fitting.py @ 00f7ff1

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

Last change on this file since 00f7ff1 was 00f7ff1, checked in by Paul Kienzle <pkienzle@…>, 7 years ago
move sim fit state to sascalc pagestate
Property mode set to `100755`
File size: 88.5 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	################################################################################
[a534432]	13	from __future__ import print_function
	14
[f76bf17]	15	import re
	16	import sys
	17	import os
	18	import wx
	19	import logging
[9a5097c]	20	import numpy as np
[f76bf17]	21	import time
	22	from copy import deepcopy
[934ce649]	23	import traceback
[f76bf17]	24
[00f7ff1]	25	import bumps.options
	26	from bumps.gui.fit_dialog import show_fit_config
	27	try:
	28	from bumps.gui.fit_dialog import EVT_FITTER_CHANGED
	29	except ImportError:
	30	# CRUFT: bumps 0.7.5.8 and below
	31	EVT_FITTER_CHANGED = None # type: wx.PyCommandEvent
	32
[b699768]	33	from sas.sascalc.dataloader.loader import Loader
[2a0f33f]	34	from sas.sascalc.fit.BumpsFitting import BumpsFit as Fit
[00f7ff1]	35	from sas.sascalc.fit.pagestate import Reader, PageState, SimFitPageState
[2a0f33f]	36
[d85c194]	37	from sas.sasgui.guiframe.dataFitting import Data2D
	38	from sas.sasgui.guiframe.dataFitting import Data1D
	39	from sas.sasgui.guiframe.dataFitting import check_data_validity
	40	from sas.sasgui.guiframe.events import NewPlotEvent
	41	from sas.sasgui.guiframe.events import StatusEvent
	42	from sas.sasgui.guiframe.events import EVT_SLICER_PANEL
	43	from sas.sasgui.guiframe.events import EVT_SLICER_PARS_UPDATE
	44	from sas.sasgui.guiframe.gui_style import GUIFRAME_ID
	45	from sas.sasgui.guiframe.plugin_base import PluginBase
	46	from sas.sasgui.guiframe.data_processor import BatchCell
	47	from sas.sasgui.guiframe.gui_manager import MDIFrame
	48	from sas.sasgui.guiframe.documentation_window import DocumentationWindow
[f76bf17]	49
[00f7ff1]	50	from sas.sasgui.perspectives.calculator.model_editor import TextDialog
	51	from sas.sasgui.perspectives.calculator.model_editor import EditorWindow
	52
	53	from .fitting_widgets import DataDialog
	54	from .fit_thread import FitThread
	55	from .fitpage import Chi2UpdateEvent
	56	from .console import ConsoleUpdate
	57	from .fitproblem import FitProblemDictionary
	58	from .fitpanel import FitPanel
	59	from .model_thread import Calc1D, Calc2D
	60	from .resultpanel import ResultPanel, PlotResultEvent
	61	from .gpu_options import GpuOptions
[934ce649]	62	from . import models
	63
[463e7ffc]	64	logger = logging.getLogger(__name__)
[c155a16]	65
[f76bf17]	66	MAX_NBR_DATA = 4
	67
	68	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
	69
	70
	71	if sys.platform == "win32":
	72	ON_MAC = False
	73	else:
	74	ON_MAC = True
	75
	76
	77	class Plugin(PluginBase):
	78	"""
	79	Fitting plugin is used to perform fit
	80	"""
[f21d496]	81	def __init__(self):
	82	PluginBase.__init__(self, name="Fitting")
[f76bf17]	83
	84	#list of panel to send to guiframe
	85	self.mypanels = []
	86	# reference to the current running thread
	87	self.calc_2D = None
	88	self.calc_1D = None
	89
	90	self.color_dict = {}
	91
	92	self.fit_thread_list = {}
	93	self.residuals = None
	94	self.weight = None
	95	self.fit_panel = None
	96	self.plot_panel = None
	97	# Start with a good default
	98	self.elapsed = 0.022
	99	self.fit_panel = None
	100	## dictionary of page closed and id
	101	self.closed_page_dict = {}
	102	## Relative error desired in the sum of squares (float)
	103	self.batch_reset_flag = True
	104	#List of selected data
	105	self.selected_data_list = []
	106	## list of slicer panel created to display slicer parameters and results
	107	self.slicer_panels = []
	108	# model 2D view
	109	self.model2D_id = None
	110	#keep reference of the simultaneous fit page
	111	self.sim_page = None
	112	self.sim_menu = None
	113	self.batch_page = None
	114	self.batch_menu = None
	115	self.index_model = 0
	116	self.test_model_color = None
	117	#Create a reader for fit page's state
	118	self.state_reader = None
	119	self._extensions = '.fitv'
	120	self.menu1 = None
	121	self.new_model_frame = None
	122
	123	self.temp_state = []
	124	self.state_index = 0
	125	self.sfile_ext = None
	126	# take care of saving data, model and page associated with each other
	127	self.page_finder = {}
	128	# Log startup
[c155a16]	129	logger.info("Fitting plug-in started")
[f76bf17]	130	self.batch_capable = self.get_batch_capable()
	131
	132	def get_batch_capable(self):
	133	"""
	134	Check if the plugin has a batch capability
	135	"""
	136	return True
	137
	138	def create_fit_problem(self, page_id):
	139	"""
	140	Given an ID create a fitproblem container
	141	"""
	142	self.page_finder[page_id] = FitProblemDictionary()
	143
	144	def delete_fit_problem(self, page_id):
	145	"""
	146	Given an ID create a fitproblem container
	147	"""
	148	if page_id in self.page_finder.iterkeys():
	149	del self.page_finder[page_id]
	150
	151	def add_color(self, color, id):
	152	"""
	153	adds a color as a key with a plot id as its value to a dictionary
	154	"""
	155	self.color_dict[id] = color
	156
	157	def on_batch_selection(self, flag):
	158	"""
	159	switch the the notebook of batch mode or not
	160	"""
	161	self.batch_on = flag
	162	if self.fit_panel is not None:
	163	self.fit_panel.batch_on = self.batch_on
	164
	165	def populate_menu(self, owner):
	166	"""
	167	Create a menu for the Fitting plug-in
	168
	169	:param id: id to create a menu
	170	:param owner: owner of menu
	171
	172	:return: list of information to populate the main menu
	173
	174	"""
	175	#Menu for fitting
	176	self.menu1 = wx.Menu()
	177	id1 = wx.NewId()
	178	simul_help = "Add new fit panel"
	179	self.menu1.Append(id1, '&New Fit Page', simul_help)
	180	wx.EVT_MENU(owner, id1, self.on_add_new_page)
	181	self.menu1.AppendSeparator()
	182	self.id_simfit = wx.NewId()
	183	simul_help = "Constrained or Simultaneous Fit"
	184	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
	185	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
	186	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
	187	self.sim_menu.Enable(False)
	188	#combined Batch
	189	self.id_batchfit = wx.NewId()
	190	batch_help = "Combined Batch"
	191	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
	192	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
	193	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
	194	self.batch_menu.Enable(False)
	195
	196	self.menu1.AppendSeparator()
	197	self.id_bumps_options = wx.NewId()
	198	bopts_help = "Fitting options"
	199	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
	200	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
	201	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
	202	self.bumps_options_menu.Enable(True)
	203
[73cbeec]	204	self.id_gpu_options_panel = wx.NewId()
	205	self.menu1.Append(self.id_gpu_options_panel, "OpenCL Options", "Choose OpenCL driver or turn it off")
	206	wx.EVT_MENU(owner, self.id_gpu_options_panel, self.on_gpu_options)
	207
[f76bf17]	208	self.id_result_panel = wx.NewId()
	209	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
[9776c82]	210	wx.EVT_MENU(owner, self.id_result_panel, self.on_fit_results)
[f76bf17]	211	self.menu1.AppendSeparator()
	212
	213	self.id_reset_flag = wx.NewId()
	214	resetf_help = "BatchFit: If checked, the initial param values will be "
	215	resetf_help += "propagated from the previous results. "
	216	resetf_help += "Otherwise, the same initial param values will be used "
	217	resetf_help += "for all fittings."
	218	self.menu1.AppendCheckItem(self.id_reset_flag,
	219	"Chain Fitting [BatchFit Only]",
	220	resetf_help)
	221	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
	222	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
	223	chain_menu.Check(not self.batch_reset_flag)
	224	chain_menu.Enable(self.batch_on)
	225
	226	self.menu1.AppendSeparator()
	227	self.edit_model_menu = wx.Menu()
	228	# Find and put files name in menu
	229	try:
	230	self.set_edit_menu(owner=owner)
	231	except:
	232	raise
	233
	234	self.id_edit = wx.NewId()
[ec72ceb]	235	self.menu1.AppendMenu(self.id_edit, "Plugin Model Operations",
[e92a352]	236	self.edit_model_menu)
[f76bf17]	237	#create menubar items
	238	return [(self.menu1, self.sub_menu)]
	239
	240	def edit_custom_model(self, event):
	241	"""
	242	Get the python editor panel
	243	"""
[00f7ff1]	244	from sas.sasgui.perspectives.calculator.pyconsole import PyConsole
	245
[f21d496]	246	event_id = event.GetId()
	247	label = self.edit_menu.GetLabel(event_id)
[f76bf17]	248	filename = os.path.join(models.find_plugins_dir(), label)
	249	frame = PyConsole(parent=self.parent, manager=self,
	250	panel=self.fit_panel,
[ec72ceb]	251	title='Advanced Plugin Model Editor',
[f76bf17]	252	filename=filename)
	253	self.put_icon(frame)
	254	frame.Show(True)
	255
	256	def delete_custom_model(self, event):
	257	"""
	258	Delete custom model file
	259	"""
[f21d496]	260	event_id = event.GetId()
	261	label = self.delete_menu.GetLabel(event_id)
[f76bf17]	262	toks = os.path.splitext(label)
	263	path = os.path.join(models.find_plugins_dir(), toks[0])
	264	try:
	265	for ext in ['.py', '.pyc']:
	266	p_path = path + ext
	267	os.remove(p_path)
	268	self.update_custom_combo()
	269	if os.path.isfile(p_path):
[e92a352]	270	msg = "Sorry! unable to delete the default "
	271	msg += "plugin model... \n"
[f76bf17]	272	msg += "Please manually remove the files (.py, .pyc) "
	273	msg += "in the 'plugin_models' folder \n"
	274	msg += "inside of the SasView application, "
	275	msg += "and try it again."
