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Reference Guide
RooDataHist.cxx
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1 /*****************************************************************************
2  * Project: RooFit *
3  * Package: RooFitCore *
4  * @(#)root/roofitcore:$Id$
5  * Authors: *
6  * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu *
7  * DK, David Kirkby, UC Irvine, dkirkby@uci.edu *
8  * *
9  * Copyright (c) 2000-2005, Regents of the University of California *
10  * and Stanford University. All rights reserved. *
11  * *
12  * Redistribution and use in source and binary forms, *
13  * with or without modification, are permitted according to the terms *
14  * listed in LICENSE (http://roofit.sourceforge.net/license.txt) *
15  *****************************************************************************/
16 
17 /**
18 \file RooDataHist.cxx
19 \class RooDataHist
20 \ingroup Roofitcore
21 
22 RooDataSet is a container class to hold N-dimensional binned data. Each bins central
23 coordinates in N-dimensional space are represented by a RooArgSet of RooRealVar, RooCategory
24 or RooStringVar objects, thus data can be binned in real and/or discrete dimensions
25 **/
26 
27 #include "RooFit.h"
28 #include "Riostream.h"
29 
30 #include "TH1.h"
31 #include "TH1.h"
32 #include "TDirectory.h"
33 #include "TMath.h"
34 #include "RooMsgService.h"
35 #include "RooDataHist.h"
36 #include "RooDataHistSliceIter.h"
37 #include "RooAbsLValue.h"
38 #include "RooArgList.h"
39 #include "RooRealVar.h"
40 #include "RooMath.h"
41 #include "RooBinning.h"
42 #include "RooPlot.h"
43 #include "RooHistError.h"
44 #include "RooCategory.h"
45 #include "RooCmdConfig.h"
46 #include "RooLinkedListIter.h"
47 #include "RooTreeDataStore.h"
48 #include "RooVectorDataStore.h"
49 #include "TTree.h"
50 #include "RooTrace.h"
51 #include "RooTreeData.h"
52 
53 using namespace std ;
54 
56 ;
57 
58 
59 
60 ////////////////////////////////////////////////////////////////////////////////
61 /// Default constructor
62 
63 RooDataHist::RooDataHist() : _pbinvCacheMgr(0,10)
64 {
65  _arrSize = 0 ;
66  _wgt = 0 ;
67  _errLo = 0 ;
68  _errHi = 0 ;
69  _sumw2 = 0 ;
70  _binv = 0 ;
71  _pbinv = 0 ;
72  _curWeight = 0 ;
73  _curIndex = -1 ;
75  _binValid = 0 ;
76  _curSumW2 = 0 ;
77  _curVolume = 1 ;
78  _curWgtErrHi = 0 ;
79  _curWgtErrLo = 0 ;
80  _cache_sum_valid = 0 ;
82 }
83 
84 
85 
86 ////////////////////////////////////////////////////////////////////////////////
87 /// Constructor of an empty data hist from a RooArgSet defining the dimensions
88 /// of the data space. The range and number of bins in each dimensions are taken
89 /// from getMin()getMax(),getBins() of each RooAbsArg representing that
90 /// dimension.
91 ///
92 /// For real dimensions, the fit range and number of bins can be set independently
93 /// of the plot range and number of bins, but it is advisable to keep the
94 /// ratio of the plot bin width and the fit bin width an integer value.
95 /// For category dimensions, the fit ranges always comprises all defined states
96 /// and each state is always has its individual bin
97 ///
98 /// To effective achive binning of real dimensions with variable bins sizes,
99 /// construct a RooThresholdCategory of the real dimension to be binned variably.
100 /// Set the thresholds at the desired bin boundaries, and construct the
101 /// data hist as function of the threshold category instead of the real variable.
102 
103 RooDataHist::RooDataHist(const char *name, const char *title, const RooArgSet& vars, const char* binningName) :
104  RooAbsData(name,title,vars), _wgt(0), _binValid(0), _curWeight(0), _curVolume(1), _pbinv(0), _pbinvCacheMgr(0,10), _cache_sum_valid(0)
105 {
106  // Initialize datastore
108  ((RooAbsDataStore*) new RooVectorDataStore(name,title,_vars)) ;
109 
110  initialize(binningName) ;
111 
113 
114  appendToDir(this,kTRUE) ;
116 }
117 
118 
119 
120 ////////////////////////////////////////////////////////////////////////////////
121 /// Constructor of a data hist from an existing data collection (binned or unbinned)
122 /// The RooArgSet 'vars' defines the dimensions of the histogram.
123 /// The range and number of bins in each dimensions are taken
124 /// from getMin()getMax(),getBins() of each RooAbsArg representing that
125 /// dimension.
126 ///
127 /// For real dimensions, the fit range and number of bins can be set independently
128 /// of the plot range and number of bins, but it is advisable to keep the
129 /// ratio of the plot bin width and the fit bin width an integer value.
130 /// For category dimensions, the fit ranges always comprises all defined states
131 /// and each state is always has its individual bin
132 ///
133 /// To effective achive binning of real dimensions with variable bins sizes,
134 /// construct a RooThresholdCategory of the real dimension to be binned variably.
135 /// Set the thresholds at the desired bin boundaries, and construct the
136 /// data hist as function of the threshold category instead of the real variable.
137 ///
138 /// If the constructed data hist has less dimensions that in source data collection,
139 /// all missing dimensions will be projected.
140 
141 RooDataHist::RooDataHist(const char *name, const char *title, const RooArgSet& vars, const RooAbsData& data, Double_t wgt) :
142  RooAbsData(name,title,vars), _wgt(0), _binValid(0), _curWeight(0), _curVolume(1), _pbinv(0), _pbinvCacheMgr(0,10), _cache_sum_valid(0)
143 {
144  // Initialize datastore
146  ((RooAbsDataStore*) new RooVectorDataStore(name,title,_vars)) ;
147 
148  initialize() ;
150 
151  add(data,(const RooFormulaVar*)0,wgt) ;
152  appendToDir(this,kTRUE) ;
154 }
155 
156 
157 
158 ////////////////////////////////////////////////////////////////////////////////
159 /// Constructor of a data hist from a map of TH1,TH2 or TH3 that are collated into a x+1 dimensional
160 /// RooDataHist where the added dimension is a category that labels the input source as defined
161 /// in the histMap argument. The state names used in histMap must correspond to predefined states
162 /// 'indexCat'
163 ///
164 /// The RooArgList 'vars' defines the dimensions of the histogram.
165 /// The ranges and number of bins are taken from the input histogram and must be the same in all histograms
166 
167 RooDataHist::RooDataHist(const char *name, const char *title, const RooArgList& vars, RooCategory& indexCat,
168  map<string,TH1*> histMap, Double_t wgt) :
169  RooAbsData(name,title,RooArgSet(vars,&indexCat)),
171 {
172  // Initialize datastore
174  ((RooAbsDataStore*) new RooVectorDataStore(name,title,_vars)) ;
175 
176  importTH1Set(vars, indexCat, histMap, wgt, kFALSE) ;
177 
180 }
181 
182 
183 
184 ////////////////////////////////////////////////////////////////////////////////
185 /// Constructor of a data hist from a map of RooDataHists that are collated into a x+1 dimensional
186 /// RooDataHist where the added dimension is a category that labels the input source as defined
187 /// in the histMap argument. The state names used in histMap must correspond to predefined states
188 /// 'indexCat'
189 ///
190 /// The RooArgList 'vars' defines the dimensions of the histogram.
191 /// The ranges and number of bins are taken from the input histogram and must be the same in all histograms
192 
193 RooDataHist::RooDataHist(const char *name, const char *title, const RooArgList& vars, RooCategory& indexCat,
194  map<string,RooDataHist*> dhistMap, Double_t wgt) :
195  RooAbsData(name,title,RooArgSet(vars,&indexCat)),
197 {
198  // Initialize datastore
200  ((RooAbsDataStore*) new RooVectorDataStore(name,title,_vars)) ;
201 
202  importDHistSet(vars, indexCat, dhistMap, wgt) ;
203 
206 }
207 
208 
209 
210 ////////////////////////////////////////////////////////////////////////////////
211 /// Constructor of a data hist from an TH1,TH2 or TH3
212 /// The RooArgSet 'vars' defines the dimensions of the histogram. The ranges
213 /// and number of bins are taken from the input histogram, and the corresponding
214 /// values are set accordingly on the arguments in 'vars'
215 
216 RooDataHist::RooDataHist(const char *name, const char *title, const RooArgList& vars, const TH1* hist, Double_t wgt) :
217  RooAbsData(name,title,vars), _wgt(0), _binValid(0), _curWeight(0), _curVolume(1), _pbinv(0), _pbinvCacheMgr(0,10), _cache_sum_valid(0)
218 {
219  // Initialize datastore
221  ((RooAbsDataStore*) new RooVectorDataStore(name,title,_vars)) ;
222 
223  // Check consistency in number of dimensions
224  if (vars.getSize() != hist->GetDimension()) {
225  coutE(InputArguments) << "RooDataHist::ctor(" << GetName() << ") ERROR: dimension of input histogram must match "
226  << "number of dimension variables" << endl ;
227  assert(0) ;
228  }
229 
230  importTH1(vars,*hist,wgt, kFALSE) ;
231 
234 }
235 
236 
237 
238 ////////////////////////////////////////////////////////////////////////////////
239 /// Constructor of a binned dataset from a RooArgSet defining the dimensions
240 /// of the data space. The range and number of bins in each dimensions are taken
241 /// from getMin() getMax(),getBins() of each RooAbsArg representing that
242 /// dimension.
243 ///
244 /// This constructor takes the following optional arguments
245 ///
246 /// Import(TH1&, Bool_t impDens) -- Import contents of the given TH1/2/3 into this binned dataset. The
247 /// ranges and binning of the binned dataset are automatically adjusted to
248 /// match those of the imported histogram.
249 ///
250 /// Please note: for TH1& with unequal binning _only_,
251 /// you should decide if you want to import the absolute bin content,
252 /// or the bin content expressed as density. The latter is default and will
253 /// result in the same histogram as the original TH1. For certain type of
254 /// bin contents (containing efficiencies, asymmetries, or ratio is general)
255 /// you should import the absolute value and set impDens to kFALSE
256 ///
257 ///
258 /// Weight(Double_t) -- Apply given weight factor when importing histograms
259 ///
260 /// Index(RooCategory&) -- Prepare import of multiple TH1/1/2/3 into a N+1 dimensional RooDataHist
261 /// where the extra discrete dimension labels the source of the imported histogram
262 /// If the index category defines states for which no histogram is be imported
263 /// the corresponding bins will be left empty.
264 ///
265 /// Import(const char*, TH1&) -- Import a THx to be associated with the given state name of the index category
266 /// specified in Index(). If the given state name is not yet defined in the index
267 /// category it will be added on the fly. The import command can be specified
268 /// multiple times.
