RooAddModel.cxx

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/*****************************************************************************
 * Project: RooFit                                                           *
 * Package: RooFitCore                                                       *
 * @(#)root/roofitcore:$Id$
 * Authors:                                                                  *
 *   WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu       *
 *   DK, David Kirkby,    UC Irvine,         dkirkby@uci.edu                 *
 *                                                                           *
 * Copyright (c) 2000-2005, Regents of the University of California          *
 *                          and Stanford University. All rights reserved.    *
 *                                                                           *
 * Redistribution and use in source and binary forms,                        *
 * with or without modification, are permitted according to the terms        *
 * listed in LICENSE (http://roofit.sourceforge.net/license.txt)             *
 *****************************************************************************/
 
//////////////////////////////////////////////////////////////////////////////
/// \class RooAddModel
///
/// RooAddModel is an efficient implementation of a sum of PDFs of the form
/// \f[
///  c_1 \cdot \mathrm{PDF}_1 + c_2 \cdot \mathrm{PDF}_2 + ... + c_n \cdot \mathrm{PDF}_n
/// \f]
/// or
/// \f[
///  c_1 \cdot \mathrm{PDF}_1 + c_2 \cdot \mathrm{PDF}_2 + ... + \left( 1-\sum_{i=1}^{n-1} c_i \right) \cdot \mathrm{PDF}_n
/// \f]
/// The first form is for extended likelihood fits, where the
/// expected number of events is \f$ \sum_i c_i \f$. The coefficients \f$ c_i \f$
/// can either be explicitly provided, or, if all components support
/// extended likelihood fits, they can be calculated from the contribution
/// of each PDF to the total number of expected events.
///
/// In the second form, the sum of the coefficients is enforced to be one,
/// and the coefficient of the last PDF is calculated from that condition.
///
/// RooAddModel relies on each component PDF to be normalized, and will perform
/// no normalization other than calculating the proper last coefficient \f$ c_n \f$, if requested.
/// An (enforced) condition for this assumption is that each \f$ \mathrm{PDF}_i \f$ is independent
/// of each coefficient \f$ i \f$.
///
///
 
#include "RooAddModel.h"
 
#include "RooFit.h"
#include "RooMsgService.h"
#include "RooDataSet.h"
#include "RooRealProxy.h"
#include "RooPlot.h"
#include "RooRealVar.h"
#include "RooAddGenContext.h"
#include "RooRealConstant.h"
#include "RooNameReg.h"
#include "RooRealIntegral.h"
 
using namespace std;
 
ClassImp(RooAddModel);
;
 
 
////////////////////////////////////////////////////////////////////////////////
 
RooAddModel::RooAddModel() :
  _refCoefNorm("!refCoefNorm","Reference coefficient normalization set",this,kFALSE,kFALSE),
  _refCoefRangeName(0),
  _projectCoefs(false),
  _projCacheMgr(this,10),
  _intCacheMgr(this,10),
  _codeReg(10),
  _snormList(0),
  _haveLastCoef(false),
  _allExtendable(false)
{
  _coefCache = new Double_t[10] ;
  _coefErrCount = _errorCount ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Generic constructor from list of PDFs and list of coefficients.
/// Each pdf list element (i) is paired with coefficient list element (i).
/// The number of coefficients must be either equal to the number of PDFs,
/// in which case extended MLL fitting is enabled, or be one less.
///
/// All PDFs must inherit from RooAbsPdf. All coefficients must inherit from RooAbsReal.
 
RooAddModel::RooAddModel(const char *name, const char *title, const RooArgList& inPdfList, const RooArgList& inCoefList, Bool_t ownPdfList) :
  RooResolutionModel(name,title,(static_cast<RooResolutionModel*>(inPdfList.at(0)))->convVar()),
  _refCoefNorm("!refCoefNorm","Reference coefficient normalization set",this,kFALSE,kFALSE),
  _refCoefRangeName(0),
  _projectCoefs(kFALSE),
  _projCacheMgr(this,10),
  _intCacheMgr(this,10),
  _codeReg(10),
  _pdfList("!pdfs","List of PDFs",this),
  _coefList("!coefficients","List of coefficients",this),
  _haveLastCoef(kFALSE),
  _allExtendable(kFALSE)
{ 
  if (inPdfList.getSize()>inCoefList.getSize()+1) {
    std::stringstream msgSs;
    msgSs << "RooAddModel::RooAddModel(" << GetName()
          << ") number of pdfs and coefficients inconsistent, must have Npdf=Ncoef or Npdf=Ncoef+1";
    const std::string msgStr = msgSs.str();
    coutE(InputArguments) << msgStr << endl;
    throw std::runtime_error(msgStr);
  }
 
