fitting.py @ 5c1c486

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 5c1c486 was 5c1c486, checked in by lewis, 7 years ago
Merge branch 'master' into 4.2.0-fixes
Property mode set to `100755`
File size: 90.3 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
[b699768]	25	from sas.sascalc.dataloader.loader import Loader
[d85c194]	26	from sas.sasgui.guiframe.dataFitting import Data2D
	27	from sas.sasgui.guiframe.dataFitting import Data1D
	28	from sas.sasgui.guiframe.dataFitting import check_data_validity
	29	from sas.sasgui.guiframe.events import NewPlotEvent
	30	from sas.sasgui.guiframe.events import StatusEvent
	31	from sas.sasgui.guiframe.events import EVT_SLICER_PANEL
	32	from sas.sasgui.guiframe.events import EVT_SLICER_PARS_UPDATE
	33	from sas.sasgui.guiframe.gui_style import GUIFRAME_ID
	34	from sas.sasgui.guiframe.plugin_base import PluginBase
	35	from sas.sasgui.guiframe.data_processor import BatchCell
[b699768]	36	from sas.sascalc.fit.BumpsFitting import BumpsFit as Fit
[d85c194]	37	from sas.sasgui.perspectives.fitting.console import ConsoleUpdate
	38	from sas.sasgui.perspectives.fitting.fitproblem import FitProblemDictionary
	39	from sas.sasgui.perspectives.fitting.fitpanel import FitPanel
	40	from sas.sasgui.perspectives.fitting.resultpanel import ResultPanel, PlotResultEvent
	41
	42	from sas.sasgui.perspectives.fitting.fit_thread import FitThread
	43	from sas.sasgui.perspectives.fitting.pagestate import Reader
	44	from sas.sasgui.perspectives.fitting.fitpage import Chi2UpdateEvent
	45	from sas.sasgui.perspectives.calculator.model_editor import TextDialog
	46	from sas.sasgui.perspectives.calculator.model_editor import EditorWindow
	47	from sas.sasgui.guiframe.gui_manager import MDIFrame
	48	from sas.sasgui.guiframe.documentation_window import DocumentationWindow
[73cbeec]	49	from sas.sasgui.perspectives.fitting.gpu_options import GpuOptions
[f76bf17]	50
[934ce649]	51	from . import models
	52
[463e7ffc]	53	logger = logging.getLogger(__name__)
[c155a16]	54
[f76bf17]	55	MAX_NBR_DATA = 4
	56
	57	(PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent()
	58
	59
	60	if sys.platform == "win32":
	61	ON_MAC = False
	62	else:
	63	ON_MAC = True
	64
[05228b0]	65	import bumps.options
	66	from bumps.gui.fit_dialog import show_fit_config
	67	try:
	68	from bumps.gui.fit_dialog import EVT_FITTER_CHANGED
	69	except ImportError:
[243fbc0]	70	# CRUFT: bumps 0.7.5.8 and below
[05228b0]	71	EVT_FITTER_CHANGED = None # type: wx.PyCommandEvent
[f76bf17]	72
	73	class Plugin(PluginBase):
	74	"""
	75	Fitting plugin is used to perform fit
	76	"""
[f21d496]	77	def __init__(self):
	78	PluginBase.__init__(self, name="Fitting")
[f76bf17]	79
	80	#list of panel to send to guiframe
	81	self.mypanels = []
	82	# reference to the current running thread
	83	self.calc_2D = None
	84	self.calc_1D = None
	85
	86	self.color_dict = {}
	87
	88	self.fit_thread_list = {}
	89	self.residuals = None
	90	self.weight = None
	91	self.fit_panel = None
	92	self.plot_panel = None
	93	# Start with a good default
	94	self.elapsed = 0.022
	95	self.fit_panel = None
	96	## dictionary of page closed and id
	97	self.closed_page_dict = {}
	98	## Relative error desired in the sum of squares (float)
	99	self.batch_reset_flag = True
	100	#List of selected data
	101	self.selected_data_list = []
	102	## list of slicer panel created to display slicer parameters and results
	103	self.slicer_panels = []
	104	# model 2D view
	105	self.model2D_id = None
	106	#keep reference of the simultaneous fit page
	107	self.sim_page = None
	108	self.sim_menu = None
	109	self.batch_page = None
	110	self.batch_menu = None
	111	self.index_model = 0
	112	self.test_model_color = None
	113	#Create a reader for fit page's state
	114	self.state_reader = None
	115	self._extensions = '.fitv'
	116	self.menu1 = None
	117	self.new_model_frame = None
	118
	119	self.temp_state = []
	120	self.state_index = 0
	121	self.sfile_ext = None
	122	# take care of saving data, model and page associated with each other
	123	self.page_finder = {}
	124	# Log startup
[c155a16]	125	logger.info("Fitting plug-in started")
[f76bf17]	126	self.batch_capable = self.get_batch_capable()
	127
	128	def get_batch_capable(self):
	129	"""
	130	Check if the plugin has a batch capability
	131	"""
	132	return True
	133
	134	def create_fit_problem(self, page_id):
	135	"""
	136	Given an ID create a fitproblem container
	137	"""
	138	self.page_finder[page_id] = FitProblemDictionary()
	139
	140	def delete_fit_problem(self, page_id):
	141	"""
	142	Given an ID create a fitproblem container
	143	"""
	144	if page_id in self.page_finder.iterkeys():
	145	del self.page_finder[page_id]
	146
	147	def add_color(self, color, id):
	148	"""
	149	adds a color as a key with a plot id as its value to a dictionary
	150	"""
	151	self.color_dict[id] = color
	152
	153	def on_batch_selection(self, flag):
	154	"""
	155	switch the the notebook of batch mode or not
	156	"""
	157	self.batch_on = flag
	158	if self.fit_panel is not None:
	159	self.fit_panel.batch_on = self.batch_on
	160
	161	def populate_menu(self, owner):
	162	"""
	163	Create a menu for the Fitting plug-in
	164
	165	:param id: id to create a menu
	166	:param owner: owner of menu
	167
	168	:return: list of information to populate the main menu
	169
	170	"""
	171	#Menu for fitting
	172	self.menu1 = wx.Menu()
	173	id1 = wx.NewId()
	174	simul_help = "Add new fit panel"
	175	self.menu1.Append(id1, '&New Fit Page', simul_help)
	176	wx.EVT_MENU(owner, id1, self.on_add_new_page)
	177	self.menu1.AppendSeparator()
	178	self.id_simfit = wx.NewId()
	179	simul_help = "Constrained or Simultaneous Fit"
	180	self.menu1.Append(self.id_simfit, '&Constrained or Simultaneous Fit', simul_help)
	181	wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page)
	182	self.sim_menu = self.menu1.FindItemById(self.id_simfit)
	183	self.sim_menu.Enable(False)
	184	#combined Batch
	185	self.id_batchfit = wx.NewId()
	186	batch_help = "Combined Batch"
	187	self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help)
	188	wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page)
	189	self.batch_menu = self.menu1.FindItemById(self.id_batchfit)
	190	self.batch_menu.Enable(False)
	191
	192	self.menu1.AppendSeparator()
	193	self.id_bumps_options = wx.NewId()
	194	bopts_help = "Fitting options"
	195	self.menu1.Append(self.id_bumps_options, 'Fit &Options', bopts_help)
	196	wx.EVT_MENU(owner, self.id_bumps_options, self.on_bumps_options)
	197	self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
	198	self.bumps_options_menu.Enable(True)
	199
[73cbeec]	200	self.id_gpu_options_panel = wx.NewId()
	201	self.menu1.Append(self.id_gpu_options_panel, "OpenCL Options", "Choose OpenCL driver or turn it off")
	202	wx.EVT_MENU(owner, self.id_gpu_options_panel, self.on_gpu_options)
	203
[f76bf17]	204	self.id_result_panel = wx.NewId()
	205	self.menu1.Append(self.id_result_panel, "Fit Results", "Show fit results panel")
[9776c82]	206	wx.EVT_MENU(owner, self.id_result_panel, self.on_fit_results)
[f76bf17]	207	self.menu1.AppendSeparator()
	208
	209	self.id_reset_flag = wx.NewId()
	210	resetf_help = "BatchFit: If checked, the initial param values will be "
	211	resetf_help += "propagated from the previous results. "
	212	resetf_help += "Otherwise, the same initial param values will be used "
	213	resetf_help += "for all fittings."
	214	self.menu1.AppendCheckItem(self.id_reset_flag,
	215	"Chain Fitting [BatchFit Only]",
	216	resetf_help)
	217	wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag)
	218	chain_menu = self.menu1.FindItemById(self.id_reset_flag)
	219	chain_menu.Check(not self.batch_reset_flag)
	220	chain_menu.Enable(self.batch_on)
	221
	222	self.menu1.AppendSeparator()
	223	self.edit_model_menu = wx.Menu()
	224	# Find and put files name in menu
	225	try:
	226	self.set_edit_menu(owner=owner)
	227	except:
	228	raise
	229
	230	self.id_edit = wx.NewId()
[ec72ceb]	231	self.menu1.AppendMenu(self.id_edit, "Plugin Model Operations",
[e92a352]	232	self.edit_model_menu)
[f76bf17]	233	#create menubar items
	234	return [(self.menu1, self.sub_menu)]
	235
	236	def edit_custom_model(self, event):
	237	"""
	238	Get the python editor panel
	239	"""
[f21d496]	240	event_id = event.GetId()
	241	label = self.edit_menu.GetLabel(event_id)
[d85c194]	242	from sas.sasgui.perspectives.calculator.pyconsole import PyConsole
[f76bf17]	243	filename = os.path.join(models.find_plugins_dir(), label)
	244	frame = PyConsole(parent=self.parent, manager=self,
	245	panel=self.fit_panel,
[ec72ceb]	246	title='Advanced Plugin Model Editor',
[f76bf17]	247	filename=filename)
	248	self.put_icon(frame)
	249	frame.Show(True)
	250
	251	def delete_custom_model(self, event):
	252	"""
	253	Delete custom model file
	254	"""
[f21d496]	255	event_id = event.GetId()
	256	label = self.delete_menu.GetLabel(event_id)
[f76bf17]	257	toks = os.path.splitext(label)
	258	path = os.path.join(models.find_plugins_dir(), toks[0])
[489f53a]	259	message = "Are you sure you want to delete the file {}?".format(path)
	260	dlg = wx.MessageDialog(self.frame, message, '', wx.YES_NO \| wx.ICON_QUESTION)
	261	if not dlg.ShowModal() == wx.ID_YES:
	262	return
[f76bf17]	263	try:
	264	for ext in ['.py', '.pyc']:
	265	p_path = path + ext
[489f53a]	266	if ext == '.pyc' and not os.path.isfile(path + ext):
	267	# If model is invalid, .pyc file may not exist as model has
	268	# never been compiled. Don't try and delete it
	269	continue
[f76bf17]	270	os.remove(p_path)
	271	self.update_custom_combo()
	272	if os.path.isfile(p_path):
[e92a352]	273	msg = "Sorry! unable to delete the default "
	274	msg += "plugin model... \n"
[f76bf17]	275	msg += "Please manually remove the files (.py, .pyc) "
	276	msg += "in the 'plugin_models' folder \n"
	277	msg += "inside of the SasView application, "
	278	msg += "and try it again."
