// Class: ReadMuon_Upstream_TMVA
// Automatically generated by MethodBase::MakeClass
//

/* configuration options =====================================================

#GEN -*-*-*-*-*-*-*-*-*-*-*- general info -*-*-*-*-*-*-*-*-*-*-*-

Method         : MLP::Muon_Upstream_TMVA
TMVA Release   : 4.1.4         [262404]
ROOT Release   : 5.34/05       [336389]
Creator        : jonrob
Date           : Wed Apr 10 08:42:33 2013
Host           : Linux lxbuild175.cern.ch 2.6.18-308.4.1.el5 #1 SMP Wed Apr 18 16:26:27 CEST 2012 x86_64 x86_64 x86_64 GNU/Linux
Dir            : /afs/cern.ch/work/j/jonrob/www/ANNPID/MC12/TrainAllTks-EvalAllTks-ReweightRICH2/TMVA-NoPreSels-NoGECs/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/tanh/Muon/Upstream
Training events: 1000000
Analysis type  : [Classification]


#OPT -*-*-*-*-*-*-*-*-*-*-*-*- options -*-*-*-*-*-*-*-*-*-*-*-*-

# Set by User:
NCycles: "750" [Number of training cycles]
HiddenLayers: "29" [Specification of hidden layer architecture]
NeuronType: "tanh" [Neuron activation function type]
EstimatorType: "CE" [MSE (Mean Square Estimator) for Gaussian Likelihood or CE(Cross-Entropy) for Bernoulli Likelihood]
V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)]
VarTransform: "Norm" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"]
H: "True" [Print method-specific help message]
TrainingMethod: "BP" [Train with Back-Propagation (BP), BFGS Algorithm (BFGS), or Genetic Algorithm (GA - slower and worse)]
EpochMonitoring: "True" [Provide epoch-wise monitoring plots according to TestRate (caution: causes big ROOT output file!)]
# Default:
RandomSeed: "1" [Random seed for initial synapse weights (0 means unique seed for each run; default value '1')]
NeuronInputType: "sum" [Neuron input function type]
VerbosityLevel: "Verbose" [Verbosity level]
CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)]
IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)]
LearningRate: "2.000000e-02" [ANN learning rate parameter]
DecayRate: "1.000000e-02" [Decay rate for learning parameter]
TestRate: "10" [Test for overtraining performed at each #th epochs]
Sampling: "1.000000e+00" [Only 'Sampling' (randomly selected) events are trained each epoch]
SamplingEpoch: "1.000000e+00" [Sampling is used for the first 'SamplingEpoch' epochs, afterwards, all events are taken for training]
SamplingImportance: "1.000000e+00" [ The sampling weights of events in epochs which successful (worse estimator than before) are multiplied with SamplingImportance, else they are divided.]
SamplingTraining: "True" [The training sample is sampled]
SamplingTesting: "False" [The testing sample is sampled]
ResetStep: "50" [How often BFGS should reset history]
Tau: "3.000000e+00" [LineSearch "size step"]
BPMode: "sequential" [Back-propagation learning mode: sequential or batch]
BatchSize: "-1" [Batch size: number of events/batch, only set if in Batch Mode, -1 for BatchSize=number_of_events]
ConvergenceImprove: "1.000000e-30" [Minimum improvement which counts as improvement (<0 means automatic convergence check is turned off)]
ConvergenceTests: "-1" [Number of steps (without improvement) required for convergence (<0 means automatic convergence check is turned off)]
UseRegulator: "False" [Use regulator to avoid over-training]
UpdateLimit: "10000" [Maximum times of regulator update]
CalculateErrors: "False" [Calculates inverse Hessian matrix at the end of the training to be able to calculate the uncertainties of an MVA value]
WeightRange: "1.000000e+00" [Take the events for the estimator calculations from small deviations from the desired value to large deviations only over the weight range]
##


