fitting.py @ 2d0756a5

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 2d0756a5 was 2d0756a5, checked in by Jae Cho <jhjcho@…>, 13 years ago
fixed fit/stop button behavior
Property mode set to `100644`
File size: 90.0 KB

Rev	Line
[6d8bad4]	1	"""
	2	Fitting perspective
	3	"""
[5612152]	4
[5062bbf]	5	################################################################################
	6	#This software was developed by the University of Tennessee as part of the
	7	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
	8	#project funded by the US National Science Foundation.
	9	#
	10	#See the license text in license.txt
	11	#
	12	#copyright 2009, University of Tennessee
	13	################################################################################
	14
	15
[a0da535]	16	import re
[5536035]	17	import sys
[056b569]	18	import os
[5536035]	19	import wx
	20	import logging
	21	import numpy
[c3b4dcb]	22	import time
[edcbd467]	23	from copy import deepcopy
[f83b94a]	24	import models
	25
[c21e87b]	26	from sans.dataloader.loader import Loader
[c3b4dcb]	27	from sans.guiframe.dataFitting import Data2D
	28	from sans.guiframe.dataFitting import Data1D
[2dbffcc]	29	from sans.guiframe.dataFitting import check_data_validity
[6bbeacd4]	30	from sans.guiframe.events import NewPlotEvent
	31	from sans.guiframe.events import StatusEvent
[a0da535]	32	from sans.guiframe.events import EVT_SLICER_PANEL
	33	from sans.guiframe.events import EVT_SLICER_PARS_UPDATE
[6bbeacd4]	34	from sans.guiframe.gui_style import GUIFRAME_ID
	35	from sans.guiframe.plugin_base import PluginBase
[e68bfef]	36	from sans.guiframe.data_processor import BatchCell
[2dbffcc]	37	from sans.fit.Fitting import Fit
[cc31608]	38	from .console import ConsoleUpdate
[2dbffcc]	39	from .fitproblem import FitProblemDictionary
[a0da535]	40	from .fitpanel import FitPanel
[cc31608]	41	from .fit_thread import FitThread
[a0da535]	42	from .pagestate import Reader
	43	from .fitpage import Chi2UpdateEvent
[6f140f2]	44	from sans.perspectives.calculator.model_editor import TextDialog
	45	from sans.perspectives.calculator.model_editor import EditorWindow
[ed2ea6a]	46
[c26a64b]	47	MAX_NBR_DATA = 4
[2c6b224]	48	SANS_F_TOL = 5e-05
[5062bbf]	49
[6bbeacd4]	50	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
[92a5ac92]	51
[5062bbf]	52
[f6aee42]	53	if sys.platform.count("darwin")==0:
	54	ON_MAC = False
	55	else:
	56	ON_MAC = True
[3658abed]	57
	58	class Plugin(PluginBase):
[d89f09b]	59	"""
[5062bbf]	60	Fitting plugin is used to perform fit
[d89f09b]	61	"""
[3658abed]	62	def __init__(self, standalone=False):
[908b817]	63	PluginBase.__init__(self, name="Fitting", standalone=standalone)
[d89f09b]	64
[ed2ea6a]	65	#list of panel to send to guiframe
[f83b94a]	66	self.mypanels = []
[ed2ea6a]	67	# reference to the current running thread
[f83b94a]	68	self.calc_2D = None
	69	self.calc_1D = None
[9f4f8f4]	70
	71	self.color_dict = {}
	72
[66ff250]	73	self.fit_thread_list = {}
[2296316]	74	self.residuals = None
[55bb249c]	75	self.weight = None
[9466f2d6]	76	self.fit_panel = None
[d89f09b]	77	# Start with a good default
	78	self.elapsed = 0.022
[ed2ea6a]	79	# the type of optimizer selected, park or scipy
[d89f09b]	80	self.fitter = None
[2296316]	81	self.fit_panel = None
[c660493]	82	#let fit ready
	83	self.fitproblem_count = None
[ed2ea6a]	84	#Flag to let the plug-in know that it is running stand alone
[f83b94a]	85	self.standalone = True
[6f023e8]	86	## dictionary of page closed and id
[f83b94a]	87	self.closed_page_dict = {}
[d89f09b]	88	## Fit engine
[e9e914f]	89	self._fit_engine = 'scipy'
[7db52f1]	90	self._gui_engine = None
[2296316]	91	## Relative error desired in the sum of squares (float); scipy only
[2c6b224]	92	self.ftol = SANS_F_TOL
[7db52f1]	93	self.batch_reset_flag = True
[ed2ea6a]	94	#List of selected data
[f83b94a]	95	self.selected_data_list = []
[c3435b7f]	96	## list of slicer panel created to display slicer parameters and results
[f83b94a]	97	self.slicer_panels = []
[32d802f]	98	# model 2D view
[f83b94a]	99	self.model2D_id = None
[ed2ea6a]	100	#keep reference of the simultaneous fit page
[f83b94a]	101	self.sim_page = None
[fa02d95]	102	self.sim_menu = None
	103	self.batch_page = None
	104	self.batch_menu = None
[ae4ade7]	105	self.index_model = 0
[9f4f8f4]	106	self.test_model_color = None
[f83b94a]	107	#Create a reader for fit page's state
[3bf4a032]	108	self.state_reader = None
[c8deee5]	109	self._extensions = '.fitv'
[0b6ae5f]	110	self.scipy_id = wx.NewId()
	111	self.park_id = wx.NewId()
[dafc36f]	112	self.menu1 = None
[6f140f2]	113	self.new_model_frame = None
[0b6ae5f]	114
[4da35bc]	115	self.temp_state = []
[ef16f59]	116	self.state_index = 0
[b63dc6e]	117	self.sfile_ext = None
[6bbeacd4]	118	# take care of saving data, model and page associated with each other
	119	self.page_finder = {}
[f83b94a]	120	# Log startup
	121	logging.info("Fitting plug-in started")
[7360816]	122	self.batch_capable = self.get_batch_capable()
	123
	124	def get_batch_capable(self):
	125	"""
	126	Check if the plugin has a batch capability
	127	"""
	128	return True
[9f4f8f4]	129
[2dbffcc]	130	def create_fit_problem(self, page_id):
	131	"""
	132	Given an ID create a fitproblem container
	133	"""
	134	self.page_finder[page_id] = FitProblemDictionary()
	135
	136	def delete_fit_problem(self, page_id):
	137	"""
	138	Given an ID create a fitproblem container
	139	"""
	140	if page_id in self.page_finder.iterkeys():
	141	del self.page_finder[page_id]
	142
[9f4f8f4]	143	def add_color(self, color, id):
	144	"""
	145	adds a color as a key with a plot id as its value to a dictionary
	146	"""
	147	self.color_dict[id] = color
[2a8fac1]	148
[cc31608]	149	def on_batch_selection(self, flag):
	150	"""
	151	switch the the notebook of batch mode or not
	152	"""
	153	self.batch_on = flag
[2dbffcc]	154	if self.fit_panel is not None:
	155	self.fit_panel.batch_on = self.batch_on
[cc31608]	156
[cab076b]	157	def populate_menu(self, owner):
[d89f09b]	158	"""
[5062bbf]	159	Create a menu for the Fitting plug-in
	160
	161	:param id: id to create a menu
	162	:param owner: owner of menu
	163
	164	:return: list of information to populate the main menu
	165
[d89f09b]	166	"""
	167	#Menu for fitting
	168	self.menu1 = wx.Menu()
[0b6ae5f]	169	id1 = wx.NewId()
	170	simul_help = "Add new fit panel"
	171	self.menu1.Append(id1, '&New Fit Page',simul_help)
	172	wx.EVT_MENU(owner, id1, self.on_add_new_page)
[6f023e8]	173	self.menu1.AppendSeparator()
[dafc36f]	174	self.id_simfit = wx.NewId()
[6bbeacd4]	175	simul_help = "Simultaneous Fit"
[dafc36f]	176	self.menu1.Append(self.id_simfit, '&Simultaneous Fit',simul_help)
	177	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
[fa02d95]	178	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
	179	self.sim_menu.Enable(False)
	180	#combined Batch
	181	self.id_batchfit = wx.NewId()
[7b1ca97]	182	batch_help = "Combined Batch"
[fa02d95]	183	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
	184	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
	185	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
	186	self.batch_menu.Enable(False)
[f7e9af2]	187	self.menu1.AppendSeparator()
[0b6ae5f]	188	#Set park engine
[fa02d95]	189	scipy_help = "Scipy Engine: Perform Simple fit. More in Help window...."
[2c6b224]	190	self.menu1.AppendCheckItem(self.scipy_id, "Simple FitEngine [LeastSq]",
	191	scipy_help)
[0b6ae5f]	192	wx.EVT_MENU(owner, self.scipy_id, self._onset_engine_scipy)
	193
	194	park_help = "Park Engine: Perform Complex fit. More in Help window...."
[2c6b224]	195	self.menu1.AppendCheckItem(self.park_id, "Complex FitEngine [ParkMC]",
	196	park_help)
[0b6ae5f]	197	wx.EVT_MENU(owner, self.park_id, self._onset_engine_park)
	198
	199	self.menu1.FindItemById(self.scipy_id).Check(True)
	200	self.menu1.FindItemById(self.park_id).Check(False)
[2c6b224]	201	self.menu1.AppendSeparator()
	202	self.id_tol = wx.NewId()
	203	ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol)
	204	ftol_help += "of Simple FitEngine..."
[9a10c12]	205	self.menu1.Append(self.id_tol, "Change FTolerance",
[2c6b224]	206	ftol_help)
	207	wx.EVT_MENU(owner, self.id_tol, self.show_ftol_dialog)
[da6fd1a]	208	self.menu1.AppendSeparator()
[2c6b224]	209
[da6fd1a]	210	self.id_reset_flag = wx.NewId()
	211	resetf_help = "BatchFit: If checked, the initial param values will be "
	212	resetf_help += "propagated from the previous results. "
	213	resetf_help += "Otherwise, the same initial param values will be used "
	214	resetf_help += "for all fittings."
[7c8d3093]	215	self.menu1.AppendCheckItem(self.id_reset_flag,
	216	"Chain Fitting [BatchFit Only]",
[da6fd1a]	217	resetf_help)
	218	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
[70e439f]	219	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
	220	chain_menu.Check(not self.batch_reset_flag)
	221	chain_menu.Enable(self.batch_on)
[056b569]	222
	223	self.menu1.AppendSeparator()
[5d1c1f4]	224	self.edit_model_menu = wx.Menu()
	225	# Find and put files name in menu
	226	try:
	227	self.set_edit_menu(owner=owner)
	228	except:
	229	raise
[056b569]	230
[5d1c1f4]	231	self.id_edit = wx.NewId()
[2b878d74]	232	editmodel_help = "Edit customized model sample file"
[5d1c1f4]	233	self.menu1.AppendMenu(self.id_edit, "Edit Custom Model",
	234	self.edit_model_menu, editmodel_help)
[3b19ac9]	235	#create menubar items
[908b817]	236	return [(self.menu1, self.sub_menu)]
[056b569]	237
	238	def edit_custom_model(self, event):
	239	"""
	240	Get the python editor panel
	241	"""
[5d1c1f4]	242	id = event.GetId()
[7c8d3093]	243	label = self.edit_menu.GetLabel(id)
[5d1c1f4]	244	from sans.perspectives.calculator.pyconsole import PyConsole
	245	filename = os.path.join(models.find_plugins_dir(), label)
	246	frame = PyConsole(parent=self.parent, manager=self, panel= self.fit_panel,
[6f140f2]	247	title='Advanced Custom Model Editor', filename=filename)
[056b569]	248	self.put_icon(frame)
	249	frame.Show(True)
[7c8d3093]	250
[b25caad]	251	def delete_custom_model(self, event):
	252	"""
	253	Delete custom model file
	254	"""
	255	id = event.GetId()
	256	label = self.delete_menu.GetLabel(id)
	257	toks = os.path.splitext(label)
	258	path = os.path.join(models.find_plugins_dir(), toks[0])
	259	try:
	260	for ext in ['.py', '.pyc']:
	261	p_path = path + ext
	262	os.remove(p_path)
	263	self.update_custom_combo()
	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	break
	269	except:
	270	msg ='Delete Error: \nCould not delete the file; Check if in use.'