	279	wx.MessageBox(msg, 'Info')
[934ce649]	280	#evt = StatusEvent(status=msg, type='stop', info='warning')
	281	#wx.PostEvent(self.parent, evt)
[f76bf17]	282	else:
[f21d496]	283	self.delete_menu.Delete(event_id)
[f76bf17]	284	for item in self.edit_menu.GetMenuItems():
	285	if item.GetLabel() == label:
	286	self.edit_menu.DeleteItem(item)
[e92a352]	287	msg = "The plugin model, %s, has been deleted." % label
[934ce649]	288	evt = StatusEvent(status=msg, type='stop', info='info')
	289	wx.PostEvent(self.parent, evt)
[f76bf17]	290	break
[7673ecd]	291	except Exception:
	292	import traceback; traceback.print_exc()
[f76bf17]	293	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
	294	wx.MessageBox(msg, 'Error')
	295
	296	def make_sum_model(self, event):
	297	"""
	298	Edit summodel template and make one
	299	"""
[f21d496]	300	event_id = event.GetId()
[f76bf17]	301	model_manager = models.ModelManager()
	302	model_list = model_manager.get_model_name_list()
	303	plug_dir = models.find_plugins_dir()
[6f16e25]	304	textdial = TextDialog(None, self, wx.ID_ANY, 'Easy Sum/Multi(p1, p2) Editor',
[f76bf17]	305	model_list, plug_dir)
	306	self.put_icon(textdial)
	307	textdial.ShowModal()
	308	textdial.Destroy()
	309
	310	def make_new_model(self, event):
	311	"""
	312	Make new model
	313	"""
[a534432]	314	if self.new_model_frame is not None:
[f76bf17]	315	self.new_model_frame.Show(False)
	316	self.new_model_frame.Show(True)
	317	else:
[f21d496]	318	event_id = event.GetId()
[f76bf17]	319	dir_path = models.find_plugins_dir()
[ec72ceb]	320	title = "New Plugin Model Function"
[f76bf17]	321	self.new_model_frame = EditorWindow(parent=self, base=self,
	322	path=dir_path, title=title)
	323	self.put_icon(self.new_model_frame)
	324	self.new_model_frame.Show(True)
	325
[105ef92]	326	def load_plugin_models(self, event):
	327	"""
	328	Update of models in plugin_models folder
	329	"""
	330	event_id = event.GetId()
[c807957]	331	self.update_custom_combo()
[105ef92]	332
[f76bf17]	333	def update_custom_combo(self):
	334	"""
	335	Update custom model list in the fitpage combo box
	336	"""
[ec72ceb]	337	custom_model = 'Plugin Models'
[f76bf17]	338	try:
	339	# Update edit menus
	340	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
	341	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
	342	temp = self.fit_panel.reset_pmodel_list()
	343	if temp:
[e92a352]	344	# Set the new plugin model list for all fit pages
[f76bf17]	345	for uid, page in self.fit_panel.opened_pages.iteritems():
	346	if hasattr(page, "formfactorbox"):
	347	page.model_list_box = temp
	348	current_val = page.formfactorbox.GetLabel()
	349	#if page.plugin_rbutton.GetValue():
	350	mod_cat = page.categorybox.GetStringSelection()
	351	if mod_cat == custom_model:
	352	#pos = page.formfactorbox.GetSelection()
	353	page._show_combox_helper()
	354	new_val = page.formfactorbox.GetLabel()
	355	if current_val != new_val and new_val != '':
	356	page.formfactorbox.SetLabel(new_val)
	357	else:
	358	page.formfactorbox.SetLabel(current_val)
	359	except:
[c155a16]	360	logger.error("update_custom_combo: %s", sys.exc_value)
[f76bf17]	361
	362	def set_edit_menu(self, owner):
	363	"""
	364	Set list of the edit model menu labels
	365	"""
[f21d496]	366	wx_id = wx.NewId()
[f76bf17]	367	#new_model_menu = wx.Menu()
[ec72ceb]	368	self.edit_model_menu.Append(wx_id, 'New Plugin Model',
[f76bf17]	369	'Add a new model function')
[f21d496]	370	wx.EVT_MENU(owner, wx_id, self.make_new_model)
[489f53a]	371
[f21d496]	372	wx_id = wx.NewId()
	373	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
[f76bf17]	374	'Sum of two model functions')
[f21d496]	375	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
[105ef92]	376
[f76bf17]	377	e_id = wx.NewId()
	378	self.edit_menu = wx.Menu()
	379	self.edit_model_menu.AppendMenu(e_id,
[ec72ceb]	380	'Advanced Plugin Editor', self.edit_menu)
[f76bf17]	381	self.set_edit_menu_helper(owner, self.edit_custom_model)
	382
	383	d_id = wx.NewId()
	384	self.delete_menu = wx.Menu()
	385	self.edit_model_menu.AppendMenu(d_id,
[ec72ceb]	386	'Delete Plugin Models', self.delete_menu)
[f76bf17]	387	self.set_edit_menu_helper(owner, self.delete_custom_model)
	388
[105ef92]	389	wx_id = wx.NewId()
[ec72ceb]	390	self.edit_model_menu.Append(wx_id, 'Load Plugin Models',
[105ef92]	391	'(Re)Load all models present in user plugin_models folder')
	392	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
[489f53a]	393
[f76bf17]	394	def set_edit_menu_helper(self, owner=None, menu=None):
	395	"""
	396	help for setting list of the edit model menu labels
	397	"""
[a534432]	398	if menu is None:
[f76bf17]	399	menu = self.edit_custom_model
	400	list_fnames = os.listdir(models.find_plugins_dir())
	401	list_fnames.sort()
	402	for f_item in list_fnames:
	403	name = os.path.basename(f_item)
	404	toks = os.path.splitext(name)
	405	if toks[-1] == '.py' and not toks[0] == '__init__':
	406	if menu == self.edit_custom_model:
	407	if toks[0] == 'easy_sum_of_p1_p2':
	408	continue
	409	submenu = self.edit_menu
	410	else:
	411	submenu = self.delete_menu
	412	has_file = False
	413	for item in submenu.GetMenuItems():
	414	if name == submenu.GetLabel(item.GetId()):
	415	has_file = True
	416	if not has_file:
[f21d496]	417	wx_id = wx.NewId()
	418	submenu.Append(wx_id, name)
	419	wx.EVT_MENU(owner, wx_id, menu)
[f76bf17]	420	has_file = False
	421
	422	def put_icon(self, frame):
	423	"""
	424	Put icon in the frame title bar
	425	"""
	426	if hasattr(frame, "IsIconized"):
	427	if not frame.IsIconized():
	428	try:
	429	icon = self.parent.GetIcon()
	430	frame.SetIcon(icon)
	431	except:
	432	pass
	433
	434	def on_add_sim_page(self, event):
	435	"""
	436	Create a page to access simultaneous fit option
	437	"""
[f21d496]	438	event_id = event.GetId()
[f76bf17]	439	caption = "Const & Simul Fit"
	440	page = self.sim_page
[f21d496]	441	if event_id == self.id_batchfit:
[f76bf17]	442	caption = "Combined Batch"
	443	page = self.batch_page
	444
	445	def set_focus_page(page):
	446	page.Show(True)
	447	page.Refresh()
	448	page.SetFocus()
	449	#self.parent._mgr.Update()
	450	msg = "%s already opened\n" % str(page.window_caption)
	451	wx.PostEvent(self.parent, StatusEvent(status=msg))
	452
[a534432]	453	if page is not None:
[f76bf17]	454	return set_focus_page(page)
	455	if caption == "Const & Simul Fit":
	456	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	457	else:
	458	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
	459
	460	def get_context_menu(self, plotpanel=None):
	461	"""
	462	Get the context menu items available for P(r).them allow fitting option
	463	for Data2D and Data1D only.
	464
	465	:param graph: the Graph object to which we attach the context menu
	466
	467	:return: a list of menu items with call-back function
	468
	469	:note: if Data1D was generated from Theory1D
	470	the fitting option is not allowed
	471
	472	"""
	473	self.plot_panel = plotpanel
	474	graph = plotpanel.graph
	475	fit_option = "Select data for fitting"
	476	fit_hint = "Dialog with fitting parameters "
	477
	478	if graph.selected_plottable not in plotpanel.plots:
	479	return []
	480	item = plotpanel.plots[graph.selected_plottable]
	481	if item.__class__.__name__ is "Data2D":
	482	if hasattr(item, "is_data"):
	483	if item.is_data:
	484	return [[fit_option, fit_hint, self._onSelect]]
	485	else:
	486	return []
	487	return [[fit_option, fit_hint, self._onSelect]]
	488	else:
	489
	490	# if is_data is true , this in an actual data loaded
	491	#else it is a data created from a theory model
	492	if hasattr(item, "is_data"):
	493	if item.is_data:
	494	return [[fit_option, fit_hint, self._onSelect]]
	495	else:
	496	return []
	497	return [[fit_option, fit_hint, self._onSelect]]
	498	return []
	499
	500	def get_panels(self, parent):
	501	"""
	502	Create and return a list of panel objects
	503	"""
	504	self.parent = parent
	505	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
	506	# Creation of the fit panel
	507	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
	508	self.fit_panel = FitPanel(parent=self.frame, manager=self)
	509	self.frame.set_panel(self.fit_panel)
	510	self._frame_set_helper()
	511	self.on_add_new_page(event=None)
	512	#Set the manager for the main panel
	513	self.fit_panel.set_manager(self)
	514	# List of windows used for the perspective
	515	self.perspective = []
	516	self.perspective.append(self.fit_panel.window_name)
	517
	518	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
	519	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
	520	self.perspective.append(self.result_panel.window_name)
	521
	522	#index number to create random model name
	523	self.index_model = 0
	524	self.index_theory = 0
	525	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
	526	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[05228b0]	527
[243fbc0]	528	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
[05228b0]	529	if EVT_FITTER_CHANGED is not None:
	530	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
	531	self._set_fitter_label(bumps.options.FIT_CONFIG)
	532
[f76bf17]	533	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
	534	#Create reader when fitting panel are created
	535	self.state_reader = Reader(self.set_state)
	536	#append that reader to list of available reader
	537	loader = Loader()
	538	loader.associate_file_reader(".fitv", self.state_reader)
	539	#Send the fitting panel to guiframe
	540	self.mypanels.append(self.fit_panel)
	541	self.mypanels.append(self.result_panel)
	542	return self.mypanels
	543
	544	def clear_panel(self):
	545	"""
	546	"""
	547	self.fit_panel.clear_panel()
	548
	549	def delete_data(self, data):
	550	"""
	551	delete the given data from panel
	552	"""
	553	self.fit_panel.delete_data(data)
	554
	555	def set_data(self, data_list=None):
	556	"""
	557	receive a list of data to fit
	558	"""
	559	if data_list is None:
	560	data_list = []
	561	selected_data_list = []
	562	if self.batch_on:
[098f3d2]	563	self.add_fit_page(data=data_list)
[f76bf17]	564	else:
	565	if len(data_list) > MAX_NBR_DATA:
	566	from fitting_widgets import DataDialog
	567	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	568	if dlg.ShowModal() == wx.ID_OK:
	569	selected_data_list = dlg.get_data()
	570	dlg.Destroy()
	571
	572	else:
	573	selected_data_list = data_list
	574	try:
	575	group_id = wx.NewId()
	576	for data in selected_data_list:
	577	if data is not None:
	578	# 2D has no same group_id
	579	if data.__class__.__name__ == 'Data2D':
	580	group_id = wx.NewId()
	581	data.group_id = group_id
	582	if group_id not in data.list_group_id:
	583	data.list_group_id.append(group_id)
[098f3d2]	584	self.add_fit_page(data=[data])
[f76bf17]	585	except:
[098f3d2]	586	msg = "Fitting set_data: " + str(sys.exc_value)
[f76bf17]	587	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	588
	589	def set_theory(self, theory_list=None):
	590	"""
	591	"""
	592	#set the model state for a given theory_state:
	593	for item in theory_list:
	594	try:
	595	_, theory_state = item
	596	self.fit_panel.set_model_state(theory_state)
[7673ecd]	597	except Exception:
[f76bf17]	598	msg = "Fitting: cannot deal with the theory received"
[934ce649]	599	evt = StatusEvent(status=msg, info="error")
[c155a16]	600	logger.error("set_theory " + msg + "\n" + str(sys.exc_value))
[934ce649]	601	wx.PostEvent(self.parent, evt)
[f76bf17]	602
	603	def set_state(self, state=None, datainfo=None, format=None):
	604	"""