	276	wx.MessageBox(msg, 'Info')
[934ce649]	277	#evt = StatusEvent(status=msg, type='stop', info='warning')
	278	#wx.PostEvent(self.parent, evt)
[f76bf17]	279	else:
[f21d496]	280	self.delete_menu.Delete(event_id)
[f76bf17]	281	for item in self.edit_menu.GetMenuItems():
	282	if item.GetLabel() == label:
	283	self.edit_menu.DeleteItem(item)
[e92a352]	284	msg = "The plugin model, %s, has been deleted." % label
[934ce649]	285	evt = StatusEvent(status=msg, type='stop', info='info')
	286	wx.PostEvent(self.parent, evt)
[f76bf17]	287	break
[7673ecd]	288	except Exception:
[00f7ff1]	289	traceback.print_exc()
[f76bf17]	290	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
	291	wx.MessageBox(msg, 'Error')
	292
	293	def make_sum_model(self, event):
	294	"""
	295	Edit summodel template and make one
	296	"""
[f21d496]	297	event_id = event.GetId()
[f76bf17]	298	model_manager = models.ModelManager()
	299	model_list = model_manager.get_model_name_list()
	300	plug_dir = models.find_plugins_dir()
[6f16e25]	301	textdial = TextDialog(None, self, wx.ID_ANY, 'Easy Sum/Multi(p1, p2) Editor',
[f76bf17]	302	model_list, plug_dir)
	303	self.put_icon(textdial)
	304	textdial.ShowModal()
	305	textdial.Destroy()
	306
	307	def make_new_model(self, event):
	308	"""
	309	Make new model
	310	"""
[a534432]	311	if self.new_model_frame is not None:
[f76bf17]	312	self.new_model_frame.Show(False)
	313	self.new_model_frame.Show(True)
	314	else:
[f21d496]	315	event_id = event.GetId()
[f76bf17]	316	dir_path = models.find_plugins_dir()
[ec72ceb]	317	title = "New Plugin Model Function"
[f76bf17]	318	self.new_model_frame = EditorWindow(parent=self, base=self,
	319	path=dir_path, title=title)
	320	self.put_icon(self.new_model_frame)
	321	self.new_model_frame.Show(True)
	322
[105ef92]	323	def load_plugin_models(self, event):
	324	"""
	325	Update of models in plugin_models folder
	326	"""
	327	event_id = event.GetId()
[c807957]	328	self.update_custom_combo()
[105ef92]	329
[f76bf17]	330	def update_custom_combo(self):
	331	"""
	332	Update custom model list in the fitpage combo box
	333	"""
[ec72ceb]	334	custom_model = 'Plugin Models'
[f76bf17]	335	try:
	336	# Update edit menus
	337	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
	338	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
	339	temp = self.fit_panel.reset_pmodel_list()
	340	if temp:
[e92a352]	341	# Set the new plugin model list for all fit pages
[f76bf17]	342	for uid, page in self.fit_panel.opened_pages.iteritems():
	343	if hasattr(page, "formfactorbox"):
	344	page.model_list_box = temp
	345	current_val = page.formfactorbox.GetLabel()
	346	#if page.plugin_rbutton.GetValue():
	347	mod_cat = page.categorybox.GetStringSelection()
	348	if mod_cat == custom_model:
	349	#pos = page.formfactorbox.GetSelection()
	350	page._show_combox_helper()
	351	new_val = page.formfactorbox.GetLabel()
	352	if current_val != new_val and new_val != '':
	353	page.formfactorbox.SetLabel(new_val)
	354	else:
	355	page.formfactorbox.SetLabel(current_val)
	356	except:
[c155a16]	357	logger.error("update_custom_combo: %s", sys.exc_value)
[f76bf17]	358
	359	def set_edit_menu(self, owner):
	360	"""
	361	Set list of the edit model menu labels
	362	"""
[f21d496]	363	wx_id = wx.NewId()
[f76bf17]	364	#new_model_menu = wx.Menu()
[ec72ceb]	365	self.edit_model_menu.Append(wx_id, 'New Plugin Model',
[f76bf17]	366	'Add a new model function')
[f21d496]	367	wx.EVT_MENU(owner, wx_id, self.make_new_model)
[2a0f33f]	368
[f21d496]	369	wx_id = wx.NewId()
	370	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
[f76bf17]	371	'Sum of two model functions')
[f21d496]	372	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
[105ef92]	373
[f76bf17]	374	e_id = wx.NewId()
	375	self.edit_menu = wx.Menu()
	376	self.edit_model_menu.AppendMenu(e_id,
[ec72ceb]	377	'Advanced Plugin Editor', self.edit_menu)
[f76bf17]	378	self.set_edit_menu_helper(owner, self.edit_custom_model)
	379
	380	d_id = wx.NewId()
	381	self.delete_menu = wx.Menu()
	382	self.edit_model_menu.AppendMenu(d_id,
[ec72ceb]	383	'Delete Plugin Models', self.delete_menu)
[f76bf17]	384	self.set_edit_menu_helper(owner, self.delete_custom_model)
	385
[105ef92]	386	wx_id = wx.NewId()
[ec72ceb]	387	self.edit_model_menu.Append(wx_id, 'Load Plugin Models',
[105ef92]	388	'(Re)Load all models present in user plugin_models folder')
	389	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
[2a0f33f]	390
[f76bf17]	391	def set_edit_menu_helper(self, owner=None, menu=None):
	392	"""
	393	help for setting list of the edit model menu labels
	394	"""
[a534432]	395	if menu is None:
[f76bf17]	396	menu = self.edit_custom_model
	397	list_fnames = os.listdir(models.find_plugins_dir())
	398	list_fnames.sort()
	399	for f_item in list_fnames:
	400	name = os.path.basename(f_item)
	401	toks = os.path.splitext(name)
	402	if toks[-1] == '.py' and not toks[0] == '__init__':
	403	if menu == self.edit_custom_model:
	404	if toks[0] == 'easy_sum_of_p1_p2':
	405	continue
	406	submenu = self.edit_menu
	407	else:
	408	submenu = self.delete_menu
	409	has_file = False
	410	for item in submenu.GetMenuItems():
	411	if name == submenu.GetLabel(item.GetId()):
	412	has_file = True
	413	if not has_file:
[f21d496]	414	wx_id = wx.NewId()
	415	submenu.Append(wx_id, name)
	416	wx.EVT_MENU(owner, wx_id, menu)
[f76bf17]	417	has_file = False
	418
	419	def put_icon(self, frame):
	420	"""
	421	Put icon in the frame title bar
	422	"""
	423	if hasattr(frame, "IsIconized"):
	424	if not frame.IsIconized():
	425	try:
	426	icon = self.parent.GetIcon()
	427	frame.SetIcon(icon)
	428	except:
	429	pass
	430
	431	def on_add_sim_page(self, event):
	432	"""
	433	Create a page to access simultaneous fit option
	434	"""
[f21d496]	435	event_id = event.GetId()
[f76bf17]	436	caption = "Const & Simul Fit"
	437	page = self.sim_page
[f21d496]	438	if event_id == self.id_batchfit:
[f76bf17]	439	caption = "Combined Batch"
	440	page = self.batch_page
	441
	442	def set_focus_page(page):
	443	page.Show(True)
	444	page.Refresh()
	445	page.SetFocus()
	446	#self.parent._mgr.Update()
	447	msg = "%s already opened\n" % str(page.window_caption)
	448	wx.PostEvent(self.parent, StatusEvent(status=msg))
	449
[a534432]	450	if page is not None:
[f76bf17]	451	return set_focus_page(page)
	452	if caption == "Const & Simul Fit":
	453	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	454	else:
	455	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
	456
	457	def get_context_menu(self, plotpanel=None):
	458	"""
	459	Get the context menu items available for P(r).them allow fitting option
	460	for Data2D and Data1D only.
