fitting.py @ fad6056

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 fad6056 was 2d9c7266, checked in by Jae Cho <jhjcho@…>, 12 years ago
change unnecessary error msg to warning msg on fit_complete
Property mode set to `100644`
File size: 90.2 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
[c21e87b]	23	from sans.dataloader.loader import Loader
[c3b4dcb]	24	from sans.guiframe.dataFitting import Data2D
	25	from sans.guiframe.dataFitting import Data1D
[2dbffcc]	26	from sans.guiframe.dataFitting import check_data_validity
[6bbeacd4]	27	from sans.guiframe.events import NewPlotEvent
	28	from sans.guiframe.events import StatusEvent
[a0da535]	29	from sans.guiframe.events import EVT_SLICER_PANEL
	30	from sans.guiframe.events import EVT_SLICER_PARS_UPDATE
[6bbeacd4]	31	from sans.guiframe.gui_style import GUIFRAME_ID
	32	from sans.guiframe.plugin_base import PluginBase
[e68bfef]	33	from sans.guiframe.data_processor import BatchCell
[2dbffcc]	34	from sans.fit.Fitting import Fit
[cc31608]	35	from .console import ConsoleUpdate
[2dbffcc]	36	from .fitproblem import FitProblemDictionary
[a0da535]	37	from .fitpanel import FitPanel
[cc31608]	38	from .fit_thread import FitThread
[a0da535]	39	from .pagestate import Reader
	40	from .fitpage import Chi2UpdateEvent
[6f140f2]	41	from sans.perspectives.calculator.model_editor import TextDialog
	42	from sans.perspectives.calculator.model_editor import EditorWindow
[ed2ea6a]	43
[c26a64b]	44	MAX_NBR_DATA = 4
[2c6b224]	45	SANS_F_TOL = 5e-05
[5062bbf]	46
[f32d144]	47	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
[92a5ac92]	48
[5062bbf]	49
[940aca7]	50	if sys.platform == "win32":
[f6aee42]	51	ON_MAC = False
	52	else:
[f32d144]	53	ON_MAC = True
	54
[3658abed]	55
[df7a7e3]	56
[3658abed]	57	class Plugin(PluginBase):
[d89f09b]	58	"""
[f32d144]	59	Fitting plugin is used to perform fit
[d89f09b]	60	"""
[3658abed]	61	def __init__(self, standalone=False):
[908b817]	62	PluginBase.__init__(self, name="Fitting", standalone=standalone)
[d89f09b]	63
[ed2ea6a]	64	#list of panel to send to guiframe
[f83b94a]	65	self.mypanels = []
[ed2ea6a]	66	# reference to the current running thread
[f83b94a]	67	self.calc_2D = None
	68	self.calc_1D = None
[9f4f8f4]	69
	70	self.color_dict = {}
	71
[66ff250]	72	self.fit_thread_list = {}
[2296316]	73	self.residuals = None
[55bb249c]	74	self.weight = None
[9466f2d6]	75	self.fit_panel = None
[940aca7]	76	self.plot_panel = None
[d89f09b]	77	# Start with a good default
	78	self.elapsed = 0.022
[ed2ea6a]	79	# the type of optimizer selected, park or scipy
[f32d144]	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
[f32d144]	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
[f32d144]	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
[f32d144]	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"
[f32d144]	171	self.menu1.Append(id1, '&New Fit Page', simul_help)
[0b6ae5f]	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"
[f32d144]	176	self.menu1.Append(self.id_simfit, '&Simultaneous Fit', simul_help)
[dafc36f]	177	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
[fa02d95]	178	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
[f32d144]	179	self.sim_menu.Enable(False)
[fa02d95]	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)
[f32d144]	184	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
[fa02d95]	185	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
[f32d144]	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]",
[f32d144]	191	scipy_help)
	192	wx.EVT_MENU(owner, self.scipy_id, self._onset_engine_scipy)
[0b6ae5f]	193
	194	park_help = "Park Engine: Perform Complex fit. More in Help window...."
[2c6b224]	195	self.menu1.AppendCheckItem(self.park_id, "Complex FitEngine [ParkMC]",
[f32d144]	196	park_help)
	197	wx.EVT_MENU(owner, self.park_id, self._onset_engine_park)
[0b6ae5f]	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)
[f32d144]	204	ftol_help += "of Simple FitEngine..."
	205	self.menu1.Append(self.id_tol, "Change FTolerance",
	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 "
[f32d144]	212	resetf_help += "propagated from the previous results. "
[da6fd1a]	213	resetf_help += "Otherwise, the same initial param values will be used "
[f32d144]	214	resetf_help += "for all fittings."
	215	self.menu1.AppendCheckItem(self.id_reset_flag,
	216	"Chain Fitting [BatchFit Only]",
	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()
[f32d144]	232	editmodel_help = "Edit customized model sample file"
	233	self.menu1.AppendMenu(self.id_edit, "Edit Custom Model",
[5d1c1f4]	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)
[f32d144]	246	frame = PyConsole(parent=self.parent, manager=self,
	247	panel=self.fit_panel,
	248	title='Advanced Custom Model Editor',
	249	filename=filename)
[056b569]	250	self.put_icon(frame)
[f32d144]	251	frame.Show(True)
[7c8d3093]	252
[b25caad]	253	def delete_custom_model(self, event):
	254	"""
	255	Delete custom model file
	256	"""
	257	id = event.GetId()
	258	label = self.delete_menu.GetLabel(id)
	259	toks = os.path.splitext(label)
	260	path = os.path.join(models.find_plugins_dir(), toks[0])
	261	try:
	262	for ext in ['.py', '.pyc']:
	263	p_path = path + ext
	264	os.remove(p_path)
	265	self.update_custom_combo()
[19e614a]	266	if os.path.isfile(p_path):
	267	msg = "Sorry! Could not be able to delete the default "
	268	msg += "custom model... \n"
	269	msg += "Please manually remove the files (.py, .pyc) "
	270	msg += "in the 'plugin_models' folder \n"
	271	msg += "inside of the SansView application, "
	272	msg += "and try it again."
	273	wx.MessageBox(msg, 'Info')
	274	#wx.PostEvent(self.parent, StatusEvent(status=msg, type='stop',
	275	# info='warning'))
	276	else:
	277	self.delete_menu.Delete(id)
	278	for item in self.edit_menu.GetMenuItems():
	279	if item.GetLabel() == label:
	280	self.edit_menu.DeleteItem(item)
	281	msg = "The custom model, %s, has been deleted."% label
	282	wx.PostEvent(self.parent, StatusEvent(status=msg,
	283	type='stop', info='info'))
	284	break
[b25caad]	285	except:
	286	msg ='Delete Error: \nCould not delete the file; Check if in use.'
[19e614a]	287	wx.MessageBox(msg, 'Error')
[b25caad]	288
[7c8d3093]	289	def make_sum_model(self, event):
	290	"""
	291	Edit summodel template and make one
	292	"""
	293	id = event.GetId()
	294	model_manager = models.ModelManager()
	295	model_list = model_manager.get_model_name_list()
[796c4d4]	296	plug_dir = models.find_plugins_dir()
[fdef956]	297	textdial = TextDialog(None, self, -1, 'Easy Sum/Multi(p1, p2) Editor',
[796c4d4]	298	model_list, plug_dir)
[7c8d3093]	299	self.put_icon(textdial)
[f32d144]	300	textdial.ShowModal()
[7c8d3093]	301	textdial.Destroy()
[6f140f2]	302
	303	def make_new_model(self, event):
	304	"""
[f32d144]	305	Make new model
[6f140f2]	306	"""
[6057915]	307	if self.new_model_frame != None:
[6f140f2]	308	self.new_model_frame.Show(False)
[6057915]	309	self.new_model_frame.Show(True)
[6f140f2]	310	else:
	311	id = event.GetId()
	312	dir_path = models.find_plugins_dir()
	313	title = "New Custom Model Function"
[f32d144]	314	self.new_model_frame = EditorWindow(parent=self, base=self,
[6f140f2]	315	path=dir_path, title=title)
	316	self.put_icon(self.new_model_frame)
	317	self.new_model_frame.Show(True)
[7c8d3093]	318
[ed8fa6a3]	319	def update_custom_combo(self):
	320	"""
	321	Update custom model list in the fitpage combo box
	322	"""
[ea5fa58]	323	custom_model = 'Customized Models'
[ed8fa6a3]	324	try:
[b25caad]	325	# Update edit menus
	326	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
	327	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
[ed8fa6a3]	328	temp = self.fit_panel.reset_pmodel_list()
	329	if temp:
	330	# Set the new custom model list for all fit pages
	331	for uid, page in self.fit_panel.opened_pages.iteritems():
	332	if hasattr(page, "formfactorbox"):
	333	page.model_list_box = temp
[19e614a]	334	current_val = page.formfactorbox.GetLabel()
[ea5fa58]	335	#if page.plugin_rbutton.GetValue():
	336	mod_cat = page.categorybox.GetStringSelection()
	337	if mod_cat == custom_model:
[b9dd680]	338	#pos = page.formfactorbox.GetSelection()
	339	page._show_combox_helper()
	340	new_val = page.formfactorbox.GetLabel()
	341	if current_val != new_val and new_val != '':
	342	page.formfactorbox.SetLabel(new_val)
	343	else:
	344	page.formfactorbox.SetLabel(current_val)
[ed8fa6a3]	345	except:
	346	pass
	347
	348
[f32d144]	349	def set_edit_menu(self, owner):
[5d1c1f4]	350	"""
	351	Set list of the edit model menu labels
	352	"""
[7c8d3093]	353	id = wx.NewId()
[6f140f2]	354	#new_model_menu = wx.Menu()
[f32d144]	355	self.edit_model_menu.Append(id, 'New',
	356	'Add a new model function')
	357	wx.EVT_MENU(owner, id, self.make_new_model)
[6f140f2]	358	id = wx.NewId()
[fdef956]	359	self.edit_model_menu.Append(id, 'Sum\|Multi(p1, p2)',
[f32d144]	360	'Sum of two model functions')
	361	wx.EVT_MENU(owner, id, self.make_sum_model)
[7c8d3093]	362	e_id = wx.NewId()
[f32d144]	363	self.edit_menu = wx.Menu()
[7c8d3093]	364	self.edit_model_menu.AppendMenu(e_id,
[b25caad]	365	'Advanced', self.edit_menu)
	366	self.set_edit_menu_helper(owner, self.edit_custom_model)
	367
	368	d_id = wx.NewId()
[f32d144]	369	self.delete_menu = wx.Menu()
	370	self.edit_model_menu.AppendMenu(d_id,
	371	'Delete', self.delete_menu)
[b25caad]	372	self.set_edit_menu_helper(owner, self.delete_custom_model)
[7c8d3093]	373
[d83549c]	374	def set_edit_menu_helper(self, owner=None, menu=None):
[7c8d3093]	375	"""
	376	help for setting list of the edit model menu labels
	377	"""
[d83549c]	378	if menu == None:
	379	menu = self.edit_custom_model
[5d1c1f4]	380	list_fnames = os.listdir(models.find_plugins_dir())
[d2843a9]	381	list_fnames.sort()
	382	for f_item in list_fnames:
	383	name = os.path.basename(f_item)
[5d1c1f4]	384	toks = os.path.splitext(name)
[f32d144]	385	if toks[-1] == '.py' and not toks[0] == '__init__':
[b25caad]	386	if menu == self.edit_custom_model:
[f32d144]	387	if toks[0] == 'easy_sum_of_p1_p2':
[b25caad]	388	continue
	389	submenu = self.edit_menu
	390	else:
	391	submenu = self.delete_menu
[5d1c1f4]	392	has_file = False
[b25caad]	393	for item in submenu.GetMenuItems():
	394	if name == submenu.GetLabel(item.GetId()):
[5d1c1f4]	395	has_file = True
	396	if not has_file:
	397	id = wx.NewId()
[f32d144]	398	submenu.Append(id, name)
	399	wx.EVT_MENU(owner, id, menu)
[5d1c1f4]	400	has_file = False
	401
[056b569]	402	def put_icon(self, frame):
	403	"""
	404	Put icon in the frame title bar
	405	"""
	406	if hasattr(frame, "IsIconized"):
	407	if not frame.IsIconized():
	408	try:
	409	icon = self.parent.GetIcon()
	410	frame.SetIcon(icon)
	411	except:
[f32d144]	412	pass
	413
[51d47b5]	414	def on_add_sim_page(self, event):
[ed2ea6a]	415	"""
[5062bbf]	416	Create a page to access simultaneous fit option
[ed2ea6a]	417	"""
[fa02d95]	418	id = event.GetId()
	419	caption = "Simultaneous Fit"
	420	page = self.sim_page
	421	if id == self.id_batchfit:
[7b1ca97]	422	caption = "Combined Batch"
[fa02d95]	423	page = self.batch_page
	424
	425	def set_focus_page(page):
	426	page.Show(True)
	427	page.Refresh()
	428	page.SetFocus()
[581d1d4]	429	self.parent._mgr.Update()
[fa02d95]	430	msg = "%s already opened\n" % str(page.window_caption)
	431	wx.PostEvent(self.parent, StatusEvent(status=msg))
	432
	433	if page != None:
	434	return set_focus_page(page)
	435	if caption == "Simultaneous Fit":
	436	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	437	else:
	438	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
[b28717b]	439
[d89f09b]	440	def help(self, evt):
	441	"""
[f32d144]	442	Show a general help dialog.
