fitting.py @ b2c6d23

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 b2c6d23 was b2c6d23, checked in by Jae Cho <jhjcho@…>, 15 years ago
Fake instrumental header information (Model 2D) is replaced in order for 2D model data to be equivalent to the real data.
Property mode set to `100644`
File size: 31.6 KB

Line
1	import os,os.path, re
2	import sys, wx, logging
3	import string, numpy, math
4
5	from copy import deepcopy
6	from danse.common.plottools.plottables import Data1D, Theory1D,Data2D
7	from danse.common.plottools.PlotPanel import PlotPanel
8	from sans.guicomm.events import NewPlotEvent, StatusEvent
9	from sans.guicomm.events import EVT_SLICER_PARS
10
11	from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D
12	from fitproblem import FitProblem
13	from fitpanel import FitPanel
14	from fit_thread import FitThread
15	import models,modelpage
16	import fitpage1D,fitpage2D
17	import park
18	DEFAULT_BEAM = 0.005
19	DEFAULT_QMIN = 0.0
20	DEFAULT_QMAX = 0.15
21	DEFAULT_NPTS = 40
22	import time
23	import thread
24	print "main",thread.get_ident()
25
26	class Plugin:
27	"""
28	Fitting plugin is used to perform fit
29	"""
30	def __init__(self):
31	## Plug-in name
32	self.sub_menu = "Fitting"
33
34	## Reference to the parent window
35	self.parent = None
36	self.menu_mng = models.ModelManager()
37	## List of panels for the simulation perspective (names)
38	self.perspective = []
39	self.mypanels=[]
40	self.calc_thread = None
41	self.done = False
42	# Start with a good default
43	self.elapsed = 0.022
44	self.fitter = None
45
46	#Flag to let the plug-in know that it is running standalone
47	self.standalone=True
48	## Fit engine
49	self._fit_engine = 'scipy'
50	self.enable_model2D=False
51	# Log startup
52	logging.info("Fitting plug-in started")
53
54	def populate_menu(self, id, owner):
55	"""
56	Create a menu for the Fitting plug-in
57	@param id: id to create a menu
58	@param owner: owner of menu
59	@ return : list of information to populate the main menu
60	"""
61	#Menu for fitting
62	self.menu1 = wx.Menu()
63	id1 = wx.NewId()
64	self.menu1.Append(id1, '&Show fit panel')
65	wx.EVT_MENU(owner, id1, self.on_perspective)
66	id3 = wx.NewId()
67	self.menu1.AppendCheckItem(id3, "park")
68	wx.EVT_MENU(owner, id3, self._onset_engine)
69
70	#menu for model
71	menu2 = wx.Menu()
72
73	self.menu_mng.populate_menu(menu2, owner)
74	id2 = wx.NewId()
75	owner.Bind(models.EVT_MODEL,self._on_model_menu)
76	#owner.Bind(modelpage.EVT_MODEL,self._on_model_menu)
77	self.fit_panel.set_owner(owner)
78	self.fit_panel.set_model_list(self.menu_mng.get_model_list())
79	owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel)
80	owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel)
81	#create menubar items
82	return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")]
83
84
85	def help(self, evt):
86	"""