269 /// Import(map<string,TH1*>&) -- As above, but allows specification of many imports in a single operation
270 ///
271 
272 RooDataHist::RooDataHist(const char *name, const char *title, const RooArgList& vars, const RooCmdArg& arg1, const RooCmdArg& arg2, const RooCmdArg& arg3,
273  const RooCmdArg& arg4,const RooCmdArg& arg5,const RooCmdArg& arg6,const RooCmdArg& arg7,const RooCmdArg& arg8) :
274  RooAbsData(name,title,RooArgSet(vars,(RooAbsArg*)RooCmdConfig::decodeObjOnTheFly("RooDataHist::RooDataHist", "IndexCat",0,0,arg1,arg2,arg3,arg4,arg5,arg6,arg7,arg8))),
276 {
277  // Initialize datastore
279  ((RooAbsDataStore*) new RooVectorDataStore(name,title,_vars)) ;
280 
281  // Define configuration for this method
282  RooCmdConfig pc(Form("RooDataHist::ctor(%s)",GetName())) ;
283  pc.defineObject("impHist","ImportHisto",0) ;
284  pc.defineInt("impDens","ImportHisto",0) ;
285  pc.defineObject("indexCat","IndexCat",0) ;
286  pc.defineObject("impSliceHist","ImportHistoSlice",0,0,kTRUE) ; // array
287  pc.defineString("impSliceState","ImportHistoSlice",0,"",kTRUE) ; // array
288  pc.defineObject("impSliceDHist","ImportDataHistSlice",0,0,kTRUE) ; // array
289  pc.defineString("impSliceDState","ImportDataHistSlice",0,"",kTRUE) ; // array
290  pc.defineDouble("weight","Weight",0,1) ;
291  pc.defineObject("dummy1","ImportDataHistSliceMany",0) ;
292  pc.defineObject("dummy2","ImportHistoSliceMany",0) ;
293  pc.defineMutex("ImportHisto","ImportHistoSlice","ImportDataHistSlice") ;
294  pc.defineDependency("ImportHistoSlice","IndexCat") ;
295  pc.defineDependency("ImportDataHistSlice","IndexCat") ;
296 
297  RooLinkedList l ;
298  l.Add((TObject*)&arg1) ; l.Add((TObject*)&arg2) ;
299  l.Add((TObject*)&arg3) ; l.Add((TObject*)&arg4) ;
300  l.Add((TObject*)&arg5) ; l.Add((TObject*)&arg6) ;
301  l.Add((TObject*)&arg7) ; l.Add((TObject*)&arg8) ;
302 
303  // Process & check varargs
304  pc.process(l) ;
305  if (!pc.ok(kTRUE)) {
306  assert(0) ;
307  return ;
308  }
309 
310  TH1* impHist = static_cast<TH1*>(pc.getObject("impHist")) ;
311  Bool_t impDens = pc.getInt("impDens") ;
312  Double_t initWgt = pc.getDouble("weight") ;
313  const char* impSliceNames = pc.getString("impSliceState","",kTRUE) ;
314  const RooLinkedList& impSliceHistos = pc.getObjectList("impSliceHist") ;
315  RooCategory* indexCat = static_cast<RooCategory*>(pc.getObject("indexCat")) ;
316  const char* impSliceDNames = pc.getString("impSliceDState","",kTRUE) ;
317  const RooLinkedList& impSliceDHistos = pc.getObjectList("impSliceDHist") ;
318 
319 
320  if (impHist) {
321 
322  // Initialize importing contents from TH1
323  importTH1(vars,*impHist,initWgt, impDens) ;
324 
325  } else if (indexCat) {
326 
327 
328  if (impSliceHistos.GetSize()>0) {
329 
330  // Initialize importing mapped set of TH1s
331  map<string,TH1*> hmap ;
332  char tmp[1024] ;
333  strlcpy(tmp,impSliceNames,1024) ;
334  char* token = strtok(tmp,",") ;
335  TIterator* hiter = impSliceHistos.MakeIterator() ;
336  while(token) {
337  hmap[token] = (TH1*) hiter->Next() ;
338  token = strtok(0,",") ;
339  }
340  importTH1Set(vars,*indexCat,hmap,initWgt,kFALSE) ;
341  } else {
342 
343  // Initialize importing mapped set of RooDataHists
344  map<string,RooDataHist*> dmap ;
345  char tmp[1024] ;
346  strlcpy(tmp,impSliceDNames,1024) ;
347  char* token = strtok(tmp,",") ;
348  TIterator* hiter = impSliceDHistos.MakeIterator() ;
349  while(token) {
350  dmap[token] = (RooDataHist*) hiter->Next() ;
351  token = strtok(0,",") ;
352  }
353  importDHistSet(vars,*indexCat,dmap,initWgt) ;
354 
355  }
356 
357 
358  } else {
359 
360  // Initialize empty
361  initialize() ;
362  appendToDir(this,kTRUE) ;
363 
364  }
365 
368 
369 }
370 
371 
372 
373 
374 ////////////////////////////////////////////////////////////////////////////////
375 /// Import data from given TH1/2/3 into this RooDataHist
376 
377 void RooDataHist::importTH1(const RooArgList& vars, const TH1& histo, Double_t wgt, Bool_t doDensityCorrection)
378 {
379  // Adjust binning of internal observables to match that of input THx
380  Int_t offset[3] ;
381  adjustBinning(vars,histo,offset) ;
382 
383  // Initialize internal data structure
384  initialize() ;
385  appendToDir(this,kTRUE) ;
386 
387  // Define x,y,z as 1st, 2nd and 3rd observable
388  RooRealVar* xvar = (RooRealVar*) _vars.find(vars.at(0)->GetName()) ;
389  RooRealVar* yvar = (RooRealVar*) (vars.at(1) ? _vars.find(vars.at(1)->GetName()) : 0 ) ;
390  RooRealVar* zvar = (RooRealVar*) (vars.at(2) ? _vars.find(vars.at(2)->GetName()) : 0 ) ;
391 
392  // Transfer contents
393  Int_t xmin(0),ymin(0),zmin(0) ;
394  RooArgSet vset(*xvar) ;
395  Double_t volume = xvar->getMax()-xvar->getMin() ;
396  xmin = offset[0] ;
397  if (yvar) {
398  vset.add(*yvar) ;
399  ymin = offset[1] ;
400  volume *= (yvar->getMax()-yvar->getMin()) ;
401  }
402  if (zvar) {
403  vset.add(*zvar) ;
404  zmin = offset[2] ;
405  volume *= (zvar->getMax()-zvar->getMin()) ;
406  }
407  //Double_t avgBV = volume / numEntries() ;
408 // cout << "average bin volume = " << avgBV << endl ;
409 
410  Int_t ix(0),iy(0),iz(0) ;
411  for (ix=0 ; ix < xvar->getBins() ; ix++) {
412  xvar->setBin(ix) ;
413  if (yvar) {
414  for (iy=0 ; iy < yvar->getBins() ; iy++) {
415  yvar->setBin(iy) ;
416  if (zvar) {
417  for (iz=0 ; iz < zvar->getBins() ; iz++) {
418  zvar->setBin(iz) ;
419  Double_t bv = doDensityCorrection ? binVolume(vset) : 1;
420  add(vset,bv*histo.GetBinContent(ix+1+xmin,iy+1+ymin,iz+1+zmin)*wgt,bv*TMath::Power(histo.GetBinError(ix+1+xmin,iy+1+ymin,iz+1+zmin)*wgt,2)) ;
421  }
422  } else {
423  Double_t bv = doDensityCorrection ? binVolume(vset) : 1;
424  add(vset,bv*histo.GetBinContent(ix+1+xmin,iy+1+ymin)*wgt,bv*TMath::Power(histo.GetBinError(ix+1+xmin,iy+1+ymin)*wgt,2)) ;
425  }
426  }
427  } else {
428  Double_t bv = doDensityCorrection ? binVolume(vset) : 1 ;
429  add(vset,bv*histo.GetBinContent(ix+1+xmin)*wgt,bv*TMath::Power(histo.GetBinError(ix+1+xmin)*wgt,2)) ;
430  }
431  }
432 
433 }
434 
435 
436 
437 
438 
439 ////////////////////////////////////////////////////////////////////////////////
440 /// Import data from given set of TH1/2/3 into this RooDataHist. The category indexCat labels the sources
441 /// in the constructed RooDataHist. The stl map provides the mapping between the indexCat state labels
442 /// and the import source
443 
444 void RooDataHist::importTH1Set(const RooArgList& vars, RooCategory& indexCat, map<string,TH1*> hmap, Double_t wgt, Bool_t doDensityCorrection)
445 {
446  RooCategory* icat = (RooCategory*) _vars.find(indexCat.GetName()) ;
447 
448  TH1* histo(0) ;
449  Bool_t init(kFALSE) ;
450  for (map<string,TH1*>::iterator hiter = hmap.begin() ; hiter!=hmap.end() ; ++hiter) {
451  // Store pointer to first histogram from which binning specification will be taken
452  if (!histo) {
453  histo = hiter->second ;
454  }
455  // Define state labels in index category (both in provided indexCat and in internal copy in dataset)
456  if (!indexCat.lookupType(hiter->first.c_str())) {
457  indexCat.defineType(hiter->first.c_str()) ;
458  coutI(InputArguments) << "RooDataHist::importTH1Set(" << GetName() << ") defining state \"" << hiter->first << "\" in index category " << indexCat.GetName() << endl ;
459  }
460  if (!icat->lookupType(hiter->first.c_str())) {
461  icat->defineType(hiter->first.c_str()) ;
462  }
463  }
464 
465  // Check consistency in number of dimensions
466  if (histo && (vars.getSize() != histo->GetDimension())) {
467  coutE(InputArguments) << "RooDataHist::ctor(" << GetName() << ") ERROR: dimension of input histogram must match "
468  << "number of continuous variables" << endl ;
469  assert(0) ;
470  }
471 
472  // Copy bins and ranges from THx to dimension observables
473  Int_t offset[3] ;
474  adjustBinning(vars,*histo,offset) ;
475 
476  // Initialize internal data structure
477  if (!init) {
478  initialize() ;
479  appendToDir(this,kTRUE) ;
480  init = kTRUE ;
481  }
482 
483  // Define x,y,z as 1st, 2nd and 3rd observable
484  RooRealVar* xvar = (RooRealVar*) _vars.find(vars.at(0)->GetName()) ;
485  RooRealVar* yvar = (RooRealVar*) (vars.at(1) ? _vars.find(vars.at(1)->GetName()) : 0 ) ;
486  RooRealVar* zvar = (RooRealVar*) (vars.at(2) ? _vars.find(vars.at(2)->GetName()) : 0 ) ;
487 
488  // Transfer contents
489  Int_t xmin(0),ymin(0),zmin(0) ;
490  RooArgSet vset(*xvar) ;
491  Double_t volume = xvar->getMax()-xvar->getMin() ;
492  xmin = offset[0] ;
493  if (yvar) {
494  vset.add(*yvar) ;
495  ymin = offset[1] ;
496  volume *= (yvar->getMax()-yvar->getMin()) ;
497  }
498  if (zvar) {
499  vset.add(*zvar) ;
500  zmin = offset[2] ;
501  volume *= (zvar->getMax()-zvar->getMin()) ;
502  }
503  Double_t avgBV = volume / numEntries() ;
504 
505  Int_t ic(0),ix(0),iy(0),iz(0) ;
506  for (ic=0 ; ic < icat->numBins(0) ; ic++) {
507  icat->setBin(ic) ;
508  histo = hmap[icat->getLabel()] ;
509  for (ix=0 ; ix < xvar->getBins() ; ix++) {
510  xvar->setBin(ix) ;
511  if (yvar) {
512  for (iy=0 ; iy < yvar->getBins() ; iy++) {
513  yvar->setBin(iy) ;
514  if (zvar) {
515  for (iz=0 ; iz < zvar->getBins() ; iz++) {
516  zvar->setBin(iz) ;
517  Double_t bv = doDensityCorrection ? binVolume(vset)/avgBV : 1;
518  add(vset,bv*histo->GetBinContent(ix+1+xmin,iy+1+ymin,iz+1+zmin)*wgt,bv*TMath::Power(histo->GetBinError(ix+1+xmin,iy+1+ymin,iz+1+zmin)*wgt,2)) ;
519  }
520  } else {
521  Double_t bv = doDensityCorrection ? binVolume(vset)/avgBV : 1;
522  add(vset,bv*histo->GetBinContent(ix+1+xmin,iy+1+ymin)*wgt,bv*TMath::Power(histo->GetBinError(ix+1+xmin,iy+1+ymin)*wgt,2)) ;
523  }
524  }
525  } else {
526  Double_t bv = doDensityCorrection ? binVolume(vset)/avgBV : 1;
527  add(vset,bv*histo->GetBinContent(ix+1+xmin)*wgt,bv*TMath::Power(histo->GetBinError(ix+1+xmin)*wgt,2)) ;
528  }
529  }
530  }
531 
532 }
533 
534 
535 
536 ////////////////////////////////////////////////////////////////////////////////
537 /// Import data from given set of TH1/2/3 into this RooDataHist. The category indexCat labels the sources
538 /// in the constructed RooDataHist. The stl map provides the mapping between the indexCat state labels
539 /// and the import source
540 
541 void RooDataHist::importDHistSet(const RooArgList& /*vars*/, RooCategory& indexCat, std::map<std::string,RooDataHist*> dmap, Double_t initWgt)
542 {
543  RooCategory* icat = (RooCategory*) _vars.find(indexCat.GetName()) ;
544 
545  for (map<string,RooDataHist*>::iterator diter = dmap.begin() ; diter!=dmap.end() ; ++diter) {
546 
547  // Define state labels in index category (both in provided indexCat and in internal copy in dataset)
548  if (!indexCat.lookupType(diter->first.c_str())) {
549  indexCat.defineType(diter->first.c_str()) ;
550  coutI(InputArguments) << "RooDataHist::importDHistSet(" << GetName() << ") defining state \"" << diter->first << "\" in index category " << indexCat.GetName() << endl ;
551  }
552  if (!icat->lookupType(diter->first.c_str())) {
553  icat->defineType(diter->first.c_str()) ;
554  }
555  }
556 
557  initialize() ;
558  appendToDir(this,kTRUE) ;
559 
560 
561  for (map<string,RooDataHist*>::iterator diter = dmap.begin() ; diter!=dmap.end() ; ++diter) {
562 
563  RooDataHist* dhist = diter->second ;
564 
565  icat->setLabel(diter->first.c_str()) ;
566 
567  // Transfer contents
568  for (Int_t i=0 ; i<dhist->numEntries() ; i++) {
569  _vars = *dhist->get(i) ;
570  add(_vars,dhist->weight()*initWgt, pow(dhist->weightError(SumW2),2) ) ;
571  }
572 
573  }
574 }
575 
576 ////////////////////////////////////////////////////////////////////////////////
577 /// Adjust binning specification on first and optionally second and third
578 /// observable to binning in given reference TH1. Used by constructors
579 /// that import data from an external TH1
580 
581 void RooDataHist::adjustBinning(const RooArgList& vars, const TH1& href, Int_t* offset)
582 {
583  // X
584  RooRealVar* xvar = (RooRealVar*) _vars.find(*vars.at(0)) ;
585  if (!dynamic_cast<RooRealVar*>(xvar)) {
586  coutE(InputArguments) << "RooDataHist::adjustBinning(" << GetName() << ") ERROR: dimension " << xvar->GetName() << " must be real" << endl ;
587  assert(0) ;
588  }
589 
590  Double_t xlo = ((RooRealVar*)vars.at(0))->getMin() ;
591  Double_t xhi = ((RooRealVar*)vars.at(0))->getMax() ;
592  Int_t xmin(0) ;
593  if (href.GetXaxis()->GetXbins()->GetArray()) {
594 
595  RooBinning xbins(href.GetNbinsX(),href.GetXaxis()->GetXbins()->GetArray()) ;
596 
597  Double_t tolerance = 1e-6*xbins.averageBinWidth() ;