[d89f09b]	443	"""
[484faf7]	444	from help_panel import HelpWindow
[f32d144]	445	frame = HelpWindow(None, -1, 'HelpWindow')
[34ffeed]	446	if hasattr(frame, "IsIconized"):
	447	if not frame.IsIconized():
	448	try:
	449	icon = self.parent.GetIcon()
	450	frame.SetIcon(icon)
	451	except:
[f32d144]	452	pass
[2268d10]	453	frame.Show(True)
	454
[6bbeacd4]	455	def get_context_menu(self, plotpanel=None):
[d89f09b]	456	"""
[5062bbf]	457	Get the context menu items available for P(r).them allow fitting option
	458	for Data2D and Data1D only.
	459
	460	:param graph: the Graph object to which we attach the context menu
	461
	462	:return: a list of menu items with call-back function
	463
[f32d144]	464	:note: if Data1D was generated from Theory1D
[5062bbf]	465	the fitting option is not allowed
	466
[d89f09b]	467	"""
[940aca7]	468	self.plot_panel = plotpanel
[6bbeacd4]	469	graph = plotpanel.graph
[484faf7]	470	fit_option = "Select data for fitting"
	471	fit_hint = "Dialog with fitting parameters "
[6bbeacd4]	472
	473	if graph.selected_plottable not in plotpanel.plots:
	474	return []
	475	item = plotpanel.plots[graph.selected_plottable]
[f32d144]	476	if item.__class__.__name__ is "Data2D":
	477	if hasattr(item, "is_data"):
[6bbeacd4]	478	if item.is_data:
	479	return [[fit_option, fit_hint, self._onSelect]]
	480	else:
	481	return []
	482	return [[fit_option, fit_hint, self._onSelect]]
	483	else:
	484
	485	# if is_data is true , this in an actual data loaded
	486	#else it is a data created from a theory model
[f32d144]	487	if hasattr(item, "is_data"):
[6bbeacd4]	488	if item.is_data:
[f32d144]	489	return [[fit_option, fit_hint, self._onSelect]]
[6bbeacd4]	490	else:
[f32d144]	491	return []
[940aca7]	492	return [[fit_option, fit_hint, self._onSelect]]
[f32d144]	493	return []
[d89f09b]	494
	495	def get_panels(self, parent):
	496	"""
[5062bbf]	497	Create and return a list of panel objects
[d89f09b]	498	"""
	499	self.parent = parent
[75fbd17]	500	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
[d89f09b]	501	# Creation of the fit panel
[6bbeacd4]	502	self.fit_panel = FitPanel(parent=self.parent, manager=self)
	503	self.on_add_new_page(event=None)
[f93dfcb]	504	#Set the manager for the main panel
[d89f09b]	505	self.fit_panel.set_manager(self)
	506	# List of windows used for the perspective
	507	self.perspective = []
	508	self.perspective.append(self.fit_panel.window_name)
[6bbeacd4]	509
[3b19ac9]	510	#index number to create random model name
	511	self.index_model = 0
[f32d144]	512	self.index_theory = 0
[32673ac]	513	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
[848a2ef]	514	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[f32d144]	515	self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
[3bf4a032]	516	#Create reader when fitting panel are created
[f32d144]	517	self.state_reader = Reader(self.set_state)
	518	#append that reader to list of available reader
[3bf4a032]	519	loader = Loader()
	520	loader.associate_file_reader(".fitv", self.state_reader)
[f93dfcb]	521	#Send the fitting panel to guiframe
[f32d144]	522	self.mypanels.append(self.fit_panel)
[568e1a5]	523	return self.mypanels
[232c3db]	524
[90a7bbd]	525	def clear_panel(self):
	526	"""
	527	"""
[81f00d7]	528	self.fit_panel.clear_panel()
[90a7bbd]	529
[1610976]	530	def set_default_perspective(self):
	531	"""
[5062bbf]	532	Call back method that True to notify the parent that the current plug-in
[f32d144]	533	can be set as default perspective.
	534	when returning False, the plug-in is not candidate for an automatic
[5062bbf]	535	default perspective setting
[1610976]	536	"""
	537	return True
[a0da535]	538
[17553ae]	539	def delete_data(self, data):
[8ee56a9]	540	"""
	541	delete the given data from panel
	542	"""
	543	self.fit_panel.delete_data(data)
	544
[e88ebfd]	545	def set_data(self, data_list=None):
[a0da535]	546	"""
	547	receive a list of data to fit
	548	"""
[b2d9826]	549	if data_list is None:
	550	data_list = []
[c26a64b]	551	selected_data_list = []
[cc31608]	552	if self.batch_on:
	553	page = self.add_fit_page(data=data_list)
[c26a64b]	554	else:
[cc31608]	555	if len(data_list) > MAX_NBR_DATA:
	556	from fitting_widgets import DataDialog
	557	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	558	if dlg.ShowModal() == wx.ID_OK:
	559	selected_data_list = dlg.get_data()
	560	dlg.Destroy()
	561
	562	else:
	563	selected_data_list = data_list
	564	try:
[5e48acb]	565	group_id = wx.NewId()
[cc31608]	566	for data in selected_data_list:
[5e48acb]	567	if data is not None:
[33b7954]	568	# 2D has no same group_id
	569	if data.__class__.__name__ == 'Data2D':
	570	group_id = wx.NewId()
[5e48acb]	571	data.group_id = group_id
[14774db]	572	if group_id not in data.list_group_id:
	573	data.list_group_id.append(group_id)
	574	page = self.add_fit_page(data=[data])
[cc31608]	575	except:
	576	msg = "Fitting Set_data: " + str(sys.exc_value)
	577	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
[1b1bbf9]	578
	579	def set_top_panel(self):
	580	"""
	581	Close default (welcome) panel
	582	"""
	583	if 'default' in self.parent.panels:
	584	self.parent.on_close_welcome_panel()
	585
[5e48acb]	586
[f32d144]	587	def set_theory(self, theory_list=None):
[e88ebfd]	588	"""
	589	"""
	590	#set the model state for a given theory_state:
	591	for item in theory_list:
	592	try:
	593	_, theory_state = item
	594	self.fit_panel.set_model_state(theory_state)
	595	except:
	596	msg = "Fitting: cannot deal with the theory received"
	597	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
[f32d144]	598	wx.PostEvent(self.parent,
	599	StatusEvent(status=msg, info="error"))
[a0da535]	600
[b63dc6e]	601	def set_state(self, state=None, datainfo=None, format=None):
[f83b94a]	602	"""
[5062bbf]	603	Call-back method for the fit page state reader.
[8897d66]	604	This method is called when a .fitv/.svs file is loaded.
[5062bbf]	605
[8897d66]	606	: param state: PageState object
	607	: param datainfo: data
[f83b94a]	608	"""
[90a7bbd]	609	#state = self.state_reader.get_state()
[b63dc6e]	610	if state != None:
[4bee68d]	611	state = state.clone()
[b63dc6e]	612	# store fitting state in temp_state
[f32d144]	613	self.temp_state.append(state)
[b63dc6e]	614	else:
	615	self.temp_state = []
[ef16f59]	616	# index to start with for a new set_state
	617	self.state_index = 0
[b63dc6e]	618	# state file format
	619	self.sfile_ext = format
[75fbd17]	620
	621	self.on_set_state_helper(event=None)
[ef16f59]	622
[f32d144]	623	def on_set_state_helper(self, event=None):
[4da35bc]	624	"""
[f32d144]	625	Set_state_helper. This actually sets state
[0fd2f27]	626	after plotting data from state file.
[ef16f59]	627
[f32d144]	628	: event: FitStateUpdateEvent called
[0fd2f27]	629	by dataloader.plot_data from guiframe
[4da35bc]	630	"""
[7a07864]	631	if len(self.temp_state) == 0:
[f32d144]	632	if self.state_index == 0 and len(self.mypanels) <= 0 \
	633	and self.sfile_ext == '.svs':
[b63dc6e]	634	self.temp_state = []
	635	self.state_index = 0
[4da35bc]	636	return
[3eb2811]	637
[ef16f59]	638	try:
	639	# Load fitting state
	640	state = self.temp_state[self.state_index]
[3eb2811]	641	#panel state should have model selection to set_state
	642	if state.formfactorcombobox != None:
	643	#set state
[75fbd17]	644	data = self.parent.create_gui_data(state.data)
	645	data.group_id = state.data.group_id
[f32d144]	646	self.parent.add_data(data_list={data.id: data})
[75fbd17]	647	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	648	title=data.title))
[f95301b]	649	#need to be fix later make sure we are sendind guiframe.data
	650	#to panel
	651	state.data = data
[f32d144]	652	page = self.fit_panel.set_state(state)
[3eb2811]	653	else:
	654	#just set data because set_state won't work
[75fbd17]	655	data = self.parent.create_gui_data(state.data)
	656	data.group_id = state.data.group_id
[f32d144]	657	self.parent.add_data(data_list={data.id: data})
[f95301b]	658	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	659	title=data.title))
[cc31608]	660	page = self.add_fit_page([data])
[2dbffcc]	661	caption = page.window_caption
[f32d144]	662	self.store_data(uid=page.uid, data_list=page.get_data_list(),
[2dbffcc]	663	caption=caption)
[f32d144]	664	self.mypanels.append(page)
[3eb2811]	665
[9b18735]	666	# get ready for the next set_state
[ef16f59]	667	self.state_index += 1
[9b18735]	668
[f32d144]	669	#reset state variables to default when all set_state is finished.