87	Show a general help dialog.
88	TODO: replace the text with a nice image
89	"""
90	from helpDialog import HelpWindow
91	dialog = HelpWindow(None, -1, 'HelpWindow')
92	if dialog.ShowModal() == wx.ID_OK:
93	pass
94	dialog.Destroy()
95
96
97	def get_context_menu(self, graph=None):
98	"""
99	Get the context menu items available for P(r)
100	@param graph: the Graph object to which we attach the context menu
101	@return: a list of menu items with call-back function
102	"""
103	self.graph=graph
104	for item in graph.plottables:
105	if item.__class__.__name__ is "Data2D":
106	return [["Select data for Fitting",\
107	"Dialog with fitting parameters ", self._onSelect]]
108	else:
109	if item.name==graph.selected_plottable and\
110	item.__class__.__name__ is "Data1D":
111	return [["Select data for Fitting", \
112	"Dialog with fitting parameters ", self._onSelect]]
113	return []
114
115
116	def get_panels(self, parent):
117	"""
118	Create and return a list of panel objects
119	"""
120	self.parent = parent
121	# Creation of the fit panel
122	self.fit_panel = FitPanel(self.parent, -1)
123	#Set the manager forthe main panel
124	self.fit_panel.set_manager(self)
125	# List of windows used for the perspective
126	self.perspective = []
127	self.perspective.append(self.fit_panel.window_name)
128	# take care of saving data, model and page associated with each other
129	self.page_finder = {}
130	#index number to create random model name
131	self.index_model = 0
132	self.parent.Bind(EVT_SLICER_PARS, self._on_slicer_event)
133	#create the fitting panel
134	#return [self.fit_panel]
135	self.mypanels.append(self.fit_panel)
136	return self.mypanels
137	def _on_slicer_event(self, event):
138	print "slicer event ", event.panel
139	new_panel = event.panel
140	# Set group ID if available
141	event_id = self.parent.popup_panel(new_panel)
142	#self.menu.Append(event_id, new_panel.window_caption,
143	# "Show %s plot panel" % new_panel.window_caption)
144	# Set UID to allow us to reference the panel later
145	new_panel.uid = event_id
146
147	self.mypanels.append(new_panel)
148	return
149	def _on_show_panel(self, event):
150	print "_on_show_panel: fitting"
151
152	def get_perspective(self):
153	"""
154	Get the list of panel names for this perspective
155	"""
156	return self.perspective
157
158
159	def on_perspective(self, event):
160	"""
161	Call back function for the perspective menu item.
162	We notify the parent window that the perspective
163	has changed.
164	"""
165	self.parent.set_perspective(self.perspective)
166
167
168	def post_init(self):
169	"""
170	Post initialization call back to close the loose ends
171	[Somehow openGL needs this call]
172	"""
173	self.parent.set_perspective(self.perspective)
174
175
176	def _onSelect(self,event):
177	"""
178	when Select data to fit a new page is created .Its reference is
179	added to self.page_finder
180	"""
181	self.panel = event.GetEventObject()
182	for item in self.panel.graph.plottables:
183	if item.name == self.panel.graph.selected_plottable or\
184	item.__class__.__name__ is "Data2D":
185	#find a name for the page created for notebook
186	try:
187	page, model_name = self.fit_panel.add_fit_page(item)
188	# add data associated to the page created
189
190	if page !=None:
191
192	#create a fitproblem storing all link to data,model,page creation
193	self.page_finder[page]= FitProblem()
194	self.page_finder[page].save_model_name(model_name)
195	self.page_finder[page].add_data(item)
196	except:
197	wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\
198	%sys.exc_value))
199	def schedule_for_fit(self,value=0,fitproblem =None):
200	"""
201
202	"""
203	if fitproblem !=None:
204	fitproblem.schedule_tofit(value)
205	else:
206	current_pg=self.fit_panel.get_current_page()
207	for page, val in self.page_finder.iteritems():
208	if page ==current_pg :
209	val.schedule_tofit(value)
210	break
211
212
213	def get_page_finder(self):
214	""" @return self.page_finder used also by simfitpage.py"""
215	return self.page_finder
216
217
218	def set_page_finder(self,modelname,names,values):
219	"""
220	Used by simfitpage.py to reset a parameter given the string constrainst.
221	@param modelname: the name ot the model for with the parameter has to reset
222	@param value: can be a string in this case.
223	@param names: the paramter name
224	@note: expecting park used for fit.
225	"""
226	sim_page=self.fit_panel.get_page(0)
227	for page, value in self.page_finder.iteritems():
228	if page != sim_page:
229	list=value.get_model()
230	model=list[0]
231	#print "fitting",model.name,modelname
232	if model.name== modelname:
233	value.set_model_param(names,values)
234	break
235
236
237
238	def split_string(self,item):
239	"""
240	receive a word containing dot and split it. used to split parameterset
241	name into model name and parameter name example:
242	paramaterset (item) = M1.A
243	@return model_name =M1 , parameter name =A
244	"""
245	if string.find(item,".")!=-1:
246	param_names= re.split("\.",item)
247	model_name=param_names[0]
248	param_name=param_names[1]
249	return model_name,param_name
250
251
252	def _single_fit_completed(self,result,pars,cpage,qmin,qmax,elapsed,ymin=None, ymax=None):
253	"""
