fitting.py @ c57ecca

Last change on this file since c57ecca was c416a17, checked in by Piotr Rozyczko <rozyczko@…>, 8 years ago
Merge branch 'master' into ESS_GUI
Property mode set to `100644`
File size: 88.0 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	################################################################################
[a1b8fee]	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
[811bec1]	45	#from sas.sasgui.perspectives.calculator.model_editor import TextDialog
	46	#from sas.sasgui.perspectives.calculator.model_editor import EditorWindow
[d85c194]	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])
	259	try:
	260	for ext in ['.py', '.pyc']:
	261	p_path = path + ext
	262	os.remove(p_path)
	263	self.update_custom_combo()
	264	if os.path.isfile(p_path):
[e92a352]	265	msg = "Sorry! unable to delete the default "
	266	msg += "plugin model... \n"
[f76bf17]	267	msg += "Please manually remove the files (.py, .pyc) "
	268	msg += "in the 'plugin_models' folder \n"
	269	msg += "inside of the SasView application, "
	270	msg += "and try it again."
	271	wx.MessageBox(msg, 'Info')
[934ce649]	272	#evt = StatusEvent(status=msg, type='stop', info='warning')
	273	#wx.PostEvent(self.parent, evt)
[f76bf17]	274	else:
[f21d496]	275	self.delete_menu.Delete(event_id)
[f76bf17]	276	for item in self.edit_menu.GetMenuItems():
	277	if item.GetLabel() == label:
	278	self.edit_menu.DeleteItem(item)
[e92a352]	279	msg = "The plugin model, %s, has been deleted." % label
[934ce649]	280	evt = StatusEvent(status=msg, type='stop', info='info')
	281	wx.PostEvent(self.parent, evt)
[f76bf17]	282	break
[7673ecd]	283	except Exception:
	284	import traceback; traceback.print_exc()
[f76bf17]	285	msg = 'Delete Error: \nCould not delete the file; Check if in use.'
	286	wx.MessageBox(msg, 'Error')
	287
	288	def make_sum_model(self, event):
	289	"""
	290	Edit summodel template and make one
	291	"""
[f21d496]	292	event_id = event.GetId()
[f76bf17]	293	model_manager = models.ModelManager()
	294	model_list = model_manager.get_model_name_list()
	295	plug_dir = models.find_plugins_dir()
[6f16e25]	296	textdial = TextDialog(None, self, wx.ID_ANY, 'Easy Sum/Multi(p1, p2) Editor',
[f76bf17]	297	model_list, plug_dir)
	298	self.put_icon(textdial)
	299	textdial.ShowModal()
	300	textdial.Destroy()
	301
	302	def make_new_model(self, event):
	303	"""
	304	Make new model
	305	"""
[7432acb]	306	if self.new_model_frame is not None:
[f76bf17]	307	self.new_model_frame.Show(False)
	308	self.new_model_frame.Show(True)
	309	else:
[f21d496]	310	event_id = event.GetId()
[f76bf17]	311	dir_path = models.find_plugins_dir()
[ec72ceb]	312	title = "New Plugin Model Function"
[f76bf17]	313	self.new_model_frame = EditorWindow(parent=self, base=self,
	314	path=dir_path, title=title)
	315	self.put_icon(self.new_model_frame)
	316	self.new_model_frame.Show(True)
	317
[105ef92]	318	def load_plugin_models(self, event):
	319	"""
	320	Update of models in plugin_models folder
	321	"""
	322	event_id = event.GetId()
[c807957]	323	self.update_custom_combo()
[105ef92]	324
[f76bf17]	325	def update_custom_combo(self):
	326	"""
	327	Update custom model list in the fitpage combo box
	328	"""
[ec72ceb]	329	custom_model = 'Plugin Models'
[f76bf17]	330	try:
	331	# Update edit menus
	332	self.set_edit_menu_helper(self.parent, self.edit_custom_model)
	333	self.set_edit_menu_helper(self.parent, self.delete_custom_model)
	334	temp = self.fit_panel.reset_pmodel_list()
	335	if temp:
[e92a352]	336	# Set the new plugin model list for all fit pages
[f76bf17]	337	for uid, page in self.fit_panel.opened_pages.iteritems():
	338	if hasattr(page, "formfactorbox"):
	339	page.model_list_box = temp
	340	current_val = page.formfactorbox.GetLabel()
	341	#if page.plugin_rbutton.GetValue():
	342	mod_cat = page.categorybox.GetStringSelection()
	343	if mod_cat == custom_model:
	344	#pos = page.formfactorbox.GetSelection()
	345	page._show_combox_helper()
	346	new_val = page.formfactorbox.GetLabel()
	347	if current_val != new_val and new_val != '':
	348	page.formfactorbox.SetLabel(new_val)
	349	else:
	350	page.formfactorbox.SetLabel(current_val)
	351	except:
[c155a16]	352	logger.error("update_custom_combo: %s", sys.exc_value)
[f76bf17]	353
	354	def set_edit_menu(self, owner):
	355	"""
	356	Set list of the edit model menu labels
	357	"""
[f21d496]	358	wx_id = wx.NewId()
[f76bf17]	359	#new_model_menu = wx.Menu()
[ec72ceb]	360	self.edit_model_menu.Append(wx_id, 'New Plugin Model',
[f76bf17]	361	'Add a new model function')
[f21d496]	362	wx.EVT_MENU(owner, wx_id, self.make_new_model)
[105ef92]	363
[f21d496]	364	wx_id = wx.NewId()
	365	self.edit_model_menu.Append(wx_id, 'Sum\|Multi(p1, p2)',
[f76bf17]	366	'Sum of two model functions')
[f21d496]	367	wx.EVT_MENU(owner, wx_id, self.make_sum_model)
[105ef92]	368
[f76bf17]	369	e_id = wx.NewId()
	370	self.edit_menu = wx.Menu()
	371	self.edit_model_menu.AppendMenu(e_id,
[ec72ceb]	372	'Advanced Plugin Editor', self.edit_menu)
[f76bf17]	373	self.set_edit_menu_helper(owner, self.edit_custom_model)
	374
	375	d_id = wx.NewId()
	376	self.delete_menu = wx.Menu()
	377	self.edit_model_menu.AppendMenu(d_id,
[ec72ceb]	378	'Delete Plugin Models', self.delete_menu)
[f76bf17]	379	self.set_edit_menu_helper(owner, self.delete_custom_model)
	380
[105ef92]	381	wx_id = wx.NewId()
[ec72ceb]	382	self.edit_model_menu.Append(wx_id, 'Load Plugin Models',
[105ef92]	383	'(Re)Load all models present in user plugin_models folder')
	384	wx.EVT_MENU(owner, wx_id, self.load_plugin_models)
[bc7b5da2]	385
[f76bf17]	386	def set_edit_menu_helper(self, owner=None, menu=None):
	387	"""
	388	help for setting list of the edit model menu labels
	389	"""
[235f514]	390	if menu is None:
[f76bf17]	391	menu = self.edit_custom_model
	392	list_fnames = os.listdir(models.find_plugins_dir())
	393	list_fnames.sort()
	394	for f_item in list_fnames:
	395	name = os.path.basename(f_item)
	396	toks = os.path.splitext(name)
	397	if toks[-1] == '.py' and not toks[0] == '__init__':
	398	if menu == self.edit_custom_model:
	399	if toks[0] == 'easy_sum_of_p1_p2':
	400	continue
	401	submenu = self.edit_menu
	402	else:
	403	submenu = self.delete_menu
	404	has_file = False
	405	for item in submenu.GetMenuItems():
	406	if name == submenu.GetLabel(item.GetId()):
	407	has_file = True
	408	if not has_file:
[f21d496]	409	wx_id = wx.NewId()
	410	submenu.Append(wx_id, name)
	411	wx.EVT_MENU(owner, wx_id, menu)
[f76bf17]	412	has_file = False
	413
	414	def put_icon(self, frame):
	415	"""
	416	Put icon in the frame title bar
	417	"""
	418	if hasattr(frame, "IsIconized"):
	419	if not frame.IsIconized():
	420	try:
	421	icon = self.parent.GetIcon()
	422	frame.SetIcon(icon)
	423	except:
	424	pass
	425
	426	def on_add_sim_page(self, event):
	427	"""
	428	Create a page to access simultaneous fit option
	429	"""
[f21d496]	430	event_id = event.GetId()
[f76bf17]	431	caption = "Const & Simul Fit"
	432	page = self.sim_page
[f21d496]	433	if event_id == self.id_batchfit:
[f76bf17]	434	caption = "Combined Batch"
	435	page = self.batch_page
	436
	437	def set_focus_page(page):
	438	page.Show(True)
	439	page.Refresh()
	440	page.SetFocus()
	441	#self.parent._mgr.Update()
	442	msg = "%s already opened\n" % str(page.window_caption)
	443	wx.PostEvent(self.parent, StatusEvent(status=msg))
	444
[7432acb]	445	if page is not None:
[f76bf17]	446	return set_focus_page(page)
	447	if caption == "Const & Simul Fit":
	448	self.sim_page = self.fit_panel.add_sim_page(caption=caption)
	449	else:
	450	self.batch_page = self.fit_panel.add_sim_page(caption=caption)
	451
	452	def get_context_menu(self, plotpanel=None):
	453	"""
	454	Get the context menu items available for P(r).them allow fitting option
	455	for Data2D and Data1D only.
