RooHistFunc.cxx

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/*****************************************************************************
 * Project: RooFit                                                           *
 * Package: RooFitCore                                                       *
 * @(#)root/roofit:$Id$
 * 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)             *
 *****************************************************************************/
 
/**
\file RooHistFunc.cxx
\class RooHistFunc
\ingroup Roofitcore
 
RooHistFunc implements a real-valued function sampled from a 
multidimensional histogram. The histogram can have an arbitrary number of real or 
discrete dimensions and may have negative values.
**/
 
#include "RooHistFunc.h"
#include "RooDataHist.h"
#include "RooMsgService.h"
#include "RooRealVar.h"
#include "RooCategory.h"
#include "RooWorkspace.h"
#include "RooHistPdf.h"
#include "RooHelpers.h"
#include "RunContext.h"
 
#include "TError.h"
#include "TBuffer.h"
 
#include <stdexcept>
 
using namespace std;
 
ClassImp(RooHistFunc);
;
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Default constructor
 
RooHistFunc::RooHistFunc() :
  _dataHist(0),
  _intOrder(0),
  _cdfBoundaries(kFALSE),
  _totVolume(0),
  _unitNorm(kFALSE)
{
  TRACE_CREATE 
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Constructor from a RooDataHist. The variable listed in 'vars' control the dimensionality of the
/// function. Any additional dimensions present in 'dhist' will be projected out. RooDataHist dimensions
/// can be either real or discrete. See RooDataHist::RooDataHist for details on the binning.
/// RooHistFunc neither owns or clone 'dhist' and the user must ensure the input histogram exists
/// for the entire life span of this function.
 
RooHistFunc::RooHistFunc(const char *name, const char *title, const RooArgSet& vars, 
             const RooDataHist& dhist, Int_t intOrder) :
  RooAbsReal(name,title), 
  _depList("depList","List of dependents",this),
  _dataHist((RooDataHist*)&dhist), 
  _codeReg(10),
  _intOrder(intOrder),
  _cdfBoundaries(kFALSE),
  _totVolume(0),
  _unitNorm(kFALSE)
{
  _histObsList.addClone(vars) ;
  _depList.add(vars) ;
 
  // Verify that vars and dhist.get() have identical contents
  const RooArgSet* dvars = dhist.get() ;
  if (vars.getSize()!=dvars->getSize()) {
    coutE(InputArguments) << "RooHistFunc::ctor(" << GetName() 
           << ") ERROR variable list and RooDataHist must contain the same variables." << endl ;
    throw std::invalid_argument("RooHistFunc: ERROR variable list and RooDataHist must contain the same variables.");
  }
 
  for (const auto arg : vars) {
    if (!dvars->find(arg->GetName())) {
      coutE(InputArguments) << "RooHistFunc::ctor(" << GetName() 
             << ") ERROR variable list and RooDataHist must contain the same variables." << endl ;
      throw std::invalid_argument("RooHistFunc: ERROR variable list and RooDataHist must contain the same variables.");
    }
  }
 
  TRACE_CREATE 
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Constructor from a RooDataHist. The variable listed in 'vars' control the dimensionality of the
/// function. Any additional dimensions present in 'dhist' will be projected out. RooDataHist dimensions
/// can be either real or discrete. See RooDataHist::RooDataHist for details on the binning.
/// RooHistFunc neither owns or clone 'dhist' and the user must ensure the input histogram exists
/// for the entire life span of this function.
 
RooHistFunc::RooHistFunc(const char *name, const char *title, const RooArgList& funcObs, const RooArgList& histObs, 
             const RooDataHist& dhist, Int_t intOrder) :
  RooAbsReal(name,title), 
  _depList("depList","List of dependents",this),
  _dataHist((RooDataHist*)&dhist), 
  _codeReg(10),
  _intOrder(intOrder),
  _cdfBoundaries(kFALSE),
  _totVolume(0),
  _unitNorm(kFALSE)
{
  _histObsList.addClone(histObs) ;
  _depList.add(funcObs) ;
 
  // Verify that vars and dhist.get() have identical contents
  const RooArgSet* dvars = dhist.get() ;
  if (histObs.getSize()!=dvars->getSize()) {
    coutE(InputArguments) << "RooHistFunc::ctor(" << GetName() 
           << ") ERROR variable list and RooDataHist must contain the same variables." << endl ;
    throw std::invalid_argument("RooHistFunc: ERROR variable list and RooDataHist must contain the same variables.");
  }
 
  for (const auto arg : histObs) {
    if (!dvars->find(arg->GetName())) {
      coutE(InputArguments) << "RooHistFunc::ctor(" << GetName() 
             << ") ERROR variable list and RooDataHist must contain the same variables." << endl ;
      throw std::invalid_argument("RooHistFunc: ERROR variable list and RooDataHist must contain the same variables.");
    }
  }
 