[ef16f59]	670	if len(self.temp_state) == self.state_index:
[9b18735]	671
[ef16f59]	672	self.temp_state = []
[b63dc6e]	673	#self.state_index = 0
[ef16f59]	674	# Make sure the user sees the fitting panel after loading
[f32d144]	675	#self.parent.set_perspective(self.perspective)
[75fbd17]	676	self.on_perspective(event=None)
[ef16f59]	677	except:
[f32d144]	678	self.state_index = 0
[8897d66]	679	self.temp_state = []
[ef16f59]	680	raise
[1b14795]	681
	682	def set_param2fit(self, uid, param2fit):
	683	"""
	684	Set the list of param names to fit for fitprobelm
	685	"""
	686	self.page_finder[uid].set_param2fit(param2fit)
[5e48acb]	687
	688	def set_graph_id(self, uid, graph_id):
	689	"""
	690	Set graph_id for fitprobelm
	691	"""
	692	self.page_finder[uid].set_graph_id(graph_id)
	693
	694	def get_graph_id(self, uid):
	695	"""
	696	Set graph_id for fitprobelm
	697	"""
[f32d144]	698	return self.page_finder[uid].get_graph_id()
[5e48acb]	699
[f32d144]	700	def save_fit_state(self, filepath, fitstate):
[f83b94a]	701	"""
[5062bbf]	702	save fit page state into file
[f83b94a]	703	"""
	704	self.state_reader.write(filename=filepath, fitstate=fitstate)
[55bb249c]	705
[f7ef313]	706	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
[55bb249c]	707	"""
	708	Set the fit weights of a given page for all
[f32d144]	709	its data by default. If fid is provide then set the range
[55bb249c]	710	only for the data with fid as id
	711	:param uid: id corresponding to a fit page
	712	:param fid: id corresponding to a fit problem (data, model)
	713	:param weight: current dy data
	714	"""
	715	if uid in self.page_finder.keys():
[f7ef313]	716	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
[55bb249c]	717
[2dbffcc]	718	def set_fit_range(self, uid, qmin, qmax, fid=None):
[ca7a626]	719	"""
[2dbffcc]	720	Set the fitting range of a given page for all
[f32d144]	721	its data by default. If fid is provide then set the range
[2dbffcc]	722	only for the data with fid as id
	723	:param uid: id corresponding to a fit page
	724	:param fid: id corresponding to a fit problem (data, model)
	725	:param qmin: minimum value of the fit range
	726	:param qmax: maximum value of the fit range
[ca7a626]	727	"""
[2dbffcc]	728	if uid in self.page_finder.keys():
[f6933b8]	729	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	730
[f32d144]	731	def schedule_for_fit(self, value=0, uid=None):
[948add7]	732	"""
[5062bbf]	733	Set the fit problem field to 0 or 1 to schedule that problem to fit.
[f32d144]	734	Schedule the specified fitproblem or get the fit problem related to
[5062bbf]	735	the current page and set value.
[f32d144]	736	:param value: integer 0 or 1
[2dbffcc]	737	:param uid: the id related to a page contaning fitting information
	738	"""
[f32d144]	739	if uid in self.page_finder.keys():
[66ff250]	740	self.page_finder[uid].schedule_tofit(value)
[ca7a626]	741
[d89f09b]	742	def get_page_finder(self):
[5062bbf]	743	"""
	744	return self.page_finder used also by simfitpage.py
[f32d144]	745	"""
	746	return self.page_finder
[d89f09b]	747
[f32d144]	748	def set_page_finder(self, modelname, names, values):
[d89f09b]	749	"""
[5062bbf]	750	Used by simfitpage.py to reset a parameter given the string constrainst.
	751
[f32d144]	752	:param modelname: the name ot the model for with the parameter
[0fd2f27]	753	has to reset
[5062bbf]	754	:param value: can be a string in this case.
	755	:param names: the paramter name
	756
	757	:note: expecting park used for fit.
	758
[f32d144]	759	"""
[66ff250]	760	sim_page_id = self.sim_page.uid
	761	for uid, value in self.page_finder.iteritems():
[fa02d95]	762	if uid != sim_page_id and uid != self.batch_page.uid:
[6bbeacd4]	763	list = value.get_model()
[f93dfcb]	764	model = list[0]
[6bbeacd4]	765	if model.name == modelname:
	766	value.set_model_param(names, values)
[d89f09b]	767	break
[2db1d66]	768
[f32d144]	769	def split_string(self, item):
[d89f09b]	770	"""
[5062bbf]	771	receive a word containing dot and split it. used to split parameterset
	772	name into model name and parameter name example: ::
	773
[3b19ac9]	774	paramaterset (item) = M1.A
[5062bbf]	775	Will return model_name = M1 , parameter name = A
	776
[d89f09b]	777	"""
[6d8bad4]	778	if item.find(".") >= 0:
[7c8d3093]	779	param_names = re.split("\.", item)
[f32d144]	780	model_name = param_names[0]
[6d91073]	781	##Assume max len is 3; eg., M0.radius.width
	782	if len(param_names) == 3:
[7c8d3093]	783	param_name = param_names[1] + "." + param_names[2]
[6d91073]	784	else:
[f32d144]	785	param_name = param_names[1]
[7c8d3093]	786	return model_name, param_name
[2296316]	787
	788	def set_ftol(self, ftol=None):
	789	"""
[f32d144]	790	Set ftol: Relative error desired in the sum of chi squares.
[2296316]	791	"""
	792	# check if it is flaot
	793	try:
	794	f_tol = float(ftol)
	795	except:
	796	# default
[2c6b224]	797	f_tol = SANS_F_TOL
[2296316]	798
	799	self.ftol = f_tol
[2c6b224]	800	# update ftol menu help strings
	801	ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol)
[f32d144]	802	ftol_help += "of Simple FitEngine..."
[dafc36f]	803	if self.menu1 != None:
	804	self.menu1.SetHelpString(self.id_tol, ftol_help)
[2c6b224]	805
	806	def show_ftol_dialog(self, event=None):
	807	"""
	808	Dialog to select ftol for Scipy
	809	"""
	810	#if event != None:
	811	# event.Skip()
	812	from ftol_dialog import ChangeFtol
	813	panel = ChangeFtol(self.parent, self)
	814	panel.ShowModal()
	815
[66ff250]	816	def stop_fit(self, uid):
[ed2ea6a]	817	"""
[5062bbf]	818	Stop the fit engine
[ed2ea6a]	819	"""
[66ff250]	820	if uid in self.fit_thread_list.keys():
	821	calc_fit = self.fit_thread_list[uid]
	822	if calc_fit is not None and calc_fit.isrunning():
	823	calc_fit.stop()
	824	msg = "Fit stop!"
	825	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[3ddc2c4]	826	del self.fit_thread_list[uid]
[66ff250]	827	#set the fit button label of page when fit stop is trigger from
	828	#simultaneous fit pane
[fa02d95]	829	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	830	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	831	if sim_flag or batch_flag:
[66ff250]	832	for uid, value in self.page_finder.iteritems():
	833	if value.get_scheduled() == 1:
	834	if uid in self.fit_panel.opened_pages.keys():
	835	panel = self.fit_panel.opened_pages[uid]
[fa02d95]	836	panel._on_fit_complete()
[6bbeacd4]	837
[2dbffcc]	838	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	839	enable_smearer=False):
	840	"""
	841	Get a smear object and store it to a fit problem of fid as id. If proper
	842	flag is enable , will plot the theory with smearing information.
	843
	844	:param smearer: smear object to allow smearing data of id fid
	845	:param enable_smearer: Define whether or not all (data, model) contained
	846	in the structure of id uid will be smeared before fitting.
	847	:param qmin: the maximum value of the theory plotting range
	848	:param qmax: the maximum value of the theory plotting range
	849	:param draw: Determine if the theory needs to be plot
[f32d144]	850	"""
[66ff250]	851	if uid not in self.page_finder.keys():
[2dbffcc]	852	return
	853	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	854	self.page_finder[uid].set_smearer(smearer, fid=fid)
[6bbeacd4]	855	if draw:
	856	## draw model 1D with smeared data
[f32d144]	857	data = self.page_finder[uid].get_fit_data(fid=fid)
[2dbffcc]	858	if data is None:
	859	msg = "set_mearer requires at least data.\n"
	860	msg += "Got data = %s .\n" % str(data)
[269df2b]	861	return
	862	#raise ValueError, msg
[2dbffcc]	863	model = self.page_finder[uid].get_model(fid=fid)
[6bbeacd4]	864	if model is None:
	865	return
[2dbffcc]	866	enable1D = issubclass(data.__class__, Data1D)
	867	enable2D = issubclass(data.__class__, Data2D)
[6bbeacd4]	868	## if user has already selected a model to plot
	869	## redraw the model with data smeared
[2dbffcc]	870	smear = self.page_finder[uid].get_smearer(fid=fid)
[342dc442]	871
	872	# compute weight for the current data
	873	weight = self.page_finder[uid].get_weight(fid=fid)
	874
[66ff250]	875	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
[ba1f0b2]	876	enable1D=enable1D, enable2D=enable2D,
[342dc442]	877	qmin=qmin, qmax=qmax, weight=weight)
[f6aee42]	878	self._mac_sleep(0.2)
	879
	880	def _mac_sleep(self, sec=0.2):
[2dbffcc]	881	"""
	882	Give sleep to MAC
	883	"""
[f6aee42]	884	if ON_MAC:
[f32d144]	885	time.sleep(sec)
[2dbffcc]	886
[66ff250]	887	def draw_model(self, model, page_id, data=None, smearer=None,
[67e258c]	888	enable1D=True, enable2D=False,
[5ef55d2]	889	state=None,
[f64a4b7]	890	fid=None,
[fa65e99]	891	toggle_mode_on=False,
[f32d144]	892	qmin=None, qmax=None,
[e3f6ef5]	893	update_chisqr=True, weight=None, source='model'):
[ca7a626]	894	"""
[5062bbf]	895	Draw model.
	896
	897	:param model: the model to draw
	898	:param name: the name of the model to draw
	899	:param data: the data on which the model is based to be drawn
	900	:param description: model's description
	901	:param enable1D: if true enable drawing model 1D
	902	:param enable2D: if true enable drawing model 2D
	903	:param qmin: Range's minimum value to draw model
	904	:param qmax: Range's maximum value to draw model
	905	:param qstep: number of step to divide the x and y-axis
[2296316]	906	:param update_chisqr: update chisqr [bool]
[ed2ea6a]	907
[d89f09b]	908	"""
[62f851f]	909	#self.weight = weight
[f32d144]	910	if issubclass(data.__class__, Data1D) or not enable2D:
[f72333f]	911	## draw model 1D with no loaded data
[f32d144]	912	self._draw_model1D(model=model,
[67e258c]	913	data=data,
[66ff250]	914	page_id=page_id,
[f32d144]	915	enable1D=enable1D,
[67e258c]	916	smearer=smearer,
	917	qmin=qmin,
[f32d144]	918	qmax=qmax,
[f64a4b7]	919	fid=fid,
[62f851f]	920	weight=weight,
[fa65e99]	921	toggle_mode_on=toggle_mode_on,
[5ef55d2]	922	state=state,
[e3f6ef5]	923	update_chisqr=update_chisqr,
	924	source=source)
[f32d144]	925	else:
[f72333f]	926	## draw model 2D with no initial data
[ba1f0b2]	927	self._draw_model2D(model=model,
[66ff250]	928	page_id=page_id,
[67e258c]	929	data=data,
	930	enable2D=enable2D,
	931	smearer=smearer,
	932	qmin=qmin,
	933	qmax=qmax,
[f64a4b7]	934	fid=fid,
[d682c92]	935	weight=weight,
[5ef55d2]	936	state=state,
[fa65e99]	937	toggle_mode_on=toggle_mode_on,
[e3f6ef5]	938	update_chisqr=update_chisqr,
	939	source=source)
[2db1d66]	940
[922497f]	941	def onFit(self, uid):
[ca7a626]	942	"""
[2dbffcc]	943	Get series of data, model, associates parameters and range and send then
[f32d144]	944	to series of fit engines. Fit data and model, display result to
	945	corresponding panels.
