid will be smeared before fitting.
	807	:param qmin: the maximum value of the theory plotting range
	808	:param qmax: the maximum value of the theory plotting range
	809	:param draw: Determine if the theory needs to be plot
[f32d144]	810	"""
[66ff250]	811	if uid not in self.page_finder.keys():
[2dbffcc]	812	return
	813	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	814	self.page_finder[uid].set_smearer(smearer, fid=fid)
[6bbeacd4]	815	if draw:
	816	## draw model 1D with smeared data
[f32d144]	817	data = self.page_finder[uid].get_fit_data(fid=fid)
[2dbffcc]	818	if data is None:
	819	msg = "set_mearer requires at least data.\n"
	820	msg += "Got data = %s .\n" % str(data)
[269df2b]	821	return
	822	#raise ValueError, msg
[2dbffcc]	823	model = self.page_finder[uid].get_model(fid=fid)
[6bbeacd4]	824	if model is None:
	825	return
[2dbffcc]	826	enable1D = issubclass(data.__class__, Data1D)
	827	enable2D = issubclass(data.__class__, Data2D)
[6bbeacd4]	828	## if user has already selected a model to plot
	829	## redraw the model with data smeared
[2dbffcc]	830	smear = self.page_finder[uid].get_smearer(fid=fid)
[342dc442]	831
	832	# compute weight for the current data
	833	weight = self.page_finder[uid].get_weight(fid=fid)
	834
[66ff250]	835	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
[ba1f0b2]	836	enable1D=enable1D, enable2D=enable2D,
[342dc442]	837	qmin=qmin, qmax=qmax, weight=weight)
[f6aee42]	838	self._mac_sleep(0.2)
	839
	840	def _mac_sleep(self, sec=0.2):
[2dbffcc]	841	"""
	842	Give sleep to MAC
	843	"""
[f6aee42]	844	if ON_MAC:
[f32d144]	845	time.sleep(sec)
[2dbffcc]	846
[66ff250]	847	def draw_model(self, model, page_id, data=None, smearer=None,
[67e258c]	848	enable1D=True, enable2D=False,
[5ef55d2]	849	state=None,
[f64a4b7]	850	fid=None,
[fa65e99]	851	toggle_mode_on=False,
[f32d144]	852	qmin=None, qmax=None,
[e3f6ef5]	853	update_chisqr=True, weight=None, source='model'):
[ca7a626]	854	"""
[5062bbf]	855	Draw model.
	856
	857	:param model: the model to draw
	858	:param name: the name of the model to draw
	859	:param data: the data on which the model is based to be drawn
	860	:param description: model's description
	861	:param enable1D: if true enable drawing model 1D
	862	:param enable2D: if true enable drawing model 2D
	863	:param qmin: Range's minimum value to draw model
	864	:param qmax: Range's maximum value to draw model
	865	:param qstep: number of step to divide the x and y-axis
[2296316]	866	:param update_chisqr: update chisqr [bool]
[ed2ea6a]	867
[d89f09b]	868	"""
[62f851f]	869	#self.weight = weight
[f32d144]	870	if issubclass(data.__class__, Data1D) or not enable2D:
[f72333f]	871	## draw model 1D with no loaded data
[f32d144]	872	self._draw_model1D(model=model,
[67e258c]	873	data=data,
[66ff250]	874	page_id=page_id,
[f32d144]	875	enable1D=enable1D,
[67e258c]	876	smearer=smearer,
	877	qmin=qmin,
[f32d144]	878	qmax=qmax,
[f64a4b7]	879	fid=fid,
[62f851f]	880	weight=weight,
[fa65e99]	881	toggle_mode_on=toggle_mode_on,
[5ef55d2]	882	state=state,
[e3f6ef5]	883	update_chisqr=update_chisqr,
	884	source=source)
[f32d144]	885	else:
[f72333f]	886	## draw model 2D with no initial data
[ba1f0b2]	887	self._draw_model2D(model=model,
[66ff250]	888	page_id=page_id,
[67e258c]	889	data=data,
	890	enable2D=enable2D,
	891	smearer=smearer,
	892	qmin=qmin,
	893	qmax=qmax,
[f64a4b7]	894	fid=fid,
[d682c92]	895	weight=weight,
[5ef55d2]	896	state=state,
[fa65e99]	897	toggle_mode_on=toggle_mode_on,
[e3f6ef5]	898	update_chisqr=update_chisqr,
	899	source=source)
[2db1d66]	900
[922497f]	901	def onFit(self, uid):
[ca7a626]	902	"""
[2dbffcc]	903	Get series of data, model, associates parameters and range and send then
[f32d144]	904	to series of fit engines. Fit data and model, display result to
	905	corresponding panels.
[2dbffcc]	906	:param uid: id related to the panel currently calling this fit function.
[ca7a626]	907	"""
[233c121]	908	if uid is None: raise RuntimeError("no page to fit") # Should never happen
	909
	910	sim_page_uid = getattr(self.sim_page, 'uid', None)
	911	batch_page_uid = getattr(self.batch_page, 'uid', None)
	912
	913	if uid == sim_page_uid:
	914	fit_type = 'simultaneous'
	915	elif uid == batch_page_uid:
	916	fit_type = 'combined_batch'
[ca7a626]	917	else:
[233c121]	918	fit_type = 'single'
	919
[f32d144]	920	fitter_list = []
	921	sim_fitter = None
[233c121]	922	if fit_type == 'simultaneous':
[f32d144]	923	#simulatanous fit only one engine need to be created
	924	sim_fitter = Fit(self._fit_engine)
[fa02d95]	925	sim_fitter.fitter_id = self.sim_page.uid
[f32d144]	926	fitter_list.append(sim_fitter)
[233c121]	927
[67e258c]	928	self.current_pg = None
[66ff250]	929	list_page_id = []
[922497f]	930	fit_id = 0
[233c121]	931	for page_id, page_info in self.page_finder.iteritems():
[dc613d6]	932	# For simulfit (uid give with None), do for-loop
	933	# if uid is specified (singlefit), do it only on the page.
[233c121]	934	if page_id in (sim_page_uid, batch_page_uid): continue
	935	if fit_type == "single" and page_id != uid: continue
	936
[d89f09b]	937	try:
[233c121]	938	if page_info.get_scheduled() == 1:
	939	page_info.nbr_residuals_computed = 0
[66ff250]	940	page = self.fit_panel.get_page_by_id(page_id)
[f32d144]	941	self.set_fit_weight(uid=page.uid,
[7ee79cb]	942	flag=page.get_weight_flag(),
[f32d144]	943	is2d=page._is_2D())
[233c121]	944	if not page.param_toFit:
	945	msg = "No fitting parameters for %s"%page.window_caption
	946	wx.PostEvent(page.parent.parent,
	947	StatusEvent(status=msg, info="error",
	948	type="stop"))
	949	return False
	950	if not page._update_paramv_on_fit():
[31469d50]	951	msg = "Fitting range or parameter values are"
[f32d144]	952	msg += " invalid in %s" % \
[31469d50]	953	page.window_caption
[f32d144]	954	wx.PostEvent(page.parent.parent,
	955	StatusEvent(status=msg, info="error",
[31469d50]	956	type="stop"))
[233c121]	957	return False
	958
	959	pars = [str(element[1]) for element in page.param_toFit]
	960	fitproblem_list = page_info.values()
[7bd6cfae]	961	for fitproblem in fitproblem_list:
[922497f]	962	if sim_fitter is None:
[f32d144]	963	fitter = Fit(self._fit_engine)
[fa02d95]	964	fitter.fitter_id = page_id
[f32d144]	965	fitter_list.append(fitter)
[922497f]	966	else:
	967	fitter = sim_fitter
[233c121]	968	self._add_problem_to_fit(fitproblem=fitproblem,
[f32d144]	969	pars=pars,
	970	fitter=fitter,
[233c121]	971	fit_id=fit_id)
[922497f]	972	fit_id += 1
[66ff250]	973	list_page_id.append(page_id)
[233c121]	974	page_info.clear_model_param()
[986da97]	975	except KeyboardInterrupt:
	976	msg = "Fitting terminated"
	977	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
	978	type="stop"))
[233c121]	979	return True
[d89f09b]	980	except:
[233c121]	981	msg = "Fitting error: %s" % str(sys.exc_value)
[ba1f0b2]	982	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
	983	type="stop"))
[233c121]	984	return False
[e54d2c32]	985	## If a thread is already started, stop it
	986	#if self.calc_fit!= None and self.calc_fit.isrunning():
	987	# self.calc_fit.stop()
[a2cb1f9]	988	msg = "Fitting is in progress..."