598 
599  // Adjust xlo/xhi to nearest boundary
600  Double_t xloAdj = xbins.binLow(xbins.binNumber(xlo+tolerance)) ;
601  Double_t xhiAdj = xbins.binHigh(xbins.binNumber(xhi-tolerance)) ;
602  xbins.setRange(xloAdj,xhiAdj) ;
603 
604  ((RooRealVar*)vars.at(0))->setBinning(xbins) ;
605  if (fabs(xloAdj-xlo)>tolerance||fabs(xhiAdj-xhi)<tolerance) {
606  coutI(DataHandling) << "RooDataHist::adjustBinning(" << GetName() << "): fit range of variable " << xvar->GetName() << " expanded to nearest bin boundaries: ["
607  << xlo << "," << xhi << "] --> [" << xloAdj << "," << xhiAdj << "]" << endl ;
608  }
609 
610  xvar->setBinning(xbins) ;
611  xmin = xbins.rawBinNumber(xloAdj+tolerance) ;
612  if (offset) {
613  offset[0] = xmin ;
614  }
615 
616  } else {
617 
618  RooBinning xbins(href.GetXaxis()->GetXmin(),href.GetXaxis()->GetXmax()) ;
619  xbins.addUniform(href.GetNbinsX(),href.GetXaxis()->GetXmin(),href.GetXaxis()->GetXmax()) ;
620 
621  Double_t tolerance = 1e-6*xbins.averageBinWidth() ;
622 
623  // Adjust xlo/xhi to nearest boundary
624  Double_t xloAdj = xbins.binLow(xbins.binNumber(xlo+tolerance)) ;
625  Double_t xhiAdj = xbins.binHigh(xbins.binNumber(xhi-tolerance)) ;
626  xbins.setRange(xloAdj,xhiAdj) ;
627  ((RooRealVar*)vars.at(0))->setRange(xloAdj,xhiAdj) ;
628  if (fabs(xloAdj-xlo)>tolerance||fabs(xhiAdj-xhi)<tolerance) {
629  coutI(DataHandling) << "RooDataHist::adjustBinning(" << GetName() << "): fit range of variable " << xvar->GetName() << " expanded to nearest bin boundaries: ["
630  << xlo << "," << xhi << "] --> [" << xloAdj << "," << xhiAdj << "]" << endl ;
631  }
632 
633 
634  RooUniformBinning xbins2(xloAdj,xhiAdj,xbins.numBins()) ;
635  xvar->setBinning(xbins2) ;
636  xmin = xbins.rawBinNumber(xloAdj+tolerance) ;
637  if (offset) {
638  offset[0] = xmin ;
639  }
640  }
641 
642 
643 
644  // Y
645  RooRealVar* yvar = (RooRealVar*) (vars.at(1) ? _vars.find(*vars.at(1)) : 0 ) ;
646  Int_t ymin(0) ;
647  if (yvar) {
648  Double_t ylo = ((RooRealVar*)vars.at(1))->getMin() ;
649  Double_t yhi = ((RooRealVar*)vars.at(1))->getMax() ;
650 
651  if (!dynamic_cast<RooRealVar*>(yvar)) {
652  coutE(InputArguments) << "RooDataHist::adjustBinning(" << GetName() << ") ERROR: dimension " << yvar->GetName() << " must be real" << endl ;
653  assert(0) ;
654  }
655 
656  if (href.GetYaxis()->GetXbins()->GetArray()) {
657 
658  RooBinning ybins(href.GetNbinsY(),href.GetYaxis()->GetXbins()->GetArray()) ;
659 
660  Double_t tolerance = 1e-6*ybins.averageBinWidth() ;
661 
662  // Adjust ylo/yhi to nearest boundary
663  Double_t yloAdj = ybins.binLow(ybins.binNumber(ylo+tolerance)) ;
664  Double_t yhiAdj = ybins.binHigh(ybins.binNumber(yhi-tolerance)) ;
665  ybins.setRange(yloAdj,yhiAdj) ;
666  ((RooRealVar*)vars.at(1))->setBinning(ybins) ;
667  if (fabs(yloAdj-ylo)>tolerance||fabs(yhiAdj-yhi)<tolerance) {
668  coutI(DataHandling) << "RooDataHist::adjustBinning(" << GetName() << "): fit range of variable " << yvar->GetName() << " expanded to nearest bin boundaries: ["
669  << ylo << "," << yhi << "] --> [" << yloAdj << "," << yhiAdj << "]" << endl ;
670  }
671 
672  yvar->setBinning(ybins) ;
673  ymin = ybins.rawBinNumber(yloAdj+tolerance) ;
674  if (offset) {
675  offset[1] = ymin ;
676  }
677 
678  } else {
679 
680  RooBinning ybins(href.GetYaxis()->GetXmin(),href.GetYaxis()->GetXmax()) ;
681  ybins.addUniform(href.GetNbinsY(),href.GetYaxis()->GetXmin(),href.GetYaxis()->GetXmax()) ;
682 
683  Double_t tolerance = 1e-6*ybins.averageBinWidth() ;
684 
685  // Adjust ylo/yhi to nearest boundary
686  Double_t yloAdj = ybins.binLow(ybins.binNumber(ylo+tolerance)) ;
687  Double_t yhiAdj = ybins.binHigh(ybins.binNumber(yhi-tolerance)) ;
688  ybins.setRange(yloAdj,yhiAdj) ;
689  ((RooRealVar*)vars.at(1))->setRange(yloAdj,yhiAdj) ;
690  if (fabs(yloAdj-ylo)>tolerance||fabs(yhiAdj-yhi)<tolerance) {
691  coutI(DataHandling) << "RooDataHist::adjustBinning(" << GetName() << "): fit range of variable " << yvar->GetName() << " expanded to nearest bin boundaries: ["
692  << ylo << "," << yhi << "] --> [" << yloAdj << "," << yhiAdj << "]" << endl ;
693  }
694 
695  RooUniformBinning ybins2(yloAdj,yhiAdj,ybins.numBins()) ;
696  yvar->setBinning(ybins2) ;
697  ymin = ybins.rawBinNumber(yloAdj+tolerance) ;
698  if (offset) {
699  offset[1] = ymin ;
700  }
701 
702  }
703  }
704 
705  // Z
706  RooRealVar* zvar = (RooRealVar*) (vars.at(2) ? _vars.find(*vars.at(2)) : 0 ) ;
707  Int_t zmin(0) ;
708  if (zvar) {
709  Double_t zlo = ((RooRealVar*)vars.at(2))->getMin() ;
710  Double_t zhi = ((RooRealVar*)vars.at(2))->getMax() ;
711 
712  if (!dynamic_cast<RooRealVar*>(zvar)) {
713  coutE(InputArguments) << "RooDataHist::adjustBinning(" << GetName() << ") ERROR: dimension " << zvar->GetName() << " must be real" << endl ;
714  assert(0) ;
715  }
716 
717  if (href.GetZaxis()->GetXbins()->GetArray()) {
718 
719  RooBinning zbins(href.GetNbinsZ(),href.GetZaxis()->GetXbins()->GetArray()) ;
720 
721  Double_t tolerance = 1e-6*zbins.averageBinWidth() ;
722 
723  // Adjust zlo/zhi to nearest boundary
724  Double_t zloAdj = zbins.binLow(zbins.binNumber(zlo+tolerance)) ;
725  Double_t zhiAdj = zbins.binHigh(zbins.binNumber(zhi-tolerance)) ;
726  zbins.setRange(zloAdj,zhiAdj) ;
727  ((RooRealVar*)vars.at(2))->setBinning(zbins) ;
728  if (fabs(zloAdj-zlo)>tolerance||fabs(zhiAdj-zhi)<tolerance) {
729  coutI(DataHandling) << "RooDataHist::adjustBinning(" << GetName() << "): fit range of variable " << zvar->GetName() << " expanded to nearest bin boundaries: ["
730  << zlo << "," << zhi << "] --> [" << zloAdj << "," << zhiAdj << "]" << endl ;
731  }
732 
733  zvar->setBinning(zbins) ;
734  zmin = zbins.rawBinNumber(zloAdj+tolerance) ;
735  if (offset) {
736  offset[2] = zmin ;
737  }
738 
739  } else {
740 
741  RooBinning zbins(href.GetZaxis()->GetXmin(),href.GetZaxis()->GetXmax()) ;
742  zbins.addUniform(href.GetNbinsZ(),href.GetZaxis()->GetXmin(),href.GetZaxis()->GetXmax()) ;
743 
744  Double_t tolerance = 1e-6*zbins.averageBinWidth() ;
745 
746  // Adjust zlo/zhi to nearest boundary
747  Double_t zloAdj = zbins.binLow(zbins.binNumber(zlo+tolerance)) ;
748  Double_t zhiAdj = zbins.binHigh(zbins.binNumber(zhi-tolerance)) ;
749  zbins.setRange(zloAdj,zhiAdj) ;
750  ((RooRealVar*)vars.at(2))->setRange(zloAdj,zhiAdj) ;
751  if (fabs(zloAdj-zlo)>tolerance||fabs(zhiAdj-zhi)<tolerance) {
752  coutI(DataHandling) << "RooDataHist::adjustBinning(" << GetName() << "): fit range of variable " << zvar->GetName() << " expanded to nearest bin boundaries: ["
753  << zlo << "," << zhi << "] --> [" << zloAdj << "," << zhiAdj << "]" << endl ;
754  }
755 
756  RooUniformBinning zbins2(zloAdj,zhiAdj,zbins.numBins()) ;
757  zvar->setBinning(zbins2) ;
758  zmin = zbins.rawBinNumber(zloAdj+tolerance) ;
759  if (offset) {
760  offset[2] = zmin ;
761  }
762  }
763  }
764 
765 }
766 
767 
768 
769 
770 
771 ////////////////////////////////////////////////////////////////////////////////
772 /// Initialization procedure: allocate weights array, calculate
773 /// multipliers needed for N-space to 1-dim array jump table,
774 /// and fill the internal tree with all bin center coordinates
775 
776 void RooDataHist::initialize(const char* binningName, Bool_t fillTree)
777 {
778 
779  // Save real dimensions of dataset separately
780  RooAbsArg* real ;
781  _iterator->Reset() ;
782  while((real=(RooAbsArg*)_iterator->Next())) {
783  if (dynamic_cast<RooAbsReal*>(real)) _realVars.add(*real);
784  }
786 
787  // Fill array of LValue pointers to variables
788  _iterator->Reset();
789  RooAbsArg* rvarg;
790  while((rvarg=(RooAbsArg*)_iterator->Next())) {
791  if (binningName) {
792  RooRealVar* rrv = dynamic_cast<RooRealVar*>(rvarg);
793  if (rrv) {
794  rrv->setBinning(rrv->getBinning(binningName));
795  }
796  }
797  // coverity[FORWARD_NULL]
798  _lvvars.push_back(dynamic_cast<RooAbsLValue*>(rvarg));
799  // coverity[FORWARD_NULL]
800  const RooAbsBinning* binning = dynamic_cast<RooAbsLValue*>(rvarg)->getBinningPtr(0);
801  _lvbins.push_back(binning ? binning->clone() : 0);
802  }
803 
804 
805  // Allocate coefficients array
806  _idxMult.resize(_vars.getSize()) ;
807 
808  _arrSize = 1 ;
809  _iterator->Reset() ;
810  RooAbsLValue* arg ;
811  Int_t n(0), i ;
812  while((arg=dynamic_cast<RooAbsLValue*>(_iterator->Next()))) {
813 
814  // Calculate sub-index multipliers for master index
815  for (i=0 ; i<n ; i++) {
816  _idxMult[i] *= arg->numBins() ;
817  }
818  _idxMult[n++] = 1 ;
819 
820  // Calculate dimension of weight array
821  _arrSize *= arg->numBins() ;
822  }
823 
824  // Allocate and initialize weight array if necessary
825  if (!_wgt) {
826  _wgt = new Double_t[_arrSize] ;
827  _errLo = new Double_t[_arrSize] ;
828  _errHi = new Double_t[_arrSize] ;
829  _sumw2 = new Double_t[_arrSize] ;
830  _binv = new Double_t[_arrSize] ;
831 
832  // Refill array pointers in data store when reading
833  // from Streamer
834  if (fillTree==kFALSE) {
836  }
837 
838  for (i=0 ; i<_arrSize ; i++) {
839  _wgt[i] = 0 ;
840  _errLo[i] = -1 ;
841  _errHi[i] = -1 ;
842  _sumw2[i] = 0 ;
843  }
844  }
845 
846  if (!fillTree) return ;
847 
848  // Fill TTree with bin center coordinates
849  // Calculate plot bins of components from master index
850 
851  Int_t ibin ;
852  for (ibin=0 ; ibin<_arrSize ; ibin++) {
853  _iterator->Reset() ;
854  RooAbsLValue* arg2 ;
855  Int_t j(0), idx(0), tmp(ibin) ;
856  Double_t theBinVolume(1) ;
857  while((arg2=dynamic_cast<RooAbsLValue*>(_iterator->Next()))) {
858  idx = tmp / _idxMult[j] ;
859  tmp -= idx*_idxMult[j++] ;
860  RooAbsLValue* arglv = dynamic_cast<RooAbsLValue*>(arg2) ;
861  arglv->setBin(idx) ;
862  theBinVolume *= arglv->getBinWidth(idx) ;
863 // cout << "init: bin width at idx=" << idx << " = " << arglv->getBinWidth(idx) << " binv[" << idx << "] = " << theBinVolume << endl ;
864  }
865  _binv[ibin] = theBinVolume ;
866 // cout << "binv[" << ibin << "] = " << theBinVolume << endl ;
867  fill() ;
868  }
869 
870 
871 }
872 
873 
874 ////////////////////////////////////////////////////////////////////////////////
875 
877 {
878  if (!_binbounds.empty()) return;
879  for (std::vector<const RooAbsBinning*>::const_iterator it = _lvbins.begin();
880  _lvbins.end() != it; ++it) {
881  _binbounds.push_back(std::vector<Double_t>());
882  if (*it) {
883  std::vector<Double_t>& bounds = _binbounds.back();
884  bounds.reserve(2 * (*it)->numBins());
885  for (Int_t i = 0; i < (*it)->numBins(); ++i) {
886  bounds.push_back((*it)->binLow(i));
887  bounds.push_back((*it)->binHigh(i));
888  }
889  }
890  }
891 }
892 
893 ////////////////////////////////////////////////////////////////////////////////
894 /// Copy constructor
895 
896 RooDataHist::RooDataHist(const RooDataHist& other, const char* newname) :
898 {
899  Int_t i ;
900 
901  // Allocate and initialize weight array
902  _arrSize = other._arrSize ;
903  _wgt = new Double_t[_arrSize] ;
904  _errLo = new Double_t[_arrSize] ;
905  _errHi = new Double_t[_arrSize] ;
906  _binv = new Double_t[_arrSize] ;
907  _sumw2 = new Double_t[_arrSize] ;
908  for (i=0 ; i<_arrSize ; i++) {
909  _wgt[i] = other._wgt[i] ;
910  _errLo[i] = other._errLo[i] ;
911  _errHi[i] = other._errHi[i] ;
912  _sumw2[i] = other._sumw2[i] ;
913  _binv[i] = other._binv[i] ;
914  }
915 
916  // Save real dimensions of dataset separately
917  RooAbsArg* arg ;
918  _iterator->Reset() ;
919  while((arg=(RooAbsArg*)_iterator->Next())) {
920  if (dynamic_cast<RooAbsReal*>(arg)) _realVars.add(*arg) ;
921  }
923 
924  // Fill array of LValue pointers to variables
925  _iterator->Reset() ;
926  RooAbsArg* rvarg ;
927  while((rvarg=(RooAbsArg*)_iterator->Next())) {
928  // coverity[FORWARD_NULL]
929  _lvvars.push_back(dynamic_cast<RooAbsLValue*>(rvarg)) ;
930  // coverity[FORWARD_NULL]
931  const RooAbsBinning* binning = dynamic_cast<RooAbsLValue*>(rvarg)->getBinningPtr(0) ;
932  _lvbins.push_back(binning ? binning->clone() : 0) ;
933  }
934 
936 
937  appendToDir(this,kTRUE) ;
938 }
939 
940 
941 
942 ////////////////////////////////////////////////////////////////////////////////
943 /// Constructor of a data hist from (part of) an existing data hist. The dimensions
944 /// of the data set are defined by the 'vars' RooArgSet, which can be identical
945 /// to 'dset' dimensions, or a subset thereof. Reduced dimensions will be projected
946 /// in the output data hist. The optional 'cutVar' formula variable can used to
947 /// select the subset of bins to be copied.