  // Constructor with N PDFs and N or N-1 coefs
  auto pdfIter = inPdfList.fwdIterator() ;
 
  for(auto const& coef : inCoefList) {
    auto pdf = pdfIter.next() ;
    if (!pdf) {
      std::stringstream msgSs;
      msgSs << "RooAddModel::RooAddModel(" << GetName() 
            << ") number of pdfs and coefficients inconsistent, must have Npdf=Ncoef or Npdf=Ncoef+1";
      const std::string msgStr = msgSs.str();
      coutE(InputArguments) << msgStr << endl;
      throw std::runtime_error(msgStr);
    }
    if (!dynamic_cast<RooAbsReal*>(coef)) {
      coutE(InputArguments) << "RooAddModel::RooAddModel(" << GetName() << ") coefficient " << coef->GetName() << " is not of type RooAbsReal, ignored" << endl ;
      continue ;
    }
    if (!dynamic_cast<RooAbsPdf*>(pdf)) {
      coutE(InputArguments) << "RooAddModel::RooAddModel(" << GetName() << ") pdf " << pdf->GetName() << " is not of type RooAbsPdf, ignored" << endl ;
      continue ;
    }
    _pdfList.add(*pdf) ;
    _coefList.add(*coef) ;    
  }
 
  if (auto pdf = pdfIter.next()) {
    if (!dynamic_cast<RooAbsPdf*>(pdf)) {
      std::stringstream msgSs;
      msgSs << "RooAddModel::RooAddModel(" << GetName() << ") last pdf " << pdf->GetName() << " is not of type RooAbsPdf, fatal error";
      const std::string msgStr = msgSs.str();
      coutE(InputArguments) << msgStr << endl;
      throw std::runtime_error(msgStr);
    }
    _pdfList.add(*pdf) ;  
  } else {
    _haveLastCoef=kTRUE ;
  }
 
  _coefCache = new Double_t[_pdfList.getSize()] ;
  _coefErrCount = _errorCount ;
 
  if (ownPdfList) {
    _ownedComps.addOwned(_pdfList) ;
  }
 
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Copy constructor
 
RooAddModel::RooAddModel(const RooAddModel& other, const char* name) :
  RooResolutionModel(other,name),
  _refCoefNorm("!refCoefNorm",this,other._refCoefNorm),
  _refCoefRangeName((TNamed*)other._refCoefRangeName),
  _projectCoefs(other._projectCoefs),
  _projCacheMgr(other._projCacheMgr,this),
  _intCacheMgr(other._intCacheMgr,this),
  _codeReg(other._codeReg),
  _pdfList("!pdfs",this,other._pdfList),
  _coefList("!coefficients",this,other._coefList),
  _haveLastCoef(other._haveLastCoef),
  _allExtendable(other._allExtendable)
{
  _coefCache = new Double_t[_pdfList.getSize()] ;
  _coefErrCount = _errorCount ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Destructor
 
RooAddModel::~RooAddModel()
{
  if (_coefCache) delete[] _coefCache ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// By default the interpretation of the fraction coefficients is
/// performed in the contextual choice of observables. This makes the
/// shape of the p.d.f explicitly dependent on the choice of
/// observables. This method instructs RooAddModel to freeze the
/// interpretation of the coefficients to be done in the given set of
/// observables. If frozen, fractions are automatically transformed
/// from the reference normalization set to the contextual normalization
/// set by ratios of integrals
 
void RooAddModel::fixCoefNormalization(const RooArgSet& refCoefNorm) 
{
  if (refCoefNorm.getSize()==0) {
    _projectCoefs = kFALSE ;
    return ;
  }
  _projectCoefs = kTRUE ;  
 
  _refCoefNorm.removeAll() ;
  _refCoefNorm.add(refCoefNorm) ;
 