  TRACE_CREATE 
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Copy constructor
 
RooHistFunc::RooHistFunc(const RooHistFunc& other, const char* name) :
  RooAbsReal(other,name), 
  _depList("depList",this,other._depList),
  _dataHist(other._dataHist),
  _codeReg(other._codeReg),
  _intOrder(other._intOrder),
  _cdfBoundaries(other._cdfBoundaries),
  _totVolume(other._totVolume),
  _unitNorm(other._unitNorm)
{
  TRACE_CREATE 
 
  _histObsList.addClone(other._histObsList) ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
 
RooHistFunc::~RooHistFunc() 
{ 
  TRACE_DESTROY
}
 
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Return the current value: The value of the bin enclosing the current coordinates
/// of the dependents, normalized by the histograms contents. Interpolation
/// is applied if the RooHistFunc is configured to do that
 
Double_t RooHistFunc::evaluate() const
{
  // Transfer values from   
  if (_depList.getSize()>0) {
    for (auto i = 0u; i < _histObsList.size(); ++i) {
      const auto harg = _histObsList[i];
      const auto parg = _depList[i];
 
      if (harg != parg) {
        parg->syncCache() ;
        harg->copyCache(parg,kTRUE) ;
        if (!harg->inRange(0)) {
          return 0 ;
        }
      }
    }
  }
 
  Double_t ret =  _dataHist->weightFast(_histObsList,_intOrder,kFALSE,_cdfBoundaries) ;  
  return ret ;
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Compute value of the HistFunc for every entry in `evalData`.
/// \param[in/out] evalData Struct with input data. The computation results will be stored here.
/// \param[in] normSet Set of observables to normalise over (ignored).
RooSpan<double> RooHistFunc::evaluateSpan(RooBatchCompute::RunContext& evalData, const RooArgSet* /*normSet*/) const {
  std::vector<RooSpan<const double>> inputValues;
  std::size_t batchSize = 0;
  for (const auto& obs : _depList) {
    auto realObs = dynamic_cast<const RooAbsReal*>(obs);
    if (realObs) {
      auto inputs = realObs->getValues(evalData, nullptr);
      batchSize = std::max(batchSize, inputs.size());
      inputValues.push_back(std::move(inputs));
    } else {
      inputValues.emplace_back();
    }
  }
 
  auto results = evalData.makeBatch(this, batchSize);
 
  for (std::size_t i = 0; i < batchSize; ++i) {
    bool skip = false;
 
    for (auto j = 0u; j < _histObsList.size(); ++j) {
      const auto histObs = _histObsList[j];
 
      if (i < inputValues[j].size()) {
        histObs->setCachedValue(inputValues[j][i], false);
        if (!histObs->inRange(nullptr)) {
          skip = true;
          break;
        }
      }
    }
 
    results[i] = skip ? 0. : _dataHist->weightFast(_histObsList, _intOrder, false, _cdfBoundaries);
  }
 
  return results;
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Only handle case of maximum in all variables
 
Int_t RooHistFunc::getMaxVal(const RooArgSet& vars) const 
{
  RooAbsCollection* common = _depList.selectCommon(vars) ;
  if (common->getSize()==_depList.getSize()) {
    delete common ;
    return 1;
  }
  delete common ;
  return 0 ;
}
 
////////////////////////////////////////////////////////////////////////////////
 
Double_t RooHistFunc::maxVal(Int_t code) const 
{
  R__ASSERT(code==1) ;
 
  Double_t max(-1) ;
  for (Int_t i=0 ; i<_dataHist->numEntries() ; i++) {
    _dataHist->get(i) ;
    Double_t wgt = _dataHist->weight() ;
    if (wgt>max) max=wgt ;
  }
 
  return max*1.05 ;
}
 
////////////////////////////////////////////////////////////////////////////////
/// Return the total volume spanned by the observables of the RooDataHist
 
Double_t RooHistFunc::totVolume() const
{
  // Return previously calculated value, if any
  if (_totVolume>0) {
    return _totVolume ;
  }
  _totVolume = 1. ;
  for (const auto arg : _depList) {
    RooRealVar* real = dynamic_cast<RooRealVar*>(arg) ;
    if (real) {
      _totVolume *= (real->getMax()-real->getMin()) ;
    } else {
      RooCategory* cat = dynamic_cast<RooCategory*>(arg) ;
      if (cat) {
   _totVolume *= cat->numTypes() ;
      }
    }
  }
 
  return _totVolume ;
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Determine integration scenario. If no interpolation is used,
/// RooHistFunc can perform all integrals over its dependents
/// analytically via partial or complete summation of the input
/// histogram. If interpolation is used, only the integral
/// over all RooHistPdf observables is implemented.
 