	456
	457	:param graph: the Graph object to which we attach the context menu
	458
	459	:return: a list of menu items with call-back function
	460
	461	:note: if Data1D was generated from Theory1D
	462	the fitting option is not allowed
	463
	464	"""
	465	self.plot_panel = plotpanel
	466	graph = plotpanel.graph
	467	fit_option = "Select data for fitting"
	468	fit_hint = "Dialog with fitting parameters "
	469
	470	if graph.selected_plottable not in plotpanel.plots:
	471	return []
	472	item = plotpanel.plots[graph.selected_plottable]
	473	if item.__class__.__name__ is "Data2D":
	474	if hasattr(item, "is_data"):
	475	if item.is_data:
	476	return [[fit_option, fit_hint, self._onSelect]]
	477	else:
	478	return []
	479	return [[fit_option, fit_hint, self._onSelect]]
	480	else:
	481
	482	# if is_data is true , this in an actual data loaded
	483	#else it is a data created from a theory model
	484	if hasattr(item, "is_data"):
	485	if item.is_data:
	486	return [[fit_option, fit_hint, self._onSelect]]
	487	else:
	488	return []
	489	return [[fit_option, fit_hint, self._onSelect]]
	490	return []
	491
	492	def get_panels(self, parent):
	493	"""
	494	Create and return a list of panel objects
	495	"""
	496	self.parent = parent
	497	#self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper)
	498	# Creation of the fit panel
	499	self.frame = MDIFrame(self.parent, None, 'None', (100, 200))
	500	self.fit_panel = FitPanel(parent=self.frame, manager=self)
	501	self.frame.set_panel(self.fit_panel)
	502	self._frame_set_helper()
	503	self.on_add_new_page(event=None)
	504	#Set the manager for the main panel
	505	self.fit_panel.set_manager(self)
	506	# List of windows used for the perspective
	507	self.perspective = []
	508	self.perspective.append(self.fit_panel.window_name)
	509
	510	self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
	511	self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
	512	self.perspective.append(self.result_panel.window_name)
	513
	514	#index number to create random model name
	515	self.index_model = 0
	516	self.index_theory = 0
	517	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
	518	self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL)
[05228b0]	519
[243fbc0]	520	# CRUFT: EVT_FITTER_CHANGED is not None for bumps 0.7.5.9 and above
[05228b0]	521	if EVT_FITTER_CHANGED is not None:
	522	self.parent.Bind(EVT_FITTER_CHANGED, self.on_fitter_changed)
	523	self._set_fitter_label(bumps.options.FIT_CONFIG)
	524
[f76bf17]	525	#self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer)
	526	#Create reader when fitting panel are created
	527	self.state_reader = Reader(self.set_state)
	528	#append that reader to list of available reader
	529	loader = Loader()
	530	loader.associate_file_reader(".fitv", self.state_reader)
	531	#Send the fitting panel to guiframe
	532	self.mypanels.append(self.fit_panel)
	533	self.mypanels.append(self.result_panel)
	534	return self.mypanels
	535
	536	def clear_panel(self):
	537	"""
	538	"""
	539	self.fit_panel.clear_panel()
	540
	541	def delete_data(self, data):
	542	"""
	543	delete the given data from panel
	544	"""
	545	self.fit_panel.delete_data(data)
	546
	547	def set_data(self, data_list=None):
	548	"""
	549	receive a list of data to fit
	550	"""
	551	if data_list is None:
	552	data_list = []
	553	selected_data_list = []
	554	if self.batch_on:
[098f3d2]	555	self.add_fit_page(data=data_list)
[f76bf17]	556	else:
	557	if len(data_list) > MAX_NBR_DATA:
	558	from fitting_widgets import DataDialog
	559	dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA)
	560	if dlg.ShowModal() == wx.ID_OK:
	561	selected_data_list = dlg.get_data()
	562	dlg.Destroy()
	563
	564	else:
	565	selected_data_list = data_list
	566	try:
	567	group_id = wx.NewId()
	568	for data in selected_data_list:
	569	if data is not None:
	570	# 2D has no same group_id
	571	if data.__class__.__name__ == 'Data2D':
	572	group_id = wx.NewId()
	573	data.group_id = group_id
	574	if group_id not in data.list_group_id:
	575	data.list_group_id.append(group_id)
[098f3d2]	576	self.add_fit_page(data=[data])
[f76bf17]	577	except:
[098f3d2]	578	msg = "Fitting set_data: " + str(sys.exc_value)
[f76bf17]	579	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	580
	581	def set_theory(self, theory_list=None):
	582	"""
	583	"""
	584	#set the model state for a given theory_state:
	585	for item in theory_list:
	586	try:
	587	_, theory_state = item
	588	self.fit_panel.set_model_state(theory_state)
[7673ecd]	589	except Exception:
[f76bf17]	590	msg = "Fitting: cannot deal with the theory received"
[934ce649]	591	evt = StatusEvent(status=msg, info="error")
[c155a16]	592	logger.error("set_theory " + msg + "\n" + str(sys.exc_value))
[934ce649]	593	wx.PostEvent(self.parent, evt)
[f76bf17]	594
	595	def set_state(self, state=None, datainfo=None, format=None):
	596	"""
	597	Call-back method for the fit page state reader.
	598	This method is called when a .fitv/.svs file is loaded.
	599
	600	: param state: PageState object
	601	: param datainfo: data
	602	"""
[e89aed5]	603	from pagestate import PageState
	604	from simfitpage import SimFitPageState
	605	if isinstance(state, PageState):
[f76bf17]	606	state = state.clone()
	607	self.temp_state.append(state)
[e89aed5]	608	elif isinstance(state, SimFitPageState):
	609	state.load_from_save_state(self)
[f76bf17]	610	else:
	611	self.temp_state = []
	612	# index to start with for a new set_state
	613	self.state_index = 0
	614	# state file format
	615	self.sfile_ext = format
	616
	617	self.on_set_state_helper(event=None)
	618
	619	def on_set_state_helper(self, event=None):
	620	"""
	621	Set_state_helper. This actually sets state
	622	after plotting data from state file.
	623
	624	: event: FitStateUpdateEvent called
	625	by dataloader.plot_data from guiframe
	626	"""
	627	if len(self.temp_state) == 0:
	628	if self.state_index == 0 and len(self.mypanels) <= 0 \
	629	and self.sfile_ext == '.svs':
	630	self.temp_state = []
	631	self.state_index = 0
	632	return
	633
	634	try:
	635	# Load fitting state
	636	state = self.temp_state[self.state_index]
	637	#panel state should have model selection to set_state
[7432acb]	638	if state.formfactorcombobox is not None:
[f76bf17]	639	#set state
	640	data = self.parent.create_gui_data(state.data)
	641	data.group_id = state.data.group_id
	642	self.parent.add_data(data_list={data.id: data})
	643	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	644	title=data.title))
	645	#need to be fix later make sure we are sendind guiframe.data
	646	#to panel
	647	state.data = data
	648	page = self.fit_panel.set_state(state)
	649	else:
	650	#just set data because set_state won't work
	651	data = self.parent.create_gui_data(state.data)
	652	data.group_id = state.data.group_id
	653	self.parent.add_data(data_list={data.id: data})
	654	wx.PostEvent(self.parent, NewPlotEvent(plot=data,
	655	title=data.title))
	656	page = self.add_fit_page([data])
	657	caption = page.window_caption
	658	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	659	caption=caption)
	660	self.mypanels.append(page)
	661
	662	# get ready for the next set_state
	663	self.state_index += 1
	664
	665	#reset state variables to default when all set_state is finished.
	666	if len(self.temp_state) == self.state_index:
	667
	668	self.temp_state = []
	669	#self.state_index = 0
	670	# Make sure the user sees the fitting panel after loading
	671	#self.parent.set_perspective(self.perspective)
	672	self.on_perspective(event=None)
	673	except:
	674	self.state_index = 0
	675	self.temp_state = []
	676	raise
	677
	678	def set_param2fit(self, uid, param2fit):
	679	"""
	680	Set the list of param names to fit for fitprobelm
	681	"""
	682	self.page_finder[uid].set_param2fit(param2fit)
	683
	684	def set_graph_id(self, uid, graph_id):
	685	"""
	686	Set graph_id for fitprobelm
	687	"""
	688	self.page_finder[uid].set_graph_id(graph_id)
	689
	690	def get_graph_id(self, uid):
	691	"""
	692	Set graph_id for fitprobelm
	693	"""
	694	return self.page_finder[uid].get_graph_id()
	695
	696	def save_fit_state(self, filepath, fitstate):
	697	"""
	698	save fit page state into file
	699	"""
	700	self.state_reader.write(filename=filepath, fitstate=fitstate)
	701
	702	def set_fit_weight(self, uid, flag, is2d=False, fid=None):
	703	"""
	704	Set the fit weights of a given page for all
	705	its data by default. If fid is provide then set the range
	706	only for the data with fid as id
	707	:param uid: id corresponding to a fit page
	708	:param fid: id corresponding to a fit problem (data, model)
	709	:param weight: current dy data
	710	"""
[098f3d2]	711	# If we are not dealing with a specific fit problem, then
	712	# there is no point setting the weights.
	713	if fid is None:
	714	return
[f76bf17]	715	if uid in self.page_finder.keys():
	716	self.page_finder[uid].set_weight(flag=flag, is2d=is2d)
	717
	718	def set_fit_range(self, uid, qmin, qmax, fid=None):
	719	"""
	720	Set the fitting range of a given page for all
	721	its data by default. If fid is provide then set the range
	722	only for the data with fid as id
	723	:param uid: id corresponding to a fit page
	724	:param fid: id corresponding to a fit problem (data, model)
	725	:param qmin: minimum value of the fit range
	726	:param qmax: maximum value of the fit range
	727	"""
	728	if uid in self.page_finder.keys():
	729	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid)
	730
	731	def schedule_for_fit(self, value=0, uid=None):
	732	"""
	733	Set the fit problem field to 0 or 1 to schedule that problem to fit.
	734	Schedule the specified fitproblem or get the fit problem related to
	735	the current page and set value.
