fitting.py @ ed2ea6a

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload

Last change on this file since ed2ea6a was ed2ea6a, checked in by Gervaise Alina <gervyh@…>, 15 years ago
print statement removed
Property mode set to `100644`
File size: 42.4 KB

Rev	Line
[c98b1d5]	1	import re
[d89f09b]	2	import sys, wx, logging
[0550752]	3	import string, numpy, math
[d89f09b]	4
[3b19ac9]	5	from copy import deepcopy
[ed2ea6a]	6	from danse.common.plottools.plottables import Theory1D,Data2D
[d89f09b]	7	from sans.guicomm.events import NewPlotEvent, StatusEvent
[ed2ea6a]	8	from sans.guicomm.events import EVT_SLICER_PANEL,ERR_DATA
[568e1a5]	9
[ed2ea6a]	10	from sans.fit.AbstractFitEngine import Model
[d89f09b]	11	from fitproblem import FitProblem
	12	from fitpanel import FitPanel
[e9b4cc4]	13	from fit_thread import FitThread
[ed2ea6a]	14	import models
[8566c05]	15	import fitpage1D
[ed2ea6a]	16
[d250f7d]	17	DEFAULT_BEAM = 0.005
[cfc68540]	18	DEFAULT_QMIN = 0.0
[fd25fb0]	19	DEFAULT_QMAX = 0.1
[7b758fd]	20	DEFAULT_NPTS = 50
[e9b4cc4]	21
[d89f09b]	22	class Plugin:
	23	"""
[dabb633]	24	Fitting plugin is used to perform fit
[d89f09b]	25	"""
	26	def __init__(self):
	27	## Plug-in name
	28	self.sub_menu = "Fitting"
	29
	30	## Reference to the parent window
	31	self.parent = None
[ed2ea6a]	32	#Provide list of models existing in the application
[d89f09b]	33	self.menu_mng = models.ModelManager()
	34	## List of panels for the simulation perspective (names)
	35	self.perspective = []
[ed2ea6a]	36	#list of panel to send to guiframe
[568e1a5]	37	self.mypanels=[]
[ed2ea6a]	38	# reference to the current running thread
[e9b4cc4]	39	self.calc_thread = None
[d89f09b]	40	# Start with a good default
	41	self.elapsed = 0.022
[ed2ea6a]	42	# the type of optimizer selected, park or scipy
[d89f09b]	43	self.fitter = None
[ed2ea6a]	44	#Flag to let the plug-in know that it is running stand alone
[d89f09b]	45	self.standalone=True
	46	## Fit engine
[e9e914f]	47	self._fit_engine = 'scipy'
[ed2ea6a]	48	#List of selected data
[2a8fac1]	49	self.selected_data_list=[]
[d89f09b]	50	# Log startup
	51	logging.info("Fitting plug-in started")
[32d802f]	52	# model 2D view
	53	self.model2D_id=None
[ed2ea6a]	54	#keep reference of the simultaneous fit page
[51d47b5]	55	self.sim_page=None
[ed2ea6a]	56	#dictionary containing data name and error on dy of that data
[2a8fac1]	57	self.err_dy={}
	58
	59	def _on_data_error(self, event):
[ed2ea6a]	60	"""
	61	receives and event from plotting plu-gins to store the data name and
	62	their errors of y coordinates for 1Data hide and show error
	63	"""
[2a8fac1]	64	self.err_dy= event.err_dy
	65
[d89f09b]	66	def populate_menu(self, id, owner):
	67	"""
	68	Create a menu for the Fitting plug-in
	69	@param id: id to create a menu
	70	@param owner: owner of menu
	71	@ return : list of information to populate the main menu
	72	"""
	73	#Menu for fitting
	74	self.menu1 = wx.Menu()
[51d47b5]	75	id1 = wx.NewId()
	76	self.menu1.Append(id1, '&Simultaneous')
	77	wx.EVT_MENU(owner, id1, self.on_add_sim_page)
[b5c537f]	78	#Set park engine
[3b19ac9]	79	id3 = wx.NewId()
[e9e914f]	80	self.menu1.AppendCheckItem(id3, "park")
[3b19ac9]	81	wx.EVT_MENU(owner, id3, self._onset_engine)
[d89f09b]	82
	83	#menu for model
	84	menu2 = wx.Menu()
[f39511b]	85
[d89f09b]	86	self.menu_mng.populate_menu(menu2, owner)
	87	id2 = wx.NewId()
	88	owner.Bind(models.EVT_MODEL,self._on_model_menu)
[51d47b5]	89
[d89f09b]	90	self.fit_panel.set_owner(owner)
	91	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
[bcd6d51]	92	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
[51d47b5]	93
[3b19ac9]	94	#create menubar items
[d89f09b]	95	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
	96
[51d47b5]	97	def on_add_sim_page(self, event):
[ed2ea6a]	98	"""
	99	"""
[51d47b5]	100	self.sim_page= self.fit_panel.add_sim_page()
	101	self.sim_page.add_model(self.page_finder)
	102
	103
[d89f09b]	104	def help(self, evt):
	105	"""
