/usr/include/root/RooAcceptReject.h is in libroot-roofit-dev 5.34.30-0ubuntu8.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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* Project: RooFit *
* Package: RooFitCore *
* File: $Id: RooAcceptReject.h,v 1.16 2007/05/11 09:11:30 verkerke Exp $
* 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) *
*****************************************************************************/
#ifndef ROO_ACCEPT_REJECT
#define ROO_ACCEPT_REJECT
#include "RooAbsNumGenerator.h"
#include "RooPrintable.h"
#include "RooArgSet.h"
class RooAbsReal;
class RooRealVar;
class RooDataSet;
class RooRealBinding;
class RooNumGenFactory ;
class RooAcceptReject : public RooAbsNumGenerator {
public:
RooAcceptReject() : _nextCatVar(0), _nextRealVar(0) {
// coverity[UNINIT_CTOR]
} ;
RooAcceptReject(const RooAbsReal &func, const RooArgSet &genVars, const RooNumGenConfig& config, Bool_t verbose=kFALSE, const RooAbsReal* maxFuncVal=0);
RooAbsNumGenerator* clone(const RooAbsReal& func, const RooArgSet& genVars, const RooArgSet& /*condVars*/,
const RooNumGenConfig& config, Bool_t verbose=kFALSE, const RooAbsReal* maxFuncVal=0) const {
return new RooAcceptReject(func,genVars,config,verbose,maxFuncVal) ;
}
virtual ~RooAcceptReject();
const RooArgSet *generateEvent(UInt_t remaining, Double_t& resampleRatio);
Double_t getFuncMax() ;
// Advertisement of capabilities
virtual Bool_t canSampleConditional() const { return kTRUE ; }
virtual Bool_t canSampleCategories() const { return kTRUE ; }
protected:
friend class RooNumGenFactory ;
static void registerSampler(RooNumGenFactory& fact) ;
void addEventToCache();
const RooArgSet *nextAcceptedEvent();
Double_t _maxFuncVal, _funcSum; // Maximum function value found, and sum of all samples made
UInt_t _realSampleDim,_catSampleMult;// Number of real and discrete dimensions to be samplesd
UInt_t _minTrials; // Minimum number of max.finding trials, total number of samples
UInt_t _totalEvents; // Total number of function samples
UInt_t _eventsUsed; // Accepted number of function samples
TIterator *_nextCatVar; // Iterator of categories to be generated
TIterator *_nextRealVar; // Iterator over variables to be generated
UInt_t _minTrialsArray[4]; // Minimum number of trials samples for 1,2,3 dimensional problems
ClassDef(RooAcceptReject,0) // Context for generating a dataset from a PDF
};
#endif
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