	736	:param value: integer 0 or 1
	737	:param uid: the id related to a page contaning fitting information
	738	"""
	739	if uid in self.page_finder.keys():
	740	self.page_finder[uid].schedule_tofit(value)
	741
	742	def get_page_finder(self):
	743	"""
	744	return self.page_finder used also by simfitpage.py
	745	"""
	746	return self.page_finder
	747
	748	def set_page_finder(self, modelname, names, values):
	749	"""
	750	Used by simfitpage.py to reset a parameter given the string constrainst.
	751
	752	:param modelname: the name ot the model for with the parameter
	753	has to reset
	754	:param value: can be a string in this case.
	755	:param names: the paramter name
	756	"""
	757	sim_page_id = self.sim_page.uid
	758	for uid, value in self.page_finder.iteritems():
	759	if uid != sim_page_id and uid != self.batch_page.uid:
[f21d496]	760	model_list = value.get_model()
	761	model = model_list[0]
[f76bf17]	762	if model.name == modelname:
	763	value.set_model_param(names, values)
	764	break
	765
	766	def split_string(self, item):
	767	"""
	768	receive a word containing dot and split it. used to split parameterset
	769	name into model name and parameter name example: ::
	770
	771	paramaterset (item) = M1.A
	772	Will return model_name = M1 , parameter name = A
	773
	774	"""
	775	if item.find(".") >= 0:
	776	param_names = re.split("\.", item)
	777	model_name = param_names[0]
	778	##Assume max len is 3; eg., M0.radius.width
	779	if len(param_names) == 3:
	780	param_name = param_names[1] + "." + param_names[2]
	781	else:
	782	param_name = param_names[1]
	783	return model_name, param_name
	784
	785	def on_bumps_options(self, event=None):
[9776c82]	786	"""
	787	Open the bumps options panel.
	788	"""
[05228b0]	789	show_fit_config(self.parent, help=self.on_help)
	790
	791	def on_fitter_changed(self, event):
	792	self._set_fitter_label(event.config)
	793
	794	def _set_fitter_label(self, config):
	795	self.fit_panel.parent.SetTitle(self.fit_panel.window_name
	796	+ " - Active Fitting Optimizer: "
	797	+ config.selected_name)
[7945367]	798
	799	def on_help(self, algorithm_id):
[86b049b]	800	_TreeLocation = "user/sasgui/perspectives/fitting/optimizer.html"
[7945367]	801	_anchor = "#fit-"+algorithm_id
[6f16e25]	802	DocumentationWindow(self.parent, wx.ID_ANY, _TreeLocation, _anchor, "Optimizer Help")
[7945367]	803
[f76bf17]	804
[9776c82]	805	def on_fit_results(self, event=None):
	806	"""
	807	Make the Fit Results panel visible.
	808	"""
	809	self.result_frame.Show()
	810	self.result_frame.Raise()
	811
[73cbeec]	812	def on_gpu_options(self, event=None):
	813	"""
	814	Make the Fit Results panel visible.
	815	"""
	816	dialog = GpuOptions(None, wx.ID_ANY, "")
	817	dialog.Show()
	818
[f76bf17]	819	def stop_fit(self, uid):
	820	"""
[acf8e4a5]	821	Stop the fit
[f76bf17]	822	"""
	823	if uid in self.fit_thread_list.keys():
	824	calc_fit = self.fit_thread_list[uid]
	825	if calc_fit is not None and calc_fit.isrunning():
	826	calc_fit.stop()
	827	msg = "Fit stop!"
	828	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	829	del self.fit_thread_list[uid]
	830	#set the fit button label of page when fit stop is trigger from
	831	#simultaneous fit pane
	832	sim_flag = self.sim_page is not None and uid == self.sim_page.uid
	833	batch_flag = self.batch_page is not None and uid == self.batch_page.uid
	834	if sim_flag or batch_flag:
	835	for uid, value in self.page_finder.iteritems():
	836	if value.get_scheduled() == 1:
	837	if uid in self.fit_panel.opened_pages.keys():
	838	panel = self.fit_panel.opened_pages[uid]
	839	panel._on_fit_complete()
	840
	841	def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True,
	842	enable_smearer=False):
	843	"""
	844	Get a smear object and store it to a fit problem of fid as id. If proper
	845	flag is enable , will plot the theory with smearing information.
	846
	847	:param smearer: smear object to allow smearing data of id fid
	848	:param enable_smearer: Define whether or not all (data, model) contained
	849	in the structure of id uid will be smeared before fitting.
	850	:param qmin: the maximum value of the theory plotting range
	851	:param qmax: the maximum value of the theory plotting range
	852	:param draw: Determine if the theory needs to be plot
	853	"""
	854	if uid not in self.page_finder.keys():
	855	return
	856	self.page_finder[uid].enable_smearing(flag=enable_smearer)
	857	self.page_finder[uid].set_smearer(smearer, fid=fid)
	858	if draw:
	859	## draw model 1D with smeared data
	860	data = self.page_finder[uid].get_fit_data(fid=fid)
	861	if data is None:
	862	msg = "set_mearer requires at least data.\n"
	863	msg += "Got data = %s .\n" % str(data)
	864	return
	865	#raise ValueError, msg
	866	model = self.page_finder[uid].get_model(fid=fid)
	867	if model is None:
	868	return
	869	enable1D = issubclass(data.__class__, Data1D)
	870	enable2D = issubclass(data.__class__, Data2D)
	871	## if user has already selected a model to plot
	872	## redraw the model with data smeared
	873	smear = self.page_finder[uid].get_smearer(fid=fid)
	874
	875	# compute weight for the current data
	876	weight = self.page_finder[uid].get_weight(fid=fid)
	877
	878	self.draw_model(model=model, data=data, page_id=uid, smearer=smear,
	879	enable1D=enable1D, enable2D=enable2D,
	880	qmin=qmin, qmax=qmax, weight=weight)
	881
	882	def draw_model(self, model, page_id, data=None, smearer=None,
	883	enable1D=True, enable2D=False,
	884	state=None,
	885	fid=None,
	886	toggle_mode_on=False,
	887	qmin=None, qmax=None,
	888	update_chisqr=True, weight=None, source='model'):
	889	"""
	890	Draw model.
	891
	892	:param model: the model to draw
	893	:param name: the name of the model to draw
	894	:param data: the data on which the model is based to be drawn
	895	:param description: model's description
	896	:param enable1D: if true enable drawing model 1D
	897	:param enable2D: if true enable drawing model 2D
	898	:param qmin: Range's minimum value to draw model
	899	:param qmax: Range's maximum value to draw model
	900	:param qstep: number of step to divide the x and y-axis
	901	:param update_chisqr: update chisqr [bool]
	902
	903	"""
	904	#self.weight = weight
	905	if issubclass(data.__class__, Data1D) or not enable2D:
	906	## draw model 1D with no loaded data
	907	self._draw_model1D(model=model,
	908	data=data,
	909	page_id=page_id,
	910	enable1D=enable1D,
	911	smearer=smearer,
	912	qmin=qmin,
	913	qmax=qmax,
	914	fid=fid,
	915	weight=weight,
	916	toggle_mode_on=toggle_mode_on,
	917	state=state,
	918	update_chisqr=update_chisqr,
	919	source=source)
	920	else:
	921	## draw model 2D with no initial data
	922	self._draw_model2D(model=model,
	923	page_id=page_id,
	924	data=data,
	925	enable2D=enable2D,
	926	smearer=smearer,
	927	qmin=qmin,
	928	qmax=qmax,
	929	fid=fid,
	930	weight=weight,
	931	state=state,
	932	toggle_mode_on=toggle_mode_on,
	933	update_chisqr=update_chisqr,
	934	source=source)
	935
	936	def onFit(self, uid):
	937	"""
	938	Get series of data, model, associates parameters and range and send then
[acf8e4a5]	939	to series of fitters. Fit data and model, display result to
[f76bf17]	940	corresponding panels.
	941	:param uid: id related to the panel currently calling this fit function.
	942	"""
	943	if uid is None: raise RuntimeError("no page to fit") # Should never happen
	944
	945	sim_page_uid = getattr(self.sim_page, 'uid', None)
	946	batch_page_uid = getattr(self.batch_page, 'uid', None)
	947
	948	if uid == sim_page_uid:
	949	fit_type = 'simultaneous'
	950	elif uid == batch_page_uid:
	951	fit_type = 'combined_batch'
	952	else:
	953	fit_type = 'single'
	954
	955	fitter_list = []
	956	sim_fitter = None
	957	if fit_type == 'simultaneous':
[acf8e4a5]	958	# for simultaneous fitting only one fitter is needed
	959	sim_fitter = Fit()
[f76bf17]	960	sim_fitter.fitter_id = self.sim_page.uid
	961	fitter_list.append(sim_fitter)
	962
	963	self.current_pg = None
	964	list_page_id = []
	965	fit_id = 0
	966	for page_id, page_info in self.page_finder.iteritems():
	967	# For simulfit (uid give with None), do for-loop
	968	# if uid is specified (singlefit), do it only on the page.