[f32d144]	989	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
[a2cb1f9]	990
[386ffe1]	991	#Handler used for fit engine displayed message
[66ff250]	992	handler = ConsoleUpdate(parent=self.parent,
	993	manager=self,
	994	improvement_delta=0.1)
[f6aee42]	995	self._mac_sleep(0.2)
[f32d144]	996
[05fb6d12]	997	# batch fit
[233c121]	998	batch_inputs = {}
	999	batch_outputs = {}
[bf5e985]	1000	if fit_type == "simultaneous":
	1001	page = self.sim_page
	1002	elif fit_type == "combined_batch":
	1003	page = self.batch_page
	1004	else:
	1005	page = self.fit_panel.get_page_by_id(uid)
[233c121]	1006	if page.batch_on:
[f32d144]	1007	calc_fit = FitThread(handler=handler,
	1008	fn=fitter_list,
	1009	pars=pars,
	1010	batch_inputs=batch_inputs,
	1011	batch_outputs=batch_outputs,
	1012	page_id=list_page_id,
	1013	completefn=self._batch_fit_complete,
	1014	reset_flag=self.batch_reset_flag)
[e54d2c32]	1015	else:
	1016	## Perform more than 1 fit at the time
[58e0c83]	1017	calc_fit = FitThread(handler=handler,
[cc31608]	1018	fn=fitter_list,
[33dd2e5]	1019	batch_inputs=batch_inputs,
	1020	batch_outputs=batch_outputs,
[66ff250]	1021	page_id=list_page_id,
[2296316]	1022	updatefn=handler.update_fit,
[386ffe1]	1023	completefn=self._fit_completed)
[233c121]	1024	#self.fit_thread_list[current_page_id] = calc_fit
	1025	self.fit_thread_list[uid] = calc_fit
[a2cb1f9]	1026	calc_fit.queue()
[233c121]	1027	calc_fit.ready(2.5)
[cc31608]	1028	msg = "Fitting is in progress..."
[f32d144]	1029	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
[cc31608]	1030
[233c121]	1031	return True
	1032
[2dbffcc]	1033	def remove_plot(self, uid, fid=None, theory=False):
[2f189dc]	1034	"""
[5062bbf]	1035	remove model plot when a fit page is closed
[2dbffcc]	1036	:param uid: the id related to the fitpage to close
	1037	:param fid: the id of the fitproblem(data, model, range,etc)
[2f189dc]	1038	"""
[2dbffcc]	1039	if uid not in self.page_finder.keys():
	1040	return
	1041	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1042	for fitproblem in fitproblemList:
	1043	data = fitproblem.get_fit_data()
	1044	model = fitproblem.get_model()
	1045	plot_id = None
	1046	if model is not None:
[6d8bad4]	1047	plot_id = data.id + model.name
[2dbffcc]	1048	if theory:
[e1bc51d]	1049	plot_id = data.id + model.name
[2dbffcc]	1050	group_id = data.group_id
	1051	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
[f32d144]	1052	group_id=group_id,
	1053	action='remove'))
[edcbd467]	1054
[2dbffcc]	1055	def store_data(self, uid, data_list=None, caption=None):
[31b0c47]	1056	"""
[2dbffcc]	1057	Recieve a list of data and store them ans well as a caption of
	1058	the fit page where they come from.
	1059	:param uid: if related to a fit page
	1060	:param data_list: list of data to fit
	1061	:param caption: caption of the window related to these data
[31b0c47]	1062	"""
[cc31608]	1063	if data_list is None:
	1064	data_list = []
[f7ef313]	1065
[2dbffcc]	1066	self.page_finder[uid].set_fit_data(data=data_list)
	1067	if caption is not None:
	1068	self.page_finder[uid].set_fit_tab_caption(caption=caption)
[f7ef313]	1069
[6bbeacd4]	1070	def on_add_new_page(self, event=None):
[edcbd467]	1071	"""
[6bbeacd4]	1072	ask fit panel to create a new empty page
[edcbd467]	1073	"""
	1074	try:
[6bbeacd4]	1075	page = self.fit_panel.add_empty_page()
[6450d8c]	1076	# add data associated to the page created
[f32d144]	1077	if page != None:
[f304194]	1078	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
[31b0c47]	1079	info="info"))
[edcbd467]	1080	else:
[f304194]	1081	msg = "Page was already Created"
[a0da535]	1082	wx.PostEvent(self.parent, StatusEvent(status=msg,
	1083	info="warning"))
[edcbd467]	1084	except:
[2dbffcc]	1085	msg = "Creating Fit page: %s"%sys.exc_value
	1086	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
[6bbeacd4]	1087
	1088	def add_fit_page(self, data):
	1089	"""
	1090	given a data, ask to the fitting panel to create a new fitting page,
	1091	get this page and store it into the page_finder of this plug-in
[2dbffcc]	1092	:param data: is a list of data
[6bbeacd4]	1093	"""
	1094	page = self.fit_panel.set_data(data)
[7f76f89]	1095	# page could be None when loading state files
	1096	if page == None:
	1097	return page
[6bbeacd4]	1098	#append Data1D to the panel containing its theory
	1099	#if theory already plotted
[66ff250]	1100	if page.uid in self.page_finder:
[cc31608]	1101	data = page.get_data()
[2dbffcc]	1102	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
[6bbeacd4]	1103	if issubclass(data.__class__, Data2D):
[e88ebfd]	1104	data.group_id = wx.NewId()
[a5701e6]	1105	if theory_data is not None:
[66ff250]	1106	group_id = str(page.uid) + " Model1D"
[f32d144]	1107	wx.PostEvent(self.parent,
[a5701e6]	1108	NewPlotEvent(group_id=group_id,
	1109	action="delete"))
[0fd2f27]	1110	self.parent.update_data(prev_data=theory_data,
[f32d144]	1111	new_data=data)
[6bbeacd4]	1112	else:
	1113	if theory_data is not None:
[66ff250]	1114	group_id = str(page.uid) + " Model2D"
[e88ebfd]	1115	data.group_id = theory_data.group_id
[a5701e6]	1116	wx.PostEvent(self.parent,
	1117	NewPlotEvent(group_id=group_id,
	1118	action="delete"))
[0fd2f27]	1119	self.parent.update_data(prev_data=theory_data,
[f32d144]	1120	new_data=data)
	1121	self.store_data(uid=page.uid, data_list=page.get_data_list(),
[2dbffcc]	1122	caption=page.window_caption)
[33dd2e5]	1123	if self.sim_page is not None and not self.batch_on:
[6bbeacd4]	1124	self.sim_page.draw_page()
[fa02d95]	1125	if self.batch_page is not None and self.batch_on:
	1126	self.batch_page.draw_page()
	1127
[1b1bbf9]	1128	return page
[6bbeacd4]	1129
[848a2ef]	1130	def _onEVT_SLICER_PANEL(self, event):
	1131	"""
[f32d144]	1132	receive and event telling to update a panel with a name starting with
	1133	event.panel_name. this method update slicer panel
[2e08a9f]	1134	for a given interactor.