948 ///
949 /// For most uses the RooAbsData::reduce() wrapper function, which uses this constructor,
950 /// is the most convenient way to create a subset of an existing data
951 
952 RooDataHist::RooDataHist(const char* name, const char* title, RooDataHist* h, const RooArgSet& varSubset,
953  const RooFormulaVar* cutVar, const char* cutRange, Int_t nStart, Int_t nStop, Bool_t copyCache) :
954  RooAbsData(name,title,varSubset),
956 {
957  // Initialize datastore
958  _dstore = new RooTreeDataStore(name,title,*h->_dstore,_vars,cutVar,cutRange,nStart,nStop,copyCache) ;
959 
960  initialize(0,kFALSE) ;
961 
963 
964  // Copy weight array etc
965  Int_t i ;
966  for (i=0 ; i<_arrSize ; i++) {
967  _wgt[i] = h->_wgt[i] ;
968  _errLo[i] = h->_errLo[i] ;
969  _errHi[i] = h->_errHi[i] ;
970  _sumw2[i] = h->_sumw2[i] ;
971  _binv[i] = h->_binv[i] ;
972  }
973 
974 
975  appendToDir(this,kTRUE) ;
977 }
978 
979 
980 ////////////////////////////////////////////////////////////////////////////////
981 /// Construct a clone of this dataset that contains only the cached variables
982 
983 RooAbsData* RooDataHist::cacheClone(const RooAbsArg* newCacheOwner, const RooArgSet* newCacheVars, const char* newName)
984 {
985  checkInit() ;
986 
987  RooDataHist* dhist = new RooDataHist(newName?newName:GetName(),GetTitle(),this,*get(),0,0,0,2000000000,kTRUE) ;
988 
989  RooArgSet* selCacheVars = (RooArgSet*) newCacheVars->selectCommon(dhist->_cachedVars) ;
990  dhist->attachCache(newCacheOwner, *selCacheVars) ;
991  delete selCacheVars ;
992 
993  return dhist ;
994 }
995 
996 
997 
998 ////////////////////////////////////////////////////////////////////////////////
999 /// Implementation of RooAbsData virtual method that drives the RooAbsData::reduce() methods
1000 
1001 RooAbsData* RooDataHist::reduceEng(const RooArgSet& varSubset, const RooFormulaVar* cutVar, const char* cutRange,
1002  Int_t nStart, Int_t nStop, Bool_t /*copyCache*/)
1003 {
1004  checkInit() ;
1005  RooArgSet* myVarSubset = (RooArgSet*) _vars.selectCommon(varSubset) ;
1006  RooDataHist *rdh = new RooDataHist(GetName(), GetTitle(), *myVarSubset) ;
1007  delete myVarSubset ;
1008 
1009  RooFormulaVar* cloneVar = 0;
1010  RooArgSet* tmp(0) ;
1011  if (cutVar) {
1012  // Deep clone cutVar and attach clone to this dataset
1013  tmp = (RooArgSet*) RooArgSet(*cutVar).snapshot() ;
1014  if (!tmp) {
1015  coutE(DataHandling) << "RooDataHist::reduceEng(" << GetName() << ") Couldn't deep-clone cut variable, abort," << endl ;
1016  return 0 ;
1017  }
1018  cloneVar = (RooFormulaVar*) tmp->find(*cutVar) ;
1019  cloneVar->attachDataSet(*this) ;
1020  }
1021 
1022  Int_t i ;
1023  Double_t lo,hi ;
1024  Int_t nevt = nStop < numEntries() ? nStop : numEntries() ;
1025  TIterator* vIter = get()->createIterator() ;
1026  for (i=nStart ; i<nevt ; i++) {
1027  const RooArgSet* row = get(i) ;
1028 
1029  Bool_t doSelect(kTRUE) ;
1030  if (cutRange) {
1031  RooAbsArg* arg ;
1032  vIter->Reset() ;
1033  while((arg=(RooAbsArg*)vIter->Next())) {
1034  if (!arg->inRange(cutRange)) {
1035  doSelect = kFALSE ;
1036  break ;
1037  }
1038  }
1039  }
1040  if (!doSelect) continue ;
1041 
1042  if (!cloneVar || cloneVar->getVal()) {
1043  weightError(lo,hi,SumW2) ;
1044  rdh->add(*row,weight(),lo*lo) ;
1045  }
1046  }
1047  delete vIter ;
1048 
1049  if (cloneVar) {
1050  delete tmp ;
1051  }
1052 
1053  return rdh ;
1054  }
1055 
1056 
1057 
1058 ////////////////////////////////////////////////////////////////////////////////
1059 /// Destructor
1060 
1062 {
1063  if (_wgt) delete[] _wgt ;
1064  if (_errLo) delete[] _errLo ;
1065  if (_errHi) delete[] _errHi ;
1066  if (_sumw2) delete[] _sumw2 ;
1067  if (_binv) delete[] _binv ;
1068  if (_realIter) delete _realIter ;
1069  if (_binValid) delete[] _binValid ;
1070  vector<const RooAbsBinning*>::iterator iter = _lvbins.begin() ;
1071  while(iter!=_lvbins.end()) {
1072  delete *iter ;
1073  iter++ ;
1074  }
1075 
1076  removeFromDir(this) ;
1078 }
1079 
1080 
1081 
1082 
1083 ////////////////////////////////////////////////////////////////////////////////
1084 
1086 {
1087  checkInit() ;
1088  if (fast) {
1089  _vars.assignFast(coord,kFALSE) ;
1090  } else {
1091  _vars.assignValueOnly(coord) ;
1092  }
1093  return calcTreeIndex() ;
1094 }
1095 
1096 
1097 
1098 
1099 ////////////////////////////////////////////////////////////////////////////////
1100 /// Calculate the index for the weights array corresponding to
1101 /// to the bin enclosing the current coordinates of the internal argset
1102 
1104 {
1105  Int_t masterIdx(0), i(0) ;
1106  vector<RooAbsLValue*>::const_iterator iter = _lvvars.begin() ;
1107  vector<const RooAbsBinning*>::const_iterator biter = _lvbins.begin() ;
1108  for (;iter!=_lvvars.end() ; ++iter) {
1109  const RooAbsBinning* binning = (*biter) ;
1110  masterIdx += _idxMult[i++]*(*iter)->getBin(binning) ;
1111  biter++ ;
1112  }
1113  return masterIdx ;
1114 }
1115 
1116 
1117 
1118 ////////////////////////////////////////////////////////////////////////////////
1119 /// Debug stuff, should go...
1120 
1122 {
1123  cout << "_arrSize = " << _arrSize << endl ;
1124  for (Int_t i=0 ; i<_arrSize ; i++) {
1125  cout << "wgt[" << i << "] = " << _wgt[i] << "sumw2[" << i << "] = " << _sumw2[i] << " vol[" << i << "] = " << _binv[i] << endl ;
1126  }
1127 }
1128 
1129 
1130 
1131 ////////////////////////////////////////////////////////////////////////////////
1132 /// Back end function to plotting functionality. Plot RooDataHist on given
1133 /// frame in mode specified by plot options 'o'. The main purpose of
1134 /// this function is to match the specified binning on 'o' to the
1135 /// internal binning of the plot observable in this RooDataHist.
1136 
1138 {
1139  checkInit() ;
1140  if (o.bins) return RooAbsData::plotOn(frame,o) ;
1141 
1142  if(0 == frame) {
1143  coutE(InputArguments) << ClassName() << "::" << GetName() << ":plotOn: frame is null" << endl;
1144  return 0;
1145  }
1146  RooAbsRealLValue *var= (RooAbsRealLValue*) frame->getPlotVar();
1147  if(0 == var) {
1148  coutE(InputArguments) << ClassName() << "::" << GetName()
1149  << ":plotOn: frame does not specify a plot variable" << endl;
1150  return 0;
1151  }
1152 
1153  RooRealVar* dataVar = (RooRealVar*) _vars.find(*var) ;
1154  if (!dataVar) {
1155  coutE(InputArguments) << ClassName() << "::" << GetName()
1156  << ":plotOn: dataset doesn't contain plot frame variable" << endl;
1157  return 0;
1158  }
1159 
1160  o.bins = &dataVar->getBinning() ;
1162  return RooAbsData::plotOn(frame,o) ;
1163 }
1164 
1165 
1166 
1167 
1168 ////////////////////////////////////////////////////////////////////////////////
1169 
1171  return _curSumW2 ;
1172 }
1173 
1174 
1175 
1176 ////////////////////////////////////////////////////////////////////////////////
1177 /// Return the weight at given coordinates with optional
1178 /// interpolation. If intOrder is zero, the weight
1179 /// for the bin enclosing the coordinates
1180 /// contained in 'bin' is returned. For higher values,
1181 /// the result is interpolated in the real dimensions
1182 /// of the dataset
1183 
1184 Double_t RooDataHist::weight(const RooArgSet& bin, Int_t intOrder, Bool_t correctForBinSize, Bool_t cdfBoundaries, Bool_t oneSafe)
1185 {
1186  //cout << "RooDataHist::weight(" << bin << "," << intOrder << "," << correctForBinSize << "," << cdfBoundaries << "," << oneSafe << ")" << endl ;
1187 
1188  checkInit() ;
1189 
1190  // Handle illegal intOrder values
1191  if (intOrder<0) {
1192  coutE(InputArguments) << "RooDataHist::weight(" << GetName() << ") ERROR: interpolation order must be positive" << endl ;
1193  return 0 ;
1194  }
1195 
1196  // Handle no-interpolation case
1197  if (intOrder==0) {
1198  _vars.assignValueOnly(bin,oneSafe) ;
1199  Int_t idx = calcTreeIndex() ;
1200  //cout << "intOrder 0, idx = " << idx << endl ;
1201  if (correctForBinSize) {
1202  //calculatePartialBinVolume(*get()) ;
1203  //cout << "binw[" << idx << "] = " << _wgt[idx] << " / " << _binv[idx] << endl ;
1204  return _wgt[idx] / _binv[idx] ;
1205  } else {
1206  //cout << "binw[" << idx << "] = " << _wgt[idx] << endl ;
1207  return _wgt[idx] ;
1208  }
1209  }
1210 
1211  // Handle all interpolation cases
1212  _vars.assignValueOnly(bin) ;
1213 
1214  Double_t wInt(0) ;
1215  if (_realVars.getSize()==1) {
1216 
1217  // 1-dimensional interpolation
1218  RooFIter realIter = _realVars.fwdIterator() ;
1219  RooRealVar* real=(RooRealVar*)realIter.next() ;
1220  const RooAbsBinning* binning = real->getBinningPtr(0) ;
1221  wInt = interpolateDim(*real,binning,((RooAbsReal*)bin.find(*real))->getVal(), intOrder, correctForBinSize, cdfBoundaries) ;
1222 
1223  } else if (_realVars.getSize()==2) {
1224 
1225  // 2-dimensional interpolation
1226  RooFIter realIter = _realVars.fwdIterator() ;
1227  RooRealVar* realX=(RooRealVar*)realIter.next() ;
1228  RooRealVar* realY=(RooRealVar*)realIter.next() ;
1229  Double_t xval = ((RooAbsReal*)bin.find(*realX))->getVal() ;
1230  Double_t yval = ((RooAbsReal*)bin.find(*realY))->getVal() ;
1231 
1232  Int_t ybinC = realY->getBin() ;
1233  Int_t ybinLo = ybinC-intOrder/2 - ((yval<realY->getBinning().binCenter(ybinC))?1:0) ;
1234  Int_t ybinM = realY->numBins() ;
1235 
1236  Int_t i ;
1237  Double_t yarr[10] ;
1238  Double_t xarr[10] ;
1239  const RooAbsBinning* binning = realX->getBinningPtr(0) ;
1240  for (i=ybinLo ; i<=intOrder+ybinLo ; i++) {
1241  Int_t ibin ;
1242  if (i>=0 && i<ybinM) {
1243  // In range
1244  ibin = i ;
1245  realY->setBin(ibin) ;
1246  xarr[i-ybinLo] = realY->getVal() ;
1247  } else if (i>=ybinM) {
1248  // Overflow: mirror
1249  ibin = 2*ybinM-i-1 ;
1250  realY->setBin(ibin) ;
1251  xarr[i-ybinLo] = 2*realY->getMax()-realY->getVal() ;
1252  } else {
1253  // Underflow: mirror
1254  ibin = -i -1;
1255  realY->setBin(ibin) ;
1256  xarr[i-ybinLo] = 2*realY->getMin()-realY->getVal() ;
1257  }
1258  yarr[i-ybinLo] = interpolateDim(*realX,binning,xval,intOrder,correctForBinSize,kFALSE) ;
1259  }
1260 
1261  if (gDebug>7) {
1262  cout << "RooDataHist interpolating data is" << endl ;
1263  cout << "xarr = " ;
1264  for (int q=0; q<=intOrder ; q++) cout << xarr[q] << " " ;
1265  cout << " yarr = " ;
1266  for (int q=0; q<=intOrder ; q++) cout << yarr[q] << " " ;
1267  cout << endl ;
1268  }
1269  wInt = RooMath::interpolate(xarr,yarr,intOrder+1,yval) ;
1270 
1271  } else {
1272 
1273  // Higher dimensional scenarios not yet implemented
1274  coutE(InputArguments) << "RooDataHist::weight(" << GetName() << ") interpolation in "
1275  << _realVars.getSize() << " dimensions not yet implemented" << endl ;
1276  return weight(bin,0) ;
1277 
1278  }
1279 
1280  // Cut off negative values
1281 // if (wInt<=0) {
1282 // wInt=0 ;
1283 // }
1284 
1285  //cout << "RooDataHist wInt = " << wInt << endl ;
1286  return wInt ;
1287 }
1288 
1289 
1290 
1291 
1292 ////////////////////////////////////////////////////////////////////////////////
1293 /// Return the error on current weight
1294 
1296 {
1297  checkInit() ;
1298 
1299  switch (etype) {
1300 
1301  case Auto:
1302  throw string(Form("RooDataHist::weightError(%s) error type Auto not allowed here",GetName())) ;
1303  break ;
1304 
1305  case Expected:
1306  throw string(Form("RooDataHist::weightError(%s) error type Expected not allowed here",GetName())) ;
1307  break ;
1308 
1309  case Poisson:
1310  if (_curWgtErrLo>=0) {
1311  // Weight is preset or precalculated