	605	Call-back method for the fit page state reader.
	606	This method is called when a .fitv/.svs file is loaded.
	607
	608	: param state: PageState object
	609	: param datainfo: data
	610	"""
[e89aed5]	611	from pagestate import PageState
	612	from simfitpage import SimFitPageState
	613	if isinstance(state, PageState):
[f76bf17]	614	state = state.clone()
	615	self.temp_state.append(state)
[e89aed5]	616	elif isinstance(state, SimFitPageState):
	617	state.load_from_save_state(self)
[f76bf17]	618	else:
	619	self.temp_state = []
	620	# index to start with for a new set_state
	621	self.state_index = 0
	622	# state file format
	623	self.sfile_ext = format
	624
	625	self.on_set_state_helper(event=None)
	626
	627	def on_set_state_helper(self, event=None):
	628	"""
	629	Set_state_helper. This actually sets state
	630	after plotting data from state file.
	631
	632	: event: FitStateUpdateEvent called
	633	by dataloader.plot_data from guiframe
	634	"""
	635	if len(self.temp_state) == 0:
	636	if self.state_index == 0 and len(self.mypanels) <= 0 \
	637	and self.sfile_ext == '.svs':
	638	self.temp_state = []
	639	self.state_index = 0
	640	return
	641
	642	try:
	643	# Load fitting state
	644	state = self.temp_state[self.state_index]
	645	#panel state should have model selection to set_state
[a534432]	646	if state.formfactorcombobox is not None:
[f76bf17]	647	#set state
	648	data = self.parent.create_gui_data(state.data)
	649	data.group_id = state.data.group_id
	650	self.parent.add_data(data_list={data.id: data})
	651	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	652	title=data.title))
	653	#need to be fix later make sure we are sendind guiframe.data
	654	#to panel
	655	state.data = data
	656	page = self.fit_panel.set_state(state)
	657	else:
	658	#just set data because set_state won't work
	659	data = self.parent.create_gui_data(state.data)
	660	data.group_id = state.data.group_id
	661	self.parent.add_data(data_list={data.id: data})
	662	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	663	title=data.title))
	664	page = self.add_fit_page([data])
	665	caption = page.window_caption
	666	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	667	caption=caption)
	668	self.mypanels.append(page)
	669
	670	# get ready for the next set_state
	671	self.state_index += 1
	672
	673	#reset state variables to default when all set_state is finished.
	674	if len(self.temp_state) == self.state_index:
	675
	676	self.temp_state = []
	677	#self.state_index = 0
	678	# Make sure the user sees the fitting panel after loading
	679	#self.parent.set_perspective(self.perspective)
	680	self.on_perspective(event=None)
	681	except:
	682	self.state_index = 0
	683	self.temp_state = []
	684	raise
	685
	686	def set_param2fit(self, uid, param2fit):
	687	"""
	688	Set the list of param names to fit for fitprobelm
	689	"""
	690	self.page_finder[uid].set_param2fit(param2fit)
	691
	692	def set_graph_id(self, uid, graph_id):
	693	"""
	694	Set graph_id for fitprobelm
	695	"""
	696	self.page_finder[uid].set_graph_id(graph_id)
	697
	698	def get_graph_id(self, uid):
	699	"""
	700	Set graph_id for fitprobelm
	701	"""
	702	return self.page_finder[uid].get_graph_id()
	703
	704	def save_fit_state(self, filepath, fitstate):
	705	"""
	706	save fit page state into file
	707	"""
	708	self.state_reader.write(filename=filepath, fitstate=fitstate)
	709
	710	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
	711	"""
	712	Set the fit weights of a given page for all
	713	its data by default. If fid is provide then set the range
	714	only for the data with fid as id
	715	:param uid: id corresponding to a fit page
	716	:param fid: id corresponding to a fit problem (data, model)
	717	:param weight: current dy data
	718	"""
[098f3d2]	719	# If we are not dealing with a specific fit problem, then
	720	# there is no point setting the weights.
	721	if fid is None:
	722	return
[f76bf17]	723	if uid in self.page_finder.keys():
	724	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
	725
	726	def set_fit_range(self, uid, qmin, qmax, fid=None):
	727	"""
	728	Set the fitting range of a given page for all
	729	its data by default. If fid is provide then set the range
	730	only for the data with fid as id
	731	:param uid: id corresponding to a fit page
	732	:param fid: id corresponding to a fit problem (data, model)
	733	:param qmin: minimum value of the fit range
	734	:param qmax: maximum value of the fit range
	735	"""
	736	if uid in self.page_finder.keys():
	737	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	738
	739	def schedule_for_fit(self, value=0, uid=None):
	740	"""
	741	Set the fit problem field to 0 or 1 to schedule that problem to fit.
	742	Schedule the specified fitproblem or get the fit problem related to
	743	the current page and set value.
	744	:param value: integer 0 or 1
	745	:param uid: the id related to a page contaning fitting information
	746	"""
	747	if uid in self.page_finder.keys():
	748	self.page_finder[uid].schedule_tofit(value)
	749
	750	def get_page_finder(self):
	751	"""
	752	return self.page_finder used also by simfitpage.py
	753	"""
	754	return self.page_finder
	755
	756	def set_page_finder(self, modelname, names, values):
	757	"""
	758	Used by simfitpage.py to reset a parameter given the string constrainst.
	759
	760	:param modelname: the name ot the model for with the parameter
	761	has to reset
	762	:param value: can be a string in this case.
	763	:param names: the paramter name
	764	"""
	765	sim_page_id = self.sim_page.uid
	766	for uid, value in self.page_finder.iteritems():
	767	if uid != sim_page_id and uid != self.batch_page.uid:
[f21d496]	768	model_list = value.get_model()
	769	model = model_list[0]
[f76bf17]	770	if model.name == modelname:
	771	value.set_model_param(names, values)
	772	break
	773
	774	def split_string(self, item):
	775	"""
	776	receive a word containing dot and split it. used to split parameterset
	777	name into model name and parameter name example: ::
	778
	779	paramaterset (item) = M1.A
	780	Will return model_name = M1 , parameter name = A
	781
	782	"""
	783	if item.find(".") >= 0:
	784	param_names = re.split("\.", item)
	785	model_name = param_names[0]
	786	##Assume max len is 3; eg., M0.radius.width
	787	if len(param_names) == 3:
	788	param_name = param_names[1] + "." + param_names[2]
	789	else:
	790	param_name = param_names[1]
	791	return model_name, param_name
	792
	793	def on_bumps_options(self, event=None):
[9776c82]	794	"""
	795	Open the bumps options panel.
	796	"""
[05228b0]	797	show_fit_config(self.parent, help=self.on_help)
	798
	799	def on_fitter_changed(self, event):
	800	self._set_fitter_label(event.config)
	801
	802	def _set_fitter_label(self, config):
	803	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
	804	+ " - Active Fitting Optimizer: "
	805	+ config.selected_name)
[7945367]	806
	807	def on_help(self, algorithm_id):
[86b049b]	808	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
[7945367]	809	_anchor = "#fit-"+algorithm_id
[6f16e25]	810	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
[7945367]	811
[f76bf17]	812
[9776c82]	813	def on_fit_results(self, event=None):
	814	"""
	815	Make the Fit Results panel visible.
	816	"""
	817	self.result_frame.Show()
	818	self.result_frame.Raise()
	819
[73cbeec]	820	def on_gpu_options(self, event=None):
	821	"""
	822	Make the Fit Results panel visible.
	823	"""
	824	dialog = GpuOptions(None, wx.ID_ANY, "")
	825	dialog.Show()
	826
[f76bf17]	827	def stop_fit(self, uid):
	828	"""
[acf8e4a5]	829	Stop the fit
[f76bf17]	830	"""
	831	if uid in self.fit_thread_list.keys():
	832	calc_fit = self.fit_thread_list[uid]
	833	if calc_fit is not None and calc_fit.isrunning():
	834	calc_fit.stop()
	835	msg = "Fit stop!"
	836	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	837	del self.fit_thread_list[uid]
	838	#set the fit button label of page when fit stop is trigger from
	839	#simultaneous fit pane
	840	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	841	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	842	if sim_flag or batch_flag:
	843	for uid, value in self.page_finder.iteritems():
	844	if value.get_scheduled() == 1:
	845	if uid in self.fit_panel.opened_pages.keys():
	846	panel = self.fit_panel.opened_pages[uid]
	847	panel._on_fit_complete()
	848
	849	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	850	enable_smearer=False):
	851	"""
	852	Get a smear object and store it to a fit problem of fid as id. If proper
	853	flag is enable , will plot the theory with smearing information.
	854
	855	:param smearer: smear object to allow smearing data of id fid
	856	:param enable_smearer: Define whether or not all (data, model) contained
	857	in the structure of id uid will be smeared before fitting.