	106	Show a general help dialog.
	107	TODO: replace the text with a nice image
	108	"""
[2268d10]	109	#from helpDialog import HelpWindow
	110	#dialog = HelpWindow(None, -1, 'HelpWindow')
	111	#if dialog.ShowModal() == wx.ID_OK:
	112	# pass
	113	#dialog.Destroy()
	114	from helpPanel import HelpWindow
	115	frame = HelpWindow(None, -1, 'HelpWindow')
	116	frame.Show(True)
	117
	118
[d89f09b]	119	def get_context_menu(self, graph=None):
	120	"""
	121	Get the context menu items available for P(r)
	122	@param graph: the Graph object to which we attach the context menu
	123	@return: a list of menu items with call-back function
	124	"""
	125	self.graph=graph
	126	for item in graph.plottables:
[693ab78]	127	if item.__class__.__name__ is "Data2D":
[2dbb681]	128	return [["Select data for Fitting",\
	129	"Dialog with fitting parameters ", self._onSelect]]
[6f73a08]	130	else:
[2a8fac1]	131	#if item.name==graph.selected_plottable and\
	132	# item.__class__.__name__ is "Data1D":
	133	if item.name==graph.selected_plottable :
[2dbb681]	134	return [["Select data for Fitting", \
	135	"Dialog with fitting parameters ", self._onSelect]]
[d89f09b]	136	return []
	137
	138
	139	def get_panels(self, parent):
	140	"""
	141	Create and return a list of panel objects
	142	"""
	143	self.parent = parent
	144	# Creation of the fit panel
	145	self.fit_panel = FitPanel(self.parent, -1)
	146	#Set the manager forthe main panel
	147	self.fit_panel.set_manager(self)
	148	# List of windows used for the perspective
	149	self.perspective = []
	150	self.perspective.append(self.fit_panel.window_name)
	151	# take care of saving data, model and page associated with each other
[3b19ac9]	152	self.page_finder = {}
	153	#index number to create random model name
	154	self.index_model = 0
[264df67]	155	self.index_theory= 0
[32673ac]	156	self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event)
[2a8fac1]	157	self.parent.Bind( ERR_DATA, self._on_data_error)
[32d802f]	158
[3b19ac9]	159	#create the fitting panel
[568e1a5]	160	#return [self.fit_panel]
[32673ac]	161
[568e1a5]	162	self.mypanels.append(self.fit_panel)
	163	return self.mypanels
[ed2ea6a]	164
[888e62c]	165
[568e1a5]	166	def _on_slicer_event(self, event):
[ed2ea6a]	167	"""
	168	"""
	169	#print "fitting:slicer event ", event.panel
[888e62c]	170	if event.panel!=None:
	171	new_panel = event.panel
	172	# Set group ID if available
	173	event_id = self.parent.popup_panel(new_panel)
	174	self.menu1.Append(event_id, new_panel.window_caption,
	175	"Show %s plot panel" % new_panel.window_caption)
	176	# Set UID to allow us to reference the panel later
	177	new_panel.uid = event_id
	178	new_panel
	179	self.mypanels.append(new_panel)
[ed2ea6a]	180	return
	181
	182
[d23544dc]	183	def _on_show_panel(self, event):
	184	print "_on_show_panel: fitting"
[d89f09b]	185
[ed2ea6a]	186
[d89f09b]	187	def get_perspective(self):
	188	"""
	189	Get the list of panel names for this perspective
	190	"""
	191	return self.perspective
	192
	193
	194	def on_perspective(self, event):
	195	"""
	196	Call back function for the perspective menu item.
	197	We notify the parent window that the perspective
	198	has changed.
	199	"""
	200	self.parent.set_perspective(self.perspective)
	201
	202
	203	def post_init(self):
	204	"""
	205	Post initialization call back to close the loose ends
	206	[Somehow openGL needs this call]
	207	"""
	208	self.parent.set_perspective(self.perspective)
[cce33b3]	209
[ed2ea6a]	210
[cce33b3]	211	def copy_data(self, item, dy):
[ed2ea6a]	212	"""
	213	"""
[cce33b3]	214	detector=None
	215	source=None
	216	dxl=None
	217	dxw=None
	218	if hasattr(item, "dxl"):
	219	dxl = item.dxl
	220	if hasattr(item, "dxw"):
	221	dxw = item.dxw
	222	if hasattr(item, "detector"):
	223	detector =item.detector
	224	if hasattr(item, "source"):
	225	source =item.source
	226	from sans.guiframe import dataFitting
	227	data= dataFitting.Data1D(x=item.x, y=item.y, dy=dy, dxl=dxl, dxw=dxw)
	228	data.name=item.name
	229	data.detector=detector
	230	data.source= source
	231	return data
	232
[ed2ea6a]	233
[d89f09b]	234	def _onSelect(self,event):
	235	"""
	236	when Select data to fit a new page is created .Its reference is
	237	added to self.page_finder
	238	"""
	239	self.panel = event.GetEventObject()
	240	for item in self.panel.graph.plottables:
[2a8fac1]	241	if item.name == self.panel.graph.selected_plottable:
	242	if len(self.err_dy)>0:
	243	if item.name in self.err_dy.iterkeys():
	244	dy= self.err_dy[item.name]
[cce33b3]	245	data= self.copy_data(item, dy)
	246	else:
[6dc6845]	247	data= item
[2a8fac1]	248	else:
	249	if item.dy==None:
	250	dy= numpy.zeros(len(item.y))
	251	dy[dy==0]=1
[cce33b3]	252	data= self.copy_data(item, dy)
[2a8fac1]	253	else:
[949c7b2]	254	data= item
[9e50026]	255	else:
	256	data= item
[cce33b3]	257
	258
[693ab78]	259	if item.name == self.panel.graph.selected_plottable or\
	260	item.__class__.__name__ is "Data2D":
[3b19ac9]	261	#find a name for the page created for notebook