[2dbffcc]	946	:param uid: id related to the panel currently calling this fit function.
[ca7a626]	947	"""
[31469d50]	948	flag = True
[f32d144]	949	## count the number of fitproblem schedule to fit
[67e258c]	950	fitproblem_count = 0
[66ff250]	951	for value in self.page_finder.values():
[67e258c]	952	if value.get_scheduled() == 1:
[bb18ef1]	953	fitproblem_count += 1
[f32d144]	954	self._gui_engine = self._return_engine_type()
	955	self.fitproblem_count = fitproblem_count
[67e258c]	956	if self._fit_engine == "park":
	957	engineType = "Simultaneous Fit"
[ca7a626]	958	else:
[67e258c]	959	engineType = "Single Fit"
[f32d144]	960	fitter_list = []
	961	sim_fitter = None
[284f6fe]	962	is_single_fit = True
[fa02d95]	963	batch_on = False
[922497f]	964	if self.sim_page is not None and self.sim_page.uid == uid:
[f32d144]	965	#simulatanous fit only one engine need to be created
[284f6fe]	966	## if simultaneous fit change automatically the engine to park
[f32d144]	967	self._on_change_engine(engine='park')
	968	sim_fitter = Fit(self._fit_engine)
[fa02d95]	969	sim_fitter.fitter_id = self.sim_page.uid
[f32d144]	970	fitter_list.append(sim_fitter)
[284f6fe]	971	is_single_fit = False
[fa02d95]	972	batch_on = self.sim_page.batch_on
[7db52f1]	973
[f32d144]	974	self.fitproblem_count = fitproblem_count
[284f6fe]	975	if self._fit_engine == "park":
	976	engineType = "Simultaneous Fit"
	977	else:
	978	engineType = "Single Fit"
[922497f]	979
[67e258c]	980	self.current_pg = None
[66ff250]	981	list_page_id = []
[922497f]	982	fit_id = 0
[33dd2e5]	983	batch_inputs = {}
	984	batch_outputs = {}
[66ff250]	985	for page_id, value in self.page_finder.iteritems():
[dc613d6]	986	# For simulfit (uid give with None), do for-loop
	987	# if uid is specified (singlefit), do it only on the page.
	988	if engineType == "Single Fit":
[fa02d95]	989	#combine more than 1 batch page on single mode
	990	if self.batch_page is None or self.batch_page.uid != uid:
	991	if page_id != uid:
	992	continue
[d89f09b]	993	try:
[67e258c]	994	if value.get_scheduled() == 1:
[f64a4b7]	995	value.nbr_residuals_computed = 0
[f93dfcb]	996	#Get list of parameters name to fit
[d89f09b]	997	pars = []
	998	templist = []
[66ff250]	999	page = self.fit_panel.get_page_by_id(page_id)
[f32d144]	1000	self.set_fit_weight(uid=page.uid,
[7ee79cb]	1001	flag=page.get_weight_flag(),
[f32d144]	1002	is2d=page._is_2D())
[3b19ac9]	1003	templist = page.get_param_list()
[f32d144]	1004	flag = page._update_paramv_on_fit()
[31469d50]	1005	if not flag:
	1006	msg = "Fitting range or parameter values are"
[f32d144]	1007	msg += " invalid in %s" % \
[31469d50]	1008	page.window_caption
[f32d144]	1009	wx.PostEvent(page.parent.parent,
	1010	StatusEvent(status=msg, info="error",
[31469d50]	1011	type="stop"))
	1012	return flag
[d89f09b]	1013	for element in templist:
[513115c]	1014	name = str(element[1])
[ca7a626]	1015	pars.append(name)
[7bd6cfae]	1016	fitproblem_list = value.values()
	1017	for fitproblem in fitproblem_list:
[922497f]	1018	if sim_fitter is None:
[f32d144]	1019	fitter = Fit(self._fit_engine)
[fa02d95]	1020	fitter.fitter_id = page_id
[f32d144]	1021	self._fit_helper(fitproblem=fitproblem,
	1022	pars=pars,
	1023	fitter=fitter,
	1024	fit_id=fit_id,
	1025	batch_inputs=batch_inputs,
	1026	batch_outputs=batch_outputs)
	1027	fitter_list.append(fitter)
[922497f]	1028	else:
	1029	fitter = sim_fitter
[f32d144]	1030	self._fit_helper(fitproblem=fitproblem,
	1031	pars=pars,
	1032	fitter=fitter,
	1033	fit_id=fit_id,
	1034	batch_inputs=batch_inputs,
	1035	batch_outputs=batch_outputs)
[922497f]	1036	fit_id += 1
[66ff250]	1037	list_page_id.append(page_id)
	1038	current_page_id = page_id
[922497f]	1039	value.clear_model_param()
[986da97]	1040	except KeyboardInterrupt:
	1041	flag = True
	1042	msg = "Fitting terminated"
	1043	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
	1044	type="stop"))
	1045	return flag
[d89f09b]	1046	except:
[31469d50]	1047	flag = False
[f32d144]	1048	msg = "%s error: %s" % (engineType, sys.exc_value)
[ba1f0b2]	1049	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error",
	1050	type="stop"))
[31469d50]	1051	return flag
[e54d2c32]	1052	## If a thread is already started, stop it
	1053	#if self.calc_fit!= None and self.calc_fit.isrunning():
	1054	# self.calc_fit.stop()
[a2cb1f9]	1055	msg = "Fitting is in progress..."
[f32d144]	1056	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
[a2cb1f9]	1057
	1058	#Handler used for park engine displayed message
[66ff250]	1059	handler = ConsoleUpdate(parent=self.parent,
	1060	manager=self,
	1061	improvement_delta=0.1)
[f6aee42]	1062	self._mac_sleep(0.2)
[e54d2c32]	1063	## perform single fit
[05fb6d12]	1064	try:
	1065	page = self.fit_panel.get_page_by_id(uid)
	1066	batch_on = page.batch_on
	1067	except:
[fa02d95]	1068	try:
[f32d144]	1069	#if the id cannot be found then we deal with a self.sim_page
[fa02d95]	1070	#or a self.batch_page
	1071	if self.sim_page is not None and uid == self.sim_page.uid:
[7b1ca97]	1072	batch_on = self.sim_page.batch_on
[fa02d95]	1073	if self.batch_page is not None and uid == self.batch_page.uid:
[7b1ca97]	1074	batch_on = self.batch_page.batch_on
[fa02d95]	1075	except:
[f32d144]	1076	batch_on = False
	1077
[05fb6d12]	1078	# batch fit
	1079	if batch_on:
[f32d144]	1080	calc_fit = FitThread(handler=handler,
	1081	fn=fitter_list,
	1082	pars=pars,
	1083	batch_inputs=batch_inputs,
	1084	batch_outputs=batch_outputs,
	1085	page_id=list_page_id,
	1086	completefn=self._batch_fit_complete,
	1087	ftol=self.ftol,
	1088	reset_flag=self.batch_reset_flag)
[e54d2c32]	1089	else:
[f32d144]	1090	# single fit: not batch and not simul fit
[92a5ac92]	1091	if not is_single_fit:
	1092	current_page_id = self.sim_page.uid
[e54d2c32]	1093	## Perform more than 1 fit at the time
[58e0c83]	1094	calc_fit = FitThread(handler=handler,
[cc31608]	1095	fn=fitter_list,
[33dd2e5]	1096	batch_inputs=batch_inputs,
	1097	batch_outputs=batch_outputs,
[66ff250]	1098	page_id=list_page_id,
[2296316]	1099	updatefn=handler.update_fit,
[6a4002d]	1100	completefn=self._fit_completed,
[2296316]	1101	ftol=self.ftol)
[66ff250]	1102	self.fit_thread_list[current_page_id] = calc_fit
[a2cb1f9]	1103	calc_fit.queue()
[cc31608]	1104	msg = "Fitting is in progress..."
[f32d144]	1105	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
[cc31608]	1106
	1107	self.ready_fit(calc_fit=calc_fit)
[31469d50]	1108	return flag
	1109
[662da312]	1110	def ready_fit(self, calc_fit):
[c660493]	1111	"""
	1112	Ready for another fit
	1113	"""
	1114	if self.fitproblem_count != None and self.fitproblem_count > 1:
[662da312]	1115	calc_fit.ready(2.5)
[c660493]	1116	else:
	1117	time.sleep(0.4)
[2f189dc]	1118
[2dbffcc]	1119	def remove_plot(self, uid, fid=None, theory=False):
[2f189dc]	1120	"""
[5062bbf]	1121	remove model plot when a fit page is closed
[2dbffcc]	1122	:param uid: the id related to the fitpage to close
	1123	:param fid: the id of the fitproblem(data, model, range,etc)
[2f189dc]	1124	"""
[2dbffcc]	1125	if uid not in self.page_finder.keys():
	1126	return
	1127	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1128	for fitproblem in fitproblemList:
	1129	data = fitproblem.get_fit_data()
	1130	model = fitproblem.get_model()
	1131	plot_id = None
	1132	if model is not None:
[6d8bad4]	1133	plot_id = data.id + model.name
[2dbffcc]	1134	if theory:
[e1bc51d]	1135	plot_id = data.id + model.name
[2dbffcc]	1136	group_id = data.group_id
	1137	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
[f32d144]	1138	group_id=group_id,
	1139	action='remove'))
[edcbd467]	1140
[2dbffcc]	1141	def store_data(self, uid, data_list=None, caption=None):
[31b0c47]	1142	"""
[2dbffcc]	1143	Recieve a list of data and store them ans well as a caption of
	1144	the fit page where they come from.
	1145	:param uid: if related to a fit page
	1146	:param data_list: list of data to fit
	1147	:param caption: caption of the window related to these data
[31b0c47]	1148	"""
[cc31608]	1149	if data_list is None:
	1150	data_list = []
[f7ef313]	1151
[2dbffcc]	1152	self.page_finder[uid].set_fit_data(data=data_list)
	1153	if caption is not None:
	1154	self.page_finder[uid].set_fit_tab_caption(caption=caption)
[f7ef313]	1155
[6bbeacd4]	1156	def on_add_new_page(self, event=None):
[edcbd467]	1157	"""
[6bbeacd4]	1158	ask fit panel to create a new empty page
[edcbd467]	1159	"""
	1160	try:
[6bbeacd4]	1161	page = self.fit_panel.add_empty_page()
[6450d8c]	1162	# add data associated to the page created
[f32d144]	1163	if page != None:
[f304194]	1164	wx.PostEvent(self.parent, StatusEvent(status="Page Created",
[31b0c47]	1165	info="info"))
[edcbd467]	1166	else:
[f304194]	1167	msg = "Page was already Created"
[a0da535]	1168	wx.PostEvent(self.parent, StatusEvent(status=msg,
	1169	info="warning"))
[1b1bbf9]	1170	self.set_top_panel()
[edcbd467]	1171	except:
[2dbffcc]	1172	msg = "Creating Fit page: %s"%sys.exc_value
	1173	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
[6bbeacd4]	1174
	1175	def add_fit_page(self, data):
	1176	"""
	1177	given a data, ask to the fitting panel to create a new fitting page,
	1178	get this page and store it into the page_finder of this plug-in
[2dbffcc]	1179	:param data: is a list of data
[6bbeacd4]	1180	"""
	1181	page = self.fit_panel.set_data(data)
[7f76f89]	1182	# page could be None when loading state files
	1183	if page == None:
	1184	return page
[6bbeacd4]	1185	#append Data1D to the panel containing its theory
	1186	#if theory already plotted
[66ff250]	1187	if page.uid in self.page_finder:
[cc31608]	1188	data = page.get_data()
[2dbffcc]	1189	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
[6bbeacd4]	1190	if issubclass(data.__class__, Data2D):
[e88ebfd]	1191	data.group_id = wx.NewId()
[a5701e6]	1192	if theory_data is not None:
[66ff250]	1193	group_id = str(page.uid) + " Model1D"
[f32d144]	1194	wx.PostEvent(self.parent,
[a5701e6]	1195	NewPlotEvent(group_id=group_id,
	1196	action="delete"))
[0fd2f27]	1197	self.parent.update_data(prev_data=theory_data,
[f32d144]	1198	new_data=data)
[6bbeacd4]	1199	else:
	1200	if theory_data is not None:
[66ff250]	1201	group_id = str(page.uid) + " Model2D"
[e88ebfd]	1202	data.group_id = theory_data.group_id
[a5701e6]	1203	wx.PostEvent(self.parent,
	1204	NewPlotEvent(group_id=group_id,
	1205	action="delete"))
[0fd2f27]	1206	self.parent.update_data(prev_data=theory_data,
[f32d144]	1207	new_data=data)
	1208	self.store_data(uid=page.uid, data_list=page.get_data_list(),
[2dbffcc]	1209	caption=page.window_caption)
[33dd2e5]	1210	if self.sim_page is not None and not self.batch_on:
[6bbeacd4]	1211	self.sim_page.draw_page()
[fa02d95]	1212	if self.batch_page is not None and self.batch_on:
	1213	self.batch_page.draw_page()
	1214
[1b1bbf9]	1215	return page
[6bbeacd4]	1216
[848a2ef]	1217	def _onEVT_SLICER_PANEL(self, event):
	1218	"""
[f32d144]	1219	receive and event telling to update a panel with a name starting with
	1220	event.panel_name. this method update slicer panel
[2e08a9f]	1221	for a given interactor.