[5062bbf]	1135
[f32d144]	1136	:param event: contains type of slicer , paramaters for updating
[2e08a9f]	1137	the panel and panel_name to find the slicer 's panel concerned.
[848a2ef]	1138	"""
[ae84427]	1139	event.panel_name
[848a2ef]	1140	for item in self.parent.panels:
[0fd2f27]	1141	name = event.panel_name
	1142	if self.parent.panels[item].window_caption.startswith(name):
[848a2ef]	1143	self.parent.panels[item].set_slicer(event.type, event.params)
[df4c3ad]	1144
[ae84427]	1145	#self.parent._mgr.Update()
[b324aa9]	1146
[f32d144]	1147	def _closed_fitpage(self, event):
[848a2ef]	1148	"""
[f32d144]	1149	request fitpanel to close a given page when its unique data is removed
[5062bbf]	1150	from the plot. close fitpage only when the a loaded data is removed
[f32d144]	1151	"""
[784e2fa]	1152	if event is None or event.data is None:
	1153	return
[f32d144]	1154	if hasattr(event.data, "is_data"):
[a0da535]	1155	if not event.data.is_data or \
[66ff250]	1156	event.data.__class__.__name__ == "Data1D":
[f32d144]	1157	self.fit_panel.close_page_with_data(event.data)
[2dbffcc]	1158
[dc613d6]	1159	def _reset_schedule_problem(self, value=0, uid=None):
[6f023e8]	1160	"""
[5062bbf]	1161	unschedule or schedule all fitproblem to be fit
[6f023e8]	1162	"""
[dc613d6]	1163	# case that uid is not specified
	1164	if uid == None:
	1165	for page_id in self.page_finder.keys():
	1166	self.page_finder[page_id].schedule_tofit(value)
	1167	# when uid is given
	1168	else:
[2dbffcc]	1169	if uid in self.page_finder.keys():
	1170	self.page_finder[uid].schedule_tofit(value)
[dc613d6]	1171
[233c121]	1172	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
[2140e68]	1173	"""
[2dbffcc]	1174	Create and set fit engine with series of data and model
	1175	:param pars: list of fittable parameters
	1176	:param fitter_list: list of fit engine
[f32d144]	1177	:param value: structure storing data mapped to their model, range etc.
[2140e68]	1178	"""
[922497f]	1179	data = fitproblem.get_fit_data()
	1180	model = fitproblem.get_model()
	1181	smearer = fitproblem.get_smearer()
	1182	qmin, qmax = fitproblem.get_range()
[29a4024]	1183
[922497f]	1184	#Extra list of parameters and their constraints
	1185	listOfConstraint = []
	1186	param = fitproblem.get_model_param()
	1187	if len(param) > 0:
	1188	for item in param:
	1189	## check if constraint
	1190	if item[0] != None and item[1] != None:
[f32d144]	1191	listOfConstraint.append((item[0], item[1]))
	1192	new_model = model
[41661a0]	1193	fitter.set_model(new_model, fit_id, pars, data=data,
	1194	constraints=listOfConstraint)
[f32d144]	1195	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
[922497f]	1196	qmax=qmax)
	1197	fitter.select_problem_for_fit(id=fit_id, value=1)
[7bd6cfae]	1198
[f32d144]	1199	def _onSelect(self, event):
	1200	"""
	1201	when Select data to fit a new page is created .Its reference is
[5062bbf]	1202	added to self.page_finder
[d89f09b]	1203	"""
[940aca7]	1204	panel = self.plot_panel
	1205	if panel == None:
	1206	raise ValueError, "Fitting:_onSelect: NonType panel"
[67e258c]	1207	Plugin.on_perspective(self, event=event)
[940aca7]	1208	self.select_data(panel)
[5e48acb]	1209
	1210	def select_data(self, panel):
	1211	"""
	1212	"""
[940aca7]	1213	for plottable in panel.graph.plottables:
[2fff4db]	1214	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
[940aca7]	1215	data_id = panel.graph.selected_plottable
	1216	if plottable == panel.plots[data_id]:
[6bbeacd4]	1217	data = plottable
[cc31608]	1218	self.add_fit_page(data=[data])
[edcbd467]	1219	return
[c77d859]	1220	else:
[6bbeacd4]	1221	data = plottable
[cc31608]	1222	self.add_fit_page(data=[data])
[1c1436d]	1223
[66ff250]	1224	def update_fit(self, result=None, msg=""):
	1225	"""
	1226	"""
	1227	print "update_fit result", result
	1228
[f32d144]	1229	def _batch_fit_complete(self, result, pars, page_id,
[33dd2e5]	1230	batch_outputs, batch_inputs, elapsed=None):
[cc31608]	1231	"""
[f32d144]	1232	Display fit result in batch
[2dbffcc]	1233	:param result: list of objects received fromt fit engines
	1234	:param pars: list of fitted parameters names
	1235	:param page_id: list of page ids which called fit function
	1236	:param elapsed: time spent at the fitting level
[cc31608]	1237	"""
[92a5ac92]	1238	self._mac_sleep(0.2)
	1239	uid = page_id[0]
	1240	if uid in self.fit_thread_list.keys():
[f32d144]	1241	del self.fit_thread_list[uid]
[92a5ac92]	1242
[cc31608]	1243	self._update_fit_button(page_id)
[2bb37c3]	1244	t1 = time.time()
	1245	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1246	msg = "Fit completed on %s \n" % str_time
	1247	msg += "Duration time: %s s.\n" % str(elapsed)
[cc31608]	1248	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
[f32d144]	1249	type="stop"))
[fa02d95]	1250
[33dd2e5]	1251	if batch_outputs is None:
	1252	batch_outputs = {}
[fa02d95]	1253
	1254	# format batch_outputs
	1255	batch_outputs["Chi2"] = []
	1256	#Don't like these loops
[f32d144]	1257	# Need to create dictionary of all fitted parameters
[fa02d95]	1258	# since the number of parameters can differ between each fit result
	1259	for list_res in result:
	1260	for res in list_res:
	1261	model, data = res.inputs[0]
	1262	if model is not None and hasattr(model, "model"):
	1263	model = model.model
	1264	#get all fittable parameters of the current model
	1265	for param in model.getParamList():
	1266	if param not in batch_outputs.keys():
	1267	batch_outputs[param] = []
	1268	for param in model.getDispParamList():
	1269	if not model.is_fittable(param) and \
	1270	param in batch_outputs.keys():
	1271	del batch_outputs[param]
	1272	# Add fitted parameters and their error
	1273	for param in res.param_list:
	1274	if param not in batch_outputs.keys():
	1275	batch_outputs[param] = []
	1276	err_param = "error on %s" % str(param)
	1277	if err_param not in batch_inputs.keys():
	1278	batch_inputs[err_param] = []
	1279	msg = ""
	1280	for list_res in result:
	1281	for res in list_res:
	1282	pid = res.fitter_id
	1283	model, data = res.inputs[0]
	1284	correct_result = False
	1285	if model is not None and hasattr(model, "model"):
	1286	model = model.model
[fd5ac0d]	1287	if data is not None and hasattr(data, "sas_data"):
	1288	data = data.sas_data
[fa02d95]	1289
	1290	is_data2d = issubclass(data.__class__, Data2D)
	1291	#check consistency of arrays
	1292	if not is_data2d:
	1293	if len(res.theory) == len(res.index[res.index]) and \
	1294	len(res.index) == len(data.y):
[46c4ccb]	1295	correct_result = True
[fa02d95]	1296	else:
	1297	copy_data = deepcopy(data)
	1298	new_theory = copy_data.data
	1299	new_theory[res.index] = res.theory
[f32d144]	1300	new_theory[res.index == False] = numpy.nan