  _projCacheMgr.reset() ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// By default the interpretation of the fraction coefficients is
/// performed in the default range. This make the shape of a RooAddModel
/// explicitly dependent on the range of the observables. To allow
/// a range independent definition of the fraction this function
/// instructs RooAddModel to freeze its interpretation in the given
/// named range. If the current normalization range is different
/// from the reference range, the appropriate fraction coefficients
/// are automically calculation from the reference fractions using
/// ratios if integrals
 
void RooAddModel::fixCoefRange(const char* rangeName)
{
  _refCoefRangeName = (TNamed*)RooNameReg::ptr(rangeName) ;
  if (_refCoefRangeName) _projectCoefs = kTRUE ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Instantiate a clone of this resolution model representing a convolution with given
/// basis function. The owners object name is incorporated in the clones name
/// to avoid multiple convolution objects with the same name in complex PDF structures.
///
/// RooAddModel will clone all the component models to create a composite convolution object
 
RooResolutionModel* RooAddModel::convolution(RooFormulaVar* inBasis, RooAbsArg* owner) const
{
  // Check that primary variable of basis functions is our convolution variable  
  if (inBasis->getParameter(0) != x.absArg()) {
    coutE(InputArguments) << "RooAddModel::convolution(" << GetName() 
           << ") convolution parameter of basis function and PDF don't match" << endl ;
    ccoutE(InputArguments) << "basis->findServer(0) = " << inBasis->findServer(0) << " " << inBasis->findServer(0)->GetName() << endl ;
    ccoutE(InputArguments) << "x.absArg()           = " << x.absArg() << " " << x.absArg()->GetName() << endl ;
    inBasis->Print("v") ;
    return 0 ;
  }
 
  TString newName(GetName()) ;
  newName.Append("_conv_") ;
  newName.Append(inBasis->GetName()) ;
  newName.Append("_[") ;
  newName.Append(owner->GetName()) ;
  newName.Append("]") ;
 
  TString newTitle(GetTitle()) ;
  newTitle.Append(" convoluted with basis function ") ;
  newTitle.Append(inBasis->GetName()) ;
 
  RooArgList modelList ;
  for (auto obj : _pdfList) {
    auto model = static_cast<RooResolutionModel*>(obj);
    // Create component convolution
    RooResolutionModel* conv = model->convolution(inBasis,owner) ;    
    modelList.add(*conv) ;
  }
 
  RooArgList theCoefList ;  
  for (auto coef : _coefList) {
    theCoefList.add(*coef) ;
  }
    
  RooAddModel* convSum = new RooAddModel(newName,newTitle,modelList,theCoefList,kTRUE) ;
  for (std::set<std::string>::const_iterator attrIt = _boolAttrib.begin();
      attrIt != _boolAttrib.end(); ++attrIt) {
    convSum->setAttribute((*attrIt).c_str()) ;
  }
  for (std::map<std::string,std::string>::const_iterator attrIt = _stringAttrib.begin();
      attrIt != _stringAttrib.end(); ++attrIt) {
    convSum->setStringAttribute((attrIt->first).c_str(), (attrIt->second).c_str()) ;
  }
  convSum->changeBasis(inBasis) ;
  return convSum ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Return code for basis function representing by 'name' string.
/// The basis code of the first component model will be returned,
/// if the basis is supported by all components. Otherwise 0
/// is returned
 
Int_t RooAddModel::basisCode(const char* name) const 
{
  Bool_t first(kTRUE), code(0) ;
  for (auto obj : _pdfList) {
    auto model = static_cast<RooResolutionModel*>(obj);
    Int_t subCode = model->basisCode(name) ;
    if (first) {
      code = subCode ;
      first = kFALSE ;
    } else if (subCode==0) {
      code = 0 ;
    }
  }
 
  return code ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Retrieve cache element with for calculation of p.d.f value with normalization set nset and integrated over iset
/// in range 'rangeName'. If cache element does not exist, create and fill it on the fly. The cache contains
/// suplemental normalization terms (in case not all added p.d.f.s have the same observables), projection
/// integrals to calculated transformed fraction coefficients when a frozen reference frame is provided
/// and projection integrals for similar transformations when a frozen reference range is provided.
 