	858	:param qmin: the maximum value of the theory plotting range
	859	:param qmax: the maximum value of the theory plotting range
	860	:param draw: Determine if the theory needs to be plot
	861	"""
	862	if uid not in self.page_finder.keys():
	863	return
	864	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	865	self.page_finder[uid].set_smearer(smearer, fid=fid)
	866	if draw:
	867	## draw model 1D with smeared data
	868	data = self.page_finder[uid].get_fit_data(fid=fid)
	869	if data is None:
	870	msg = "set_mearer requires at least data.\n"
	871	msg += "Got data = %s .\n" % str(data)
	872	return
	873	#raise ValueError, msg
	874	model = self.page_finder[uid].get_model(fid=fid)
	875	if model is None:
	876	return
	877	enable1D = issubclass(data.__class__, Data1D)
	878	enable2D = issubclass(data.__class__, Data2D)
	879	## if user has already selected a model to plot
	880	## redraw the model with data smeared
	881	smear = self.page_finder[uid].get_smearer(fid=fid)
	882
	883	# compute weight for the current data
	884	weight = self.page_finder[uid].get_weight(fid=fid)
	885
	886	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
	887	enable1D=enable1D, enable2D=enable2D,
	888	qmin=qmin, qmax=qmax, weight=weight)
	889
	890	def draw_model(self, model, page_id, data=None, smearer=None,
	891	enable1D=True, enable2D=False,
	892	state=None,
	893	fid=None,
	894	toggle_mode_on=False,
	895	qmin=None, qmax=None,
	896	update_chisqr=True, weight=None, source='model'):
	897	"""
	898	Draw model.
	899
	900	:param model: the model to draw
	901	:param name: the name of the model to draw
	902	:param data: the data on which the model is based to be drawn
	903	:param description: model's description
	904	:param enable1D: if true enable drawing model 1D
	905	:param enable2D: if true enable drawing model 2D
	906	:param qmin: Range's minimum value to draw model
	907	:param qmax: Range's maximum value to draw model
	908	:param qstep: number of step to divide the x and y-axis
	909	:param update_chisqr: update chisqr [bool]
	910
	911	"""
	912	#self.weight = weight
	913	if issubclass(data.__class__, Data1D) or not enable2D:
	914	## draw model 1D with no loaded data
	915	self._draw_model1D(model=model,
	916	data=data,
	917	page_id=page_id,
	918	enable1D=enable1D,
	919	smearer=smearer,
	920	qmin=qmin,
	921	qmax=qmax,
	922	fid=fid,
	923	weight=weight,
	924	toggle_mode_on=toggle_mode_on,
	925	state=state,
	926	update_chisqr=update_chisqr,
	927	source=source)
	928	else:
	929	## draw model 2D with no initial data
	930	self._draw_model2D(model=model,
	931	page_id=page_id,
	932	data=data,
	933	enable2D=enable2D,
	934	smearer=smearer,
	935	qmin=qmin,
	936	qmax=qmax,
	937	fid=fid,
	938	weight=weight,
	939	state=state,
	940	toggle_mode_on=toggle_mode_on,
	941	update_chisqr=update_chisqr,
	942	source=source)
	943
	944	def onFit(self, uid):
	945	"""
	946	Get series of data, model, associates parameters and range and send then
[acf8e4a5]	947	to series of fitters. Fit data and model, display result to
[f76bf17]	948	corresponding panels.
	949	:param uid: id related to the panel currently calling this fit function.
	950	"""
	951	if uid is None: raise RuntimeError("no page to fit") # Should never happen
	952
	953	sim_page_uid = getattr(self.sim_page, 'uid', None)
	954	batch_page_uid = getattr(self.batch_page, 'uid', None)
	955
	956	if uid == sim_page_uid:
	957	fit_type = 'simultaneous'
	958	elif uid == batch_page_uid:
	959	fit_type = 'combined_batch'
	960	else:
	961	fit_type = 'single'
	962
	963	fitter_list = []
	964	sim_fitter = None
	965	if fit_type == 'simultaneous':
[acf8e4a5]	966	# for simultaneous fitting only one fitter is needed
	967	sim_fitter = Fit()
[f76bf17]	968	sim_fitter.fitter_id = self.sim_page.uid
	969	fitter_list.append(sim_fitter)
	970
	971	self.current_pg = None
	972	list_page_id = []
	973	fit_id = 0
	974	for page_id, page_info in self.page_finder.iteritems():
	975	# For simulfit (uid give with None), do for-loop
	976	# if uid is specified (singlefit), do it only on the page.
	977	if page_id in (sim_page_uid, batch_page_uid): continue
	978	if fit_type == "single" and page_id != uid: continue
	979
	980	try:
	981	if page_info.get_scheduled() == 1:
	982	page_info.nbr_residuals_computed = 0
	983	page = self.fit_panel.get_page_by_id(page_id)
	984	self.set_fit_weight(uid=page.uid,
	985	flag=page.get_weight_flag(),
	986	is2d=page._is_2D())
	987	if not page.param_toFit:
	988	msg = "No fitting parameters for %s" % page.window_caption
[934ce649]	989	evt = StatusEvent(status=msg, info="error", type="stop")
	990	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	991	return False
	992	if not page._update_paramv_on_fit():
	993	msg = "Fitting range or parameter values are"
	994	msg += " invalid in %s" % \
	995	page.window_caption
[934ce649]	996	evt = StatusEvent(status=msg, info="error", type="stop")
	997	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	998	return False
	999
	1000	pars = [str(element[1]) for element in page.param_toFit]
	1001	fitproblem_list = page_info.values()
	1002	for fitproblem in fitproblem_list:
	1003	if sim_fitter is None:
[acf8e4a5]	1004	fitter = Fit()
[f76bf17]	1005	fitter.fitter_id = page_id
	1006	fitter_list.append(fitter)
	1007	else:
	1008	fitter = sim_fitter
	1009	self._add_problem_to_fit(fitproblem=fitproblem,
	1010	pars=pars,
	1011	fitter=fitter,
	1012	fit_id=fit_id)
	1013	fit_id += 1
	1014	list_page_id.append(page_id)
	1015	page_info.clear_model_param()
	1016	except KeyboardInterrupt:
	1017	msg = "Fitting terminated"
[934ce649]	1018	evt = StatusEvent(status=msg, info="info", type="stop")
	1019	wx.PostEvent(self.parent, evt)
[f76bf17]	1020	return True
	1021	except:
[a3f125f0]	1022	raise
[f76bf17]	1023	msg = "Fitting error: %s" % str(sys.exc_value)
[934ce649]	1024	evt = StatusEvent(status=msg, info="error", type="stop")
	1025	wx.PostEvent(self.parent, evt)
[f76bf17]	1026	return False
	1027	## If a thread is already started, stop it
[a534432]	1028	#if self.calc_fitis not None and self.calc_fit.isrunning():
[f76bf17]	1029	# self.calc_fit.stop()
	1030	msg = "Fitting is in progress..."
	1031	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1032
[acf8e4a5]	1033	#Handler used to display fit message
[f76bf17]	1034	handler = ConsoleUpdate(parent=self.parent,
	1035	manager=self,
	1036	improvement_delta=0.1)
	1037
	1038	# batch fit
	1039	batch_inputs = {}
	1040	batch_outputs = {}
	1041	if fit_type == "simultaneous":
	1042	page = self.sim_page
	1043	elif fit_type == "combined_batch":
	1044	page = self.batch_page
	1045	else:
	1046	page = self.fit_panel.get_page_by_id(uid)
	1047	if page.batch_on:
	1048	calc_fit = FitThread(handler=handler,
	1049	fn=fitter_list,
	1050	pars=pars,
	1051	batch_inputs=batch_inputs,
	1052	batch_outputs=batch_outputs,
	1053	page_id=list_page_id,
	1054	completefn=self._batch_fit_complete,
	1055	reset_flag=self.batch_reset_flag)
	1056	else:
	1057	## Perform more than 1 fit at the time
	1058	calc_fit = FitThread(handler=handler,
	1059	fn=fitter_list,
	1060	batch_inputs=batch_inputs,
	1061	batch_outputs=batch_outputs,
	1062	page_id=list_page_id,
	1063	updatefn=handler.update_fit,
	1064	completefn=self._fit_completed)
	1065	#self.fit_thread_list[current_page_id] = calc_fit
	1066	self.fit_thread_list[uid] = calc_fit
	1067	calc_fit.queue()
	1068	calc_fit.ready(2.5)
	1069	msg = "Fitting is in progress..."
	1070	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1071
	1072	return True
	1073
	1074	def remove_plot(self, uid, fid=None, theory=False):
	1075	"""
	1076	remove model plot when a fit page is closed
	1077	:param uid: the id related to the fitpage to close
	1078	:param fid: the id of the fitproblem(data, model, range,etc)
	1079	"""
	1080	if uid not in self.page_finder.keys():
	1081	return
	1082	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1083	for fitproblem in fitproblemList:
	1084	data = fitproblem.get_fit_data()
	1085	model = fitproblem.get_model()
	1086	plot_id = None
	1087	if model is not None:
	1088	plot_id = data.id + model.name
	1089	if theory:
	1090	plot_id = data.id + model.name
	1091	group_id = data.group_id
	1092	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
	1093	group_id=group_id,
	1094	action='remove'))
	1095
	1096	def store_data(self, uid, data_list=None, caption=None):
	1097	"""
	1098	Recieve a list of data and store them ans well as a caption of
	1099	the fit page where they come from.
	1100	:param uid: if related to a fit page
	1101	:param data_list: list of data to fit
	1102	:param caption: caption of the window related to these data
	1103	"""
	1104	if data_list is None:
	1105	data_list = []
	1106
	1107	self.page_finder[uid].set_fit_data(data=data_list)
	1108	if caption is not None:
	1109	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1110
	1111	def on_add_new_page(self, event=None):
	1112	"""
	1113	ask fit panel to create a new empty page
	1114	"""
	1115	try:
	1116	page = self.fit_panel.add_empty_page()
	1117	# add data associated to the page created
[a534432]	1118	if page is not None:
[934ce649]	1119	evt = StatusEvent(status="Page Created", info="info")
	1120	wx.PostEvent(self.parent, evt)
[f76bf17]	1121	else:
	1122	msg = "Page was already Created"
[934ce649]	1123	evt = StatusEvent(status=msg, info="warning")
	1124	wx.PostEvent(self.parent, evt)
[f76bf17]	1125	except:
	1126	msg = "Creating Fit page: %s" % sys.exc_value
	1127	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	1128
	1129	def add_fit_page(self, data):
	1130	"""
	1131	given a data, ask to the fitting panel to create a new fitting page,
	1132	get this page and store it into the page_finder of this plug-in
	1133	:param data: is a list of data
	1134	"""
	1135	page = self.fit_panel.set_data(data)
	1136	# page could be None when loading state files
[a534432]	1137	if page is None:
[f76bf17]	1138	return page
	1139	#append Data1D to the panel containing its theory
	1140	#if theory already plotted
	1141	if page.uid in self.page_finder:
	1142	data = page.get_data()
	1143	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
	1144	if issubclass(data.__class__, Data2D):
	1145	data.group_id = wx.NewId()
	1146	if theory_data is not None:
	1147	group_id = str(page.uid) + " Model1D"
	1148	wx.PostEvent(self.parent,
	1149	NewPlotEvent(group_id=group_id,
	1150	action="delete"))
	1151	self.parent.update_data(prev_data=theory_data,
	1152	new_data=data)
	1153	else:
	1154	if theory_data is not None:
	1155	group_id = str(page.uid) + " Model2D"
	1156	data.group_id = theory_data.group_id
	1157	wx.PostEvent(self.parent,
	1158	NewPlotEvent(group_id=group_id,
	1159	action="delete"))
	1160	self.parent.update_data(prev_data=theory_data,
	1161	new_data=data)
	1162	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	1163	caption=page.window_caption)
	1164	if self.sim_page is not None and not self.batch_on:
	1165	self.sim_page.draw_page()
	1166	if self.batch_page is not None and self.batch_on:
	1167	self.batch_page.draw_page()
	1168
	1169	return page
	1170
	1171	def _onEVT_SLICER_PANEL(self, event):
	1172	"""
	1173	receive and event telling to update a panel with a name starting with
	1174	event.panel_name. this method update slicer panel
	1175	for a given interactor.
