fitting.py @ 3563e06

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalcmagnetic_scattrelease-4.1.2release-4.2.2ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since 3563e06 was 4c5098c, checked in by GitHub <noreply@…>, 8 years ago
Fixes #741 Remove P(Q), S(Q) feature
Property mode set to `100755`
File size: 88.2 KB

Rev	Line
[f76bf17]	1	"""
	2	Fitting perspective
	3	"""
	4	################################################################################
	5	#This software was developed by the University of Tennessee as part of the
	6	#Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
	7	#project funded by the US National Science Foundation.
	8	#
	9	#See the license text in license.txt
	10	#
	11	#copyright 2009, University of Tennessee
	12	################################################################################
	13	import re
	14	import sys
	15	import os
	16	import wx
	17	import logging
	18	import numpy
	19	import time
	20	from copy import deepcopy
[934ce649]	21	import traceback
[f76bf17]	22
[b699768]	23	from sas.sascalc.dataloader.loader import Loader
[d85c194]	24	from sas.sasgui.guiframe.dataFitting import Data2D
	25	from sas.sasgui.guiframe.dataFitting import Data1D
	26	from sas.sasgui.guiframe.dataFitting import check_data_validity
	27	from sas.sasgui.guiframe.events import NewPlotEvent
	28	from sas.sasgui.guiframe.events import StatusEvent
	29	from sas.sasgui.guiframe.events import EVT_SLICER_PANEL
	30	from sas.sasgui.guiframe.events import EVT_SLICER_PARS_UPDATE
	31	from sas.sasgui.guiframe.gui_style import GUIFRAME_ID
	32	from sas.sasgui.guiframe.plugin_base import PluginBase
	33	from sas.sasgui.guiframe.data_processor import BatchCell
[b699768]	34	from sas.sascalc.fit.BumpsFitting import BumpsFit as Fit
[d85c194]	35	from sas.sasgui.perspectives.fitting.console import ConsoleUpdate
	36	from sas.sasgui.perspectives.fitting.fitproblem import FitProblemDictionary
	37	from sas.sasgui.perspectives.fitting.fitpanel import FitPanel
	38	from sas.sasgui.perspectives.fitting.resultpanel import ResultPanel, PlotResultEvent
	39
	40	from sas.sasgui.perspectives.fitting.fit_thread import FitThread
	41	from sas.sasgui.perspectives.fitting.pagestate import Reader
	42	from sas.sasgui.perspectives.fitting.fitpage import Chi2UpdateEvent
	43	from sas.sasgui.perspectives.calculator.model_editor import TextDialog
	44	from sas.sasgui.perspectives.calculator.model_editor import EditorWindow
	45	from sas.sasgui.guiframe.gui_manager import MDIFrame
	46	from sas.sasgui.guiframe.documentation_window import DocumentationWindow
[73cbeec]	47	from sas.sasgui.perspectives.fitting.gpu_options import GpuOptions
[f76bf17]	48
[934ce649]	49	from . import models
	50
[f76bf17]	51	MAX_NBR_DATA = 4
	52
	53	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
	54
	55
	56	if sys.platform == "win32":
	57	ON_MAC = False
	58	else:
	59	ON_MAC = True
	60
[05228b0]	61	import bumps.options
	62	from bumps.gui.fit_dialog import show_fit_config
	63	try:
	64	from bumps.gui.fit_dialog import EVT_FITTER_CHANGED
	65	except ImportError:
[243fbc0]	66	# CRUFT: bumps 0.7.5.8 and below
[05228b0]	67	EVT_FITTER_CHANGED = None # type: wx.PyCommandEvent
[f76bf17]	68
	69	class Plugin(PluginBase):
	70	"""
	71	Fitting plugin is used to perform fit
	72	"""
[f21d496]	73	def __init__(self):
	74	PluginBase.__init__(self, name="Fitting")
[f76bf17]	75
	76	#list of panel to send to guiframe
	77	self.mypanels = []
	78	# reference to the current running thread
	79	self.calc_2D = None
	80	self.calc_1D = None
	81
	82	self.color_dict = {}
	83
	84	self.fit_thread_list = {}
	85	self.residuals = None
	86	self.weight = None
	87	self.fit_panel = None
	88	self.plot_panel = None
	89	# Start with a good default
	90	self.elapsed = 0.022
	91	self.fit_panel = None
	92	## dictionary of page closed and id
	93	self.closed_page_dict = {}
	94	## Relative error desired in the sum of squares (float)
	95	self.batch_reset_flag = True
	96	#List of selected data
	97	self.selected_data_list = []
	98	## list of slicer panel created to display slicer parameters and results
	99	self.slicer_panels = []
	100	# model 2D view
	101	self.model2D_id = None
	102	#keep reference of the simultaneous fit page
	103	self.sim_page = None
	104	self.sim_menu = None
	105	self.batch_page = None
	106	self.batch_menu = None
	107	self.index_model = 0
	108	self.test_model_color = None
	109	#Create a reader for fit page's state
	110	self.state_reader = None
	111	self._extensions = '.fitv'
	112	self.menu1 = None
	113	self.new_model_frame = None
	114
	115	self.temp_state = []
	116	self.state_index = 0
	117	self.sfile_ext = None
	118	# take care of saving data, model and page associated with each other
	119	self.page_finder = {}
	120	# Log startup
	121	logging.info("Fitting plug-in started")
	122	self.batch_capable = self.get_batch_capable()
	123
	124	def get_batch_capable(self):
	125	"""
	126	Check if the plugin has a batch capability
	127	"""
	128	return True
	129
	130	def create_fit_problem(self, page_id):
	131	"""
	132	Given an ID create a fitproblem container
	133	"""
	134	self.page_finder[page_id] = FitProblemDictionary()
	135
	136	def delete_fit_problem(self, page_id):
	137	"""
	138	Given an ID create a fitproblem container
	139	"""
	140	if page_id in self.page_finder.iterkeys():
	141	del self.page_finder[page_id]
	142
	143	def add_color(self, color, id):
	144	"""
	145	adds a color as a key with a plot id as its value to a dictionary
	146	"""
	147	self.color_dict[id] = color
	148
	149	def on_batch_selection(self, flag):
	150	"""
	151	switch the the notebook of batch mode or not
	152	"""
	153	self.batch_on = flag
	154	if self.fit_panel is not None:
	155	self.fit_panel.batch_on = self.batch_on
	156
	157	def populate_menu(self, owner):
	158	"""
	159	Create a menu for the Fitting plug-in
	160
	161	:param id: id to create a menu
	162	:param owner: owner of menu
	163
	164	:return: list of information to populate the main menu
	165
	166	"""
	167	#Menu for fitting
	168	self.menu1 = wx.Menu()
	169	id1 = wx.NewId()
	170	simul_help = "Add new fit panel"
	171	self.menu1.Append(id1, '&New Fit Page', simul_help)
	172	wx.EVT_MENU(owner, id1, self.on_add_new_page)
	173	self.menu1.AppendSeparator()
	174	self.id_simfit = wx.NewId()
	175	simul_help = "Constrained or Simultaneous Fit"
	176	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
	177	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
	178	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
	179	self.sim_menu.Enable(False)
	180	#combined Batch
	181	self.id_batchfit = wx.NewId()
	182	batch_help = "Combined Batch"
	183	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
	184	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
	185	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
	186	self.batch_menu.Enable(False)
	187
	188	self.menu1.AppendSeparator()
	189	self.id_bumps_options = wx.NewId()
	190	bopts_help = "Fitting options"
	191	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
	192	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
	193	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
	194	self.bumps_options_menu.Enable(True)
	195
[73cbeec]	196	self.id_gpu_options_panel = wx.NewId()
	197	self.menu1.Append(self.id_gpu_options_panel, "OpenCL Options", "Choose OpenCL driver or turn it off")
	198	wx.EVT_MENU(owner, self.id_gpu_options_panel, self.on_gpu_options)
	199
[f76bf17]	200	self.id_result_panel = wx.NewId()
	201	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
[9776c82]	202	wx.EVT_MENU(owner, self.id_result_panel, self.on_fit_results)
[f76bf17]	203	self.menu1.AppendSeparator()
	204
	205	self.id_reset_flag = wx.NewId()
	206	resetf_help = "BatchFit: If checked, the initial param values will be "
	207	resetf_help += "propagated from the previous results. "
	208	resetf_help += "Otherwise, the same initial param values will be used "
	209	resetf_help += "for all fittings."
	210	self.menu1.AppendCheckItem(self.id_reset_flag,
	211	"Chain Fitting [BatchFit Only]",
	212	resetf_help)
	213	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
	214	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
	215	chain_menu.Check(not self.batch_reset_flag)
	216	chain_menu.Enable(self.batch_on)
	217
	218	self.menu1.AppendSeparator()
	219	self.edit_model_menu = wx.Menu()
	220	# Find and put files name in menu
	221	try:
	222	self.set_edit_menu(owner=owner)
	223	except:
	224	raise
	225
	226	self.id_edit = wx.NewId()
[ec72ceb]	227	self.menu1.AppendMenu(self.id_edit, "Plugin Model Operations",
[e92a352]	228	self.edit_model_menu)
[f76bf17]	229	#create menubar items
	230	return [(self.menu1, self.sub_menu)]
	231
	232	def edit_custom_model(self, event):
	233	"""
	234	Get the python editor panel
	235	"""
[f21d496]	236	event_id = event.GetId()
	237	label = self.edit_menu.GetLabel(event_id)
[d85c194]	238	from sas.sasgui.perspectives.calculator.pyconsole import PyConsole
[f76bf17]	239	filename = os.path.join(models.find_plugins_dir(), label)
	240	frame = PyConsole(parent=self.parent, manager=self,
	241	panel=self.fit_panel,
[ec72ceb]	242	title='Advanced Plugin Model Editor',
[f76bf17]	243	filename=filename)
	244	self.put_icon(frame)
	245	frame.Show(True)
	246
	247	def delete_custom_model(self, event):
	248	"""
	249	Delete custom model file
	250	"""
[f21d496]	251	event_id = event.GetId()
	252	label = self.delete_menu.GetLabel(event_id)
[f76bf17]	253	toks = os.path.splitext(label)
	254	path = os.path.join(models.find_plugins_dir(), toks[0])
	255	try:
	256	for ext in ['.py', '.pyc']:
	257	p_path = path + ext
	258	os.remove(p_path)
	259	self.update_custom_combo()
	260	if os.path.isfile(p_path):
[e92a352]	261	msg = "Sorry! unable to delete the default "
	262	msg += "plugin model... \n"
[f76bf17]	263	msg += "Please manually remove the files (.py, .pyc) "
	264	msg += "in the 'plugin_models' folder \n"
	265	msg += "inside of the SasView application, "
	266	msg += "and try it again."