Int_t RooHistFunc::getAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* rangeName) const 
{
    return RooHistPdf::getAnalyticalIntegral(allVars, analVars, rangeName, _histObsList, _depList, _intOrder);
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Return integral identified by 'code'. The actual integration
/// is deferred to RooDataHist::sum() which implements partial
/// or complete summation over the histograms contents
 
Double_t RooHistFunc::analyticalIntegral(Int_t code, const char* rangeName) const 
{
    return RooHistPdf::analyticalIntegral(code, rangeName, _histObsList, _depList, *_dataHist, true);
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Return sampling hint for making curves of (projections) of this function
/// as the recursive division strategy of RooCurve cannot deal efficiently
/// with the vertical lines that occur in a non-interpolated histogram
 
list<Double_t>* RooHistFunc::plotSamplingHint(RooAbsRealLValue& obs, Double_t xlo, Double_t xhi) const
{
  // No hints are required when interpolation is used
  if (_intOrder>1) {
    return 0 ;
  }
 
 
  // Find histogram observable corresponding to pdf observable
  RooAbsArg* hobs(0) ;
  for (auto i = 0u; i < _histObsList.size(); ++i) {
    const auto harg = _histObsList[i];
    const auto parg = _depList[i];
    if (string(parg->GetName())==obs.GetName()) {
      hobs=harg ; 
    }
  }
  if (!hobs) {
    return 0 ;
  }
 
  // Check that observable is in dataset, if not no hint is generated
  RooAbsLValue* lvarg = dynamic_cast<RooAbsLValue*>(_dataHist->get()->find(hobs->GetName())) ;
  if (!lvarg) {
    return 0 ;
  }
 
  // Retrieve position of all bin boundaries
  const RooAbsBinning* binning = lvarg->getBinningPtr(0) ;
  Double_t* boundaries = binning->array() ;
 
  list<Double_t>* hint = new list<Double_t> ;
 
  // Widen range slighty
  xlo = xlo - 0.01*(xhi-xlo) ;
  xhi = xhi + 0.01*(xhi-xlo) ;
 
  Double_t delta = (xhi-xlo)*1e-8 ;
 
  // Construct array with pairs of points positioned epsilon to the left and
  // right of the bin boundaries
  for (Int_t i=0 ; i<binning->numBoundaries() ; i++) {
    if (boundaries[i]>=xlo && boundaries[i]<=xhi) {
      hint->push_back(boundaries[i]-delta) ;
      hint->push_back(boundaries[i]+delta) ;
    }
  }
 
  return hint ;
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Return sampling hint for making curves of (projections) of this function
/// as the recursive division strategy of RooCurve cannot deal efficiently
/// with the vertical lines that occur in a non-interpolated histogram
 
std::list<Double_t>* RooHistFunc::binBoundaries(RooAbsRealLValue& obs, Double_t xlo, Double_t xhi) const 
{
  // No hints are required when interpolation is used
  if (_intOrder>1) {
    return 0 ;
  }
 
  // Find histogram observable corresponding to pdf observable
  RooAbsArg* hobs(0) ;
  for (auto i = 0u; i < _histObsList.size(); ++i) {
    const auto harg = _histObsList[i];
    const auto parg = _depList[i];
    if (string(parg->GetName())==obs.GetName()) {
      hobs=harg ; 
    }
  }
 
  // cout << "RooHistFunc::bb(" << GetName() << ") histObs = " << _histObsList << endl ;
  // cout << "RooHistFunc::bb(" << GetName() << ") pdfObs = " << _depList << endl ;
 
  RooAbsRealLValue* transform(0) ;
  if (!hobs) {
 
    // Considering alternate: input observable is histogram observable and pdf observable is transformation in terms of it
    RooAbsArg* pobs(0) ;
    for (auto i = 0u; i < _histObsList.size(); ++i) {
      const auto harg = _histObsList[i];
      const auto parg = _depList[i];
      if (string(harg->GetName())==obs.GetName()) {
        pobs=parg ;
        hobs=harg ;
      }
    }
 