[fa02d95]	1301	correct_result = True
	1302	#get all fittable parameters of the current model
	1303	param_list = model.getParamList()
	1304	for param in model.getDispParamList():
	1305	if not model.is_fittable(param) and \
	1306	param in param_list:
[f32d144]	1307	param_list.remove(param)
[fa02d95]	1308	if not correct_result or res.fitness is None or \
	1309	not numpy.isfinite(res.fitness) or \
	1310	numpy.any(res.pvec == None) or not \
	1311	numpy.all(numpy.isfinite(res.pvec)):
	1312	data_name = str(None)
	1313	if data is not None:
	1314	data_name = str(data.name)
	1315	model_name = str(None)
	1316	if model is not None:
	1317	model_name = str(model.name)
[f32d144]	1318	msg += "Data %s and Model %s did not fit.\n" % (data_name,
[fa02d95]	1319	model_name)
	1320	ERROR = numpy.NAN
	1321	cell = BatchCell()
	1322	cell.label = res.fitness
	1323	cell.value = res.fitness
	1324	batch_outputs["Chi2"].append(ERROR)
	1325	for param in param_list:
	1326	# save value of fixed parameters
	1327	if param not in res.param_list:
	1328	batch_outputs[str(param)].append(ERROR)
	1329	else:
[4a52223]	1330	#save only fitted values
[fa02d95]	1331	batch_outputs[param].append(ERROR)
	1332	batch_inputs["error on %s" % str(param)].append(ERROR)
	1333	else:
[f32d144]	1334	# ToDo: Why sometimes res.pvec comes with numpy.float64?
[26e1001]	1335	# Need to fix it within ScipyEngine
[f32d144]	1336	if res.pvec.__class__ == numpy.float64:
[26e1001]	1337	res.pvec = [res.pvec]
	1338
[fa02d95]	1339	cell = BatchCell()
	1340	cell.label = res.fitness
	1341	cell.value = res.fitness
	1342	batch_outputs["Chi2"].append(cell)
	1343	# add parameters to batch_results
	1344	for param in param_list:
	1345	# save value of fixed parameters
	1346	if param not in res.param_list:
	1347	batch_outputs[str(param)].append(model.getParam(param))
	1348	else:
	1349	index = res.param_list.index(param)
[47d9be79]	1350	#save only fitted values
[fa02d95]	1351	batch_outputs[param].append(res.pvec[index])
	1352	if res.stderr is not None and \
	1353	len(res.stderr) == len(res.param_list):
[15f68ce]	1354	item = res.stderr[index]
[fa02d95]	1355	batch_inputs["error on %s" % param].append(item)
[356d2d3]	1356	else:
	1357	batch_inputs["error on %s" % param].append('-')
[fa02d95]	1358	model.setParam(param, res.pvec[index])
[f32d144]	1359	#fill the batch result with emtpy value if not in the current
[fa02d95]	1360	#model
	1361	EMPTY = "-"
	1362	for key in batch_outputs.keys():
	1363	if key not in param_list and key not in ["Chi2", "Data"]:
	1364	batch_outputs[key].append(EMPTY)
	1365
	1366	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
[f32d144]	1367	batch_outputs=batch_outputs)
[fa02d95]	1368
	1369	cpage = self.fit_panel.get_page_by_id(pid)
	1370	cpage._on_fit_complete()
	1371	self.page_finder[pid][data.id].set_result(res)
	1372	fitproblem = self.page_finder[pid][data.id]
	1373	qmin, qmax = fitproblem.get_range()
[a5f6748]	1374	plot_result = False
	1375	if correct_result:
[fa02d95]	1376	if not is_data2d:
[7619f50]	1377	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
[f32d144]	1378	elapsed=None,
	1379	index=res.index, model=model,
	1380	weight=None, fid=data.id,
	1381	toggle_mode_on=False, state=None,
	1382	data=data, update_chisqr=False,
	1383	source='fit', plot_result=plot_result)
[fa02d95]	1384	else:
	1385	self._complete2D(image=new_theory, data=data,
[f32d144]	1386	model=model,
	1387	page_id=pid, elapsed=None,
	1388	index=res.index,
	1389	qmin=qmin,
	1390	qmax=qmax, fid=data.id, weight=None,
	1391	toggle_mode_on=False, state=None,
	1392	update_chisqr=False,
	1393	source='fit', plot_result=plot_result)
	1394	self.on_set_batch_result(page_id=pid,
	1395	fid=data.id,
	1396	batch_outputs=batch_outputs,
[fa02d95]	1397	batch_inputs=batch_inputs)
[4a52223]	1398
[986da97]	1399	wx.PostEvent(self.parent, StatusEvent(status=msg, error="info",
[f32d144]	1400	type="stop"))
[1ac202f]	1401	# Remove parameters that are not shown
	1402	cpage = self.fit_panel.get_page_by_id(uid)
	1403	tbatch_outputs = {}
	1404	shownkeystr = cpage.get_copy_params()
	1405	for key in batch_outputs.keys():
[f32d144]	1406	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
[1ac202f]	1407	tbatch_outputs[key] = batch_outputs[key]
	1408
[f32d144]	1409	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1410	batch_inputs, self.sub_menu)
[92a5ac92]	1411
[f64a4b7]	1412	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1413	"""
	1414	"""
[f32d144]	1415	pid = page_id
[f64a4b7]	1416	if fid not in self.page_finder[pid]:
	1417	return
	1418	fitproblem = self.page_finder[pid][fid]
	1419	index = self.page_finder[pid].nbr_residuals_computed - 1
[f32d144]	1420	residuals = fitproblem.get_residuals()
[f64a4b7]	1421	theory_data = fitproblem.get_theory_data()
	1422	data = fitproblem.get_fit_data()
	1423	model = fitproblem.get_model()
	1424	#fill batch result information
	1425	if "Data" not in batch_outputs.keys():
	1426	batch_outputs["Data"] = []
[79492222]	1427	from sas.guiframe.data_processor import BatchCell
[ec9a635]	1428	cell = BatchCell()
	1429	cell.label = data.name
	1430	cell.value = index
[6b3edc1]	1431
[ec9a635]	1432	if theory_data != None:
[6b3edc1]	1433	#Suucessful fit
	1434	theory_data.id = wx.NewId()
[b5fe787]	1435	theory_data.name = model.name + "[%s]" % str(data.name)
[e80e704]	1436	if issubclass(theory_data.__class__, Data2D):
	1437	group_id = wx.NewId()
	1438	theory_data.group_id = group_id
	1439	if group_id not in theory_data.list_group_id:
	1440	theory_data.list_group_id.append(group_id)
	1441
[ec9a635]	1442	try:
	1443	# associate residuals plot
[e80e704]	1444	if issubclass(residuals.__class__, Data2D):
	1445	group_id = wx.NewId()
	1446	residuals.group_id = group_id
	1447	if group_id not in residuals.list_group_id:
	1448	residuals.list_group_id.append(group_id)
[ec9a635]	1449	batch_outputs["Chi2"][index].object = [residuals]
	1450	except:
	1451	pass
	1452
	1453	cell.object = [data, theory_data]
	1454	batch_outputs["Data"].append(cell)
	1455	for key, value in data.meta_data.iteritems():
	1456	if key not in batch_inputs.keys():
	1457	batch_inputs[key] = []
[98fdccd]	1458	#if key.lower().strip() != "loader":
	1459	batch_inputs[key].append(value)
[ec9a635]	1460	param = "temperature"
	1461	if hasattr(data.sample, param):
	1462	if param not in batch_inputs.keys():
[f32d144]	1463	batch_inputs[param] = []
[ec9a635]	1464	batch_inputs[param].append(data.sample.temperature)
	1465
[6a4002d]	1466	def _fit_completed(self, result, page_id, batch_outputs,
[f32d144]	1467	batch_inputs=None, pars=None, elapsed=None):
[c77d859]	1468	"""
[2dbffcc]	1469	Display result of the fit on related panel(s).