[ed2ea6a]	262	#print "fitting", self.panel
[d89f09b]	263	try:
[d0eac66]	264
[2a8fac1]	265	#page = self.fit_panel.add_fit_page(item)
	266	page = self.fit_panel.add_fit_page(data)
[ef8b580]	267	#page, model_name = self.fit_panel.add_fit_page(item)
[3b19ac9]	268	# add data associated to the page created
[d0eac66]	269
	270	if page !=None:
[6f73a08]	271	#create a fitproblem storing all link to data,model,page creation
	272	self.page_finder[page]= FitProblem()
[ef8b580]	273	#self.page_finder[page].save_model_name(model_name)
[2a8fac1]	274	self.page_finder[page].add_plotted_data(item)
	275	self.page_finder[page].add_fit_data(data)
	276
	277
[d0eac66]	278	wx.PostEvent(self.parent, StatusEvent(status="Page Created"))
	279	else:
	280	wx.PostEvent(self.parent, StatusEvent(status="Page was already Created"))
[d89f09b]	281	except:
[ed2ea6a]	282	#raise
	283	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
	284	%sys.exc_value))
	285	return
[2a8fac1]	286
	287
[948add7]	288	def schedule_for_fit(self,value=0,fitproblem =None):
	289	"""
	290
	291	"""
	292	if fitproblem !=None:
	293	fitproblem.schedule_tofit(value)
	294	else:
	295	current_pg=self.fit_panel.get_current_page()
	296	for page, val in self.page_finder.iteritems():
	297	if page ==current_pg :
	298	val.schedule_tofit(value)
	299	break
	300
[d89f09b]	301
	302	def get_page_finder(self):
	303	""" @return self.page_finder used also by simfitpage.py"""
	304	return self.page_finder
	305
	306
[3b19ac9]	307	def set_page_finder(self,modelname,names,values):
[d89f09b]	308	"""
	309	Used by simfitpage.py to reset a parameter given the string constrainst.
	310	@param modelname: the name ot the model for with the parameter has to reset
	311	@param value: can be a string in this case.
[3b19ac9]	312	@param names: the paramter name
[d89f09b]	313	@note: expecting park used for fit.
	314	"""
[51d47b5]	315	#sim_page=self.fit_panel.GetPage(1)
	316	sim_page= self.sim_page
[d89f09b]	317	for page, value in self.page_finder.iteritems():
	318	if page != sim_page:
	319	list=value.get_model()
	320	model=list[0]
[ed2ea6a]	321	#print "fitting",model.name,modelname, values
[d89f09b]	322	if model.name== modelname:
[3b19ac9]	323	value.set_model_param(names,values)
[d89f09b]	324	break
	325
	326
	327
	328	def split_string(self,item):
	329	"""
[3b19ac9]	330	receive a word containing dot and split it. used to split parameterset
	331	name into model name and parameter name example:
	332	paramaterset (item) = M1.A
	333	@return model_name =M1 , parameter name =A
[d89f09b]	334	"""
	335	if string.find(item,".")!=-1:
	336	param_names= re.split("\.",item)
	337	model_name=param_names[0]
	338	param_name=param_names[1]
	339	return model_name,param_name
	340
[e9b4cc4]	341
[3215d32]	342	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed=None,
[4af20b4]	343	ymin=None, ymax=None, xmin=None, xmax=None):
[d89f09b]	344	"""
[3b19ac9]	345	Display fit result on one page of the notebook.
	346	@param result: result of fit
	347	@param pars: list of names of parameters fitted
	348	@param current_pg: the page where information will be displayed
	349	@param qmin: the minimum value of x to replot the model
	350	@param qmax: the maximum value of x to replot model
[d89f09b]	351
	352	"""
[f343069]	353
[89032bf]	354	#print "single fit ", pars,result.pvec,result.stderr,result.fitness
[f343069]	355	wx.PostEvent(self.parent, StatusEvent(status="Single fit \
[3215d32]	356	complete " , type="stop"))
[d89f09b]	357	try:
	358	for page, value in self.page_finder.iteritems():
[948add7]	359	if page==cpage :
[6f73a08]	360	#fitdata = value.get_data()
[d89f09b]	361	list = value.get_model()
	362	model= list[0]
	363	break
	364	i = 0
[8f83c90d]	365
[d89f09b]	366	for name in pars:
	367	if result.pvec.__class__==numpy.float64:
[1b07935d]	368	model.setParam(name,result.pvec)
[d89f09b]	369	else:
[ed2ea6a]	370	#print "fitting result : chisqr",result.fitness
	371	#print "fitting result : pvec",result.pvec
	372	#print "fitting result : stderr",result.stderr
[e9e914f]	373	#model.setParam(name,result.pvec[i])
	374	# print "fitting: single fit", name, result.pvec[i]
[d89f09b]	375	i += 1
[e9e914f]	376
[8f83c90d]	377
[948add7]	378	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
[ef8b580]	379	#title="Fitted model 2D "
[4af20b4]	380	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,
	381	ymin=ymin, ymax=ymax,
[ef8b580]	382	xmin=xmin, xmax=xmax,title=None)
[d89f09b]	383	except:
[ed2ea6a]	384	#raise
	385	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
	386	return
	387
[d89f09b]	388
[39a365d]	389	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None,
	390	xmin=None, xmax=None, ymin=None, ymax=None):
[d89f09b]	391	"""
	392	Parameter estimation completed,
	393	display the results to the user
	394	@param alpha: estimated best alpha
	395	@param elapsed: computation time
	396	"""
[3215d32]	397	if cpage!=None:
	398	self._single_fit_completed(result=result,pars=pars,cpage=cpage,