	267	wx.MessageBox(msg, 'Info')
[934ce649]	268	#evt = StatusEvent(status=msg, type='stop', info='warning')
	269	#wx.PostEvent(self.parent, evt)
[f76bf17]	270	else:
[f21d496]	271	self.delete_menu.Delete(event_id)
[f76bf17]	272	for item in self.edit_menu.GetMenuItems():
	273	if item.GetLabel() == label:
	274	self.edit_menu.DeleteItem(item)
[e92a352]	275	msg = "The plugin model, %s, has been deleted." % label
[934ce649]	276	evt = StatusEvent(status=msg, type='stop', info='info')
	277	wx.PostEvent(self.parent, evt)
[f76bf17]	278	break
[7673ecd]	279	except Exception:
	280	import traceback; traceback.print_exc()
[f76bf17]	281	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
	282	wx.MessageBox(msg, 'Error')
	283
	284	def make_sum_model(self, event):
	285	"""
	286	Edit summodel template and make one
	287	"""
[f21d496]	288	event_id = event.GetId()
[f76bf17]	289	model_manager = models.ModelManager()
	290	model_list = model_manager.get_model_name_list()
	291	plug_dir = models.find_plugins_dir()
[6f16e25]	292	textdial = TextDialog(None, self, wx.ID_ANY, 'Easy Sum/Multi(p1, p2) Editor',
[f76bf17]	293	model_list, plug_dir)
	294	self.put_icon(textdial)
	295	textdial.ShowModal()
	296	textdial.Destroy()
	297
	298	def make_new_model(self, event):
	299	"""
	300	Make new model
	301	"""
	302	if self.new_model_frame != None:
	303	self.new_model_frame.Show(False)
	304	self.new_model_frame.Show(True)
	305	else:
[f21d496]	306	event_id = event.GetId()
[f76bf17]	307	dir_path = models.find_plugins_dir()
[ec72ceb]	308	title = "New Plugin Model Function"
[f76bf17]	309	self.new_model_frame = EditorWindow(parent=self, base=self,
	310	path=dir_path, title=title)
	311	self.put_icon(self.new_model_frame)
	312	self.new_model_frame.Show(True)
	313
[105ef92]	314	def load_plugin_models(self, event):
	315	"""
	316	Update of models in plugin_models folder
	317	"""
	318	event_id = event.GetId()
[c807957]	319	self.update_custom_combo()
[105ef92]	320
[f76bf17]	321	def update_custom_combo(self):
	322	"""
	323	Update custom model list in the fitpage combo box
	324	"""
[ec72ceb]	325	custom_model = 'Plugin Models'
[f76bf17]	326	try:
	327	# Update edit menus
	328	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
	329	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
	330	temp = self.fit_panel.reset_pmodel_list()
	331	if temp:
[e92a352]	332	# Set the new plugin model list for all fit pages
[f76bf17]	333	for uid, page in self.fit_panel.opened_pages.iteritems():
	334	if hasattr(page, "formfactorbox"):
	335	page.model_list_box = temp
	336	current_val = page.formfactorbox.GetLabel()
	337	#if page.plugin_rbutton.GetValue():
	338	mod_cat = page.categorybox.GetStringSelection()
	339	if mod_cat == custom_model:
	340	#pos = page.formfactorbox.GetSelection()
	341	page._show_combox_helper()
	342	new_val = page.formfactorbox.GetLabel()
	343	if current_val != new_val and new_val != '':
	344	page.formfactorbox.SetLabel(new_val)
	345	else:
	346	page.formfactorbox.SetLabel(current_val)
	347	except:
[c807957]	348	logging.error("update_custom_combo: %s", sys.exc_value)
[f76bf17]	349
	350	def set_edit_menu(self, owner):
	351	"""
	352	Set list of the edit model menu labels
	353	"""
[f21d496]	354	wx_id = wx.NewId()
[f76bf17]	355	#new_model_menu = wx.Menu()
[ec72ceb]	356	self.edit_model_menu.Append(wx_id, 'New Plugin Model',
[f76bf17]	357	'Add a new model function')
[f21d496]	358	wx.EVT_MENU(owner, wx_id, self.make_new_model)
[105ef92]	359
[f21d496]	360	wx_id = wx.NewId()
	361	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
[f76bf17]	362	'Sum of two model functions')
[f21d496]	363	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
[105ef92]	364
[f76bf17]	365	e_id = wx.NewId()
	366	self.edit_menu = wx.Menu()
	367	self.edit_model_menu.AppendMenu(e_id,
[ec72ceb]	368	'Advanced Plugin Editor', self.edit_menu)
[f76bf17]	369	self.set_edit_menu_helper(owner, self.edit_custom_model)
	370
	371	d_id = wx.NewId()
	372	self.delete_menu = wx.Menu()
	373	self.edit_model_menu.AppendMenu(d_id,
[ec72ceb]	374	'Delete Plugin Models', self.delete_menu)
[f76bf17]	375	self.set_edit_menu_helper(owner, self.delete_custom_model)
	376
[105ef92]	377	wx_id = wx.NewId()
[ec72ceb]	378	self.edit_model_menu.Append(wx_id, 'Load Plugin Models',
[105ef92]	379	'(Re)Load all models present in user plugin_models folder')
	380	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
[bc7b5da2]	381
[f76bf17]	382	def set_edit_menu_helper(self, owner=None, menu=None):
	383	"""
	384	help for setting list of the edit model menu labels
	385	"""
	386	if menu == None:
	387	menu = self.edit_custom_model
	388	list_fnames = os.listdir(models.find_plugins_dir())
	389	list_fnames.sort()
	390	for f_item in list_fnames:
	391	name = os.path.basename(f_item)
	392	toks = os.path.splitext(name)
	393	if toks[-1] == '.py' and not toks[0] == '__init__':
	394	if menu == self.edit_custom_model:
	395	if toks[0] == 'easy_sum_of_p1_p2':
	396	continue
	397	submenu = self.edit_menu
	398	else:
	399	submenu = self.delete_menu
	400	has_file = False
	401	for item in submenu.GetMenuItems():
	402	if name == submenu.GetLabel(item.GetId()):
	403	has_file = True
	404	if not has_file:
[f21d496]	405	wx_id = wx.NewId()
	406	submenu.Append(wx_id, name)
	407	wx.EVT_MENU(owner, wx_id, menu)
[f76bf17]	408	has_file = False
	409
	410	def put_icon(self, frame):
	411	"""
	412	Put icon in the frame title bar
	413	"""
	414	if hasattr(frame, "IsIconized"):
	415	if not frame.IsIconized():
	416	try:
	417	icon = self.parent.GetIcon()
	418	frame.SetIcon(icon)
	419	except:
	420	pass
	421
	422	def on_add_sim_page(self, event):
	423	"""
	424	Create a page to access simultaneous fit option
	425	"""
[f21d496]	426	event_id = event.GetId()
[f76bf17]	427	caption = "Const & Simul Fit"
	428	page = self.sim_page
[f21d496]	429	if event_id == self.id_batchfit:
[f76bf17]	430	caption = "Combined Batch"
	431	page = self.batch_page
	432
	433	def set_focus_page(page):
	434	page.Show(True)
	435	page.Refresh()
	436	page.SetFocus()
	437	#self.parent._mgr.Update()
	438	msg = "%s already opened\n" % str(page.window_caption)
	439	wx.PostEvent(self.parent, StatusEvent(status=msg))
	440
	441	if page != None:
	442	return set_focus_page(page)
	443	if caption == "Const & Simul Fit":
	444	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	445	else:
	446	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
	447
	448	def get_context_menu(self, plotpanel=None):
	449	"""
	450	Get the context menu items available for P(r).them allow fitting option
	451	for Data2D and Data1D only.