RooAddModel::CacheElem* RooAddModel::getProjCache(const RooArgSet* nset, const RooArgSet* iset, const char* rangeName) const
{
  // Check if cache already exists 
  CacheElem* cache = (CacheElem*) _projCacheMgr.getObj(nset,iset,0,RooNameReg::ptr(rangeName)) ;
  if (cache) {
    return cache ;
  }
 
  //Create new cache 
  cache = new CacheElem ;
 
  // *** PART 1 : Create supplemental normalization list ***
 
  // Retrieve the combined set of dependents of this PDF ;
  RooArgSet *fullDepList = getObservables(nset) ;
  if (iset) {
    fullDepList->remove(*iset,kTRUE,kTRUE) ;
  }    
 
  // Fill with dummy unit RRVs for now
  for (unsigned int i = 0; i < _pdfList.size(); ++i) {
    auto pdf = static_cast<RooAbsPdf*>(&_pdfList[i]);
    auto coef = i < _coefList.size() ? &_coefList[i] : nullptr;
 
    // Start with full list of dependents
    RooArgSet supNSet(*fullDepList) ;
 
    // Remove PDF dependents
    RooArgSet* pdfDeps = pdf->getObservables(nset) ;
    if (pdfDeps) {
      supNSet.remove(*pdfDeps,kTRUE,kTRUE) ;
      delete pdfDeps ; 
    }
 
    // Remove coef dependents
    if (coef) {
      RooArgSet* coefDeps = coef->getObservables(nset);
      supNSet.remove(*coefDeps,kTRUE,kTRUE) ;
      delete coefDeps ;
    }
    
    RooAbsReal* snorm ;
    TString name(GetName()) ;
    name.Append("_") ;
    name.Append(pdf->GetName()) ;
    name.Append("_SupNorm") ;
    if (supNSet.getSize()>0) {
      snorm = new RooRealIntegral(name,"Supplemental normalization integral",RooRealConstant::value(1.0),supNSet) ;
    } else {
      snorm = new RooRealVar(name,"Unit Supplemental normalization integral",1.0) ;
    }
    cache->_suppNormList.addOwned(*snorm) ;
  }
 
  delete fullDepList ;
    
  if (_verboseEval>1) {
    cxcoutD(Caching) << "RooAddModel::syncSuppNormList(" << GetName() << ") synching supplemental normalization list for norm" << (nset?*nset:RooArgSet()) << endl ;
    if (dologD(Caching)) {
      cache->_suppNormList.Print("v") ;
    }
  }
 
 
  // *** PART 2 : Create projection coefficients ***
 
  // If no projections required stop here
  if (!_projectCoefs || _basis!=0 ) {
    _projCacheMgr.setObj(nset,iset,cache,RooNameReg::ptr(rangeName)) ;
    return cache ;
  }
 
 
  // Reduce iset/nset to actual dependents of this PDF
  RooArgSet* nset2 = nset ? getObservables(nset) : new RooArgSet() ;
 
  // Check if requested transformation is not identity 
  if (!nset2->equals(_refCoefNorm) || _refCoefRangeName !=0 || rangeName !=0 ) {
    
    coutI(Caching)  << "RooAddModel::syncCoefProjList(" << GetName() << ") creating coefficient projection integrals" << endl ;
    ccoutI(Caching) << "  from current normalization: "  ; nset2->Print("1") ;
    ccoutI(Caching) << "          with current range: " << (rangeName?rangeName:"<none>") << endl ;
    ccoutI(Caching) << "  to reference normalization: "  ; _refCoefNorm.Print("1") ; 
    ccoutI(Caching) << "        with reference range: " << (_refCoefRangeName?RooNameReg::str(_refCoefRangeName):"<none>") << endl ;
    
    // Recalculate projection integrals of PDFs 
    for (const auto obj : _pdfList) {
        const auto thePdf = static_cast<RooAbsPdf*>(obj);
 
      // Calculate projection integral
      RooAbsReal* pdfProj ;
      if (!nset2->equals(_refCoefNorm)) {
   pdfProj = thePdf->createIntegral(*nset2,_refCoefNorm) ;
   pdfProj->setOperMode(operMode()) ;
      } else {
   TString name(GetName()) ;
   name.Append("_") ;
   name.Append(thePdf->GetName()) ;
   name.Append("_ProjectNorm") ;
   pdfProj = new RooRealVar(name,"Unit Projection normalization integral",1.0) ;
      }
 
      cache->_projList.addOwned(*pdfProj) ;
 
      // Calculation optional supplemental normalization term
      RooArgSet supNormSet(_refCoefNorm) ;
      RooArgSet* deps = thePdf->getParameters(RooArgSet()) ;
      supNormSet.remove(*deps,kTRUE,kTRUE) ;
      delete deps ;
 