254	Display fit result on one page of the notebook.
255	@param result: result of fit
256	@param pars: list of names of parameters fitted
257	@param current_pg: the page where information will be displayed
258	@param qmin: the minimum value of x to replot the model
259	@param qmax: the maximum value of x to replot model
260
261	"""
262	#self.done = True
263	#wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
264	try:
265	for page, value in self.page_finder.iteritems():
266	if page==cpage :
267	#fitdata = value.get_data()
268	list = value.get_model()
269	model= list[0]
270	break
271	i = 0
272	# print "fitting: single fit pars ", pars
273	for name in pars:
274	if result.pvec.__class__==numpy.float64:
275	model.setParam(name,result.pvec)
276	else:
277	model.setParam(name,result.pvec[i])
278	# print "fitting: single fit", name, result.pvec[i]
279	i += 1
280	# print "fitting result : chisqr",result.fitness
281	# print "fitting result : pvec",result.pvec
282	# print "fitting result : stderr",result.stderr
283
284	cpage.onsetValues(result.fitness, result.pvec,result.stderr)
285	self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax)
286	except:
287	raise
288	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
289
290
291	def _simul_fit_completed(self,result,qmin,qmax, elapsed,pars=None,cpage=None, ymin=None, ymax=None):
292	"""
293	Parameter estimation completed,
294	display the results to the user
295	@param alpha: estimated best alpha
296	@param elapsed: computation time
297	"""
298	wx.PostEvent(self.parent, StatusEvent(status="Fitting Completed: %g" % elapsed))
299	try:
300	for page, value in self.page_finder.iteritems():
301	if value.get_scheduled()==1:
302	#fitdata = value.get_data()
303	list = value.get_model()
304	model= list[0]
305
306	small_out = []
307	small_cov = []
308	i = 0
309	#Separate result in to data corresponding to each page
310	for p in result.parameters:
311	model_name,param_name = self.split_string(p.name)
312	if model.name == model_name:
313	small_out.append(p.value )
314	small_cov.append(p.stderr)
315	model.setParam(param_name,p.value)
316	# Display result on each page
317	page.onsetValues(result.fitness, small_out,small_cov)
318	#Replot model
319	self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax)
320	except:
321	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
322
323
324	def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None):
325	"""
326	perform fit for the current page and return chisqr,out and cov
327	@param engineName: type of fit to be performed
328	@param id: unique id corresponding to a fit problem(model, set of data)
329	@param model: model to fit
330
331	"""
332	#print "in single fitting"
333	#set an engine to perform fit
334	from sans.fit.Fitting import Fit
335	self.fitter= Fit(self._fit_engine)
336	#Setting an id to store model and data in fit engine
337	if id==None:
338	id=0
339	self.id = id
340	page_fitted=None
341	fit_problem=None
342	#Get information (model , data) related to the page on
343	#with the fit will be perform
344	#current_pg=self.fit_panel.get_current_page()
345	#simul_pg=self.fit_panel.get_page(0)
346
347	for page, value in self.page_finder.iteritems():
348	if value.get_scheduled() ==1 :
349	metadata = value.get_data()
350	list=value.get_model()
351	model=list[0]
352	smearer= value.get_smearer()
353	#Create list of parameters for fitting used
354	pars=[]
355	templist=[]
356	try:
357	#templist=current_pg.get_param_list()
358	templist=page.get_param_list()
359	for element in templist:
360	pars.append(str(element[0].GetLabelText()))
361	pars.sort()
362	#Do the single fit
363	self.fitter.set_model(Model(model), self.id, pars)
364
365	self.fitter.set_data(metadata,self.id,smearer, qmin,qmax)
366	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
367	page_fitted=page
368	self.id+=1
369	self.schedule_for_fit( 0,value)
370	except:
371	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
372	return
373	# make sure to keep an alphabetic order
374	#of parameter names in the list
375	try:
376	# If a thread is already started, stop it
377	if self.calc_thread != None and self.calc_thread.isrunning():
378	self.calc_thread.stop()
379
380	self.calc_thread =FitThread(parent =self.parent,
381	fn= self.fitter,
382	pars= pars,
383	cpage= page_fitted,