	399	qmin=qmin,qmax=qmax,
	400	ymin=ymin, ymax=ymax, xmin=xmin, xmax=xmax)
	401	return
	402	else:
	403	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous fit \
	404	complete ", type="stop"))
[ed2ea6a]	405	#print "result",cpage,str(result),result.parameters,result.fitness,result.stderr
[d89f09b]	406
[3215d32]	407	try:
	408	for page, value in self.page_finder.iteritems():
	409	if value.get_scheduled()==1:
	410	#fitdata = value.get_data()
	411	list = value.get_model()
	412	model= list[0]
	413
	414	small_out = []
	415	small_cov = []
	416	i = 0
	417	#Separate result in to data corresponding to each page
	418	for p in result.parameters:
	419	model_name,param_name = self.split_string(p.name)
	420	if model.name == model_name:
	421	small_out.append(p.value )
[7ffe36b]	422	if p.stderr==None:
	423	p.stderr=numpy.nan
[3215d32]	424	small_cov.append(p.stderr)
	425	model.setParam(param_name,p.value)
	426	# Display result on each page
[7ffe36b]	427	#print "mmmm",p.value,p.stderr
[3215d32]	428	page.onsetValues(result.fitness, small_out,small_cov)
[7ffe36b]	429	#print "out,err",small_out,small_cov
[3215d32]	430	#Replot model
	431	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,
	432	xmin=xmin, xmax=xmax,
	433	ymin=ymin, ymax=ymax)
	434	except:
	435	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
[c62dbbe]	436	return
[ed2ea6a]	437
	438
[51d47b5]	439	def stop_fit(self):
[ed2ea6a]	440	"""
	441	"""
[51d47b5]	442	if self.calc_thread != None and self.calc_thread.isrunning():
[f3113c9]	443	#self.calc_thread.interrupt()
	444	self.calc_thread.stop()
	445	wx.PostEvent(self.parent, StatusEvent(status="Fitting \
[ed2ea6a]	446	is cancelled" , type="stop"))
	447
	448
[4af20b4]	449	def _on_single_fit(self,id=None,qmin=None, qmax=None,ymin=None, ymax=None,xmin=None,xmax=None):
[d89f09b]	450	"""
	451	perform fit for the current page and return chisqr,out and cov
	452	@param engineName: type of fit to be performed
	453	@param id: unique id corresponding to a fit problem(model, set of data)
	454	@param model: model to fit
	455
	456	"""
[948add7]	457	#print "in single fitting"
[d89f09b]	458	#set an engine to perform fit
	459	from sans.fit.Fitting import Fit
	460	self.fitter= Fit(self._fit_engine)
[3b19ac9]	461	#Setting an id to store model and data in fit engine
[3215d32]	462	self.fit_id= 0
[202a7dc3]	463	if id!=None:
	464	self.fit_id= id
	465
[948add7]	466	page_fitted=None
	467	fit_problem=None
[3b19ac9]	468	#Get information (model , data) related to the page on
	469	#with the fit will be perform
[202a7dc3]	470	current_pg=self.fit_panel.get_current_page()
[51d47b5]	471	#simul_pg=self.fit_panel.GetPage(1 )
	472	simul_pg=self.sim_page
[14c707f]	473	pars=[]
[202a7dc3]	474	#for page, value in self.page_finder.iteritems():
	475	if current_pg!= simul_pg:
	476	# if value.get_scheduled() ==1 :
	477	value = self.page_finder[current_pg]
[2a8fac1]	478	metadata = value.get_fit_data()
[202a7dc3]	479	list = value.get_model()
	480	model = list[0]
	481	smearer= value.get_smearer()
[8f83c90d]	482
	483
[202a7dc3]	484	#Create list of parameters for fitting used
[e9b4cc4]	485
[202a7dc3]	486	templist=[]
	487	try:
	488	#templist=current_pg.get_param_list()
	489	templist=current_pg.get_param_list()
	490	for element in templist:
	491	pars.append(str(element[0].GetLabelText()))
	492	pars.sort()
	493	#Do the single fit
	494	self.fitter.set_model(Model(model), self.fit_id, pars)
[51d47b5]	495	if self._fit_engine=="scipy":
	496	wx.PostEvent(self.parent, StatusEvent(status="Parameters range will\
	497	be ignored for %s fitting engine"%str(self._fit_engine)))
[202a7dc3]	498	#print "args...:",metadata,self.fit_id,smearer,qmin,qmax,ymin,ymax
[8f83c90d]	499	dy=[]
	500	x=[]
	501	y=[]
[6e659ae8]	502	if metadata.__class__ in ["Data1D","Theory1D"]:
	503	for i in range(len(metadata.dy)):
	504	if metadata.dy[i] !=0:
	505	dy.append(metadata.dy[i])
	506	x.append(metadata.x[i])
	507	y.append(metadata.y[i])
	508	if len(dy)>0:
	509	metadata.dy=numpy.zeros(len(dy))
	510	metadata.dy=dy
	511	metadata.y=numpy.zeros(len(y))
	512	metadata.y=y
	513	metadata.x=numpy.zeros(len(x))
	514	metadata.x=x
[202a7dc3]	515	self.fitter.set_data(data=metadata,Uid=self.fit_id,
	516	smearer=smearer,qmin= qmin,qmax=qmax,
	517	ymin=ymin,ymax=ymax)
	518	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
	519	page_fitted=current_pg
[3215d32]	520	#self.fit_id+=1
[202a7dc3]	521	#self.schedule_for_fit( 0,value)
	522	except:
[3215d32]	523	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
[202a7dc3]	524	return
	525	# make sure to keep an alphabetic order
	526	#of parameter names in the list
	527	try:
	528	# If a thread is already started, stop it
	529	if self.calc_thread != None and self.calc_thread.isrunning():
	530	self.calc_thread.stop()
	531
	532	self.calc_thread =FitThread(parent =self.parent,
	533	fn= self.fitter,
	534	pars= pars,
	535	cpage= page_fitted,
	536	qmin=qmin,
	537	qmax=qmax,
	538
	539	completefn=self._single_fit_completed,