	461
	462	:param graph: the Graph object to which we attach the context menu
	463
	464	:return: a list of menu items with call-back function
	465
	466	:note: if Data1D was generated from Theory1D
	467	the fitting option is not allowed
	468
	469	"""
	470	self.plot_panel = plotpanel
	471	graph = plotpanel.graph
	472	fit_option = "Select data for fitting"
	473	fit_hint = "Dialog with fitting parameters "
	474
	475	if graph.selected_plottable not in plotpanel.plots:
	476	return []
	477	item = plotpanel.plots[graph.selected_plottable]
	478	if item.__class__.__name__ is "Data2D":
	479	if hasattr(item, "is_data"):
	480	if item.is_data:
	481	return [[fit_option, fit_hint, self._onSelect]]
	482	else:
	483	return []
	484	return [[fit_option, fit_hint, self._onSelect]]
	485	else:
	486
	487	# if is_data is true , this in an actual data loaded
	488	#else it is a data created from a theory model
	489	if hasattr(item, "is_data"):
	490	if item.is_data:
	491	return [[fit_option, fit_hint, self._onSelect]]
	492	else:
	493	return []
	494	return [[fit_option, fit_hint, self._onSelect]]
	495	return []
	496
	497	def get_panels(self, parent):
	498	"""
	499	Create and return a list of panel objects
	500	"""
	501	self.parent = parent
	502	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
	503	# Creation of the fit panel
	504	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
	505	self.fit_panel = FitPanel(parent=self.frame, manager=self)
	506	self.frame.set_panel(self.fit_panel)
	507	self._frame_set_helper()
	508	self.on_add_new_page(event=None)
	509	#Set the manager for the main panel
	510	self.fit_panel.set_manager(self)
	511	# List of windows used for the perspective
	512	self.perspective = []
	513	self.perspective.append(self.fit_panel.window_name)
	514
	515	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
	516	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
	517	self.perspective.append(self.result_panel.window_name)
	518
	519	#index number to create random model name
	520	self.index_model = 0
	521	self.index_theory = 0
	522	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
	523	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[05228b0]	524
[243fbc0]	525	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
[05228b0]	526	if EVT_FITTER_CHANGED is not None:
	527	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
	528	self._set_fitter_label(bumps.options.FIT_CONFIG)
	529
[f76bf17]	530	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
	531	#Create reader when fitting panel are created
	532	self.state_reader = Reader(self.set_state)
	533	#append that reader to list of available reader
	534	loader = Loader()
	535	loader.associate_file_reader(".fitv", self.state_reader)
	536	#Send the fitting panel to guiframe
	537	self.mypanels.append(self.fit_panel)
	538	self.mypanels.append(self.result_panel)
	539	return self.mypanels
	540
	541	def clear_panel(self):
	542	"""
	543	"""
	544	self.fit_panel.clear_panel()
	545
	546	def delete_data(self, data):
	547	"""
	548	delete the given data from panel
	549	"""
	550	self.fit_panel.delete_data(data)
	551
	552	def set_data(self, data_list=None):
	553	"""
	554	receive a list of data to fit
	555	"""
	556	if data_list is None:
	557	data_list = []
	558	selected_data_list = []
	559	if self.batch_on:
[098f3d2]	560	self.add_fit_page(data=data_list)
[f76bf17]	561	else:
	562	if len(data_list) > MAX_NBR_DATA:
	563	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	564	if dlg.ShowModal() == wx.ID_OK:
	565	selected_data_list = dlg.get_data()
	566	dlg.Destroy()
	567
	568	else:
	569	selected_data_list = data_list
	570	try:
	571	group_id = wx.NewId()
	572	for data in selected_data_list:
	573	if data is not None:
	574	# 2D has no same group_id
	575	if data.__class__.__name__ == 'Data2D':
	576	group_id = wx.NewId()
	577	data.group_id = group_id
	578	if group_id not in data.list_group_id:
	579	data.list_group_id.append(group_id)
[098f3d2]	580	self.add_fit_page(data=[data])
[f76bf17]	581	except:
[098f3d2]	582	msg = "Fitting set_data: " + str(sys.exc_value)
[f76bf17]	583	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	584
	585	def set_theory(self, theory_list=None):
	586	"""
	587	"""
	588	#set the model state for a given theory_state:
	589	for item in theory_list:
	590	try:
	591	_, theory_state = item
	592	self.fit_panel.set_model_state(theory_state)
[7673ecd]	593	except Exception:
[f76bf17]	594	msg = "Fitting: cannot deal with the theory received"
[934ce649]	595	evt = StatusEvent(status=msg, info="error")
[c155a16]	596	logger.error("set_theory " + msg + "\n" + str(sys.exc_value))
[934ce649]	597	wx.PostEvent(self.parent, evt)
[f76bf17]	598
	599	def set_state(self, state=None, datainfo=None, format=None):
	600	"""
	601	Call-back method for the fit page state reader.
	602	This method is called when a .fitv/.svs file is loaded.
	603
	604	: param state: PageState object
	605	: param datainfo: data
	606	"""
[e89aed5]	607	if isinstance(state, PageState):
[f76bf17]	608	state = state.clone()
	609	self.temp_state.append(state)
[e89aed5]	610	elif isinstance(state, SimFitPageState):
[00f7ff1]	611	if self.fit_panel.sim_page is None:
	612	self.fit_panel.add_sim_page()
	613	self.fit_panel.sim_page.load_from_save_state(state)
[f76bf17]	614	else:
	615	self.temp_state = []
	616	# index to start with for a new set_state
	617	self.state_index = 0
	618	# state file format
	619	self.sfile_ext = format
	620
	621	self.on_set_state_helper(event=None)
	622
	623	def on_set_state_helper(self, event=None):
	624	"""
	625	Set_state_helper. This actually sets state
	626	after plotting data from state file.
	627
	628	: event: FitStateUpdateEvent called
	629	by dataloader.plot_data from guiframe
	630	"""
	631	if len(self.temp_state) == 0:
	632	if self.state_index == 0 and len(self.mypanels) <= 0 \
	633	and self.sfile_ext == '.svs':
	634	self.temp_state = []
	635	self.state_index = 0
	636	return
	637
	638	try:
	639	# Load fitting state
	640	state = self.temp_state[self.state_index]
	641	#panel state should have model selection to set_state
[a534432]	642	if state.formfactorcombobox is not None:
[f76bf17]	643	#set state
	644	data = self.parent.create_gui_data(state.data)
	645	data.group_id = state.data.group_id
	646	self.parent.add_data(data_list={data.id: data})
	647	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	648	title=data.title))
	649	#need to be fix later make sure we are sendind guiframe.data
	650	#to panel
	651	state.data = data
	652	page = self.fit_panel.set_state(state)
	653	else:
	654	#just set data because set_state won't work
	655	data = self.parent.create_gui_data(state.data)
	656	data.group_id = state.data.group_id
	657	self.parent.add_data(data_list={data.id: data})
	658	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	659	title=data.title))
	660	page = self.add_fit_page([data])
	661	caption = page.window_caption
	662	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	663	caption=caption)
	664	self.mypanels.append(page)
	665
	666	# get ready for the next set_state
	667	self.state_index += 1
	668
	669	#reset state variables to default when all set_state is finished.
	670	if len(self.temp_state) == self.state_index:
	671
	672	self.temp_state = []
	673	#self.state_index = 0
	674	# Make sure the user sees the fitting panel after loading
	675	#self.parent.set_perspective(self.perspective)
	676	self.on_perspective(event=None)
	677	except:
	678	self.state_index = 0
	679	self.temp_state = []
	680	raise
	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)
	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	"""
	698	return self.page_finder[uid].get_graph_id()
	699
	700	def save_fit_state(self, filepath, fitstate):
	701	"""
	702	save fit page state into file
	703	"""
	704	self.state_reader.write(filename=filepath, fitstate=fitstate)
	705
	706	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
	707	"""
	708	Set the fit weights of a given page for all
	709	its data by default. If fid is provide then set the range
	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	"""
[098f3d2]	715	# If we are not dealing with a specific fit problem, then
	716	# there is no point setting the weights.
	717	if fid is None:
	718	return
[f76bf17]	719	if uid in self.page_finder.keys():
	720	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
	721
	722	def set_fit_range(self, uid, qmin, qmax, fid=None):
	723	"""
	724	Set the fitting range of a given page for all
	725	its data by default. If fid is provide then set the range
	726	only for the data with fid as id
	727	:param uid: id corresponding to a fit page
	728	:param fid: id corresponding to a fit problem (data, model)
	729	:param qmin: minimum value of the fit range
	730	:param qmax: maximum value of the fit range
	731	"""
	732	if uid in self.page_finder.keys():
	733	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	734
	735	def schedule_for_fit(self, value=0, uid=None):
	736	"""
	737	Set the fit problem field to 0 or 1 to schedule that problem to fit.
	738	Schedule the specified fitproblem or get the fit problem related to
	739	the current page and set value.
	740	:param value: integer 0 or 1
	741	:param uid: the id related to a page contaning fitting information
	742	"""
	743	if uid in self.page_finder.keys():
	744	self.page_finder[uid].schedule_tofit(value)
	745
	746	def get_page_finder(self):
	747	"""
	748	return self.page_finder used also by simfitpage.py
	749	"""
	750	return self.page_finder
	751
	752	def set_page_finder(self, modelname, names, values):
	753	"""
	754	Used by simfitpage.py to reset a parameter given the string constrainst.
	755
	756	:param modelname: the name ot the model for with the parameter
	757	has to reset
	758	:param value: can be a string in this case.