	452
	453	:param graph: the Graph object to which we attach the context menu
	454
	455	:return: a list of menu items with call-back function
	456
	457	:note: if Data1D was generated from Theory1D
	458	the fitting option is not allowed
	459
	460	"""
	461	self.plot_panel = plotpanel
	462	graph = plotpanel.graph
	463	fit_option = "Select data for fitting"
	464	fit_hint = "Dialog with fitting parameters "
	465
	466	if graph.selected_plottable not in plotpanel.plots:
	467	return []
	468	item = plotpanel.plots[graph.selected_plottable]
	469	if item.__class__.__name__ is "Data2D":
	470	if hasattr(item, "is_data"):
	471	if item.is_data:
	472	return [[fit_option, fit_hint, self._onSelect]]
	473	else:
	474	return []
	475	return [[fit_option, fit_hint, self._onSelect]]
	476	else:
	477
	478	# if is_data is true , this in an actual data loaded
	479	#else it is a data created from a theory model
	480	if hasattr(item, "is_data"):
	481	if item.is_data:
	482	return [[fit_option, fit_hint, self._onSelect]]
	483	else:
	484	return []
	485	return [[fit_option, fit_hint, self._onSelect]]
	486	return []
	487
	488	def get_panels(self, parent):
	489	"""
	490	Create and return a list of panel objects
	491	"""
	492	self.parent = parent
	493	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
	494	# Creation of the fit panel
	495	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
	496	self.fit_panel = FitPanel(parent=self.frame, manager=self)
	497	self.frame.set_panel(self.fit_panel)
	498	self._frame_set_helper()
	499	self.on_add_new_page(event=None)
	500	#Set the manager for the main panel
	501	self.fit_panel.set_manager(self)
	502	# List of windows used for the perspective
	503	self.perspective = []
	504	self.perspective.append(self.fit_panel.window_name)
	505
	506	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
	507	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
	508	self.perspective.append(self.result_panel.window_name)
	509
	510	#index number to create random model name
	511	self.index_model = 0
	512	self.index_theory = 0
	513	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
	514	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[05228b0]	515
[243fbc0]	516	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
[05228b0]	517	if EVT_FITTER_CHANGED is not None:
	518	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
	519	self._set_fitter_label(bumps.options.FIT_CONFIG)
	520
[f76bf17]	521	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
	522	#Create reader when fitting panel are created
	523	self.state_reader = Reader(self.set_state)
	524	#append that reader to list of available reader
	525	loader = Loader()
	526	loader.associate_file_reader(".fitv", self.state_reader)
	527	#Send the fitting panel to guiframe
	528	self.mypanels.append(self.fit_panel)
	529	self.mypanels.append(self.result_panel)
	530	return self.mypanels
	531
	532	def clear_panel(self):
	533	"""
	534	"""
	535	self.fit_panel.clear_panel()
	536
	537	def delete_data(self, data):
	538	"""
	539	delete the given data from panel
	540	"""
	541	self.fit_panel.delete_data(data)
	542
	543	def set_data(self, data_list=None):
	544	"""
	545	receive a list of data to fit
	546	"""
	547	if data_list is None:
	548	data_list = []
	549	selected_data_list = []
	550	if self.batch_on:
[098f3d2]	551	self.add_fit_page(data=data_list)
[f76bf17]	552	else:
	553	if len(data_list) > MAX_NBR_DATA:
	554	from fitting_widgets import DataDialog
	555	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	556	if dlg.ShowModal() == wx.ID_OK:
	557	selected_data_list = dlg.get_data()
	558	dlg.Destroy()
	559
	560	else:
	561	selected_data_list = data_list
	562	try:
	563	group_id = wx.NewId()
	564	for data in selected_data_list:
	565	if data is not None:
	566	# 2D has no same group_id
	567	if data.__class__.__name__ == 'Data2D':
	568	group_id = wx.NewId()
	569	data.group_id = group_id
	570	if group_id not in data.list_group_id:
	571	data.list_group_id.append(group_id)
[098f3d2]	572	self.add_fit_page(data=[data])
[f76bf17]	573	except:
[098f3d2]	574	msg = "Fitting set_data: " + str(sys.exc_value)
[f76bf17]	575	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	576
	577	def set_theory(self, theory_list=None):
	578	"""
	579	"""
	580	#set the model state for a given theory_state:
	581	for item in theory_list:
	582	try:
	583	_, theory_state = item
	584	self.fit_panel.set_model_state(theory_state)
[7673ecd]	585	except Exception:
[f76bf17]	586	msg = "Fitting: cannot deal with the theory received"
[934ce649]	587	evt = StatusEvent(status=msg, info="error")
[f76bf17]	588	logging.error("set_theory " + msg + "\n" + str(sys.exc_value))
[934ce649]	589	wx.PostEvent(self.parent, evt)
[f76bf17]	590
	591	def set_state(self, state=None, datainfo=None, format=None):
	592	"""
	593	Call-back method for the fit page state reader.
	594	This method is called when a .fitv/.svs file is loaded.
	595
	596	: param state: PageState object
	597	: param datainfo: data
	598	"""
[e89aed5]	599	from pagestate import PageState
	600	from simfitpage import SimFitPageState
	601	if isinstance(state, PageState):
[f76bf17]	602	state = state.clone()
	603	self.temp_state.append(state)
[e89aed5]	604	elif isinstance(state, SimFitPageState):
	605	state.load_from_save_state(self)
[f76bf17]	606	else:
	607	self.temp_state = []
	608	# index to start with for a new set_state
	609	self.state_index = 0
	610	# state file format
	611	self.sfile_ext = format
	612
	613	self.on_set_state_helper(event=None)
	614
	615	def on_set_state_helper(self, event=None):
	616	"""
	617	Set_state_helper. This actually sets state
	618	after plotting data from state file.
	619
	620	: event: FitStateUpdateEvent called
	621	by dataloader.plot_data from guiframe
	622	"""
	623	if len(self.temp_state) == 0:
	624	if self.state_index == 0 and len(self.mypanels) <= 0 \
	625	and self.sfile_ext == '.svs':
	626	self.temp_state = []
	627	self.state_index = 0
	628	return
	629
	630	try:
	631	# Load fitting state
	632	state = self.temp_state[self.state_index]
	633	#panel state should have model selection to set_state
	634	if state.formfactorcombobox != None:
	635	#set state
	636	data = self.parent.create_gui_data(state.data)
	637	data.group_id = state.data.group_id
	638	self.parent.add_data(data_list={data.id: data})
	639	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	640	title=data.title))
	641	#need to be fix later make sure we are sendind guiframe.data
	642	#to panel
	643	state.data = data
	644	page = self.fit_panel.set_state(state)
	645	else:
	646	#just set data because set_state won't work
	647	data = self.parent.create_gui_data(state.data)
	648	data.group_id = state.data.group_id
	649	self.parent.add_data(data_list={data.id: data})
	650	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	651	title=data.title))
	652	page = self.add_fit_page([data])
	653	caption = page.window_caption
	654	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	655	caption=caption)
	656	self.mypanels.append(page)
	657
	658	# get ready for the next set_state
	659	self.state_index += 1
	660
	661	#reset state variables to default when all set_state is finished.
	662	if len(self.temp_state) == self.state_index:
	663
	664	self.temp_state = []
	665	#self.state_index = 0
	666	# Make sure the user sees the fitting panel after loading
	667	#self.parent.set_perspective(self.perspective)
	668	self.on_perspective(event=None)
	669	except:
	670	self.state_index = 0
	671	self.temp_state = []
	672	raise
	673
	674	def set_param2fit(self, uid, param2fit):
	675	"""
	676	Set the list of param names to fit for fitprobelm
	677	"""
	678	self.page_finder[uid].set_param2fit(param2fit)
	679
	680	def set_graph_id(self, uid, graph_id):
	681	"""
	682	Set graph_id for fitprobelm
	683	"""
	684	self.page_finder[uid].set_graph_id(graph_id)
	685
	686	def get_graph_id(self, uid):
	687	"""
	688	Set graph_id for fitprobelm
	689	"""
	690	return self.page_finder[uid].get_graph_id()
	691
	692	def save_fit_state(self, filepath, fitstate):
	693	"""
	694	save fit page state into file
	695	"""
	696	self.state_reader.write(filename=filepath, fitstate=fitstate)
	697
	698	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
	699	"""
	700	Set the fit weights of a given page for all
	701	its data by default. If fid is provide then set the range
	702	only for the data with fid as id
	703	:param uid: id corresponding to a fit page
	704	:param fid: id corresponding to a fit problem (data, model)
	705	:param weight: current dy data
	706	"""
[098f3d2]	707	# If we are not dealing with a specific fit problem, then
	708	# there is no point setting the weights.
	709	if fid is None:
	710	return
[f76bf17]	711	if uid in self.page_finder.keys():
	712	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
	713
	714	def set_fit_range(self, uid, qmin, qmax, fid=None):
	715	"""
	716	Set the fitting range of a given page for all
	717	its data by default. If fid is provide then set the range
	718	only for the data with fid as id
	719	:param uid: id corresponding to a fit page
	720	:param fid: id corresponding to a fit problem (data, model)
	721	:param qmin: minimum value of the fit range
	722	:param qmax: maximum value of the fit range
	723	"""
	724	if uid in self.page_finder.keys():
	725	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	726
	727	def schedule_for_fit(self, value=0, uid=None):
	728	"""
	729	Set the fit problem field to 0 or 1 to schedule that problem to fit.
	730	Schedule the specified fitproblem or get the fit problem related to
	731	the current page and set value.
	732	:param value: integer 0 or 1
	733	:param uid: the id related to a page contaning fitting information
	734	"""
	735	if uid in self.page_finder.keys():
	736	self.page_finder[uid].schedule_tofit(value)
	737
	738	def get_page_finder(self):
	739	"""
	740	return self.page_finder used also by simfitpage.py
	741	"""
	742	return self.page_finder
	743
	744	def set_page_finder(self, modelname, names, values):
	745	"""
	746	Used by simfitpage.py to reset a parameter given the string constrainst.
	747
	748	:param modelname: the name ot the model for with the parameter
	749	has to reset
	750	:param value: can be a string in this case.
	751	:param names: the paramter name
	752	"""
	753	sim_page_id = self.sim_page.uid
	754	for uid, value in self.page_finder.iteritems():
	755	if uid != sim_page_id and uid != self.batch_page.uid:
[f21d496]	756	model_list = value.get_model()
	757	model = model_list[0]
[f76bf17]	758	if model.name == modelname:
	759	value.set_model_param(names, values)
	760	break
	761
	762	def split_string(self, item):
	763	"""
	764	receive a word containing dot and split it. used to split parameterset
	765	name into model name and parameter name example: ::
	766
	767	paramaterset (item) = M1.A
	768	Will return model_name = M1 , parameter name = A
	769
	770	"""
	771	if item.find(".") >= 0:
	772	param_names = re.split("\.", item)
	773	model_name = param_names[0]
	774	##Assume max len is 3; eg., M0.radius.width
	775	if len(param_names) == 3:
	776	param_name = param_names[1] + "." + param_names[2]
	777	else:
	778	param_name = param_names[1]
	779	return model_name, param_name
	780
	781	def on_bumps_options(self, event=None):
[9776c82]	782	"""
	783	Open the bumps options panel.
	784	"""
[05228b0]	785	show_fit_config(self.parent, help=self.on_help)
	786
	787	def on_fitter_changed(self, event):
	788	self._set_fitter_label(event.config)
	789
	790	def _set_fitter_label(self, config):
	791	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
	792	+ " - Active Fitting Optimizer: "
	793	+ config.selected_name)
[7945367]	794
	795	def on_help(self, algorithm_id):
[86b049b]	796	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
[7945367]	797	_anchor = "#fit-"+algorithm_id
[6f16e25]	798	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
[7945367]	799
[f76bf17]	800
[9776c82]	801	def on_fit_results(self, event=None):
	802	"""
	803	Make the Fit Results panel visible.
	804	"""
	805	self.result_frame.Show()
	806	self.result_frame.Raise()
	807
[73cbeec]	808	def on_gpu_options(self, event=None):
	809	"""
	810	Make the Fit Results panel visible.
	811	"""
	812	dialog = GpuOptions(None, wx.ID_ANY, "")
	813	dialog.Show()
	814
[f76bf17]	815	def stop_fit(self, uid):
	816	"""
[acf8e4a5]	817	Stop the fit
[f76bf17]	818	"""
	819	if uid in self.fit_thread_list.keys():
	820	calc_fit = self.fit_thread_list[uid]
	821	if calc_fit is not None and calc_fit.isrunning():
	822	calc_fit.stop()
	823	msg = "Fit stop!"