#VAR -*-*-*-*-*-*-*-*-*-*-*-* variables *-*-*-*-*-*-*-*-*-*-*-*-

NVar 21
TrackP                        TrackP                        TrackP                        TrackP                                                          'F'    [172.490005493,4970293.5]
TrackPt                       TrackPt                       TrackPt                       TrackPt                                                         'F'    [0.832938909531,995273.875]
TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof                                                 'F'    [0.00302399252541,2.999573946]
TrackNumDof                   TrackNumDof                   TrackNumDof                   TrackNumDof                                                     'I'    [4,28]
TrackLikelihood               TrackLikelihood               TrackLikelihood               TrackLikelihood                                                 'F'    [-99.6241531372,-0.319228202105]
TrackGhostProbability         TrackGhostProbability         TrackGhostProbability         TrackGhostProbability                                           'F'    [0.0317582078278,1]
TrackCloneDist                TrackCloneDist                TrackCloneDist                TrackCloneDist                                                  'F'    [-999,4999.73632812]
TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2                                                'F'    [2.50487555604e-05,51.0802001953]
TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF                                                'I'    [1,24]
RichUsedAero                  RichUsedAero                  RichUsedAero                  RichUsedAero                                                    'I'    [0,1]
RichUsedR1Gas                 RichUsedR1Gas                 RichUsedR1Gas                 RichUsedR1Gas                                                   'I'    [0,1]
RichAboveMuThres              RichAboveMuThres              RichAboveMuThres              RichAboveMuThres                                                'I'    [0,1]
RichAboveKaThres              RichAboveKaThres              RichAboveKaThres              RichAboveKaThres                                                'I'    [0,1]
RichDLLe                      RichDLLe                      RichDLLe                      RichDLLe                                                        'F'    [-999,107.511299133]
RichDLLmu                     RichDLLmu                     RichDLLmu                     RichDLLmu                                                       'F'    [-999,69.573600769]
RichDLLk                      RichDLLk                      RichDLLk                      RichDLLk                                                        'F'    [-999,99.5278015137]
RichDLLp                      RichDLLp                      RichDLLp                      RichDLLp                                                        'F'    [-999,62.6166000366]
RichDLLbt                     RichDLLbt                     RichDLLbt                     RichDLLbt                                                       'F'    [-999,47.8530006409]
InAccBrem                     InAccBrem                     InAccBrem                     InAccBrem                                                       'I'    [0,1]
BremPIDe                      BremPIDe                      BremPIDe                      BremPIDe                                                        'F'    [-999,4.79148387909]
VeloCharge                    VeloCharge                    VeloCharge                    VeloCharge                                                      'F'    [0.486891388893,5.4943819046]
NSpec 0


============================================================================ */

#include <vector>
#include <cmath>
#include <string>
#include <iostream>

#ifndef IClassifierReader__def
#define IClassifierReader__def

class IClassifierReader {

 public:

   // constructor
   IClassifierReader() : fStatusIsClean( true ) {}
   virtual ~IClassifierReader() {}

   // return classifier response
   virtual double GetMvaValue( const std::vector<double>& inputValues ) const = 0;

   // returns classifier status
   bool IsStatusClean() const { return fStatusIsClean; }

 protected:

   bool fStatusIsClean;
};

#endif

class ReadMuon_Upstream_TMVA : public IClassifierReader {

 public:

   // constructor
   ReadMuon_Upstream_TMVA( std::vector<std::string>& theInputVars ) 
      : IClassifierReader(),
        fClassName( "ReadMuon_Upstream_TMVA" ),
        fNvars( 21 ),
        fIsNormalised( false )
   {      
      // the training input variables
      const char* inputVars[] = { "TrackP", "TrackPt", "TrackChi2PerDof", "TrackNumDof", "TrackLikelihood", "TrackGhostProbability", "TrackCloneDist", "TrackFitVeloChi2", "TrackFitVeloNDoF", "RichUsedAero", "RichUsedR1Gas", "RichAboveMuThres", "RichAboveKaThres", "RichDLLe", "RichDLLmu", "RichDLLk", "RichDLLp", "RichDLLbt", "InAccBrem", "BremPIDe", "VeloCharge" };

      // sanity checks
      if (theInputVars.size() <= 0) {
         std::cout << "Problem in class \"" << fClassName << "\": empty input vector" << std::endl;
         fStatusIsClean = false;
      }

      if (theInputVars.size() != fNvars) {
         std::cout << "Problem in class \"" << fClassName << "\": mismatch in number of input values: "
                   << theInputVars.size() << " != " << fNvars << std::endl;
         fStatusIsClean = false;
      }