384	qmin=qmin,
385	qmax=qmax,
386	ymin= ymin,
387	ymax= ymax,
388	completefn=self._single_fit_completed,
389	updatefn=None)
390	self.calc_thread.queue()
391	self.calc_thread.ready(2.5)
392	#while not self.done:
393	#print "when here"
394	# time.sleep(1)
395
396
397	except:
398	raise
399	wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value))
400	return
401
402	def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None):
403	"""
404	perform fit for all the pages selected on simpage and return chisqr,out and cov
405	@param engineName: type of fit to be performed
406	@param id: unique id corresponding to a fit problem(model, set of data)
407	in park_integration
408	@param model: model to fit
409
410	"""
411	#set an engine to perform fit
412	from sans.fit.Fitting import Fit
413	self.fitter= Fit(self._fit_engine)
414
415	#Setting an id to store model and data
416	if id==None:
417	id = 0
418	self.id = id
419
420	for page, value in self.page_finder.iteritems():
421	try:
422	if value.get_scheduled()==1:
423	metadata = value.get_data()
424	list = value.get_model()
425	model= list[0]
426	#Create dictionary of parameters for fitting used
427	pars = []
428	templist = []
429	templist = page.get_param_list()
430	for element in templist:
431	try:
432	name = str(element[0].GetLabelText())
433	pars.append(name)
434	except:
435	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
436	return
437	new_model=Model(model)
438	param=value.get_model_param()
439
440	if len(param)>0:
441	for item in param:
442	param_value = item[1]
443	param_name = item[0]
444	#print "fitting ", param,param_name, param_value
445
446	#new_model.set( model.getParam(param_name[0])= param_value)
447	#new_model.set( exec"%s=%s"%(param_name[0], param_value))
448	#new_model.set( exec "%s"%(param_nam) = param_value)
449	new_model.parameterset[ param_name].set( param_value )
450
451	self.fitter.set_model(new_model, self.id, pars)
452	self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax)
453	self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled())
454	self.id += 1
455	except:
456	wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value))
457	return
458	#Do the simultaneous fit
459	try:
460	# If a thread is already started, stop it
461	if self.calc_thread != None and self.calc_thread.isrunning():
462	self.calc_thread.stop()
463
464	self.calc_thread =FitThread(parent =self.parent,
465	fn= self.fitter,
466	qmin=qmin,
467	qmax=qmax,
468	ymin= ymin,
469	ymax= ymax,
470	completefn= self._simul_fit_completed,
471	updatefn=None)
472	self.calc_thread.queue()
473	self.calc_thread.ready(2.5)
474
475	except:
476	wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value))
477	return
478
479
480	def _onset_engine(self,event):
481	""" set engine to scipy"""
482	if self._fit_engine== 'park':
483	self._on_change_engine('scipy')
484	else:
485	self._on_change_engine('park')
486	wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine))
487
488
489	def _on_change_engine(self, engine='park'):
490	"""
491	Allow to select the type of engine to perform fit
492	@param engine: the key work of the engine
493	"""
494	self._fit_engine = engine
495
496
497	def _on_model_panel(self, evt):
498	"""
499	react to model selection on any combo box or model menu.plot the model
500	"""
501
502	model = evt.model
503	name = evt.name
504	sim_page=self.fit_panel.get_page(0)
505	current_pg = self.fit_panel.get_current_page()
506	selected_page = self.fit_panel.get_selected_page()
507	if current_pg != sim_page:
508	current_pg.set_panel(model)
509	model.name = self.page_finder[current_pg].get_name()
510	try:
511	metadata=self.page_finder[current_pg].get_data()
512	M_name=model.name+"= "+name+"("+metadata.group_id+")"
513	except:
514	M_name=model.name+"= "+name
515	#model.name="M"+str(self.index_model)
516	self.index_model += 1
517	# save model name
518
519	# save the name containing the data name with the appropriate model
520	self.page_finder[current_pg].set_model(model,M_name)
521	self.plot_helper(currpage= current_pg,qmin= None,qmax= None)
522	sim_page.add_model(self.page_finder)
523
524	def set_smearer(self,smearer):
525	current_pg=self.fit_panel.get_current_page()
526	self.page_finder[current_pg].set_smearer(smearer)
527
528	def redraw_model(self,qmin= None,qmax= None):
529	"""