	271	wx.MessageBox(msg)
	272
[7c8d3093]	273	def make_sum_model(self, event):
	274	"""
	275	Edit summodel template and make one
	276	"""
	277	id = event.GetId()
	278	model_list = []
	279	model_manager = models.ModelManager()
	280	model_list = model_manager.get_model_name_list()
[796c4d4]	281	plug_dir = models.find_plugins_dir()
	282	textdial = TextDialog(None, self, -1, 'Easy Sum(p1, p2)',
	283	model_list, plug_dir)
[7c8d3093]	284	self.put_icon(textdial)
[796c4d4]	285	dial = textdial.ShowModal()
	286
[7c8d3093]	287	textdial.Destroy()
[6f140f2]	288
	289	def make_new_model(self, event):
	290	"""
	291	Make new model
	292	"""
	293	if self.new_model_frame != None and self.new_model_frame.IsShown():
	294	self.new_model_frame.Show(False)
	295	else:
	296	id = event.GetId()
	297	dir_path = models.find_plugins_dir()
	298	title = "New Custom Model Function"
	299	self.new_model_frame = EditorWindow(parent=self, base=self,
	300	path=dir_path, title=title)
	301	self.put_icon(self.new_model_frame)
	302	self.new_model_frame.Show(True)
[7c8d3093]	303
[ed8fa6a3]	304	def update_custom_combo(self):
	305	"""
	306	Update custom model list in the fitpage combo box
	307	"""
	308	try:
[b25caad]	309	# Update edit menus
	310	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
	311	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
[ed8fa6a3]	312	temp = self.fit_panel.reset_pmodel_list()
	313	if temp:
	314	# Set the new custom model list for all fit pages
	315	for uid, page in self.fit_panel.opened_pages.iteritems():
	316	if hasattr(page, "formfactorbox"):
	317	page.model_list_box = temp
	318	current_val = page.formfactorbox.GetValue()
	319	pos = page.formfactorbox.GetSelection()
	320	page._show_combox_helper()
[b25caad]	321	new_val = page.formfactorbox.GetValue()
	322	if current_val != new_val and new_val != '':
	323	page.formfactorbox.SetValue(new_val)
	324	else:
	325	page.formfactorbox.SetValue(current_val)
[ed8fa6a3]	326	except:
	327	pass
	328
	329
[5d1c1f4]	330	def set_edit_menu(self, owner):
	331	"""
	332	Set list of the edit model menu labels
	333	"""
[7c8d3093]	334	id = wx.NewId()
[6f140f2]	335	#new_model_menu = wx.Menu()
[b25caad]	336	self.edit_model_menu.Append(id, 'New',
[6f140f2]	337	'Add a new model function')#,
	338	#new_model_menu)
	339	wx.EVT_MENU(owner, id, self.make_new_model)
	340	id = wx.NewId()
[b25caad]	341	self.edit_model_menu.Append(id, 'Sum(p1, p2)',
[6f140f2]	342	'Sum of two model functions')
[7c8d3093]	343	wx.EVT_MENU(owner, id, self.make_sum_model)
	344	e_id = wx.NewId()
	345	self.edit_menu =wx.Menu()
	346	self.edit_model_menu.AppendMenu(e_id,
[b25caad]	347	'Advanced', self.edit_menu)
	348	self.set_edit_menu_helper(owner, self.edit_custom_model)
	349
	350	d_id = wx.NewId()
	351	self.delete_menu =wx.Menu()
	352	self.edit_model_menu.AppendMenu(d_id,
	353	'Delete', self.delete_menu)
	354	self.set_edit_menu_helper(owner, self.delete_custom_model)
[7c8d3093]	355
[d83549c]	356	def set_edit_menu_helper(self, owner=None, menu=None):
[7c8d3093]	357	"""
	358	help for setting list of the edit model menu labels
	359	"""
[d83549c]	360	if menu == None:
	361	menu = self.edit_custom_model
[5d1c1f4]	362	list_fnames = os.listdir(models.find_plugins_dir())
[d2843a9]	363	list_fnames.sort()
	364	for f_item in list_fnames:
	365	name = os.path.basename(f_item)
[5d1c1f4]	366	toks = os.path.splitext(name)
[b25caad]	367	if toks[-1]=='.py' and not toks[0] =='__init__':
	368	if menu == self.edit_custom_model:
	369	if toks[0] =='easy_sum_of_p1_p2':
	370	continue
	371	submenu = self.edit_menu
	372	else:
	373	submenu = self.delete_menu
	374	#name = toks[0]
[5d1c1f4]	375	has_file = False
[b25caad]	376	for item in submenu.GetMenuItems():
	377	if name == submenu.GetLabel(item.GetId()):
[5d1c1f4]	378	has_file = True
	379	if not has_file:
	380	id = wx.NewId()
[b25caad]	381	submenu.Append(id, name)
	382	wx.EVT_MENU(owner, id, menu)
[5d1c1f4]	383	has_file = False
	384
[056b569]	385	def put_icon(self, frame):
	386	"""
	387	Put icon in the frame title bar
	388	"""
	389	if hasattr(frame, "IsIconized"):
	390	if not frame.IsIconized():
	391	try:
	392	icon = self.parent.GetIcon()
	393	frame.SetIcon(icon)
	394	except:
	395	pass
	396
[51d47b5]	397	def on_add_sim_page(self, event):
[ed2ea6a]	398	"""
[5062bbf]	399	Create a page to access simultaneous fit option
[ed2ea6a]	400	"""
[fa02d95]	401	id = event.GetId()
	402	caption = "Simultaneous Fit"
	403	page = self.sim_page
	404	if id == self.id_batchfit:
[7b1ca97]	405	caption = "Combined Batch"
[fa02d95]	406	page = self.batch_page
	407
	408	def set_focus_page(page):
	409	page.Show(True)
	410	page.Refresh()
	411	page.SetFocus()
[581d1d4]	412	self.parent._mgr.Update()
[fa02d95]	413	msg = "%s already opened\n" % str(page.window_caption)
	414	wx.PostEvent(self.parent, StatusEvent(status=msg))
	415
	416	if page != None:
	417	return set_focus_page(page)
	418	if caption == "Simultaneous Fit":
	419	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	420	else:
	421	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
[b28717b]	422
[d89f09b]	423	def help(self, evt):
	424	"""
[5062bbf]	425	Show a general help dialog.
[d89f09b]	426	"""
[484faf7]	427	from help_panel import HelpWindow
[34ffeed]	428	frame = HelpWindow(None, -1, 'HelpWindow')
	429	if hasattr(frame, "IsIconized"):
	430	if not frame.IsIconized():
	431	try:
	432	icon = self.parent.GetIcon()
	433	frame.SetIcon(icon)
	434	except:
	435	pass
[2268d10]	436	frame.Show(True)
	437
[6bbeacd4]	438	def get_context_menu(self, plotpanel=None):
[d89f09b]	439	"""
[5062bbf]	440	Get the context menu items available for P(r).them allow fitting option
	441	for Data2D and Data1D only.
	442
	443	:param graph: the Graph object to which we attach the context menu
	444
	445	:return: a list of menu items with call-back function
	446
	447	:note: if Data1D was generated from Theory1D
	448	the fitting option is not allowed
	449
[d89f09b]	450	"""
[6bbeacd4]	451	graph = plotpanel.graph
[484faf7]	452	fit_option = "Select data for fitting"
	453	fit_hint = "Dialog with fitting parameters "
[6bbeacd4]	454
	455	if graph.selected_plottable not in plotpanel.plots:
	456	return []
	457	item = plotpanel.plots[graph.selected_plottable]
	458	if item.__class__.__name__ is "Data2D":
	459	if hasattr(item,"is_data"):
	460	if item.is_data:
	461	return [[fit_option, fit_hint, self._onSelect]]
	462	else:
	463	return []
	464	return [[fit_option, fit_hint, self._onSelect]]
	465	else:
	466
	467	# if is_data is true , this in an actual data loaded
	468	#else it is a data created from a theory model
	469	if hasattr(item,"is_data"):
	470	if item.is_data:
	471	return [[fit_option, fit_hint,
	472	self._onSelect]]
	473	else:
	474	return []
[d89f09b]	475	return []
	476
	477
	478	def get_panels(self, parent):
	479	"""
[5062bbf]	480	Create and return a list of panel objects
[d89f09b]	481	"""
	482	self.parent = parent
[75fbd17]	483	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
[d89f09b]	484	# Creation of the fit panel
[6bbeacd4]	485	self.fit_panel = FitPanel(parent=self.parent, manager=self)
	486	self.on_add_new_page(event=None)
[f93dfcb]	487	#Set the manager for the main panel
[d89f09b]	488	self.fit_panel.set_manager(self)
	489	# List of windows used for the perspective
	490	self.perspective = []
	491	self.perspective.append(self.fit_panel.window_name)
[6bbeacd4]	492
[3b19ac9]	493	#index number to create random model name
	494	self.index_model = 0
[264df67]	495	self.index_theory= 0
[32673ac]	496	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
[848a2ef]	497	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[df4c3ad]	498	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
[3bf4a032]	499	#Create reader when fitting panel are created
	500	self.state_reader = Reader(self.set_state)
	501	#append that reader to list of available reader
	502	loader = Loader()
	503	loader.associate_file_reader(".fitv", self.state_reader)
[f22e626]	504	#loader.associate_file_reader(".svs", self.state_reader)
[a436b2e]	505	#from sans.perspectives.calculator.sld_panel import SldPanel
[f93dfcb]	506	#Send the fitting panel to guiframe
[0912feab]	507	self.mypanels.append(self.fit_panel)
[a436b2e]	508	#self.mypanels.append(SldPanel(parent=self.parent, base=self.parent))
[568e1a5]	509	return self.mypanels
[232c3db]	510
[90a7bbd]	511	def clear_panel(self):
	512	"""
	513	"""
[81f00d7]	514	self.fit_panel.clear_panel()
[90a7bbd]	515
[1610976]	516	def set_default_perspective(self):
	517	"""
[5062bbf]	518	Call back method that True to notify the parent that the current plug-in
	519	can be set as default perspective.
	520	when returning False, the plug-in is not candidate for an automatic
	521	default perspective setting
[1610976]	522	"""
	523	return True
[a0da535]	524
[17553ae]	525	def delete_data(self, data):
[8ee56a9]	526	"""
	527	delete the given data from panel
	528	"""
	529	self.fit_panel.delete_data(data)
	530
[e88ebfd]	531	def set_data(self, data_list=None):
[a0da535]	532	"""
	533	receive a list of data to fit
	534	"""
[b2d9826]	535	if data_list is None:
	536	data_list = []
[c26a64b]	537	selected_data_list = []
[cc31608]	538	if self.batch_on:
	539	page = self.add_fit_page(data=data_list)
[c26a64b]	540	else:
[cc31608]	541	if len(data_list) > MAX_NBR_DATA:
	542	from fitting_widgets import DataDialog
	543	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	544	if dlg.ShowModal() == wx.ID_OK:
	545	selected_data_list = dlg.get_data()
	546	dlg.Destroy()
	547
	548	else:
	549	selected_data_list = data_list
	550	try:
[5e48acb]	551	group_id = wx.NewId()
[cc31608]	552	for data in selected_data_list:
[5e48acb]	553	if data is not None:
[33b7954]	554	# 2D has no same group_id
	555	if data.__class__.__name__ == 'Data2D':
	556	group_id = wx.NewId()
[5e48acb]	557	data.group_id = group_id
[14774db]	558	if group_id not in data.list_group_id:
	559	data.list_group_id.append(group_id)
	560	page = self.add_fit_page(data=[data])
[cc31608]	561	except:
	562	msg = "Fitting Set_data: " + str(sys.exc_value)
	563	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
[1b1bbf9]	564
	565	def set_top_panel(self):
	566	"""
	567	Close default (welcome) panel
	568	"""
	569	if 'default' in self.parent.panels:
	570	self.parent.on_close_welcome_panel()
	571
[5e48acb]	572
[e88ebfd]	573	def set_theory(self, theory_list=None):
	574	"""
	575	"""
	576	#set the model state for a given theory_state:
	577	for item in theory_list:
	578	try:
	579	_, theory_state = item
	580	self.fit_panel.set_model_state(theory_state)
	581	except:
	582	msg = "Fitting: cannot deal with the theory received"
	583	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
	584	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
[a0da535]	585
[b63dc6e]	586	def set_state(self, state=None, datainfo=None, format=None):
[f83b94a]	587	"""
[5062bbf]	588	Call-back method for the fit page state reader.