	1470	:param result: list of object generated when fit ends
	1471	:param pars: list of names of parameters fitted
	1472	:param page_id: list of page ids which called fit function
	1473	:param elapsed: time spent at the fitting level
[c77d859]	1474	"""
[2bb37c3]	1475	t1 = time.time()
	1476	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1477	msg = "Fit completed on %s \n" % str_time
	1478	msg += "Duration time: %s s.\n" % str(elapsed)
	1479	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
	1480	type="stop"))
[ed4aef2]	1481	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
[2bb37c3]	1482	self._update_fit_button(page_id)
[922497f]	1483	result = result[0]
[dc613d6]	1484	self.fit_thread_list = {}
[66ff250]	1485	if page_id is None:
	1486	page_id = []
[f32d144]	1487	## fit more than 1 model at the same time
	1488	self._mac_sleep(0.2)
[ca7a626]	1489	try:
[6a4002d]	1490	index = 0
	1491	for uid in page_id:
	1492	res = result[index]
[7643ba2]	1493	if res.fitness is None or \
[6a4002d]	1494	not numpy.isfinite(res.fitness) or \
	1495	numpy.any(res.pvec == None) or \
	1496	not numpy.all(numpy.isfinite(res.pvec)):
	1497	msg = "Fitting did not converge!!!"
[f32d144]	1498	wx.PostEvent(self.parent,
	1499	StatusEvent(status=msg,
[6a4002d]	1500	info="warning",
	1501	type="stop"))
	1502	self._update_fit_button(page_id)
	1503	else:
[0438933]	1504	#set the panel when fit result are float not list
[f32d144]	1505	if res.pvec.__class__ == numpy.float64:
[0438933]	1506	pvec = [res.pvec]
	1507	else:
	1508	pvec = res.pvec
[f32d144]	1509	if res.stderr.__class__ == numpy.float64:
[0438933]	1510	stderr = [res.stderr]
	1511	else:
	1512	stderr = res.stderr
[7643ba2]	1513	cpage = self.fit_panel.get_page_by_id(uid)
[f32d144]	1514	# Make sure we got all results
[7643ba2]	1515	#(CallAfter is important to MAC)
[8b1d759]	1516	try:
	1517	#if res != None:
[f32d144]	1518	wx.CallAfter(cpage.onsetValues, res.fitness,
	1519	res.param_list,
[8b1d759]	1520	pvec, stderr)
	1521	index += 1
	1522	wx.CallAfter(cpage._on_fit_complete)
[986da97]	1523	except KeyboardInterrupt:
	1524	msg = "Singular point: Fitting Stoped."
	1525	wx.PostEvent(self.parent, StatusEvent(status=msg,
	1526	info="info",
	1527	type="stop"))
[8b1d759]	1528	except:
[2d0756a5]	1529	msg = "Singular point: Fitting Error occurred."
[f32d144]	1530	wx.PostEvent(self.parent, StatusEvent(status=msg,
	1531	info="error",
	1532	type="stop"))
[8b1d759]	1533
[6a4002d]	1534	except:
[2d9c7266]	1535	msg = "Fit completed but Following"
	1536	msg += " warning occurred: %s" % sys.exc_value
	1537	wx.PostEvent(self.parent, StatusEvent(status=msg, info="warning",
[2296316]	1538	type="stop"))
[6a4002d]	1539
[12cd4ec]	1540	def _update_fit_button(self, page_id):
	1541	"""
	1542	Update Fit button when fit stopped
	1543
	1544	: parameter page_id: fitpage where the button is
	1545	"""
[37290c4]	1546	if page_id.__class__.__name__ != 'list':
	1547	page_id = [page_id]
[f32d144]	1548	for uid in page_id:
[12cd4ec]	1549	page = self.fit_panel.get_page_by_id(uid)
	1550	page._on_fit_complete()
	1551
[c77d859]	1552	def _on_show_panel(self, event):
[5062bbf]	1553	"""
	1554	"""
	1555	pass
[da6fd1a]	1556
	1557	def on_reset_batch_flag(self, event):
	1558	"""
	1559	Set batch_reset_flag
	1560	"""
	1561	event.Skip()
[dafc36f]	1562	if self.menu1 == None:
	1563	return
[da6fd1a]	1564	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1565	flag = menu_item.IsChecked()
	1566	if not flag:
	1567	menu_item.Check(False)
	1568	self.batch_reset_flag = True
	1569	else:
	1570	menu_item.Check(True)
	1571	self.batch_reset_flag = False
[5062bbf]	1572
[da6fd1a]	1573	## post a message to status bar
	1574	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
[f32d144]	1575	wx.PostEvent(self.parent,
[da6fd1a]	1576	StatusEvent(status=msg))
	1577
[386ffe1]	1578
[c77d859]	1579	def _on_slicer_event(self, event):
	1580	"""
[f32d144]	1581	Receive a panel as event and send it to guiframe
[5062bbf]	1582
	1583	:param event: event containing a panel
	1584
[c77d859]	1585	"""
[5062bbf]	1586	if event.panel is not None:
[c77d859]	1587	new_panel = event.panel
[c3435b7f]	1588	self.slicer_panels.append(event.panel)
[c77d859]	1589	# Set group ID if available
[ae84427]	1590	event_id = self.parent.popup_panel(event.panel)
	1591	event.panel.uid = event_id
	1592	self.mypanels.append(event.panel)
[5062bbf]	1593
[848a2ef]	1594	def _onclearslicer(self, event):
	1595	"""
[5062bbf]	1596	Clear the boxslicer when close the panel associate with this slicer
[848a2ef]	1597	"""
[ae84427]	1598	name = event.GetEventObject().frame.GetTitle()
[c3435b7f]	1599	for panel in self.slicer_panels:
[f32d144]	1600	if panel.window_caption == name:
[c3435b7f]	1601
[df4c3ad]	1602	for item in self.parent.panels:
[2dbffcc]	1603	if hasattr(self.parent.panels[item], "uid"):
[f32d144]	1604	if self.parent.panels[item].uid == panel.base.uid:
[df4c3ad]	1605	self.parent.panels[item].onClearSlicer(event)
[ae84427]	1606	#self.parent._mgr.Update()
[f32d144]	1607	break
[c3435b7f]	1608	break
[5062bbf]	1609
[c77d859]	1610	def _on_model_panel(self, evt):
	1611	"""