    // Not found, or check that matching pdf observable is an l-value dependent on histogram observable fails
    if (!hobs || !(pobs->dependsOn(obs) && dynamic_cast<RooAbsRealLValue*>(pobs))) {
      cout << "RooHistFunc::binBoundaries(" << GetName() << ") obs = " << obs.GetName() << " hobs is not found, returning null" << endl ;
      return 0 ;
    }
 
    // Now we are in business - we are in a situation where the pdf observable LV(x), mapping to a histogram observable x
    // We can return bin boundaries by mapping the histogram boundaties through the inverse of the LV(x) transformation
    transform = dynamic_cast<RooAbsRealLValue*>(pobs) ;
  }
 
 
  // cout << "hobs = " << hobs->GetName() << endl ;
  // cout << "transform = " << (transform?transform->GetName():"<none>") << endl ;
 
  // Check that observable is in dataset, if not no hint is generated
  RooAbsArg* xtmp = _dataHist->get()->find(hobs->GetName()) ;
  if (!xtmp) {
    cout << "RooHistFunc::binBoundaries(" << GetName() << ") hobs = " << hobs->GetName() << " is not found in dataset?" << endl ;
    _dataHist->get()->Print("v") ;
    return 0 ;
  }
  RooAbsLValue* lvarg = dynamic_cast<RooAbsLValue*>(_dataHist->get()->find(hobs->GetName())) ;
  if (!lvarg) {
    cout << "RooHistFunc::binBoundaries(" << GetName() << ") hobs = " << hobs->GetName() << " but is not an LV, returning null" << endl ;
    return 0 ;
  }
 
  // Retrieve position of all bin boundaries
  const RooAbsBinning* binning = lvarg->getBinningPtr(0) ;
  Double_t* boundaries = binning->array() ;
 
  list<Double_t>* hint = new list<Double_t> ;
 
  Double_t delta = (xhi-xlo)*1e-8 ;
 
  // Construct array with pairs of points positioned epsilon to the left and
  // right of the bin boundaries
  for (Int_t i=0 ; i<binning->numBoundaries() ; i++) {
    if (boundaries[i]>xlo-delta && boundaries[i]<xhi+delta) {
      
      Double_t boundary = boundaries[i] ;
      if (transform) {
   transform->setVal(boundary) ;
   //cout << "transform bound " << boundary << " using " << transform->GetName() << " result " << obs.getVal() << endl ;
   hint->push_back(obs.getVal()) ;
      } else { 
   hint->push_back(boundary) ;
      }
    }
  }
 
  return hint ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Check if our datahist is already in the workspace.
/// In case of error, return true.
Bool_t RooHistFunc::importWorkspaceHook(RooWorkspace& ws) 
{  
  // Check if dataset with given name already exists
  RooAbsData* wsdata = ws.embeddedData(_dataHist->GetName()) ;
 
  if (wsdata) {
    // If our data is exactly the same, we are done:
    if (static_cast<RooDataHist*>(wsdata) == _dataHist)
      return false;
 
    // Yes it exists - now check if it is identical to our internal histogram 
    if (wsdata->InheritsFrom(RooDataHist::Class())) {
 
      // Check if histograms are identical
      if (areIdentical((RooDataHist&)*wsdata,*_dataHist)) {
 
        // Exists and is of correct type, and identical -- adjust internal pointer to WS copy
        _dataHist = (RooDataHist*) wsdata ;
      } else {
 
        // not identical, clone rename and import
        TString uniqueName = Form("%s_%s",_dataHist->GetName(),GetName()) ;
        Bool_t flag = ws.import(*_dataHist,RooFit::Rename(uniqueName.Data()),RooFit::Embedded()) ;
        if (flag) {
          coutE(ObjectHandling) << " RooHistPdf::importWorkspaceHook(" << GetName() << ") unable to import clone of underlying RooDataHist with unique name " << uniqueName << ", abort" << endl ;
          return kTRUE ;
        }
        _dataHist = (RooDataHist*) ws.embeddedData(uniqueName.Data()) ;
      }
 