	540	updatefn=None)
	541	self.calc_thread.queue()
	542	self.calc_thread.ready(2.5)
[ed2ea6a]	543
[202a7dc3]	544	except:
	545	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
	546	return
[d89f09b]	547
[9d31a8b]	548	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
[d89f09b]	549	"""
	550	perform fit for all the pages selected on simpage and return chisqr,out and cov
	551	@param engineName: type of fit to be performed
	552	@param id: unique id corresponding to a fit problem(model, set of data)
	553	in park_integration
	554	@param model: model to fit
	555
	556	"""
	557	#set an engine to perform fit
	558	from sans.fit.Fitting import Fit
	559	self.fitter= Fit(self._fit_engine)
[3215d32]	560	self.fit_id= 0
[d89f09b]	561	#Setting an id to store model and data
[202a7dc3]	562	if id!=None:
	563	self.fit_id= id
	564
[3b19ac9]	565
[d89f09b]	566	for page, value in self.page_finder.iteritems():
	567	try:
[948add7]	568	if value.get_scheduled()==1:
[2a8fac1]	569	metadata = value.get_fit_data()
[3b19ac9]	570	list = value.get_model()
	571	model= list[0]
[d89f09b]	572	#Create dictionary of parameters for fitting used
[3215d32]	573	cpage= page
	574	print ""
[d89f09b]	575	pars = []
	576	templist = []
[3b19ac9]	577	templist = page.get_param_list()
[d89f09b]	578	for element in templist:
	579	try:
	580	name = str(element[0].GetLabelText())
	581	pars.append(name)
	582	except:
[3215d32]	583	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
[d89f09b]	584	return
[c80c06f]	585	# need to check this print "new model "
[9e27de9]	586
[00561739]	587	new_model=Model(model)
[8e81af0]	588	param=value.get_model_param()
	589
	590	if len(param)>0:
	591	for item in param:
	592	param_value = item[1]
	593	param_name = item[0]
[51d47b5]	594
[8e81af0]	595	new_model.parameterset[ param_name].set( param_value )
[9e27de9]	596
	597	self.fitter.set_model(new_model, self.fit_id, pars)
[ed2ea6a]	598	#print "sim-->model",metadata,model,self.fit_id, pars
[6e659ae8]	599	dy=[]
	600	x=[]
	601	y=[]
	602	if metadata.__class__ in ["Data1D","Theory1D"]:
	603	for i in range(len(metadata.dy)):
	604	if metadata.dy[i] !=0:
	605	dy.append(metadata.dy[i])
	606	x.append(metadata.x[i])
	607	y.append(metadata.y[i])
	608	if len(dy)>0:
	609	metadata.dy=numpy.zeros(len(dy))
	610	metadata.dy=dy
	611	metadata.y=numpy.zeros(len(y))
	612	metadata.y=y
	613	metadata.x=numpy.zeros(len(x))
	614	metadata.x=x
[202a7dc3]	615	self.fitter.set_data(metadata,self.fit_id,qmin,qmax,ymin,ymax)
[ed2ea6a]	616	#print "sim---->value of problem",value.get_scheduled()
[202a7dc3]	617	self.fitter.select_problem_for_fit(Uid=self.fit_id,value=value.get_scheduled())
	618	self.fit_id += 1
[9e27de9]	619	value.clear_model_param()
[3215d32]	620	#self.schedule_for_fit( 0,value)
[d89f09b]	621	except:
[3215d32]	622	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
[3b19ac9]	623	return
[dabb633]	624	#Do the simultaneous fit
[d89f09b]	625	try:
[e9b4cc4]	626	# If a thread is already started, stop it
	627	if self.calc_thread != None and self.calc_thread.isrunning():
	628	self.calc_thread.stop()
[3215d32]	629	if self.fit_id==1:
	630	self.calc_thread =FitThread(parent =self.parent,
	631	fn= self.fitter,
	632	qmin=qmin,
	633	qmax=qmax,
	634	ymin= ymin,
	635	ymax= ymax,
	636	cpage=cpage,
	637	pars= pars,
	638	completefn= self._simul_fit_completed,
	639	updatefn=None)
	640
	641	else:
	642	self.calc_thread =FitThread(parent =self.parent,
[e9b4cc4]	643	fn= self.fitter,
	644	qmin=qmin,
	645	qmax=qmax,
	646	ymin= ymin,
	647	ymax= ymax,
	648	completefn= self._simul_fit_completed,
	649	updatefn=None)
	650	self.calc_thread.queue()
	651	self.calc_thread.ready(2.5)
	652
[d89f09b]	653	except:
[3215d32]	654	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fit error: %s" % sys.exc_value))
[d89f09b]	655	return
[3b19ac9]	656
	657
	658	def _onset_engine(self,event):
[ed2ea6a]	659	"""
	660	set engine to scipy
	661	"""
[3b19ac9]	662	if self._fit_engine== 'park':
	663	self._on_change_engine('scipy')
	664	else:
	665	self._on_change_engine('park')
	666	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
	667
	668
[d89f09b]	669	def _on_change_engine(self, engine='park'):
	670	"""
	671	Allow to select the type of engine to perform fit
	672	@param engine: the key work of the engine
	673	"""
	674	self._fit_engine = engine
	675
	676
	677	def _on_model_panel(self, evt):
	678	"""
	679	react to model selection on any combo box or model menu.plot the model
	680	"""
[e1a310f]	681
[d89f09b]	682	model = evt.model
	683	name = evt.name
[32d802f]	684
[ed2ea6a]	685	#print "name fitting", name
[51d47b5]	686	#sim_page=self.fit_panel.GetPage(1)
	687	sim_page=self.sim_page
[d89f09b]	688	current_pg = self.fit_panel.get_current_page()
	689	if current_pg != sim_page:
	690	current_pg.set_panel(model)
[ef8b580]	691	#model.name = self.page_finder[current_pg].get_name()
	692	#print "model name", model.name
	693	model.name="M"+str(self.index_model)
[d89f09b]	694	try:
[bcd6d51]	695	metadata=self.page_finder[current_pg].get_data()
[264df67]	696	M_name=model.name+"= "+name+"("+metadata.group_id+")"
[ef8b580]	697	except:
	698	M_name=model.name+"= "+name
[d89f09b]	699	self.index_model += 1
[ef8b580]	700
	701
[6bcdad1]	702	# save model name
[442895f]	703
[6bcdad1]	704	# save the name containing the data name with the appropriate model
[1b07935d]	705	self.page_finder[current_pg].set_model(model,M_name)
[d89f09b]	706	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
[51d47b5]	707	if self.sim_page!=None:
	708	self.sim_page.add_model(self.page_finder)
[d89f09b]	709
[ed2ea6a]	710	def set_smearer(self,smearer):
	711	"""
	712
	713	"""
	714	current_pg=self.fit_panel.get_current_page()
	715	self.page_finder[current_pg].set_smearer(smearer)
[08b9c6c8]	716
[d89f09b]	717	def redraw_model(self,qmin= None,qmax= None):
	718	"""
	719	Draw a theory according to model changes or data range.
	720	@param qmin: the minimum value plotted for theory
	721	@param qmax: the maximum value plotted for theory
	722	"""
	723	current_pg=self.fit_panel.get_current_page()
	724	for page, value in self.page_finder.iteritems():
	725	if page ==current_pg :
	726	break
	727	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
	728
[89032bf]	729	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,
[4af20b4]	730	ymin=None,ymax=None, xmin=None, xmax=None,title=None ):
[d89f09b]	731	"""
	732	Plot a theory given a model and data
	733	@param model: the model from where the theory is derived
	734	@param currpage: page in a dictionary referring to some data
	735	"""
[26bf293]	736	if self.fit_panel.GetPageCount() >1:
[d89f09b]	737	for page in self.page_finder.iterkeys():
	738	if page==currpage :
[2a8fac1]	739	data=self.page_finder[page].get_plotted_data()
[bcd6d51]	740	list=self.page_finder[page].get_model()
	741	model=list[0]
[d89f09b]	742	break
[ed2ea6a]	743	#print "model in fitting",model
[693ab78]	744	if data!=None and data.__class__.__name__ != 'Data2D':
[d89f09b]	745	theory = Theory1D(x=[], y=[])
[6bcdad1]	746	theory.name = model.name
[d89f09b]	747	theory.group_id = data.group_id
[ef8b580]	748	theory.id = "Model"
[264df67]	749
[d89f09b]	750	x_name, x_units = data.get_xaxis()
	751	y_name, y_units = data.get_yaxis()
	752	theory.xaxis(x_name, x_units)
	753	theory.yaxis(y_name, y_units)
	754	if qmin == None :
	755	qmin = min(data.x)
	756	if qmax == None :
[4af20b4]	757	qmax = max(data.x)
[d89f09b]	758	try:
	759	tempx = qmin
[1b07935d]	760	tempy = model.run(qmin)
[d89f09b]	761	theory.x.append(tempx)
	762	theory.y.append(tempy)
	763	except :
	764	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	765	skipping point x %g %s" %(qmin, sys.exc_value)))
	766
	767	for i in range(len(data.x)):
	768	try:
[f69bc394]	769	if data.x[i]> qmin and data.x[i]< qmax:
[d89f09b]	770	tempx = data.x[i]
[1b07935d]	771	tempy = model.run(tempx)
[d89f09b]	772	theory.x.append(tempx)
	773	theory.y.append(tempy)
[04edd0d]	774
[d89f09b]	775	except:
	776	wx.PostEvent(self.parent, StatusEvent(status="fitting \
	777	skipping point x %g %s" %(data.x[i], sys.exc_value)))
	778	try:
	779	tempx = qmax
[1b07935d]	780	tempy = model.run(qmax)
[d89f09b]	781	theory.x.append(tempx)
	782	theory.y.append(tempy)
	783	except:
[00561739]	784	wx.PostEvent(self.parent, StatusEvent(status="fitting \
[32d802f]	785	skipping point x %g %s" %(qmin, sys.exc_value)) )
[ed2ea6a]	786
[32d802f]	787	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
	788	title=str(data.name)))
[6f73a08]	789	else:
[89032bf]	790
[dc317d1]	791	theory=Data2D(data.data, data.err_data)
[6bcdad1]	792	theory.name= model.name
[89032bf]	793	if title !=None:
	794	self.title = title
	795	theory.id= self.title
	796	theory.group_id= self.title+data.name
	797	else:
	798	self.title= "Analytical model 2D "
	799	theory.id= "Model"
	800	theory.group_id= "Model"+data.name
[6f73a08]	801	theory.x_bins= data.x_bins
	802	theory.y_bins= data.y_bins
	803	tempy=[]
[22210ef]	804	#print "max x,y",max(data.xmax,data.xmin),max(data.ymax,data.ymin)
[17fc6f8]	805	if qmin==None:
[bd82069]	806	qmin=0#min(math.fabs(data.xmax),math.fabs(data.ymin))
[17fc6f8]	807	if qmax==None:
[4af20b4]	808	qmax=math.sqrt(math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2)/
	809	+math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2))
[17fc6f8]	810	if ymin==None:
	811	ymin=data.ymin
	812	if ymax==None:
	813	ymax=data.ymax
[4af20b4]	814	if xmin ==None:
	815	xmin=data.xmin
	816	if xmax==None:
[f69bc394]	817	xmax=data.xmax
	818
[57668f8]	819	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
[4af20b4]	820	for j in range(len(data.y_bins)):
	821	for i in range(len(data.x_bins)):
	822	tempqij=math.sqrt((math.pow(data.y_bins[j],2)+math.pow(data.x_bins[i],2)))
[bd82069]	823	if tempqij>= qmin and tempqij<= qmax:
	824	theory.data[j][i]=model.runXY([data.y_bins[j],data.x_bins[i]])
	825	else:
	826	theory.data[j][i]=0 #None # Later, We need to decide which of 0 and None is better.