[8897d66]	589	This method is called when a .fitv/.svs file is loaded.
[5062bbf]	590
[8897d66]	591	: param state: PageState object
	592	: param datainfo: data
[f83b94a]	593	"""
[90a7bbd]	594	#state = self.state_reader.get_state()
[b63dc6e]	595	if state != None:
[4bee68d]	596	state = state.clone()
[b63dc6e]	597	# store fitting state in temp_state
	598	self.temp_state.append(state)
	599	else:
	600	self.temp_state = []
[ef16f59]	601	# index to start with for a new set_state
	602	self.state_index = 0
[b63dc6e]	603	# state file format
	604	self.sfile_ext = format
[75fbd17]	605
	606	self.on_set_state_helper(event=None)
[ef16f59]	607
[75fbd17]	608	def on_set_state_helper(self,event=None):
[4da35bc]	609	"""
[0fd2f27]	610	Set_state_helper. This actually sets state
	611	after plotting data from state file.
[ef16f59]	612
[0fd2f27]	613	: event: FitStateUpdateEvent called
	614	by dataloader.plot_data from guiframe
[4da35bc]	615	"""
[7a07864]	616	if len(self.temp_state) == 0:
[0fd2f27]	617	if self.state_index==0 and len(self.mypanels) <= 0 \
	618	and self.sfile_ext =='.svs':
[6d8bad4]	619	#TODO: Why was the following line left in the code
	620	# if add_default_pages doesn't exist?
	621	try:
	622	self.fit_panel.add_default_pages()
	623	except:
	624	print sys.exc_value
[b63dc6e]	625	self.temp_state = []
	626	self.state_index = 0
[4da35bc]	627	return
[3eb2811]	628
[ef16f59]	629	try:
	630	# Load fitting state
	631	state = self.temp_state[self.state_index]
[3eb2811]	632	#panel state should have model selection to set_state
	633	if state.formfactorcombobox != None:
	634	#set state
[75fbd17]	635	data = self.parent.create_gui_data(state.data)
	636	data.group_id = state.data.group_id
[f95301b]	637	self.parent.add_data(data_list={data.id:data})
[75fbd17]	638	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	639	title=data.title))
[f95301b]	640	#need to be fix later make sure we are sendind guiframe.data
	641	#to panel
	642	state.data = data
[3eb2811]	643	page = self.fit_panel.set_state(state)
	644	else:
	645	#just set data because set_state won't work
[75fbd17]	646	data = self.parent.create_gui_data(state.data)
	647	data.group_id = state.data.group_id
[f95301b]	648	self.parent.add_data(data_list={data.id:data})
	649	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	650	title=data.title))
[cc31608]	651	page = self.add_fit_page([data])
[2dbffcc]	652	caption = page.window_caption
	653	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	654	caption=caption)
[1b1bbf9]	655	self.mypanels.append(page)
[3eb2811]	656
[9b18735]	657	# get ready for the next set_state
[ef16f59]	658	self.state_index += 1
[9b18735]	659
[ef16f59]	660	#reset state variables to default when all set_state is finished.
	661	if len(self.temp_state) == self.state_index:
[9b18735]	662
[ef16f59]	663	self.temp_state = []
[b63dc6e]	664	#self.state_index = 0
[ef16f59]	665	# Make sure the user sees the fitting panel after loading
[75fbd17]	666	#self.parent.set_perspective(self.perspective)
	667	self.on_perspective(event=None)
[ef16f59]	668	except:
[b63dc6e]	669	self.state_index==0
[8897d66]	670	self.temp_state = []
[ef16f59]	671	raise
[1b14795]	672
	673	def set_param2fit(self, uid, param2fit):
	674	"""
	675	Set the list of param names to fit for fitprobelm
	676	"""
	677	self.page_finder[uid].set_param2fit(param2fit)
[5e48acb]	678
	679	def set_graph_id(self, uid, graph_id):
	680	"""
	681	Set graph_id for fitprobelm
	682	"""
	683	self.page_finder[uid].set_graph_id(graph_id)
	684
	685	def get_graph_id(self, uid):
	686	"""
	687	Set graph_id for fitprobelm
	688	"""
	689	return self.page_finder[uid].get_graph_id()
	690
[f83b94a]	691	def save_fit_state(self, filepath, fitstate):
	692	"""
[5062bbf]	693	save fit page state into file
[f83b94a]	694	"""
	695	self.state_reader.write(filename=filepath, fitstate=fitstate)
[55bb249c]	696
[f7ef313]	697	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
[55bb249c]	698	"""
	699	Set the fit weights of a given page for all
	700	its data by default. If fid is provide then set the range
	701	only for the data with fid as id
	702	:param uid: id corresponding to a fit page
	703	:param fid: id corresponding to a fit problem (data, model)
	704	:param weight: current dy data
	705	"""
	706	if uid in self.page_finder.keys():
[f7ef313]	707	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
[55bb249c]	708
[2dbffcc]	709	def set_fit_range(self, uid, qmin, qmax, fid=None):
[ca7a626]	710	"""
[2dbffcc]	711	Set the fitting range of a given page for all
	712	its data by default. If fid is provide then set the range
	713	only for the data with fid as id
	714	:param uid: id corresponding to a fit page
	715	:param fid: id corresponding to a fit problem (data, model)
	716	:param qmin: minimum value of the fit range
	717	:param qmax: maximum value of the fit range
[ca7a626]	718	"""
[2dbffcc]	719	if uid in self.page_finder.keys():
[f6933b8]	720	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	721
[2dbffcc]	722	def schedule_for_fit(self, value=0, uid=None):
[948add7]	723	"""
[5062bbf]	724	Set the fit problem field to 0 or 1 to schedule that problem to fit.
	725	Schedule the specified fitproblem or get the fit problem related to
	726	the current page and set value.
	727	:param value: integer 0 or 1
[2dbffcc]	728	:param uid: the id related to a page contaning fitting information
	729	"""
	730	if uid in self.page_finder.keys():
[66ff250]	731	self.page_finder[uid].schedule_tofit(value)
[ca7a626]	732
[d89f09b]	733	def get_page_finder(self):
[5062bbf]	734	"""
	735	return self.page_finder used also by simfitpage.py
	736	"""
[d89f09b]	737	return self.page_finder
	738
[3b19ac9]	739	def set_page_finder(self,modelname,names,values):
[d89f09b]	740	"""
[5062bbf]	741	Used by simfitpage.py to reset a parameter given the string constrainst.
	742
[0fd2f27]	743	:param modelname: the name ot the model for with the parameter
	744	has to reset
[5062bbf]	745	:param value: can be a string in this case.
	746	:param names: the paramter name
	747
	748	:note: expecting park used for fit.
	749
[d89f09b]	750	"""
[66ff250]	751	sim_page_id = self.sim_page.uid
	752	for uid, value in self.page_finder.iteritems():
[fa02d95]	753	if uid != sim_page_id and uid != self.batch_page.uid:
[6bbeacd4]	754	list = value.get_model()
[f93dfcb]	755	model = list[0]
[6bbeacd4]	756	if model.name == modelname:
	757	value.set_model_param(names, values)
[d89f09b]	758	break
[2db1d66]	759
[d89f09b]	760	def split_string(self,item):
	761	"""
[5062bbf]	762	receive a word containing dot and split it. used to split parameterset
	763	name into model name and parameter name example: ::
	764
[3b19ac9]	765	paramaterset (item) = M1.A
[5062bbf]	766	Will return model_name = M1 , parameter name = A
	767
[d89f09b]	768	"""
[6d8bad4]	769	if item.find(".") >= 0:
[7c8d3093]	770	param_names = re.split("\.", item)
	771	model_name = param_names[0]
[6d91073]	772	##Assume max len is 3; eg., M0.radius.width
	773	if len(param_names) == 3:
[7c8d3093]	774	param_name = param_names[1] + "." + param_names[2]
[6d91073]	775	else:
[7c8d3093]	776	param_name = param_names[1]
	777	return model_name, param_name
[2296316]	778
	779	def set_ftol(self, ftol=None):
	780	"""
	781	Set ftol: Relative error desired in the sum of chi squares.
	782	"""
	783	# check if it is flaot
	784	try:
	785	f_tol = float(ftol)
	786	except:
	787	# default
[2c6b224]	788	f_tol = SANS_F_TOL
[2296316]	789
	790	self.ftol = f_tol
[2c6b224]	791	# update ftol menu help strings
	792	ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol)
	793	ftol_help += "of Simple FitEngine..."
[dafc36f]	794	if self.menu1 != None:
	795	self.menu1.SetHelpString(self.id_tol, ftol_help)
[2c6b224]	796
	797	def show_ftol_dialog(self, event=None):
	798	"""
	799	Dialog to select ftol for Scipy
	800	"""
	801	#if event != None:
	802	# event.Skip()
	803	from ftol_dialog import ChangeFtol
	804	panel = ChangeFtol(self.parent, self)
	805	panel.ShowModal()
	806
[66ff250]	807	def stop_fit(self, uid):
[ed2ea6a]	808	"""
[5062bbf]	809	Stop the fit engine
[ed2ea6a]	810	"""
[66ff250]	811	if uid in self.fit_thread_list.keys():
	812	calc_fit = self.fit_thread_list[uid]
	813	if calc_fit is not None and calc_fit.isrunning():
	814	calc_fit.stop()
	815	msg = "Fit stop!"
	816	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[3ddc2c4]	817	del self.fit_thread_list[uid]
[66ff250]	818	#set the fit button label of page when fit stop is trigger from
	819	#simultaneous fit pane
[fa02d95]	820	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	821	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	822	if sim_flag or batch_flag:
[66ff250]	823	for uid, value in self.page_finder.iteritems():
	824	if value.get_scheduled() == 1:
	825	if uid in self.fit_panel.opened_pages.keys():
	826	panel = self.fit_panel.opened_pages[uid]
[fa02d95]	827	panel._on_fit_complete()
[6bbeacd4]	828
[2dbffcc]	829	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	830	enable_smearer=False):
	831	"""
	832	Get a smear object and store it to a fit problem of fid as id. If proper
	833	flag is enable , will plot the theory with smearing information.
	834
	835	:param smearer: smear object to allow smearing data of id fid
	836	:param enable_smearer: Define whether or not all (data, model) contained
	837	in the structure of id uid will be smeared before fitting.
	838	:param qmin: the maximum value of the theory plotting range
	839	:param qmax: the maximum value of the theory plotting range
	840	:param draw: Determine if the theory needs to be plot
[ca7a626]	841	"""
[66ff250]	842	if uid not in self.page_finder.keys():
[2dbffcc]	843	return
	844	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	845	self.page_finder[uid].set_smearer(smearer, fid=fid)
[6bbeacd4]	846	if draw:
	847	## draw model 1D with smeared data
[2dbffcc]	848	data = self.page_finder[uid].get_fit_data(fid=fid)
	849	if data is None:
	850	msg = "set_mearer requires at least data.\n"
	851	msg += "Got data = %s .\n" % str(data)
[269df2b]	852	return
	853	#raise ValueError, msg
[2dbffcc]	854	model = self.page_finder[uid].get_model(fid=fid)
[6bbeacd4]	855	if model is None:
	856	return
[2dbffcc]	857	enable1D = issubclass(data.__class__, Data1D)
	858	enable2D = issubclass(data.__class__, Data2D)
[6bbeacd4]	859	## if user has already selected a model to plot
	860	## redraw the model with data smeared
[2dbffcc]	861	smear = self.page_finder[uid].get_smearer(fid=fid)
[342dc442]	862
	863	# compute weight for the current data
	864	weight = self.page_finder[uid].get_weight(fid=fid)
	865
[66ff250]	866	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
[ba1f0b2]	867	enable1D=enable1D, enable2D=enable2D,
[342dc442]	868	qmin=qmin, qmax=qmax, weight=weight)
[f6aee42]	869	self._mac_sleep(0.2)
	870
	871	def _mac_sleep(self, sec=0.2):
[2dbffcc]	872	"""
	873	Give sleep to MAC
	874	"""
[f6aee42]	875	if ON_MAC:
[2dbffcc]	876	time.sleep(sec)
	877
[66ff250]	878	def draw_model(self, model, page_id, data=None, smearer=None,
[67e258c]	879	enable1D=True, enable2D=False,
[5ef55d2]	880	state=None,
[f64a4b7]	881	fid=None,
[fa65e99]	882	toggle_mode_on=False,
[2dbffcc]	883	qmin=None, qmax=None,
[e3f6ef5]	884	update_chisqr=True, weight=None, source='model'):
[ca7a626]	885	"""
[5062bbf]	886	Draw model.