	759	:param names: the paramter name
	760	"""
	761	sim_page_id = self.sim_page.uid
	762	for uid, value in self.page_finder.iteritems():
	763	if uid != sim_page_id and uid != self.batch_page.uid:
[f21d496]	764	model_list = value.get_model()
	765	model = model_list[0]
[f76bf17]	766	if model.name == modelname:
	767	value.set_model_param(names, values)
	768	break
	769
	770	def split_string(self, item):
	771	"""
	772	receive a word containing dot and split it. used to split parameterset
	773	name into model name and parameter name example: ::
	774
	775	paramaterset (item) = M1.A
	776	Will return model_name = M1 , parameter name = A
	777
	778	"""
	779	if item.find(".") >= 0:
	780	param_names = re.split("\.", item)
	781	model_name = param_names[0]
	782	##Assume max len is 3; eg., M0.radius.width
	783	if len(param_names) == 3:
	784	param_name = param_names[1] + "." + param_names[2]
	785	else:
	786	param_name = param_names[1]
	787	return model_name, param_name
	788
	789	def on_bumps_options(self, event=None):
[9776c82]	790	"""
	791	Open the bumps options panel.
	792	"""
[05228b0]	793	show_fit_config(self.parent, help=self.on_help)
	794
	795	def on_fitter_changed(self, event):
	796	self._set_fitter_label(event.config)
	797
	798	def _set_fitter_label(self, config):
	799	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
	800	+ " - Active Fitting Optimizer: "
	801	+ config.selected_name)
[7945367]	802
	803	def on_help(self, algorithm_id):
[86b049b]	804	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
[7945367]	805	_anchor = "#fit-"+algorithm_id
[6f16e25]	806	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
[7945367]	807
[f76bf17]	808
[9776c82]	809	def on_fit_results(self, event=None):
	810	"""
	811	Make the Fit Results panel visible.
	812	"""
	813	self.result_frame.Show()
	814	self.result_frame.Raise()
	815
[73cbeec]	816	def on_gpu_options(self, event=None):
	817	"""
	818	Make the Fit Results panel visible.
	819	"""
	820	dialog = GpuOptions(None, wx.ID_ANY, "")
	821	dialog.Show()
	822
[f76bf17]	823	def stop_fit(self, uid):
	824	"""
[acf8e4a5]	825	Stop the fit
[f76bf17]	826	"""
	827	if uid in self.fit_thread_list.keys():
	828	calc_fit = self.fit_thread_list[uid]
	829	if calc_fit is not None and calc_fit.isrunning():
	830	calc_fit.stop()
	831	msg = "Fit stop!"
	832	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	833	del self.fit_thread_list[uid]
	834	#set the fit button label of page when fit stop is trigger from
	835	#simultaneous fit pane
	836	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	837	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	838	if sim_flag or batch_flag:
	839	for uid, value in self.page_finder.iteritems():
	840	if value.get_scheduled() == 1:
	841	if uid in self.fit_panel.opened_pages.keys():
	842	panel = self.fit_panel.opened_pages[uid]
	843	panel._on_fit_complete()
	844
	845	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	846	enable_smearer=False):
	847	"""
	848	Get a smear object and store it to a fit problem of fid as id. If proper
	849	flag is enable , will plot the theory with smearing information.
	850
	851	:param smearer: smear object to allow smearing data of id fid
	852	:param enable_smearer: Define whether or not all (data, model) contained
	853	in the structure of id uid will be smeared before fitting.
	854	:param qmin: the maximum value of the theory plotting range
	855	:param qmax: the maximum value of the theory plotting range
	856	:param draw: Determine if the theory needs to be plot
	857	"""
	858	if uid not in self.page_finder.keys():
	859	return
	860	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	861	self.page_finder[uid].set_smearer(smearer, fid=fid)
	862	if draw:
	863	## draw model 1D with smeared data
	864	data = self.page_finder[uid].get_fit_data(fid=fid)
	865	if data is None:
	866	msg = "set_mearer requires at least data.\n"
	867	msg += "Got data = %s .\n" % str(data)
	868	return
	869	#raise ValueError, msg
	870	model = self.page_finder[uid].get_model(fid=fid)
	871	if model is None:
	872	return
	873	enable1D = issubclass(data.__class__, Data1D)
	874	enable2D = issubclass(data.__class__, Data2D)
	875	## if user has already selected a model to plot
	876	## redraw the model with data smeared
	877	smear = self.page_finder[uid].get_smearer(fid=fid)
	878
	879	# compute weight for the current data
	880	weight = self.page_finder[uid].get_weight(fid=fid)
	881
	882	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
	883	enable1D=enable1D, enable2D=enable2D,
	884	qmin=qmin, qmax=qmax, weight=weight)
	885
	886	def draw_model(self, model, page_id, data=None, smearer=None,
	887	enable1D=True, enable2D=False,
	888	state=None,
	889	fid=None,
	890	toggle_mode_on=False,
	891	qmin=None, qmax=None,
	892	update_chisqr=True, weight=None, source='model'):
	893	"""
	894	Draw model.
	895
	896	:param model: the model to draw
	897	:param name: the name of the model to draw
	898	:param data: the data on which the model is based to be drawn
	899	:param description: model's description
	900	:param enable1D: if true enable drawing model 1D
	901	:param enable2D: if true enable drawing model 2D
	902	:param qmin: Range's minimum value to draw model
	903	:param qmax: Range's maximum value to draw model
	904	:param qstep: number of step to divide the x and y-axis
	905	:param update_chisqr: update chisqr [bool]
	906
	907	"""
	908	#self.weight = weight
	909	if issubclass(data.__class__, Data1D) or not enable2D:
	910	## draw model 1D with no loaded data
	911	self._draw_model1D(model=model,
	912	data=data,
	913	page_id=page_id,
	914	enable1D=enable1D,
	915	smearer=smearer,
	916	qmin=qmin,
	917	qmax=qmax,
	918	fid=fid,
	919	weight=weight,
	920	toggle_mode_on=toggle_mode_on,
	921	state=state,
	922	update_chisqr=update_chisqr,
	923	source=source)
	924	else:
	925	## draw model 2D with no initial data
	926	self._draw_model2D(model=model,
	927	page_id=page_id,
	928	data=data,
	929	enable2D=enable2D,
	930	smearer=smearer,
	931	qmin=qmin,
	932	qmax=qmax,
	933	fid=fid,
	934	weight=weight,
	935	state=state,
	936	toggle_mode_on=toggle_mode_on,
	937	update_chisqr=update_chisqr,
	938	source=source)
	939
	940	def onFit(self, uid):
	941	"""
	942	Get series of data, model, associates parameters and range and send then
[acf8e4a5]	943	to series of fitters. Fit data and model, display result to
[f76bf17]	944	corresponding panels.
	945	:param uid: id related to the panel currently calling this fit function.
	946	"""
	947	if uid is None: raise RuntimeError("no page to fit") # Should never happen
	948
	949	sim_page_uid = getattr(self.sim_page, 'uid', None)
	950	batch_page_uid = getattr(self.batch_page, 'uid', None)
	951
	952	if uid == sim_page_uid:
	953	fit_type = 'simultaneous'
	954	elif uid == batch_page_uid:
	955	fit_type = 'combined_batch'
	956	else:
	957	fit_type = 'single'
	958
	959	fitter_list = []
	960	sim_fitter = None
	961	if fit_type == 'simultaneous':
[acf8e4a5]	962	# for simultaneous fitting only one fitter is needed
	963	sim_fitter = Fit()
[f76bf17]	964	sim_fitter.fitter_id = self.sim_page.uid
	965	fitter_list.append(sim_fitter)
	966
	967	self.current_pg = None
	968	list_page_id = []
	969	fit_id = 0
	970	for page_id, page_info in self.page_finder.iteritems():
	971	# For simulfit (uid give with None), do for-loop
	972	# if uid is specified (singlefit), do it only on the page.
	973	if page_id in (sim_page_uid, batch_page_uid): continue
	974	if fit_type == "single" and page_id != uid: continue
	975
	976	try:
	977	if page_info.get_scheduled() == 1:
	978	page_info.nbr_residuals_computed = 0
	979	page = self.fit_panel.get_page_by_id(page_id)
	980	self.set_fit_weight(uid=page.uid,
	981	flag=page.get_weight_flag(),
	982	is2d=page._is_2D())
	983	if not page.param_toFit:
	984	msg = "No fitting parameters for %s" % page.window_caption
[934ce649]	985	evt = StatusEvent(status=msg, info="error", type="stop")
	986	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	987	return False
	988	if not page._update_paramv_on_fit():
	989	msg = "Fitting range or parameter values are"
	990	msg += " invalid in %s" % \
	991	page.window_caption
[934ce649]	992	evt = StatusEvent(status=msg, info="error", type="stop")
	993	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	994	return False
	995
	996	pars = [str(element[1]) for element in page.param_toFit]
	997	fitproblem_list = page_info.values()
	998	for fitproblem in fitproblem_list:
	999	if sim_fitter is None:
[acf8e4a5]	1000	fitter = Fit()
[f76bf17]	1001	fitter.fitter_id = page_id
	1002	fitter_list.append(fitter)
	1003	else:
	1004	fitter = sim_fitter
	1005	self._add_problem_to_fit(fitproblem=fitproblem,
	1006	pars=pars,
	1007	fitter=fitter,
	1008	fit_id=fit_id)
	1009	fit_id += 1
	1010	list_page_id.append(page_id)
	1011	page_info.clear_model_param()
	1012	except KeyboardInterrupt:
	1013	msg = "Fitting terminated"
[934ce649]	1014	evt = StatusEvent(status=msg, info="info", type="stop")
	1015	wx.PostEvent(self.parent, evt)
[f76bf17]	1016	return True
	1017	except:
[a3f125f0]	1018	raise
[f76bf17]	1019	msg = "Fitting error: %s" % str(sys.exc_value)
[934ce649]	1020	evt = StatusEvent(status=msg, info="error", type="stop")
	1021	wx.PostEvent(self.parent, evt)
[f76bf17]	1022	return False
	1023	## If a thread is already started, stop it
[a534432]	1024	#if self.calc_fitis not None and self.calc_fit.isrunning():
[f76bf17]	1025	# self.calc_fit.stop()
	1026	msg = "Fitting is in progress..."