[5062bbf]	1612	react to model selection on any combo box or model menu.plot the model
	1613
	1614	:param evt: wx.combobox event
	1615
[c77d859]	1616	"""
	1617	model = evt.model
[f32d144]	1618	uid = evt.uid
[6bbeacd4]	1619	qmin = evt.qmin
	1620	qmax = evt.qmax
[2dbffcc]	1621	caption = evt.caption
	1622	enable_smearer = evt.enable_smearer
[9237df4]	1623	if model == None:
[c77d859]	1624	return
[2dbffcc]	1625	if uid not in self.page_finder.keys():
	1626	return
[6bbeacd4]	1627	# save the name containing the data name with the appropriate model
[66ff250]	1628	self.page_finder[uid].set_model(model)
[2dbffcc]	1629	self.page_finder[uid].enable_smearing(enable_smearer)
[66ff250]	1630	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
[2dbffcc]	1631	self.page_finder[uid].set_fit_tab_caption(caption=caption)
[33dd2e5]	1632	if self.sim_page is not None and not self.batch_on:
[6bbeacd4]	1633	self.sim_page.draw_page()
[fa02d95]	1634	if self.batch_page is not None and self.batch_on:
	1635	self.batch_page.draw_page()
[5062bbf]	1636
[2dbffcc]	1637	def _update1D(self, x, output):
[bb18ef1]	1638	"""
[5062bbf]	1639	Update the output of plotting model 1D
[bb18ef1]	1640	"""
[58e0c83]	1641	msg = "Plot updating ... "
[f32d144]	1642	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
[e575db9]	1643
[ad3fa1e]	1644	def _complete1D(self, x, y, page_id, elapsed, index, model,
[f64a4b7]	1645	weight=None, fid=None,
[f32d144]	1646	toggle_mode_on=False, state=None,
	1647	data=None, update_chisqr=True,
[a5f6748]	1648	source='model', plot_result=True):
[c77d859]	1649	"""
[5062bbf]	1650	Complete plotting 1D data
[f32d144]	1651	"""
[c77d859]	1652	try:
[1ec979d]	1653	numpy.nan_to_num(y)
	1654
[6bbeacd4]	1655	new_plot = Data1D(x=x, y=y)
[dce84c0]	1656	new_plot.is_data = False
[55d2f7e]	1657	new_plot.dy = numpy.zeros(len(y))
[6bbeacd4]	1658	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
[f32d144]	1659	_yaxis, _yunit = data.get_yaxis()
	1660	_xaxis, _xunit = data.get_xaxis()
[2dbffcc]	1661	new_plot.title = data.name
[5e48acb]	1662
[f32d144]	1663	new_plot.group_id = data.group_id
[5e48acb]	1664	if new_plot.group_id == None:
	1665	new_plot.group_id = data.group_id
[657e52c]	1666	new_plot.id = str(page_id) + " " + data.name
[a582d28]	1667	#if new_plot.id in self.color_dict:
[f32d144]	1668	# new_plot.custom_color = self.color_dict[new_plot.id]
[6bbeacd4]	1669	#find if this theory was already plotted and replace that plot given
	1670	#the same id
[2dbffcc]	1671	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
[71e5c11]	1672
	1673	if data.is_data:
	1674	data_name = str(data.name)
	1675	else:
	1676	data_name = str(model.__class__.__name__)
	1677
[f32d144]	1678	new_plot.name = model.name + " [" + data_name +"]"
[6bbeacd4]	1679	new_plot.xaxis(_xaxis, _xunit)
	1680	new_plot.yaxis(_yaxis, _yunit)
[f32d144]	1681	self.page_finder[page_id].set_theory_data(data=new_plot,
[2e08a9f]	1682	fid=data.id)
[2dbffcc]	1683	self.parent.update_theory(data_id=data.id, theory=new_plot,
[f32d144]	1684	state=state)
[66ff250]	1685	current_pg = self.fit_panel.get_page_by_id(page_id)
[ae4ade7]	1686	title = new_plot.title
[eb4f2fd]	1687	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1688	if not batch_on:
	1689	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[2dbffcc]	1690	title=str(title)))
[a5f6748]	1691	elif plot_result:
[90a2358]	1692	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1693	if data.id == top_data_id:
	1694	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[f32d144]	1695	title=str(title)))
[2dbffcc]	1696	caption = current_pg.window_caption
	1697	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
[7643ba2]	1698
[f32d144]	1699	self.page_finder[page_id].set_theory_data(data=new_plot,
[2dbffcc]	1700	fid=data.id)
	1701	if toggle_mode_on:
[f32d144]	1702	wx.PostEvent(self.parent,
[2dbffcc]	1703	NewPlotEvent(group_id=str(page_id) + " Model2D",
[f32d144]	1704	action="Hide"))
[2296316]	1705	else:
[2dbffcc]	1706	if update_chisqr:
	1707	wx.PostEvent(current_pg,
[2e08a9f]	1708	Chi2UpdateEvent(output=self._cal_chisqr(
	1709	data=data,
[f64a4b7]	1710	fid=fid,
[62f851f]	1711	weight=weight,
[2dbffcc]	1712	page_id=page_id,
	1713	index=index)))
	1714	else:
[f64a4b7]	1715	self._plot_residuals(page_id=page_id, data=data, fid=fid,
[f32d144]	1716	index=index, weight=weight)
[cfbd06a]	1717
[d522635]	1718	msg = "Computation completed!"
[f32d144]	1719	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[c77d859]	1720	except:
[6bbeacd4]	1721	raise
[5062bbf]	1722
[f32d144]	1723	def _update2D(self, output, time=None):
[c77d859]	1724	"""
[5062bbf]	1725	Update the output of plotting model
[c77d859]	1726	"""
[58e0c83]	1727	wx.PostEvent(self.parent, StatusEvent(status="Plot \
[a0da535]	1728	#updating ... ", type="update"))
[a2cb1f9]	1729	#self.ready_fit()
[58e0c83]	1730
[f32d144]	1731	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1732	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
[a5f6748]	1733	update_chisqr=True, source='model', plot_result=True):
[c77d859]	1734	"""
[5062bbf]	1735	Complete get the result of modelthread and create model 2D
	1736	that can be plot.