[5062bbf]	1222
[f32d144]	1223	:param event: contains type of slicer , paramaters for updating
[2e08a9f]	1224	the panel and panel_name to find the slicer 's panel concerned.
[848a2ef]	1225	"""
	1226	for item in self.parent.panels:
[0fd2f27]	1227	name = event.panel_name
	1228	if self.parent.panels[item].window_caption.startswith(name):
[848a2ef]	1229	self.parent.panels[item].set_slicer(event.type, event.params)
[df4c3ad]	1230
	1231	self.parent._mgr.Update()
[b324aa9]	1232
[f32d144]	1233	def _closed_fitpage(self, event):
[848a2ef]	1234	"""
[f32d144]	1235	request fitpanel to close a given page when its unique data is removed
[5062bbf]	1236	from the plot. close fitpage only when the a loaded data is removed
[f32d144]	1237	"""
[784e2fa]	1238	if event is None or event.data is None:
	1239	return
[f32d144]	1240	if hasattr(event.data, "is_data"):
[a0da535]	1241	if not event.data.is_data or \
[66ff250]	1242	event.data.__class__.__name__ == "Data1D":
[f32d144]	1243	self.fit_panel.close_page_with_data(event.data)
[2dbffcc]	1244
[dc613d6]	1245	def _reset_schedule_problem(self, value=0, uid=None):
[6f023e8]	1246	"""
[5062bbf]	1247	unschedule or schedule all fitproblem to be fit
[6f023e8]	1248	"""
[dc613d6]	1249	# case that uid is not specified
	1250	if uid == None:
	1251	for page_id in self.page_finder.keys():
	1252	self.page_finder[page_id].schedule_tofit(value)
	1253	# when uid is given
	1254	else:
[2dbffcc]	1255	if uid in self.page_finder.keys():
	1256	self.page_finder[uid].schedule_tofit(value)
[dc613d6]	1257
[33dd2e5]	1258	def _fit_helper(self, fitproblem, pars, fitter, fit_id,
	1259	batch_inputs, batch_outputs):
[2140e68]	1260	"""
[2dbffcc]	1261	Create and set fit engine with series of data and model
	1262	:param pars: list of fittable parameters
	1263	:param fitter_list: list of fit engine
[f32d144]	1264	:param value: structure storing data mapped to their model, range etc.
[2140e68]	1265	"""
[922497f]	1266	data = fitproblem.get_fit_data()
	1267	model = fitproblem.get_model()
	1268	smearer = fitproblem.get_smearer()
	1269	qmin, qmax = fitproblem.get_range()
[29a4024]	1270
[922497f]	1271	#Extra list of parameters and their constraints
	1272	listOfConstraint = []
	1273	param = fitproblem.get_model_param()
	1274	if len(param) > 0:
	1275	for item in param:
	1276	## check if constraint
	1277	if item[0] != None and item[1] != None:
[f32d144]	1278	listOfConstraint.append((item[0], item[1]))
	1279	new_model = model
[41661a0]	1280	fitter.set_model(new_model, fit_id, pars, data=data,
	1281	constraints=listOfConstraint)
[f32d144]	1282	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
[922497f]	1283	qmax=qmax)
	1284	fitter.select_problem_for_fit(id=fit_id, value=1)
[7bd6cfae]	1285
[f32d144]	1286	def _onSelect(self, event):
	1287	"""
	1288	when Select data to fit a new page is created .Its reference is
[5062bbf]	1289	added to self.page_finder
[d89f09b]	1290	"""
[940aca7]	1291	panel = self.plot_panel
	1292	if panel == None:
	1293	raise ValueError, "Fitting:_onSelect: NonType panel"
[67e258c]	1294	Plugin.on_perspective(self, event=event)
[940aca7]	1295	self.select_data(panel)
[5e48acb]	1296
	1297	def select_data(self, panel):
	1298	"""
	1299	"""
[940aca7]	1300	for plottable in panel.graph.plottables:
[2fff4db]	1301	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
[940aca7]	1302	data_id = panel.graph.selected_plottable
	1303	if plottable == panel.plots[data_id]:
[6bbeacd4]	1304	data = plottable
[cc31608]	1305	self.add_fit_page(data=[data])
[edcbd467]	1306	return
[c77d859]	1307	else:
[6bbeacd4]	1308	data = plottable
[cc31608]	1309	self.add_fit_page(data=[data])
[1b1bbf9]	1310	self.set_top_panel()
[1c1436d]	1311
[66ff250]	1312	def update_fit(self, result=None, msg=""):
	1313	"""
	1314	"""
	1315	print "update_fit result", result
	1316
[f32d144]	1317	def _batch_fit_complete(self, result, pars, page_id,
[33dd2e5]	1318	batch_outputs, batch_inputs, elapsed=None):
[cc31608]	1319	"""
[f32d144]	1320	Display fit result in batch
[2dbffcc]	1321	:param result: list of objects received fromt fit engines
	1322	:param pars: list of fitted parameters names
	1323	:param page_id: list of page ids which called fit function
	1324	:param elapsed: time spent at the fitting level
[cc31608]	1325	"""
[92a5ac92]	1326	self._mac_sleep(0.2)
	1327	uid = page_id[0]
	1328	if uid in self.fit_thread_list.keys():
[f32d144]	1329	del self.fit_thread_list[uid]
[92a5ac92]	1330
[cc31608]	1331	self._update_fit_button(page_id)
[2bb37c3]	1332	t1 = time.time()
	1333	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1334	msg = "Fit completed on %s \n" % str_time
	1335	msg += "Duration time: %s s.\n" % str(elapsed)
[cc31608]	1336	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
[f32d144]	1337	type="stop"))
[fa02d95]	1338
[33dd2e5]	1339	if batch_outputs is None:
	1340	batch_outputs = {}
[fa02d95]	1341
	1342	# format batch_outputs
	1343	batch_outputs["Chi2"] = []
	1344	#Don't like these loops
[f32d144]	1345	# Need to create dictionary of all fitted parameters
[fa02d95]	1346	# since the number of parameters can differ between each fit result
	1347	for list_res in result:
	1348	for res in list_res:
	1349	model, data = res.inputs[0]
	1350	if model is not None and hasattr(model, "model"):
	1351	model = model.model
	1352	#get all fittable parameters of the current model
	1353	for param in model.getParamList():
	1354	if param not in batch_outputs.keys():
	1355	batch_outputs[param] = []
	1356	for param in model.getDispParamList():
	1357	if not model.is_fittable(param) and \
	1358	param in batch_outputs.keys():
	1359	del batch_outputs[param]
	1360	# Add fitted parameters and their error
	1361	for param in res.param_list:
	1362	if param not in batch_outputs.keys():
	1363	batch_outputs[param] = []
	1364	err_param = "error on %s" % str(param)
	1365	if err_param not in batch_inputs.keys():
	1366	batch_inputs[err_param] = []
	1367	msg = ""
	1368	for list_res in result:
	1369	for res in list_res:
	1370	pid = res.fitter_id
	1371	model, data = res.inputs[0]
	1372	correct_result = False
	1373	if model is not None and hasattr(model, "model"):
	1374	model = model.model
	1375	if data is not None and hasattr(data, "sans_data"):
	1376	data = data.sans_data
	1377
	1378	is_data2d = issubclass(data.__class__, Data2D)
	1379	#check consistency of arrays
	1380	if not is_data2d:
	1381	if len(res.theory) == len(res.index[res.index]) and \
	1382	len(res.index) == len(data.y):
[46c4ccb]	1383	correct_result = True
[fa02d95]	1384	else:
	1385	copy_data = deepcopy(data)
	1386	new_theory = copy_data.data
	1387	new_theory[res.index] = res.theory
[f32d144]	1388	new_theory[res.index == False] = numpy.nan
[fa02d95]	1389	correct_result = True
	1390	#get all fittable parameters of the current model
	1391	param_list = model.getParamList()
	1392	for param in model.getDispParamList():
	1393	if not model.is_fittable(param) and \
	1394	param in param_list:
[f32d144]	1395	param_list.remove(param)
[fa02d95]	1396	if not correct_result or res.fitness is None or \
	1397	not numpy.isfinite(res.fitness) or \
	1398	numpy.any(res.pvec == None) or not \
	1399	numpy.all(numpy.isfinite(res.pvec)):
	1400	data_name = str(None)
	1401	if data is not None:
	1402	data_name = str(data.name)
	1403	model_name = str(None)
	1404	if model is not None:
	1405	model_name = str(model.name)
[f32d144]	1406	msg += "Data %s and Model %s did not fit.\n" % (data_name,
[fa02d95]	1407	model_name)
	1408	ERROR = numpy.NAN
	1409	cell = BatchCell()
	1410	cell.label = res.fitness
	1411	cell.value = res.fitness
	1412	batch_outputs["Chi2"].append(ERROR)
	1413	for param in param_list:
	1414	# save value of fixed parameters
	1415	if param not in res.param_list:
	1416	batch_outputs[str(param)].append(ERROR)
	1417	else:
[4a52223]	1418	#save only fitted values
[fa02d95]	1419	batch_outputs[param].append(ERROR)
	1420	batch_inputs["error on %s" % str(param)].append(ERROR)
	1421	else:
[f32d144]	1422	# ToDo: Why sometimes res.pvec comes with numpy.float64?