	1027	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1028
[acf8e4a5]	1029	#Handler used to display fit message
[f76bf17]	1030	handler = ConsoleUpdate(parent=self.parent,
	1031	manager=self,
	1032	improvement_delta=0.1)
	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
[a534432]	1114	if page is not 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
[a534432]	1133	if page is None:
[f76bf17]	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
[a534432]	1201	if uid is None:
[f76bf17]	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
[a534432]	1224	if item[0] is not None and item[1] is not None:
[f76bf17]	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
[a534432]	1239	if panel is None:
[f76bf17]	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	"""
[a534432]	1261	print("update_fit result", result)
[f76bf17]	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	uid = page_id[0]
	1273	if uid in self.fit_thread_list.keys():
	1274	del self.fit_thread_list[uid]
	1275
[373d4ee]	1276	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1277	t1 = time.time()
	1278	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1279	msg = "Fit completed on %s \n" % str_time
	1280	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1281	evt = StatusEvent(status=msg, info="info", type="stop")
	1282	wx.PostEvent(self.parent, evt)
[f76bf17]	1283
	1284	if batch_outputs is None:
	1285	batch_outputs = {}
	1286
	1287	# format batch_outputs
	1288	batch_outputs["Chi2"] = []
	1289	#Don't like these loops
	1290	# Need to create dictionary of all fitted parameters
	1291	# since the number of parameters can differ between each fit result
	1292	for list_res in result:
	1293	for res in list_res:
	1294	model, data = res.inputs[0]
	1295	if model is not None and hasattr(model, "model"):
	1296	model = model.model
	1297	#get all fittable parameters of the current model
	1298	for param in model.getParamList():
	1299	if param not in batch_outputs.keys():
	1300	batch_outputs[param] = []
	1301	for param in model.getDispParamList():
	1302	if not model.is_fittable(param) and \
	1303	param in batch_outputs.keys():
	1304	del batch_outputs[param]
	1305	# Add fitted parameters and their error
	1306	for param in res.param_list:
	1307	if param not in batch_outputs.keys():
	1308	batch_outputs[param] = []
	1309	err_param = "error on %s" % str(param)
	1310	if err_param not in batch_inputs.keys():
	1311	batch_inputs[err_param] = []
	1312	msg = ""
	1313	for list_res in result:
	1314	for res in list_res:
	1315	pid = res.fitter_id
	1316	model, data = res.inputs[0]
	1317	correct_result = False
	1318	if model is not None and hasattr(model, "model"):
	1319	model = model.model
	1320	if data is not None and hasattr(data, "sas_data"):
	1321	data = data.sas_data
	1322
	1323	is_data2d = issubclass(data.__class__, Data2D)
	1324	#check consistency of arrays
	1325	if not is_data2d:
	1326	if len(res.theory) == len(res.index[res.index]) and \
	1327	len(res.index) == len(data.y):
	1328	correct_result = True
	1329	else:
	1330	copy_data = deepcopy(data)
	1331	new_theory = copy_data.data
	1332	new_theory[res.index] = res.theory
[9a5097c]	1333	new_theory[res.index == False] = np.nan
[f76bf17]	1334	correct_result = True
	1335	#get all fittable parameters of the current model
	1336	param_list = model.getParamList()
	1337	for param in model.getDispParamList():
	1338	if not model.is_fittable(param) and \
	1339	param in param_list:
	1340	param_list.remove(param)
	1341	if not correct_result or res.fitness is None or \
[9a5097c]	1342	not np.isfinite(res.fitness) or \
[a534432]	1343	np.any(res.pvec is None) or not \
[9a5097c]	1344	np.all(np.isfinite(res.pvec)):
[f76bf17]	1345	data_name = str(None)
	1346	if data is not None:
	1347	data_name = str(data.name)
	1348	model_name = str(None)
	1349	if model is not None:
	1350	model_name = str(model.name)
	1351	msg += "Data %s and Model %s did not fit.\n" % (data_name,
	1352	model_name)
[9a5097c]	1353	ERROR = np.NAN
[f76bf17]	1354	cell = BatchCell()
	1355	cell.label = res.fitness
	1356	cell.value = res.fitness
	1357	batch_outputs["Chi2"].append(ERROR)
	1358	for param in param_list:
	1359	# save value of fixed parameters
	1360	if param not in res.param_list:
	1361	batch_outputs[str(param)].append(ERROR)
	1362	else:
	1363	#save only fitted values
	1364	batch_outputs[param].append(ERROR)
	1365	batch_inputs["error on %s" % str(param)].append(ERROR)
	1366	else:
[9a5097c]	1367	# TODO: Why sometimes res.pvec comes with np.float64?
[acf8e4a5]	1368	# probably from scipy lmfit
[9a5097c]	1369	if res.pvec.__class__ == np.float64:
[f76bf17]	1370	res.pvec = [res.pvec]
	1371
	1372	cell = BatchCell()
	1373	cell.label = res.fitness
	1374	cell.value = res.fitness
	1375	batch_outputs["Chi2"].append(cell)
	1376	# add parameters to batch_results
	1377	for param in param_list:
	1378	# save value of fixed parameters
	1379	if param not in res.param_list:
	1380	batch_outputs[str(param)].append(model.getParam(param))
	1381	else:
	1382	index = res.param_list.index(param)
	1383	#save only fitted values
	1384	batch_outputs[param].append(res.pvec[index])
	1385	if res.stderr is not None and \
	1386	len(res.stderr) == len(res.param_list):
	1387	item = res.stderr[index]
	1388	batch_inputs["error on %s" % param].append(item)
	1389	else:
	1390	batch_inputs["error on %s" % param].append('-')
	1391	model.setParam(param, res.pvec[index])
	1392	#fill the batch result with emtpy value if not in the current
	1393	#model
	1394	EMPTY = "-"
	1395	for key in batch_outputs.keys():
	1396	if key not in param_list and key not in ["Chi2", "Data"]:
	1397	batch_outputs[key].append(EMPTY)
	1398
	1399	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
	1400	batch_outputs=batch_outputs)
	1401
	1402	cpage = self.fit_panel.get_page_by_id(pid)
	1403	cpage._on_fit_complete()
	1404	self.page_finder[pid][data.id].set_result(res)
	1405	fitproblem = self.page_finder[pid][data.id]
	1406	qmin, qmax = fitproblem.get_range()
	1407	plot_result = False
	1408	if correct_result:
	1409	if not is_data2d:
	1410	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
	1411	elapsed=None,
	1412	index=res.index, model=model,
	1413	weight=None, fid=data.id,
	1414	toggle_mode_on=False, state=None,
	1415	data=data, update_chisqr=False,
	1416	source='fit', plot_result=plot_result)
	1417	else:
	1418	self._complete2D(image=new_theory, data=data,
	1419	model=model,
	1420	page_id=pid, elapsed=None,
	1421	index=res.index,
	1422	qmin=qmin,
	1423	qmax=qmax, fid=data.id, weight=None,
	1424	toggle_mode_on=False, state=None,
	1425	update_chisqr=False,
	1426	source='fit', plot_result=plot_result)
	1427	self.on_set_batch_result(page_id=pid,
	1428	fid=data.id,
	1429	batch_outputs=batch_outputs,
	1430	batch_inputs=batch_inputs)
	1431
[934ce649]	1432	evt = StatusEvent(status=msg, error="info", type="stop")
	1433	wx.PostEvent(self.parent, evt)
[f76bf17]	1434	# Remove parameters that are not shown
	1435	cpage = self.fit_panel.get_page_by_id(uid)
	1436	tbatch_outputs = {}
	1437	shownkeystr = cpage.get_copy_params()
	1438	for key in batch_outputs.keys():
	1439	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
	1440	tbatch_outputs[key] = batch_outputs[key]
	1441
	1442	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1443	batch_inputs, self.sub_menu)
	1444
	1445	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1446	"""
	1447	"""
	1448	pid = page_id
	1449	if fid not in self.page_finder[pid]:
	1450	return
	1451	fitproblem = self.page_finder[pid][fid]
	1452	index = self.page_finder[pid].nbr_residuals_computed - 1
	1453	residuals = fitproblem.get_residuals()
	1454	theory_data = fitproblem.get_theory_data()
	1455	data = fitproblem.get_fit_data()
	1456	model = fitproblem.get_model()
	1457	#fill batch result information
	1458	if "Data" not in batch_outputs.keys():
	1459	batch_outputs["Data"] = []
	1460	cell = BatchCell()
	1461	cell.label = data.name
	1462	cell.value = index
	1463
[a534432]	1464	if theory_data is not None:
[f76bf17]	1465	#Suucessful fit
	1466	theory_data.id = wx.NewId()
	1467	theory_data.name = model.name + "[%s]" % str(data.name)
	1468	if issubclass(theory_data.__class__, Data2D):
	1469	group_id = wx.NewId()
	1470	theory_data.group_id = group_id
	1471	if group_id not in theory_data.list_group_id:
	1472	theory_data.list_group_id.append(group_id)
	1473
	1474	try:
	1475	# associate residuals plot
	1476	if issubclass(residuals.__class__, Data2D):
	1477	group_id = wx.NewId()
	1478	residuals.group_id = group_id
	1479	if group_id not in residuals.list_group_id:
	1480	residuals.list_group_id.append(group_id)
	1481	batch_outputs["Chi2"][index].object = [residuals]
	1482	except:
	1483	pass
	1484
	1485	cell.object = [data, theory_data]
	1486	batch_outputs["Data"].append(cell)
	1487	for key, value in data.meta_data.iteritems():
	1488	if key not in batch_inputs.keys():
	1489	batch_inputs[key] = []
	1490	#if key.lower().strip() != "loader":
	1491	batch_inputs[key].append(value)
	1492	param = "temperature"
	1493	if hasattr(data.sample, param):
	1494	if param not in batch_inputs.keys():
	1495	batch_inputs[param] = []
	1496	batch_inputs[param].append(data.sample.temperature)
	1497
	1498	def _fit_completed(self, result, page_id, batch_outputs,
	1499	batch_inputs=None, pars=None, elapsed=None):
	1500	"""