[c77d859]	1737	"""
[1ec979d]	1738	numpy.nan_to_num(image)
[f32d144]	1739	new_plot = Data2D(image=image, err_image=data.err_data)
[743f480]	1740	new_plot.name = model.name + '2d'
[818589a]	1741	new_plot.title = "Analytical model 2D "
[657e52c]	1742	new_plot.id = str(page_id) + " " + data.name
[f3242cf]	1743	new_plot.group_id = str(page_id) + " Model2D"
[2dbffcc]	1744	new_plot.detector = data.detector
	1745	new_plot.source = data.source
[f32d144]	1746	new_plot.is_data = False
[2dbffcc]	1747	new_plot.qx_data = data.qx_data
	1748	new_plot.qy_data = data.qy_data
	1749	new_plot.q_data = data.q_data
	1750	new_plot.mask = data.mask
	1751	## plot boundaries
	1752	new_plot.ymin = data.ymin
	1753	new_plot.ymax = data.ymax
	1754	new_plot.xmin = data.xmin
	1755	new_plot.xmax = data.xmax
	1756	title = data.title
[71e5c11]	1757
[dce84c0]	1758	new_plot.is_data = False
[71e5c11]	1759	if data.is_data:
	1760	data_name = str(data.name)
	1761	else:
[743f480]	1762	data_name = str(model.__class__.__name__) + '2d'
[71e5c11]	1763
	1764	if len(title) > 1:
[940aca7]	1765	new_plot.title = "Model2D for %s "% model.name + data_name
[53cf669]	1766	new_plot.name = model.name + " [" + \
[940aca7]	1767	data_name + "]"
[fa65e99]	1768	theory_data = deepcopy(new_plot)
[6bbeacd4]	1769
[f32d144]	1770	self.page_finder[page_id].set_theory_data(data=theory_data,
	1771	fid=data.id)
	1772	self.parent.update_theory(data_id=data.id,
[05319e2]	1773	theory=new_plot,
[f32d144]	1774	state=state)
[66ff250]	1775	current_pg = self.fit_panel.get_page_by_id(page_id)
[ae4ade7]	1776	title = new_plot.title
[a5f6748]	1777	if not source == 'fit' and plot_result:
[763bec8]	1778	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[ae4ade7]	1779	title=title))
[2dbffcc]	1780	if toggle_mode_on:
[f32d144]	1781	wx.PostEvent(self.parent,
[2dbffcc]	1782	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1783	action="Hide"))
[2296316]	1784	else:
[2dbffcc]	1785	# Chisqr in fitpage
	1786	if update_chisqr:
	1787	wx.PostEvent(current_pg,
	1788	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
[62f851f]	1789	weight=weight,
[f64a4b7]	1790	fid=fid,
[2dbffcc]	1791	page_id=page_id,
	1792	index=index)))
	1793	else:
[f64a4b7]	1794	self._plot_residuals(page_id=page_id, data=data, fid=fid,
[62f851f]	1795	index=index, weight=weight)
[d522635]	1796	msg = "Computation completed!"
[a0da535]	1797	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[6bbeacd4]	1798
[2dbffcc]	1799	def _draw_model2D(self, model, page_id, qmin,
	1800	qmax,
	1801	data=None, smearer=None,
[a0da535]	1802	description=None, enable2D=False,
[5ef55d2]	1803	state=None,
[f64a4b7]	1804	fid=None,
[62f851f]	1805	weight=None,
[fa65e99]	1806	toggle_mode_on=False,
[e3f6ef5]	1807	update_chisqr=True, source='model'):
[f93dfcb]	1808	"""
[5062bbf]	1809	draw model in 2D
	1810
	1811	:param model: instance of the model to draw
	1812	:param description: the description of the model
	1813	:param enable2D: when True allows to draw model 2D
	1814	:param qmin: the minimum value to draw model 2D
	1815	:param qmax: the maximum value to draw model 2D
	1816	:param qstep: the number of division of Qx and Qy of the model to draw
[f93dfcb]	1817
	1818	"""
[c77d859]	1819	if not enable2D:
[2dbffcc]	1820	return None
[c77d859]	1821	try:
	1822	from model_thread import Calc2D
	1823	## If a thread is already started, stop it
[a0da535]	1824	if (self.calc_2D is not None) and self.calc_2D.isrunning():
[c77d859]	1825	self.calc_2D.stop()
[9afebe1]	1826	## stop just raises a flag to tell the thread to kill
	1827	## itself -- see the fix in Calc1D implemented to fix
	1828	## an actual problem. Seems the fix should also go here
	1829	## and may be the cause of other noted instabilities
	1830	##
	1831	## -PDB August 12, 2014
	1832	while self.calc_2D.isrunning():
	1833	time.sleep(0.1)
[f32d144]	1834	self.calc_2D = Calc2D(model=model,
[a0da535]	1835	data=data,
[66ff250]	1836	page_id=page_id,
[a0da535]	1837	smearer=smearer,
	1838	qmin=qmin,
	1839	qmax=qmax,
[62f851f]	1840	weight=weight,
[f64a4b7]	1841	fid=fid,
[fa65e99]	1842	toggle_mode_on=toggle_mode_on,
[5ef55d2]	1843	state=state,
[2296316]	1844	completefn=self._complete2D,
[e3f6ef5]	1845	update_chisqr=update_chisqr, source=source)
[c77d859]	1846	self.calc_2D.queue()
	1847	except:
[6bbeacd4]	1848	raise
[f72333f]	1849
[f32d144]	1850	def _draw_model1D(self, model, page_id, data,
[2dbffcc]	1851	qmin, qmax, smearer=None,
[5ef55d2]	1852	state=None,
[62f851f]	1853	weight=None,
[f32d144]	1854	fid=None,
[e3f6ef5]	1855	toggle_mode_on=False, update_chisqr=True, source='model',
[2296316]	1856	enable1D=True):
[c77d859]	1857	"""
[5062bbf]	1858	Draw model 1D from loaded data1D
	1859
	1860	:param data: loaded data
	1861	:param model: the model to plot
	1862
[c77d859]	1863	"""
	1864	if not enable1D:
[f32d144]	1865	return
[c77d859]	1866	try:
	1867	from model_thread import Calc1D
	1868	## If a thread is already started, stop it
[a0da535]	1869	if (self.calc_1D is not None) and self.calc_1D.isrunning():
[c77d859]	1870	self.calc_1D.stop()
[9afebe1]	1871	## stop just raises the flag -- the thread is supposed to
	1872	## then kill itself but cannot. Paul Kienzle came up with
	1873	## this fix to prevent threads from stepping on each other
	1874	## which was causing a simple custom model to crash Sasview.
	1875	## We still don't know why the fit sometimes lauched a second
	1876	## thread -- something which should also be investigated.
	1877	## The thread approach was implemented in order to be able
	1878	## to lauch a computation in a separate thread from the GUI so
	1879	## that the GUI can still respond to user input including
	1880	## a request to stop the computation.
	1881	## It seems thus that the whole thread approach used here
	1882	## May need rethinking
	1883	##
	1884	## -PDB August 12, 2014
	1885	while self.calc_1D.isrunning():
	1886	time.sleep(0.1)
[2dbffcc]	1887	self.calc_1D = Calc1D(data=data,
[6bbeacd4]	1888	model=model,
[66ff250]	1889	page_id=page_id,
[a0da535]	1890	qmin=qmin,
	1891	qmax=qmax,
	1892	smearer=smearer,
[5ef55d2]	1893	state=state,
[62f851f]	1894	weight=weight,
[f64a4b7]	1895	fid=fid,
[fa65e99]	1896	toggle_mode_on=toggle_mode_on,
[2296316]	1897	completefn=self._complete1D,
	1898	#updatefn = self._update1D,
[e3f6ef5]	1899	update_chisqr=update_chisqr,
	1900	source=source)
[c77d859]	1901	self.calc_1D.queue()
	1902	except:
[a0da535]	1903	msg = " Error occurred when drawing %s Model 1D: " % model.name
	1904	msg += " %s" % sys.exc_value
	1905	wx.PostEvent(self.parent, StatusEvent(status=msg))
[2dbffcc]	1906
[f32d144]	1907	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
[f72333f]	1908	"""
[5062bbf]	1909	Get handy Chisqr using the output from draw1D and 2D,
	1910	instead of calling expansive CalcChisqr in guithread
[f72333f]	1911	"""
[bca2cb9]	1912	try:
	1913	data_copy = deepcopy(data)
	1914	except:
	1915	return
[f72333f]	1916	# default chisqr
	1917	chisqr = None
[2dbffcc]	1918	#to compute chisq make sure data has valid data
[f72333f]	1919	# return None if data == None
[df9e0fc]	1920	if not check_data_validity(data_copy) or data_copy == None:
[2dbffcc]	1921	return chisqr
[df9e0fc]	1922
[f72333f]	1923	# Get data: data I, theory I, and data dI in order
[ca2bdae]	1924	if data_copy.__class__.__name__ == "Data2D":
[f32d144]	1925	if index == None:
[dbb3914]	1926	index = numpy.ones(len(data_copy.data), dtype=bool)
[62f851f]	1927	if weight != None:
	1928	data_copy.err_data = weight
[a0da535]	1929	# get rid of zero error points
[f32d144]	1930	index = index & (data_copy.err_data != 0)
	1931	index = index & (numpy.isfinite(data_copy.data))
	1932	fn = data_copy.data[index]
[ca2bdae]	1933	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[f32d144]	1934	if theory_data == None:
[df9e0fc]	1935	return chisqr
[6bbeacd4]	1936	gn = theory_data.data[index]
[ca2bdae]	1937	en = data_copy.err_data[index]
[f72333f]	1938	else:
	1939	# 1 d theory from model_thread is only in the range of index
[2296316]	1940	if index == None:
[dbb3914]	1941	index = numpy.ones(len(data_copy.y), dtype=bool)
[62f851f]	1942	if weight != None:
	1943	data_copy.dy = weight
[ca2bdae]	1944	if data_copy.dy == None or data_copy.dy == []:
	1945	dy = numpy.ones(len(data_copy.y))
[f151ddf]	1946	else:
[a0da535]	1947	## Set consitently w/AbstractFitengine:
	1948	# But this should be corrected later.