[26e1001]	1423	# Need to fix it within ScipyEngine
[f32d144]	1424	if res.pvec.__class__ == numpy.float64:
[26e1001]	1425	res.pvec = [res.pvec]
	1426
[fa02d95]	1427	cell = BatchCell()
	1428	cell.label = res.fitness
	1429	cell.value = res.fitness
	1430	batch_outputs["Chi2"].append(cell)
	1431	# add parameters to batch_results
	1432	for param in param_list:
	1433	# save value of fixed parameters
	1434	if param not in res.param_list:
	1435	batch_outputs[str(param)].append(model.getParam(param))
	1436	else:
	1437	index = res.param_list.index(param)
[47d9be79]	1438	#save only fitted values
[fa02d95]	1439	batch_outputs[param].append(res.pvec[index])
	1440	if res.stderr is not None and \
	1441	len(res.stderr) == len(res.param_list):
[15f68ce]	1442	item = res.stderr[index]
[fa02d95]	1443	batch_inputs["error on %s" % param].append(item)
[356d2d3]	1444	else:
	1445	batch_inputs["error on %s" % param].append('-')
[fa02d95]	1446	model.setParam(param, res.pvec[index])
[f32d144]	1447	#fill the batch result with emtpy value if not in the current
[fa02d95]	1448	#model
	1449	EMPTY = "-"
	1450	for key in batch_outputs.keys():
	1451	if key not in param_list and key not in ["Chi2", "Data"]:
	1452	batch_outputs[key].append(EMPTY)
	1453
	1454	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
[f32d144]	1455	batch_outputs=batch_outputs)
[fa02d95]	1456
	1457	cpage = self.fit_panel.get_page_by_id(pid)
	1458	cpage._on_fit_complete()
	1459	self.page_finder[pid][data.id].set_result(res)
	1460	fitproblem = self.page_finder[pid][data.id]
	1461	qmin, qmax = fitproblem.get_range()
[a5f6748]	1462	plot_result = False
	1463	if correct_result:
[fa02d95]	1464	if not is_data2d:
[7619f50]	1465	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
[f32d144]	1466	elapsed=None,
	1467	index=res.index, model=model,
	1468	weight=None, fid=data.id,
	1469	toggle_mode_on=False, state=None,
	1470	data=data, update_chisqr=False,
	1471	source='fit', plot_result=plot_result)
[fa02d95]	1472	else:
	1473	self._complete2D(image=new_theory, data=data,
[f32d144]	1474	model=model,
	1475	page_id=pid, elapsed=None,
	1476	index=res.index,
	1477	qmin=qmin,
	1478	qmax=qmax, fid=data.id, weight=None,
	1479	toggle_mode_on=False, state=None,
	1480	update_chisqr=False,
	1481	source='fit', plot_result=plot_result)
	1482	self.on_set_batch_result(page_id=pid,
	1483	fid=data.id,
	1484	batch_outputs=batch_outputs,
[fa02d95]	1485	batch_inputs=batch_inputs)
[4a52223]	1486
[986da97]	1487	wx.PostEvent(self.parent, StatusEvent(status=msg, error="info",
[f32d144]	1488	type="stop"))
[1ac202f]	1489	# Remove parameters that are not shown
	1490	cpage = self.fit_panel.get_page_by_id(uid)
	1491	tbatch_outputs = {}
	1492	shownkeystr = cpage.get_copy_params()
	1493	for key in batch_outputs.keys():
[f32d144]	1494	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
[1ac202f]	1495	tbatch_outputs[key] = batch_outputs[key]
	1496
[f32d144]	1497	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1498	batch_inputs, self.sub_menu)
[92a5ac92]	1499
[f64a4b7]	1500	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1501	"""
	1502	"""
[f32d144]	1503	pid = page_id
[f64a4b7]	1504	if fid not in self.page_finder[pid]:
	1505	return
	1506	fitproblem = self.page_finder[pid][fid]
	1507	index = self.page_finder[pid].nbr_residuals_computed - 1
[f32d144]	1508	residuals = fitproblem.get_residuals()
[f64a4b7]	1509	theory_data = fitproblem.get_theory_data()
	1510	data = fitproblem.get_fit_data()
	1511	model = fitproblem.get_model()
	1512	#fill batch result information
	1513	if "Data" not in batch_outputs.keys():
	1514	batch_outputs["Data"] = []
	1515	from sans.guiframe.data_processor import BatchCell
[ec9a635]	1516	cell = BatchCell()
	1517	cell.label = data.name
	1518	cell.value = index
[6b3edc1]	1519
[ec9a635]	1520	if theory_data != None:
[6b3edc1]	1521	#Suucessful fit
	1522	theory_data.id = wx.NewId()
[b5fe787]	1523	theory_data.name = model.name + "[%s]" % str(data.name)
[e80e704]	1524	if issubclass(theory_data.__class__, Data2D):
	1525	group_id = wx.NewId()
	1526	theory_data.group_id = group_id
	1527	if group_id not in theory_data.list_group_id:
	1528	theory_data.list_group_id.append(group_id)
	1529
[ec9a635]	1530	try:
	1531	# associate residuals plot
[e80e704]	1532	if issubclass(residuals.__class__, Data2D):
	1533	group_id = wx.NewId()
	1534	residuals.group_id = group_id
	1535	if group_id not in residuals.list_group_id:
	1536	residuals.list_group_id.append(group_id)
[ec9a635]	1537	batch_outputs["Chi2"][index].object = [residuals]
	1538	except:
	1539	pass
	1540
	1541	cell.object = [data, theory_data]
	1542	batch_outputs["Data"].append(cell)
	1543	for key, value in data.meta_data.iteritems():
	1544	if key not in batch_inputs.keys():
	1545	batch_inputs[key] = []
[98fdccd]	1546	#if key.lower().strip() != "loader":
	1547	batch_inputs[key].append(value)
[ec9a635]	1548	param = "temperature"
	1549	if hasattr(data.sample, param):
	1550	if param not in batch_inputs.keys():
[f32d144]	1551	batch_inputs[param] = []
[ec9a635]	1552	batch_inputs[param].append(data.sample.temperature)
	1553
[6a4002d]	1554	def _fit_completed(self, result, page_id, batch_outputs,
[f32d144]	1555	batch_inputs=None, pars=None, elapsed=None):
[c77d859]	1556	"""
[2dbffcc]	1557	Display result of the fit on related panel(s).
	1558	:param result: list of object generated when fit ends
	1559	:param pars: list of names of parameters fitted
	1560	:param page_id: list of page ids which called fit function
	1561	:param elapsed: time spent at the fitting level
[c77d859]	1562	"""
[2bb37c3]	1563	t1 = time.time()
	1564	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1565	msg = "Fit completed on %s \n" % str_time
	1566	msg += "Duration time: %s s.\n" % str(elapsed)
	1567	wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
	1568	type="stop"))
[bb8a180]	1569	# reset fit_engine if changed by simul_fit
	1570	if self._fit_engine != self._gui_engine:
	1571	self._on_change_engine(self._gui_engine)
[2bb37c3]	1572	self._update_fit_button(page_id)
[922497f]	1573	result = result[0]
[dc613d6]	1574	self.fit_thread_list = {}
[66ff250]	1575	if page_id is None:
	1576	page_id = []
[f32d144]	1577	## fit more than 1 model at the same time
	1578	self._mac_sleep(0.2)
[ca7a626]	1579	try:
[6a4002d]	1580	index = 0
	1581	for uid in page_id:
	1582	res = result[index]
[7643ba2]	1583	if res.fitness is None or \
[6a4002d]	1584	not numpy.isfinite(res.fitness) or \
	1585	numpy.any(res.pvec == None) or \
	1586	not numpy.all(numpy.isfinite(res.pvec)):
	1587	msg = "Fitting did not converge!!!"
[f32d144]	1588	wx.PostEvent(self.parent,
	1589	StatusEvent(status=msg,
[6a4002d]	1590	info="warning",
	1591	type="stop"))
	1592	self._update_fit_button(page_id)
	1593	else:
[0438933]	1594	#set the panel when fit result are float not list
[f32d144]	1595	if res.pvec.__class__ == numpy.float64:
[0438933]	1596	pvec = [res.pvec]
	1597	else:
	1598	pvec = res.pvec
[f32d144]	1599	if res.stderr.__class__ == numpy.float64:
[0438933]	1600	stderr = [res.stderr]
	1601	else:
	1602	stderr = res.stderr
[7643ba2]	1603	cpage = self.fit_panel.get_page_by_id(uid)
[f32d144]	1604	# Make sure we got all results
[7643ba2]	1605	#(CallAfter is important to MAC)
[8b1d759]	1606	try:
	1607	#if res != None:
[f32d144]	1608	wx.CallAfter(cpage.onsetValues, res.fitness,
	1609	res.param_list,
[8b1d759]	1610	pvec, stderr)
	1611	index += 1
	1612	wx.CallAfter(cpage._on_fit_complete)
[986da97]	1613	except KeyboardInterrupt:
	1614	msg = "Singular point: Fitting Stoped."
	1615	wx.PostEvent(self.parent, StatusEvent(status=msg,
	1616	info="info",
	1617	type="stop"))
[8b1d759]	1618	except:
[2d0756a5]	1619	msg = "Singular point: Fitting Error occurred."