	887
	888	:param model: the model to draw
	889	:param name: the name of the model to draw
	890	:param data: the data on which the model is based to be drawn
	891	:param description: model's description
	892	:param enable1D: if true enable drawing model 1D
	893	:param enable2D: if true enable drawing model 2D
	894	:param qmin: Range's minimum value to draw model
	895	:param qmax: Range's maximum value to draw model
	896	:param qstep: number of step to divide the x and y-axis
[2296316]	897	:param update_chisqr: update chisqr [bool]
[ed2ea6a]	898
[d89f09b]	899	"""
[62f851f]	900	#self.weight = weight
[ad3fa1e]	901	if issubclass(data.__class__, Data1D) or not enable2D:
[f72333f]	902	## draw model 1D with no loaded data
[67e258c]	903	self._draw_model1D(model=model,
	904	data=data,
[66ff250]	905	page_id=page_id,
[67e258c]	906	enable1D=enable1D,
	907	smearer=smearer,
	908	qmin=qmin,
	909	qmax=qmax,
[f64a4b7]	910	fid=fid,
[62f851f]	911	weight=weight,
[fa65e99]	912	toggle_mode_on=toggle_mode_on,
[5ef55d2]	913	state=state,
[e3f6ef5]	914	update_chisqr=update_chisqr,
	915	source=source)
[f72333f]	916	else:
	917	## draw model 2D with no initial data
[ba1f0b2]	918	self._draw_model2D(model=model,
[66ff250]	919	page_id=page_id,
[67e258c]	920	data=data,
	921	enable2D=enable2D,
	922	smearer=smearer,
	923	qmin=qmin,
	924	qmax=qmax,
[f64a4b7]	925	fid=fid,
[d682c92]	926	weight=weight,
[5ef55d2]	927	state=state,
[fa65e99]	928	toggle_mode_on=toggle_mode_on,
[e3f6ef5]	929	update_chisqr=update_chisqr,
	930	source=source)
[2db1d66]	931
[922497f]	932	def onFit(self, uid):
[ca7a626]	933	"""
[2dbffcc]	934	Get series of data, model, associates parameters and range and send then
	935	to series of fit engines. Fit data and model, display result to
	936	corresponding panels.
	937	:param uid: id related to the panel currently calling this fit function.
[ca7a626]	938	"""
[31469d50]	939	flag = True
[bb18ef1]	940	## count the number of fitproblem schedule to fit
[67e258c]	941	fitproblem_count = 0
[66ff250]	942	for value in self.page_finder.values():
[67e258c]	943	if value.get_scheduled() == 1:
[bb18ef1]	944	fitproblem_count += 1
[7db52f1]	945	self._gui_engine = self._return_engine_type()
[c660493]	946	self.fitproblem_count = fitproblem_count
[67e258c]	947	if self._fit_engine == "park":
	948	engineType = "Simultaneous Fit"
[ca7a626]	949	else:
[67e258c]	950	engineType = "Single Fit"
[922497f]	951	fitter_list = []
	952	sim_fitter = None
[284f6fe]	953	is_single_fit = True
[fa02d95]	954	batch_on = False
[922497f]	955	if self.sim_page is not None and self.sim_page.uid == uid:
[284f6fe]	956	#simulatanous fit only one engine need to be created
	957	## if simultaneous fit change automatically the engine to park
	958	self._on_change_engine(engine='park')
[922497f]	959	sim_fitter = Fit(self._fit_engine)
[fa02d95]	960	sim_fitter.fitter_id = self.sim_page.uid
[922497f]	961	fitter_list.append(sim_fitter)
[284f6fe]	962	is_single_fit = False
[fa02d95]	963	batch_on = self.sim_page.batch_on
[7db52f1]	964
[284f6fe]	965
	966	self.fitproblem_count = fitproblem_count
	967	if self._fit_engine == "park":
	968	engineType = "Simultaneous Fit"
	969	else:
	970	engineType = "Single Fit"
[922497f]	971
[67e258c]	972	self.current_pg = None
[66ff250]	973	list_page_id = []
[922497f]	974	fit_id = 0
[33dd2e5]	975	batch_inputs = {}
	976	batch_outputs = {}
[66ff250]	977	for page_id, value in self.page_finder.iteritems():
[dc613d6]	978	# For simulfit (uid give with None), do for-loop
	979	# if uid is specified (singlefit), do it only on the page.
	980	if engineType == "Single Fit":
[fa02d95]	981	#combine more than 1 batch page on single mode
	982	if self.batch_page is None or self.batch_page.uid != uid:
	983	if page_id != uid:
	984	continue
[d89f09b]	985	try:
[67e258c]	986	if value.get_scheduled() == 1:
[f64a4b7]	987	value.nbr_residuals_computed = 0
[f93dfcb]	988	#Get list of parameters name to fit
[d89f09b]	989	pars = []
	990	templist = []
[66ff250]	991	page = self.fit_panel.get_page_by_id(page_id)
[7ee79cb]	992	self.set_fit_weight(uid=page.uid,
	993	flag=page.get_weight_flag(),
	994	is2d = page._is_2D())
[3b19ac9]	995	templist = page.get_param_list()
[31469d50]	996	flag = page._update_paramv_on_fit()
	997	if not flag:
	998	msg = "Fitting range or parameter values are"
	999	msg += " invalid in %s"% \
	1000	page.window_caption
	1001	wx.PostEvent(page.parent.parent,
	1002	StatusEvent(status= msg, info="error",
	1003	type="stop"))
	1004	return flag
[d89f09b]	1005	for element in templist:
[513115c]	1006	name = str(element[1])
[ca7a626]	1007	pars.append(name)
[7bd6cfae]	1008	fitproblem_list = value.values()
	1009	for fitproblem in fitproblem_list:
[922497f]	1010	if sim_fitter is None:
	1011	fitter = Fit(self._fit_engine)
[fa02d95]	1012	fitter.fitter_id = page_id
[33dd2e5]	1013	self._fit_helper(fitproblem=fitproblem,
	1014	pars=pars,
	1015	fitter=fitter,
	1016	fit_id=fit_id,
	1017	batch_inputs=batch_inputs,
	1018	batch_outputs=batch_outputs)
[922497f]	1019	fitter_list.append(fitter)
	1020	else:
	1021	fitter = sim_fitter
[33dd2e5]	1022	self._fit_helper(fitproblem=fitproblem,
	1023	pars=pars,
	1024	fitter=fitter,
	1025	fit_id=fit_id,
	1026	batch_inputs=batch_inputs,
	1027	batch_outputs=batch_outputs)
[922497f]	1028	fit_id += 1
[66ff250]	1029	list_page_id.append(page_id)
	1030	current_page_id = page_id
[922497f]	1031	value.clear_model_param()
[d89f09b]	1032	except:
[31469d50]	1033	flag = False
[ba1f0b2]	1034	msg= "%s error: %s" % (engineType, sys.exc_value)
	1035	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
	1036	type="stop"))
[31469d50]	1037	return flag
[e54d2c32]	1038	## If a thread is already started, stop it
	1039	#if self.calc_fit!= None and self.calc_fit.isrunning():
	1040	# self.calc_fit.stop()
[a2cb1f9]	1041	msg = "Fitting is in progress..."
	1042	wx.PostEvent( self.parent, StatusEvent(status=msg, type="progress" ))
	1043
	1044	#Handler used for park engine displayed message
[66ff250]	1045	handler = ConsoleUpdate(parent=self.parent,
	1046	manager=self,
	1047	improvement_delta=0.1)
[f6aee42]	1048	self._mac_sleep(0.2)
[e54d2c32]	1049	## perform single fit
[05fb6d12]	1050	try:
	1051	page = self.fit_panel.get_page_by_id(uid)
	1052	batch_on = page.batch_on
	1053	except:
[fa02d95]	1054	try:
	1055	#if the id cannot be found then we deal with a self.sim_page
	1056	#or a self.batch_page
	1057	if self.sim_page is not None and uid == self.sim_page.uid:
[7b1ca97]	1058	batch_on = self.sim_page.batch_on
[fa02d95]	1059	if self.batch_page is not None and uid == self.batch_page.uid:
[7b1ca97]	1060	batch_on = self.batch_page.batch_on
[fa02d95]	1061	except:
[7b1ca97]	1062	batch_on = False
	1063	#raise
	1064
[05fb6d12]	1065	# batch fit
	1066	if batch_on:
[91a43d0]	1067	calc_fit = FitThread(handler = handler,
[cc31608]	1068	fn=fitter_list,
[2296316]	1069	pars=pars,
[33dd2e5]	1070	batch_inputs=batch_inputs,
	1071	batch_outputs=batch_outputs,
[2296316]	1072	page_id=list_page_id,
[92a5ac92]	1073	completefn=self._batch_fit_complete,
[7db52f1]	1074	ftol=self.ftol,
	1075	reset_flag=self.batch_reset_flag)
[e54d2c32]	1076	else:
[92a5ac92]	1077	# single fit: not batch and not simul fit
	1078	if not is_single_fit:
	1079	current_page_id = self.sim_page.uid
[e54d2c32]	1080	## Perform more than 1 fit at the time
[58e0c83]	1081	calc_fit = FitThread(handler=handler,
[cc31608]	1082	fn=fitter_list,
[33dd2e5]	1083	batch_inputs=batch_inputs,
	1084	batch_outputs=batch_outputs,
[66ff250]	1085	page_id=list_page_id,
[2296316]	1086	updatefn=handler.update_fit,
[6a4002d]	1087	completefn=self._fit_completed,
[2296316]	1088	ftol=self.ftol)
[66ff250]	1089	self.fit_thread_list[current_page_id] = calc_fit
[a2cb1f9]	1090	calc_fit.queue()
[cc31608]	1091	msg = "Fitting is in progress..."
	1092	wx.PostEvent( self.parent, StatusEvent(status=msg, type="progress" ))
	1093
	1094	self.ready_fit(calc_fit=calc_fit)
[31469d50]	1095	return flag
	1096
[662da312]	1097	def ready_fit(self, calc_fit):
[c660493]	1098	"""
	1099	Ready for another fit
	1100	"""
	1101	if self.fitproblem_count != None and self.fitproblem_count > 1:
[662da312]	1102	calc_fit.ready(2.5)
[c660493]	1103	else:
	1104	time.sleep(0.4)
[2f189dc]	1105
[2dbffcc]	1106	def remove_plot(self, uid, fid=None, theory=False):
[2f189dc]	1107	"""
[5062bbf]	1108	remove model plot when a fit page is closed
[2dbffcc]	1109	:param uid: the id related to the fitpage to close
	1110	:param fid: the id of the fitproblem(data, model, range,etc)
[2f189dc]	1111	"""
[2dbffcc]	1112	if uid not in self.page_finder.keys():
	1113	return
	1114	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1115	for fitproblem in fitproblemList:
	1116	data = fitproblem.get_fit_data()
	1117	model = fitproblem.get_model()
	1118	plot_id = None
	1119	if model is not None:
[6d8bad4]	1120	plot_id = data.id + model.name
[2dbffcc]	1121	if theory:
	1122	plot_id = data.id
	1123	group_id = data.group_id
	1124	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
	1125	group_id=group_id,
	1126	action='remove'))
[edcbd467]	1127
[2dbffcc]	1128	def store_data(self, uid, data_list=None, caption=None):
[31b0c47]	1129	"""
[2dbffcc]	1130	Recieve a list of data and store them ans well as a caption of
	1131	the fit page where they come from.