      // validate input variables
      for (size_t ivar = 0; ivar < theInputVars.size(); ivar++) {
         if (theInputVars[ivar] != inputVars[ivar]) {
            std::cout << "Problem in class \"" << fClassName << "\": mismatch in input variable names" << std::endl
                      << " for variable [" << ivar << "]: " << theInputVars[ivar].c_str() << " != " << inputVars[ivar] << std::endl;
            fStatusIsClean = false;
         }
      }

      // initialize min and max vectors (for normalisation)
      fVmin[0] = -1;
      fVmax[0] = 1;
      fVmin[1] = -1;
      fVmax[1] = 1;
      fVmin[2] = -1;
      fVmax[2] = 1;
      fVmin[3] = -1;
      fVmax[3] = 1;
      fVmin[4] = -1;
      fVmax[4] = 1;
      fVmin[5] = -1;
      fVmax[5] = 1;
      fVmin[6] = -1;
      fVmax[6] = 1;
      fVmin[7] = -1;
      fVmax[7] = 1;
      fVmin[8] = -1;
      fVmax[8] = 1;
      fVmin[9] = -1;
      fVmax[9] = 1;
      fVmin[10] = -1;
      fVmax[10] = 1;
      fVmin[11] = -1;
      fVmax[11] = 1;
      fVmin[12] = -1;
      fVmax[12] = 1;
      fVmin[13] = -1;
      fVmax[13] = 1;
      fVmin[14] = -1;
      fVmax[14] = 1;
      fVmin[15] = -1;
      fVmax[15] = 1;
      fVmin[16] = -1;
      fVmax[16] = 1;
      fVmin[17] = -1;
      fVmax[17] = 1;
      fVmin[18] = -1;
      fVmax[18] = 1;
      fVmin[19] = -1;
      fVmax[19] = 1;
      fVmin[20] = -1;
      fVmax[20] = 1;

      // initialize input variable types
      fType[0] = 'F';
      fType[1] = 'F';
      fType[2] = 'F';
      fType[3] = 'I';
      fType[4] = 'F';
      fType[5] = 'F';
      fType[6] = 'F';
      fType[7] = 'F';
      fType[8] = 'I';
      fType[9] = 'I';
      fType[10] = 'I';
      fType[11] = 'I';
      fType[12] = 'I';
      fType[13] = 'F';
      fType[14] = 'F';
      fType[15] = 'F';
      fType[16] = 'F';
      fType[17] = 'F';
      fType[18] = 'I';
      fType[19] = 'F';
      fType[20] = 'F';

      // initialize constants
      Initialize();

      // initialize transformation
      InitTransform();
   }

   // destructor
   virtual ~ReadMuon_Upstream_TMVA() {
      Clear(); // method-specific
   }

   // the classifier response
   // "inputValues" is a vector of input values in the same order as the 
   // variables given to the constructor
   double GetMvaValue( const std::vector<double>& inputValues ) const;

 private:

   // method-specific destructor
   void Clear();

   // input variable transformation

   double fMin_1[3][21];
   double fMax_1[3][21];
   void InitTransform_1();
   void Transform_1( std::vector<double> & iv, int sigOrBgd ) const;
   void InitTransform();
   void Transform( std::vector<double> & iv, int sigOrBgd ) const;

   // common member variables
   const char* fClassName;

   const size_t fNvars;
   size_t GetNvar()           const { return fNvars; }
   char   GetType( int ivar ) const { return fType[ivar]; }

   // normalisation of input variables
   const bool fIsNormalised;
   bool IsNormalised() const { return fIsNormalised; }
   double fVmin[21];
   double fVmax[21];
   double NormVariable( double x, double xmin, double xmax ) const {
      // normalise to output range: [-1, 1]
      return 2*(x - xmin)/(xmax - xmin) - 1.0;
   }

   // type of input variable: 'F' or 'I'
   char   fType[21];

   // initialize internal variables
   void Initialize();
   double GetMvaValue__( const std::vector<double>& inputValues ) const;