[ca2bdae]	1949	dy = deepcopy(data_copy.dy)
[f32d144]	1950	dy[dy == 0] = 1
	1951	fn = data_copy.y[index]
[eb4f2fd]	1952
[ca2bdae]	1953	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[f32d144]	1954	if theory_data == None:
[df9e0fc]	1955	return chisqr
[6bbeacd4]	1956	gn = theory_data.y
[4d5fa8c]	1957	en = dy[index]
[162c778]	1958
[f72333f]	1959	# residual
[162c778]	1960	try:
	1961	res = (fn - gn) / en
	1962	except ValueError:
	1963	print "Unmatch lengths %s, %s, %s"% (len(fn), len(gn), len(en))
	1964	return
	1965
[2296316]	1966	residuals = res[numpy.isfinite(res)]
[f72333f]	1967	# get chisqr only w/finite
[2296316]	1968	chisqr = numpy.average(residuals * residuals)
[eb4f2fd]	1969
[f32d144]	1970	self._plot_residuals(page_id=page_id, data=data_copy,
[f64a4b7]	1971	fid=fid,
[62f851f]	1972	weight=weight, index=index)
[ca2bdae]	1973
[f72333f]	1974	return chisqr
	1975
[f64a4b7]	1976	def _plot_residuals(self, page_id, weight, fid=None,
[f32d144]	1977	data=None, index=None):
[2296316]	1978	"""
	1979	Plot the residuals
	1980
	1981	:param data: data
[f32d144]	1982	:param index: index array (bool)
[2296316]	1983	: Note: this is different from the residuals in cal_chisqr()
	1984	"""
[ca2bdae]	1985	data_copy = deepcopy(data)
[2296316]	1986	# Get data: data I, theory I, and data dI in order
[ca2bdae]	1987	if data_copy.__class__.__name__ == "Data2D":
[2296316]	1988	# build residuals
	1989	residuals = Data2D()
	1990	#residuals.copy_from_datainfo(data)
	1991	# Not for trunk the line below, instead use the line above
[ca2bdae]	1992	data_copy.clone_without_data(len(data_copy.data), residuals)
[2296316]	1993	residuals.data = None
[f32d144]	1994	fn = data_copy.data
[ca2bdae]	1995	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[f32d144]	1996	gn = theory_data.data
[9fa4a4d]	1997	if weight == None:
	1998	en = data_copy.err_data
	1999	else:
	2000	en = weight
[f32d144]	2001	residuals.data = (fn - gn) / en
	2002	residuals.qx_data = data_copy.qx_data
	2003	residuals.qy_data = data_copy.qy_data
	2004	residuals.q_data = data_copy.q_data
	2005	residuals.err_data = numpy.ones(len(residuals.data))
[2296316]	2006	residuals.xmin = min(residuals.qx_data)
	2007	residuals.xmax = max(residuals.qx_data)
	2008	residuals.ymin = min(residuals.qy_data)
	2009	residuals.ymax = max(residuals.qy_data)
[f32d144]	2010	residuals.q_data = data_copy.q_data
[ca2bdae]	2011	residuals.mask = data_copy.mask
[2296316]	2012	residuals.scale = 'linear'
	2013	# check the lengths
	2014	if len(residuals.data) != len(residuals.q_data):
	2015	return
	2016	else:
	2017	# 1 d theory from model_thread is only in the range of index
[ca2bdae]	2018	if data_copy.dy == None or data_copy.dy == []:
	2019	dy = numpy.ones(len(data_copy.y))
[2296316]	2020	else:
[62f851f]	2021	if weight == None:
[90a1440]	2022	dy = numpy.ones(len(data_copy.y))
[f32d144]	2023	## Set consitently w/AbstractFitengine:
[2296316]	2024	## But this should be corrected later.
[90a1440]	2025	else:
[f32d144]	2026	dy = weight
	2027	dy[dy == 0] = 1
	2028	fn = data_copy.y[index]
[ca2bdae]	2029	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[2296316]	2030	gn = theory_data.y
	2031	en = dy[index]
	2032	# build residuals
	2033	residuals = Data1D()
[ffdfd23]	2034	try:
	2035	residuals.y = (fn - gn) / en
	2036	except:
	2037	msg = "ResidualPlot Error: different # of data points in theory"
	2038	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	2039	residuals.y = (fn - gn[index]) / en
[ca2bdae]	2040	residuals.x = data_copy.x[index]
[2296316]	2041	residuals.dy = numpy.ones(len(residuals.y))
	2042	residuals.dx = None
	2043	residuals.dxl = None
	2044	residuals.dxw = None
	2045	residuals.ytransform = 'y'
	2046	# For latter scale changes
	2047	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2048	residuals.yaxis('\\rm{Residuals} ', 'normalized')
[940aca7]	2049	theory_name = str(theory_data.name.split()[0])
[2296316]	2050	new_plot = residuals
[940aca7]	2051	new_plot.name = "Residuals for " + str(theory_name) + "[" +\
	2052	str(data.name) +"]"
[2296316]	2053	## allow to highlight data when plotted
	2054	new_plot.interactive = True
	2055	## when 2 data have the same id override the 1 st plotted
[940aca7]	2056	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
[2296316]	2057	##group_id specify on which panel to plot this data
[5e48acb]	2058	group_id = self.page_finder[page_id].get_graph_id()
	2059	if group_id == None:
	2060	group_id = data.group_id
[f32d144]	2061	new_plot.group_id = "res" + str(group_id)
[2296316]	2062	#new_plot.is_data = True
	2063	##post data to plot
[f32d144]	2064	title = new_plot.name
	2065	self.page_finder[page_id].set_residuals(residuals=new_plot,
	2066	fid=data.id)
[2de278d9]	2067	self.parent.update_theory(data_id=data.id, theory=new_plot)
[f64a4b7]	2068	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
[5cf1e5b]	2069	if not batch_on:
	2070	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/perspectives/fitting/fitting.py @ 386ffe1

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