//
//
//
-AliITSNeuralTrack::AliITSNeuralTrack() : fMatrix(5,5), fVertex()
-{
+AliITSNeuralTrack::AliITSNeuralTrack() :
+fXC(0.0),
+fYC(0.0),
+fR(0.0),
+fC(0.0),
+fTanL(0.0),
+fG0(0.0),
+fDt(0.0),
+fDz(0.0),
+fStateR(0.0),
+fStatePhi(0.0),
+fStateZ(0.0),
+fMatrix(5,5),
+fChi2(0.0),
+fNSteps(0.0),
+fMass(0.1396),// default assumption: pion
+fField(2.0),// default assumption: B = 0.4 Tesla
+fPDG(0),
+fLabel(0),
+fCount(0),
+fVertex(){
// Default constructor
Int_t i;
- fMass = 0.1396; // default assumption: pion
- fField = 2.0; // default assumption: B = 0.4 Tesla
-
- fXC = fYC = fR = fC = 0.0;
- fTanL = fG0 = fDt = fDz = 0.0;
- fStateR = fStatePhi = fStateZ = fChi2 = fNSteps = 0.0;
-
- fLabel = 0;
- fCount = 0;
for (i = 0; i < 6; i++) fPoint[i] = 0;
fVertex.X() = 0.0;
//
//
//
-AliITSNeuralTrack::AliITSNeuralTrack(AliITSNeuralTrack &track)
-: TObject((TObject&)track), fMatrix(5,5), fVertex()
-{
+AliITSNeuralTrack::AliITSNeuralTrack(const AliITSNeuralTrack &track)
+: TObject((TObject&)track),
+fXC(0.0),
+fYC(0.0),
+fR(0.0),
+fC(0.0),
+fTanL(0.0),
+fG0(0.0),
+fDt(0.0),
+fDz(0.0),
+fStateR(0.0),
+fStatePhi(0.0),
+fStateZ(0.0),
+fMatrix(5,5),
+fChi2(0.0),
+fNSteps(0.0),
+fMass(0.1396),// default assumption: pion
+fField(2.0),// default assumption: B = 0.4 Tesla
+fPDG(0),
+fLabel(0),
+fCount(0),
+fVertex(){
// copy constructor
Int_t i;
//
//
//
+
+AliITSNeuralTrack& AliITSNeuralTrack::operator=(const AliITSNeuralTrack& track){
+ //assignment operator
+ this->~AliITSNeuralTrack();
+ new(this) AliITSNeuralTrack(track);
+ return *this;
+}
AliITSNeuralTrack::~AliITSNeuralTrack()
{
Int_t l;
//
//
//
-Int_t AliITSNeuralTrack::OccupationMask()
+Int_t AliITSNeuralTrack::OccupationMask() const
{
// Returns a byte which maps the occupied slots.
// Each bit represents a layer going from the less significant on.