   // private members (method specific)

   double ActivationFnc(double x) const;
   double OutputActivationFnc(double x) const;

   int fLayers;
   int fLayerSize[3];
   double fWeightMatrix0to1[30][22];   // weight matrix from layer 0 to 1
   double fWeightMatrix1to2[1][30];   // weight matrix from layer 1 to 2

   double * fWeights[3];
};

inline void ReadMuon_Upstream_TMVA::Initialize()
{
   // build network structure
   fLayers = 3;
   fLayerSize[0] = 22; fWeights[0] = new double[22]; 
   fLayerSize[1] = 30; fWeights[1] = new double[30]; 
   fLayerSize[2] = 1; fWeights[2] = new double[1]; 
   // weight matrix from layer 0 to 1
   fWeightMatrix0to1[0][0] = -0.621749852364647;
   fWeightMatrix0to1[1][0] = 1.32731111544181;
   fWeightMatrix0to1[2][0] = 1.05598595792467;
   fWeightMatrix0to1[3][0] = 1.55226353440152;
   fWeightMatrix0to1[4][0] = -3.14428940044824;
   fWeightMatrix0to1[5][0] = -1.77750401929337;
   fWeightMatrix0to1[6][0] = -1.33343797290504;
   fWeightMatrix0to1[7][0] = 1.75014098711831;
   fWeightMatrix0to1[8][0] = -1.42107731141183;
   fWeightMatrix0to1[9][0] = -0.916512727927892;
   fWeightMatrix0to1[10][0] = -1.54157129734668;
   fWeightMatrix0to1[11][0] = -0.381811049819572;
   fWeightMatrix0to1[12][0] = -1.27639995756637;
   fWeightMatrix0to1[13][0] = -0.554480111542334;
   fWeightMatrix0to1[14][0] = -1.1802022252849;
   fWeightMatrix0to1[15][0] = 0.5824191002622;
   fWeightMatrix0to1[16][0] = -0.532938605262976;
   fWeightMatrix0to1[17][0] = 1.99116549922745;
   fWeightMatrix0to1[18][0] = -0.010028560343572;
   fWeightMatrix0to1[19][0] = 0.991358698669025;
   fWeightMatrix0to1[20][0] = -0.0192213007147504;
   fWeightMatrix0to1[21][0] = -0.442003271490941;
   fWeightMatrix0to1[22][0] = 0.457165157865404;
   fWeightMatrix0to1[23][0] = 0.405611507637047;
   fWeightMatrix0to1[24][0] = -1.15681697648372;
   fWeightMatrix0to1[25][0] = -0.811063057480229;
   fWeightMatrix0to1[26][0] = 1.14960063161071;
   fWeightMatrix0to1[27][0] = -1.45819744047974;
   fWeightMatrix0to1[28][0] = -1.40189630431968;
   fWeightMatrix0to1[0][1] = -0.197046832483269;
   fWeightMatrix0to1[1][1] = 0.0186501210989761;
   fWeightMatrix0to1[2][1] = 1.87372741387961;
   fWeightMatrix0to1[3][1] = -0.546111425052494;
   fWeightMatrix0to1[4][1] = -1.37136333013619;
   fWeightMatrix0to1[5][1] = -0.142744225866858;
   fWeightMatrix0to1[6][1] = -0.820572064153613;
   fWeightMatrix0to1[7][1] = -1.82118602718786;
   fWeightMatrix0to1[8][1] = 1.74782416398116;
   fWeightMatrix0to1[9][1] = -1.05781397842706;
   fWeightMatrix0to1[10][1] = 1.22079975637231;
   fWeightMatrix0to1[11][1] = 1.49090968470334;
   fWeightMatrix0to1[12][1] = 1.03250100436955;
   fWeightMatrix0to1[13][1] = 1.77961639028238;
   fWeightMatrix0to1[14][1] = 0.59936617986597;
   fWeightMatrix0to1[15][1] = -0.833596379917807;
   fWeightMatrix0to1[16][1] = -1.54008181851391;
   fWeightMatrix0to1[17][1] = 1.02903054375091;
   fWeightMatrix0to1[18][1] = -0.128360156393674;
   fWeightMatrix0to1[19][1] = 1.11043866357788;
