/*
 *====================================================================
 *
 *  CBM Level 1 Reconstruction 
 *  
 *  Authors: I.Kisel,  S.Gorbunov
 *
 *  e-mail : ikisel@kip.uni-heidelberg.de 
 *
 *====================================================================
 *
 *  Standalone RICH ring finder based on the Elastic Neural Net
 *
 *====================================================================
 */



// CBM includes
#include "CbmL1RichENNRingFinder.h"
#include "CbmL1RichENNRingFinderParallel.h"

#include "CbmRichHit.h"
#include "CbmRichRing.h"

#include "TClonesArray.h"
#include "TStopwatch.h"

#include "assert.h"
#include <algorithm>
#include <iostream>
#include <vector>
#include <cmath>

using std::vector;
using std::cout;
using std::endl;
using std::ios;
using std::sqrt;
using std::fabs;


ClassImp(CbmL1RichENNRingFinder)

CbmL1RichENNRingFinder::CbmL1RichENNRingFinder(Int_t verbose ):
  finder(new CbmL1RichENNRingFinderParallel(verbose)),
  fRecoTime(0),
  fNEvents(0)
{}

CbmL1RichENNRingFinder::~CbmL1RichENNRingFinder()
{
}


void CbmL1RichENNRingFinder::Init()
{ 
}

Int_t CbmL1RichENNRingFinder::DoFind( TClonesArray* HitArray, TClonesArray* ProjArray,
				      TClonesArray* RingArray )
{
  return finder->DoFind( HitArray, ProjArray, RingArray );
}