	1132	:param uid: if related to a fit page
	1133	:param data_list: list of data to fit
	1134	:param caption: caption of the window related to these data
[31b0c47]	1135	"""
[cc31608]	1136	if data_list is None:
	1137	data_list = []
[f7ef313]	1138
[2dbffcc]	1139	self.page_finder[uid].set_fit_data(data=data_list)
	1140	if caption is not None:
	1141	self.page_finder[uid].set_fit_tab_caption(caption=caption)
[f7ef313]	1142
[6bbeacd4]	1143	def on_add_new_page(self, event=None):
[edcbd467]	1144	"""
[6bbeacd4]	1145	ask fit panel to create a new empty page
[edcbd467]	1146	"""
	1147	try:
[6bbeacd4]	1148	page = self.fit_panel.add_empty_page()
[2dbffcc]	1149	page_caption = page.window_caption
[6450d8c]	1150	# add data associated to the page created
	1151	if page != None:
[f304194]	1152	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
[31b0c47]	1153	info="info"))
[edcbd467]	1154	else:
[f304194]	1155	msg = "Page was already Created"
[a0da535]	1156	wx.PostEvent(self.parent, StatusEvent(status=msg,
	1157	info="warning"))
[1b1bbf9]	1158	self.set_top_panel()
[edcbd467]	1159	except:
[2dbffcc]	1160	msg = "Creating Fit page: %s"%sys.exc_value
	1161	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
[6bbeacd4]	1162
	1163	def add_fit_page(self, data):
	1164	"""
	1165	given a data, ask to the fitting panel to create a new fitting page,
	1166	get this page and store it into the page_finder of this plug-in
[2dbffcc]	1167	:param data: is a list of data
[6bbeacd4]	1168	"""
	1169	page = self.fit_panel.set_data(data)
[7f76f89]	1170	# page could be None when loading state files
	1171	if page == None:
	1172	return page
[2dbffcc]	1173	page_caption = page.window_caption
[6bbeacd4]	1174	#append Data1D to the panel containing its theory
	1175	#if theory already plotted
[66ff250]	1176	if page.uid in self.page_finder:
[cc31608]	1177	data = page.get_data()
[2dbffcc]	1178	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
[6bbeacd4]	1179	if issubclass(data.__class__, Data2D):
[e88ebfd]	1180	data.group_id = wx.NewId()
[a5701e6]	1181	if theory_data is not None:
[66ff250]	1182	group_id = str(page.uid) + " Model1D"
[a5701e6]	1183	wx.PostEvent(self.parent,
	1184	NewPlotEvent(group_id=group_id,
	1185	action="delete"))
[0fd2f27]	1186	self.parent.update_data(prev_data=theory_data,
	1187	new_data=data)
[6bbeacd4]	1188	else:
	1189	if theory_data is not None:
[66ff250]	1190	group_id = str(page.uid) + " Model2D"
[e88ebfd]	1191	data.group_id = theory_data.group_id
[a5701e6]	1192	wx.PostEvent(self.parent,
	1193	NewPlotEvent(group_id=group_id,
	1194	action="delete"))
[0fd2f27]	1195	self.parent.update_data(prev_data=theory_data,
	1196	new_data=data)
[2dbffcc]	1197	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	1198	caption=page.window_caption)
[33dd2e5]	1199	if self.sim_page is not None and not self.batch_on:
[6bbeacd4]	1200	self.sim_page.draw_page()
[fa02d95]	1201	if self.batch_page is not None and self.batch_on:
	1202	self.batch_page.draw_page()
	1203
[1b1bbf9]	1204	return page
[6bbeacd4]	1205
[848a2ef]	1206	def _onEVT_SLICER_PANEL(self, event):
	1207	"""
[5062bbf]	1208	receive and event telling to update a panel with a name starting with
[2e08a9f]	1209	event.panel_name. this method update slicer panel
	1210	for a given interactor.
[5062bbf]	1211
[2e08a9f]	1212	:param event: contains type of slicer , paramaters for updating
	1213	the panel and panel_name to find the slicer 's panel concerned.
[848a2ef]	1214	"""
	1215	for item in self.parent.panels:
[0fd2f27]	1216	name = event.panel_name
	1217	if self.parent.panels[item].window_caption.startswith(name):
[848a2ef]	1218	self.parent.panels[item].set_slicer(event.type, event.params)
[df4c3ad]	1219
	1220	self.parent._mgr.Update()
[b324aa9]	1221
[848a2ef]	1222	def _closed_fitpage(self, event):
	1223	"""
[5062bbf]	1224	request fitpanel to close a given page when its unique data is removed
	1225	from the plot. close fitpage only when the a loaded data is removed
[848a2ef]	1226	"""
[784e2fa]	1227	if event is None or event.data is None:
	1228	return
	1229	if hasattr(event.data,"is_data"):
[a0da535]	1230	if not event.data.is_data or \
[66ff250]	1231	event.data.__class__.__name__ == "Data1D":
[784e2fa]	1232	self.fit_panel.close_page_with_data(event.data)
[2dbffcc]	1233
[dc613d6]	1234	def _reset_schedule_problem(self, value=0, uid=None):
[6f023e8]	1235	"""
[5062bbf]	1236	unschedule or schedule all fitproblem to be fit
[6f023e8]	1237	"""
[dc613d6]	1238	# case that uid is not specified
	1239	if uid == None:
	1240	for page_id in self.page_finder.keys():
	1241	self.page_finder[page_id].schedule_tofit(value)
	1242	# when uid is given
	1243	else:
[2dbffcc]	1244	if uid in self.page_finder.keys():
	1245	self.page_finder[uid].schedule_tofit(value)
[dc613d6]	1246
[33dd2e5]	1247	def _fit_helper(self, fitproblem, pars, fitter, fit_id,
	1248	batch_inputs, batch_outputs):
[2140e68]	1249	"""
[2dbffcc]	1250	Create and set fit engine with series of data and model
	1251	:param pars: list of fittable parameters
	1252	:param fitter_list: list of fit engine
	1253	:param value: structure storing data mapped to their model, range etc..
[2140e68]	1254	"""
[922497f]	1255	data = fitproblem.get_fit_data()
	1256	model = fitproblem.get_model()
	1257	smearer = fitproblem.get_smearer()
	1258	qmin, qmax = fitproblem.get_range()
[29a4024]	1259
[922497f]	1260	#Extra list of parameters and their constraints
	1261	listOfConstraint = []
	1262	param = fitproblem.get_model_param()
	1263	if len(param) > 0:
	1264	for item in param:
	1265	## check if constraint
	1266	if item[0] != None and item[1] != None:
	1267	listOfConstraint.append((item[0],item[1]))
[29a4024]	1268	new_model = model#deepcopy(model)
[41661a0]	1269	fitter.set_model(new_model, fit_id, pars, data=data,
	1270	constraints=listOfConstraint)
[922497f]	1271	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
	1272	qmax=qmax)
	1273	fitter.select_problem_for_fit(id=fit_id, value=1)
[7bd6cfae]	1274
[33dd2e5]	1275
[c77d859]	1276	def _onSelect(self,event):
	1277	"""
[5062bbf]	1278	when Select data to fit a new page is created .Its reference is
	1279	added to self.page_finder
[d89f09b]	1280	"""
[c77d859]	1281	self.panel = event.GetEventObject()
[67e258c]	1282	Plugin.on_perspective(self, event=event)
[5e48acb]	1283	self.select_data(self.panel)
	1284
	1285	def select_data(self, panel):
	1286	"""
	1287	"""
	1288	self.panel = panel
[6ed82c7]	1289	for plottable in self.panel.graph.plottables:
[2fff4db]	1290	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
[3831ea1e]	1291	data_id = self.panel.graph.selected_plottable
	1292	if plottable == self.panel.plots[data_id]:
[6bbeacd4]	1293	data = plottable
[cc31608]	1294	self.add_fit_page(data=[data])
[edcbd467]	1295	return
[c77d859]	1296	else:
[6bbeacd4]	1297	data = plottable
[cc31608]	1298	self.add_fit_page(data=[data])
[1b1bbf9]	1299	self.set_top_panel()
[1c1436d]	1300
[66ff250]	1301	def update_fit(self, result=None, msg=""):
	1302	"""
	1303	"""
	1304	print "update_fit result", result
	1305
[41661a0]	1306
[92a5ac92]	1307	def _batch_fit_complete(self, result, pars, page_id,
[33dd2e5]	1308	batch_outputs, batch_inputs, elapsed=None):
[cc31608]	1309	"""
[2dbffcc]	1310	Display fit result in batch
	1311	:param result: list of objects received fromt fit engines
	1312	:param pars: list of fitted parameters names
	1313	:param page_id: list of page ids which called fit function
	1314	:param elapsed: time spent at the fitting level
[cc31608]	1315	"""
[92a5ac92]	1316	self._mac_sleep(0.2)
	1317	uid = page_id[0]
	1318	if uid in self.fit_thread_list.keys():
	1319	del self.fit_thread_list[uid]
	1320
[cc31608]	1321	self._update_fit_button(page_id)
[2bb37c3]	1322	t1 = time.time()
	1323	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1324	msg = "Fit completed on %s \n" % str_time
	1325	msg += "Duration time: %s s.\n" % str(elapsed)
[cc31608]	1326	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
	1327	type="stop"))
[fa02d95]	1328
[33dd2e5]	1329	if batch_outputs is None:
	1330	batch_outputs = {}
[fa02d95]	1331
	1332	# format batch_outputs
	1333	batch_outputs["Chi2"] = []
	1334	#Don't like these loops
	1335	# Need to create dictionary of all fitted parameters
	1336	# since the number of parameters can differ between each fit result
	1337	for list_res in result:
	1338	for res in list_res:
	1339	model, data = res.inputs[0]
	1340	if model is not None and hasattr(model, "model"):
	1341	model = model.model
	1342	#get all fittable parameters of the current model
	1343	for param in model.getParamList():
	1344	if param not in batch_outputs.keys():
	1345	batch_outputs[param] = []
	1346	for param in model.getDispParamList():
	1347	if not model.is_fittable(param) and \
	1348	param in batch_outputs.keys():
	1349	del batch_outputs[param]
	1350	# Add fitted parameters and their error
	1351	for param in res.param_list:
	1352	if param not in batch_outputs.keys():
	1353	batch_outputs[param] = []
	1354	err_param = "error on %s" % str(param)
	1355	if err_param not in batch_inputs.keys():
	1356	batch_inputs[err_param] = []
	1357	msg = ""
	1358	for list_res in result:
	1359	for res in list_res:
	1360	pid = res.fitter_id
	1361	model, data = res.inputs[0]
	1362	correct_result = False
	1363	if model is not None and hasattr(model, "model"):
	1364	model = model.model
	1365	if data is not None and hasattr(data, "sans_data"):
	1366	data = data.sans_data
	1367
	1368	is_data2d = issubclass(data.__class__, Data2D)
	1369	#check consistency of arrays
	1370	if not is_data2d:
	1371	if len(res.theory) == len(res.index[res.index]) and \
	1372	len(res.index) == len(data.y):
[46c4ccb]	1373	correct_result = True
[fa02d95]	1374	else:
	1375	copy_data = deepcopy(data)
	1376	new_theory = copy_data.data
	1377	new_theory[res.index] = res.theory
	1378	new_theory[res.index == False] = numpy.nan
	1379	correct_result = True
	1380	#get all fittable parameters of the current model
	1381	param_list = model.getParamList()
	1382	for param in model.getDispParamList():
	1383	if not model.is_fittable(param) and \
	1384	param in param_list:
	1385	param_list.remove(param)
	1386	if not correct_result or res.fitness is None or \
	1387	not numpy.isfinite(res.fitness) or \
	1388	numpy.any(res.pvec == None) or not \
	1389	numpy.all(numpy.isfinite(res.pvec)):
	1390	data_name = str(None)
	1391	if data is not None:
	1392	data_name = str(data.name)
	1393	model_name = str(None)
	1394	if model is not None:
	1395	model_name = str(model.name)
	1396	msg += "Data %s and Model %s did not fit.\n" % (data_name,
	1397	model_name)
	1398	ERROR = numpy.NAN
	1399	cell = BatchCell()
	1400	cell.label = res.fitness
	1401	cell.value = res.fitness
	1402	batch_outputs["Chi2"].append(ERROR)
	1403	for param in param_list:
	1404	# save value of fixed parameters
	1405	if param not in res.param_list:
	1406	batch_outputs[str(param)].append(ERROR)
	1407	else:
[4a52223]	1408	#save only fitted values
[fa02d95]	1409	batch_outputs[param].append(ERROR)
	1410	batch_inputs["error on %s" % str(param)].append(ERROR)
	1411	else:
[26e1001]	1412	# ToDo: Why sometimes res.pvec comes with numpy.float64?