	969	if page_id in (sim_page_uid, batch_page_uid): continue
	970	if fit_type == "single" and page_id != uid: continue
	971
	972	try:
	973	if page_info.get_scheduled() == 1:
	974	page_info.nbr_residuals_computed = 0
	975	page = self.fit_panel.get_page_by_id(page_id)
	976	self.set_fit_weight(uid=page.uid,
	977	flag=page.get_weight_flag(),
	978	is2d=page._is_2D())
	979	if not page.param_toFit:
	980	msg = "No fitting parameters for %s" % page.window_caption
[934ce649]	981	evt = StatusEvent(status=msg, info="error", type="stop")
	982	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	983	return False
	984	if not page._update_paramv_on_fit():
	985	msg = "Fitting range or parameter values are"
	986	msg += " invalid in %s" % \
	987	page.window_caption
[934ce649]	988	evt = StatusEvent(status=msg, info="error", type="stop")
	989	wx.PostEvent(page.parent.parent, evt)
[f76bf17]	990	return False
	991
	992	pars = [str(element[1]) for element in page.param_toFit]
	993	fitproblem_list = page_info.values()
	994	for fitproblem in fitproblem_list:
	995	if sim_fitter is None:
[acf8e4a5]	996	fitter = Fit()
[f76bf17]	997	fitter.fitter_id = page_id
	998	fitter_list.append(fitter)
	999	else:
	1000	fitter = sim_fitter
	1001	self._add_problem_to_fit(fitproblem=fitproblem,
	1002	pars=pars,
	1003	fitter=fitter,
	1004	fit_id=fit_id)
	1005	fit_id += 1
	1006	list_page_id.append(page_id)
	1007	page_info.clear_model_param()
	1008	except KeyboardInterrupt:
	1009	msg = "Fitting terminated"
[934ce649]	1010	evt = StatusEvent(status=msg, info="info", type="stop")
	1011	wx.PostEvent(self.parent, evt)
[f76bf17]	1012	return True
	1013	except:
[a3f125f0]	1014	raise
[f76bf17]	1015	msg = "Fitting error: %s" % str(sys.exc_value)
[934ce649]	1016	evt = StatusEvent(status=msg, info="error", type="stop")
	1017	wx.PostEvent(self.parent, evt)
[f76bf17]	1018	return False
	1019	## If a thread is already started, stop it
[7432acb]	1020	#if self.calc_fitis not None and self.calc_fit.isrunning():
[f76bf17]	1021	# self.calc_fit.stop()
	1022	msg = "Fitting is in progress..."
	1023	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1024
[acf8e4a5]	1025	#Handler used to display fit message
[f76bf17]	1026	handler = ConsoleUpdate(parent=self.parent,
	1027	manager=self,
	1028	improvement_delta=0.1)
	1029
	1030	# batch fit
	1031	batch_inputs = {}
	1032	batch_outputs = {}
	1033	if fit_type == "simultaneous":
	1034	page = self.sim_page
	1035	elif fit_type == "combined_batch":
	1036	page = self.batch_page
	1037	else:
	1038	page = self.fit_panel.get_page_by_id(uid)
	1039	if page.batch_on:
	1040	calc_fit = FitThread(handler=handler,
	1041	fn=fitter_list,
	1042	pars=pars,
	1043	batch_inputs=batch_inputs,
	1044	batch_outputs=batch_outputs,
	1045	page_id=list_page_id,
	1046	completefn=self._batch_fit_complete,
	1047	reset_flag=self.batch_reset_flag)
	1048	else:
	1049	## Perform more than 1 fit at the time
	1050	calc_fit = FitThread(handler=handler,
	1051	fn=fitter_list,
	1052	batch_inputs=batch_inputs,
	1053	batch_outputs=batch_outputs,
	1054	page_id=list_page_id,
	1055	updatefn=handler.update_fit,
	1056	completefn=self._fit_completed)
	1057	#self.fit_thread_list[current_page_id] = calc_fit
	1058	self.fit_thread_list[uid] = calc_fit
	1059	calc_fit.queue()
	1060	calc_fit.ready(2.5)
	1061	msg = "Fitting is in progress..."
	1062	wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress"))
	1063
	1064	return True
	1065
	1066	def remove_plot(self, uid, fid=None, theory=False):
	1067	"""
	1068	remove model plot when a fit page is closed
	1069	:param uid: the id related to the fitpage to close
	1070	:param fid: the id of the fitproblem(data, model, range,etc)
	1071	"""
	1072	if uid not in self.page_finder.keys():
	1073	return
	1074	fitproblemList = self.page_finder[uid].get_fit_problem(fid)
	1075	for fitproblem in fitproblemList:
	1076	data = fitproblem.get_fit_data()
	1077	model = fitproblem.get_model()
	1078	plot_id = None
	1079	if model is not None:
	1080	plot_id = data.id + model.name
	1081	if theory:
	1082	plot_id = data.id + model.name
	1083	group_id = data.group_id
	1084	wx.PostEvent(self.parent, NewPlotEvent(id=plot_id,
	1085	group_id=group_id,
	1086	action='remove'))
	1087
	1088	def store_data(self, uid, data_list=None, caption=None):
	1089	"""
	1090	Recieve a list of data and store them ans well as a caption of
	1091	the fit page where they come from.
	1092	:param uid: if related to a fit page
	1093	:param data_list: list of data to fit
	1094	:param caption: caption of the window related to these data
	1095	"""
	1096	if data_list is None:
	1097	data_list = []
	1098
	1099	self.page_finder[uid].set_fit_data(data=data_list)
	1100	if caption is not None:
	1101	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1102
	1103	def on_add_new_page(self, event=None):
	1104	"""
	1105	ask fit panel to create a new empty page
	1106	"""
	1107	try:
	1108	page = self.fit_panel.add_empty_page()
	1109	# add data associated to the page created
[7432acb]	1110	if page is not None:
[934ce649]	1111	evt = StatusEvent(status="Page Created", info="info")
	1112	wx.PostEvent(self.parent, evt)
[f76bf17]	1113	else:
	1114	msg = "Page was already Created"
[934ce649]	1115	evt = StatusEvent(status=msg, info="warning")
	1116	wx.PostEvent(self.parent, evt)
[f76bf17]	1117	except:
	1118	msg = "Creating Fit page: %s" % sys.exc_value
	1119	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	1120
	1121	def add_fit_page(self, data):
	1122	"""
	1123	given a data, ask to the fitting panel to create a new fitting page,
	1124	get this page and store it into the page_finder of this plug-in
	1125	:param data: is a list of data
	1126	"""
	1127	page = self.fit_panel.set_data(data)
	1128	# page could be None when loading state files
[235f514]	1129	if page is None:
[f76bf17]	1130	return page
	1131	#append Data1D to the panel containing its theory
	1132	#if theory already plotted
	1133	if page.uid in self.page_finder:
	1134	data = page.get_data()
	1135	theory_data = self.page_finder[page.uid].get_theory_data(data.id)
	1136	if issubclass(data.__class__, Data2D):
	1137	data.group_id = wx.NewId()
	1138	if theory_data is not None:
	1139	group_id = str(page.uid) + " Model1D"
	1140	wx.PostEvent(self.parent,
	1141	NewPlotEvent(group_id=group_id,
	1142	action="delete"))
	1143	self.parent.update_data(prev_data=theory_data,
	1144	new_data=data)
	1145	else:
	1146	if theory_data is not None:
	1147	group_id = str(page.uid) + " Model2D"
	1148	data.group_id = theory_data.group_id
	1149	wx.PostEvent(self.parent,
	1150	NewPlotEvent(group_id=group_id,
	1151	action="delete"))
	1152	self.parent.update_data(prev_data=theory_data,
	1153	new_data=data)
	1154	self.store_data(uid=page.uid, data_list=page.get_data_list(),
	1155	caption=page.window_caption)
	1156	if self.sim_page is not None and not self.batch_on:
	1157	self.sim_page.draw_page()
	1158	if self.batch_page is not None and self.batch_on:
	1159	self.batch_page.draw_page()
	1160
	1161	return page
	1162
	1163	def _onEVT_SLICER_PANEL(self, event):
	1164	"""
	1165	receive and event telling to update a panel with a name starting with
	1166	event.panel_name. this method update slicer panel
	1167	for a given interactor.
	1168
	1169	:param event: contains type of slicer , paramaters for updating
	1170	the panel and panel_name to find the slicer 's panel concerned.