      RooAbsReal* snorm ;
      TString name(GetName()) ;
      name.Append("_") ;
      name.Append(thePdf->GetName()) ;
      name.Append("_ProjSupNorm") ;
      if (supNormSet.getSize()>0) {
   snorm = new RooRealIntegral(name,"Projection Supplemental normalization integral",
                RooRealConstant::value(1.0),supNormSet) ;
      } else {
   snorm = new RooRealVar(name,"Unit Projection Supplemental normalization integral",1.0) ;
      }
      cache->_suppProjList.addOwned(*snorm) ;
 
      // Calculate reference range adjusted projection integral
      RooAbsReal* rangeProj1 ;
      if (_refCoefRangeName && _refCoefNorm.getSize()>0) {
   rangeProj1 = thePdf->createIntegral(_refCoefNorm,_refCoefNorm,RooNameReg::str(_refCoefRangeName)) ;
   rangeProj1->setOperMode(operMode()) ;
      } else {
   TString theName(GetName()) ;
   theName.Append("_") ;
   theName.Append(thePdf->GetName()) ;
   theName.Append("_RangeNorm1") ;
   rangeProj1 = new RooRealVar(theName,"Unit range normalization integral",1.0) ;
      }
      cache->_refRangeProjList.addOwned(*rangeProj1) ;
      
 
      // Calculate range adjusted projection integral
      RooAbsReal* rangeProj2 ;
      if (rangeName && _refCoefNorm.getSize()>0) {
   rangeProj2 = thePdf->createIntegral(_refCoefNorm,_refCoefNorm,rangeName) ;
   rangeProj2->setOperMode(operMode()) ;
      } else {
   TString theName(GetName()) ;
   theName.Append("_") ;
   theName.Append(thePdf->GetName()) ;
   theName.Append("_RangeNorm2") ;
   rangeProj2 = new RooRealVar(theName,"Unit range normalization integral",1.0) ;
      }
      cache->_rangeProjList.addOwned(*rangeProj2) ;
 
    }               
 
  }
 
  delete nset2 ;
 
  _projCacheMgr.setObj(nset,iset,cache,RooNameReg::ptr(rangeName)) ;
 
  return cache ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Update the coefficient values in the given cache element: calculate new remainder
/// fraction, normalize fractions obtained from extended ML terms to unity and
/// multiply these the various range and dimensional corrections needed in the
/// current use context
 
void RooAddModel::updateCoefficients(CacheElem& cache, const RooArgSet* nset) const 
{
  // cxcoutD(ChangeTracking) << "RooAddModel::updateCoefficients(" << GetName() << ") update coefficients" << endl ;
  
  Int_t i ;
 
  // Straight coefficients
  if (_allExtendable) {
    
    // coef[i] = expectedEvents[i] / SUM(expectedEvents)
    Double_t coefSum(0) ;
    for (i=0 ; i<_pdfList.getSize() ; i++) {
      _coefCache[i] = ((RooAbsPdf*)_pdfList.at(i))->expectedEvents(_refCoefNorm.getSize()>0?&_refCoefNorm:nset) ;
      coefSum += _coefCache[i] ;
    }
    if (coefSum==0.) {
      coutW(Eval) << "RooAddModel::updateCoefCache(" << GetName() << ") WARNING: total number of expected events is 0" << endl ;
    } else {
      for (i=0 ; i<_pdfList.getSize() ; i++) {
   _coefCache[i] /= coefSum ;
      }                    
    }
    
  } else {
    if (_haveLastCoef) {
      
      // coef[i] = coef[i] / SUM(coef)
      Double_t coefSum(0) ;
      for (i=0 ; i<_coefList.getSize() ; i++) {
   _coefCache[i] = ((RooAbsPdf*)_coefList.at(i))->getVal(nset) ;
   coefSum += _coefCache[i] ;
      }     
      for (i=0 ; i<_coefList.getSize() ; i++) {
   _coefCache[i] /= coefSum ;
      }        
    } else {
      