	1413	# Need to fix it within ScipyEngine
	1414	if res.pvec.__class__== numpy.float64:
	1415	res.pvec = [res.pvec]
	1416
[fa02d95]	1417	cell = BatchCell()
	1418	cell.label = res.fitness
	1419	cell.value = res.fitness
	1420	batch_outputs["Chi2"].append(cell)
	1421	# add parameters to batch_results
	1422	for param in param_list:
	1423	# save value of fixed parameters
	1424	if param not in res.param_list:
	1425	batch_outputs[str(param)].append(model.getParam(param))
	1426	else:
	1427	index = res.param_list.index(param)
[47d9be79]	1428	#save only fitted values
[fa02d95]	1429	batch_outputs[param].append(res.pvec[index])
	1430	if res.stderr is not None and \
	1431	len(res.stderr) == len(res.param_list):
[15f68ce]	1432	item = res.stderr[index]
[fa02d95]	1433	batch_inputs["error on %s" % param].append(item)
[356d2d3]	1434	else:
	1435	batch_inputs["error on %s" % param].append('-')
[fa02d95]	1436	model.setParam(param, res.pvec[index])
	1437	#fill the batch result with emtpy value if not in the current
	1438	#model
	1439	EMPTY = "-"
	1440	for key in batch_outputs.keys():
	1441	if key not in param_list and key not in ["Chi2", "Data"]:
	1442	batch_outputs[key].append(EMPTY)
[98fdccd]	1443	#for key in batch_inputs.keys():
	1444	#if key not in param_list and key not in ["Chi2", "Data"]:
	1445	#batch_inputs[key].append(EMPTY)
[fa02d95]	1446
	1447	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
	1448	batch_outputs=batch_outputs)
	1449
	1450	cpage = self.fit_panel.get_page_by_id(pid)
	1451	cpage._on_fit_complete()
	1452	self.page_finder[pid][data.id].set_result(res)
	1453	fitproblem = self.page_finder[pid][data.id]
	1454	qmin, qmax = fitproblem.get_range()
[278b995]	1455	plot_result = False
	1456	if correct_result and plot_result:
[fa02d95]	1457	if not is_data2d:
	1458	self._complete1D(x=data.x, y=res.theory, page_id=pid,
	1459	elapsed=None,
	1460	index=res.index, model=model,
	1461	weight=None, fid=data.id,
	1462	toggle_mode_on=False, state=None,
	1463	data=data, update_chisqr=False,
	1464	source='fit')
	1465	else:
	1466	self._complete2D(image=new_theory, data=data,
	1467	model=model,
	1468	page_id=pid, elapsed=None,
	1469	index=res.index,
	1470	qmin=qmin,
	1471	qmax=qmax, fid=data.id, weight=None,
	1472	toggle_mode_on=False, state=None,
	1473	update_chisqr=False,
	1474	source='fit')
	1475	self.on_set_batch_result(page_id=pid,
	1476	fid=data.id,
	1477	batch_outputs=batch_outputs,
	1478	batch_inputs=batch_inputs)
[4a52223]	1479
[7643ba2]	1480	wx.PostEvent(self.parent, StatusEvent(status=msg, error="error",
	1481	type="stop"))
[1ac202f]	1482	# Remove parameters that are not shown
	1483	cpage = self.fit_panel.get_page_by_id(uid)
	1484	tbatch_outputs = {}
	1485	shownkeystr = cpage.get_copy_params()
	1486	for key in batch_outputs.keys():
	1487	if key in ["Chi2", "Data"] or shownkeystr.count(key)>0:
	1488	tbatch_outputs[key] = batch_outputs[key]
	1489
	1490	wx.CallAfter(self.parent.on_set_batch_result,tbatch_outputs,
[92a5ac92]	1491	batch_inputs,
	1492	self.sub_menu)
	1493
[f64a4b7]	1494	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1495	"""
	1496	"""
	1497
	1498	pid = page_id
	1499	if fid not in self.page_finder[pid]:
	1500	return
	1501	fitproblem = self.page_finder[pid][fid]
	1502	index = self.page_finder[pid].nbr_residuals_computed - 1
	1503	residuals = fitproblem.get_residuals()
	1504	theory_data = fitproblem.get_theory_data()
	1505	data = fitproblem.get_fit_data()
	1506	model = fitproblem.get_model()
	1507	#fill batch result information
	1508	if "Data" not in batch_outputs.keys():
	1509	batch_outputs["Data"] = []
	1510	from sans.guiframe.data_processor import BatchCell
[ec9a635]	1511	cell = BatchCell()
	1512	cell.label = data.name
	1513	cell.value = index
[6b3edc1]	1514
[ec9a635]	1515	if theory_data != None:
[6b3edc1]	1516	#Suucessful fit
	1517	theory_data.id = wx.NewId()
[b5fe787]	1518	theory_data.name = model.name + "[%s]" % str(data.name)
[e80e704]	1519	if issubclass(theory_data.__class__, Data2D):
	1520	group_id = wx.NewId()
	1521	theory_data.group_id = group_id
	1522	if group_id not in theory_data.list_group_id:
	1523	theory_data.list_group_id.append(group_id)
	1524
[ec9a635]	1525	try:
	1526	# associate residuals plot
[e80e704]	1527	if issubclass(residuals.__class__, Data2D):
	1528	group_id = wx.NewId()
	1529	residuals.group_id = group_id
	1530	if group_id not in residuals.list_group_id:
	1531	residuals.list_group_id.append(group_id)
[ec9a635]	1532	batch_outputs["Chi2"][index].object = [residuals]
	1533	except:
	1534	pass
	1535
	1536	cell.object = [data, theory_data]
	1537	batch_outputs["Data"].append(cell)
	1538	for key, value in data.meta_data.iteritems():
	1539	if key not in batch_inputs.keys():
	1540	batch_inputs[key] = []
[98fdccd]	1541	#if key.lower().strip() != "loader":
	1542	batch_inputs[key].append(value)
[ec9a635]	1543	param = "temperature"
	1544	if hasattr(data.sample, param):
	1545	if param not in batch_inputs.keys():
	1546	batch_inputs[param] = []
	1547	batch_inputs[param].append(data.sample.temperature)
	1548
[6b3edc1]	1549
[6a4002d]	1550	def _fit_completed(self, result, page_id, batch_outputs,
[33dd2e5]	1551	batch_inputs=None,
	1552	pars=None,
[8aa5788]	1553	elapsed=None):
[c77d859]	1554	"""
[2dbffcc]	1555	Display result of the fit on related panel(s).
	1556	:param result: list of object generated when fit ends
	1557	:param pars: list of names of parameters fitted
	1558	:param page_id: list of page ids which called fit function
	1559	:param elapsed: time spent at the fitting level
[c77d859]	1560	"""
[2bb37c3]	1561	t1 = time.time()
	1562	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1563	msg = "Fit completed on %s \n" % str_time
	1564	msg += "Duration time: %s s.\n" % str(elapsed)
	1565	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
	1566	type="stop"))
[bb8a180]	1567	# reset fit_engine if changed by simul_fit
	1568	if self._fit_engine != self._gui_engine:
	1569	self._on_change_engine(self._gui_engine)
[2bb37c3]	1570	self._update_fit_button(page_id)
[922497f]	1571	result = result[0]
[dc613d6]	1572	self.fit_thread_list = {}
[66ff250]	1573	if page_id is None:
	1574	page_id = []
[ca7a626]	1575	## fit more than 1 model at the same time
[f6aee42]	1576	self._mac_sleep(0.2)
[ca7a626]	1577	try:
[6a4002d]	1578	index = 0
	1579	for uid in page_id:
	1580	res = result[index]
[7643ba2]	1581	if res.fitness is None or \
[6a4002d]	1582	not numpy.isfinite(res.fitness) or \
	1583	numpy.any(res.pvec == None) or \
	1584	not numpy.all(numpy.isfinite(res.pvec)):
	1585	msg = "Fitting did not converge!!!"
	1586	wx.PostEvent(self.parent,
	1587	StatusEvent(status=msg,
	1588	info="warning",
	1589	type="stop"))
	1590	self._update_fit_button(page_id)
	1591	else:
[0438933]	1592	#set the panel when fit result are float not list
	1593	if res.pvec.__class__== numpy.float64:
	1594	pvec = [res.pvec]
	1595	else:
	1596	pvec = res.pvec
	1597	if res.stderr.__class__== numpy.float64:
	1598	stderr = [res.stderr]
	1599	else:
	1600	stderr = res.stderr
[7643ba2]	1601	cpage = self.fit_panel.get_page_by_id(uid)
	1602	# Make sure we got all results
	1603	#(CallAfter is important to MAC)
[8b1d759]	1604	try:
	1605	#if res != None:
	1606	wx.CallAfter(cpage.onsetValues, res.fitness, res.param_list,
	1607	pvec, stderr)
	1608	index += 1
	1609	wx.CallAfter(cpage._on_fit_complete)
	1610	except:
[2d0756a5]	1611	msg = "Singular point: Fitting Error occurred."