[f69bc394]	827	#print "len(data.x_bins),len(data.y_bins);",len(data.x_bins),len(data.y_bins),qmax
[44bbf6a]	828	#print "fitting : plot_helper:", theory.image
[2dbb681]	829	#print "fitting : plot_helper:",theory.image
[1f62278]	830	theory.detector= data.detector
	831	theory.source= data.source
[22210ef]	832
[d0eac66]	833	theory.qmin= qmin
	834	theory.qmax= qmax
[4274c0e]	835	theory.ymin= ymin
	836	theory.ymax= ymax
[d0eac66]	837	theory.xmin= xmin
	838	theory.xmax= xmax
[04edd0d]	839
[32d802f]	840	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
[89032bf]	841	title=self.title +str(data.name)))
[6f73a08]	842
	843
[d89f09b]	844	def _on_model_menu(self, evt):
	845	"""
	846	Plot a theory from a model selected from the menu
	847	"""
[86c1832]	848	name = evt.model.__name__
	849	if hasattr(evt.model, "name"):
	850	name = evt.model.name
[ed2ea6a]	851	#print "on model menu", name
[b2c3225]	852	model=evt.model()
[2dbb681]	853	description=model.description
[3dc83be]	854
	855	# Create a model page. If a new page is created, the model
	856	# will be plotted automatically. If a page already exists,
	857	# the content will be updated and the plot refreshed
	858	self.fit_panel.add_model_page(model,description,name,topmenu=True)
[1b07935d]	859
[26bf293]	860	def draw_model(self,model,name ,data=None,description=None,enable1D=True, enable2D=False,
[cfc68540]	861	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[3b19ac9]	862	"""
	863	draw model with default data value
	864	"""
[26bf293]	865	if data !=None:
	866	self.redraw_model(qmin,qmax)
	867	return
[2a8fac1]	868	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
[d74d751]	869	self._draw_model2D(model=model,
	870	description=model.description,
	871	enable2D= enable2D,
	872	qmin=qmin,
	873	qmax=qmax,
[c48a26a]	874	qstep=qstep)
[2a8fac1]	875
[cfc68540]	876
	877	def _draw_model1D(self,model,name,description=None, enable1D=True,
	878	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[ed2ea6a]	879	"""
	880
	881	"""
[e5a9e32]	882
[d250f7d]	883	if enable1D:
[d15c0202]	884	x= numpy.linspace(start= qmin,
	885	stop= qmax,
	886	num= qstep,
	887	endpoint=True
	888	)
[f39511b]	889	xlen= len(x)
	890	y = numpy.zeros(xlen)
[d250f7d]	891	if not enable1D:
[f39511b]	892	for i in range(xlen):
	893	y[i] = model.run(x[i])
[d15c0202]	894
[f39511b]	895	try:
	896	new_plot = Theory1D(x, y)
[32d802f]	897
[86c1832]	898	new_plot.name = name
[f39511b]	899	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	900	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[6bcdad1]	901	new_plot.id = "Model"
	902	new_plot.group_id ="Model"
[f39511b]	903	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
	904	except:
[32d802f]	905	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
	906	#raise
[ed2ea6a]	907	return
[f39511b]	908	else:
	909	for i in range(xlen):
[2a8fac1]	910	y[i] = model.run(x[i])
[f39511b]	911	try:
	912	new_plot = Theory1D(x, y)
[ed2ea6a]	913	#print "draw model 1D", name
[86c1832]	914	new_plot.name = name
[f39511b]	915	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
	916	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
[6bcdad1]	917	new_plot.id ="Model"
	918	new_plot.group_id ="Model"
[3dc83be]	919
	920	# Pass the reset flag to let the plotting event handler
	921	# know that we are replacing the whole plot
[6bcdad1]	922	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
[3dc83be]	923	title="Analytical model 1D ", reset=True ))
[f39511b]	924
	925	except:
[32d802f]	926	#raise
	927	wx.PostEvent(self.parent, StatusEvent(status="Draw model 1D error: %s" % sys.exc_value))
[ed2ea6a]	928	return
	929
	930
	931
[e9b4cc4]	932	def update(self, output,time):
[ed2ea6a]	933	"""
	934	"""
[e9b4cc4]	935	pass
[20be946]	936
[b2c6d23]	937	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
[ed2ea6a]	938	"""
	939	"""
[20be946]	940	wx.PostEvent(self.parent, StatusEvent(status="Calc \
[2a8fac1]	941	complete !" , type="stop"))
[d15c0202]	942	#print "complete",output, model,qmin, qmax
[20be946]	943	data = output
[13e120a]	944	temp= numpy.zeros(numpy.shape(data))
	945	temp[temp==0]=1
	946	theory= Data2D(image=data, err_image=temp)
	947
[d15c0202]	948	from DataLoader.data_info import Detector, Source
	949
	950	detector = Detector()
	951	theory.detector=[]
[7b758fd]	952	theory.detector.append(detector)
[d15c0202]	953
[ac2cc940]	954	theory.detector[0].distance=1e+32#13705.0
[d15c0202]	955	theory.source= Source()
[ac2cc940]	956	theory.source.wavelength=2*math.pi/1e+32#8.4
[13e120a]	957	theory.x_bins =[]
	958	theory.y_bins =[]
[ac2cc940]	959	#Now qmax is xmax.