	824	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	825	del self.fit_thread_list[uid]
	826	#set the fit button label of page when fit stop is trigger from
	827	#simultaneous fit pane
	828	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	829	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	830	if sim_flag or batch_flag:
	831	for uid, value in self.page_finder.iteritems():
	832	if value.get_scheduled() == 1:
	833	if uid in self.fit_panel.opened_pages.keys():
	834	panel = self.fit_panel.opened_pages[uid]
	835	panel._on_fit_complete()
	836
	837	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	838	enable_smearer=False):
	839	"""
	840	Get a smear object and store it to a fit problem of fid as id. If proper
	841	flag is enable , will plot the theory with smearing information.
	842
	843	:param smearer: smear object to allow smearing data of id fid
	844	:param enable_smearer: Define whether or not all (data, model) contained
	845	in the structure of id uid will be smeared before fitting.
	846	:param qmin: the maximum value of the theory plotting range
	847	:param qmax: the maximum value of the theory plotting range
	848	:param draw: Determine if the theory needs to be plot
	849	"""
	850	if uid not in self.page_finder.keys():
	851	return
	852	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	853	self.page_finder[uid].set_smearer(smearer, fid=fid)
	854	if draw:
	855	## draw model 1D with smeared data
	856	data = self.page_finder[uid].get_fit_data(fid=fid)
	857	if data is None:
	858	msg = "set_mearer requires at least data.\n"
	859	msg += "Got data = %s .\n" % str(data)
	860	return
	861	#raise ValueError, msg
	862	model = self.page_finder[uid].get_model(fid=fid)
	863	if model is None:
	864	return
	865	enable1D = issubclass(data.__class__, Data1D)
	866	enable2D = issubclass(data.__class__, Data2D)
	867	## if user has already selected a model to plot
	868	## redraw the model with data smeared
	869	smear = self.page_finder[uid].get_smearer(fid=fid)
	870
	871	# compute weight for the current data
	872	weight = self.page_finder[uid].get_weight(fid=fid)
	873
	874	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
	875	enable1D=enable1D, enable2D=enable2D,
	876	qmin=qmin, qmax=qmax, weight=weight)
	877
	878	def _mac_sleep(self, sec=0.2):
	879	"""
	880	Give sleep to MAC
	881	"""
	882	if ON_MAC:
	883	time.sleep(sec)
	884
	885	def draw_model(self, model, page_id, data=None, smearer=None,
	886	enable1D=True, enable2D=False,
	887	state=None,
	888	fid=None,
	889	toggle_mode_on=False,
	890	qmin=None, qmax=None,
	891	update_chisqr=True, weight=None, source='model'):
	892	"""
	893	Draw model.
	894
	895	:param model: the model to draw
	896	:param name: the name of the model to draw
	897	:param data: the data on which the model is based to be drawn
	898	:param description: model's description
	899	:param enable1D: if true enable drawing model 1D
	900	:param enable2D: if true enable drawing model 2D
	901	:param qmin: Range's minimum value to draw model
	902	:param qmax: Range's maximum value to draw model
	903	:param qstep: number of step to divide the x and y-axis
	904	:param update_chisqr: update chisqr [bool]
	905
	906	"""
	907	#self.weight = weight
	908	if issubclass(data.__class__, Data1D) or not enable2D:
	909	## draw model 1D with no loaded data
	910	self._draw_model1D(model=model,
	911	data=data,
	912	page_id=page_id,
	913	enable1D=enable1D,
	914	smearer=smearer,
	915	qmin=qmin,
	916	qmax=qmax,
	917	fid=fid,
	918	weight=weight,
	919	toggle_mode_on=toggle_mode_on,
	920	state=state,
	921	update_chisqr=update_chisqr,
	922	source=source)
	923	else:
	924	## draw model 2D with no initial data
	925	self._draw_model2D(model=model,
	926	page_id=page_id,
	927	data=data,
	928	enable2D=enable2D,
	929	smearer=smearer,
	930	qmin=qmin,
	931	qmax=qmax,
	932	fid=fid,
	933	weight=weight,
	934	state=state,
	935	toggle_mode_on=toggle_mode_on,
	936	update_chisqr=update_chisqr,
	937	source=source)
	938
	939	def onFit(self, uid):
	940	"""
	941	Get series of data, model, associates parameters and range and send then
[acf8e4a5]	942	to series of fitters. Fit data and model, display result to
[f76bf17]	943	corresponding panels.
	944	:param uid: id related to the panel currently calling this fit function.
	945	"""
	946	if uid is None: raise RuntimeError("no page to fit") # Should never happen
	947
	948	sim_page_uid = getattr(self.sim_page, 'uid', None)
	949	batch_page_uid = getattr(self.batch_page, 'uid', None)
	950
	951	if uid == sim_page_uid:
	952	fit_type = 'simultaneous'
	953	elif uid == batch_page_uid:
	954	fit_type = 'combined_batch'
	955	else:
	956	fit_type = 'single'
	957
	958	fitter_list = []
	959	sim_fitter = None
	960	if fit_type == 'simultaneous':
[acf8e4a5]	961	# for simultaneous fitting only one fitter is needed
	962	sim_fitter = Fit()
[f76bf17]	963	sim_fitter.fitter_id = self.sim_page.uid
	964	fitter_list.append(sim_fitter)
	965
	966	self.current_pg = None
	967	list_page_id = []
	968	fit_id = 0
	969	for page_id, page_info in self.page_finder.iteritems():
	970	# For simulfit (uid give with None), do for-loop
	971	# if uid is specified (singlefit), do it only on the page.
	972	if page_id in (sim_page_uid, batch_page_uid): continue
	973	if fit_type == "single" and page_id != uid: continue
	974
	975	try:
	976	if page_info.get_scheduled() == 1:
	977	page_info.nbr_residuals_computed = 0
	978	page = self.fit_panel.get_page_by_id(page_id)
	979	self.set_fit_weight(uid=page.uid,
	980	flag=page.get_weight_flag(),
	981	is2d=page._is_2D())
	982	if not page.param_toFit:
	983	msg = "No fitting parameters for %s" % page.window_caption
[934ce649]	984	evt = StatusEvent(status=msg, info="error", type="stop")
	985	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	986	return False
	987	if not page._update_paramv_on_fit():
	988	msg = "Fitting range or parameter values are"
	989	msg += " invalid in %s" % \
	990	page.window_caption
[934ce649]	991	evt = StatusEvent(status=msg, info="error", type="stop")
	992	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	993	return False
	994
	995	pars = [str(element[1]) for element in page.param_toFit]
	996	fitproblem_list = page_info.values()
	997	for fitproblem in fitproblem_list:
	998	if sim_fitter is None:
[acf8e4a5]	999	fitter = Fit()
[f76bf17]	1000	fitter.fitter_id = page_id
	1001	fitter_list.append(fitter)
	1002	else:
	1003	fitter = sim_fitter
	1004	self._add_problem_to_fit(fitproblem=fitproblem,
	1005	pars=pars,
	1006	fitter=fitter,
	1007	fit_id=fit_id)
	1008	fit_id += 1
	1009	list_page_id.append(page_id)
	1010	page_info.clear_model_param()
	1011	except KeyboardInterrupt:
	1012	msg = "Fitting terminated"
[934ce649]	1013	evt = StatusEvent(status=msg, info="info", type="stop")
	1014	wx.PostEvent(self.parent, evt)
[f76bf17]	1015	return True
	1016	except:
[a3f125f0]	1017	raise
[f76bf17]	1018	msg = "Fitting error: %s" % str(sys.exc_value)
[934ce649]	1019	evt = StatusEvent(status=msg, info="error", type="stop")
	1020	wx.PostEvent(self.parent, evt)
[f76bf17]	1021	return False
	1022	## If a thread is already started, stop it
	1023	#if self.calc_fit!= None and self.calc_fit.isrunning():
	1024	# self.calc_fit.stop()
	1025	msg = "Fitting is in progress..."
	1026	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1027
[acf8e4a5]	1028	#Handler used to display fit message
[f76bf17]	1029	handler = ConsoleUpdate(parent=self.parent,
	1030	manager=self,
	1031	improvement_delta=0.1)
	1032	self._mac_sleep(0.2)
	1033
	1034	# batch fit
	1035	batch_inputs = {}
	1036	batch_outputs = {}
	1037	if fit_type == "simultaneous":
	1038	page = self.sim_page
	1039	elif fit_type == "combined_batch":
	1040	page = self.batch_page
	1041	else:
	1042	page = self.fit_panel.get_page_by_id(uid)
	1043	if page.batch_on:
	1044	calc_fit = FitThread(handler=handler,
	1045	fn=fitter_list,
	1046	pars=pars,
	1047	batch_inputs=batch_inputs,
	1048	batch_outputs=batch_outputs,
	1049	page_id=list_page_id,
	1050	completefn=self._batch_fit_complete,
	1051	reset_flag=self.batch_reset_flag)
	1052	else:
	1053	## Perform more than 1 fit at the time
	1054	calc_fit = FitThread(handler=handler,
	1055	fn=fitter_list,
	1056	batch_inputs=batch_inputs,
	1057	batch_outputs=batch_outputs,
	1058	page_id=list_page_id,
	1059	updatefn=handler.update_fit,
	1060	completefn=self._fit_completed)
	1061	#self.fit_thread_list[current_page_id] = calc_fit
	1062	self.fit_thread_list[uid] = calc_fit
	1063	calc_fit.queue()
	1064	calc_fit.ready(2.5)
	1065	msg = "Fitting is in progress..."
	1066	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1067
	1068	return True
	1069
	1070	def remove_plot(self, uid, fid=None, theory=False):
	1071	"""
	1072	remove model plot when a fit page is closed
	1073	:param uid: the id related to the fitpage to close
	1074	:param fid: the id of the fitproblem(data, model, range,etc)
	1075	"""
	1076	if uid not in self.page_finder.keys():
	1077	return
	1078	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1079	for fitproblem in fitproblemList:
	1080	data = fitproblem.get_fit_data()
	1081	model = fitproblem.get_model()
	1082	plot_id = None
	1083	if model is not None:
	1084	plot_id = data.id + model.name
	1085	if theory:
	1086	plot_id = data.id + model.name
	1087	group_id = data.group_id
	1088	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
	1089	group_id=group_id,
	1090	action='remove'))
	1091
	1092	def store_data(self, uid, data_list=None, caption=None):
	1093	"""
	1094	Recieve a list of data and store them ans well as a caption of
	1095	the fit page where they come from.