	1176
	1177	:param event: contains type of slicer , paramaters for updating
	1178	the panel and panel_name to find the slicer 's panel concerned.
	1179	"""
	1180	event.panel_name
	1181	for item in self.parent.panels:
	1182	name = event.panel_name
	1183	if self.parent.panels[item].window_caption.startswith(name):
	1184	self.parent.panels[item].set_slicer(event.type, event.params)
	1185
	1186	#self.parent._mgr.Update()
	1187
	1188	def _closed_fitpage(self, event):
	1189	"""
	1190	request fitpanel to close a given page when its unique data is removed
	1191	from the plot. close fitpage only when the a loaded data is removed
	1192	"""
	1193	if event is None or event.data is None:
	1194	return
	1195	if hasattr(event.data, "is_data"):
	1196	if not event.data.is_data or \
	1197	event.data.__class__.__name__ == "Data1D":
	1198	self.fit_panel.close_page_with_data(event.data)
	1199
	1200	def _reset_schedule_problem(self, value=0, uid=None):
	1201	"""
	1202	unschedule or schedule all fitproblem to be fit
	1203	"""
	1204	# case that uid is not specified
[a534432]	1205	if uid is None:
[f76bf17]	1206	for page_id in self.page_finder.keys():
	1207	self.page_finder[page_id].schedule_tofit(value)
	1208	# when uid is given
	1209	else:
	1210	if uid in self.page_finder.keys():
	1211	self.page_finder[uid].schedule_tofit(value)
	1212
	1213	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
	1214	"""
[acf8e4a5]	1215	Create and set fitter with series of data and model
[f76bf17]	1216	"""
	1217	data = fitproblem.get_fit_data()
	1218	model = fitproblem.get_model()
	1219	smearer = fitproblem.get_smearer()
	1220	qmin, qmax = fitproblem.get_range()
	1221
	1222	#Extra list of parameters and their constraints
	1223	listOfConstraint = []
	1224	param = fitproblem.get_model_param()
	1225	if len(param) > 0:
	1226	for item in param:
	1227	## check if constraint
[a534432]	1228	if item[0] is not None and item[1] is not None:
[f76bf17]	1229	listOfConstraint.append((item[0], item[1]))
	1230	new_model = model
	1231	fitter.set_model(new_model, fit_id, pars, data=data,
	1232	constraints=listOfConstraint)
	1233	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
	1234	qmax=qmax)
	1235	fitter.select_problem_for_fit(id=fit_id, value=1)
	1236
	1237	def _onSelect(self, event):
	1238	"""
	1239	when Select data to fit a new page is created .Its reference is
	1240	added to self.page_finder
	1241	"""
	1242	panel = self.plot_panel
[a534432]	1243	if panel is None:
[f76bf17]	1244	raise ValueError, "Fitting:_onSelect: NonType panel"
	1245	Plugin.on_perspective(self, event=event)
	1246	self.select_data(panel)
	1247
	1248	def select_data(self, panel):
	1249	"""
	1250	"""
	1251	for plottable in panel.graph.plottables:
	1252	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
	1253	data_id = panel.graph.selected_plottable
	1254	if plottable == panel.plots[data_id]:
	1255	data = plottable
	1256	self.add_fit_page(data=[data])
	1257	return
	1258	else:
	1259	data = plottable
	1260	self.add_fit_page(data=[data])
	1261
	1262	def update_fit(self, result=None, msg=""):
	1263	"""
	1264	"""
[a534432]	1265	print("update_fit result", result)
[f76bf17]	1266
	1267	def _batch_fit_complete(self, result, pars, page_id,
	1268	batch_outputs, batch_inputs, elapsed=None):
	1269	"""
	1270	Display fit result in batch
[acf8e4a5]	1271	:param result: list of objects received from fitters
[f76bf17]	1272	:param pars: list of fitted parameters names
	1273	:param page_id: list of page ids which called fit function
	1274	:param elapsed: time spent at the fitting level
	1275	"""
	1276	uid = page_id[0]
	1277	if uid in self.fit_thread_list.keys():
	1278	del self.fit_thread_list[uid]
	1279
[373d4ee]	1280	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1281	t1 = time.time()
	1282	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1283	msg = "Fit completed on %s \n" % str_time
	1284	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1285	evt = StatusEvent(status=msg, info="info", type="stop")
	1286	wx.PostEvent(self.parent, evt)
[f76bf17]	1287
	1288	if batch_outputs is None:
	1289	batch_outputs = {}
	1290
	1291	# format batch_outputs
	1292	batch_outputs["Chi2"] = []
	1293	#Don't like these loops
	1294	# Need to create dictionary of all fitted parameters
	1295	# since the number of parameters can differ between each fit result
	1296	for list_res in result:
	1297	for res in list_res:
	1298	model, data = res.inputs[0]
	1299	if model is not None and hasattr(model, "model"):
	1300	model = model.model
	1301	#get all fittable parameters of the current model
	1302	for param in model.getParamList():
	1303	if param not in batch_outputs.keys():
	1304	batch_outputs[param] = []
	1305	for param in model.getDispParamList():
	1306	if not model.is_fittable(param) and \
	1307	param in batch_outputs.keys():
	1308	del batch_outputs[param]
	1309	# Add fitted parameters and their error
	1310	for param in res.param_list:
	1311	if param not in batch_outputs.keys():
	1312	batch_outputs[param] = []
	1313	err_param = "error on %s" % str(param)
	1314	if err_param not in batch_inputs.keys():
	1315	batch_inputs[err_param] = []
	1316	msg = ""
	1317	for list_res in result:
	1318	for res in list_res:
	1319	pid = res.fitter_id
	1320	model, data = res.inputs[0]
	1321	correct_result = False
	1322	if model is not None and hasattr(model, "model"):
	1323	model = model.model
	1324	if data is not None and hasattr(data, "sas_data"):
	1325	data = data.sas_data
	1326
	1327	is_data2d = issubclass(data.__class__, Data2D)
[0900627]	1328	# Check consistency of arrays
[f76bf17]	1329	if not is_data2d:
	1330	if len(res.theory) == len(res.index[res.index]) and \
	1331	len(res.index) == len(data.y):
	1332	correct_result = True
	1333	else:
	1334	copy_data = deepcopy(data)
	1335	new_theory = copy_data.data
	1336	new_theory[res.index] = res.theory
[9a5097c]	1337	new_theory[res.index == False] = np.nan
[f76bf17]	1338	correct_result = True
[0900627]	1339	# Get all fittable parameters of the current model
[f76bf17]	1340	param_list = model.getParamList()
	1341	for param in model.getDispParamList():
[c4170068]	1342	if '.' in param and param in param_list:
[0900627]	1343	# Ensure polydispersity results are displayed
[c4170068]	1344	p1, p2 = param.split('.')
	1345	if not model.is_fittable(p1) and not (p2 == 'width' and param in res.param_list)\
	1346	and param in param_list:
	1347	param_list.remove(param)
	1348	elif not model.is_fittable(param) and \
[f76bf17]	1349	param in param_list:
	1350	param_list.remove(param)
	1351	if not correct_result or res.fitness is None or \
[9a5097c]	1352	not np.isfinite(res.fitness) or \
[a534432]	1353	np.any(res.pvec is None) or not \
[9a5097c]	1354	np.all(np.isfinite(res.pvec)):
[f76bf17]	1355	data_name = str(None)
	1356	if data is not None:
	1357	data_name = str(data.name)
	1358	model_name = str(None)
	1359	if model is not None:
	1360	model_name = str(model.name)
	1361	msg += "Data %s and Model %s did not fit.\n" % (data_name,
	1362	model_name)
[9a5097c]	1363	ERROR = np.NAN
[f76bf17]	1364	cell = BatchCell()
	1365	cell.label = res.fitness
	1366	cell.value = res.fitness
	1367	batch_outputs["Chi2"].append(ERROR)
	1368	for param in param_list:
[0900627]	1369	# Save value of fixed parameters
[f76bf17]	1370	if param not in res.param_list:
	1371	batch_outputs[str(param)].append(ERROR)
	1372	else:
[0900627]	1373	# Save only fitted values
[f76bf17]	1374	batch_outputs[param].append(ERROR)
	1375	batch_inputs["error on %s" % str(param)].append(ERROR)
	1376	else:
[9a5097c]	1377	# TODO: Why sometimes res.pvec comes with np.float64?