      // coef[i] = coef[i] ; coef[n] = 1-SUM(coef[0...n-1])
      Double_t lastCoef(1) ;
      for (i=0 ; i<_coefList.getSize() ; i++) {
   _coefCache[i] = ((RooAbsPdf*)_coefList.at(i))->getVal(nset) ;
   cxcoutD(Caching) << "SYNC: orig coef[" << i << "] = " << _coefCache[i] << endl ;
   lastCoef -= _coefCache[i] ;
      }        
      _coefCache[_coefList.getSize()] = lastCoef ;
      cxcoutD(Caching) << "SYNC: orig coef[" << _coefList.getSize() << "] = " << _coefCache[_coefList.getSize()] << endl ;
      
      
      // Warn about coefficient degeneration
      if ((lastCoef<-1e-05 || (lastCoef-1)>1e-5) && _coefErrCount-->0) {
   coutW(Eval) << "RooAddModel::updateCoefCache(" << GetName() 
          << " WARNING: sum of PDF coefficients not in range [0-1], value=" 
          << 1-lastCoef << endl ;
   if (_coefErrCount==0) {
     coutW(Eval) << " (no more will be printed)" << endl  ;
   }
      } 
    }
  }
 
  
 
  // Stop here if not projection is required or needed
  if ((!_projectCoefs) || cache._projList.getSize()==0) {
    //     cout << "SYNC no projection required rangeName = " << (rangeName?rangeName:"<none>") << endl ;
    return ;
  }
 
  // Adjust coefficients for given projection
  Double_t coefSum(0) ;
  for (i=0 ; i<_pdfList.getSize() ; i++) {
    GlobalSelectComponentRAII compRAII(true);
 
    RooAbsReal* pp = ((RooAbsReal*)cache._projList.at(i)) ; 
    RooAbsReal* sn = ((RooAbsReal*)cache._suppProjList.at(i)) ; 
    RooAbsReal* r1 = ((RooAbsReal*)cache._refRangeProjList.at(i)) ;
    RooAbsReal* r2 = ((RooAbsReal*)cache._rangeProjList.at(i)) ;
    
    if (dologD(Eval)) {
      cxcoutD(Eval) << "pp = " << pp->GetName() << endl 
          << "sn = " << sn->GetName() << endl 
          << "r1 = " << r1->GetName() << endl 
          << "r2 = " << r2->GetName() << endl ;
      r1->printStream(ccoutD(Eval),kName|kArgs|kValue,kSingleLine) ;
      r1->printCompactTree(ccoutD(Eval)) ;
    }
 
    Double_t proj = pp->getVal()/sn->getVal()*(r2->getVal()/r1->getVal()) ;  
 
    _coefCache[i] *= proj ;
    coefSum += _coefCache[i] ;
  }
  for (i=0 ; i<_pdfList.getSize() ; i++) {
    _coefCache[i] /= coefSum ;
//     cout << "POST-SYNC coef[" << i << "] = " << _coefCache[i] << endl ;
  }
   
 
  
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Calculate the current value
 
Double_t RooAddModel::evaluate() const 
{
  const RooArgSet* nset = _normSet ; 
  CacheElem* cache = getProjCache(nset) ;
 
  updateCoefficients(*cache,nset) ;
 
  
  // Do running sum of coef/pdf pairs, calculate lastCoef.
  Double_t snormVal ;
  Double_t value(0) ;
  Int_t i(0) ;
  for (auto obj : _pdfList) {
    auto pdf = static_cast<RooAbsPdf*>(obj);
 
    if (_coefCache[i]!=0.) {
      snormVal = nset ? ((RooAbsReal*)cache->_suppNormList.at(i))->getVal() : 1.0 ;
      Double_t pdfVal = pdf->getVal(nset) ;
      // Double_t pdfNorm = pdf->getNorm(nset) ;
      if (pdf->isSelectedComp()) {
   value += pdfVal*_coefCache[i]/snormVal ;
   cxcoutD(Eval) << "RooAddModel::evaluate(" << GetName() << ")  value += [" 
         << pdf->GetName() << "] " << pdfVal << " * " << _coefCache[i] << " / " << snormVal << endl ;
      }
    }
    i++ ;
  }
 
  return value ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Reset error counter to given value, limiting the number
/// of future error messages for this pdf to 'resetValue'
 
void RooAddModel::resetErrorCounters(Int_t resetValue)
{
  RooAbsPdf::resetErrorCounters(resetValue) ;
  _coefErrCount = resetValue ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Check if PDF is valid for given normalization set.
/// Coeffient and PDF must be non-overlapping, but pdf-coefficient 
/// pairs may overlap each other
 