	1096	:param uid: if related to a fit page
	1097	:param data_list: list of data to fit
	1098	:param caption: caption of the window related to these data
	1099	"""
	1100	if data_list is None:
	1101	data_list = []
	1102
	1103	self.page_finder[uid].set_fit_data(data=data_list)
	1104	if caption is not None:
	1105	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1106
	1107	def on_add_new_page(self, event=None):
	1108	"""
	1109	ask fit panel to create a new empty page
	1110	"""
	1111	try:
	1112	page = self.fit_panel.add_empty_page()
	1113	# add data associated to the page created
	1114	if page != None:
[934ce649]	1115	evt = StatusEvent(status="Page Created", info="info")
	1116	wx.PostEvent(self.parent, evt)
[f76bf17]	1117	else:
	1118	msg = "Page was already Created"
[934ce649]	1119	evt = StatusEvent(status=msg, info="warning")
	1120	wx.PostEvent(self.parent, evt)
[f76bf17]	1121	except:
	1122	msg = "Creating Fit page: %s" % sys.exc_value
	1123	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	1124
	1125	def add_fit_page(self, data):
	1126	"""
	1127	given a data, ask to the fitting panel to create a new fitting page,
	1128	get this page and store it into the page_finder of this plug-in
	1129	:param data: is a list of data
	1130	"""
	1131	page = self.fit_panel.set_data(data)
	1132	# page could be None when loading state files
	1133	if page == None:
	1134	return page
	1135	#append Data1D to the panel containing its theory
	1136	#if theory already plotted
	1137	if page.uid in self.page_finder:
	1138	data = page.get_data()
	1139	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
	1140	if issubclass(data.__class__, Data2D):
	1141	data.group_id = wx.NewId()
	1142	if theory_data is not None:
	1143	group_id = str(page.uid) + " Model1D"
	1144	wx.PostEvent(self.parent,
	1145	NewPlotEvent(group_id=group_id,
	1146	action="delete"))
	1147	self.parent.update_data(prev_data=theory_data,
	1148	new_data=data)
	1149	else:
	1150	if theory_data is not None:
	1151	group_id = str(page.uid) + " Model2D"
	1152	data.group_id = theory_data.group_id
	1153	wx.PostEvent(self.parent,
	1154	NewPlotEvent(group_id=group_id,
	1155	action="delete"))
	1156	self.parent.update_data(prev_data=theory_data,
	1157	new_data=data)
	1158	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	1159	caption=page.window_caption)
	1160	if self.sim_page is not None and not self.batch_on:
	1161	self.sim_page.draw_page()
	1162	if self.batch_page is not None and self.batch_on:
	1163	self.batch_page.draw_page()
	1164
	1165	return page
	1166
	1167	def _onEVT_SLICER_PANEL(self, event):
	1168	"""
	1169	receive and event telling to update a panel with a name starting with
	1170	event.panel_name. this method update slicer panel
	1171	for a given interactor.
	1172
	1173	:param event: contains type of slicer , paramaters for updating
	1174	the panel and panel_name to find the slicer 's panel concerned.
	1175	"""
	1176	event.panel_name
	1177	for item in self.parent.panels:
	1178	name = event.panel_name
	1179	if self.parent.panels[item].window_caption.startswith(name):
	1180	self.parent.panels[item].set_slicer(event.type, event.params)
	1181
	1182	#self.parent._mgr.Update()
	1183
	1184	def _closed_fitpage(self, event):
	1185	"""
	1186	request fitpanel to close a given page when its unique data is removed
	1187	from the plot. close fitpage only when the a loaded data is removed
	1188	"""
	1189	if event is None or event.data is None:
	1190	return
	1191	if hasattr(event.data, "is_data"):
	1192	if not event.data.is_data or \
	1193	event.data.__class__.__name__ == "Data1D":
	1194	self.fit_panel.close_page_with_data(event.data)
	1195
	1196	def _reset_schedule_problem(self, value=0, uid=None):
	1197	"""
	1198	unschedule or schedule all fitproblem to be fit
	1199	"""
	1200	# case that uid is not specified
	1201	if uid == None:
	1202	for page_id in self.page_finder.keys():
	1203	self.page_finder[page_id].schedule_tofit(value)
	1204	# when uid is given
	1205	else:
	1206	if uid in self.page_finder.keys():
	1207	self.page_finder[uid].schedule_tofit(value)
	1208
	1209	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
	1210	"""
[acf8e4a5]	1211	Create and set fitter with series of data and model
[f76bf17]	1212	"""
	1213	data = fitproblem.get_fit_data()
	1214	model = fitproblem.get_model()
	1215	smearer = fitproblem.get_smearer()
	1216	qmin, qmax = fitproblem.get_range()
	1217
	1218	#Extra list of parameters and their constraints
	1219	listOfConstraint = []
	1220	param = fitproblem.get_model_param()
	1221	if len(param) > 0:
	1222	for item in param:
	1223	## check if constraint
	1224	if item[0] != None and item[1] != None:
	1225	listOfConstraint.append((item[0], item[1]))
	1226	new_model = model
	1227	fitter.set_model(new_model, fit_id, pars, data=data,
	1228	constraints=listOfConstraint)
	1229	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
	1230	qmax=qmax)
	1231	fitter.select_problem_for_fit(id=fit_id, value=1)
	1232
	1233	def _onSelect(self, event):
	1234	"""
	1235	when Select data to fit a new page is created .Its reference is
	1236	added to self.page_finder
	1237	"""
	1238	panel = self.plot_panel
	1239	if panel == None:
	1240	raise ValueError, "Fitting:_onSelect: NonType panel"
	1241	Plugin.on_perspective(self, event=event)
	1242	self.select_data(panel)
	1243
	1244	def select_data(self, panel):
	1245	"""
	1246	"""
	1247	for plottable in panel.graph.plottables:
	1248	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
	1249	data_id = panel.graph.selected_plottable
	1250	if plottable == panel.plots[data_id]:
	1251	data = plottable
	1252	self.add_fit_page(data=[data])
	1253	return
	1254	else:
	1255	data = plottable
	1256	self.add_fit_page(data=[data])
	1257
	1258	def update_fit(self, result=None, msg=""):
	1259	"""
	1260	"""
	1261	print "update_fit result", result
	1262
	1263	def _batch_fit_complete(self, result, pars, page_id,
	1264	batch_outputs, batch_inputs, elapsed=None):
	1265	"""
	1266	Display fit result in batch
[acf8e4a5]	1267	:param result: list of objects received from fitters
[f76bf17]	1268	:param pars: list of fitted parameters names
	1269	:param page_id: list of page ids which called fit function
	1270	:param elapsed: time spent at the fitting level
	1271	"""
	1272	self._mac_sleep(0.2)
	1273	uid = page_id[0]
	1274	if uid in self.fit_thread_list.keys():
	1275	del self.fit_thread_list[uid]
	1276
[373d4ee]	1277	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1278	t1 = time.time()
	1279	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1280	msg = "Fit completed on %s \n" % str_time
	1281	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1282	evt = StatusEvent(status=msg, info="info", type="stop")
	1283	wx.PostEvent(self.parent, evt)
[f76bf17]	1284
	1285	if batch_outputs is None:
	1286	batch_outputs = {}
	1287
	1288	# format batch_outputs
	1289	batch_outputs["Chi2"] = []
	1290	#Don't like these loops
	1291	# Need to create dictionary of all fitted parameters
	1292	# since the number of parameters can differ between each fit result
	1293	for list_res in result:
	1294	for res in list_res:
	1295	model, data = res.inputs[0]
	1296	if model is not None and hasattr(model, "model"):
	1297	model = model.model
	1298	#get all fittable parameters of the current model
	1299	for param in model.getParamList():
	1300	if param not in batch_outputs.keys():
	1301	batch_outputs[param] = []
	1302	for param in model.getDispParamList():
	1303	if not model.is_fittable(param) and \
	1304	param in batch_outputs.keys():
	1305	del batch_outputs[param]
	1306	# Add fitted parameters and their error
	1307	for param in res.param_list:
	1308	if param not in batch_outputs.keys():
	1309	batch_outputs[param] = []
	1310	err_param = "error on %s" % str(param)
	1311	if err_param not in batch_inputs.keys():
	1312	batch_inputs[err_param] = []
	1313	msg = ""
	1314	for list_res in result:
	1315	for res in list_res:
	1316	pid = res.fitter_id
	1317	model, data = res.inputs[0]
	1318	correct_result = False
	1319	if model is not None and hasattr(model, "model"):
	1320	model = model.model
	1321	if data is not None and hasattr(data, "sas_data"):
	1322	data = data.sas_data
	1323
	1324	is_data2d = issubclass(data.__class__, Data2D)
	1325	#check consistency of arrays
	1326	if not is_data2d:
	1327	if len(res.theory) == len(res.index[res.index]) and \
	1328	len(res.index) == len(data.y):
	1329	correct_result = True
	1330	else:
	1331	copy_data = deepcopy(data)
	1332	new_theory = copy_data.data
	1333	new_theory[res.index] = res.theory
	1334	new_theory[res.index == False] = numpy.nan
	1335	correct_result = True
	1336	#get all fittable parameters of the current model
	1337	param_list = model.getParamList()
	1338	for param in model.getDispParamList():
	1339	if not model.is_fittable(param) and \
	1340	param in param_list:
	1341	param_list.remove(param)
	1342	if not correct_result or res.fitness is None or \
	1343	not numpy.isfinite(res.fitness) or \
	1344	numpy.any(res.pvec == None) or not \
	1345	numpy.all(numpy.isfinite(res.pvec)):
	1346	data_name = str(None)
	1347	if data is not None:
	1348	data_name = str(data.name)
	1349	model_name = str(None)
	1350	if model is not None:
	1351	model_name = str(model.name)
	1352	msg += "Data %s and Model %s did not fit.\n" % (data_name,
	1353	model_name)
	1354	ERROR = numpy.NAN
	1355	cell = BatchCell()
	1356	cell.label = res.fitness
	1357	cell.value = res.fitness
	1358	batch_outputs["Chi2"].append(ERROR)
	1359	for param in param_list:
	1360	# save value of fixed parameters
	1361	if param not in res.param_list:
	1362	batch_outputs[str(param)].append(ERROR)
	1363	else:
	1364	#save only fitted values
	1365	batch_outputs[param].append(ERROR)
	1366	batch_inputs["error on %s" % str(param)].append(ERROR)
	1367	else:
[acf8e4a5]	1368	# TODO: Why sometimes res.pvec comes with numpy.float64?