[acf8e4a5]	1378	# probably from scipy lmfit
[9a5097c]	1379	if res.pvec.__class__ == np.float64:
[f76bf17]	1380	res.pvec = [res.pvec]
	1381
	1382	cell = BatchCell()
	1383	cell.label = res.fitness
	1384	cell.value = res.fitness
	1385	batch_outputs["Chi2"].append(cell)
	1386	# add parameters to batch_results
	1387	for param in param_list:
	1388	# save value of fixed parameters
	1389	if param not in res.param_list:
	1390	batch_outputs[str(param)].append(model.getParam(param))
	1391	else:
	1392	index = res.param_list.index(param)
	1393	#save only fitted values
	1394	batch_outputs[param].append(res.pvec[index])
	1395	if res.stderr is not None and \
	1396	len(res.stderr) == len(res.param_list):
	1397	item = res.stderr[index]
	1398	batch_inputs["error on %s" % param].append(item)
	1399	else:
	1400	batch_inputs["error on %s" % param].append('-')
	1401	model.setParam(param, res.pvec[index])
	1402	#fill the batch result with emtpy value if not in the current
	1403	#model
	1404	EMPTY = "-"
	1405	for key in batch_outputs.keys():
	1406	if key not in param_list and key not in ["Chi2", "Data"]:
	1407	batch_outputs[key].append(EMPTY)
	1408
	1409	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
	1410	batch_outputs=batch_outputs)
	1411
	1412	cpage = self.fit_panel.get_page_by_id(pid)
	1413	cpage._on_fit_complete()
	1414	self.page_finder[pid][data.id].set_result(res)
	1415	fitproblem = self.page_finder[pid][data.id]
	1416	qmin, qmax = fitproblem.get_range()
	1417	plot_result = False
	1418	if correct_result:
	1419	if not is_data2d:
	1420	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
	1421	elapsed=None,
	1422	index=res.index, model=model,
	1423	weight=None, fid=data.id,
	1424	toggle_mode_on=False, state=None,
	1425	data=data, update_chisqr=False,
	1426	source='fit', plot_result=plot_result)
	1427	else:
	1428	self._complete2D(image=new_theory, data=data,
	1429	model=model,
	1430	page_id=pid, elapsed=None,
	1431	index=res.index,
	1432	qmin=qmin,
	1433	qmax=qmax, fid=data.id, weight=None,
	1434	toggle_mode_on=False, state=None,
	1435	update_chisqr=False,
	1436	source='fit', plot_result=plot_result)
	1437	self.on_set_batch_result(page_id=pid,
	1438	fid=data.id,
	1439	batch_outputs=batch_outputs,
	1440	batch_inputs=batch_inputs)
	1441
[934ce649]	1442	evt = StatusEvent(status=msg, error="info", type="stop")
	1443	wx.PostEvent(self.parent, evt)
[f76bf17]	1444	# Remove parameters that are not shown
	1445	cpage = self.fit_panel.get_page_by_id(uid)
	1446	tbatch_outputs = {}
	1447	shownkeystr = cpage.get_copy_params()
	1448	for key in batch_outputs.keys():
	1449	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
	1450	tbatch_outputs[key] = batch_outputs[key]
	1451
	1452	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1453	batch_inputs, self.sub_menu)
	1454
	1455	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1456	"""
	1457	"""
	1458	pid = page_id
	1459	if fid not in self.page_finder[pid]:
	1460	return
	1461	fitproblem = self.page_finder[pid][fid]
	1462	index = self.page_finder[pid].nbr_residuals_computed - 1
	1463	residuals = fitproblem.get_residuals()
	1464	theory_data = fitproblem.get_theory_data()
	1465	data = fitproblem.get_fit_data()
	1466	model = fitproblem.get_model()
	1467	#fill batch result information
	1468	if "Data" not in batch_outputs.keys():
	1469	batch_outputs["Data"] = []
[d85c194]	1470	from sas.sasgui.guiframe.data_processor import BatchCell
[f76bf17]	1471	cell = BatchCell()
	1472	cell.label = data.name
	1473	cell.value = index
	1474
[a534432]	1475	if theory_data is not None:
[f76bf17]	1476	#Suucessful fit
	1477	theory_data.id = wx.NewId()
	1478	theory_data.name = model.name + "[%s]" % str(data.name)
	1479	if issubclass(theory_data.__class__, Data2D):
	1480	group_id = wx.NewId()
	1481	theory_data.group_id = group_id
	1482	if group_id not in theory_data.list_group_id:
	1483	theory_data.list_group_id.append(group_id)
	1484
	1485	try:
	1486	# associate residuals plot
	1487	if issubclass(residuals.__class__, Data2D):
	1488	group_id = wx.NewId()
	1489	residuals.group_id = group_id
	1490	if group_id not in residuals.list_group_id:
	1491	residuals.list_group_id.append(group_id)
	1492	batch_outputs["Chi2"][index].object = [residuals]
	1493	except:
	1494	pass
	1495
	1496	cell.object = [data, theory_data]
	1497	batch_outputs["Data"].append(cell)
	1498	for key, value in data.meta_data.iteritems():
	1499	if key not in batch_inputs.keys():
	1500	batch_inputs[key] = []
	1501	#if key.lower().strip() != "loader":
	1502	batch_inputs[key].append(value)
	1503	param = "temperature"
	1504	if hasattr(data.sample, param):
	1505	if param not in batch_inputs.keys():
	1506	batch_inputs[param] = []
	1507	batch_inputs[param].append(data.sample.temperature)
	1508
	1509	def _fit_completed(self, result, page_id, batch_outputs,
	1510	batch_inputs=None, pars=None, elapsed=None):
	1511	"""
	1512	Display result of the fit on related panel(s).
	1513	:param result: list of object generated when fit ends
	1514	:param pars: list of names of parameters fitted
	1515	:param page_id: list of page ids which called fit function
	1516	:param elapsed: time spent at the fitting level
	1517	"""
	1518	t1 = time.time()
	1519	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1520	msg = "Fit completed on %s \n" % str_time
	1521	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1522	evt = StatusEvent(status=msg, info="info", type="stop")
	1523	wx.PostEvent(self.parent, evt)
[f76bf17]	1524	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
[373d4ee]	1525	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1526	result = result[0]
	1527	self.fit_thread_list = {}
	1528	if page_id is None:
	1529	page_id = []
	1530	## fit more than 1 model at the same time
	1531	try:
	1532	index = 0
[aac161f1]	1533	# Update potential simfit page(s)
	1534	if self.sim_page is not None:
	1535	self.sim_page._on_fit_complete()
	1536	if self.batch_page:
	1537	self.batch_page._on_fit_complete()
	1538	# Update all fit pages
[f76bf17]	1539	for uid in page_id:
	1540	res = result[index]
[1a5d5f2]	1541	fit_msg = res.mesg
[f76bf17]	1542	if res.fitness is None or \
[9a5097c]	1543	not np.isfinite(res.fitness) or \
[a534432]	1544	np.any(res.pvec is None) or \
[9a5097c]	1545	not np.all(np.isfinite(res.pvec)):
[1a5d5f2]	1546	fit_msg += "\nFitting did not converge!!!"
[373d4ee]	1547	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1548	else:
	1549	#set the panel when fit result are float not list
[9a5097c]	1550	if res.pvec.__class__ == np.float64:
[f76bf17]	1551	pvec = [res.pvec]
	1552	else:
	1553	pvec = res.pvec
[9a5097c]	1554	if res.stderr.__class__ == np.float64:
[f76bf17]	1555	stderr = [res.stderr]
	1556	else:
	1557	stderr = res.stderr
	1558	cpage = self.fit_panel.get_page_by_id(uid)
	1559	# Make sure we got all results
	1560	#(CallAfter is important to MAC)
	1561	try:
[a534432]	1562	#if res is not None:
[f76bf17]	1563	wx.CallAfter(cpage.onsetValues, res.fitness,
	1564	res.param_list,
	1565	pvec, stderr)
	1566	index += 1
	1567	wx.CallAfter(cpage._on_fit_complete)
	1568	except KeyboardInterrupt:
[1a5d5f2]	1569	fit_msg += "\nSingular point: Fitting stopped."
[f76bf17]	1570	except:
[1a5d5f2]	1571	fit_msg += "\nSingular point: Fitting error occurred."
	1572	if fit_msg:
	1573	evt = StatusEvent(status=fit_msg, info="warning", type="stop")
	1574	wx.PostEvent(self.parent, evt)
[f76bf17]	1575
	1576	except:
[e1442d4]	1577	msg = ("Fit completed but the following error occurred: %s"
	1578	% sys.exc_value)
	1579	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
[934ce649]	1580	evt = StatusEvent(status=msg, info="warning", type="stop")
	1581	wx.PostEvent(self.parent, evt)
[f76bf17]	1582
	1583	def _update_fit_button(self, page_id):
	1584	"""
	1585	Update Fit button when fit stopped
	1586
	1587	: parameter page_id: fitpage where the button is
	1588	"""
	1589	if page_id.__class__.__name__ != 'list':
	1590	page_id = [page_id]
	1591	for uid in page_id:
	1592	page = self.fit_panel.get_page_by_id(uid)
	1593	page._on_fit_complete()
	1594
	1595	def _on_show_panel(self, event):
	1596	"""
	1597	"""
	1598	pass
	1599
	1600	def on_reset_batch_flag(self, event):
	1601	"""
	1602	Set batch_reset_flag
	1603	"""
	1604	event.Skip()
[a534432]	1605	if self.menu1 is None:
[f76bf17]	1606	return
	1607	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1608	flag = menu_item.IsChecked()
	1609	if not flag:
	1610	menu_item.Check(False)
	1611	self.batch_reset_flag = True
	1612	else:
	1613	menu_item.Check(True)
	1614	self.batch_reset_flag = False
	1615
	1616	## post a message to status bar
	1617	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
[934ce649]	1618	wx.PostEvent(self.parent, StatusEvent(status=msg))
[f76bf17]	1619
	1620
	1621	def _on_slicer_event(self, event):
	1622	"""
	1623	Receive a panel as event and send it to guiframe
	1624
	1625	:param event: event containing a panel
	1626
	1627	"""
	1628	if event.panel is not None:
	1629	self.slicer_panels.append(event.panel)
	1630	# Set group ID if available
	1631	event_id = self.parent.popup_panel(event.panel)
	1632	event.panel.uid = event_id
	1633	self.mypanels.append(event.panel)
	1634
	1635	def _onclearslicer(self, event):
	1636	"""
	1637	Clear the boxslicer when close the panel associate with this slicer
	1638	"""
	1639	name = event.GetEventObject().frame.GetTitle()
	1640	for panel in self.slicer_panels:
	1641	if panel.window_caption == name:
	1642
	1643	for item in self.parent.panels:
	1644	if hasattr(self.parent.panels[item], "uid"):
	1645	if self.parent.panels[item].uid == panel.base.uid:
	1646	self.parent.panels[item].onClearSlicer(event)
	1647	#self.parent._mgr.Update()
	1648	break
	1649	break
	1650
	1651	def _on_model_panel(self, evt):
	1652	"""
	1653	react to model selection on any combo box or model menu.plot the model
	1654
	1655	:param evt: wx.combobox event
	1656
	1657	"""
	1658	model = evt.model
	1659	uid = evt.uid
	1660	qmin = evt.qmin
	1661	qmax = evt.qmax
	1662	caption = evt.caption
	1663	enable_smearer = evt.enable_smearer
[a534432]	1664	if model is None:
[f76bf17]	1665	return
	1666	if uid not in self.page_finder.keys():
	1667	return
	1668	# save the name containing the data name with the appropriate model
	1669	self.page_finder[uid].set_model(model)
	1670	self.page_finder[uid].enable_smearing(enable_smearer)
	1671	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
	1672	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1673	if self.sim_page is not None and not self.batch_on:
	1674	self.sim_page.draw_page()
	1675	if self.batch_page is not None and self.batch_on:
	1676	self.batch_page.draw_page()
	1677
	1678	def _update1D(self, x, output):
	1679	"""
	1680	Update the output of plotting model 1D
	1681	"""
	1682	msg = "Plot updating ... "
	1683	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
	1684
[c807957]	1685	def create_theory_1D(self, x, y, page_id, model, data, state,
[804fefa]	1686	data_description, data_id, dy=None):
[c807957]	1687	"""
	1688	Create a theory object associate with an existing Data1D
	1689	and add it to the data manager.