	960	xmax=2theory.detector[0].distancemath.atan(qmax/(4*math.pi/theory.source.wavelength))
	961	theory.detector[0].pixel_size.x= xmax/(qstep/2-0.5)#5.0
	962	theory.detector[0].pixel_size.y= xmax/(qstep/2-0.5)#5.0
	963	theory.detector[0].beam_center.x= qmax
	964	theory.detector[0].beam_center.y= qmax
	965	#print "xmax,qmax",xmax,qmax
[13e120a]	966	# compute x_bins and y_bins
	967	# Qx and Qy vectors
	968
	969	distance = theory.detector[0].distance
	970	pixel = qstep/2-1
[7b758fd]	971	theta = pixel / distance / qstep#100.0
[13e120a]	972	wavelength = theory.source.wavelength
	973	pixel_width_x = theory.detector[0].pixel_size.x
	974	pixel_width_y = theory.detector[0].pixel_size.y
	975	center_x = theory.detector[0].beam_center.x/pixel_width_x
	976	center_y = theory.detector[0].beam_center.y/pixel_width_y
[d15c0202]	977
[13e120a]	978
	979	size_x, size_y= numpy.shape(theory.data)
[ac2cc940]	980	#print "size_x,size_y",size_x, size_y
[7b758fd]	981	#This case, q and x are equivalent to each other.
[13e120a]	982	for i_x in range(size_x):
[ac2cc940]	983	theta = (i_x-center_x)*pixel_width_x / distance #/ size_x#100.0
	984	qx = 4.0math.pi/wavelength math.tan(theta/2.0)
[13e120a]	985	theory.x_bins.append(qx)
	986	for i_y in range(size_y):
[ac2cc940]	987	theta = (i_y-center_y)*pixel_width_y / distance #/ size_y#100.0
	988	qy =4.0math.pi/wavelength math.tan(theta/2.0)
[13e120a]	989	theory.y_bins.append(qy)
	990
	991	#theory.err_data= numpy.
[20be946]	992	theory.name= model.name
	993	theory.group_id ="Model"
	994	theory.id ="Model"
[22210ef]	995
	996
	997
[f69bc394]	998	theory.xmin= -qmax#/math.sqrt(2)#You can not do sqrt(2), that changes axis scale not data itself
	999	theory.xmax= qmax#/math.sqrt(2)
	1000	theory.ymin= -qmax#/math.sqrt(2)
	1001	theory.ymax= qmax#/math.sqrt(2)
[b2c6d23]	1002
[2a8fac1]	1003	#print "model draw comptele xmax",theory.xmax,model.name
[20be946]	1004	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
[32d802f]	1005	title="Analytical model 2D ", reset=True ))
[20be946]	1006
	1007
	1008
[cfc68540]	1009	def _draw_model2D(self,model,description=None, enable2D=False,
	1010	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
[2a8fac1]	1011
[d15c0202]	1012	x= numpy.linspace(start= -1*qmax,
	1013	stop= qmax,
	1014	num= qstep,
	1015	endpoint=True )
	1016	y = numpy.linspace(start= -1*qmax,
	1017	stop= qmax,
	1018	num= qstep,
	1019	endpoint=True )
	1020
[dc317d1]	1021	lx = len(x)
[1c5b068]	1022	#print x
[2a8fac1]	1023	#data=numpy.zeros([len(x),len(y)])
[20be946]	1024	self.model= model
[dc317d1]	1025	if enable2D:
[2a8fac1]	1026	try:
	1027	from sans.guiframe.model_thread import Calc2D
[ed2ea6a]	1028	# print "in draw model 2d ",self.model
[2a8fac1]	1029	self.calc_thread = Calc2D(parent =self.parent,x=x,
	1030	y=y,model= self.model,
	1031	qmin=qmin,
	1032	qmax=qmax,
	1033	qstep=qstep,
	1034	completefn=self.complete,
	1035	updatefn=None)
	1036	self.calc_thread.queue()
	1037	self.calc_thread.ready(2.5)
	1038	except:
	1039	raise
[89032bf]	1040
	1041	def show_panel2D(self, id=None ):
[32d802f]	1042	self.parent.show_panel(self.model2D_id)
[20be946]	1043
[db709e4]	1044
[d89f09b]	1045	if __name__ == "__main__":
	1046	i = Plugin()
	1047
	1048
	1049
	1050

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ ed2ea6a

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