	1171	"""
	1172	event.panel_name
	1173	for item in self.parent.panels:
	1174	name = event.panel_name
	1175	if self.parent.panels[item].window_caption.startswith(name):
	1176	self.parent.panels[item].set_slicer(event.type, event.params)
	1177
	1178	#self.parent._mgr.Update()
	1179
	1180	def _closed_fitpage(self, event):
	1181	"""
	1182	request fitpanel to close a given page when its unique data is removed
	1183	from the plot. close fitpage only when the a loaded data is removed
	1184	"""
	1185	if event is None or event.data is None:
	1186	return
	1187	if hasattr(event.data, "is_data"):
	1188	if not event.data.is_data or \
	1189	event.data.__class__.__name__ == "Data1D":
	1190	self.fit_panel.close_page_with_data(event.data)
	1191
	1192	def _reset_schedule_problem(self, value=0, uid=None):
	1193	"""
	1194	unschedule or schedule all fitproblem to be fit
	1195	"""
	1196	# case that uid is not specified
[235f514]	1197	if uid is None:
[f76bf17]	1198	for page_id in self.page_finder.keys():
	1199	self.page_finder[page_id].schedule_tofit(value)
	1200	# when uid is given
	1201	else:
	1202	if uid in self.page_finder.keys():
	1203	self.page_finder[uid].schedule_tofit(value)
	1204
	1205	def _add_problem_to_fit(self, fitproblem, pars, fitter, fit_id):
	1206	"""
[acf8e4a5]	1207	Create and set fitter with series of data and model
[f76bf17]	1208	"""
	1209	data = fitproblem.get_fit_data()
	1210	model = fitproblem.get_model()
	1211	smearer = fitproblem.get_smearer()
	1212	qmin, qmax = fitproblem.get_range()
	1213
	1214	#Extra list of parameters and their constraints
	1215	listOfConstraint = []
	1216	param = fitproblem.get_model_param()
	1217	if len(param) > 0:
	1218	for item in param:
	1219	## check if constraint
[7432acb]	1220	if item[0] is not None and item[1] is not None:
[f76bf17]	1221	listOfConstraint.append((item[0], item[1]))
	1222	new_model = model
	1223	fitter.set_model(new_model, fit_id, pars, data=data,
	1224	constraints=listOfConstraint)
	1225	fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin,
	1226	qmax=qmax)
	1227	fitter.select_problem_for_fit(id=fit_id, value=1)
	1228
	1229	def _onSelect(self, event):
	1230	"""
	1231	when Select data to fit a new page is created .Its reference is
	1232	added to self.page_finder
	1233	"""
	1234	panel = self.plot_panel
[235f514]	1235	if panel is None:
[f76bf17]	1236	raise ValueError, "Fitting:_onSelect: NonType panel"
	1237	Plugin.on_perspective(self, event=event)
	1238	self.select_data(panel)
	1239
	1240	def select_data(self, panel):
	1241	"""
	1242	"""
	1243	for plottable in panel.graph.plottables:
	1244	if plottable.__class__.__name__ in ["Data1D", "Theory1D"]:
	1245	data_id = panel.graph.selected_plottable
	1246	if plottable == panel.plots[data_id]:
	1247	data = plottable
	1248	self.add_fit_page(data=[data])
	1249	return
	1250	else:
	1251	data = plottable
	1252	self.add_fit_page(data=[data])
	1253
	1254	def update_fit(self, result=None, msg=""):
	1255	"""
	1256	"""
[9c3d784]	1257	print("update_fit result", result)
[f76bf17]	1258
	1259	def _batch_fit_complete(self, result, pars, page_id,
	1260	batch_outputs, batch_inputs, elapsed=None):
	1261	"""
	1262	Display fit result in batch
[acf8e4a5]	1263	:param result: list of objects received from fitters
[f76bf17]	1264	:param pars: list of fitted parameters names
	1265	:param page_id: list of page ids which called fit function
	1266	:param elapsed: time spent at the fitting level
	1267	"""
	1268	uid = page_id[0]
	1269	if uid in self.fit_thread_list.keys():
	1270	del self.fit_thread_list[uid]
	1271
[373d4ee]	1272	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1273	t1 = time.time()
	1274	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1275	msg = "Fit completed on %s \n" % str_time
	1276	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1277	evt = StatusEvent(status=msg, info="info", type="stop")
	1278	wx.PostEvent(self.parent, evt)
[f76bf17]	1279
	1280	if batch_outputs is None:
	1281	batch_outputs = {}
	1282
	1283	# format batch_outputs
	1284	batch_outputs["Chi2"] = []
	1285	#Don't like these loops
	1286	# Need to create dictionary of all fitted parameters
	1287	# since the number of parameters can differ between each fit result
	1288	for list_res in result:
	1289	for res in list_res:
	1290	model, data = res.inputs[0]
	1291	if model is not None and hasattr(model, "model"):
	1292	model = model.model
	1293	#get all fittable parameters of the current model
	1294	for param in model.getParamList():
	1295	if param not in batch_outputs.keys():
	1296	batch_outputs[param] = []
	1297	for param in model.getDispParamList():
	1298	if not model.is_fittable(param) and \
	1299	param in batch_outputs.keys():
	1300	del batch_outputs[param]
	1301	# Add fitted parameters and their error
	1302	for param in res.param_list:
	1303	if param not in batch_outputs.keys():
	1304	batch_outputs[param] = []
	1305	err_param = "error on %s" % str(param)
	1306	if err_param not in batch_inputs.keys():
	1307	batch_inputs[err_param] = []
	1308	msg = ""
	1309	for list_res in result:
	1310	for res in list_res:
	1311	pid = res.fitter_id
	1312	model, data = res.inputs[0]
	1313	correct_result = False
	1314	if model is not None and hasattr(model, "model"):
	1315	model = model.model
	1316	if data is not None and hasattr(data, "sas_data"):
	1317	data = data.sas_data
	1318
	1319	is_data2d = issubclass(data.__class__, Data2D)
	1320	#check consistency of arrays
	1321	if not is_data2d:
	1322	if len(res.theory) == len(res.index[res.index]) and \
	1323	len(res.index) == len(data.y):
	1324	correct_result = True
	1325	else:
	1326	copy_data = deepcopy(data)
	1327	new_theory = copy_data.data
	1328	new_theory[res.index] = res.theory
[9a5097c]	1329	new_theory[res.index == False] = np.nan
[f76bf17]	1330	correct_result = True
	1331	#get all fittable parameters of the current model
	1332	param_list = model.getParamList()
	1333	for param in model.getDispParamList():
	1334	if not model.is_fittable(param) and \
	1335	param in param_list:
	1336	param_list.remove(param)
	1337	if not correct_result or res.fitness is None or \
[9a5097c]	1338	not np.isfinite(res.fitness) or \
[235f514]	1339	np.any(res.pvec is None) or not \
[9a5097c]	1340	np.all(np.isfinite(res.pvec)):
[f76bf17]	1341	data_name = str(None)
	1342	if data is not None:
	1343	data_name = str(data.name)
	1344	model_name = str(None)
	1345	if model is not None:
	1346	model_name = str(model.name)
	1347	msg += "Data %s and Model %s did not fit.\n" % (data_name,
	1348	model_name)
[9a5097c]	1349	ERROR = np.NAN
[f76bf17]	1350	cell = BatchCell()
	1351	cell.label = res.fitness
	1352	cell.value = res.fitness
	1353	batch_outputs["Chi2"].append(ERROR)
	1354	for param in param_list:
	1355	# save value of fixed parameters
	1356	if param not in res.param_list:
	1357	batch_outputs[str(param)].append(ERROR)
	1358	else:
	1359	#save only fitted values
	1360	batch_outputs[param].append(ERROR)
	1361	batch_inputs["error on %s" % str(param)].append(ERROR)
	1362	else:
[9a5097c]	1363	# TODO: Why sometimes res.pvec comes with np.float64?
[acf8e4a5]	1364	# probably from scipy lmfit
[9a5097c]	1365	if res.pvec.__class__ == np.float64:
[f76bf17]	1366	res.pvec = [res.pvec]
	1367
	1368	cell = BatchCell()
	1369	cell.label = res.fitness
	1370	cell.value = res.fitness
	1371	batch_outputs["Chi2"].append(cell)
	1372	# add parameters to batch_results
	1373	for param in param_list:
	1374	# save value of fixed parameters
	1375	if param not in res.param_list:
	1376	batch_outputs[str(param)].append(model.getParam(param))
	1377	else:
	1378	index = res.param_list.index(param)
	1379	#save only fitted values
	1380	batch_outputs[param].append(res.pvec[index])
	1381	if res.stderr is not None and \
	1382	len(res.stderr) == len(res.param_list):
	1383	item = res.stderr[index]
	1384	batch_inputs["error on %s" % param].append(item)
	1385	else:
	1386	batch_inputs["error on %s" % param].append('-')
	1387	model.setParam(param, res.pvec[index])
	1388	#fill the batch result with emtpy value if not in the current
	1389	#model
	1390	EMPTY = "-"
	1391	for key in batch_outputs.keys():
	1392	if key not in param_list and key not in ["Chi2", "Data"]:
	1393	batch_outputs[key].append(EMPTY)
	1394
	1395	self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs,
	1396	batch_outputs=batch_outputs)
	1397
	1398	cpage = self.fit_panel.get_page_by_id(pid)
	1399	cpage._on_fit_complete()
	1400	self.page_finder[pid][data.id].set_result(res)
	1401	fitproblem = self.page_finder[pid][data.id]
	1402	qmin, qmax = fitproblem.get_range()
	1403	plot_result = False
	1404	if correct_result:
	1405	if not is_data2d:
	1406	self._complete1D(x=data.x[res.index], y=res.theory, page_id=pid,
	1407	elapsed=None,
	1408	index=res.index, model=model,
	1409	weight=None, fid=data.id,
	1410	toggle_mode_on=False, state=None,
	1411	data=data, update_chisqr=False,
	1412	source='fit', plot_result=plot_result)
	1413	else:
	1414	self._complete2D(image=new_theory, data=data,
	1415	model=model,
	1416	page_id=pid, elapsed=None,
	1417	index=res.index,
	1418	qmin=qmin,
	1419	qmax=qmax, fid=data.id, weight=None,
	1420	toggle_mode_on=False, state=None,
	1421	update_chisqr=False,
	1422	source='fit', plot_result=plot_result)
	1423	self.on_set_batch_result(page_id=pid,
	1424	fid=data.id,
	1425	batch_outputs=batch_outputs,
	1426	batch_inputs=batch_inputs)
	1427
[934ce649]	1428	evt = StatusEvent(status=msg, error="info", type="stop")
	1429	wx.PostEvent(self.parent, evt)
[f76bf17]	1430	# Remove parameters that are not shown
	1431	cpage = self.fit_panel.get_page_by_id(uid)
	1432	tbatch_outputs = {}
	1433	shownkeystr = cpage.get_copy_params()
	1434	for key in batch_outputs.keys():
	1435	if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0:
	1436	tbatch_outputs[key] = batch_outputs[key]
	1437
	1438	wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs,
	1439	batch_inputs, self.sub_menu)
	1440
	1441	def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs):
	1442	"""
	1443	"""
	1444	pid = page_id
	1445	if fid not in self.page_finder[pid]:
	1446	return
	1447	fitproblem = self.page_finder[pid][fid]
	1448	index = self.page_finder[pid].nbr_residuals_computed - 1
	1449	residuals = fitproblem.get_residuals()
	1450	theory_data = fitproblem.get_theory_data()
	1451	data = fitproblem.get_fit_data()
	1452	model = fitproblem.get_model()
	1453	#fill batch result information
	1454	if "Data" not in batch_outputs.keys():
	1455	batch_outputs["Data"] = []
[d85c194]	1456	from sas.sasgui.guiframe.data_processor import BatchCell
[f76bf17]	1457	cell = BatchCell()
	1458	cell.label = data.name
	1459	cell.value = index
	1460
[7432acb]	1461	if theory_data is not None:
[f76bf17]	1462	#Suucessful fit
	1463	theory_data.id = wx.NewId()
	1464	theory_data.name = model.name + "[%s]" % str(data.name)
	1465	if issubclass(theory_data.__class__, Data2D):
	1466	group_id = wx.NewId()
	1467	theory_data.group_id = group_id
	1468	if group_id not in theory_data.list_group_id:
	1469	theory_data.list_group_id.append(group_id)
	1470
	1471	try:
	1472	# associate residuals plot
	1473	if issubclass(residuals.__class__, Data2D):
	1474	group_id = wx.NewId()
	1475	residuals.group_id = group_id
	1476	if group_id not in residuals.list_group_id:
	1477	residuals.list_group_id.append(group_id)
	1478	batch_outputs["Chi2"][index].object = [residuals]
	1479	except:
	1480	pass
	1481
	1482	cell.object = [data, theory_data]
	1483	batch_outputs["Data"].append(cell)
	1484	for key, value in data.meta_data.iteritems():
	1485	if key not in batch_inputs.keys():
	1486	batch_inputs[key] = []
	1487	#if key.lower().strip() != "loader":
	1488	batch_inputs[key].append(value)
	1489	param = "temperature"
	1490	if hasattr(data.sample, param):
	1491	if param not in batch_inputs.keys():
	1492	batch_inputs[param] = []
	1493	batch_inputs[param].append(data.sample.temperature)
	1494
	1495	def _fit_completed(self, result, page_id, batch_outputs,
	1496	batch_inputs=None, pars=None, elapsed=None):
	1497	"""