Bool_t RooAddModel::checkObservables(const RooArgSet* nset) const 
{
  Bool_t ret(kFALSE) ;
 
  for (unsigned int i = 0; i < _coefList.size(); ++i) {
    auto pdf = &_pdfList[i];
    auto coef = &_coefList[i];
 
    if (pdf->observableOverlaps(nset,*coef)) {
      coutE(InputArguments) << "RooAddModel::checkObservables(" << GetName() << "): ERROR: coefficient " << coef->GetName() 
             << " and PDF " << pdf->GetName() << " have one or more dependents in common" << endl ;
      ret = kTRUE ;
    }
  }
  
  return ret ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
 
Int_t RooAddModel::getAnalyticalIntegralWN(RooArgSet& allVars, RooArgSet& analVars, 
                const RooArgSet* normSet, const char* rangeName) const 
{
  if (_forceNumInt) return 0 ;
 
  // Declare that we can analytically integrate all requested observables
  analVars.add(allVars) ;
 
  // Retrieve (or create) the required component integral list
  Int_t code ;
  RooArgList *cilist ;
  getCompIntList(normSet,&allVars,cilist,code,rangeName) ;
  
  return code+1 ;
  
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Check if this configuration was created before
 
void RooAddModel::getCompIntList(const RooArgSet* nset, const RooArgSet* iset, pRooArgList& compIntList, Int_t& code, const char* isetRangeName) const 
{
  Int_t sterileIdx(-1) ;
 
  IntCacheElem* cache = (IntCacheElem*) _intCacheMgr.getObj(nset,iset,&sterileIdx,RooNameReg::ptr(isetRangeName)) ;
  if (cache) {
    code = _intCacheMgr.lastIndex() ;
    compIntList = &cache->_intList ;
    
    return ;
  }
 
  // Create containers for partial integral components to be generated
  cache = new IntCacheElem ;
 
  // Fill Cache
  for (auto obj : _pdfList) {
    auto model = static_cast<RooResolutionModel*>(obj);
 
    RooAbsReal* intPdf = model->createIntegral(*iset,nset,0,isetRangeName) ;
    cache->_intList.addOwned(*intPdf) ;
  }
 
  // Store the partial integral list and return the assigned code ;
  code = _intCacheMgr.setObj(nset,iset,(RooAbsCacheElement*)cache,RooNameReg::ptr(isetRangeName)) ;
 
  // Fill references to be returned
  compIntList = &cache->_intList ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Return analytical integral defined by given scenario code
 
Double_t RooAddModel::analyticalIntegralWN(Int_t code, const RooArgSet* normSet, const char* rangeName) const 
{
  // No integration scenario
  if (code==0) {
    return getVal(normSet) ;
  }
 
  // Partial integration scenarios
  IntCacheElem* cache = (IntCacheElem*) _intCacheMgr.getObjByIndex(code-1) ;
  
  RooArgList* compIntList ;
 
  // If cache has been sterilized, revive this slot
  if (cache==0) {
    std::unique_ptr<RooArgSet> vars{getParameters(RooArgSet())} ;
    RooArgSet nset = _intCacheMgr.selectFromSet1(*vars, code-1) ;
    RooArgSet iset = _intCacheMgr.selectFromSet2(*vars, code-1) ;
 
    int code2 = -1 ;
    getCompIntList(&nset,&iset,compIntList,code2,rangeName) ;
  } else {
 
    compIntList = &cache->_intList ;
 
  }
 
  // Calculate the current value
  const RooArgSet* nset = _normSet ; 
  CacheElem* pcache = getProjCache(nset) ;
 
  updateCoefficients(*pcache,nset) ;
  
  // Do running sum of coef/pdf pairs, calculate lastCoef.
  Double_t snormVal ;
  Double_t value(0) ;
  Int_t i(0) ;
  for (const auto obj : *compIntList) {
    auto pdfInt = static_cast<const RooAbsReal*>(obj);
    if (_coefCache[i]!=0.) {
      snormVal = nset ? ((RooAbsReal*)pcache->_suppNormList.at(i))->getVal() : 1.0 ;
      Double_t intVal = pdfInt->getVal(nset) ;
      value += intVal*_coefCache[i]/snormVal ;
      cxcoutD(Eval) << "RooAddModel::evaluate(" << GetName() << ")  value += [" 
            << pdfInt->GetName() << "] " << intVal << " * " << _coefCache[i] << " / " << snormVal << endl ;
    }
    i++ ;
  }
  
  return value ;
  