[f32d144]	1620	wx.PostEvent(self.parent, StatusEvent(status=msg,
	1621	info="error",
	1622	type="stop"))
[8b1d759]	1623
[6a4002d]	1624	except:
[2d9c7266]	1625	msg = "Fit completed but Following"
	1626	msg += " warning occurred: %s" % sys.exc_value
	1627	wx.PostEvent(self.parent, StatusEvent(status=msg, info="warning",
[2296316]	1628	type="stop"))
[6a4002d]	1629
[12cd4ec]	1630	def _update_fit_button(self, page_id):
	1631	"""
	1632	Update Fit button when fit stopped
	1633
	1634	: parameter page_id: fitpage where the button is
	1635	"""
[37290c4]	1636	if page_id.__class__.__name__ != 'list':
	1637	page_id = [page_id]
[f32d144]	1638	for uid in page_id:
[12cd4ec]	1639	page = self.fit_panel.get_page_by_id(uid)
	1640	page._on_fit_complete()
	1641
[c77d859]	1642	def _on_show_panel(self, event):
[5062bbf]	1643	"""
	1644	"""
	1645	pass
[da6fd1a]	1646
	1647	def on_reset_batch_flag(self, event):
	1648	"""
	1649	Set batch_reset_flag
	1650	"""
	1651	event.Skip()
[dafc36f]	1652	if self.menu1 == None:
	1653	return
[da6fd1a]	1654	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1655	flag = menu_item.IsChecked()
	1656	if not flag:
	1657	menu_item.Check(False)
	1658	self.batch_reset_flag = True
	1659	else:
	1660	menu_item.Check(True)
	1661	self.batch_reset_flag = False
[5062bbf]	1662
[da6fd1a]	1663	## post a message to status bar
	1664	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
[f32d144]	1665	wx.PostEvent(self.parent,
[da6fd1a]	1666	StatusEvent(status=msg))
	1667
[f32d144]	1668	def _onset_engine_park(self, event):
[c77d859]	1669	"""
[5062bbf]	1670	set engine to park
[c77d859]	1671	"""
	1672	self._on_change_engine('park')
	1673
[f32d144]	1674	def _onset_engine_scipy(self, event):
[c77d859]	1675	"""
[5062bbf]	1676	set engine to scipy
[c77d859]	1677	"""
	1678	self._on_change_engine('scipy')
	1679
	1680	def _on_slicer_event(self, event):
	1681	"""
[f32d144]	1682	Receive a panel as event and send it to guiframe
[5062bbf]	1683
	1684	:param event: event containing a panel
	1685
[c77d859]	1686	"""
[5062bbf]	1687	if event.panel is not None:
[c77d859]	1688	new_panel = event.panel
[c3435b7f]	1689	self.slicer_panels.append(event.panel)
[c77d859]	1690	# Set group ID if available
	1691	event_id = self.parent.popup_panel(new_panel)
	1692	new_panel.uid = event_id
[f32d144]	1693	self.mypanels.append(new_panel)
[5062bbf]	1694
[848a2ef]	1695	def _onclearslicer(self, event):
	1696	"""
[5062bbf]	1697	Clear the boxslicer when close the panel associate with this slicer
[848a2ef]	1698	"""
[f32d144]	1699	name = event.GetPane().caption
[c3435b7f]	1700
	1701	for panel in self.slicer_panels:
[f32d144]	1702	if panel.window_caption == name:
[c3435b7f]	1703
[df4c3ad]	1704	for item in self.parent.panels:
[2dbffcc]	1705	if hasattr(self.parent.panels[item], "uid"):
[f32d144]	1706	if self.parent.panels[item].uid == panel.base.uid:
[df4c3ad]	1707	self.parent.panels[item].onClearSlicer(event)
	1708	self.parent._mgr.Update()
[f32d144]	1709	break
[c3435b7f]	1710	break
[5062bbf]	1711
[707436d]	1712	def _return_engine_type(self):
	1713	"""
[5062bbf]	1714	return the current type of engine
[707436d]	1715	"""
	1716	return self._fit_engine
	1717
[c77d859]	1718	def _on_change_engine(self, engine='park'):
	1719	"""
[f32d144]	1720	Allow to select the type of engine to perform fit
[5062bbf]	1721
	1722	:param engine: the key work of the engine
	1723
[c77d859]	1724	"""
[77e23a2]	1725	## saving fit engine name
[c77d859]	1726	self._fit_engine = engine
[707436d]	1727	## change menu item state
[2dbffcc]	1728	if engine == "park":
[0b6ae5f]	1729	self.menu1.FindItemById(self.park_id).Check(True)
	1730	self.menu1.FindItemById(self.scipy_id).Check(False)
[707436d]	1731	else:
[0b6ae5f]	1732	self.menu1.FindItemById(self.park_id).Check(False)
	1733	self.menu1.FindItemById(self.scipy_id).Check(True)
[77e23a2]	1734	## post a message to status bar
[a0da535]	1735	msg = "Engine set to: %s" % self._fit_engine
[f32d144]	1736	wx.PostEvent(self.parent,
[a0da535]	1737	StatusEvent(status=msg))
[66ff250]	1738	## send the current engine type to fitpanel
	1739	self.fit_panel._on_engine_change(name=self._fit_engine)
[dc613d6]	1740
[c77d859]	1741	def _on_model_panel(self, evt):
	1742	"""
[5062bbf]	1743	react to model selection on any combo box or model menu.plot the model
	1744
	1745	:param evt: wx.combobox event
	1746
[c77d859]	1747	"""
	1748	model = evt.model
[f32d144]	1749	uid = evt.uid
[6bbeacd4]	1750	qmin = evt.qmin
	1751	qmax = evt.qmax
[2dbffcc]	1752	caption = evt.caption
	1753	enable_smearer = evt.enable_smearer
[9237df4]	1754	if model == None:
[c77d859]	1755	return
[2dbffcc]	1756	if uid not in self.page_finder.keys():
	1757	return
[6bbeacd4]	1758	# save the name containing the data name with the appropriate model
[66ff250]	1759	self.page_finder[uid].set_model(model)
[2dbffcc]	1760	self.page_finder[uid].enable_smearing(enable_smearer)
[66ff250]	1761	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
[2dbffcc]	1762	self.page_finder[uid].set_fit_tab_caption(caption=caption)
[33dd2e5]	1763	if self.sim_page is not None and not self.batch_on:
[6bbeacd4]	1764	self.sim_page.draw_page()
[fa02d95]	1765	if self.batch_page is not None and self.batch_on:
	1766	self.batch_page.draw_page()
[5062bbf]	1767
[2dbffcc]	1768	def _update1D(self, x, output):
[bb18ef1]	1769	"""
[5062bbf]	1770	Update the output of plotting model 1D
[bb18ef1]	1771	"""
[58e0c83]	1772	msg = "Plot updating ... "
[f32d144]	1773	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
[e575db9]	1774
[ad3fa1e]	1775	def _complete1D(self, x, y, page_id, elapsed, index, model,
[f64a4b7]	1776	weight=None, fid=None,
[f32d144]	1777	toggle_mode_on=False, state=None,
	1778	data=None, update_chisqr=True,
[a5f6748]	1779	source='model', plot_result=True):
[c77d859]	1780	"""
[5062bbf]	1781	Complete plotting 1D data
[f32d144]	1782	"""
[c77d859]	1783	try:
[1ec979d]	1784	numpy.nan_to_num(y)
	1785
[6bbeacd4]	1786	new_plot = Data1D(x=x, y=y)
[dce84c0]	1787	new_plot.is_data = False
[55d2f7e]	1788	new_plot.dy = numpy.zeros(len(y))
[6bbeacd4]	1789	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
[f32d144]	1790	_yaxis, _yunit = data.get_yaxis()
	1791	_xaxis, _xunit = data.get_xaxis()
[2dbffcc]	1792	new_plot.title = data.name
[5e48acb]	1793
[f32d144]	1794	new_plot.group_id = data.group_id
[5e48acb]	1795	if new_plot.group_id == None:
	1796	new_plot.group_id = data.group_id
[657e52c]	1797	new_plot.id = str(page_id) + " " + data.name
[a582d28]	1798	#if new_plot.id in self.color_dict:
[f32d144]	1799	# new_plot.custom_color = self.color_dict[new_plot.id]
[6bbeacd4]	1800	#find if this theory was already plotted and replace that plot given
	1801	#the same id
[2dbffcc]	1802	theory_data = self.page_finder[page_id].get_theory_data(fid=data.id)
[71e5c11]	1803
	1804	if data.is_data:
	1805	data_name = str(data.name)
	1806	else:
	1807	data_name = str(model.__class__.__name__)
	1808
[f32d144]	1809	new_plot.name = model.name + " [" + data_name +"]"
[6bbeacd4]	1810	new_plot.xaxis(_xaxis, _xunit)
	1811	new_plot.yaxis(_yaxis, _yunit)
[f32d144]	1812	self.page_finder[page_id].set_theory_data(data=new_plot,
[2e08a9f]	1813	fid=data.id)
[2dbffcc]	1814	self.parent.update_theory(data_id=data.id, theory=new_plot,
[f32d144]	1815	state=state)
[66ff250]	1816	current_pg = self.fit_panel.get_page_by_id(page_id)
[ae4ade7]	1817	title = new_plot.title
[eb4f2fd]	1818	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1819	if not batch_on:
	1820	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[2dbffcc]	1821	title=str(title)))
[a5f6748]	1822	elif plot_result:
[90a2358]	1823	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1824	if data.id == top_data_id:
	1825	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[f32d144]	1826	title=str(title)))
[2dbffcc]	1827	caption = current_pg.window_caption
	1828	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
[7643ba2]	1829
[f32d144]	1830	self.page_finder[page_id].set_theory_data(data=new_plot,
[2dbffcc]	1831	fid=data.id)
	1832	if toggle_mode_on:
[f32d144]	1833	wx.PostEvent(self.parent,
[2dbffcc]	1834	NewPlotEvent(group_id=str(page_id) + " Model2D",
[f32d144]	1835	action="Hide"))
[2296316]	1836	else:
[2dbffcc]	1837	if update_chisqr:
	1838	wx.PostEvent(current_pg,
[2e08a9f]	1839	Chi2UpdateEvent(output=self._cal_chisqr(
	1840	data=data,
[f64a4b7]	1841	fid=fid,
[62f851f]	1842	weight=weight,
[2dbffcc]	1843	page_id=page_id,
	1844	index=index)))
	1845	else:
[f64a4b7]	1846	self._plot_residuals(page_id=page_id, data=data, fid=fid,
[f32d144]	1847	index=index, weight=weight)
[cfbd06a]	1848
[d522635]	1849	msg = "Computation completed!"
[f32d144]	1850	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[c77d859]	1851	except:
[6bbeacd4]	1852	raise
[5062bbf]	1853
[f32d144]	1854	def _update2D(self, output, time=None):
[c77d859]	1855	"""
[5062bbf]	1856	Update the output of plotting model
[c77d859]	1857	"""
[58e0c83]	1858	wx.PostEvent(self.parent, StatusEvent(status="Plot \
[a0da535]	1859	#updating ... ", type="update"))
[a2cb1f9]	1860	#self.ready_fit()
[58e0c83]	1861
[f32d144]	1862	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1863	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
[a5f6748]	1864	update_chisqr=True, source='model', plot_result=True):
[c77d859]	1865	"""
[5062bbf]	1866	Complete get the result of modelthread and create model 2D
	1867	that can be plot.
[c77d859]	1868	"""
[1ec979d]	1869	numpy.nan_to_num(image)
[f32d144]	1870	new_plot = Data2D(image=image, err_image=data.err_data)
[743f480]	1871	new_plot.name = model.name + '2d'
[818589a]	1872	new_plot.title = "Analytical model 2D "
[657e52c]	1873	new_plot.id = str(page_id) + " " + data.name
[f3242cf]	1874	new_plot.group_id = str(page_id) + " Model2D"
[2dbffcc]	1875	new_plot.detector = data.detector
	1876	new_plot.source = data.source
[f32d144]	1877	new_plot.is_data = False
[2dbffcc]	1878	new_plot.qx_data = data.qx_data
	1879	new_plot.qy_data = data.qy_data
	1880	new_plot.q_data = data.q_data
	1881	new_plot.mask = data.mask
	1882	## plot boundaries
	1883	new_plot.ymin = data.ymin
	1884	new_plot.ymax = data.ymax
	1885	new_plot.xmin = data.xmin
	1886	new_plot.xmax = data.xmax
	1887	title = data.title
[71e5c11]	1888
[dce84c0]	1889	new_plot.is_data = False
[71e5c11]	1890	if data.is_data:
	1891	data_name = str(data.name)
	1892	else:
[743f480]	1893	data_name = str(model.__class__.__name__) + '2d'
[71e5c11]	1894
	1895	if len(title) > 1:
[940aca7]	1896	new_plot.title = "Model2D for %s "% model.name + data_name
[53cf669]	1897	new_plot.name = model.name + " [" + \
[940aca7]	1898	data_name + "]"
[fa65e99]	1899	theory_data = deepcopy(new_plot)
[6bbeacd4]	1900
[f32d144]	1901	self.page_finder[page_id].set_theory_data(data=theory_data,
	1902	fid=data.id)
	1903	self.parent.update_theory(data_id=data.id,
[05319e2]	1904	theory=new_plot,
[f32d144]	1905	state=state)
[66ff250]	1906	current_pg = self.fit_panel.get_page_by_id(page_id)
[ae4ade7]	1907	title = new_plot.title
[a5f6748]	1908	if not source == 'fit' and plot_result:
[763bec8]	1909	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[ae4ade7]	1910	title=title))
[2dbffcc]	1911	if toggle_mode_on:
[f32d144]	1912	wx.PostEvent(self.parent,
[2dbffcc]	1913	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1914	action="Hide"))
[2296316]	1915	else:
[2dbffcc]	1916	# Chisqr in fitpage
	1917	if update_chisqr:
	1918	wx.PostEvent(current_pg,
	1919	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
[62f851f]	1920	weight=weight,
[f64a4b7]	1921	fid=fid,
[2dbffcc]	1922	page_id=page_id,
	1923	index=index)))
	1924	else:
[f64a4b7]	1925	self._plot_residuals(page_id=page_id, data=data, fid=fid,
[62f851f]	1926	index=index, weight=weight)
[d522635]	1927	msg = "Computation completed!"