[8b1d759]	1612	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
	1613	type="stop"))
	1614
[6a4002d]	1615	except:
[d7345b71]	1616	msg = "Fit completed but Following"
[6a4002d]	1617	msg += " error occurred:%s" % sys.exc_value
[2296316]	1618	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
	1619	type="stop"))
[6a4002d]	1620
[12cd4ec]	1621	def _update_fit_button(self, page_id):
	1622	"""
	1623	Update Fit button when fit stopped
	1624
	1625	: parameter page_id: fitpage where the button is
	1626	"""
[37290c4]	1627	if page_id.__class__.__name__ != 'list':
	1628	page_id = [page_id]
[12cd4ec]	1629	for uid in page_id:
	1630	page = self.fit_panel.get_page_by_id(uid)
	1631	page._on_fit_complete()
	1632
[c77d859]	1633	def _on_show_panel(self, event):
[5062bbf]	1634	"""
	1635	"""
	1636	pass
[da6fd1a]	1637
	1638	def on_reset_batch_flag(self, event):
	1639	"""
	1640	Set batch_reset_flag
	1641	"""
	1642	event.Skip()
[dafc36f]	1643	if self.menu1 == None:
	1644	return
[da6fd1a]	1645	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1646	flag = menu_item.IsChecked()
	1647	if not flag:
	1648	menu_item.Check(False)
	1649	self.batch_reset_flag = True
	1650	else:
	1651	menu_item.Check(True)
	1652	self.batch_reset_flag = False
[5062bbf]	1653
[da6fd1a]	1654	## post a message to status bar
	1655	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
	1656	wx.PostEvent(self.parent,
	1657	StatusEvent(status=msg))
	1658
[c77d859]	1659	def _onset_engine_park(self,event):
	1660	"""
[5062bbf]	1661	set engine to park
[c77d859]	1662	"""
	1663	self._on_change_engine('park')
	1664
	1665	def _onset_engine_scipy(self,event):
	1666	"""
[5062bbf]	1667	set engine to scipy
[c77d859]	1668	"""
	1669	self._on_change_engine('scipy')
	1670
	1671	def _on_slicer_event(self, event):
	1672	"""
[5062bbf]	1673	Receive a panel as event and send it to guiframe
	1674
	1675	:param event: event containing a panel
	1676
[c77d859]	1677	"""
[5062bbf]	1678	if event.panel is not None:
[c77d859]	1679	new_panel = event.panel
[c3435b7f]	1680	self.slicer_panels.append(event.panel)
[c77d859]	1681	# Set group ID if available
	1682	event_id = self.parent.popup_panel(new_panel)
	1683	new_panel.uid = event_id
	1684	self.mypanels.append(new_panel)
[5062bbf]	1685
[848a2ef]	1686	def _onclearslicer(self, event):
	1687	"""
[5062bbf]	1688	Clear the boxslicer when close the panel associate with this slicer
[848a2ef]	1689	"""
[df4c3ad]	1690	name =event.GetPane().caption
[c3435b7f]	1691
	1692	for panel in self.slicer_panels:
	1693	if panel.window_caption==name:
	1694
[df4c3ad]	1695	for item in self.parent.panels:
[2dbffcc]	1696	if hasattr(self.parent.panels[item], "uid"):
[c3435b7f]	1697	if self.parent.panels[item].uid ==panel.base.uid:
[df4c3ad]	1698	self.parent.panels[item].onClearSlicer(event)
	1699	self.parent._mgr.Update()
	1700	break
[c3435b7f]	1701	break
[5062bbf]	1702
[707436d]	1703	def _return_engine_type(self):
	1704	"""
[5062bbf]	1705	return the current type of engine
[707436d]	1706	"""
	1707	return self._fit_engine
	1708
	1709
[c77d859]	1710	def _on_change_engine(self, engine='park'):
	1711	"""
[5062bbf]	1712	Allow to select the type of engine to perform fit
	1713
	1714	:param engine: the key work of the engine
	1715
[c77d859]	1716	"""
[77e23a2]	1717	## saving fit engine name
[c77d859]	1718	self._fit_engine = engine
[707436d]	1719	## change menu item state
[2dbffcc]	1720	if engine == "park":
[0b6ae5f]	1721	self.menu1.FindItemById(self.park_id).Check(True)
	1722	self.menu1.FindItemById(self.scipy_id).Check(False)
[707436d]	1723	else:
[0b6ae5f]	1724	self.menu1.FindItemById(self.park_id).Check(False)
	1725	self.menu1.FindItemById(self.scipy_id).Check(True)
[77e23a2]	1726	## post a message to status bar
[a0da535]	1727	msg = "Engine set to: %s" % self._fit_engine
	1728	wx.PostEvent(self.parent,
	1729	StatusEvent(status=msg))
[66ff250]	1730	## send the current engine type to fitpanel
	1731	self.fit_panel._on_engine_change(name=self._fit_engine)
[dc613d6]	1732
[77e23a2]	1733
[c77d859]	1734	def _on_model_panel(self, evt):
	1735	"""
[5062bbf]	1736	react to model selection on any combo box or model menu.plot the model
	1737
	1738	:param evt: wx.combobox event
	1739
[c77d859]	1740	"""
	1741	model = evt.model
[66ff250]	1742	uid = evt.uid
[6bbeacd4]	1743	qmin = evt.qmin
	1744	qmax = evt.qmax
	1745	smearer = evt.smearer
[2dbffcc]	1746	caption = evt.caption
	1747	enable_smearer = evt.enable_smearer
[9237df4]	1748	if model == None:
[c77d859]	1749	return
[2dbffcc]	1750	if uid not in self.page_finder.keys():
	1751	return
[6bbeacd4]	1752	# save the name containing the data name with the appropriate model
[66ff250]	1753	self.page_finder[uid].set_model(model)
[2dbffcc]	1754	self.page_finder[uid].enable_smearing(enable_smearer)
[66ff250]	1755	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
[2dbffcc]	1756	self.page_finder[uid].set_fit_tab_caption(caption=caption)
[33dd2e5]	1757	if self.sim_page is not None and not self.batch_on:
[6bbeacd4]	1758	self.sim_page.draw_page()
[fa02d95]	1759	if self.batch_page is not None and self.batch_on:
	1760	self.batch_page.draw_page()
[5062bbf]	1761
[2dbffcc]	1762	def _update1D(self, x, output):
[bb18ef1]	1763	"""
[5062bbf]	1764	Update the output of plotting model 1D
[bb18ef1]	1765	"""
[58e0c83]	1766	msg = "Plot updating ... "
	1767	wx.PostEvent(self.parent, StatusEvent(status=msg,type="update"))
[e575db9]	1768
[ad3fa1e]	1769	def _complete1D(self, x, y, page_id, elapsed, index, model,
[f64a4b7]	1770	weight=None, fid=None,
[ad3fa1e]	1771	toggle_mode_on=False, state=None,
[e3f6ef5]	1772	data=None, update_chisqr=True, source='model'):
[c77d859]	1773	"""
[5062bbf]	1774	Complete plotting 1D data
[c77d859]	1775	"""
	1776	try:
[1ec979d]	1777	numpy.nan_to_num(y)
	1778
[6bbeacd4]	1779	new_plot = Data1D(x=x, y=y)
[dce84c0]	1780	new_plot.is_data = False
[55d2f7e]	1781	new_plot.dy = numpy.zeros(len(y))
[6bbeacd4]	1782	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
[2dbffcc]	1783	_yaxis, _yunit = data.get_yaxis()
	1784	_xaxis, _xunit = data.get_xaxis()
	1785	new_plot.title = data.name
[5e48acb]	1786
[e288ad0]	1787	new_plot.group_id = data.group_id#self.page_finder[page_id].get_graph_id()
[5e48acb]	1788	if new_plot.group_id == None:
	1789	new_plot.group_id = data.group_id
[2ee5c61]	1790	new_plot.id = str(page_id) + "model-" + data.name
[a582d28]	1791	#if new_plot.id in self.color_dict:
	1792	# new_plot.custom_color = self.color_dict[new_plot.id]
[6bbeacd4]	1793	#find if this theory was already plotted and replace that plot given
	1794	#the same id
[2dbffcc]	1795	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
[71e5c11]	1796
	1797	if data.is_data:
	1798	data_name = str(data.name)
	1799	else:
	1800	data_name = str(model.__class__.__name__)
	1801
	1802	new_plot.name = model.name + " ["+ data_name +"]"
[6bbeacd4]	1803	new_plot.xaxis(_xaxis, _xunit)
	1804	new_plot.yaxis(_yaxis, _yunit)
[2e08a9f]	1805	self.page_finder[page_id].set_theory_data(data=new_plot,
	1806	fid=data.id)
[2dbffcc]	1807	self.parent.update_theory(data_id=data.id, theory=new_plot,
[bdd3739]	1808	state=state)
[66ff250]	1809	current_pg = self.fit_panel.get_page_by_id(page_id)
[ae4ade7]	1810	title = new_plot.title
[eb4f2fd]	1811	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1812	if not batch_on:
	1813	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[2dbffcc]	1814	title=str(title)))
[90a2358]	1815	else:
	1816	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1817	if data.id == top_data_id:
	1818	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1819	title=str(title)))
[2dbffcc]	1820	caption = current_pg.window_caption
	1821	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
[7643ba2]	1822
[2dbffcc]	1823	self.page_finder[page_id].set_theory_data(data=new_plot,
	1824	fid=data.id)
	1825	if toggle_mode_on:
	1826	wx.PostEvent(self.parent,
	1827	NewPlotEvent(group_id=str(page_id) + " Model2D",
	1828	action="Hide"))
[2296316]	1829	else:
[2dbffcc]	1830	if update_chisqr:
	1831	wx.PostEvent(current_pg,
[2e08a9f]	1832	Chi2UpdateEvent(output=self._cal_chisqr(
	1833	data=data,
[f64a4b7]	1834	fid=fid,
[62f851f]	1835	weight=weight,
[2dbffcc]	1836	page_id=page_id,
	1837	index=index)))
	1838	else:
[f64a4b7]	1839	self._plot_residuals(page_id=page_id, data=data, fid=fid,
[62f851f]	1840	index=index, weight=weight)
[cfbd06a]	1841
[d522635]	1842	msg = "Computation completed!"
[a0da535]	1843	wx.PostEvent( self.parent, StatusEvent(status=msg, type="stop" ))
[c77d859]	1844	except:
[6bbeacd4]	1845	raise
	1846	#msg = " Error occurred when drawing %s Model 1D: " % new_plot.name
	1847	#msg += " %s" % sys.exc_value
	1848	#wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[5062bbf]	1849
[c77d859]	1850	def _update2D(self, output,time=None):
	1851	"""
[5062bbf]	1852	Update the output of plotting model
[c77d859]	1853	"""
[58e0c83]	1854	wx.PostEvent(self.parent, StatusEvent(status="Plot \
[a0da535]	1855	#updating ... ", type="update"))
[a2cb1f9]	1856	#self.ready_fit()
[58e0c83]	1857
[66ff250]	1858	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
[f64a4b7]	1859	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
[e3f6ef5]	1860	update_chisqr=True, source='model'):
[c77d859]	1861	"""
[5062bbf]	1862	Complete get the result of modelthread and create model 2D
	1863	that can be plot.
[c77d859]	1864	"""
[1ec979d]	1865	numpy.nan_to_num(image)
[2dbffcc]	1866	new_plot= Data2D(image=image, err_image=data.err_data)
[fa65e99]	1867	new_plot.name = model.name
[818589a]	1868	new_plot.title = "Analytical model 2D "
[2ee5c61]	1869	new_plot.id = str(page_id) + "model-" + data.name
[f3242cf]	1870	new_plot.group_id = str(page_id) + " Model2D"
[2dbffcc]	1871	new_plot.detector = data.detector
	1872	new_plot.source = data.source
	1873	new_plot.is_data = False
	1874	new_plot.qx_data = data.qx_data
	1875	new_plot.qy_data = data.qy_data
	1876	new_plot.q_data = data.q_data
	1877	new_plot.mask = data.mask
	1878	## plot boundaries
	1879	new_plot.ymin = data.ymin
	1880	new_plot.ymax = data.ymax
	1881	new_plot.xmin = data.xmin
	1882	new_plot.xmax = data.xmax
	1883	title = data.title
[71e5c11]	1884
[dce84c0]	1885	new_plot.is_data = False
[71e5c11]	1886	if data.is_data:
	1887	data_name = str(data.name)
	1888	else:
	1889	data_name = str(model.__class__.__name__)
	1890
	1891	if len(title) > 1:
	1892	new_plot.title = "Model2D for " + data_name
[53cf669]	1893	new_plot.name = model.name + " [" + \
[71e5c11]	1894	data_name + "-2D]"
[fa65e99]	1895	theory_data = deepcopy(new_plot)
[5ef55d2]	1896	theory_data.name = "Unknown"
[6bbeacd4]	1897
[2dbffcc]	1898	self.page_finder[page_id].set_theory_data(data=theory_data, fid=data.id)
	1899	self.parent.update_theory(data_id=data.id,
[05319e2]	1900	theory=new_plot,
[e88ebfd]	1901	state=state)
[66ff250]	1902	current_pg = self.fit_panel.get_page_by_id(page_id)
[ae4ade7]	1903	title = new_plot.title
[763bec8]	1904	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
[e3f6ef5]	1905	if not source == 'fit':
[763bec8]	1906	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[ae4ade7]	1907	title=title))
[2dbffcc]	1908	self.page_finder[page_id].set_theory_data(data=new_plot, fid=data.id)
	1909	if toggle_mode_on:
	1910	wx.PostEvent(self.parent,
	1911	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1912	action="Hide"))
[2296316]	1913	else:
[2dbffcc]	1914	# Chisqr in fitpage
	1915	if update_chisqr:
	1916	wx.PostEvent(current_pg,
	1917	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
[62f851f]	1918	weight=weight,
[f64a4b7]	1919	fid=fid,
[2dbffcc]	1920	page_id=page_id,
	1921	index=index)))
	1922	else:
[f64a4b7]	1923	self._plot_residuals(page_id=page_id, data=data, fid=fid,
[62f851f]	1924	index=index, weight=weight)
[d522635]	1925	msg = "Computation completed!"