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Return the number of expected events, which is either the sum of all coefficients
/// or the sum of the components extended terms
 
Double_t RooAddModel::expectedEvents(const RooArgSet* nset) const 
{  
  Double_t expectedTotal(0.0);
 
  if (_allExtendable) {
    
    // Sum of the extended terms
    for (auto obj : _pdfList) {
      auto pdf = static_cast<RooAbsPdf*>(obj);
      expectedTotal += pdf->expectedEvents(nset) ;
    }   
    
  } else {
    
    // Sum the coefficients
    for (const auto obj : _coefList) {
      auto coef = static_cast<RooAbsReal*>(obj);
      expectedTotal += coef->getVal() ;
    }   
  }
 
  return expectedTotal;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Interface function used by test statistics to freeze choice of observables
/// for interpretation of fraction coefficients
 
void RooAddModel::selectNormalization(const RooArgSet* depSet, Bool_t force) 
{
  if (!force && _refCoefNorm.getSize()!=0) {
    return ;
  }
 
  if (!depSet) {
    fixCoefNormalization(RooArgSet()) ;
    return ;
  }
 
  RooArgSet* myDepSet = getObservables(depSet) ;
  fixCoefNormalization(*myDepSet) ;
  delete myDepSet ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Interface function used by test statistics to freeze choice of range
/// for interpretation of fraction coefficients
 
void RooAddModel::selectNormalizationRange(const char* rangeName, Bool_t force) 
{
  if (!force && _refCoefRangeName) {
    return ;
  }
 
  fixCoefRange(rangeName) ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Return specialized context to efficiently generate toy events from RooAddModels.
 
RooAbsGenContext* RooAddModel::genContext(const RooArgSet &vars, const RooDataSet *prototype, 
               const RooArgSet* auxProto, Bool_t verbose) const 
{
  return new RooAddGenContext(*this,vars,prototype,auxProto,verbose) ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Direct generation is safe if all components say so
 
Bool_t RooAddModel::isDirectGenSafe(const RooAbsArg& arg) const 
{
  for (auto obj : _pdfList) {
    auto pdf = static_cast<RooAbsPdf*>(obj);
 
    if (!pdf->isDirectGenSafe(arg)) {
      return kFALSE ;
    }
  }
  return kTRUE ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Return pseud-code that indicates if all components can do internal generation (1) or not (0)
 
Int_t RooAddModel::getGenerator(const RooArgSet& directVars, RooArgSet &/*generateVars*/, Bool_t /*staticInitOK*/) const
{
  for (auto obj : _pdfList) {
    auto pdf = static_cast<RooAbsPdf*>(obj);
 
    RooArgSet tmp ;
    if (pdf->getGenerator(directVars,tmp)==0) {
      return 0 ;
    }
  }
  return 1 ;  
}
 
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// This function should never be called as RooAddModel implements a custom generator context
 
void RooAddModel::generateEvent(Int_t /*code*/)
{
  assert(0) ;
}
 
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// List all RooAbsArg derived contents in this cache element
 
RooArgList RooAddModel::CacheElem::containedArgs(Action) 
{
  RooArgList allNodes;
  allNodes.add(_projList) ;
  allNodes.add(_suppProjList) ;
  allNodes.add(_refRangeProjList) ;
  allNodes.add(_rangeProjList) ;
 
  return allNodes ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// List all RooAbsArg derived contents in this cache element
 
RooArgList RooAddModel::IntCacheElem::containedArgs(Action) 
{
  RooArgList allNodes(_intList) ;
  return allNodes ;
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Customized printing of arguments of a RooAddModel to more intuitively reflect the contents of the
/// product operator construction
 
void RooAddModel::printMetaArgs(ostream& os) const 
{
  Bool_t first(kTRUE) ;
    
  os << "(" ;
  for (unsigned int i=0; i < _coefList.size(); ++i) {
    auto coef = &_coefList[i];
    auto pdf = &_pdfList[i];
    if (!first) {
      os << " + " ;
    } else {
      first = kFALSE ;
    }
    os << coef->GetName() << " * " << pdf->GetName() ;
  }
  if (_pdfList.size() > _coefList.size()) {
    os << " + [%] * " << _pdfList[_pdfList.size()-1].GetName() ;
  }
  os << ") " ;    
}