	1690	@param x: x-values of the data
	1691	@param y: y_values of the data
	1692	@param page_id: fit page ID
	1693	@param model: model used for fitting
	1694	@param data: Data1D object to create the theory for
	1695	@param state: model state
	1696	@param data_description: title to use in the data manager
	1697	@param data_id: unique data ID
	1698	"""
	1699	new_plot = Data1D(x=x, y=y)
[6a0c75d1]	1700	if dy is None:
	1701	new_plot.is_data = False
[9a5097c]	1702	new_plot.dy = np.zeros(len(y))
[6a0c75d1]	1703	# If this is a theory curve, pick the proper symbol to make it a curve
	1704	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	1705	else:
	1706	new_plot.is_data = True
	1707	new_plot.dy = dy
[804fefa]	1708	new_plot.interactive = True
	1709	new_plot.dx = None
	1710	new_plot.dxl = None
	1711	new_plot.dxw = None
[c807957]	1712	_yaxis, _yunit = data.get_yaxis()
	1713	_xaxis, _xunit = data.get_xaxis()
	1714	new_plot.title = data.name
	1715	new_plot.group_id = data.group_id
[a534432]	1716	if new_plot.group_id is None:
[c807957]	1717	new_plot.group_id = data.group_id
	1718	new_plot.id = data_id
	1719	# Find if this theory was already plotted and replace that plot given
	1720	# the same id
	1721	self.page_finder[page_id].get_theory_data(fid=data.id)
	1722
	1723	if data.is_data:
	1724	data_name = str(data.name)
	1725	else:
	1726	data_name = str(model.__class__.__name__)
	1727
	1728	new_plot.name = data_description + " [" + data_name + "]"
	1729	new_plot.xaxis(_xaxis, _xunit)
	1730	new_plot.yaxis(_yaxis, _yunit)
	1731	self.page_finder[page_id].set_theory_data(data=new_plot,
	1732	fid=data.id)
	1733	self.parent.update_theory(data_id=data.id, theory=new_plot,
	1734	state=state)
	1735	return new_plot
	1736
[f76bf17]	1737	def _complete1D(self, x, y, page_id, elapsed, index, model,
	1738	weight=None, fid=None,
	1739	toggle_mode_on=False, state=None,
	1740	data=None, update_chisqr=True,
[804fefa]	1741	source='model', plot_result=True,
	1742	unsmeared_model=None, unsmeared_data=None,
[ca4d985]	1743	unsmeared_error=None, sq_model=None, pq_model=None):
[f76bf17]	1744	"""
[c807957]	1745	Complete plotting 1D data
	1746	@param unsmeared_model: fit model, without smearing
[804fefa]	1747	@param unsmeared_data: data, rescaled to unsmeared model
[edbe974]	1748	@param unsmeared_error: data error, rescaled to unsmeared model
[f76bf17]	1749	"""
[489f53a]	1750	number_finite = np.count_nonzero(np.isfinite(y))
[a534432]	1751	np.nan_to_num(y)
	1752	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
	1753	data_description=model.name,
	1754	data_id=str(page_id) + " " + data.name)
[2d9526d]	1755	plots_to_update = [] # List of plottables that have changed since last calculation
	1756	# Create the new theories
[a534432]	1757	if unsmeared_model is not None:
[2d9526d]	1758	unsmeared_model_plot = self.create_theory_1D(x, unsmeared_model,
	1759	page_id, model, data, state,
[a534432]	1760	data_description=model.name + " unsmeared",
	1761	data_id=str(page_id) + " " + data.name + " unsmeared")
[2d9526d]	1762	plots_to_update.append(unsmeared_model_plot)
[a534432]	1763
	1764	if unsmeared_data is not None and unsmeared_error is not None:
[2d9526d]	1765	unsmeared_data_plot = self.create_theory_1D(x, unsmeared_data,
	1766	page_id, model, data, state,
[a534432]	1767	data_description="Data unsmeared",
	1768	data_id="Data " + data.name + " unsmeared",
	1769	dy=unsmeared_error)
[2d9526d]	1770	plots_to_update.append(unsmeared_data_plot)
[e61a9b1]	1771	if sq_model is not None and pq_model is not None:
[467068d]	1772	sq_id = str(page_id) + " " + data.name + " S(q)"
	1773	sq_plot = self.create_theory_1D(x, sq_model, page_id, model, data, state,
[e61a9b1]	1774	data_description=model.name + " S(q)",
[467068d]	1775	data_id=sq_id)
[2d9526d]	1776	plots_to_update.append(sq_plot)
[467068d]	1777	pq_id = str(page_id) + " " + data.name + " P(q)"
	1778	pq_plot = self.create_theory_1D(x, pq_model, page_id, model, data, state,
[e61a9b1]	1779	data_description=model.name + " P(q)",
[467068d]	1780	data_id=pq_id)
[2d9526d]	1781	plots_to_update.append(pq_plot)
	1782	# Update the P(Q), S(Q) and unsmeared theory plots if they exist
	1783	wx.PostEvent(self.parent, NewPlotEvent(plots=plots_to_update,
	1784	action='update'))
[a534432]	1785
	1786	current_pg = self.fit_panel.get_page_by_id(page_id)
	1787	title = new_plot.title
	1788	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1789	if not batch_on:
	1790	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=str(title)))
	1791	elif plot_result:
	1792	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1793	if data.id == top_data_id:
	1794	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=str(title)))
	1795	caption = current_pg.window_caption
	1796	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
	1797
	1798	self.page_finder[page_id].set_theory_data(data=new_plot,
[f76bf17]	1799	fid=data.id)
[a534432]	1800	if toggle_mode_on:
	1801	wx.PostEvent(self.parent,
	1802	NewPlotEvent(group_id=str(page_id) + " Model2D",
[f76bf17]	1803	action="Hide"))
[a534432]	1804	else:
	1805	if update_chisqr:
	1806	wx.PostEvent(current_pg,
	1807	Chi2UpdateEvent(output=self._cal_chisqr(
[f76bf17]	1808	data=data,
	1809	fid=fid,
	1810	weight=weight,
[a534432]	1811	page_id=page_id,
	1812	index=index)))
	1813	else:
	1814	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1815	index=index, weight=weight)
[f76bf17]	1816
[a534432]	1817	if not number_finite:
	1818	logger.error("Using the present parameters the model does not return any finite value. ")
	1819	msg = "Computing Error: Model did not return any finite value."
	1820	wx.PostEvent(self.parent, StatusEvent(status = msg, info="error"))
[489f53a]	1821	else:
[a534432]	1822	msg = "Computation completed!"
[82373f5]	1823	if number_finite != y.size:
[5f768c2]	1824	msg += ' PROBLEM: For some Q values the model returns non finite intensities!'
	1825	logger.error("For some Q values the model returns non finite intensities.")
[f76bf17]	1826	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1827
[934ce649]	1828	def _calc_exception(self, etype, value, tb):
	1829	"""
	1830	Handle exception from calculator by posting it as an error.
	1831	"""
[c155a16]	1832	logger.error("".join(traceback.format_exception(etype, value, tb)))
[934ce649]	1833	msg = traceback.format_exception(etype, value, tb, limit=1)
	1834	evt = StatusEvent(status="".join(msg), type="stop", info="error")
	1835	wx.PostEvent(self.parent, evt)
	1836
[f76bf17]	1837	def _update2D(self, output, time=None):
	1838	"""
	1839	Update the output of plotting model
	1840	"""
[934ce649]	1841	msg = "Plot updating ... "
	1842	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
[f76bf17]	1843
	1844	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1845	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
	1846	update_chisqr=True, source='model', plot_result=True):
	1847	"""
	1848	Complete get the result of modelthread and create model 2D
	1849	that can be plot.
	1850	"""
[489f53a]	1851	number_finite = np.count_nonzero(np.isfinite(image))
[9a5097c]	1852	np.nan_to_num(image)
[f76bf17]	1853	new_plot = Data2D(image=image, err_image=data.err_data)
	1854	new_plot.name = model.name + '2d'
	1855	new_plot.title = "Analytical model 2D "
	1856	new_plot.id = str(page_id) + " " + data.name
	1857	new_plot.group_id = str(page_id) + " Model2D"
	1858	new_plot.detector = data.detector
	1859	new_plot.source = data.source
	1860	new_plot.is_data = False
	1861	new_plot.qx_data = data.qx_data
	1862	new_plot.qy_data = data.qy_data
	1863	new_plot.q_data = data.q_data
	1864	new_plot.mask = data.mask
	1865	## plot boundaries
	1866	new_plot.ymin = data.ymin
	1867	new_plot.ymax = data.ymax
	1868	new_plot.xmin = data.xmin
	1869	new_plot.xmax = data.xmax
	1870	title = data.title
	1871
	1872	new_plot.is_data = False
	1873	if data.is_data:
	1874	data_name = str(data.name)
	1875	else:
	1876	data_name = str(model.__class__.__name__) + '2d'
	1877
	1878	if len(title) > 1:
	1879	new_plot.title = "Model2D for %s " % model.name + data_name
	1880	new_plot.name = model.name + " [" + \
	1881	data_name + "]"
	1882	theory_data = deepcopy(new_plot)
	1883
	1884	self.page_finder[page_id].set_theory_data(data=theory_data,
	1885	fid=data.id)
	1886	self.parent.update_theory(data_id=data.id,
	1887	theory=new_plot,
	1888	state=state)
	1889	current_pg = self.fit_panel.get_page_by_id(page_id)
	1890	title = new_plot.title
	1891	if not source == 'fit' and plot_result:
	1892	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1893	title=title))
	1894	if toggle_mode_on:
	1895	wx.PostEvent(self.parent,
	1896	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1897	action="Hide"))
	1898	else:
	1899	# Chisqr in fitpage
	1900	if update_chisqr:
	1901	wx.PostEvent(current_pg,
	1902	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
	1903	weight=weight,
	1904	fid=fid,
	1905	page_id=page_id,
	1906	index=index)))
	1907	else:
	1908	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1909	index=index, weight=weight)
[a534432]	1910
	1911	if not number_finite:
	1912	logger.error("Using the present parameters the model does not return any finite value. ")
	1913	msg = "Computing Error: Model did not return any finite value."
	1914	wx.PostEvent(self.parent, StatusEvent(status = msg, info="error"))
	1915	else:
	1916	msg = "Computation completed!"
	1917	if number_finite != image.size:
	1918	msg += ' PROBLEM: For some Qx,Qy values the model returns non finite intensities!'
	1919	logger.error("For some Qx,Qy values the model returns non finite intensities.")