	1369	# probably from scipy lmfit
[f76bf17]	1370	if res.pvec.__class__ == numpy.float64:
	1371	res.pvec = [res.pvec]
	1372
	1373	cell = BatchCell()
	1374	cell.label = res.fitness
	1375	cell.value = res.fitness
	1376	batch_outputs["Chi2"].append(cell)
	1377	# add parameters to batch_results
	1378	for param in param_list:
	1379	# save value of fixed parameters
	1380	if param not in res.param_list:
	1381	batch_outputs[str(param)].append(model.getParam(param))
	1382	else:
	1383	index = res.param_list.index(param)
	1384	#save only fitted values
	1385	batch_outputs[param].append(res.pvec[index])
	1386	if res.stderr is not None and \
	1387	len(res.stderr) == len(res.param_list):
	1388	item = res.stderr[index]
	1389	batch_inputs["error on %s" % param].append(item)
	1390	else:
	1391	batch_inputs["error on %s" % param].append('-')
	1392	model.setParam(param, res.pvec[index])
	1393	#fill the batch result with emtpy value if not in the current
	1394	#model
	1395	EMPTY = "-"
	1396	for key in batch_outputs.keys():
	1397	if key not in param_list and key not in ["Chi2", "Data"]:
	1398	batch_outputs[key].append(EMPTY)
	1399
	1400	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
	1401	batch_outputs=batch_outputs)
	1402
	1403	cpage = self.fit_panel.get_page_by_id(pid)
	1404	cpage._on_fit_complete()
	1405	self.page_finder[pid][data.id].set_result(res)
	1406	fitproblem = self.page_finder[pid][data.id]
	1407	qmin, qmax = fitproblem.get_range()
	1408	plot_result = False
	1409	if correct_result:
	1410	if not is_data2d:
	1411	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
	1412	elapsed=None,
	1413	index=res.index, model=model,
	1414	weight=None, fid=data.id,
	1415	toggle_mode_on=False, state=None,
	1416	data=data, update_chisqr=False,
	1417	source='fit', plot_result=plot_result)
	1418	else:
	1419	self._complete2D(image=new_theory, data=data,
	1420	model=model,
	1421	page_id=pid, elapsed=None,
	1422	index=res.index,
	1423	qmin=qmin,
	1424	qmax=qmax, fid=data.id, weight=None,
	1425	toggle_mode_on=False, state=None,
	1426	update_chisqr=False,
	1427	source='fit', plot_result=plot_result)
	1428	self.on_set_batch_result(page_id=pid,
	1429	fid=data.id,
	1430	batch_outputs=batch_outputs,
	1431	batch_inputs=batch_inputs)
	1432
[934ce649]	1433	evt = StatusEvent(status=msg, error="info", type="stop")
	1434	wx.PostEvent(self.parent, evt)
[f76bf17]	1435	# Remove parameters that are not shown
	1436	cpage = self.fit_panel.get_page_by_id(uid)
	1437	tbatch_outputs = {}
	1438	shownkeystr = cpage.get_copy_params()
	1439	for key in batch_outputs.keys():
	1440	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
	1441	tbatch_outputs[key] = batch_outputs[key]
	1442
	1443	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1444	batch_inputs, self.sub_menu)
	1445
	1446	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1447	"""
	1448	"""
	1449	pid = page_id
	1450	if fid not in self.page_finder[pid]:
	1451	return
	1452	fitproblem = self.page_finder[pid][fid]
	1453	index = self.page_finder[pid].nbr_residuals_computed - 1
	1454	residuals = fitproblem.get_residuals()
	1455	theory_data = fitproblem.get_theory_data()
	1456	data = fitproblem.get_fit_data()
	1457	model = fitproblem.get_model()
	1458	#fill batch result information
	1459	if "Data" not in batch_outputs.keys():
	1460	batch_outputs["Data"] = []
[d85c194]	1461	from sas.sasgui.guiframe.data_processor import BatchCell
[f76bf17]	1462	cell = BatchCell()
	1463	cell.label = data.name
	1464	cell.value = index
	1465
	1466	if theory_data != None:
	1467	#Suucessful fit
	1468	theory_data.id = wx.NewId()
	1469	theory_data.name = model.name + "[%s]" % str(data.name)
	1470	if issubclass(theory_data.__class__, Data2D):
	1471	group_id = wx.NewId()
	1472	theory_data.group_id = group_id
	1473	if group_id not in theory_data.list_group_id:
	1474	theory_data.list_group_id.append(group_id)
	1475
	1476	try:
	1477	# associate residuals plot
	1478	if issubclass(residuals.__class__, Data2D):
	1479	group_id = wx.NewId()
	1480	residuals.group_id = group_id
	1481	if group_id not in residuals.list_group_id:
	1482	residuals.list_group_id.append(group_id)
	1483	batch_outputs["Chi2"][index].object = [residuals]
	1484	except:
	1485	pass
	1486
	1487	cell.object = [data, theory_data]
	1488	batch_outputs["Data"].append(cell)
	1489	for key, value in data.meta_data.iteritems():
	1490	if key not in batch_inputs.keys():
	1491	batch_inputs[key] = []
	1492	#if key.lower().strip() != "loader":
	1493	batch_inputs[key].append(value)
	1494	param = "temperature"
	1495	if hasattr(data.sample, param):
	1496	if param not in batch_inputs.keys():
	1497	batch_inputs[param] = []
	1498	batch_inputs[param].append(data.sample.temperature)
	1499
	1500	def _fit_completed(self, result, page_id, batch_outputs,
	1501	batch_inputs=None, pars=None, elapsed=None):
	1502	"""
	1503	Display result of the fit on related panel(s).
	1504	:param result: list of object generated when fit ends
	1505	:param pars: list of names of parameters fitted
	1506	:param page_id: list of page ids which called fit function
	1507	:param elapsed: time spent at the fitting level
	1508	"""
	1509	t1 = time.time()
	1510	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1511	msg = "Fit completed on %s \n" % str_time
	1512	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1513	evt = StatusEvent(status=msg, info="info", type="stop")
	1514	wx.PostEvent(self.parent, evt)
[f76bf17]	1515	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
[373d4ee]	1516	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1517	result = result[0]
	1518	self.fit_thread_list = {}
	1519	if page_id is None:
	1520	page_id = []
	1521	## fit more than 1 model at the same time
	1522	self._mac_sleep(0.2)
	1523	try:
	1524	index = 0
[aac161f1]	1525	# Update potential simfit page(s)
	1526	if self.sim_page is not None:
	1527	self.sim_page._on_fit_complete()
	1528	if self.batch_page:
	1529	self.batch_page._on_fit_complete()
	1530	# Update all fit pages
[f76bf17]	1531	for uid in page_id:
	1532	res = result[index]
[1a5d5f2]	1533	fit_msg = res.mesg
[f76bf17]	1534	if res.fitness is None or \
	1535	not numpy.isfinite(res.fitness) or \
	1536	numpy.any(res.pvec == None) or \
	1537	not numpy.all(numpy.isfinite(res.pvec)):
[1a5d5f2]	1538	fit_msg += "\nFitting did not converge!!!"
[373d4ee]	1539	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1540	else:
	1541	#set the panel when fit result are float not list
	1542	if res.pvec.__class__ == numpy.float64:
	1543	pvec = [res.pvec]
	1544	else:
	1545	pvec = res.pvec
	1546	if res.stderr.__class__ == numpy.float64:
	1547	stderr = [res.stderr]
	1548	else:
	1549	stderr = res.stderr
	1550	cpage = self.fit_panel.get_page_by_id(uid)
	1551	# Make sure we got all results
	1552	#(CallAfter is important to MAC)
	1553	try:
	1554	#if res != None:
	1555	wx.CallAfter(cpage.onsetValues, res.fitness,
	1556	res.param_list,
	1557	pvec, stderr)
	1558	index += 1
	1559	wx.CallAfter(cpage._on_fit_complete)
	1560	except KeyboardInterrupt:
[1a5d5f2]	1561	fit_msg += "\nSingular point: Fitting stopped."
[f76bf17]	1562	except:
[1a5d5f2]	1563	fit_msg += "\nSingular point: Fitting error occurred."
	1564	if fit_msg:
	1565	evt = StatusEvent(status=fit_msg, info="warning", type="stop")
	1566	wx.PostEvent(self.parent, evt)
[f76bf17]	1567
	1568	except:
[e1442d4]	1569	msg = ("Fit completed but the following error occurred: %s"
	1570	% sys.exc_value)
	1571	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
[934ce649]	1572	evt = StatusEvent(status=msg, info="warning", type="stop")
	1573	wx.PostEvent(self.parent, evt)
[f76bf17]	1574
	1575	def _update_fit_button(self, page_id):
	1576	"""
	1577	Update Fit button when fit stopped
	1578
	1579	: parameter page_id: fitpage where the button is
	1580	"""
	1581	if page_id.__class__.__name__ != 'list':
	1582	page_id = [page_id]
	1583	for uid in page_id:
	1584	page = self.fit_panel.get_page_by_id(uid)
	1585	page._on_fit_complete()
	1586
	1587	def _on_show_panel(self, event):
	1588	"""
	1589	"""
	1590	pass
	1591
	1592	def on_reset_batch_flag(self, event):
	1593	"""
	1594	Set batch_reset_flag
	1595	"""
	1596	event.Skip()
	1597	if self.menu1 == None:
	1598	return
	1599	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1600	flag = menu_item.IsChecked()
	1601	if not flag:
	1602	menu_item.Check(False)
	1603	self.batch_reset_flag = True
	1604	else:
	1605	menu_item.Check(True)
	1606	self.batch_reset_flag = False
	1607
	1608	## post a message to status bar
	1609	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
[934ce649]	1610	wx.PostEvent(self.parent, StatusEvent(status=msg))
[f76bf17]	1611
	1612
	1613	def _on_slicer_event(self, event):
	1614	"""
	1615	Receive a panel as event and send it to guiframe
	1616
	1617	:param event: event containing a panel
	1618
	1619	"""
	1620	if event.panel is not None:
	1621	self.slicer_panels.append(event.panel)
	1622	# Set group ID if available
	1623	event_id = self.parent.popup_panel(event.panel)
	1624	event.panel.uid = event_id
	1625	self.mypanels.append(event.panel)
	1626
	1627	def _onclearslicer(self, event):
	1628	"""
	1629	Clear the boxslicer when close the panel associate with this slicer
	1630	"""
	1631	name = event.GetEventObject().frame.GetTitle()
	1632	for panel in self.slicer_panels:
	1633	if panel.window_caption == name:
	1634
	1635	for item in self.parent.panels:
	1636	if hasattr(self.parent.panels[item], "uid"):
	1637	if self.parent.panels[item].uid == panel.base.uid:
	1638	self.parent.panels[item].onClearSlicer(event)
	1639	#self.parent._mgr.Update()
	1640	break
	1641	break
	1642
	1643	def _on_model_panel(self, evt):
	1644	"""
	1645	react to model selection on any combo box or model menu.plot the model
	1646
	1647	:param evt: wx.combobox event
	1648
	1649	"""
	1650	model = evt.model
	1651	uid = evt.uid
	1652	qmin = evt.qmin
	1653	qmax = evt.qmax
	1654	caption = evt.caption
	1655	enable_smearer = evt.enable_smearer
	1656	if model == None:
	1657	return
	1658	if uid not in self.page_finder.keys():
	1659	return
	1660	# save the name containing the data name with the appropriate model
	1661	self.page_finder[uid].set_model(model)
	1662	self.page_finder[uid].enable_smearing(enable_smearer)
	1663	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
	1664	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1665	if self.sim_page is not None and not self.batch_on:
	1666	self.sim_page.draw_page()
	1667	if self.batch_page is not None and self.batch_on:
	1668	self.batch_page.draw_page()
	1669
	1670	def _update1D(self, x, output):
	1671	"""
	1672	Update the output of plotting model 1D
	1673	"""
	1674	msg = "Plot updating ... "
	1675	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
	1676
[c807957]	1677	def create_theory_1D(self, x, y, page_id, model, data, state,
[804fefa]	1678	data_description, data_id, dy=None):
[c807957]	1679	"""
	1680	Create a theory object associate with an existing Data1D
	1681	and add it to the data manager.