1312  lo = _curWgtErrLo ;
1313  hi = _curWgtErrHi ;
1314  return ;
1315  }
1316 
1317  // Calculate poisson errors
1318  Double_t ym,yp ;
1320  _curWgtErrLo = weight()-ym ;
1321  _curWgtErrHi = yp-weight() ;
1324  lo = _curWgtErrLo ;
1325  hi = _curWgtErrHi ;
1326  return ;
1327 
1328  case SumW2:
1329  lo = sqrt(_curSumW2) ;
1330  hi = sqrt(_curSumW2) ;
1331  return ;
1332 
1333  case None:
1334  lo = 0 ;
1335  hi = 0 ;
1336  return ;
1337  }
1338 }
1339 
1340 
1341 // wve adjust for variable bin sizes
1342 
1343 ////////////////////////////////////////////////////////////////////////////////
1344 /// Perform boundary safe 'intOrder'-th interpolation of weights in dimension 'dim'
1345 /// at current value 'xval'
1346 
1347 Double_t RooDataHist::interpolateDim(RooRealVar& dim, const RooAbsBinning* binning, Double_t xval, Int_t intOrder, Bool_t correctForBinSize, Bool_t cdfBoundaries)
1348 {
1349  // Fill workspace arrays spanning interpolation area
1350  Int_t fbinC = dim.getBin(*binning) ;
1351  Int_t fbinLo = fbinC-intOrder/2 - ((xval<binning->binCenter(fbinC))?1:0) ;
1352  Int_t fbinM = dim.numBins(*binning) ;
1353 
1354 
1355  Int_t i ;
1356  Double_t yarr[10] ;
1357  Double_t xarr[10] ;
1358  for (i=fbinLo ; i<=intOrder+fbinLo ; i++) {
1359  Int_t ibin ;
1360  if (i>=0 && i<fbinM) {
1361  // In range
1362  ibin = i ;
1363  dim.setBinFast(ibin,*binning) ;
1364  //cout << "INRANGE: dim.getVal(ibin=" << ibin << ") = " << dim.getVal() << endl ;
1365  xarr[i-fbinLo] = dim.getVal() ;
1366  Int_t idx = calcTreeIndex() ;
1367  yarr[i-fbinLo] = _wgt[idx] ;
1368  if (correctForBinSize) yarr[i-fbinLo] /= _binv[idx] ;
1369  } else if (i>=fbinM) {
1370  // Overflow: mirror
1371  ibin = 2*fbinM-i-1 ;
1372  dim.setBinFast(ibin,*binning) ;
1373  //cout << "OVERFLOW: dim.getVal(ibin=" << ibin << ") = " << dim.getVal() << endl ;
1374  if (cdfBoundaries) {
1375  xarr[i-fbinLo] = dim.getMax()+1e-10*(i-fbinM+1) ;
1376  yarr[i-fbinLo] = 1.0 ;
1377  } else {
1378  Int_t idx = calcTreeIndex() ;
1379  xarr[i-fbinLo] = 2*dim.getMax()-dim.getVal() ;
1380  yarr[i-fbinLo] = _wgt[idx] ;
1381  if (correctForBinSize) yarr[i-fbinLo] /= _binv[idx] ;
1382  }
1383  } else {
1384  // Underflow: mirror
1385  ibin = -i - 1 ;
1386  dim.setBinFast(ibin,*binning) ;
1387  //cout << "UNDERFLOW: dim.getVal(ibin=" << ibin << ") = " << dim.getVal() << endl ;
1388  if (cdfBoundaries) {
1389  xarr[i-fbinLo] = dim.getMin()-ibin*(1e-10) ; ;
1390  yarr[i-fbinLo] = 0.0 ;
1391  } else {
1392  Int_t idx = calcTreeIndex() ;
1393  xarr[i-fbinLo] = 2*dim.getMin()-dim.getVal() ;
1394  yarr[i-fbinLo] = _wgt[idx] ;
1395  if (correctForBinSize) yarr[i-fbinLo] /= _binv[idx] ;
1396  }
1397  }
1398  //cout << "ibin = " << ibin << endl ;
1399  }
1400 // for (int k=0 ; k<=intOrder ; k++) {
1401 // cout << "k=" << k << " x = " << xarr[k] << " y = " << yarr[k] << endl ;
1402 // }
1403  dim.setBinFast(fbinC,*binning) ;
1404  Double_t ret = RooMath::interpolate(xarr,yarr,intOrder+1,xval) ;
1405  return ret ;
1406 }
1407 
1408 
1409 
1410 
1411 ////////////////////////////////////////////////////////////////////////////////
1412 /// Increment the weight of the bin enclosing the coordinates given
1413 /// by 'row' by the specified amount. Add the sum of weights squared
1414 /// for the bin by 'sumw2' rather than wgt^2
1415 
1416 void RooDataHist::add(const RooArgSet& row, Double_t wgt, Double_t sumw2)
1417 {
1418  checkInit() ;
1419 
1420 // cout << "RooDataHist::add() accepted coordinate is " << endl ;
1421 // _vars.Print("v") ;
1422 
1423  _vars = row ;
1424  Int_t idx = calcTreeIndex() ;
1425  _wgt[idx] += wgt ;
1426  _sumw2[idx] += (sumw2>0?sumw2:wgt*wgt) ;
1427  _errLo[idx] = -1 ;
1428  _errHi[idx] = -1 ;
1429 
1431 }
1432 
1433 
1434 
1435 ////////////////////////////////////////////////////////////////////////////////
1436 /// Increment the weight of the bin enclosing the coordinates
1437 /// given by 'row' by the specified amount. Associate errors
1438 /// [wgtErrLo,wgtErrHi] with the event weight on this bin.
1439 
1440 void RooDataHist::set(const RooArgSet& row, Double_t wgt, Double_t wgtErrLo, Double_t wgtErrHi)
1441 {
1442  checkInit() ;
1443 
1444  _vars = row ;
1445  Int_t idx = calcTreeIndex() ;
1446  _wgt[idx] = wgt ;
1447  _errLo[idx] = wgtErrLo ;
1448  _errHi[idx] = wgtErrHi ;
1449 
1451 }
1452 
1453 
1454 
1455 ////////////////////////////////////////////////////////////////////////////////
1456 /// Increment the weight of the bin enclosing the coordinates
1457 /// given by 'row' by the specified amount. Associate errors
1458 /// [wgtErrLo,wgtErrHi] with the event weight on this bin.
1459 
1461 {
1462  checkInit() ;
1463 
1464  if (_curIndex<0) {
1465  _curIndex = calcTreeIndex() ;
1466  }
1467 
1468  _wgt[_curIndex] = wgt ;
1469  _errLo[_curIndex] = wgtErr ;
1470  _errHi[_curIndex] = wgtErr ;
1471  _sumw2[_curIndex] = wgtErr*wgtErr ;
1472 
1474 }
1475 
1476 
1477 
1478 ////////////////////////////////////////////////////////////////////////////////
1479 /// Increment the weight of the bin enclosing the coordinates
1480 /// given by 'row' by the specified amount. Associate errors
1481 /// [wgtErrLo,wgtErrHi] with the event weight on this bin.
1482 
1483 void RooDataHist::set(const RooArgSet& row, Double_t wgt, Double_t wgtErr)
1484 {
1485  checkInit() ;
1486 
1487  _vars = row ;
1488  Int_t idx = calcTreeIndex() ;
1489  _wgt[idx] = wgt ;
1490  _errLo[idx] = wgtErr ;
1491  _errHi[idx] = wgtErr ;
1492  _sumw2[idx] = wgtErr*wgtErr ;
1493 
1495 }
1496 
1497 
1498 
1499 ////////////////////////////////////////////////////////////////////////////////
1500 /// Add all data points contained in 'dset' to this data set with given weight.
1501 /// Optional cut string expression selects the data points to be added and can
1502 /// reference any variable contained in this data set
1503 
1504 void RooDataHist::add(const RooAbsData& dset, const char* cut, Double_t wgt)
1505 {
1506  RooFormulaVar cutVar("select",cut,*dset.get()) ;
1507  add(dset,&cutVar,wgt) ;
1508 }
1509 
1510 
1511 
1512 ////////////////////////////////////////////////////////////////////////////////
1513 /// Add all data points contained in 'dset' to this data set with given weight.
1514 /// Optional RooFormulaVar pointer selects the data points to be added.
1515 
1516 void RooDataHist::add(const RooAbsData& dset, const RooFormulaVar* cutVar, Double_t wgt)
1517 {
1518  checkInit() ;
1519 
1520  RooFormulaVar* cloneVar = 0;
1521  RooArgSet* tmp(0) ;
1522  if (cutVar) {
1523  // Deep clone cutVar and attach clone to this dataset
1524  tmp = (RooArgSet*) RooArgSet(*cutVar).snapshot() ;
1525  if (!tmp) {
1526  coutE(DataHandling) << "RooDataHist::add(" << GetName() << ") Couldn't deep-clone cut variable, abort," << endl ;
1527  return ;
1528  }
1529 
1530  cloneVar = (RooFormulaVar*) tmp->find(*cutVar) ;
1531  cloneVar->attachDataSet(dset) ;
1532  }
1533 
1534 
1535  Int_t i ;
1536  for (i=0 ; i<dset.numEntries() ; i++) {
1537  const RooArgSet* row = dset.get(i) ;
1538  if (!cloneVar || cloneVar->getVal()) {
1539  add(*row,wgt*dset.weight(), wgt*wgt*dset.weightSquared()) ;
1540  }
1541  }
1542 
1543  if (cloneVar) {
1544  delete tmp ;
1545  }
1546 
1548 }
1549 
1550 
1551 
1552 ////////////////////////////////////////////////////////////////////////////////
1553 /// Return the sum of the weights of all hist bins.
1554 ///
1555 /// If correctForBinSize is specified, the sum of weights
1556 /// is multiplied by the N-dimensional bin volume,
1557 /// making the return value the integral over the function
1558 /// represented by this histogram
1559 
1560 Double_t RooDataHist::sum(Bool_t correctForBinSize, Bool_t inverseBinCor) const
1561 {
1562  checkInit() ;
1563 
1564  // Check if result was cached
1565  Int_t cache_code = 1 + (correctForBinSize?1:0) + ((correctForBinSize&&inverseBinCor)?1:0) ;
1566  if (_cache_sum_valid==cache_code) {
1567  return _cache_sum ;
1568  }
1569 
1570  Int_t i ;
1571  Double_t total(0), carry(0);
1572  for (i=0 ; i<_arrSize ; i++) {
1573 
1574  Double_t theBinVolume = correctForBinSize ? (inverseBinCor ? 1/_binv[i] : _binv[i]) : 1.0 ;
1575  // cout << "total += " << _wgt[i] << "*" << theBinVolume << endl ;
1576  Double_t y = _wgt[i]*theBinVolume - carry;
1577  Double_t t = total + y;
1578  carry = (t - total) - y;
1579  total = t;
1580  }
1581 
1582  // Store result in cache
1583  _cache_sum_valid=cache_code ;
1584  _cache_sum = total ;
1585 
1586  return total ;
1587 }
1588 
1589 
1590 
1591 ////////////////////////////////////////////////////////////////////////////////
1592 /// Return the sum of the weights of a multi-dimensional slice of the histogram
1593 /// by summing only over the dimensions specified in sumSet.
1594 ///
1595 /// The coordinates of all other dimensions are fixed to those given in sliceSet
1596 ///
1597 /// If correctForBinSize is specified, the sum of weights
1598 /// is multiplied by the M-dimensional bin volume, (M = N(sumSet)),
1599 /// making the return value the integral over the function
1600 /// represented by this histogram
1601 
1602 Double_t RooDataHist::sum(const RooArgSet& sumSet, const RooArgSet& sliceSet, Bool_t correctForBinSize, Bool_t inverseBinCor)
1603 {
1604  checkInit() ;
1605 
1606  RooArgSet varSave ;
1607  varSave.addClone(_vars) ;
1608 
1609  RooArgSet* sliceOnlySet = new RooArgSet(sliceSet) ;
1610  sliceOnlySet->remove(sumSet,kTRUE,kTRUE) ;
1611 
1612  _vars = *sliceOnlySet ;
1613  calculatePartialBinVolume(*sliceOnlySet) ;
1614  delete sliceOnlySet ;
1615 
1616  TIterator* ssIter = sumSet.createIterator() ;
1617 
1618  // Calculate mask and refence plot bins for non-iterating variables
1619  RooAbsArg* arg ;
1620  Bool_t* mask = new Bool_t[_vars.getSize()] ;
1621  Int_t* refBin = new Int_t[_vars.getSize()] ;
1622 
1623  Int_t i(0) ;
1624  _iterator->Reset() ;
1625  while((arg=(RooAbsArg*)_iterator->Next())) {
1626  if (sumSet.find(*arg)) {
1627  mask[i] = kFALSE ;
1628  } else {
1629  mask[i] = kTRUE ;
1630  // coverity[FORWARD_NULL]
1631  refBin[i] = (dynamic_cast<RooAbsLValue*>(arg))->getBin() ;
1632  }
1633  i++ ;
1634  }
1635 
1636  // Loop over entire data set, skipping masked entries
1637  Double_t total(0), carry(0);
1638  Int_t ibin ;
1639  for (ibin=0 ; ibin<_arrSize ; ibin++) {
1640 
1641  Int_t idx(0), tmp(ibin), ivar(0) ;
1642  Bool_t skip(kFALSE) ;
1643 
1644  // Check if this bin belongs in selected slice
1645  _iterator->Reset() ;
1646  // coverity[UNUSED_VALUE]
1647  while((!skip && (arg=(RooAbsArg*)_iterator->Next()))) {
1648  idx = tmp / _idxMult[ivar] ;
1649  tmp -= idx*_idxMult[ivar] ;
1650  if (mask[ivar] && idx!=refBin[ivar]) skip=kTRUE ;
1651  ivar++ ;
1652  }
1653 
1654  if (!skip) {
1655  Double_t theBinVolume = correctForBinSize ? (inverseBinCor ? 1/(*_pbinv)[i] : (*_pbinv)[i] ) : 1.0 ;
1656 // cout << "adding bin[" << ibin << "] to sum wgt = " << _wgt[ibin] << " binv = " << theBinVolume << endl ;
1657  Double_t y = _wgt[ibin]*theBinVolume - carry;
1658  Double_t t = total + y;
1659  carry = (t - total) - y;
1660  total = t;
1661  }
1662  }
1663  delete ssIter ;
1664 
1665  delete[] mask ;
1666  delete[] refBin ;
1667 
1668  _vars = varSave ;
1669 
1670  return total ;
1671 }
1672 
1673 ////////////////////////////////////////////////////////////////////////////////
1674 /// Return the sum of the weights of a multi-dimensional slice of the histogram
1675 /// by summing only over the dimensions specified in sumSet.