530	Draw a theory according to model changes or data range.
531	@param qmin: the minimum value plotted for theory
532	@param qmax: the maximum value plotted for theory
533	"""
534	current_pg=self.fit_panel.get_current_page()
535	for page, value in self.page_finder.iteritems():
536	if page ==current_pg :
537	break
538	self.plot_helper(currpage=page,qmin= qmin,qmax= qmax)
539
540	def plot_helper(self,currpage, fitModel=None, qmin=None,qmax=None,ymin=None,ymax=None):
541	"""
542	Plot a theory given a model and data
543	@param model: the model from where the theory is derived
544	@param currpage: page in a dictionary referring to some data
545	"""
546	if self.fit_panel.get_page_count() >1:
547	for page in self.page_finder.iterkeys():
548	if page==currpage :
549	data=self.page_finder[page].get_data()
550	list=self.page_finder[page].get_model()
551	model=list[0]
552	break
553
554	if data!=None and data.__class__.__name__ != 'Data2D':
555	theory = Theory1D(x=[], y=[])
556	theory.name = model.name
557	theory.group_id = data.group_id
558	theory.id = "Model"
559	x_name, x_units = data.get_xaxis()
560	y_name, y_units = data.get_yaxis()
561	theory.xaxis(x_name, x_units)
562	theory.yaxis(y_name, y_units)
563	if qmin == None :
564	qmin = min(data.x)
565	if qmax == None :
566	qmax = max(data.x)
567	try:
568	tempx = qmin
569	tempy = model.run(qmin)
570	theory.x.append(tempx)
571	theory.y.append(tempy)
572	except :
573	wx.PostEvent(self.parent, StatusEvent(status="fitting \
574	skipping point x %g %s" %(qmin, sys.exc_value)))
575
576	for i in range(len(data.x)):
577	try:
578	if data.x[i]> qmin and data.x[i]< qmax:
579	tempx = data.x[i]
580	tempy = model.run(tempx)
581	theory.x.append(tempx)
582	theory.y.append(tempy)
583
584	except:
585	wx.PostEvent(self.parent, StatusEvent(status="fitting \
586	skipping point x %g %s" %(data.x[i], sys.exc_value)))
587	try:
588	tempx = qmax
589	tempy = model.run(qmax)
590	theory.x.append(tempx)
591	theory.y.append(tempy)
592	except:
593	wx.PostEvent(self.parent, StatusEvent(status="fitting \
594	skipping point x %g %s" %(qmax, sys.exc_value)))
595
596	else:
597	theory=Data2D(data.data, data.err_data)
598	theory.name= model.name
599	theory.id= "Model"
600	theory.group_id= "Model"+data.name
601	theory.x_bins= data.x_bins
602	theory.y_bins= data.y_bins
603	tempy=[]
604	if qmin==None:
605	qmin=data.xmin
606	if qmax==None:
607	qmax=data.xmax
608	if ymin==None:
609	ymin=data.ymin
610	if ymax==None:
611	ymax=data.ymax
612
613	theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins)))
614	for i in range(len(data.y_bins)):
615	if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax:
616	for j in range(len(data.x_bins)):
617	if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax:
618	theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]])
619
620	#print "fitting : plot_helper:", theory.image
621	#print data.image
622	#print "fitting : plot_helper:",theory.image
623	theory.detector= data.detector
624	theory.source= data.source
625	theory.zmin= data.zmin
626	theory.zmax= data.zmax
627	theory.xmin= qmin
628	theory.xmax= qmax
629	theory.ymin= ymin
630	theory.ymax= ymax
631
632	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
633	title="Analytical model %s"%str(data.name)))
634
635
636	def _on_model_menu(self, evt):
637	"""
638	Plot a theory from a model selected from the menu
639	"""
640	name = evt.model.__name__
641	if hasattr(evt.model, "name"):
642	name = evt.model.name
643	model=evt.model()
644	description=model.description
645
646	# Create a model page. If a new page is created, the model
647	# will be plotted automatically. If a page already exists,
648	# the content will be updated and the plot refreshed
649	self.fit_panel.add_model_page(model,description,name,topmenu=True)
650