	1682	@param x: x-values of the data
	1683	@param y: y_values of the data
	1684	@param page_id: fit page ID
	1685	@param model: model used for fitting
	1686	@param data: Data1D object to create the theory for
	1687	@param state: model state
	1688	@param data_description: title to use in the data manager
	1689	@param data_id: unique data ID
	1690	"""
	1691	new_plot = Data1D(x=x, y=y)
[6a0c75d1]	1692	if dy is None:
	1693	new_plot.is_data = False
	1694	new_plot.dy = numpy.zeros(len(y))
	1695	# If this is a theory curve, pick the proper symbol to make it a curve
	1696	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	1697	else:
	1698	new_plot.is_data = True
	1699	new_plot.dy = dy
[804fefa]	1700	new_plot.interactive = True
	1701	new_plot.dx = None
	1702	new_plot.dxl = None
	1703	new_plot.dxw = None
[c807957]	1704	_yaxis, _yunit = data.get_yaxis()
	1705	_xaxis, _xunit = data.get_xaxis()
	1706	new_plot.title = data.name
	1707	new_plot.group_id = data.group_id
	1708	if new_plot.group_id == None:
	1709	new_plot.group_id = data.group_id
	1710	new_plot.id = data_id
	1711	# Find if this theory was already plotted and replace that plot given
	1712	# the same id
	1713	self.page_finder[page_id].get_theory_data(fid=data.id)
	1714
	1715	if data.is_data:
	1716	data_name = str(data.name)
	1717	else:
	1718	data_name = str(model.__class__.__name__)
	1719
	1720	new_plot.name = data_description + " [" + data_name + "]"
	1721	new_plot.xaxis(_xaxis, _xunit)
	1722	new_plot.yaxis(_yaxis, _yunit)
	1723	self.page_finder[page_id].set_theory_data(data=new_plot,
	1724	fid=data.id)
	1725	self.parent.update_theory(data_id=data.id, theory=new_plot,
	1726	state=state)
	1727	return new_plot
	1728
[f76bf17]	1729	def _complete1D(self, x, y, page_id, elapsed, index, model,
	1730	weight=None, fid=None,
	1731	toggle_mode_on=False, state=None,
	1732	data=None, update_chisqr=True,
[804fefa]	1733	source='model', plot_result=True,
	1734	unsmeared_model=None, unsmeared_data=None,
[ca4d985]	1735	unsmeared_error=None, sq_model=None, pq_model=None):
[f76bf17]	1736	"""
[c807957]	1737	Complete plotting 1D data
	1738	@param unsmeared_model: fit model, without smearing
[804fefa]	1739	@param unsmeared_data: data, rescaled to unsmeared model
[edbe974]	1740	@param unsmeared_error: data error, rescaled to unsmeared model
[f76bf17]	1741	"""
	1742	try:
	1743	numpy.nan_to_num(y)
[c807957]	1744	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
	1745	data_description=model.name,
	1746	data_id=str(page_id) + " " + data.name)
	1747	if unsmeared_model is not None:
	1748	self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
	1749	data_description=model.name + " unsmeared",
	1750	data_id=str(page_id) + " " + data.name + " unsmeared")
[f76bf17]	1751
[286c757]	1752	if unsmeared_data is not None and unsmeared_error is not None:
	1753	self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
	1754	data_description="Data unsmeared",
	1755	data_id="Data " + data.name + " unsmeared",
	1756	dy=unsmeared_error)
[4c5098c]	1757	# Comment this out until we can get P*S models with correctly populated parameters
	1758	#if sq_model is not None and pq_model is not None:
	1759	# self.create_theory_1D(x, sq_model, page_id, model, data, state,
	1760	# data_description=model.name + " S(q)",
	1761	# data_id=str(page_id) + " " + data.name + " S(q)")
	1762	# self.create_theory_1D(x, pq_model, page_id, model, data, state,
	1763	# data_description=model.name + " P(q)",
	1764	# data_id=str(page_id) + " " + data.name + " P(q)")
[804fefa]	1765
[f76bf17]	1766	current_pg = self.fit_panel.get_page_by_id(page_id)
	1767	title = new_plot.title
	1768	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1769	if not batch_on:
	1770	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1771	title=str(title)))
	1772	elif plot_result:
	1773	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1774	if data.id == top_data_id:
	1775	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1776	title=str(title)))
	1777	caption = current_pg.window_caption
	1778	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
	1779
	1780	self.page_finder[page_id].set_theory_data(data=new_plot,
	1781	fid=data.id)
	1782	if toggle_mode_on:
	1783	wx.PostEvent(self.parent,
	1784	NewPlotEvent(group_id=str(page_id) + " Model2D",
	1785	action="Hide"))
	1786	else:
	1787	if update_chisqr:
	1788	wx.PostEvent(current_pg,
	1789	Chi2UpdateEvent(output=self._cal_chisqr(
	1790	data=data,
	1791	fid=fid,
	1792	weight=weight,
	1793	page_id=page_id,
	1794	index=index)))
	1795	else:
	1796	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1797	index=index, weight=weight)
	1798
	1799	msg = "Computation completed!"
	1800	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1801	except:
	1802	raise
	1803
[934ce649]	1804	def _calc_exception(self, etype, value, tb):
	1805	"""
	1806	Handle exception from calculator by posting it as an error.
	1807	"""
	1808	logging.error("".join(traceback.format_exception(etype, value, tb)))
	1809	msg = traceback.format_exception(etype, value, tb, limit=1)
	1810	evt = StatusEvent(status="".join(msg), type="stop", info="error")
	1811	wx.PostEvent(self.parent, evt)
	1812
[f76bf17]	1813	def _update2D(self, output, time=None):
	1814	"""
	1815	Update the output of plotting model
	1816	"""
[934ce649]	1817	msg = "Plot updating ... "
	1818	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
[f76bf17]	1819
	1820	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1821	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
	1822	update_chisqr=True, source='model', plot_result=True):
	1823	"""
	1824	Complete get the result of modelthread and create model 2D
	1825	that can be plot.
	1826	"""
	1827	numpy.nan_to_num(image)
	1828	new_plot = Data2D(image=image, err_image=data.err_data)
	1829	new_plot.name = model.name + '2d'
	1830	new_plot.title = "Analytical model 2D "
	1831	new_plot.id = str(page_id) + " " + data.name
	1832	new_plot.group_id = str(page_id) + " Model2D"
	1833	new_plot.detector = data.detector
	1834	new_plot.source = data.source
	1835	new_plot.is_data = False
	1836	new_plot.qx_data = data.qx_data
	1837	new_plot.qy_data = data.qy_data
	1838	new_plot.q_data = data.q_data
	1839	new_plot.mask = data.mask
	1840	## plot boundaries
	1841	new_plot.ymin = data.ymin
	1842	new_plot.ymax = data.ymax
	1843	new_plot.xmin = data.xmin
	1844	new_plot.xmax = data.xmax
	1845	title = data.title
	1846
	1847	new_plot.is_data = False
	1848	if data.is_data:
	1849	data_name = str(data.name)
	1850	else:
	1851	data_name = str(model.__class__.__name__) + '2d'
	1852
	1853	if len(title) > 1:
	1854	new_plot.title = "Model2D for %s " % model.name + data_name
	1855	new_plot.name = model.name + " [" + \
	1856	data_name + "]"
	1857	theory_data = deepcopy(new_plot)
	1858
	1859	self.page_finder[page_id].set_theory_data(data=theory_data,
	1860	fid=data.id)
	1861	self.parent.update_theory(data_id=data.id,
	1862	theory=new_plot,
	1863	state=state)
	1864	current_pg = self.fit_panel.get_page_by_id(page_id)
	1865	title = new_plot.title
	1866	if not source == 'fit' and plot_result:
	1867	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1868	title=title))
	1869	if toggle_mode_on:
	1870	wx.PostEvent(self.parent,
	1871	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1872	action="Hide"))
	1873	else:
	1874	# Chisqr in fitpage
	1875	if update_chisqr:
	1876	wx.PostEvent(current_pg,
	1877	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
	1878	weight=weight,
	1879	fid=fid,
	1880	page_id=page_id,
	1881	index=index)))
	1882	else:
	1883	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1884	index=index, weight=weight)
	1885	msg = "Computation completed!"