1676 ///
1677 /// The coordinates of all other dimensions are fixed to those given in sliceSet
1678 ///
1679 /// If correctForBinSize is specified, the sum of weights
1680 /// is multiplied by the M-dimensional bin volume, (M = N(sumSet)),
1681 /// or the fraction of it that falls inside the range rangeName,
1682 /// making the return value the integral over the function
1683 /// represented by this histogram
1684 ///
1685 /// If correctForBinSize is not specified, the weights are multiplied by the
1686 /// fraction of the bin volume that falls inside the range, i.e. a factor or
1687 /// binVolumeInRange/totalBinVolume.
1688 
1689 Double_t RooDataHist::sum(const RooArgSet& sumSet, const RooArgSet& sliceSet,
1690  Bool_t correctForBinSize, Bool_t inverseBinCor,
1691  const std::map<const RooAbsArg*, std::pair<Double_t, Double_t> >& ranges)
1692 {
1693  checkInit();
1694  checkBinBounds();
1695  RooArgSet varSave;
1696  varSave.addClone(_vars);
1697  {
1698  RooArgSet sliceOnlySet(sliceSet);
1699  sliceOnlySet.remove(sumSet,kTRUE,kTRUE);
1700  _vars = sliceOnlySet;
1701  }
1702 
1703  // Calculate mask and refence plot bins for non-iterating variables,
1704  // and get ranges for iterating variables
1705  std::vector<bool> mask(_vars.getSize());
1706  std::vector<Int_t> refBin(_vars.getSize());
1707  std::vector<Double_t> rangeLo(_vars.getSize(), -std::numeric_limits<Double_t>::infinity());
1708  std::vector<Double_t> rangeHi(_vars.getSize(), +std::numeric_limits<Double_t>::infinity());
1709 
1710  _iterator->Reset();
1711  RooAbsArg* arg;
1712  for (Int_t i = 0; (arg=(RooAbsArg*)_iterator->Next()); ++i) {
1713  RooAbsArg* sumsetv = sumSet.find(*arg);
1714  RooAbsArg* slicesetv = sliceSet.find(*arg);
1715  mask[i] = !sumsetv;
1716  if (mask[i]) {
1717  // coverity[FORWARD_NULL]
1718  refBin[i] = (dynamic_cast<RooAbsLValue*>(arg))->getBin();
1719  }
1720  std::map<const RooAbsArg*, std::pair<Double_t, Double_t> >::const_iterator
1721  it = ranges.find(sumsetv ? sumsetv : slicesetv);
1722  if (ranges.end() != it) {
1723  rangeLo[i] = it->second.first;
1724  rangeHi[i] = it->second.second;
1725  }
1726  }
1727 
1728  // Loop over entire data set, skipping masked entries
1729  Double_t total(0), carry(0);
1730  for (Int_t ibin = 0; ibin < _arrSize; ++ibin) {
1731  // Check if this bin belongs in selected slice
1732  _iterator->Reset();
1733  Bool_t skip(kFALSE);
1734  // coverity[UNUSED_VALUE]
1735  for (Int_t ivar = 0, tmp = ibin;
1736  (!skip && (arg=(RooAbsArg*)_iterator->Next())); ++ivar) {
1737  const Int_t idx = tmp / _idxMult[ivar];
1738  tmp -= idx*_idxMult[ivar];
1739  if (mask[ivar] && idx!=refBin[ivar]) skip=kTRUE;
1740  }
1741  if (skip) continue;
1742  _iterator->Reset();
1743  // work out bin volume
1744  Double_t theBinVolume = 1.;
1745  for (Int_t ivar = 0, tmp = ibin;
1746  (arg=(RooAbsArg*)_iterator->Next()); ++ivar) {
1747  const Int_t idx = tmp / _idxMult[ivar];
1748  tmp -= idx*_idxMult[ivar];
1749  if (_binbounds[ivar].empty()) continue;
1750  const Double_t binLo = _binbounds[ivar][2 * idx];
1751  const Double_t binHi = _binbounds[ivar][2 * idx + 1];
1752  if (binHi < rangeLo[ivar] || binLo > rangeHi[ivar]) {
1753  // bin is outside of allowed range - effective bin volume is zero
1754  theBinVolume = 0.;
1755  break;
1756  }
1757  theBinVolume *=
1758  (std::min(rangeHi[ivar], binHi) - std::max(rangeLo[ivar], binLo));
1759  }
1760  const Double_t corrPartial = theBinVolume / _binv[ibin];
1761  if (0. == corrPartial) continue;
1762  const Double_t corr = correctForBinSize ? (inverseBinCor ? 1. / _binv[ibin] : _binv[ibin] ) : 1.0;
1763  //cout << "adding bin[" << ibin << "] to sum wgt = " << _wgt[ibin] << " binv = " << theBinVolume << " _binv[" << ibin << "] " << _binv[ibin] << endl;
1764 
1765  const Double_t y = _wgt[ibin] * corr * corrPartial - carry;
1766  const Double_t t = total + y;
1767  carry = (t - total) - y;
1768  total = t;
1769  }
1770 
1771  _vars = varSave;
1772 
1773  return total;
1774 }
1775 
1776 
1777 
1778 ////////////////////////////////////////////////////////////////////////////////
1779 /// Fill the transient cache with partial bin volumes with up-to-date
1780 /// values for the partial volume specified by observables 'dimSet'
1781 
1783 {
1784  // Allocate cache if not yet existing
1785  vector<Double_t> *pbinv = _pbinvCacheMgr.getObj(&dimSet) ;
1786  if (pbinv) {
1787  _pbinv = pbinv ;
1788  return ;
1789  }
1790 
1791  pbinv = new vector<Double_t>(_arrSize) ;
1792 
1793  // Calculate plot bins of components from master index
1794  Bool_t* selDim = new Bool_t[_vars.getSize()] ;
1795  _iterator->Reset() ;
1796  RooAbsArg* v ;
1797  Int_t i(0) ;
1798  while((v=(RooAbsArg*)_iterator->Next())) {
1799  selDim[i++] = dimSet.find(*v) ? kTRUE : kFALSE ;
1800  }
1801 
1802  // Recalculate partial bin volume cache
1803  Int_t ibin ;
1804  for (ibin=0 ; ibin<_arrSize ; ibin++) {
1805  _iterator->Reset() ;
1806  RooAbsLValue* arg ;
1807  Int_t j(0), idx(0), tmp(ibin) ;
1808  Double_t theBinVolume(1) ;
1809  while((arg=dynamic_cast<RooAbsLValue*>(_iterator->Next()))) {
1810  idx = tmp / _idxMult[j] ;
1811  tmp -= idx*_idxMult[j++] ;
1812  if (selDim[j-1]) {
1813  RooAbsLValue* arglv = dynamic_cast<RooAbsLValue*>(arg) ;
1814  theBinVolume *= arglv->getBinWidth(idx) ;
1815  }
1816  }
1817  (*pbinv)[ibin] = theBinVolume ;
1818  }
1819 
1820  delete[] selDim ;
1821 
1822  // Put in cache (which takes ownership)
1823  _pbinvCacheMgr.setObj(&dimSet,pbinv) ;
1824 
1825  // Publicize the array
1826  _pbinv = pbinv ;
1827 }
1828 
1829 
1830 
1831 ////////////////////////////////////////////////////////////////////////////////
1832 /// Return the number of bins
1833 
1835 {
1836  return RooAbsData::numEntries() ;
1837 }
1838 
1839 
1840 
1841 ////////////////////////////////////////////////////////////////////////////////
1842 
1844 {
1845  Int_t i ;
1846  Double_t n(0), carry(0);
1847  for (i=0 ; i<_arrSize ; i++) {
1848  if (!_binValid || _binValid[i]) {
1849  Double_t y = _wgt[i] - carry;
1850  Double_t t = n + y;
1851  carry = (t - n) - y;
1852  n = t;
1853  }
1854  }
1855  return n ;
1856 }
1857 
1858 
1859 
1860 ////////////////////////////////////////////////////////////////////////////////
1861 /// Return the sum of weights in all entries matching cutSpec (if specified)
1862 /// and in named range cutRange (if specified)
1863 /// Return the
1864 
1865 Double_t RooDataHist::sumEntries(const char* cutSpec, const char* cutRange) const
1866 {
1867  checkInit() ;
1868 
1869  if (cutSpec==0 && cutRange==0) {
1870  return sumEntries();
1871  } else {
1872 
1873  // Setup RooFormulaVar for cutSpec if it is present
1874  RooFormula* select = 0 ;
1875  if (cutSpec) {
1876  select = new RooFormula("select",cutSpec,*get()) ;
1877  }
1878 
1879  // Otherwise sum the weights in the event
1880  Double_t sumw(0), carry(0);
1881  Int_t i ;
1882  for (i=0 ; i<numEntries() ; i++) {
1883  get(i) ;
1884  if (select && select->eval()==0.) continue ;
1885  if (cutRange && !_vars.allInRange(cutRange)) continue ;
1886 
1887  if (!_binValid || _binValid[i]) {
1888  Double_t y = weight() - carry;
1889  Double_t t = sumw + y;
1890  carry = (t - sumw) - y;
1891  sumw = t;
1892  }
1893  }
1894 
1895  if (select) delete select ;
1896 
1897  return sumw ;
1898  }
1899 }
1900 
1901 
1902 
1903 ////////////////////////////////////////////////////////////////////////////////
1904 /// Reset all bin weights to zero
1905 
1907 {
1908  // WVE DO NOT CALL RooTreeData::reset() for binned
1909  // datasets as this will delete the bin definitions
1910 
1911  Int_t i ;
1912  for (i=0 ; i<_arrSize ; i++) {
1913  _wgt[i] = 0. ;
1914  _errLo[i] = -1 ;
1915  _errHi[i] = -1 ;
1916  }
1917  _curWeight = 0 ;
1918  _curWgtErrLo = -1 ;
1919  _curWgtErrHi = -1 ;
1920  _curVolume = 1 ;
1921 
1923 
1924 }
1925 
1926 
1927 
1928 ////////////////////////////////////////////////////////////////////////////////
1929 /// Return an argset with the bin center coordinates for
1930 /// bin sequential number 'masterIdx'. For iterative use.
1931 
1932 const RooArgSet* RooDataHist::get(Int_t masterIdx) const
1933 {
1934  checkInit() ;
1935  _curWeight = _wgt[masterIdx] ;
1936  _curWgtErrLo = _errLo[masterIdx] ;
1937  _curWgtErrHi = _errHi[masterIdx] ;
1938  _curSumW2 = _sumw2[masterIdx] ;
1939  _curVolume = _binv[masterIdx] ;
1940  _curIndex = masterIdx ;
1941  return RooAbsData::get(masterIdx) ;
1942 }
1943 
1944 
1945 
1946 ////////////////////////////////////////////////////////////////////////////////
1947 /// Return a RooArgSet with center coordinates of the bin
1948 /// enclosing the point 'coord'
1949 
1950 const RooArgSet* RooDataHist::get(const RooArgSet& coord) const
1951 {
1952  ((RooDataHist*)this)->_vars = coord ;
1953  return get(calcTreeIndex()) ;
1954 }
1955 
1956 
1957 
1958 ////////////////////////////////////////////////////////////////////////////////
1959 /// Return the volume of the bin enclosing coordinates 'coord'
1960 
1962 {
1963  checkInit() ;
1964  ((RooDataHist*)this)->_vars = coord ;
1965  return _binv[calcTreeIndex()] ;
1966 }
1967 
1968 
1969 ////////////////////////////////////////////////////////////////////////////////
1970 /// Set all the event weight of all bins to the specified value
1971 
1973 {
1974  for (Int_t i=0 ; i<_arrSize ; i++) {
1975  _wgt[i] = value ;
1976  }
1977 
1979 }
1980 
1981 
1982 
1983 ////////////////////////////////////////////////////////////////////////////////
1984 /// Create an iterator over all bins in a slice defined by the subset of observables
1985 /// listed in sliceArg. The position of the slice is given by otherArgs
1986 
1988 {
1989  // Update to current position
1990  _vars = otherArgs ;
1991  _curIndex = calcTreeIndex() ;
1992 
1993  RooAbsArg* intArg = _vars.find(sliceArg) ;
1994  if (!intArg) {
1995  coutE(InputArguments) << "RooDataHist::sliceIterator() variable " << sliceArg.GetName() << " is not part of this RooDataHist" << endl ;
1996  return 0 ;
1997  }
1998  return new RooDataHistSliceIter(*this,*intArg) ;
1999 }
2000 
2001 
2002 ////////////////////////////////////////////////////////////////////////////////
2003 /// Change the name of the RooDataHist
2004 
2005 void RooDataHist::SetName(const char *name)
2006 {
2007  if (_dir) _dir->GetList()->Remove(this);
2008  TNamed::SetName(name) ;
2009  if (_dir) _dir->GetList()->Add(this);
2010 }
2011 
2012 
2013 ////////////////////////////////////////////////////////////////////////////////
2014 /// Change the title of this RooDataHist
2015 
2016 void RooDataHist::SetNameTitle(const char *name, const char* title)
2017 {
2018  if (_dir) _dir->GetList()->Remove(this);
2019  TNamed::SetNameTitle(name,title) ;
2020  if (_dir) _dir->GetList()->Add(this);
2021 }
2022 
2023 
2024 ////////////////////////////////////////////////////////////////////////////////
2025 /// Print value of the dataset, i.e. the sum of weights contained in the dataset
2026 
2027 void RooDataHist::printValue(ostream& os) const
2028 {
2029  os << numEntries() << " bins (" << sumEntries() << " weights)" ;
2030 }
2031 
2032 
2033 
2034 
2035 ////////////////////////////////////////////////////////////////////////////////
2036 /// Print argument of dataset, i.e. the observable names
2037 
2038 void RooDataHist::printArgs(ostream& os) const
2039 {
2040  os << "[" ;
2041  _iterator->Reset() ;
2042  RooAbsArg* arg ;
2043  Bool_t first(kTRUE) ;
2044  while((arg=(RooAbsArg*)_iterator->Next())) {
2045  if (first) {
2046  first=kFALSE ;
2047  } else {
2048  os << "," ;
2049  }
2050  os << arg->GetName() ;
2051  }
2052  os << "]" ;
2053 }
2054 
2055 
2056 
2057 ////////////////////////////////////////////////////////////////////////////////
2058 /// Cache the datahist entries with bin centers that are inside/outside the
2059 /// current observable definitio
2060 
2062 {
2063  checkInit() ;
2064 
2065  if (!_binValid) {
2066  _binValid = new Bool_t[_arrSize] ;
2067  }
2068  TIterator* iter = _vars.createIterator() ;
2069  RooAbsArg* arg ;
2070  for (Int_t i=0 ; i<_arrSize ; i++) {
2071  get(i) ;
2072  _binValid[i] = kTRUE ;
2073  iter->Reset() ;
2074  while((arg=(RooAbsArg*)iter->Next())) {
2075  // coverity[CHECKED_RETURN]
2076  _binValid[i] &= arg->inRange(0) ;
2077  }
2078  }
2079  delete iter ;
2080 
2081 }
2082 
2083 
2084 ////////////////////////////////////////////////////////////////////////////////
2085 /// Return true if currently loaded coordinate is considered valid within
2086 /// the current range definitions of all observables
2087 
2089 {
2090  // If caching is enabled, use the precached result
2091  if (_binValid) {
2092  return _binValid[_curIndex] ;
2093  }
2094 
2095  return kTRUE ;
2096 }
2097 
2098 
2099 
2100 ////////////////////////////////////////////////////////////////////////////////
2101 /// Returns true if datasets contains entries with a non-integer weight
2102 
2104 {
2105  for (int i=0 ; i<numEntries() ; i++) {
2106  if (fabs(_wgt[i]-Int_t(_wgt[i]))>1e-10) return kTRUE ;
2107  }
2108  return kFALSE ;
2109 }
2110 
2111 
2112 
2113 
2114 ////////////////////////////////////////////////////////////////////////////////
2115 /// Print the details on the dataset contents
2116 
2117 void RooDataHist::printMultiline(ostream& os, Int_t content, Bool_t verbose, TString indent) const
2118 {
2119  RooAbsData::printMultiline(os,content,verbose,indent) ;
2120 
2121  os << indent << "Binned Dataset " << GetName() << " (" << GetTitle() << ")" << endl ;
2122  os << indent << " Contains " << numEntries() << " bins with a total weight of " << sumEntries() << endl;
2123 
2124  if (!verbose) {
2125  os << indent << " Observables " << _vars << endl ;
2126  } else {
2127  os << indent << " Observables: " ;
2129  }
2130 
2131  if(verbose) {
2132  if (_cachedVars.getSize()>0) {
2133  os << indent << " Caches " << _cachedVars << endl ;
2134  }
2135  }
2136 }
2137 
2138 
2139 
2140 ////////////////////////////////////////////////////////////////////////////////
2141 /// Stream an object of class RooDataHist.