651	def draw_model(self,model,name ,description=None,enable1D=True, enable2D=False,
652	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
653	"""
654	draw model with default data value
655	"""
656	self._draw_model2D(model=model,
657	description=model.description,
658	enable2D= enable2D,
659	qmin=qmin,
660	qmax=qmax,
661	qstep=qstep)
662	self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep)
663
664	def _draw_model1D(self,model,name,description=None, enable1D=True,
665	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
666
667	if enable1D:
668	x= numpy.linspace(start= qmin,
669	stop= qmax,
670	num= qstep,
671	endpoint=True
672	)
673	xlen= len(x)
674	y = numpy.zeros(xlen)
675	if not enable1D:
676	for i in range(xlen):
677	y[i] = model.run(x[i])
678
679	try:
680	new_plot = Theory1D(x, y)
681	new_plot.name = name
682	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
683	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
684	new_plot.id = "Model"
685	new_plot.group_id ="Model"
686	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D"))
687
688	except:
689	raise
690	else:
691	for i in range(xlen):
692	y[i] = model.run(x[i])
693	#print x, y
694	try:
695	new_plot = Theory1D(x, y)
696	new_plot.name = name
697	new_plot.xaxis("\\rm{Q}", 'A^{-1}')
698	new_plot.yaxis("\\rm{Intensity} ","cm^{-1}")
699	new_plot.id ="Model"
700	new_plot.group_id ="Model"
701
702	# Pass the reset flag to let the plotting event handler
703	# know that we are replacing the whole plot
704	wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot,
705	title="Analytical model 1D ", reset=True ))
706
707	except:
708	raise
709	def update(self, output,time):
710	pass
711
712	def complete(self, output, elapsed, model, qmin, qmax,qstep=DEFAULT_NPTS):
713
714	wx.PostEvent(self.parent, StatusEvent(status="Calc \
715	complete in %g sec" % elapsed))
716	#print "complete",output, model,qmin, qmax
717	data = output
718	theory= Data2D(data)
719	#print data.detector
720	#theory.detector= data.detector
721	from DataLoader.data_info import Detector, Source
722
723	detector = Detector()
724	theory.detector=[]
725	theory.detector.append(detector)
726
727	theory.detector[0].pixel_size.x= qmax/(qstep/2-1)#5.0
728	theory.detector[0].pixel_size.y= qmax/(qstep/2-1)#5.0
729	theory.detector[0].beam_center.x= qmax
730	theory.detector[0].beam_center.y= qmax
731	theory.detector[0].distance= 1e+12#13705.0
732	theory.source= Source()
733	theory.source.wavelength= 2*math.pi/1e+12#8.4
734
735	theory.name= model.name
736	theory.group_id ="Model"
737	theory.id ="Model"
738	theory.xmin= -qmax
739	theory.xmax= qmax
740	theory.ymin= -qmax
741	theory.ymax= qmax
742
743	print "model draw comptele xmax",theory.xmax
744	wx.PostEvent(self.parent, NewPlotEvent(plot=theory,
745	title="Analytical model 2D %s" %str(model.name), reset=True))
746
747
748
749	def _draw_model2D(self,model,description=None, enable2D=False,
750	qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS):
751
752	x= numpy.linspace(start= -1*qmax,
753	stop= qmax,
754	num= qstep,
755	endpoint=True )
756	y = numpy.linspace(start= -1*qmax,
757	stop= qmax,
758	num= qstep,
759	endpoint=True )
760
761	lx = len(x)
762	#print x
763	data=numpy.zeros([len(x),len(y)])
764	self.model= model
765	if enable2D:
766	from model_thread import Calc2D
767	self.calc_thread = Calc2D(parent =self.parent,x=x,
768	y=y,model= self.model,
769	qmin=qmin,
770	qmax=qmax,
771	qstep=qstep,
772	completefn=self.complete,
773	updatefn=None)
774	self.calc_thread.queue()
775	self.calc_thread.ready(2.5)
776
777
778	if __name__ == "__main__":
779	i = Plugin()
780
781
782
783

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SasView

source: sasview/sansview/perspectives/fitting/fitting.py @ b2c6d23

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