[a0da535]	1928	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[6bbeacd4]	1929
[2dbffcc]	1930	def _draw_model2D(self, model, page_id, qmin,
	1931	qmax,
	1932	data=None, smearer=None,
[a0da535]	1933	description=None, enable2D=False,
[5ef55d2]	1934	state=None,
[f64a4b7]	1935	fid=None,
[62f851f]	1936	weight=None,
[fa65e99]	1937	toggle_mode_on=False,
[e3f6ef5]	1938	update_chisqr=True, source='model'):
[f93dfcb]	1939	"""
[5062bbf]	1940	draw model in 2D
	1941
	1942	:param model: instance of the model to draw
	1943	:param description: the description of the model
	1944	:param enable2D: when True allows to draw model 2D
	1945	:param qmin: the minimum value to draw model 2D
	1946	:param qmax: the maximum value to draw model 2D
	1947	:param qstep: the number of division of Qx and Qy of the model to draw
[f93dfcb]	1948
	1949	"""
[c77d859]	1950	if not enable2D:
[2dbffcc]	1951	return None
[c77d859]	1952	try:
	1953	from model_thread import Calc2D
	1954	## If a thread is already started, stop it
[a0da535]	1955	if (self.calc_2D is not None) and self.calc_2D.isrunning():
[c77d859]	1956	self.calc_2D.stop()
[f32d144]	1957	self.calc_2D = Calc2D(model=model,
[a0da535]	1958	data=data,
[66ff250]	1959	page_id=page_id,
[a0da535]	1960	smearer=smearer,
	1961	qmin=qmin,
	1962	qmax=qmax,
[62f851f]	1963	weight=weight,
[f64a4b7]	1964	fid=fid,
[fa65e99]	1965	toggle_mode_on=toggle_mode_on,
[5ef55d2]	1966	state=state,
[2296316]	1967	completefn=self._complete2D,
[e3f6ef5]	1968	update_chisqr=update_chisqr, source=source)
[c77d859]	1969	self.calc_2D.queue()
	1970	except:
[6bbeacd4]	1971	raise
[f72333f]	1972
[f32d144]	1973	def _draw_model1D(self, model, page_id, data,
[2dbffcc]	1974	qmin, qmax, smearer=None,
[5ef55d2]	1975	state=None,
[62f851f]	1976	weight=None,
[f32d144]	1977	fid=None,
[e3f6ef5]	1978	toggle_mode_on=False, update_chisqr=True, source='model',
[2296316]	1979	enable1D=True):
[c77d859]	1980	"""
[5062bbf]	1981	Draw model 1D from loaded data1D
	1982
	1983	:param data: loaded data
	1984	:param model: the model to plot
	1985
[c77d859]	1986	"""
	1987	if not enable1D:
[f32d144]	1988	return
[c77d859]	1989	try:
	1990	from model_thread import Calc1D
	1991	## If a thread is already started, stop it
[a0da535]	1992	if (self.calc_1D is not None) and self.calc_1D.isrunning():
[c77d859]	1993	self.calc_1D.stop()
[2dbffcc]	1994	self.calc_1D = Calc1D(data=data,
[6bbeacd4]	1995	model=model,
[66ff250]	1996	page_id=page_id,
[a0da535]	1997	qmin=qmin,
	1998	qmax=qmax,
	1999	smearer=smearer,
[5ef55d2]	2000	state=state,
[62f851f]	2001	weight=weight,
[f64a4b7]	2002	fid=fid,
[fa65e99]	2003	toggle_mode_on=toggle_mode_on,
[2296316]	2004	completefn=self._complete1D,
	2005	#updatefn = self._update1D,
[e3f6ef5]	2006	update_chisqr=update_chisqr,
	2007	source=source)
[c77d859]	2008	self.calc_1D.queue()
	2009	except:
[a0da535]	2010	msg = " Error occurred when drawing %s Model 1D: " % model.name
	2011	msg += " %s" % sys.exc_value
	2012	wx.PostEvent(self.parent, StatusEvent(status=msg))
[2dbffcc]	2013
[f32d144]	2014	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
[f72333f]	2015	"""
[5062bbf]	2016	Get handy Chisqr using the output from draw1D and 2D,
	2017	instead of calling expansive CalcChisqr in guithread
[f72333f]	2018	"""
[f32d144]	2019	data_copy = deepcopy(data)
[f72333f]	2020	# default chisqr
	2021	chisqr = None
[2dbffcc]	2022	#to compute chisq make sure data has valid data
[f72333f]	2023	# return None if data == None
[df9e0fc]	2024	if not check_data_validity(data_copy) or data_copy == None:
[2dbffcc]	2025	return chisqr
[df9e0fc]	2026
[f72333f]	2027	# Get data: data I, theory I, and data dI in order
[ca2bdae]	2028	if data_copy.__class__.__name__ == "Data2D":
[f32d144]	2029	if index == None:
[dbb3914]	2030	index = numpy.ones(len(data_copy.data), dtype=bool)
[62f851f]	2031	if weight != None:
	2032	data_copy.err_data = weight
[a0da535]	2033	# get rid of zero error points
[f32d144]	2034	index = index & (data_copy.err_data != 0)
	2035	index = index & (numpy.isfinite(data_copy.data))
	2036	fn = data_copy.data[index]
[ca2bdae]	2037	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[f32d144]	2038	if theory_data == None:
[df9e0fc]	2039	return chisqr
[6bbeacd4]	2040	gn = theory_data.data[index]
[ca2bdae]	2041	en = data_copy.err_data[index]
[f72333f]	2042	else:
	2043	# 1 d theory from model_thread is only in the range of index
[2296316]	2044	if index == None:
[dbb3914]	2045	index = numpy.ones(len(data_copy.y), dtype=bool)
[62f851f]	2046	if weight != None:
	2047	data_copy.dy = weight
[ca2bdae]	2048	if data_copy.dy == None or data_copy.dy == []:
	2049	dy = numpy.ones(len(data_copy.y))
[f151ddf]	2050	else:
[a0da535]	2051	## Set consitently w/AbstractFitengine:
	2052	# But this should be corrected later.
[ca2bdae]	2053	dy = deepcopy(data_copy.dy)
[f32d144]	2054	dy[dy == 0] = 1
	2055	fn = data_copy.y[index]
[eb4f2fd]	2056
[ca2bdae]	2057	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[f32d144]	2058	if theory_data == None:
[df9e0fc]	2059	return chisqr
[6bbeacd4]	2060	gn = theory_data.y
[4d5fa8c]	2061	en = dy[index]
[162c778]	2062
[f72333f]	2063	# residual
[162c778]	2064	try:
	2065	res = (fn - gn) / en
	2066	except ValueError:
	2067	print "Unmatch lengths %s, %s, %s"% (len(fn), len(gn), len(en))
	2068	return
	2069
[2296316]	2070	residuals = res[numpy.isfinite(res)]
[f72333f]	2071	# get chisqr only w/finite
[2296316]	2072	chisqr = numpy.average(residuals * residuals)
[eb4f2fd]	2073
[f32d144]	2074	self._plot_residuals(page_id=page_id, data=data_copy,
[f64a4b7]	2075	fid=fid,
[62f851f]	2076	weight=weight, index=index)
[ca2bdae]	2077
[f72333f]	2078	return chisqr
	2079
[f64a4b7]	2080	def _plot_residuals(self, page_id, weight, fid=None,
[f32d144]	2081	data=None, index=None):
[2296316]	2082	"""
	2083	Plot the residuals
	2084
	2085	:param data: data
[f32d144]	2086	:param index: index array (bool)
[2296316]	2087	: Note: this is different from the residuals in cal_chisqr()
	2088	"""
[ca2bdae]	2089	data_copy = deepcopy(data)
[2296316]	2090	# Get data: data I, theory I, and data dI in order
[ca2bdae]	2091	if data_copy.__class__.__name__ == "Data2D":
[2296316]	2092	# build residuals
	2093	residuals = Data2D()
	2094	#residuals.copy_from_datainfo(data)
	2095	# Not for trunk the line below, instead use the line above
[ca2bdae]	2096	data_copy.clone_without_data(len(data_copy.data), residuals)
[2296316]	2097	residuals.data = None
[f32d144]	2098	fn = data_copy.data
[ca2bdae]	2099	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[f32d144]	2100	gn = theory_data.data
[9fa4a4d]	2101	if weight == None:
	2102	en = data_copy.err_data
	2103	else:
	2104	en = weight
[f32d144]	2105	residuals.data = (fn - gn) / en
	2106	residuals.qx_data = data_copy.qx_data
	2107	residuals.qy_data = data_copy.qy_data
	2108	residuals.q_data = data_copy.q_data
	2109	residuals.err_data = numpy.ones(len(residuals.data))
[2296316]	2110	residuals.xmin = min(residuals.qx_data)
	2111	residuals.xmax = max(residuals.qx_data)
	2112	residuals.ymin = min(residuals.qy_data)
	2113	residuals.ymax = max(residuals.qy_data)
[f32d144]	2114	residuals.q_data = data_copy.q_data
[ca2bdae]	2115	residuals.mask = data_copy.mask
[2296316]	2116	residuals.scale = 'linear'
	2117	# check the lengths
	2118	if len(residuals.data) != len(residuals.q_data):
	2119	return
	2120	else:
	2121	# 1 d theory from model_thread is only in the range of index
[ca2bdae]	2122	if data_copy.dy == None or data_copy.dy == []:
	2123	dy = numpy.ones(len(data_copy.y))
[2296316]	2124	else:
[62f851f]	2125	if weight == None:
[90a1440]	2126	dy = numpy.ones(len(data_copy.y))
[f32d144]	2127	## Set consitently w/AbstractFitengine:
[2296316]	2128	## But this should be corrected later.
[90a1440]	2129	else:
[f32d144]	2130	dy = weight
	2131	dy[dy == 0] = 1
	2132	fn = data_copy.y[index]
[ca2bdae]	2133	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[2296316]	2134	gn = theory_data.y
	2135	en = dy[index]
	2136	# build residuals
	2137	residuals = Data1D()
[ffdfd23]	2138	try:
	2139	residuals.y = (fn - gn) / en
	2140	except:
	2141	msg = "ResidualPlot Error: different # of data points in theory"
	2142	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	2143	residuals.y = (fn - gn[index]) / en
[ca2bdae]	2144	residuals.x = data_copy.x[index]
[2296316]	2145	residuals.dy = numpy.ones(len(residuals.y))
	2146	residuals.dx = None
	2147	residuals.dxl = None
	2148	residuals.dxw = None
	2149	residuals.ytransform = 'y'
	2150	# For latter scale changes
	2151	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2152	residuals.yaxis('\\rm{Residuals} ', 'normalized')
[940aca7]	2153	theory_name = str(theory_data.name.split()[0])
[2296316]	2154	new_plot = residuals
[940aca7]	2155	new_plot.name = "Residuals for " + str(theory_name) + "[" +\
	2156	str(data.name) +"]"
[2296316]	2157	## allow to highlight data when plotted
	2158	new_plot.interactive = True
	2159	## when 2 data have the same id override the 1 st plotted
[940aca7]	2160	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
[2296316]	2161	##group_id specify on which panel to plot this data
[5e48acb]	2162	group_id = self.page_finder[page_id].get_graph_id()
	2163	if group_id == None:
	2164	group_id = data.group_id
[f32d144]	2165	new_plot.group_id = "res" + str(group_id)
[2296316]	2166	#new_plot.is_data = True
	2167	##post data to plot
[f32d144]	2168	title = new_plot.name
	2169	self.page_finder[page_id].set_residuals(residuals=new_plot,
	2170	fid=data.id)
[2de278d9]	2171	self.parent.update_theory(data_id=data.id, theory=new_plot)
[f64a4b7]	2172	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
[5cf1e5b]	2173	if not batch_on:
	2174	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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source: sasview/fittingview/src/sans/perspectives/fitting/fitting.py @ fad6056

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