	1498	Display result of the fit on related panel(s).
	1499	:param result: list of object generated when fit ends
	1500	:param pars: list of names of parameters fitted
	1501	:param page_id: list of page ids which called fit function
	1502	:param elapsed: time spent at the fitting level
	1503	"""
	1504	t1 = time.time()
	1505	str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1))
	1506	msg = "Fit completed on %s \n" % str_time
	1507	msg += "Duration time: %s s.\n" % str(elapsed)
[934ce649]	1508	evt = StatusEvent(status=msg, info="info", type="stop")
	1509	wx.PostEvent(self.parent, evt)
[f76bf17]	1510	wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
[373d4ee]	1511	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1512	result = result[0]
	1513	self.fit_thread_list = {}
	1514	if page_id is None:
	1515	page_id = []
	1516	## fit more than 1 model at the same time
	1517	try:
	1518	index = 0
[aac161f1]	1519	# Update potential simfit page(s)
	1520	if self.sim_page is not None:
	1521	self.sim_page._on_fit_complete()
	1522	if self.batch_page:
	1523	self.batch_page._on_fit_complete()
	1524	# Update all fit pages
[f76bf17]	1525	for uid in page_id:
	1526	res = result[index]
[1a5d5f2]	1527	fit_msg = res.mesg
[f76bf17]	1528	if res.fitness is None or \
[9a5097c]	1529	not np.isfinite(res.fitness) or \
[235f514]	1530	np.any(res.pvec is None) or \
[9a5097c]	1531	not np.all(np.isfinite(res.pvec)):
[1a5d5f2]	1532	fit_msg += "\nFitting did not converge!!!"
[373d4ee]	1533	wx.CallAfter(self._update_fit_button, page_id)
[f76bf17]	1534	else:
	1535	#set the panel when fit result are float not list
[9a5097c]	1536	if res.pvec.__class__ == np.float64:
[f76bf17]	1537	pvec = [res.pvec]
	1538	else:
	1539	pvec = res.pvec
[9a5097c]	1540	if res.stderr.__class__ == np.float64:
[f76bf17]	1541	stderr = [res.stderr]
	1542	else:
	1543	stderr = res.stderr
	1544	cpage = self.fit_panel.get_page_by_id(uid)
	1545	# Make sure we got all results
	1546	#(CallAfter is important to MAC)
	1547	try:
[7432acb]	1548	#if res is not None:
[f76bf17]	1549	wx.CallAfter(cpage.onsetValues, res.fitness,
	1550	res.param_list,
	1551	pvec, stderr)
	1552	index += 1
	1553	wx.CallAfter(cpage._on_fit_complete)
	1554	except KeyboardInterrupt:
[1a5d5f2]	1555	fit_msg += "\nSingular point: Fitting stopped."
[f76bf17]	1556	except:
[1a5d5f2]	1557	fit_msg += "\nSingular point: Fitting error occurred."
	1558	if fit_msg:
	1559	evt = StatusEvent(status=fit_msg, info="warning", type="stop")
	1560	wx.PostEvent(self.parent, evt)
[f76bf17]	1561
	1562	except:
[e1442d4]	1563	msg = ("Fit completed but the following error occurred: %s"
	1564	% sys.exc_value)
	1565	#import traceback; msg = "\n".join((traceback.format_exc(), msg))
[934ce649]	1566	evt = StatusEvent(status=msg, info="warning", type="stop")
	1567	wx.PostEvent(self.parent, evt)
[f76bf17]	1568
	1569	def _update_fit_button(self, page_id):
	1570	"""
	1571	Update Fit button when fit stopped
	1572
	1573	: parameter page_id: fitpage where the button is
	1574	"""
	1575	if page_id.__class__.__name__ != 'list':
	1576	page_id = [page_id]
	1577	for uid in page_id:
	1578	page = self.fit_panel.get_page_by_id(uid)
	1579	page._on_fit_complete()
	1580
	1581	def _on_show_panel(self, event):
	1582	"""
	1583	"""
	1584	pass
	1585
	1586	def on_reset_batch_flag(self, event):
	1587	"""
	1588	Set batch_reset_flag
	1589	"""
	1590	event.Skip()
[235f514]	1591	if self.menu1 is None:
[f76bf17]	1592	return
	1593	menu_item = self.menu1.FindItemById(self.id_reset_flag)
	1594	flag = menu_item.IsChecked()
	1595	if not flag:
	1596	menu_item.Check(False)
	1597	self.batch_reset_flag = True
	1598	else:
	1599	menu_item.Check(True)
	1600	self.batch_reset_flag = False
	1601
	1602	## post a message to status bar
	1603	msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag)
[934ce649]	1604	wx.PostEvent(self.parent, StatusEvent(status=msg))
[f76bf17]	1605
	1606
	1607	def _on_slicer_event(self, event):
	1608	"""
	1609	Receive a panel as event and send it to guiframe
	1610
	1611	:param event: event containing a panel
	1612
	1613	"""
	1614	if event.panel is not None:
	1615	self.slicer_panels.append(event.panel)
	1616	# Set group ID if available
	1617	event_id = self.parent.popup_panel(event.panel)
	1618	event.panel.uid = event_id
	1619	self.mypanels.append(event.panel)
	1620
	1621	def _onclearslicer(self, event):
	1622	"""
	1623	Clear the boxslicer when close the panel associate with this slicer
	1624	"""
	1625	name = event.GetEventObject().frame.GetTitle()
	1626	for panel in self.slicer_panels:
	1627	if panel.window_caption == name:
	1628
	1629	for item in self.parent.panels:
	1630	if hasattr(self.parent.panels[item], "uid"):
	1631	if self.parent.panels[item].uid == panel.base.uid:
	1632	self.parent.panels[item].onClearSlicer(event)
	1633	#self.parent._mgr.Update()
	1634	break
	1635	break
	1636
	1637	def _on_model_panel(self, evt):
	1638	"""
	1639	react to model selection on any combo box or model menu.plot the model
	1640
	1641	:param evt: wx.combobox event
	1642
	1643	"""
	1644	model = evt.model
	1645	uid = evt.uid
	1646	qmin = evt.qmin
	1647	qmax = evt.qmax
	1648	caption = evt.caption
	1649	enable_smearer = evt.enable_smearer
[235f514]	1650	if model is None:
[f76bf17]	1651	return
	1652	if uid not in self.page_finder.keys():
	1653	return
	1654	# save the name containing the data name with the appropriate model
	1655	self.page_finder[uid].set_model(model)
	1656	self.page_finder[uid].enable_smearing(enable_smearer)
	1657	self.page_finder[uid].set_range(qmin=qmin, qmax=qmax)
	1658	self.page_finder[uid].set_fit_tab_caption(caption=caption)
	1659	if self.sim_page is not None and not self.batch_on:
	1660	self.sim_page.draw_page()
	1661	if self.batch_page is not None and self.batch_on:
	1662	self.batch_page.draw_page()
	1663
	1664	def _update1D(self, x, output):
	1665	"""
	1666	Update the output of plotting model 1D
	1667	"""
	1668	msg = "Plot updating ... "
	1669	wx.PostEvent(self.parent, StatusEvent(status=msg, type="update"))
	1670
[c807957]	1671	def create_theory_1D(self, x, y, page_id, model, data, state,
[804fefa]	1672	data_description, data_id, dy=None):
[c807957]	1673	"""
	1674	Create a theory object associate with an existing Data1D
	1675	and add it to the data manager.