    } else {
 
      // Exists and is NOT of correct type: clone rename and import
      TString uniqueName = Form("%s_%s",_dataHist->GetName(),GetName()) ;
      Bool_t flag = ws.import(*_dataHist,RooFit::Rename(uniqueName.Data()),RooFit::Embedded()) ;
      if (flag) {
        coutE(ObjectHandling) << " RooHistPdf::importWorkspaceHook(" << GetName() << ") unable to import clone of underlying RooDataHist with unique name " << uniqueName << ", abort" << endl ;
        return kTRUE ;
      }
      _dataHist = (RooDataHist*) ws.embeddedData(uniqueName.Data()) ;
 
    }
    return kFALSE ;
  }
 
  // We need to import our datahist into the workspace
  ws.import(*_dataHist,RooFit::Embedded()) ;
 
  // Redirect our internal pointer to the copy in the workspace
  _dataHist = (RooDataHist*) ws.embeddedData(_dataHist->GetName()) ;
  return kFALSE ;
}
 
 
////////////////////////////////////////////////////////////////////////////////
 
Bool_t RooHistFunc::areIdentical(const RooDataHist& dh1, const RooDataHist& dh2) 
{
  if (fabs(dh1.sumEntries()-dh2.sumEntries())>1e-8) return kFALSE ;
  if (dh1.numEntries() != dh2.numEntries()) return kFALSE ;
  for (int i=0 ; i < dh1.numEntries() ; i++) {
    dh1.get(i) ;
    dh2.get(i) ;
    if (fabs(dh1.weight()-dh2.weight())>1e-8) return kFALSE ;
  }
  using RooHelpers::getColonSeparatedNameString;
  if (getColonSeparatedNameString(*dh1.get()) != getColonSeparatedNameString(*dh2.get())) return kFALSE ;
  return kTRUE ;
}
 
 
 
////////////////////////////////////////////////////////////////////////////////
/// Stream an object of class RooHistFunc.
 
void RooHistFunc::Streamer(TBuffer &R__b)
{
   if (R__b.IsReading()) {
      R__b.ReadClassBuffer(RooHistFunc::Class(),this);
      // WVE - interim solution - fix proxies here
      _proxyList.Clear() ;
      registerProxy(_depList) ;
   } else {
      R__b.WriteClassBuffer(RooHistFunc::Class(),this);
   }
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Schema evolution: if histObsList wasn't filled from persistence (v1)
/// then fill it here. Can't be done in regular schema evolution in LinkDef
/// as _depList content is not guaranteed to be initialized there
 
void RooHistFunc::ioStreamerPass2() 
{
  if (_histObsList.getSize()==0) {
    _histObsList.addClone(_depList) ;
  }
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Compute bin number corresponding to current coordinates.
/// \return If a bin is not in the current range of the observables, return -1.
Int_t RooHistFunc::getBin() const {
  if (!_depList.empty()) {
    for (auto i = 0u; i < _histObsList.size(); ++i) {
      const auto harg = _histObsList[i];
      const auto parg = _depList[i];
 
      if (harg != parg) {
        parg->syncCache() ;
        harg->copyCache(parg,kTRUE) ;
        if (!harg->inRange(nullptr)) {
          return -1;
        }
      }
    }
  }
 
  return _dataHist->getIndex(_histObsList, true);
}
 
 
////////////////////////////////////////////////////////////////////////////////
/// Compute bin numbers corresponding to all coordinates in `evalData`.
/// \return Vector of bin numbers. If a bin is not in the current range of the observables, return -1.
std::vector<Int_t> RooHistFunc::getBins(RooBatchCompute::RunContext& evalData) const {
  std::vector<RooSpan<const double>> depData;
  for (const auto dep : _depList) {
    auto real = dynamic_cast<const RooAbsReal*>(dep);
    if (real) {
      depData.push_back(real->getValues(evalData, nullptr));
    } else {
      depData.emplace_back(nullptr, 0);
    }
  }
 
  const auto batchSize = std::max_element(depData.begin(), depData.end(),
      [](const RooSpan<const double>& a, const RooSpan<const double>& b){ return a.size() < b.size(); })->size();
  std::vector<Int_t> results;
 
  for (std::size_t evt = 0; evt < batchSize; ++evt) {
    if (!_depList.empty()) {
      for (auto i = 0u; i < _histObsList.size(); ++i) {
        const auto harg = _histObsList[i];
 
        if (evt < depData[i].size())
          harg->setCachedValue(depData[i][evt], false);
 
        if (!harg->inRange(nullptr)) {
          results.push_back(-1);
          continue;
        }
      }
    }
 
    results.push_back(_dataHist->getIndex(_histObsList, true));
  }
 
  return results;
}