   fWeightMatrix0to1[20][1] = 1.85939966178166;
   fWeightMatrix0to1[21][1] = 1.87823645715798;
   fWeightMatrix0to1[22][1] = 1.02560411716357;
   fWeightMatrix0to1[23][1] = -1.38214043942105;
   fWeightMatrix0to1[24][1] = 1.31715914957321;
   fWeightMatrix0to1[25][1] = -2.49478831778544;
   fWeightMatrix0to1[26][1] = -1.42630823903587;
   fWeightMatrix0to1[27][1] = -1.69722477454698;
   fWeightMatrix0to1[28][1] = -1.23665018813951;
   fWeightMatrix0to1[0][2] = 1.0596472343659;
   fWeightMatrix0to1[1][2] = 0.524512471918512;
   fWeightMatrix0to1[2][2] = 0.0309218352798602;
   fWeightMatrix0to1[3][2] = -0.150663024616927;
   fWeightMatrix0to1[4][2] = 0.890267709366457;
   fWeightMatrix0to1[5][2] = -0.70572899331324;
   fWeightMatrix0to1[6][2] = 1.48568219527122;
   fWeightMatrix0to1[7][2] = -1.01763808672164;
   fWeightMatrix0to1[8][2] = 0.244223822059688;
   fWeightMatrix0to1[9][2] = -0.712945224337278;
   fWeightMatrix0to1[10][2] = -0.176216004149434;
   fWeightMatrix0to1[11][2] = -0.742772569257753;
   fWeightMatrix0to1[12][2] = -0.943914722682989;
   fWeightMatrix0to1[13][2] = -0.961580740433825;
   fWeightMatrix0to1[14][2] = 0.338556971718749;
   fWeightMatrix0to1[15][2] = 1.28497983641359;
   fWeightMatrix0to1[16][2] = 0.976212031360291;
   fWeightMatrix0to1[17][2] = -0.0159093653687151;
   fWeightMatrix0to1[18][2] = -2.05713014963097;
   fWeightMatrix0to1[19][2] = -1.58057772411862;
   fWeightMatrix0to1[20][2] = 1.41120777519614;
   fWeightMatrix0to1[21][2] = 0.115342753439888;
   fWeightMatrix0to1[22][2] = 1.91102766359125;
   fWeightMatrix0to1[23][2] = 0.407277511886131;
   fWeightMatrix0to1[24][2] = 1.78059370721642;
   fWeightMatrix0to1[25][2] = -0.105839290787187;
   fWeightMatrix0to1[26][2] = -0.632583766202816;
   fWeightMatrix0to1[27][2] = -0.245466208950317;
   fWeightMatrix0to1[28][2] = -0.391307573568323;
   fWeightMatrix0to1[0][3] = -0.0721625849696921;
   fWeightMatrix0to1[1][3] = -1.6741326571961;
   fWeightMatrix0to1[2][3] = -2.74944865184972;
   fWeightMatrix0to1[3][3] = -0.638130433790085;
   fWeightMatrix0to1[4][3] = -2.1753455579458;
   fWeightMatrix0to1[5][3] = 1.24437189389581;
   fWeightMatrix0to1[6][3] = -1.75365078163426;
   fWeightMatrix0to1[7][3] = -2.00252655161614;
   fWeightMatrix0to1[8][3] = 1.66668592197083;
   fWeightMatrix0to1[9][3] = -0.544530809498162;
   fWeightMatrix0to1[10][3] = -1.5207789987062;
   fWeightMatrix0to1[11][3] = -1.24871091546814;
   fWeightMatrix0to1[12][3] = 0.108618234955178;
   fWeightMatrix0to1[13][3] = -2.74794826519903;
   fWeightMatrix0to1[14][3] = -2.20864023339491;
   fWeightMatrix0to1[15][3] = 0.134496419911;
   fWeightMatrix0to1[16][3] = 0.159572473878806;
   fWeightMatrix0to1[17][3] = -1.02294130203134;
   fWeightMatrix0to1[18][3] = 1.29471450087007;
   fWeightMatrix0to1[19][3] = -0.798956704856951;
   fWeightMatrix0to1[20][3] = -0.82394165549115;
   fWeightMatrix0to1[21][3] = 1.04261395018295;
   fWeightMatrix0to1[22][3] = 0.127586262147451;
   fWeightMatrix0to1[23][3] = -0.624522781488574;
   fWeightMatrix0to1[24][3] = 0.461651714339081;