2142 
2143 void RooDataHist::Streamer(TBuffer &R__b)
2144 {
2145  if (R__b.IsReading()) {
2146 
2147  UInt_t R__s, R__c;
2148  Version_t R__v = R__b.ReadVersion(&R__s, &R__c);
2149 
2150  if (R__v>2) {
2151 
2152  R__b.ReadClassBuffer(RooDataHist::Class(),this,R__v,R__s,R__c);
2153  initialize(0,kFALSE) ;
2154 
2155  } else {
2156 
2157  // Legacy dataset conversion happens here. Legacy RooDataHist inherits from RooTreeData
2158  // which in turn inherits from RooAbsData. Manually stream RooTreeData contents on
2159  // file here and convert it into a RooTreeDataStore which is installed in the
2160  // new-style RooAbsData base class
2161 
2162  // --- This is the contents of the streamer code of RooTreeData version 2 ---
2163  UInt_t R__s1, R__c1;
2164  Version_t R__v1 = R__b.ReadVersion(&R__s1, &R__c1); if (R__v1) { }
2165 
2166  RooAbsData::Streamer(R__b);
2167  TTree* X_tree(0) ; R__b >> X_tree;
2168  RooArgSet X_truth ; X_truth.Streamer(R__b);
2169  TString X_blindString ; X_blindString.Streamer(R__b);
2170  R__b.CheckByteCount(R__s1, R__c1, RooTreeData::Class());
2171  // --- End of RooTreeData-v1 streamer
2172 
2173  // Construct RooTreeDataStore from X_tree and complete initialization of new-style RooAbsData
2174  _dstore = new RooTreeDataStore(X_tree,_vars) ;
2175  _dstore->SetName(GetName()) ;
2176  _dstore->SetTitle(GetTitle()) ;
2177  _dstore->checkInit() ;
2178 
2179  RooDirItem::Streamer(R__b);
2180  R__b >> _arrSize;
2181  delete [] _wgt;
2182  _wgt = new Double_t[_arrSize];
2183  R__b.ReadFastArray(_wgt,_arrSize);
2184  delete [] _errLo;
2185  _errLo = new Double_t[_arrSize];
2186  R__b.ReadFastArray(_errLo,_arrSize);
2187  delete [] _errHi;
2188  _errHi = new Double_t[_arrSize];
2189  R__b.ReadFastArray(_errHi,_arrSize);
2190  delete [] _sumw2;
2191  _sumw2 = new Double_t[_arrSize];
2192  R__b.ReadFastArray(_sumw2,_arrSize);
2193  delete [] _binv;
2194  _binv = new Double_t[_arrSize];
2195  R__b.ReadFastArray(_binv,_arrSize);
2196  _realVars.Streamer(R__b);
2197  R__b >> _curWeight;
2198  R__b >> _curWgtErrLo;
2199  R__b >> _curWgtErrHi;
2200  R__b >> _curSumW2;
2201  R__b >> _curVolume;
2202  R__b >> _curIndex;
2203  R__b.CheckByteCount(R__s, R__c, RooDataHist::IsA());
2204 
2205  }
2206 
2207  } else {
2208 
2209  R__b.WriteClassBuffer(RooDataHist::Class(),this);
2210  }
2211 }
2212 
2213 
virtual Double_t getMin(const char *name=0) const
static Double_t interpolate(Double_t yArr[], Int_t nOrder, Double_t x)
Definition: RooMath.cxx:605
virtual const char * GetName() const
Returns name of object.
Definition: TNamed.h:47
virtual void setBin(Int_t ibin, const char *rangeName=0)
Set value to center of bin &#39;ibin&#39; of binning &#39;rangeName&#39; (or of default binning if no range is specif...
Bool_t IsReading() const
Definition: TBuffer.h:81
TIterator * createIterator(Bool_t dir=kIterForward) const
#define coutE(a)
Definition: RooMsgService.h:34
virtual void printStream(std::ostream &os, Int_t contents, StyleOption style, TString indent="") const
Print description of object on ostream, printing contents set by contents integer, which is interpreted as an OR of &#39;enum ContentsOptions&#39; values and in the style given by &#39;enum StyleOption&#39;.
float xmin
Definition: THbookFile.cxx:93
RooAbsDataStore is the abstract base class for data collection that use a TTree as internal storage m...
virtual Int_t WriteClassBuffer(const TClass *cl, void *pointer)=0
virtual Double_t getBinWidth(Int_t i, const char *rangeName=0) const =0
virtual Double_t getMax(const char *name=0) const
virtual Bool_t add(const RooAbsCollection &col, Bool_t silent=kFALSE)
Add a collection of arguments to this collection by calling add() for each element in the source coll...
Definition: RooArgSet.h:86
Double_t weightSquared() const
virtual const RooArgSet * get() const
Definition: RooDataHist.h:77
virtual RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) const
Plot dataset on specified frame.
Definition: RooAbsData.cxx:552
virtual void Reset()=0
short Version_t
Definition: RtypesCore.h:61
Bool_t defineDouble(const char *name, const char *argName, Int_t doubleNum, Double_t defValue=0.)
Define Double_t property name &#39;name&#39; mapped to Double_t in slot &#39;doubleNum&#39; in RooCmdArg with name ar...
virtual Bool_t valid() const
Return true if currently loaded coordinate is considered valid within the current range definitions o...
virtual const RooArgSet * get() const
Definition: RooAbsData.h:77
RooAbsCollection * selectCommon(const RooAbsCollection &refColl) const
Create a subset of the current collection, consisting only of those elements that are contained as we...
#define coutI(a)
Definition: RooMsgService.h:31
float ymin
Definition: THbookFile.cxx:93
virtual Int_t numBins(const char *rangeName=0) const
const char * getString(const char *name, const char *defaultValue="", Bool_t convEmptyToNull=kFALSE)
Return string property registered with name &#39;name&#39;.
Double_t getVal(const RooArgSet *set=0) const
Definition: RooAbsReal.h:64
virtual RooAbsData * cacheClone(const RooAbsArg *newCacheOwner, const RooArgSet *newCacheVars, const char *newName=0)
Construct a clone of this dataset that contains only the cached variables.
virtual ~RooDataHist()
Destructor.
const Double_t * GetArray() const
Definition: TArrayD.h:43
virtual void SetName(const char *name)
Set the name of the TNamed.
Definition: TNamed.cxx:131
TH1 * h
Definition: legend2.C:5
const RooAbsBinning & getBinning(const char *name=0, Bool_t verbose=kTRUE, Bool_t createOnTheFly=kFALSE) const
Return binning definition with name.
Definition: RooRealVar.cxx:267
Int_t getIndex(const RooArgSet &coord, Bool_t fast=kFALSE)
virtual Double_t GetBinContent(Int_t bin) const
Return content of bin number bin.
Definition: TH1.cxx:4639
void set(Double_t weight, Double_t wgtErr=-1)
Increment the weight of the bin enclosing the coordinates given by &#39;row&#39; by the specified amount...
Buffer base class used for serializing objects.
Definition: TBuffer.h:40
Double_t _curWgtErrHi
Definition: RooDataHist.h:177
virtual Int_t GetNbinsZ() const
Definition: TH1.h:279
RooAbsData * reduceEng(const RooArgSet &varSubset, const RooFormulaVar *cutVar, const char *cutRange=0, Int_t nStart=0, Int_t nStop=2000000000, Bool_t copyCache=kTRUE)
Implementation of RooAbsData virtual method that drives the RooAbsData::reduce() methods.
virtual Int_t CheckByteCount(UInt_t startpos, UInt_t bcnt, const TClass *clss)=0
void addUniform(Int_t nBins, Double_t xlo, Double_t xhi)
Add array of nbins uniformly sized bins in range [xlo,xhi].
Definition: RooBinning.cxx:172
Double_t _cache_sum
Is cache sum valid.
Definition: RooDataHist.h:189
int Int_t
Definition: RtypesCore.h:41
bool Bool_t
Definition: RtypesCore.h:59
STL namespace.
void importTH1Set(const RooArgList &vars, RooCategory &indexCat, std::map< std::string, TH1 *> hmap, Double_t initWgt, Bool_t doDensityCorrection)
Import data from given set of TH1/2/3 into this RooDataHist.
RooTreeDataStore is the abstract base class for data collection that use a TTree as internal storage ...
TObject * getObject(const char *name, TObject *obj=0)
Return TObject property registered with name &#39;name&#39;.
TIterator * _iterator
External variables cached with this data set.
Definition: RooAbsData.h:256
virtual RooAbsBinning * clone(const char *name=0) const =0
virtual void SetNameTitle(const char *name, const char *title)
Set all the TNamed parameters (name and title).
Definition: TNamed.cxx:145
void attachDataSet(const RooAbsData &set)
Replace server nodes with names matching the dataset variable names with those data set variables...
Definition: RooAbsArg.cxx:1497
Int_t GetSize() const
Definition: RooLinkedList.h:60
Iterator abstract base class.
Definition: TIterator.h:30
void importTH1(const RooArgList &vars, const TH1 &histo, Double_t initWgt, Bool_t doDensityCorrection)
Import data from given TH1/2/3 into this RooDataHist.
LongDouble_t Power(LongDouble_t x, LongDouble_t y)
Definition: TMath.h:628
virtual Bool_t setLabel(const char *label, Bool_t printError=kTRUE)
Set value by specifying the name of the desired state If printError is set, a message will be printed...
RooAbsBinning * bins
Definition: RooAbsData.h:123
virtual Bool_t inRange(const char *) const
Definition: RooAbsArg.h:289
virtual Double_t weightSquared() const =0
void dump2()
Debug stuff, should go...
Bool_t process(const RooCmdArg &arg)
Process given RooCmdArg.
virtual Int_t GetDimension() const
Definition: TH1.h:263
void importDHistSet(const RooArgList &vars, RooCategory &indexCat, std::map< std::string, RooDataHist *> dmap, Double_t initWgt)
Import data from given set of TH1/2/3 into this RooDataHist.
double sqrt(double)
void setBinning(const RooAbsBinning &binning, const char *name=0)
Add given binning under name &#39;name&#39; with this variable.
Definition: RooRealVar.cxx:346
std::vector< RooAbsLValue * > _lvvars
Cache manager for arrays of partial bin volumes.
Definition: RooDataHist.h:184
void appendToDir(TObject *obj, Bool_t forceMemoryResident=kFALSE)
Append object to directory.
Definition: RooDirItem.cxx:86
Double_t GetXmin() const
Definition: TAxis.h:133
virtual const char * ClassName() const
Returns name of class to which the object belongs.
Definition: TObject.cxx:135
virtual Int_t numBins(const char *rangeName) const
Returm the number of fit bins ( = number of types )
#define TRACE_CREATE
Definition: RooTrace.h:22
RooDataSet is a container class to hold N-dimensional binned data.
Definition: RooDataHist.h:40
virtual void attachCache(const RooAbsArg *newOwner, const RooArgSet &cachedVars)
Internal method – Attach dataset copied with cache contents to copied instances of functions...