	1920	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
[f76bf17]	1921
	1922	def _draw_model2D(self, model, page_id, qmin,
	1923	qmax,
	1924	data=None, smearer=None,
	1925	description=None, enable2D=False,
	1926	state=None,
	1927	fid=None,
	1928	weight=None,
	1929	toggle_mode_on=False,
	1930	update_chisqr=True, source='model'):
	1931	"""
	1932	draw model in 2D
	1933
	1934	:param model: instance of the model to draw
	1935	:param description: the description of the model
	1936	:param enable2D: when True allows to draw model 2D
	1937	:param qmin: the minimum value to draw model 2D
	1938	:param qmax: the maximum value to draw model 2D
	1939	:param qstep: the number of division of Qx and Qy of the model to draw
	1940
	1941	"""
	1942	if not enable2D:
	1943	return None
	1944	try:
	1945	from model_thread import Calc2D
	1946	## If a thread is already started, stop it
	1947	if (self.calc_2D is not None) and self.calc_2D.isrunning():
	1948	self.calc_2D.stop()
	1949	## stop just raises a flag to tell the thread to kill
	1950	## itself -- see the fix in Calc1D implemented to fix
	1951	## an actual problem. Seems the fix should also go here
	1952	## and may be the cause of other noted instabilities
	1953	##
[489f53a]	1954	## -PDB August 12, 2014
[f76bf17]	1955	while self.calc_2D.isrunning():
	1956	time.sleep(0.1)
	1957	self.calc_2D = Calc2D(model=model,
[934ce649]	1958	data=data,
	1959	page_id=page_id,
	1960	smearer=smearer,
	1961	qmin=qmin,
	1962	qmax=qmax,
	1963	weight=weight,
	1964	fid=fid,
	1965	toggle_mode_on=toggle_mode_on,
	1966	state=state,
	1967	completefn=self._complete2D,
	1968	update_chisqr=update_chisqr,
	1969	exception_handler=self._calc_exception,
	1970	source=source)
[f76bf17]	1971	self.calc_2D.queue()
	1972	except:
	1973	raise
	1974
	1975	def _draw_model1D(self, model, page_id, data,
	1976	qmin, qmax, smearer=None,
	1977	state=None,
	1978	weight=None,
	1979	fid=None,
	1980	toggle_mode_on=False, update_chisqr=True, source='model',
	1981	enable1D=True):
	1982	"""
	1983	Draw model 1D from loaded data1D
	1984
	1985	:param data: loaded data
	1986	:param model: the model to plot
	1987
	1988	"""
	1989	if not enable1D:
	1990	return
	1991	try:
	1992	from model_thread import Calc1D
	1993	## If a thread is already started, stop it
	1994	if (self.calc_1D is not None) and self.calc_1D.isrunning():
	1995	self.calc_1D.stop()
[489f53a]	1996	## stop just raises the flag -- the thread is supposed to
[f76bf17]	1997	## then kill itself but cannot. Paul Kienzle came up with
	1998	## this fix to prevent threads from stepping on each other
[ddbac66]	1999	## which was causing a simple custom plugin model to crash
	2000	##Sasview.
[f76bf17]	2001	## We still don't know why the fit sometimes lauched a second
	2002	## thread -- something which should also be investigated.
	2003	## The thread approach was implemented in order to be able
	2004	## to lauch a computation in a separate thread from the GUI so
	2005	## that the GUI can still respond to user input including
	2006	## a request to stop the computation.
	2007	## It seems thus that the whole thread approach used here
[489f53a]	2008	## May need rethinking
[f76bf17]	2009	##
[d99f008]	2010	## -PDB August 12, 2014
[f76bf17]	2011	while self.calc_1D.isrunning():
	2012	time.sleep(0.1)
	2013	self.calc_1D = Calc1D(data=data,
	2014	model=model,
	2015	page_id=page_id,
	2016	qmin=qmin,
	2017	qmax=qmax,
	2018	smearer=smearer,
	2019	state=state,
	2020	weight=weight,
	2021	fid=fid,
	2022	toggle_mode_on=toggle_mode_on,
	2023	completefn=self._complete1D,
	2024	#updatefn = self._update1D,
	2025	update_chisqr=update_chisqr,
[934ce649]	2026	exception_handler=self._calc_exception,
[f76bf17]	2027	source=source)
	2028	self.calc_1D.queue()
	2029	except:
	2030	msg = " Error occurred when drawing %s Model 1D: " % model.name
	2031	msg += " %s" % sys.exc_value
	2032	wx.PostEvent(self.parent, StatusEvent(status=msg))
	2033
	2034	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
	2035	"""
	2036	Get handy Chisqr using the output from draw1D and 2D,
	2037	instead of calling expansive CalcChisqr in guithread
	2038	"""
	2039	try:
	2040	data_copy = deepcopy(data)
	2041	except:
	2042	return
	2043	# default chisqr
	2044	chisqr = None
	2045	#to compute chisq make sure data has valid data
[a534432]	2046	# return None if data is None
	2047	if not check_data_validity(data_copy) or data_copy is None:
[f76bf17]	2048	return chisqr
	2049
	2050	# Get data: data I, theory I, and data dI in order
	2051	if data_copy.__class__.__name__ == "Data2D":
[a534432]	2052	if index is None:
[9a5097c]	2053	index = np.ones(len(data_copy.data), dtype=bool)
[a534432]	2054	if weight is not None:
[f76bf17]	2055	data_copy.err_data = weight
	2056	# get rid of zero error points
	2057	index = index & (data_copy.err_data != 0)
[9a5097c]	2058	index = index & (np.isfinite(data_copy.data))
[f76bf17]	2059	fn = data_copy.data[index]
	2060	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[a534432]	2061	if theory_data is None:
[f76bf17]	2062	return chisqr
	2063	gn = theory_data.data[index]
	2064	en = data_copy.err_data[index]
	2065	else:
	2066	# 1 d theory from model_thread is only in the range of index
[a534432]	2067	if index is None:
[9a5097c]	2068	index = np.ones(len(data_copy.y), dtype=bool)
[a534432]	2069	if weight is not None:
[f76bf17]	2070	data_copy.dy = weight
[a534432]	2071	if data_copy.dy is None or data_copy.dy == []:
[9a5097c]	2072	dy = np.ones(len(data_copy.y))
[f76bf17]	2073	else:
[acf8e4a5]	2074	## Set consistently w/AbstractFitengine:
[f76bf17]	2075	# But this should be corrected later.
	2076	dy = deepcopy(data_copy.dy)
	2077	dy[dy == 0] = 1
	2078	fn = data_copy.y[index]
	2079
	2080	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[a534432]	2081	if theory_data is None:
[f76bf17]	2082	return chisqr
	2083	gn = theory_data.y
	2084	en = dy[index]
	2085
	2086	# residual
	2087	try:
	2088	res = (fn - gn) / en
	2089	except ValueError:
[a534432]	2090	print("Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en)))
[f76bf17]	2091	return
	2092
[9a5097c]	2093	residuals = res[np.isfinite(res)]
[f76bf17]	2094	# get chisqr only w/finite
[9a5097c]	2095	chisqr = np.average(residuals * residuals)
[f76bf17]	2096
	2097	self._plot_residuals(page_id=page_id, data=data_copy,
	2098	fid=fid,
	2099	weight=weight, index=index)
	2100
	2101	return chisqr
	2102
	2103	def _plot_residuals(self, page_id, weight, fid=None,
	2104	data=None, index=None):
	2105	"""
	2106	Plot the residuals
	2107
	2108	:param data: data
	2109	:param index: index array (bool)
	2110	: Note: this is different from the residuals in cal_chisqr()
	2111	"""
	2112	data_copy = deepcopy(data)
	2113	# Get data: data I, theory I, and data dI in order
	2114	if data_copy.__class__.__name__ == "Data2D":
	2115	# build residuals
	2116	residuals = Data2D()
	2117	#residuals.copy_from_datainfo(data)
	2118	# Not for trunk the line below, instead use the line above
	2119	data_copy.clone_without_data(len(data_copy.data), residuals)
	2120	residuals.data = None
	2121	fn = data_copy.data
	2122	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2123	gn = theory_data.data
[a534432]	2124	if weight is None:
[f76bf17]	2125	en = data_copy.err_data
	2126	else:
	2127	en = weight
	2128	residuals.data = (fn - gn) / en
	2129	residuals.qx_data = data_copy.qx_data
	2130	residuals.qy_data = data_copy.qy_data
	2131	residuals.q_data = data_copy.q_data
[9a5097c]	2132	residuals.err_data = np.ones(len(residuals.data))
[f76bf17]	2133	residuals.xmin = min(residuals.qx_data)
	2134	residuals.xmax = max(residuals.qx_data)
	2135	residuals.ymin = min(residuals.qy_data)
	2136	residuals.ymax = max(residuals.qy_data)
	2137	residuals.q_data = data_copy.q_data
	2138	residuals.mask = data_copy.mask
	2139	residuals.scale = 'linear'
	2140	# check the lengths
	2141	if len(residuals.data) != len(residuals.q_data):
	2142	return
	2143	else:
	2144	# 1 d theory from model_thread is only in the range of index
[a534432]	2145	if data_copy.dy is None or data_copy.dy == []:
[9a5097c]	2146	dy = np.ones(len(data_copy.y))
[f76bf17]	2147	else:
[a534432]	2148	if weight is None:
[9a5097c]	2149	dy = np.ones(len(data_copy.y))
[f76bf17]	2150	## Set consitently w/AbstractFitengine:
	2151	## But this should be corrected later.
	2152	else:
	2153	dy = weight
	2154	dy[dy == 0] = 1
	2155	fn = data_copy.y[index]
	2156	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2157	gn = theory_data.y
	2158	en = dy[index]
	2159	# build residuals
	2160	residuals = Data1D()
	2161	try:
	2162	residuals.y = (fn - gn) / en
	2163	except:
	2164	msg = "ResidualPlot Error: different # of data points in theory"
	2165	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	2166	residuals.y = (fn - gn[index]) / en
	2167	residuals.x = data_copy.x[index]
[9a5097c]	2168	residuals.dy = np.ones(len(residuals.y))
[f76bf17]	2169	residuals.dx = None
	2170	residuals.dxl = None
	2171	residuals.dxw = None
	2172	residuals.ytransform = 'y'
[489f53a]	2173	# For latter scale changes
[f76bf17]	2174	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2175	residuals.yaxis('\\rm{Residuals} ', 'normalized')
	2176	theory_name = str(theory_data.name.split()[0])
	2177	new_plot = residuals
	2178	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
	2179	str(data.name) + "]"
	2180	## allow to highlight data when plotted
	2181	new_plot.interactive = True
	2182	## when 2 data have the same id override the 1 st plotted
	2183	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
	2184	##group_id specify on which panel to plot this data
	2185	group_id = self.page_finder[page_id].get_graph_id()
[a534432]	2186	if group_id is None:
[f76bf17]	2187	group_id = data.group_id
	2188	new_plot.group_id = "res" + str(group_id)
	2189	#new_plot.is_data = True
	2190	##post data to plot
	2191	title = new_plot.name
	2192	self.page_finder[page_id].set_residuals(residuals=new_plot,
	2193	fid=data.id)
	2194	self.parent.update_theory(data_id=data.id, theory=new_plot)
	2195	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	2196	if not batch_on:
	2197	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ 5c1c486

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