	1886	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1887
	1888	def _draw_model2D(self, model, page_id, qmin,
	1889	qmax,
	1890	data=None, smearer=None,
	1891	description=None, enable2D=False,
	1892	state=None,
	1893	fid=None,
	1894	weight=None,
	1895	toggle_mode_on=False,
	1896	update_chisqr=True, source='model'):
	1897	"""
	1898	draw model in 2D
	1899
	1900	:param model: instance of the model to draw
	1901	:param description: the description of the model
	1902	:param enable2D: when True allows to draw model 2D
	1903	:param qmin: the minimum value to draw model 2D
	1904	:param qmax: the maximum value to draw model 2D
	1905	:param qstep: the number of division of Qx and Qy of the model to draw
	1906
	1907	"""
	1908	if not enable2D:
	1909	return None
	1910	try:
	1911	from model_thread import Calc2D
	1912	## If a thread is already started, stop it
	1913	if (self.calc_2D is not None) and self.calc_2D.isrunning():
	1914	self.calc_2D.stop()
	1915	## stop just raises a flag to tell the thread to kill
	1916	## itself -- see the fix in Calc1D implemented to fix
	1917	## an actual problem. Seems the fix should also go here
	1918	## and may be the cause of other noted instabilities
	1919	##
	1920	## -PDB August 12, 2014
	1921	while self.calc_2D.isrunning():
	1922	time.sleep(0.1)
	1923	self.calc_2D = Calc2D(model=model,
[934ce649]	1924	data=data,
	1925	page_id=page_id,
	1926	smearer=smearer,
	1927	qmin=qmin,
	1928	qmax=qmax,
	1929	weight=weight,
	1930	fid=fid,
	1931	toggle_mode_on=toggle_mode_on,
	1932	state=state,
	1933	completefn=self._complete2D,
	1934	update_chisqr=update_chisqr,
	1935	exception_handler=self._calc_exception,
	1936	source=source)
[f76bf17]	1937	self.calc_2D.queue()
	1938	except:
	1939	raise
	1940
	1941	def _draw_model1D(self, model, page_id, data,
	1942	qmin, qmax, smearer=None,
	1943	state=None,
	1944	weight=None,
	1945	fid=None,
	1946	toggle_mode_on=False, update_chisqr=True, source='model',
	1947	enable1D=True):
	1948	"""
	1949	Draw model 1D from loaded data1D
	1950
	1951	:param data: loaded data
	1952	:param model: the model to plot
	1953
	1954	"""
	1955	if not enable1D:
	1956	return
	1957	try:
	1958	from model_thread import Calc1D
	1959	## If a thread is already started, stop it
	1960	if (self.calc_1D is not None) and self.calc_1D.isrunning():
	1961	self.calc_1D.stop()
	1962	## stop just raises the flag -- the thread is supposed to
	1963	## then kill itself but cannot. Paul Kienzle came up with
	1964	## this fix to prevent threads from stepping on each other
[ddbac66]	1965	## which was causing a simple custom plugin model to crash
	1966	##Sasview.
[f76bf17]	1967	## We still don't know why the fit sometimes lauched a second
	1968	## thread -- something which should also be investigated.
	1969	## The thread approach was implemented in order to be able
	1970	## to lauch a computation in a separate thread from the GUI so
	1971	## that the GUI can still respond to user input including
	1972	## a request to stop the computation.
	1973	## It seems thus that the whole thread approach used here
	1974	## May need rethinking
	1975	##
[d99f008]	1976	## -PDB August 12, 2014
[f76bf17]	1977	while self.calc_1D.isrunning():
	1978	time.sleep(0.1)
	1979	self.calc_1D = Calc1D(data=data,
	1980	model=model,
	1981	page_id=page_id,
	1982	qmin=qmin,
	1983	qmax=qmax,
	1984	smearer=smearer,
	1985	state=state,
	1986	weight=weight,
	1987	fid=fid,
	1988	toggle_mode_on=toggle_mode_on,
	1989	completefn=self._complete1D,
	1990	#updatefn = self._update1D,
	1991	update_chisqr=update_chisqr,
[934ce649]	1992	exception_handler=self._calc_exception,
[f76bf17]	1993	source=source)
	1994	self.calc_1D.queue()
	1995	except:
	1996	msg = " Error occurred when drawing %s Model 1D: " % model.name
	1997	msg += " %s" % sys.exc_value
	1998	wx.PostEvent(self.parent, StatusEvent(status=msg))
	1999
	2000	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
	2001	"""
	2002	Get handy Chisqr using the output from draw1D and 2D,
	2003	instead of calling expansive CalcChisqr in guithread
	2004	"""
	2005	try:
	2006	data_copy = deepcopy(data)
	2007	except:
	2008	return
	2009	# default chisqr
	2010	chisqr = None
	2011	#to compute chisq make sure data has valid data
	2012	# return None if data == None
	2013	if not check_data_validity(data_copy) or data_copy == None:
	2014	return chisqr
	2015
	2016	# Get data: data I, theory I, and data dI in order
	2017	if data_copy.__class__.__name__ == "Data2D":
	2018	if index == None:
	2019	index = numpy.ones(len(data_copy.data), dtype=bool)
	2020	if weight != None:
	2021	data_copy.err_data = weight
	2022	# get rid of zero error points
	2023	index = index & (data_copy.err_data != 0)
	2024	index = index & (numpy.isfinite(data_copy.data))
	2025	fn = data_copy.data[index]
	2026	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2027	if theory_data == None:
	2028	return chisqr
	2029	gn = theory_data.data[index]
	2030	en = data_copy.err_data[index]
	2031	else:
	2032	# 1 d theory from model_thread is only in the range of index
	2033	if index == None:
	2034	index = numpy.ones(len(data_copy.y), dtype=bool)
	2035	if weight != None:
	2036	data_copy.dy = weight
	2037	if data_copy.dy == None or data_copy.dy == []:
	2038	dy = numpy.ones(len(data_copy.y))
	2039	else:
[acf8e4a5]	2040	## Set consistently w/AbstractFitengine:
[f76bf17]	2041	# But this should be corrected later.
	2042	dy = deepcopy(data_copy.dy)
	2043	dy[dy == 0] = 1
	2044	fn = data_copy.y[index]
	2045
	2046	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2047	if theory_data == None:
	2048	return chisqr
	2049	gn = theory_data.y
	2050	en = dy[index]
	2051
	2052	# residual
	2053	try:
	2054	res = (fn - gn) / en
	2055	except ValueError:
	2056	print "Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en))
	2057	return
	2058
	2059	residuals = res[numpy.isfinite(res)]
	2060	# get chisqr only w/finite
	2061	chisqr = numpy.average(residuals * residuals)
	2062
	2063	self._plot_residuals(page_id=page_id, data=data_copy,
	2064	fid=fid,
	2065	weight=weight, index=index)
	2066
	2067	return chisqr
	2068
	2069	def _plot_residuals(self, page_id, weight, fid=None,
	2070	data=None, index=None):
	2071	"""
	2072	Plot the residuals
	2073
	2074	:param data: data
	2075	:param index: index array (bool)
	2076	: Note: this is different from the residuals in cal_chisqr()
	2077	"""
	2078	data_copy = deepcopy(data)
	2079	# Get data: data I, theory I, and data dI in order
	2080	if data_copy.__class__.__name__ == "Data2D":
	2081	# build residuals
	2082	residuals = Data2D()
	2083	#residuals.copy_from_datainfo(data)
	2084	# Not for trunk the line below, instead use the line above
	2085	data_copy.clone_without_data(len(data_copy.data), residuals)
	2086	residuals.data = None
	2087	fn = data_copy.data
	2088	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2089	gn = theory_data.data
	2090	if weight == None:
	2091	en = data_copy.err_data
	2092	else:
	2093	en = weight
	2094	residuals.data = (fn - gn) / en
	2095	residuals.qx_data = data_copy.qx_data
	2096	residuals.qy_data = data_copy.qy_data
	2097	residuals.q_data = data_copy.q_data
	2098	residuals.err_data = numpy.ones(len(residuals.data))
	2099	residuals.xmin = min(residuals.qx_data)
	2100	residuals.xmax = max(residuals.qx_data)
	2101	residuals.ymin = min(residuals.qy_data)
	2102	residuals.ymax = max(residuals.qy_data)
	2103	residuals.q_data = data_copy.q_data
	2104	residuals.mask = data_copy.mask
	2105	residuals.scale = 'linear'
	2106	# check the lengths
	2107	if len(residuals.data) != len(residuals.q_data):
	2108	return
	2109	else:
	2110	# 1 d theory from model_thread is only in the range of index
	2111	if data_copy.dy == None or data_copy.dy == []:
	2112	dy = numpy.ones(len(data_copy.y))
	2113	else:
	2114	if weight == None:
	2115	dy = numpy.ones(len(data_copy.y))
	2116	## Set consitently w/AbstractFitengine:
	2117	## But this should be corrected later.
	2118	else:
	2119	dy = weight
	2120	dy[dy == 0] = 1
	2121	fn = data_copy.y[index]
	2122	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2123	gn = theory_data.y
	2124	en = dy[index]
	2125	# build residuals
	2126	residuals = Data1D()
	2127	try:
	2128	residuals.y = (fn - gn) / en
	2129	except:
	2130	msg = "ResidualPlot Error: different # of data points in theory"
	2131	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	2132	residuals.y = (fn - gn[index]) / en
	2133	residuals.x = data_copy.x[index]
	2134	residuals.dy = numpy.ones(len(residuals.y))
	2135	residuals.dx = None
	2136	residuals.dxl = None
	2137	residuals.dxw = None
	2138	residuals.ytransform = 'y'
	2139	# For latter scale changes
	2140	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2141	residuals.yaxis('\\rm{Residuals} ', 'normalized')
	2142	theory_name = str(theory_data.name.split()[0])
	2143	new_plot = residuals
	2144	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
	2145	str(data.name) + "]"
	2146	## allow to highlight data when plotted
	2147	new_plot.interactive = True
	2148	## when 2 data have the same id override the 1 st plotted
	2149	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
	2150	##group_id specify on which panel to plot this data
	2151	group_id = self.page_finder[page_id].get_graph_id()
	2152	if group_id == None:
	2153	group_id = data.group_id
	2154	new_plot.group_id = "res" + str(group_id)
	2155	#new_plot.is_data = True
	2156	##post data to plot
	2157	title = new_plot.name
	2158	self.page_finder[page_id].set_residuals(residuals=new_plot,
	2159	fid=data.id)
	2160	self.parent.update_theory(data_id=data.id, theory=new_plot)
	2161	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	2162	if not batch_on:
	2163	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ 3563e06

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