Definition: RooAbsData.cxx:309
void Class()
Definition: Class.C:29
void initialize(const char *binningName=0, Bool_t fillTree=kTRUE)
Initialization procedure: allocate weights array, calculate multipliers needed for N-space to 1-dim a...
Bool_t allInRange(const char *rangeSpec) const
Return true if all contained object report to have their value inside the specified range...
void checkBinBounds() const
std::vector< Int_t > _idxMult
Definition: RooDataHist.h:163
TIterator * _realIter
Definition: RooDataHist.h:172
RooVectorDataStore is the abstract base class for data collection that use a TTree as internal storag...
T * getObj(const RooArgSet *nset, Int_t *sterileIndex=0, const TNamed *isetRangeName=0)
double pow(double, double)
Double_t binVolume() const
Definition: RooDataHist.h:102
Double_t * _errHi
Definition: RooDataHist.h:167
virtual void setBinFast(Int_t ibin, const RooAbsBinning &binning)
Set value to center of bin &#39;ibin&#39; of binning &#39;rangeName&#39; (or of default binning if no range is specif...
Double_t interpolateDim(RooRealVar &dim, const RooAbsBinning *binning, Double_t xval, Int_t intOrder, Bool_t correctForBinSize, Bool_t cdfBoundaries)
Perform boundary safe &#39;intOrder&#39;-th interpolation of weights in dimension &#39;dim&#39; at current value &#39;xva...
Bool_t defineString(const char *name, const char *argName, Int_t stringNum, const char *defValue="", Bool_t appendMode=kFALSE)
Define Double_t property name &#39;name&#39; mapped to Double_t in slot &#39;stringNum&#39; in RooCmdArg with name ar...
Int_t calcTreeIndex() const
Calculate the index for the weights array corresponding to to the bin enclosing the current coordinat...
Class RooBinning is an implements RooAbsBinning in terms of an array of boundary values, posing no constraints on the choice of binning, thus allowing variable bin sizes.
Definition: RooBinning.h:29
virtual Double_t weight() const
Definition: RooDataHist.h:96
void assignFast(const RooAbsCollection &other, Bool_t setValDirty=kTRUE)
Functional equivalent of operator=() but assumes this and other collection have same layout...
virtual TList * GetList() const
Definition: TDirectory.h:147
Double_t * _errLo
Definition: RooDataHist.h:166
void defineDependency(const char *refArgName, const char *neededArgName)
Define that processing argument name refArgName requires processing of argument named neededArgName t...
RooFormula an implementation of ROOT::v5::TFormula that interfaces it to RooAbsArg value objects...
Definition: RooFormula.h:27
Double_t eval(const RooArgSet *nset=0)
Evaluate ROOT::v5::TFormula using given normalization set to be used as observables definition passed...
Definition: RooFormula.cxx:234
Bool_t defineInt(const char *name, const char *argName, Int_t intNum, Int_t defValue=0)
Define integer property name &#39;name&#39; mapped to integer in slot &#39;intNum&#39; in RooCmdArg with name argName...
void adjustBinning(const RooArgList &vars, const TH1 &href, Int_t *offset=0)
Adjust binning specification on first and optionally second and third observable to binning in given ...
virtual void weightError(Double_t &lo, Double_t &hi, ErrorType etype=Poisson) const
Return the error on current weight.
Bool_t * _binValid
Iterator over realVars.
Definition: RooDataHist.h:173
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:36
RooArgSet _realVars
Definition: RooDataHist.h:171
virtual void addClone(const RooAbsCollection &col, Bool_t silent=kFALSE)
Add a collection of arguments to this collection by calling addOwned() for each element in the source...
Definition: RooArgSet.h:94
virtual void setBin(Int_t ibin, const char *rangeName=0)=0
void printMultiline(std::ostream &os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const
Interface for detailed printing of object.
Definition: RooAbsData.cxx:805
void SetName(const char *name)
Change the name of the RooDataHist.
virtual void Add(TObject *arg)
Definition: RooLinkedList.h:62
Int_t getSize() const
virtual const RooAbsBinning * getBinningPtr(const char *rangeName) const
VecExpr< UnaryOp< Fabs< T >, VecExpr< A, T, D >, T >, T, D > fabs(const VecExpr< A, T, D > &rhs)
virtual void checkInit() const
RooArgSet _cachedVars
Definition: RooAbsData.h:254
void defineMutex(const char *argName1, const char *argName2)
Define arguments named argName1 and argName2 mutually exclusive.
Int_t getInt(const char *name, Int_t defaultValue=0)
Return integer property registered with name &#39;name&#39;.
RooAbsCollection * snapshot(Bool_t deepCopy=kTRUE) const
Take a snap shot of current collection contents: An owning collection is returned containing clones o...
virtual void add(const RooArgSet &row, Double_t wgt=1.0)
Definition: RooDataHist.h:65
RooDataHist()
Default constructor.
Definition: RooDataHist.cxx:63
SVector< double, 2 > v
Definition: Dict.h:5
RooAbsArg * at(Int_t idx) const
Definition: RooArgList.h:84
virtual TObject * Remove(TObject *obj)
Remove object from the list.
Definition: TList.cxx:679
Bool_t ok(Bool_t verbose) const
Return true of parsing was successful.
const RooCatType * lookupType(Int_t index, Bool_t printError=kFALSE) const
Find our type corresponding to the specified index, or return 0 for no match.
Int_t _arrSize
Definition: RooDataHist.h:162
virtual void printValue(std::ostream &os) const
Print value of the dataset, i.e. the sum of weights contained in the dataset.
void fillTree(TTree &t2)
Definition: testRooFit.cxx:49
unsigned int UInt_t
Definition: RtypesCore.h:42
bool verbose
char * Form(const char *fmt,...)
virtual void printMultiline(std::ostream &os, Int_t content, Bool_t verbose=kFALSE, TString indent="") const
Print the details on the dataset contents.
static const RooHistError & instance()
Return a reference to a singleton object that is created the first time this method is called...
void SetNameTitle(const char *name, const char *title)
Change the title of this RooDataHist.
TLine * l
Definition: textangle.C:4
Double_t * _binv
Definition: RooDataHist.h:169
TAxis * GetYaxis()
Definition: TH1.h:301
Class RooCmdConfig is a configurable parser for RooCmdArg named arguments.
Definition: RooCmdConfig.h:27
RooAbsData is the common abstract base class for binned and unbinned datasets.
Definition: RooAbsData.h:37
virtual void fill()
Definition: RooAbsData.cxx:262
void removeFromDir(TObject *obj)
Remove object from directory it was added to.
Definition: RooDirItem.cxx:71
virtual void ReadFastArray(Bool_t *b, Int_t n)=0
Double_t _curSumW2
Definition: RooDataHist.h:178
RooCategory represents a fundamental (non-derived) discrete value object.
Definition: RooCategory.h:24
TDirectory * _dir
Definition: RooDirItem.h:33
RooAbsArg * next()
A RooPlot is a plot frame and a container for graphics objects within that frame. ...
Definition: RooPlot.h:41
const Bool_t kFALSE
Definition: RtypesCore.h:92
void checkInit() const
Double_t sum(Bool_t correctForBinSize, Bool_t inverseCorr=kFALSE) const
Return the sum of the weights of all hist bins.
static unsigned int total
virtual Int_t ReadClassBuffer(const TClass *cl, void *pointer, const TClass *onfile_class=0)=0
Double_t * _wgt
Definition: RooDataHist.h:165
RooLinkedList is an collection class for internal use, storing a collection of RooAbsArg pointers in ...
Definition: RooLinkedList.h:35
RooAbsBinning is the abstract base class for RooRealVar binning definitions This class defines the in...
Definition: RooAbsBinning.h:26
RooUniformBinning is an implementation of RooAbsBinning that provides a uniform binning in &#39;n&#39; bins b...
virtual Double_t sumEntries() const
std::vector< Double_t > * _pbinv
Definition: RooDataHist.h:182
#define ClassImp(name)
Definition: Rtypes.h:336
static Int_t init()
RooAbsArg * find(const char *name) const
Find object with given name in list.
virtual Int_t numEntries() const
Return the number of bins.
RooAbsCollection & assignValueOnly(const RooAbsCollection &other, Bool_t oneSafe=kFALSE)
The assignment operator sets the value of any argument in our set that also appears in the other set...
double Double_t
Definition: RtypesCore.h:55
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:53
RooFIter fwdIterator() const
RooDirItem is a utility base class for RooFit objects that are to be attached to ROOT directories...
Definition: RooDirItem.h:22
virtual Double_t binCenter(Int_t bin) const =0
RooAbsDataStore * _dstore
Iterator over cached variables.
Definition: RooAbsData.h:259
Double_t getDouble(const char *name, Double_t defaultValue=0)
Return Double_t property registered with name &#39;name&#39;.
virtual void setExternalWeightArray(Double_t *, Double_t *, Double_t *, Double_t *)
virtual Int_t getBin(const char *rangeName=0) const
Double_t y[n]
Definition: legend1.C:17
#define TRACE_DESTROY
Definition: RooTrace.h:23
The TH1 histogram class.
Definition: TH1.h:56
you should not use this method at all Int_t Int_t Double_t Double_t Double_t e
Definition: TRolke.cxx:630
Bool_t getPoissonInterval(Int_t n, Double_t &mu1, Double_t &mu2, Double_t nSigma=1) const
Return a confidence interval for the expected number of events given n observed (unweighted) events...
TIterator * sliceIterator(RooAbsArg &sliceArg, const RooArgSet &otherArgs)
Create an iterator over all bins in a slice defined by the subset of observables listed in sliceArg...
virtual const char * getLabel() const
Return label string of current state.
Definition: RooCategory.h:39
Double_t _curWgtErrLo
Definition: RooDataHist.h:176
const RooLinkedList & getObjectList(const char *name)
Return list of objects registered with name &#39;name&#39;.
void cacheValidEntries()
Cache the datahist entries with bin centers that are inside/outside the current observable definitio...
TAxis * GetZaxis()
Definition: TH1.h:302
Double_t * _sumw2
Definition: RooDataHist.h:168
static StorageType defaultStorageType
Definition: RooAbsData.h:220
Mother of all ROOT objects.
Definition: TObject.h:37
virtual Bool_t remove(const RooAbsArg &var, Bool_t silent=kFALSE, Bool_t matchByNameOnly=kFALSE)
Remove the specified argument from our list.
friend class RooDataHistSliceIter
Definition: RooDataHist.h:137
RooAbsRealLValue is the common abstract base class for objects that represent a real value that may a...
virtual void Add(TObject *obj)
Definition: TList.h:77
RooAbsRealLValue * getPlotVar() const
Definition: RooPlot.h:132
TIterator * MakeIterator(Bool_t dir=kTRUE) const
Return an iterator over this list.
virtual void setBin(Int_t ibin, const char *rangeName=0)
Set category to i-th fit bin, which is the i-th registered state.
virtual void reset()
Reset all bin weights to zero.
virtual TObject * Next()=0
virtual void printArgs(std::ostream &os) const
Print argument of dataset, i.e. the observable names.
virtual Double_t weight() const =0
std::vector< const RooAbsBinning * > _lvbins
List of observables casted as RooAbsLValue.
Definition: RooDataHist.h:185
Double_t _curVolume
Definition: RooDataHist.h:179
void calculatePartialBinVolume(const RooArgSet &dimSet) const
Fill the transient cache with partial bin volumes with up-to-date values for the partial volume speci...
RooCacheManager< std::vector< Double_t > > _pbinvCacheMgr
Partial bin volume array.
Definition: RooDataHist.h:183
R__EXTERN Int_t gDebug
Definition: Rtypes.h:83
Bool_t defineType(const char *label)
Define a state with given name, the lowest available positive integer is assigned as index...
virtual Bool_t isNonPoissonWeighted() const
Returns true if datasets contains entries with a non-integer weight.
float type_of_call hi(const int &, const int &)
Bool_t defineObject(const char *name, const char *argName, Int_t setNum, const TObject *obj=0, Bool_t isArray=kFALSE)
Define TObject property name &#39;name&#39; mapped to object in slot &#39;setNum&#39; in RooCmdArg with name argName ...
virtual Int_t getBins(const char *name=0) const
Int_t setObj(const RooArgSet *nset, T *obj, const TNamed *isetRangeName=0)
Abstract base class for objects that are lvalues, i.e.
Definition: RooAbsLValue.h:26
Definition: first.py:1
virtual Int_t GetNbinsX() const
Definition: TH1.h:277
RooAbsArg is the common abstract base class for objects that represent a value (of arbitrary type) an...
Definition: RooAbsArg.h:66
RooArgSet _vars
Definition: RooAbsData.h:253
float * q
Definition: THbookFile.cxx:87
virtual void SetTitle(const char *title="")
Set the title of the TNamed.
Definition: TNamed.cxx:155
void setAllWeights(Double_t value)
Set all the event weight of all bins to the specified value.
const Bool_t kTRUE
Definition: RtypesCore.h:91
Double_t GetXmax() const
Definition: TAxis.h:134
static char * skip(char **buf, const char *delimiters)
Definition: civetweb.c:2039
const Int_t n
Definition: legend1.C:16
virtual RooPlot * plotOn(RooPlot *frame, PlotOpt o) const
Back end function to plotting functionality.
std::vector< std::vector< Double_t > > _binbounds
List of used binnings associated with lvalues.
Definition: RooDataHist.h:186
const TArrayD * GetXbins() const
Definition: TAxis.h:130
Int_t _curIndex
Definition: RooDataHist.h:180
TAxis * GetXaxis()
Definition: TH1.h:300
virtual Int_t numEntries() const
Definition: RooAbsData.cxx:269
virtual Version_t ReadVersion(UInt_t *start=0, UInt_t *bcnt=0, const TClass *cl=0)=0
virtual Int_t numBins(const char *rangeName=0) const =0
virtual const char * GetTitle() const
Returns title of object.
Definition: TNamed.h:48
virtual Int_t GetNbinsY() const
Definition: TH1.h:278
Int_t _cache_sum_valid
list of bin bounds per dimension
Definition: RooDataHist.h:188
virtual Double_t GetBinError(Int_t bin) const
Return value of error associated to bin number bin.
Definition: TH1.cxx:8175
RooCmdArg is a named container for two doubles, two integers two object points and three string point...
Definition: RooCmdArg.h:27
Double_t _curWeight
Valid bins with current range definition.
Definition: RooDataHist.h:175
Bool_t correctForBinWidth
Definition: RooAbsData.h:133