	1501	Display result of the fit on related panel(s).
	1502	:param result: list of object generated when fit ends
	1503	:param pars: list of names of parameters fitted
	1504	:param page_id: list of page ids which called fit function
	1505	:param elapsed: time spent at the fitting level
	1506	"""
	1507	t1 = time.time()
	1508	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1509	msg = "Fit completed on %s \n" % str_time
	1510	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1511	evt = StatusEvent(status=msg, info="info", type="stop")
	1512	wx.PostEvent(self.parent, evt)
[f76bf17]	1513	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
[373d4ee]	1514	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1515	result = result[0]
	1516	self.fit_thread_list = {}
	1517	if page_id is None:
	1518	page_id = []
	1519	## fit more than 1 model at the same time
	1520	try:
	1521	index = 0
[aac161f1]	1522	# Update potential simfit page(s)
	1523	if self.sim_page is not None:
	1524	self.sim_page._on_fit_complete()
	1525	if self.batch_page:
	1526	self.batch_page._on_fit_complete()
	1527	# Update all fit pages
[f76bf17]	1528	for uid in page_id:
	1529	res = result[index]
[1a5d5f2]	1530	fit_msg = res.mesg
[f76bf17]	1531	if res.fitness is None or \
[9a5097c]	1532	not np.isfinite(res.fitness) or \
[a534432]	1533	np.any(res.pvec is None) or \
[9a5097c]	1534	not np.all(np.isfinite(res.pvec)):
[1a5d5f2]	1535	fit_msg += "\nFitting did not converge!!!"
[373d4ee]	1536	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1537	else:
	1538	#set the panel when fit result are float not list
[9a5097c]	1539	if res.pvec.__class__ == np.float64:
[f76bf17]	1540	pvec = [res.pvec]
	1541	else:
	1542	pvec = res.pvec
[9a5097c]	1543	if res.stderr.__class__ == np.float64:
[f76bf17]	1544	stderr = [res.stderr]
	1545	else:
	1546	stderr = res.stderr
	1547	cpage = self.fit_panel.get_page_by_id(uid)
	1548	# Make sure we got all results
	1549	#(CallAfter is important to MAC)
	1550	try:
[a534432]	1551	#if res is not None:
[f76bf17]	1552	wx.CallAfter(cpage.onsetValues, res.fitness,
	1553	res.param_list,
	1554	pvec, stderr)
	1555	index += 1
	1556	wx.CallAfter(cpage._on_fit_complete)
	1557	except KeyboardInterrupt:
[1a5d5f2]	1558	fit_msg += "\nSingular point: Fitting stopped."
[f76bf17]	1559	except:
[1a5d5f2]	1560	fit_msg += "\nSingular point: Fitting error occurred."
	1561	if fit_msg:
	1562	evt = StatusEvent(status=fit_msg, info="warning", type="stop")
	1563	wx.PostEvent(self.parent, evt)
[f76bf17]	1564
	1565	except:
[e1442d4]	1566	msg = ("Fit completed but the following error occurred: %s"
	1567	% sys.exc_value)
[00f7ff1]	1568	#msg = "\n".join((traceback.format_exc(), msg))
[934ce649]	1569	evt = StatusEvent(status=msg, info="warning", type="stop")
	1570	wx.PostEvent(self.parent, evt)
[f76bf17]	1571
	1572	def _update_fit_button(self, page_id):
	1573	"""
	1574	Update Fit button when fit stopped
	1575
	1576	: parameter page_id: fitpage where the button is
	1577	"""
	1578	if page_id.__class__.__name__ != 'list':
	1579	page_id = [page_id]
	1580	for uid in page_id:
	1581	page = self.fit_panel.get_page_by_id(uid)
	1582	page._on_fit_complete()
	1583
	1584	def _on_show_panel(self, event):
	1585	"""
	1586	"""
	1587	pass
	1588
	1589	def on_reset_batch_flag(self, event):
	1590	"""
	1591	Set batch_reset_flag
	1592	"""
	1593	event.Skip()
[a534432]	1594	if self.menu1 is None:
[f76bf17]	1595	return
	1596	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1597	flag = menu_item.IsChecked()
	1598	if not flag:
	1599	menu_item.Check(False)
	1600	self.batch_reset_flag = True
	1601	else:
	1602	menu_item.Check(True)
	1603	self.batch_reset_flag = False
	1604
	1605	## post a message to status bar
	1606	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
[934ce649]	1607	wx.PostEvent(self.parent, StatusEvent(status=msg))
[f76bf17]	1608
	1609
	1610	def _on_slicer_event(self, event):
	1611	"""
	1612	Receive a panel as event and send it to guiframe
	1613
	1614	:param event: event containing a panel
	1615
	1616	"""
	1617	if event.panel is not None:
	1618	self.slicer_panels.append(event.panel)
	1619	# Set group ID if available
	1620	event_id = self.parent.popup_panel(event.panel)
	1621	event.panel.uid = event_id
	1622	self.mypanels.append(event.panel)
	1623
	1624	def _onclearslicer(self, event):
	1625	"""
	1626	Clear the boxslicer when close the panel associate with this slicer
	1627	"""
	1628	name = event.GetEventObject().frame.GetTitle()
	1629	for panel in self.slicer_panels:
	1630	if panel.window_caption == name:
	1631
	1632	for item in self.parent.panels:
	1633	if hasattr(self.parent.panels[item], "uid"):
	1634	if self.parent.panels[item].uid == panel.base.uid:
	1635	self.parent.panels[item].onClearSlicer(event)
	1636	#self.parent._mgr.Update()
	1637	break
	1638	break
	1639
	1640	def _on_model_panel(self, evt):
	1641	"""
	1642	react to model selection on any combo box or model menu.plot the model
	1643
	1644	:param evt: wx.combobox event
	1645
	1646	"""
	1647	model = evt.model
	1648	uid = evt.uid
	1649	qmin = evt.qmin
	1650	qmax = evt.qmax
	1651	caption = evt.caption
	1652	enable_smearer = evt.enable_smearer
[a534432]	1653	if model is None:
[f76bf17]	1654	return
	1655	if uid not in self.page_finder.keys():
	1656	return
	1657	# save the name containing the data name with the appropriate model
	1658	self.page_finder[uid].set_model(model)
	1659	self.page_finder[uid].enable_smearing(enable_smearer)
	1660	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
	1661	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1662	if self.sim_page is not None and not self.batch_on:
	1663	self.sim_page.draw_page()
	1664	if self.batch_page is not None and self.batch_on:
	1665	self.batch_page.draw_page()
	1666
	1667	def _update1D(self, x, output):
	1668	"""
	1669	Update the output of plotting model 1D
	1670	"""
	1671	msg = "Plot updating ... "
	1672	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
	1673
[c807957]	1674	def create_theory_1D(self, x, y, page_id, model, data, state,
[804fefa]	1675	data_description, data_id, dy=None):
[c807957]	1676	"""
	1677	Create a theory object associate with an existing Data1D
	1678	and add it to the data manager.