	1676	@param x: x-values of the data
	1677	@param y: y_values of the data
	1678	@param page_id: fit page ID
	1679	@param model: model used for fitting
	1680	@param data: Data1D object to create the theory for
	1681	@param state: model state
	1682	@param data_description: title to use in the data manager
	1683	@param data_id: unique data ID
	1684	"""
	1685	new_plot = Data1D(x=x, y=y)
[6a0c75d1]	1686	if dy is None:
	1687	new_plot.is_data = False
[9a5097c]	1688	new_plot.dy = np.zeros(len(y))
[6a0c75d1]	1689	# If this is a theory curve, pick the proper symbol to make it a curve
	1690	new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM
	1691	else:
	1692	new_plot.is_data = True
	1693	new_plot.dy = dy
[804fefa]	1694	new_plot.interactive = True
	1695	new_plot.dx = None
	1696	new_plot.dxl = None
	1697	new_plot.dxw = None
[c807957]	1698	_yaxis, _yunit = data.get_yaxis()
	1699	_xaxis, _xunit = data.get_xaxis()
	1700	new_plot.title = data.name
	1701	new_plot.group_id = data.group_id
[235f514]	1702	if new_plot.group_id is None:
[c807957]	1703	new_plot.group_id = data.group_id
	1704	new_plot.id = data_id
	1705	# Find if this theory was already plotted and replace that plot given
	1706	# the same id
	1707	self.page_finder[page_id].get_theory_data(fid=data.id)
	1708
	1709	if data.is_data:
	1710	data_name = str(data.name)
	1711	else:
	1712	data_name = str(model.__class__.__name__)
	1713
	1714	new_plot.name = data_description + " [" + data_name + "]"
	1715	new_plot.xaxis(_xaxis, _xunit)
	1716	new_plot.yaxis(_yaxis, _yunit)
	1717	self.page_finder[page_id].set_theory_data(data=new_plot,
	1718	fid=data.id)
	1719	self.parent.update_theory(data_id=data.id, theory=new_plot,
	1720	state=state)
	1721	return new_plot
	1722
[f76bf17]	1723	def _complete1D(self, x, y, page_id, elapsed, index, model,
	1724	weight=None, fid=None,
	1725	toggle_mode_on=False, state=None,
	1726	data=None, update_chisqr=True,
[804fefa]	1727	source='model', plot_result=True,
	1728	unsmeared_model=None, unsmeared_data=None,
[ca4d985]	1729	unsmeared_error=None, sq_model=None, pq_model=None):
[f76bf17]	1730	"""
[c807957]	1731	Complete plotting 1D data
	1732	@param unsmeared_model: fit model, without smearing
[804fefa]	1733	@param unsmeared_data: data, rescaled to unsmeared model
[edbe974]	1734	@param unsmeared_error: data error, rescaled to unsmeared model
[f76bf17]	1735	"""
	1736	try:
[9a5097c]	1737	np.nan_to_num(y)
[c807957]	1738	new_plot = self.create_theory_1D(x, y, page_id, model, data, state,
	1739	data_description=model.name,
	1740	data_id=str(page_id) + " " + data.name)
	1741	if unsmeared_model is not None:
	1742	self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
	1743	data_description=model.name + " unsmeared",
	1744	data_id=str(page_id) + " " + data.name + " unsmeared")
[f76bf17]	1745
[286c757]	1746	if unsmeared_data is not None and unsmeared_error is not None:
	1747	self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
	1748	data_description="Data unsmeared",
	1749	data_id="Data " + data.name + " unsmeared",
	1750	dy=unsmeared_error)
[4c5098c]	1751	# Comment this out until we can get P*S models with correctly populated parameters
	1752	#if sq_model is not None and pq_model is not None:
	1753	# self.create_theory_1D(x, sq_model, page_id, model, data, state,
	1754	# data_description=model.name + " S(q)",
	1755	# data_id=str(page_id) + " " + data.name + " S(q)")
	1756	# self.create_theory_1D(x, pq_model, page_id, model, data, state,
	1757	# data_description=model.name + " P(q)",
	1758	# data_id=str(page_id) + " " + data.name + " P(q)")
[f76bf17]	1759
	1760	current_pg = self.fit_panel.get_page_by_id(page_id)
	1761	title = new_plot.title
	1762	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	1763	if not batch_on:
	1764	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1765	title=str(title)))
	1766	elif plot_result:
	1767	top_data_id = self.fit_panel.get_page_by_id(page_id).data.id
	1768	if data.id == top_data_id:
	1769	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1770	title=str(title)))
	1771	caption = current_pg.window_caption
	1772	self.page_finder[page_id].set_fit_tab_caption(caption=caption)
	1773
	1774	self.page_finder[page_id].set_theory_data(data=new_plot,
	1775	fid=data.id)
	1776	if toggle_mode_on:
	1777	wx.PostEvent(self.parent,
	1778	NewPlotEvent(group_id=str(page_id) + " Model2D",
	1779	action="Hide"))
	1780	else:
	1781	if update_chisqr:
	1782	wx.PostEvent(current_pg,
	1783	Chi2UpdateEvent(output=self._cal_chisqr(
	1784	data=data,
	1785	fid=fid,
	1786	weight=weight,
	1787	page_id=page_id,
	1788	index=index)))
	1789	else:
	1790	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1791	index=index, weight=weight)
	1792
	1793	msg = "Computation completed!"
	1794	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1795	except:
	1796	raise
	1797
[934ce649]	1798	def _calc_exception(self, etype, value, tb):
	1799	"""
	1800	Handle exception from calculator by posting it as an error.
	1801	"""
[c155a16]	1802	logger.error("".join(traceback.format_exception(etype, value, tb)))
[934ce649]	1803	msg = traceback.format_exception(etype, value, tb, limit=1)
	1804	evt = StatusEvent(status="".join(msg), type="stop", info="error")
	1805	wx.PostEvent(self.parent, evt)
	1806
[f76bf17]	1807	def _update2D(self, output, time=None):
	1808	"""
	1809	Update the output of plotting model
	1810	"""
[934ce649]	1811	msg = "Plot updating ... "
	1812	wx.PostEvent(self.parent, StatusEvent(msg, type="update"))
[f76bf17]	1813
	1814	def _complete2D(self, image, data, model, page_id, elapsed, index, qmin,
	1815	qmax, fid=None, weight=None, toggle_mode_on=False, state=None,
	1816	update_chisqr=True, source='model', plot_result=True):
	1817	"""
	1818	Complete get the result of modelthread and create model 2D
	1819	that can be plot.
	1820	"""
[9a5097c]	1821	np.nan_to_num(image)
[f76bf17]	1822	new_plot = Data2D(image=image, err_image=data.err_data)
	1823	new_plot.name = model.name + '2d'
	1824	new_plot.title = "Analytical model 2D "
	1825	new_plot.id = str(page_id) + " " + data.name
	1826	new_plot.group_id = str(page_id) + " Model2D"
	1827	new_plot.detector = data.detector
	1828	new_plot.source = data.source
	1829	new_plot.is_data = False
	1830	new_plot.qx_data = data.qx_data
	1831	new_plot.qy_data = data.qy_data
	1832	new_plot.q_data = data.q_data
	1833	new_plot.mask = data.mask
	1834	## plot boundaries
	1835	new_plot.ymin = data.ymin
	1836	new_plot.ymax = data.ymax
	1837	new_plot.xmin = data.xmin
	1838	new_plot.xmax = data.xmax
	1839	title = data.title
	1840
	1841	new_plot.is_data = False
	1842	if data.is_data:
	1843	data_name = str(data.name)
	1844	else:
	1845	data_name = str(model.__class__.__name__) + '2d'
	1846
	1847	if len(title) > 1:
	1848	new_plot.title = "Model2D for %s " % model.name + data_name
	1849	new_plot.name = model.name + " [" + \
	1850	data_name + "]"
	1851	theory_data = deepcopy(new_plot)
	1852
	1853	self.page_finder[page_id].set_theory_data(data=theory_data,
	1854	fid=data.id)
	1855	self.parent.update_theory(data_id=data.id,
	1856	theory=new_plot,
	1857	state=state)
	1858	current_pg = self.fit_panel.get_page_by_id(page_id)
	1859	title = new_plot.title
	1860	if not source == 'fit' and plot_result:
	1861	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
	1862	title=title))
	1863	if toggle_mode_on:
	1864	wx.PostEvent(self.parent,
	1865	NewPlotEvent(group_id=str(page_id) + " Model1D",
	1866	action="Hide"))
	1867	else:
	1868	# Chisqr in fitpage
	1869	if update_chisqr:
	1870	wx.PostEvent(current_pg,
	1871	Chi2UpdateEvent(output=self._cal_chisqr(data=data,
	1872	weight=weight,
	1873	fid=fid,
	1874	page_id=page_id,
	1875	index=index)))
	1876	else:
	1877	self._plot_residuals(page_id=page_id, data=data, fid=fid,
	1878	index=index, weight=weight)
	1879	msg = "Computation completed!"
	1880	wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop"))
	1881
	1882	def _draw_model2D(self, model, page_id, qmin,
	1883	qmax,
	1884	data=None, smearer=None,
	1885	description=None, enable2D=False,
	1886	state=None,
	1887	fid=None,
	1888	weight=None,
	1889	toggle_mode_on=False,
	1890	update_chisqr=True, source='model'):
	1891	"""
	1892	draw model in 2D
	1893
	1894	:param model: instance of the model to draw
	1895	:param description: the description of the model
	1896	:param enable2D: when True allows to draw model 2D
	1897	:param qmin: the minimum value to draw model 2D
	1898	:param qmax: the maximum value to draw model 2D
	1899	:param qstep: the number of division of Qx and Qy of the model to draw
	1900
	1901	"""
	1902	if not enable2D:
	1903	return None
	1904	try:
	1905	from model_thread import Calc2D
	1906	## If a thread is already started, stop it
	1907	if (self.calc_2D is not None) and self.calc_2D.isrunning():
	1908	self.calc_2D.stop()
	1909	## stop just raises a flag to tell the thread to kill
	1910	## itself -- see the fix in Calc1D implemented to fix
	1911	## an actual problem. Seems the fix should also go here
	1912	## and may be the cause of other noted instabilities
	1913	##
	1914	## -PDB August 12, 2014
	1915	while self.calc_2D.isrunning():
	1916	time.sleep(0.1)
	1917	self.calc_2D = Calc2D(model=model,
[934ce649]	1918	data=data,
	1919	page_id=page_id,
	1920	smearer=smearer,
	1921	qmin=qmin,
	1922	qmax=qmax,
	1923	weight=weight,
	1924	fid=fid,
	1925	toggle_mode_on=toggle_mode_on,
	1926	state=state,
	1927	completefn=self._complete2D,
	1928	update_chisqr=update_chisqr,
	1929	exception_handler=self._calc_exception,
	1930	source=source)
[f76bf17]	1931	self.calc_2D.queue()
	1932	except:
	1933	raise
	1934
	1935	def _draw_model1D(self, model, page_id, data,
	1936	qmin, qmax, smearer=None,
	1937	state=None,
	1938	weight=None,
	1939	fid=None,
	1940	toggle_mode_on=False, update_chisqr=True, source='model',
	1941	enable1D=True):
	1942	"""
	1943	Draw model 1D from loaded data1D
	1944
	1945	:param data: loaded data
	1946	:param model: the model to plot
	1947
	1948	"""
	1949	if not enable1D:
	1950	return
	1951	try:
	1952	from model_thread import Calc1D
	1953	## If a thread is already started, stop it
	1954	if (self.calc_1D is not None) and self.calc_1D.isrunning():
	1955	self.calc_1D.stop()
	1956	## stop just raises the flag -- the thread is supposed to
	1957	## then kill itself but cannot. Paul Kienzle came up with
	1958	## this fix to prevent threads from stepping on each other
[ddbac66]	1959	## which was causing a simple custom plugin model to crash
	1960	##Sasview.