[a0da535]	1926	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[6bbeacd4]	1927
[2dbffcc]	1928	def _draw_model2D(self, model, page_id, qmin,
	1929	qmax,
	1930	data=None, smearer=None,
[a0da535]	1931	description=None, enable2D=False,
[5ef55d2]	1932	state=None,
[f64a4b7]	1933	fid=None,
[62f851f]	1934	weight=None,
[fa65e99]	1935	toggle_mode_on=False,
[e3f6ef5]	1936	update_chisqr=True, source='model'):
[f93dfcb]	1937	"""
[5062bbf]	1938	draw model in 2D
	1939
	1940	:param model: instance of the model to draw
	1941	:param description: the description of the model
	1942	:param enable2D: when True allows to draw model 2D
	1943	:param qmin: the minimum value to draw model 2D
	1944	:param qmax: the maximum value to draw model 2D
	1945	:param qstep: the number of division of Qx and Qy of the model to draw
[f93dfcb]	1946
	1947	"""
[c77d859]	1948	if not enable2D:
[2dbffcc]	1949	return None
[c77d859]	1950	try:
	1951	from model_thread import Calc2D
	1952	## If a thread is already started, stop it
[a0da535]	1953	if (self.calc_2D is not None) and self.calc_2D.isrunning():
[c77d859]	1954	self.calc_2D.stop()
[2dbffcc]	1955	self.calc_2D = Calc2D(model=model,
[a0da535]	1956	data=data,
[66ff250]	1957	page_id=page_id,
[a0da535]	1958	smearer=smearer,
	1959	qmin=qmin,
	1960	qmax=qmax,
[62f851f]	1961	weight=weight,
[f64a4b7]	1962	fid=fid,
[fa65e99]	1963	toggle_mode_on=toggle_mode_on,
[5ef55d2]	1964	state=state,
[2296316]	1965	completefn=self._complete2D,
[e3f6ef5]	1966	update_chisqr=update_chisqr, source=source)
[c77d859]	1967	self.calc_2D.queue()
[f72333f]	1968
[c77d859]	1969	except:
[6bbeacd4]	1970	raise
	1971	#msg = " Error occurred when drawing %s Model 2D: " % model.name
	1972	#msg += " %s" % sys.exc_value
	1973	#wx.PostEvent(self.parent, StatusEvent(status=msg))
[f72333f]	1974
[2dbffcc]	1975	def _draw_model1D(self, model, page_id, data,
	1976	qmin, qmax, smearer=None,
[5ef55d2]	1977	state=None,
[62f851f]	1978	weight=None,
[f64a4b7]	1979	fid=None,
[e3f6ef5]	1980	toggle_mode_on=False, update_chisqr=True, source='model',
[2296316]	1981	enable1D=True):
[c77d859]	1982	"""
[5062bbf]	1983	Draw model 1D from loaded data1D
	1984
	1985	:param data: loaded data
	1986	:param model: the model to plot
	1987
[c77d859]	1988	"""
	1989	if not enable1D:
[f72333f]	1990	return
[c77d859]	1991	try:
	1992	from model_thread import Calc1D
	1993	## If a thread is already started, stop it
[a0da535]	1994	if (self.calc_1D is not None) and self.calc_1D.isrunning():
[c77d859]	1995	self.calc_1D.stop()
[2dbffcc]	1996	self.calc_1D = Calc1D(data=data,
[6bbeacd4]	1997	model=model,
[66ff250]	1998	page_id=page_id,
[a0da535]	1999	qmin=qmin,
	2000	qmax=qmax,
	2001	smearer=smearer,
[5ef55d2]	2002	state=state,
[62f851f]	2003	weight=weight,
[f64a4b7]	2004	fid=fid,
[fa65e99]	2005	toggle_mode_on=toggle_mode_on,
[2296316]	2006	completefn=self._complete1D,
	2007	#updatefn = self._update1D,
[e3f6ef5]	2008	update_chisqr=update_chisqr,
	2009	source=source)
[c77d859]	2010	self.calc_1D.queue()
	2011	except:
[a0da535]	2012	msg = " Error occurred when drawing %s Model 1D: " % model.name
	2013	msg += " %s" % sys.exc_value
	2014	wx.PostEvent(self.parent, StatusEvent(status=msg))
[2dbffcc]	2015
	2016
	2017
[f64a4b7]	2018	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
[f72333f]	2019	"""
[5062bbf]	2020	Get handy Chisqr using the output from draw1D and 2D,
	2021	instead of calling expansive CalcChisqr in guithread
[f72333f]	2022	"""
[df9e0fc]	2023	data_copy = deepcopy(data)
[f72333f]	2024	# default chisqr
	2025	chisqr = None
[2dbffcc]	2026	#to compute chisq make sure data has valid data
[f72333f]	2027	# return None if data == None
[df9e0fc]	2028	if not check_data_validity(data_copy) or data_copy == None:
[2dbffcc]	2029	return chisqr
[df9e0fc]	2030
[f72333f]	2031	# Get data: data I, theory I, and data dI in order
[ca2bdae]	2032	if data_copy.__class__.__name__ == "Data2D":
[a0da535]	2033	if index == None:
[ca2bdae]	2034	index = numpy.ones(len(data_copy.data),ntype=bool)
[62f851f]	2035	if weight != None:
	2036	data_copy.err_data = weight
[a0da535]	2037	# get rid of zero error points
[ca2bdae]	2038	index = index & (data_copy.err_data != 0)
	2039	index = index & (numpy.isfinite(data_copy.data))
	2040	fn = data_copy.data[index]
	2041	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[df9e0fc]	2042	if theory_data== None:
	2043	return chisqr
[6bbeacd4]	2044	gn = theory_data.data[index]
[ca2bdae]	2045	en = data_copy.err_data[index]
[f72333f]	2046	else:
	2047	# 1 d theory from model_thread is only in the range of index
[2296316]	2048	if index == None:
[ca2bdae]	2049	index = numpy.ones(len(data_copy.y), ntype=bool)
[62f851f]	2050	if weight != None:
	2051	data_copy.dy = weight
[ca2bdae]	2052	if data_copy.dy == None or data_copy.dy == []:
	2053	dy = numpy.ones(len(data_copy.y))
[f151ddf]	2054	else:
[a0da535]	2055	## Set consitently w/AbstractFitengine:
	2056	# But this should be corrected later.
[ca2bdae]	2057	dy = deepcopy(data_copy.dy)
[55d2f7e]	2058	dy[dy==0] = 1
[ca2bdae]	2059	fn = data_copy.y[index]
[eb4f2fd]	2060
[ca2bdae]	2061	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[df9e0fc]	2062	if theory_data== None:
	2063	return chisqr
[6bbeacd4]	2064	gn = theory_data.y
[4d5fa8c]	2065	en = dy[index]
[df9e0fc]	2066
[f72333f]	2067	# residual
[2296316]	2068	res = (fn - gn) / en
	2069	residuals = res[numpy.isfinite(res)]
[f72333f]	2070	# get chisqr only w/finite
[2296316]	2071	chisqr = numpy.average(residuals * residuals)
[eb4f2fd]	2072
[62f851f]	2073	self._plot_residuals(page_id=page_id, data=data_copy,
[f64a4b7]	2074	fid=fid,
[62f851f]	2075	weight=weight, index=index)
[ca2bdae]	2076
[f72333f]	2077	return chisqr
	2078
[f64a4b7]	2079	def _plot_residuals(self, page_id, weight, fid=None,
	2080	data=None, index=None):
[2296316]	2081	"""
	2082	Plot the residuals
	2083
	2084	:param data: data
	2085	:param index: index array (bool)
	2086	: Note: this is different from the residuals in cal_chisqr()
	2087	"""
[ca2bdae]	2088	data_copy = deepcopy(data)
[2296316]	2089	# Get data: data I, theory I, and data dI in order
[ca2bdae]	2090	if data_copy.__class__.__name__ == "Data2D":
[2296316]	2091	# build residuals
	2092	residuals = Data2D()
	2093	#residuals.copy_from_datainfo(data)
	2094	# Not for trunk the line below, instead use the line above
[ca2bdae]	2095	data_copy.clone_without_data(len(data_copy.data), residuals)
[2296316]	2096	residuals.data = None
[ca2bdae]	2097	fn = data_copy.data#[index]
	2098	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[2296316]	2099	gn = theory_data.data#[index]
[9fa4a4d]	2100	if weight == None:
	2101	en = data_copy.err_data
	2102	else:
	2103	en = weight
[2296316]	2104	residuals.data = (fn - gn) / en
[ca2bdae]	2105	residuals.qx_data = data_copy.qx_data#[index]
	2106	residuals.qy_data = data_copy.qy_data #[index]
	2107	residuals.q_data = data_copy.q_data#[index]
[2296316]	2108	residuals.err_data = numpy.ones(len(residuals.data))#[index]
	2109	residuals.xmin = min(residuals.qx_data)
	2110	residuals.xmax = max(residuals.qx_data)
	2111	residuals.ymin = min(residuals.qy_data)
	2112	residuals.ymax = max(residuals.qy_data)
[ca2bdae]	2113	residuals.q_data = data_copy.q_data#[index]
	2114	residuals.mask = data_copy.mask
[2296316]	2115	residuals.scale = 'linear'
	2116	# check the lengths
	2117	if len(residuals.data) != len(residuals.q_data):
	2118	return
	2119	else:
	2120	# 1 d theory from model_thread is only in the range of index
[ca2bdae]	2121	if data_copy.dy == None or data_copy.dy == []:
	2122	dy = numpy.ones(len(data_copy.y))
[2296316]	2123	else:
[62f851f]	2124	if weight == None:
[90a1440]	2125	dy = numpy.ones(len(data_copy.y))
[2296316]	2126	## Set consitently w/AbstractFitengine:
	2127	## But this should be corrected later.
[90a1440]	2128	else:
[62f851f]	2129	dy = weight#deepcopy(data_copy.dy)
[2296316]	2130	dy[dy==0] = 1
[ca2bdae]	2131	fn = data_copy.y[index]
	2132	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[2296316]	2133	gn = theory_data.y
	2134	en = dy[index]
	2135	# build residuals
	2136	residuals = Data1D()
	2137	residuals.y = (fn - gn) / en
[ca2bdae]	2138	residuals.x = data_copy.x[index]
[2296316]	2139	residuals.dy = numpy.ones(len(residuals.y))
	2140	residuals.dx = None
	2141	residuals.dxl = None
	2142	residuals.dxw = None
	2143	residuals.ytransform = 'y'
	2144	# For latter scale changes
	2145	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2146	residuals.yaxis('\\rm{Residuals} ', 'normalized')
	2147	new_plot = residuals
[b5fe787]	2148	new_plot.name = "Residuals for " + str(theory_data.name.split()[0]) +"[" + str(data.name) +"]"
[2296316]	2149	## allow to highlight data when plotted
	2150	new_plot.interactive = True
	2151	## when 2 data have the same id override the 1 st plotted
[a2da783]	2152	new_plot.id = "res" + str(data_copy.id)#name + " residuals"
[2296316]	2153	##group_id specify on which panel to plot this data
[5e48acb]	2154	group_id = self.page_finder[page_id].get_graph_id()
	2155	if group_id == None:
	2156	group_id = data.group_id
	2157	new_plot.group_id ="res" + str(group_id)
[2296316]	2158	#new_plot.is_data = True
	2159	##post data to plot
	2160	title = new_plot.name
[62f851f]	2161	self.page_finder[page_id].set_residuals(residuals=new_plot, fid=data.id)
[2de278d9]	2162	self.parent.update_theory(data_id=data.id, theory=new_plot)
[f64a4b7]	2163	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
[5cf1e5b]	2164	if not batch_on:
	2165	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))
[92a5ac92]	2166
[f64a4b7]	2167
[5062bbf]	2168	#def profile(fn, args, *kw):
	2169	# import cProfile, pstats, os
	2170	# global call_result
	2171	# def call():
	2172	# global call_result
	2173	# call_result = fn(args, *kw)
	2174	# cProfile.runctx('call()', dict(call=call), {}, 'profile.out')
	2175	# stats = pstats.Stats('profile.out')
	2176	# #stats.sort_stats('time')
	2177	# stats.sort_stats('calls')
	2178	# stats.print_stats()
	2179	# os.unlink('profile.out')
	2180	# return call_result
[d89f09b]	2181	if __name__ == "__main__":
	2182	i = Plugin()
	2183
	2184
	2185
	2186

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SasView

source: sasview/fittingview/src/sans/perspectives/fitting/fitting.py @ 2d0756a5

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