	1679	@param x: x-values of the data
	1680	@param y: y_values of the data
	1681	@param page_id: fit page ID
	1682	@param model: model used for fitting
	1683	@param data: Data1D object to create the theory for
	1684	@param state: model state
	1685	@param data_description: title to use in the data manager
	1686	@param data_id: unique data ID
	1687	"""
	1688	new_plot = Data1D(x=x, y=y)
[6a0c75d1]	1689	if dy is None:
	1690	new_plot.is_data = False
[9a5097c]	1691	new_plot.dy = np.zeros(len(y))
[6a0c75d1]	1692	# If this is a theory curve, pick the proper symbol to make it a curve
	1693	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	1694	else:
	1695	new_plot.is_data = True
	1696	new_plot.dy = dy
[804fefa]	1697	new_plot.interactive = True
	1698	new_plot.dx = None
	1699	new_plot.dxl = None
	1700	new_plot.dxw = None
[c807957]	1701	_yaxis, _yunit = data.get_yaxis()
	1702	_xaxis, _xunit = data.get_xaxis()
	1703	new_plot.title = data.name
	1704	new_plot.group_id = data.group_id
[a534432]	1705	if new_plot.group_id is None:
[c807957]	1706	new_plot.group_id = data.group_id
	1707	new_plot.id = data_id
	1708	# Find if this theory was already plotted and replace that plot given
	1709	# the same id
	1710	self.page_finder[page_id].get_theory_data(fid=data.id)
	1711
	1712	if data.is_data:
	1713	data_name = str(data.name)
	1714	else:
	1715	data_name = str(model.__class__.__name__)
	1716
	1717	new_plot.name = data_description + " [" + data_name + "]"
	1718	new_plot.xaxis(_xaxis, _xunit)
	1719	new_plot.yaxis(_yaxis, _yunit)
	1720	self.page_finder[page_id].set_theory_data(data=new_plot,
	1721	fid=data.id)
	1722	self.parent.update_theory(data_id=data.id, theory=new_plot,
	1723	state=state)
	1724	return new_plot
	1725
[f76bf17]	1726	def _complete1D(self, x, y, page_id, elapsed, index, model,
	1727	weight=None, fid=None,
	1728	toggle_mode_on=False, state=None,
	1729	data=None, update_chisqr=True,
[804fefa]	1730	source='model', plot_result=True,
	1731	unsmeared_model=None, unsmeared_data=None,
[ca4d985]	1732	unsmeared_error=None, sq_model=None, pq_model=None):
[f76bf17]	1733	"""
[c807957]	1734	Complete plotting 1D data
	1735	@param unsmeared_model: fit model, without smearing
[804fefa]	1736	@param unsmeared_data: data, rescaled to unsmeared model
[edbe974]	1737	@param unsmeared_error: data error, rescaled to unsmeared model
[f76bf17]	1738	"""
[2a0f33f]	1739
	1740	number_finite = np.count_nonzero(np.isfinite(y))
[a534432]	1741	np.nan_to_num(y)
	1742	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
	1743	data_description=model.name,
	1744	data_id=str(page_id) + " " + data.name)
	1745	if unsmeared_model is not None:
	1746	self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
	1747	data_description=model.name + " unsmeared",
	1748	data_id=str(page_id) + " " + data.name + " unsmeared")
	1749
	1750	if unsmeared_data is not None and unsmeared_error is not None:
	1751	self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
	1752	data_description="Data unsmeared",
	1753	data_id="Data " + data.name + " unsmeared",
	1754	dy=unsmeared_error)
	1755	# Comment this out until we can get P*S models with correctly populated parameters
	1756	#if sq_model is not None and pq_model is not None:
	1757	# self.create_theory_1D(x, sq_model, page_id, model, data, state,
	1758	# data_description=model.name + " S(q)",
	1759	# data_id=str(page_id) + " " + data.name + " S(q)")
	1760	# self.create_theory_1D(x, pq_model, page_id, model, data, state,
	1761	# data_description=model.name + " P(q)",
	1762	# data_id=str(page_id) + " " + data.name + " P(q)")
	1763
	1764	current_pg = self.fit_panel.get_page_by_id(page_id)
	1765	title = new_plot.title
	1766	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1767	if not batch_on:
	1768	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=str(title)))
	1769	elif plot_result:
	1770	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1771	if data.id == top_data_id:
	1772	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=str(title)))
	1773	caption = current_pg.window_caption
	1774	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
	1775
	1776	self.page_finder[page_id].set_theory_data(data=new_plot,
[f76bf17]	1777	fid=data.id)
[a534432]	1778	if toggle_mode_on:
	1779	wx.PostEvent(self.parent,
	1780	NewPlotEvent(group_id=str(page_id) + " Model2D",
[f76bf17]	1781	action="Hide"))
[a534432]	1782	else:
	1783	if update_chisqr:
	1784	wx.PostEvent(current_pg,
	1785	Chi2UpdateEvent(output=self._cal_chisqr(
[f76bf17]	1786	data=data,
	1787	fid=fid,
	1788	weight=weight,
[a534432]	1789	page_id=page_id,
	1790	index=index)))
	1791	else:
	1792	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1793	index=index, weight=weight)
[f76bf17]	1794
[a534432]	1795	if not number_finite:
	1796	logger.error("Using the present parameters the model does not return any finite value. ")
	1797	msg = "Computing Error: Model did not return any finite value."
	1798	wx.PostEvent(self.parent, StatusEvent(status = msg, info="error"))
[2a0f33f]	1799	else:
[a534432]	1800	msg = "Computation completed!"
[82373f5]	1801	if number_finite != y.size:
[5f768c2]	1802	msg += ' PROBLEM: For some Q values the model returns non finite intensities!'
	1803	logger.error("For some Q values the model returns non finite intensities.")
[f76bf17]	1804	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1805
[934ce649]	1806	def _calc_exception(self, etype, value, tb):
	1807	"""
	1808	Handle exception from calculator by posting it as an error.
	1809	"""
[c155a16]	1810	logger.error("".join(traceback.format_exception(etype, value, tb)))
[934ce649]	1811	msg = traceback.format_exception(etype, value, tb, limit=1)
	1812	evt = StatusEvent(status="".join(msg), type="stop", info="error")
	1813	wx.PostEvent(self.parent, evt)
	1814
[f76bf17]	1815	def _update2D(self, output, time=None):
	1816	"""
	1817	Update the output of plotting model
	1818	"""
[934ce649]	1819	msg = "Plot updating ... "
	1820	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
[f76bf17]	1821
	1822	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1823	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
	1824	update_chisqr=True, source='model', plot_result=True):
	1825	"""
	1826	Complete get the result of modelthread and create model 2D
	1827	that can be plot.
	1828	"""
[2a0f33f]	1829	number_finite = np.count_nonzero(np.isfinite(image))
[9a5097c]	1830	np.nan_to_num(image)
[f76bf17]	1831	new_plot = Data2D(image=image, err_image=data.err_data)
	1832	new_plot.name = model.name + '2d'
	1833	new_plot.title = "Analytical model 2D "
	1834	new_plot.id = str(page_id) + " " + data.name
	1835	new_plot.group_id = str(page_id) + " Model2D"
	1836	new_plot.detector = data.detector
	1837	new_plot.source = data.source
	1838	new_plot.is_data = False
	1839	new_plot.qx_data = data.qx_data
	1840	new_plot.qy_data = data.qy_data
	1841	new_plot.q_data = data.q_data
	1842	new_plot.mask = data.mask
	1843	## plot boundaries
	1844	new_plot.ymin = data.ymin
	1845	new_plot.ymax = data.ymax
	1846	new_plot.xmin = data.xmin
	1847	new_plot.xmax = data.xmax
	1848	title = data.title
	1849
	1850	new_plot.is_data = False
	1851	if data.is_data:
	1852	data_name = str(data.name)
	1853	else:
	1854	data_name = str(model.__class__.__name__) + '2d'
	1855
	1856	if len(title) > 1:
	1857	new_plot.title = "Model2D for %s " % model.name + data_name
	1858	new_plot.name = model.name + " [" + \
	1859	data_name + "]"
	1860	theory_data = deepcopy(new_plot)
	1861
	1862	self.page_finder[page_id].set_theory_data(data=theory_data,
	1863	fid=data.id)
	1864	self.parent.update_theory(data_id=data.id,
	1865	theory=new_plot,
	1866	state=state)
	1867	current_pg = self.fit_panel.get_page_by_id(page_id)
	1868	title = new_plot.title
	1869	if not source == 'fit' and plot_result:
	1870	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1871	title=title))
	1872	if toggle_mode_on:
	1873	wx.PostEvent(self.parent,
	1874	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1875	action="Hide"))
	1876	else:
	1877	# Chisqr in fitpage
	1878	if update_chisqr:
	1879	wx.PostEvent(current_pg,
	1880	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
	1881	weight=weight,
	1882	fid=fid,
	1883	page_id=page_id,
	1884	index=index)))
	1885	else:
	1886	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1887	index=index, weight=weight)
[a534432]	1888
	1889	if not number_finite:
	1890	logger.error("Using the present parameters the model does not return any finite value. ")
	1891	msg = "Computing Error: Model did not return any finite value."
	1892	wx.PostEvent(self.parent, StatusEvent(status = msg, info="error"))
	1893	else:
	1894	msg = "Computation completed!"
	1895	if number_finite != image.size:
	1896	msg += ' PROBLEM: For some Qx,Qy values the model returns non finite intensities!'
	1897	logger.error("For some Qx,Qy values the model returns non finite intensities.")
	1898	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[f76bf17]	1899
	1900	def _draw_model2D(self, model, page_id, qmin,
	1901	qmax,
	1902	data=None, smearer=None,
	1903	description=None, enable2D=False,
	1904	state=None,
	1905	fid=None,
	1906	weight=None,
	1907	toggle_mode_on=False,
	1908	update_chisqr=True, source='model'):
	1909	"""
	1910	draw model in 2D
	1911
	1912	:param model: instance of the model to draw
	1913	:param description: the description of the model
	1914	:param enable2D: when True allows to draw model 2D
	1915	:param qmin: the minimum value to draw model 2D
	1916	:param qmax: the maximum value to draw model 2D
	1917	:param qstep: the number of division of Qx and Qy of the model to draw
	1918
	1919	"""
	1920	if not enable2D:
	1921	return None
	1922	try:
	1923	## If a thread is already started, stop it
	1924	if (self.calc_2D is not None) and self.calc_2D.isrunning():
	1925	self.calc_2D.stop()
	1926	## stop just raises a flag to tell the thread to kill
	1927	## itself -- see the fix in Calc1D implemented to fix
	1928	## an actual problem. Seems the fix should also go here
	1929	## and may be the cause of other noted instabilities
	1930	##
[2a0f33f]	1931	## -PDB August 12, 2014
[f76bf17]	1932	while self.calc_2D.isrunning():
	1933	time.sleep(0.1)
	1934	self.calc_2D = Calc2D(model=model,
[934ce649]	1935	data=data,
	1936	page_id=page_id,
	1937	smearer=smearer,
	1938	qmin=qmin,
	1939	qmax=qmax,
	1940	weight=weight,
	1941	fid=fid,
	1942	toggle_mode_on=toggle_mode_on,
	1943	state=state,
	1944	completefn=self._complete2D,
	1945	update_chisqr=update_chisqr,
	1946	exception_handler=self._calc_exception,
	1947	source=source)
[f76bf17]	1948	self.calc_2D.queue()
	1949	except:
	1950	raise
	1951
	1952	def _draw_model1D(self, model, page_id, data,
	1953	qmin, qmax, smearer=None,
	1954	state=None,
	1955	weight=None,
	1956	fid=None,
	1957	toggle_mode_on=False, update_chisqr=True, source='model',
	1958	enable1D=True):
	1959	"""
	1960	Draw model 1D from loaded data1D
	1961
	1962	:param data: loaded data
	1963	:param model: the model to plot
	1964
	1965	"""
	1966	if not enable1D:
	1967	return
	1968	try:
	1969	## If a thread is already started, stop it
	1970	if (self.calc_1D is not None) and self.calc_1D.isrunning():
	1971	self.calc_1D.stop()
[2a0f33f]	1972	## stop just raises the flag -- the thread is supposed to
[f76bf17]	1973	## then kill itself but cannot. Paul Kienzle came up with
	1974	## this fix to prevent threads from stepping on each other
[ddbac66]	1975	## which was causing a simple custom plugin model to crash
	1976	##Sasview.