[f76bf17]	1961	## We still don't know why the fit sometimes lauched a second
	1962	## thread -- something which should also be investigated.
	1963	## The thread approach was implemented in order to be able
	1964	## to lauch a computation in a separate thread from the GUI so
	1965	## that the GUI can still respond to user input including
	1966	## a request to stop the computation.
	1967	## It seems thus that the whole thread approach used here
	1968	## May need rethinking
	1969	##
[d99f008]	1970	## -PDB August 12, 2014
[f76bf17]	1971	while self.calc_1D.isrunning():
	1972	time.sleep(0.1)
	1973	self.calc_1D = Calc1D(data=data,
	1974	model=model,
	1975	page_id=page_id,
	1976	qmin=qmin,
	1977	qmax=qmax,
	1978	smearer=smearer,
	1979	state=state,
	1980	weight=weight,
	1981	fid=fid,
	1982	toggle_mode_on=toggle_mode_on,
	1983	completefn=self._complete1D,
	1984	#updatefn = self._update1D,
	1985	update_chisqr=update_chisqr,
[934ce649]	1986	exception_handler=self._calc_exception,
[f76bf17]	1987	source=source)
	1988	self.calc_1D.queue()
	1989	except:
	1990	msg = " Error occurred when drawing %s Model 1D: " % model.name
	1991	msg += " %s" % sys.exc_value
	1992	wx.PostEvent(self.parent, StatusEvent(status=msg))
	1993
	1994	def _cal_chisqr(self, page_id, data, weight, fid=None, index=None):
	1995	"""
	1996	Get handy Chisqr using the output from draw1D and 2D,
	1997	instead of calling expansive CalcChisqr in guithread
	1998	"""
	1999	try:
	2000	data_copy = deepcopy(data)
	2001	except:
	2002	return
	2003	# default chisqr
	2004	chisqr = None
	2005	#to compute chisq make sure data has valid data
[235f514]	2006	# return None if data is None
	2007	if not check_data_validity(data_copy) or data_copy is None:
[f76bf17]	2008	return chisqr
	2009
	2010	# Get data: data I, theory I, and data dI in order
	2011	if data_copy.__class__.__name__ == "Data2D":
[235f514]	2012	if index is None:
[9a5097c]	2013	index = np.ones(len(data_copy.data), dtype=bool)
[7432acb]	2014	if weight is not None:
[f76bf17]	2015	data_copy.err_data = weight
	2016	# get rid of zero error points
	2017	index = index & (data_copy.err_data != 0)
[9a5097c]	2018	index = index & (np.isfinite(data_copy.data))
[f76bf17]	2019	fn = data_copy.data[index]
	2020	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[235f514]	2021	if theory_data is None:
[f76bf17]	2022	return chisqr
	2023	gn = theory_data.data[index]
	2024	en = data_copy.err_data[index]
	2025	else:
	2026	# 1 d theory from model_thread is only in the range of index
[235f514]	2027	if index is None:
[9a5097c]	2028	index = np.ones(len(data_copy.y), dtype=bool)
[7432acb]	2029	if weight is not None:
[f76bf17]	2030	data_copy.dy = weight
[235f514]	2031	if data_copy.dy is None or data_copy.dy == []:
[9a5097c]	2032	dy = np.ones(len(data_copy.y))
[f76bf17]	2033	else:
[acf8e4a5]	2034	## Set consistently w/AbstractFitengine:
[f76bf17]	2035	# But this should be corrected later.
	2036	dy = deepcopy(data_copy.dy)
	2037	dy[dy == 0] = 1
	2038	fn = data_copy.y[index]
	2039
	2040	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
[235f514]	2041	if theory_data is None:
[f76bf17]	2042	return chisqr
	2043	gn = theory_data.y
	2044	en = dy[index]
	2045
	2046	# residual
	2047	try:
	2048	res = (fn - gn) / en
	2049	except ValueError:
[9c3d784]	2050	print("Unmatch lengths %s, %s, %s" % (len(fn), len(gn), len(en)))
[f76bf17]	2051	return
	2052
[9a5097c]	2053	residuals = res[np.isfinite(res)]
[f76bf17]	2054	# get chisqr only w/finite
[9a5097c]	2055	chisqr = np.average(residuals * residuals)
[f76bf17]	2056
	2057	self._plot_residuals(page_id=page_id, data=data_copy,
	2058	fid=fid,
	2059	weight=weight, index=index)
	2060
	2061	return chisqr
	2062
	2063	def _plot_residuals(self, page_id, weight, fid=None,
	2064	data=None, index=None):
	2065	"""
	2066	Plot the residuals
	2067
	2068	:param data: data
	2069	:param index: index array (bool)
	2070	: Note: this is different from the residuals in cal_chisqr()
	2071	"""
	2072	data_copy = deepcopy(data)
	2073	# Get data: data I, theory I, and data dI in order
	2074	if data_copy.__class__.__name__ == "Data2D":
	2075	# build residuals
	2076	residuals = Data2D()
	2077	#residuals.copy_from_datainfo(data)
	2078	# Not for trunk the line below, instead use the line above
	2079	data_copy.clone_without_data(len(data_copy.data), residuals)
	2080	residuals.data = None
	2081	fn = data_copy.data
	2082	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2083	gn = theory_data.data
[235f514]	2084	if weight is None:
[f76bf17]	2085	en = data_copy.err_data
	2086	else:
	2087	en = weight
	2088	residuals.data = (fn - gn) / en
	2089	residuals.qx_data = data_copy.qx_data
	2090	residuals.qy_data = data_copy.qy_data
	2091	residuals.q_data = data_copy.q_data
[9a5097c]	2092	residuals.err_data = np.ones(len(residuals.data))
[f76bf17]	2093	residuals.xmin = min(residuals.qx_data)
	2094	residuals.xmax = max(residuals.qx_data)
	2095	residuals.ymin = min(residuals.qy_data)
	2096	residuals.ymax = max(residuals.qy_data)
	2097	residuals.q_data = data_copy.q_data
	2098	residuals.mask = data_copy.mask
	2099	residuals.scale = 'linear'
	2100	# check the lengths
	2101	if len(residuals.data) != len(residuals.q_data):
	2102	return
	2103	else:
	2104	# 1 d theory from model_thread is only in the range of index
[235f514]	2105	if data_copy.dy is None or data_copy.dy == []:
[9a5097c]	2106	dy = np.ones(len(data_copy.y))
[f76bf17]	2107	else:
[235f514]	2108	if weight is None:
[9a5097c]	2109	dy = np.ones(len(data_copy.y))
[f76bf17]	2110	## Set consitently w/AbstractFitengine:
	2111	## But this should be corrected later.
	2112	else:
	2113	dy = weight
	2114	dy[dy == 0] = 1
	2115	fn = data_copy.y[index]
	2116	theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id)
	2117	gn = theory_data.y
	2118	en = dy[index]
	2119	# build residuals
	2120	residuals = Data1D()
	2121	try:
	2122	residuals.y = (fn - gn) / en
	2123	except:
	2124	msg = "ResidualPlot Error: different # of data points in theory"
	2125	wx.PostEvent(self.parent, StatusEvent(status=msg, info="error"))
	2126	residuals.y = (fn - gn[index]) / en
	2127	residuals.x = data_copy.x[index]
[9a5097c]	2128	residuals.dy = np.ones(len(residuals.y))
[f76bf17]	2129	residuals.dx = None
	2130	residuals.dxl = None
	2131	residuals.dxw = None
	2132	residuals.ytransform = 'y'
	2133	# For latter scale changes
	2134	residuals.xaxis('\\rm{Q} ', 'A^{-1}')
	2135	residuals.yaxis('\\rm{Residuals} ', 'normalized')
	2136	theory_name = str(theory_data.name.split()[0])
	2137	new_plot = residuals
	2138	new_plot.name = "Residuals for " + str(theory_name) + "[" + \
	2139	str(data.name) + "]"
	2140	## allow to highlight data when plotted
	2141	new_plot.interactive = True
	2142	## when 2 data have the same id override the 1 st plotted
	2143	new_plot.id = "res" + str(data_copy.id) + str(theory_name)
	2144	##group_id specify on which panel to plot this data
	2145	group_id = self.page_finder[page_id].get_graph_id()
[235f514]	2146	if group_id is None:
[f76bf17]	2147	group_id = data.group_id
	2148	new_plot.group_id = "res" + str(group_id)
	2149	#new_plot.is_data = True
	2150	##post data to plot
	2151	title = new_plot.name
	2152	self.page_finder[page_id].set_residuals(residuals=new_plot,
	2153	fid=data.id)
	2154	self.parent.update_theory(data_id=data.id, theory=new_plot)
	2155	batch_on = self.fit_panel.get_page_by_id(page_id).batch_on
	2156	if not batch_on:
	2157	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title))

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SasView

source: sasview/src/sas/sasgui/perspectives/fitting/fitting.py @ c57ecca

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