[f76bf17]	1977	## We still don't know why the fit sometimes lauched a second
	1978	## thread -- something which should also be investigated.
	1979	## The thread approach was implemented in order to be able
	1980	## to lauch a computation in a separate thread from the GUI so
	1981	## that the GUI can still respond to user input including
	1982	## a request to stop the computation.
	1983	## It seems thus that the whole thread approach used here
[2a0f33f]	1984	## May need rethinking
[f76bf17]	1985	##
[d99f008]	1986	## -PDB August 12, 2014
[f76bf17]	1987	while self.calc_1D.isrunning():
	1988	time.sleep(0.1)
	1989	self.calc_1D = Calc1D(data=data,
	1990	model=model,
	1991	page_id=page_id,
	1992	qmin=qmin,
	1993	qmax=qmax,
	1994	smearer=smearer,
	1995	state=state,
	1996	weight=weight,
	1997	fid=fid,
	1998	toggle_mode_on=toggle_mode_on,
	1999	completefn=self._complete1D,
	2000	#updatefn = self._update1D,
	2001	update_chisqr=update_chisqr,
[934ce649]	2002	exception_handler=self._calc_exception,
[f76bf17]	2003	source=source)
	2004	self.calc_1D.queue()
	2005	except:
	2006	msg = " Error occurred when drawing %s Model 1D: " % model.name
	2007	msg += " %s" % sys.exc_value
	2008	wx.PostEvent(self.parent, StatusEvent(status=msg))
	2009
	2010	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
	2011	"""
	2012	Get handy Chisqr using the output from draw1D and 2D,
	2013	instead of calling expansive CalcChisqr in guithread
	2014	"""
	2015	try:
	2016	data_copy = deepcopy(data)
	2017	except:
	2018	return
	2019	# default chisqr
	2020	chisqr = None
	2021	#to compute chisq make sure data has valid data
[a534432]	2022	# return None if data is None
	2023	if not check_data_validity(data_copy) or data_copy is None:
[f76bf17]	2024	return chisqr
	2025
	2026	# Get data: data I, theory I, and data dI in order
	2027	if data_copy.__class__.__name__ == "Data2D":
[a534432]	2028	if index is None:
[9a5097c]	2029	index = np.ones(len(data_copy.data), dtype=bool)
[a534432]	2030	if weight is not None:
[f76bf17]	2031	data_copy.err_data = weight
	2032	# get rid of zero error points
	2033	index = index & (data_copy.err_data != 0)
[9a5097c]	2034	index = index & (np.isfinite(data_copy.data))
[f76bf17]	2035	fn = data_copy.data[index]
	2036	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[a534432]	2037	if theory_data is None:
[f76bf17]	2038	return chisqr
	2039	gn = theory_data.data[index]
	2040	en = data_copy.err_data[index]
	2041	else:
	2042	# 1 d theory from model_thread is only in the range of index
[a534432]	2043	if index is None:
[9a5097c]	2044	index = np.ones(len(data_copy.y), dtype=bool)
[a534432]	2045	if weight is not None:
[f76bf17]	2046	data_copy.dy = weight
[a534432]	2047	if data_copy.dy is None or data_copy.dy == []:
[9a5097c]	2048	dy = np.ones(len(data_copy.y))
[f76bf17]	2049	else:
[acf8e4a5]	2050	## Set consistently w/AbstractFitengine:
[f76bf17]	2051	# But this should be corrected later.
	2052	dy = deepcopy(data_copy.dy)
	2053	dy[dy == 0] = 1
	2054	fn = data_copy.y[index]
	2055
	2056	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[a534432]	2057	if theory_data is None:
[f76bf17]	2058	return chisqr
	2059	gn = theory_data.y
	2060	en = dy[index]
	2061
	2062	# residual
	2063	try:
	2064	res = (fn - gn) / en
	2065	except ValueError:
[a534432]	2066	print("Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en)))
[f76bf17]	2067	return
	2068
[9a5097c]	2069	residuals = res[np.isfinite(res)]
[f76bf17]	2070	# get chisqr only w/finite
[9a5097c]	2071	chisqr = np.average(residuals * residuals)
[f76bf17]	2072
	2073	self._plot_residuals(page_id=page_id, data=data_copy,
	2074	fid=fid,
	2075	weight=weight, index=index)
	2076
	2077	return chisqr
	2078
	2079	def _plot_residuals(self, page_id, weight, fid=None,
	2080	data=None, index=None):
	2081	"""
	2082	Plot the residuals
	2083
	2084	:param data: data
	2085	:param index: index array (bool)
	2086	: Note: this is different from the residuals in cal_chisqr()
	2087	"""
	2088	data_copy = deepcopy(data)
	2089	# Get data: data I, theory I, and data dI in order
	2090	if data_copy.__class__.__name__ == "Data2D":
	2091	# build residuals
	2092	residuals = Data2D()
	2093	#residuals.copy_from_datainfo(data)
	2094	# Not for trunk the line below, instead use the line above
	2095	data_copy.clone_without_data(len(data_copy.data), residuals)
	2096	residuals.data = None
	2097	fn = data_copy.data
	2098	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2099	gn = theory_data.data
[a534432]	2100	if weight is None:
[f76bf17]	2101	en = data_copy.err_data
	2102	else:
	2103	en = weight
	2104	residuals.data = (fn - gn) / en
	2105	residuals.qx_data = data_copy.qx_data
	2106	residuals.qy_data = data_copy.qy_data
	2107	residuals.q_data = data_copy.q_data
[9a5097c]	2108	residuals.err_data = np.ones(len(residuals.data))
[f76bf17]	2109	residuals.xmin = min(residuals.qx_data)
	2110	residuals.xmax = max(residuals.qx_data)
	2111	residuals.ymin = min(residuals.qy_data)
	2112	residuals.ymax = max(residuals.qy_data)
	2113	residuals.q_data = data_copy.q_data
	2114	residuals.mask = data_copy.mask
	2115	residuals.scale = 'linear'
	2116	# check the lengths
	2117	if len(residuals.data) != len(residuals.q_data):
	2118	return
	2119	else:
	2120	# 1 d theory from model_thread is only in the range of index
[a534432]	2121	if data_copy.dy is None or data_copy.dy == []:
[9a5097c]	2122	dy = np.ones(len(data_copy.y))
[f76bf17]	2123	else:
[a534432]	2124	if weight is None:
[9a5097c]	2125	dy = np.ones(len(data_copy.y))
[f76bf17]	2126	## Set consitently w/AbstractFitengine:
	2127	## But this should be corrected later.
	2128	else:
	2129	dy = weight
	2130	dy[dy == 0] = 1
	2131	fn = data_copy.y[index]
	2132	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2133	gn = theory_data.y
	2134	en = dy[index]
	2135	# build residuals
	2136	residuals = Data1D()
	2137	try:
	2138	residuals.y = (fn - gn) / en
	2139	except:
	2140	msg = "ResidualPlot Error: different # of data points in theory"
	2141	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	2142	residuals.y = (fn - gn[index]) / en
	2143	residuals.x = data_copy.x[index]
[9a5097c]	2144	residuals.dy = np.ones(len(residuals.y))
[f76bf17]	2145	residuals.dx = None
	2146	residuals.dxl = None
	2147	residuals.dxw = None
	2148	residuals.ytransform = 'y'
[2a0f33f]	2149	# For latter scale changes
[f76bf17]	2150	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2151	residuals.yaxis('\\rm{Residuals} ', 'normalized')
	2152	theory_name = str(theory_data.name.split()[0])
	2153	new_plot = residuals
	2154	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
	2155	str(data.name) + "]"
	2156	## allow to highlight data when plotted
	2157	new_plot.interactive = True
	2158	## when 2 data have the same id override the 1 st plotted
	2159	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
	2160	##group_id specify on which panel to plot this data
	2161	group_id = self.page_finder[page_id].get_graph_id()
[a534432]	2162	if group_id is None:
[f76bf17]	2163	group_id = data.group_id
	2164	new_plot.group_id = "res" + str(group_id)
	2165	#new_plot.is_data = True
	2166	##post data to plot
	2167	title = new_plot.name
	2168	self.page_finder[page_id].set_residuals(residuals=new_plot,
	2169	fid=data.id)
	2170	self.parent.update_theory(data_id=data.id, theory=new_plot)
	2171	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	2172	if not batch_on:
	2173	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ 00f7ff1

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