   fWeightMatrix0to1[25][3] = 1.35743743161249;
   fWeightMatrix0to1[26][3] = 1.14296037946953;
   fWeightMatrix0to1[27][3] = -1.44006858577095;
   fWeightMatrix0to1[28][3] = 1.79422580279238;
   fWeightMatrix0to1[0][4] = 0.526478652355646;
   fWeightMatrix0to1[1][4] = -0.359127323772641;
   fWeightMatrix0to1[2][4] = 0.640864925797263;
   fWeightMatrix0to1[3][4] = -2.43142211008262;
   fWeightMatrix0to1[4][4] = -5.93742290098408;
   fWeightMatrix0to1[5][4] = 0.649229424254435;
   fWeightMatrix0to1[6][4] = 0.168761870779416;
   fWeightMatrix0to1[7][4] = 1.01406547560396;
   fWeightMatrix0to1[8][4] = 0.318593352670332;
   fWeightMatrix0to1[9][4] = -0.0420607045599754;
   fWeightMatrix0to1[10][4] = -0.225222655137356;
   fWeightMatrix0to1[11][4] = 0.169656508829422;
   fWeightMatrix0to1[12][4] = -2.64508200148249;
   fWeightMatrix0to1[13][4] = 0.466509350512487;
   fWeightMatrix0to1[14][4] = 0.916972548019293;
   fWeightMatrix0to1[15][4] = -2.22156214124711;
   fWeightMatrix0to1[16][4] = 0.640776393166684;
   fWeightMatrix0to1[17][4] = -1.20769620116063;
   fWeightMatrix0to1[18][4] = 0.370714613103028;
   fWeightMatrix0to1[19][4] = 1.30982717982553;
   fWeightMatrix0to1[20][4] = 0.836228468595326;
   fWeightMatrix0to1[21][4] = -1.55504513806165;
   fWeightMatrix0to1[22][4] = 0.689284389047228;
   fWeightMatrix0to1[23][4] = 1.60154092743612;
   fWeightMatrix0to1[24][4] = 1.27211282688881;
   fWeightMatrix0to1[25][4] = -0.487601681929861;
   fWeightMatrix0to1[26][4] = -1.94965282986307;
   fWeightMatrix0to1[27][4] = 0.176789232346806;
   fWeightMatrix0to1[28][4] = -1.90999250439153;
   fWeightMatrix0to1[0][5] = 3.58493360204875;
   fWeightMatrix0to1[1][5] = 0.890199776510086;
   fWeightMatrix0to1[2][5] = -0.713868896156181;
   fWeightMatrix0to1[3][5] = -0.0293850901481746;
   fWeightMatrix0to1[4][5] = -1.06150280778961;
   fWeightMatrix0to1[5][5] = -1.74547831189871;
   fWeightMatrix0to1[6][5] = 0.50816706591057;
   fWeightMatrix0to1[7][5] = 1.79396603277146;
   fWeightMatrix0to1[8][5] = -0.0100932718971578;
   fWeightMatrix0to1[9][5] = -1.50701393266854;
   fWeightMatrix0to1[10][5] = 0.508324314438097;
   fWeightMatrix0to1[11][5] = 0.884828105325633;
   fWeightMatrix0to1[12][5] = 0.42345492008638;
   fWeightMatrix0to1[13][5] = 1.27838354580851;
   fWeightMatrix0to1[14][5] = -1.90143691339466;
   fWeightMatrix0to1[15][5] = 1.37171836605913;
   fWeightMatrix0to1[16][5] = 0.72610061797753;
   fWeightMatrix0to1[17][5] = 0.596897081530486;
   fWeightMatrix0to1[18][5] = 1.29744341313618;
   fWeightMatrix0to1[19][5] = 0.931129449573089;
   fWeightMatrix0to1[20][5] = -0.386616633901256;
   fWeightMatrix0to1[21][5] = -1.74523946013818;
   fWeightMatrix0to1[22][5] = 0.93166668605933;
   fWeightMatrix0to1[23][5] = -0.845046058125106;
   fWeightMatrix0to1[24][5] = -0.00541736433407298;
   fWeightMatrix0to1[25][5] = 1.33433684410139;
   fWeightMatrix0to1[26][5] = 0.896707316800896;
   fWeightMatrix0to1[27][5] = -0.106996069740775;
   fWeightMatrix0to1[28][5] = 1.83438589306566;
   fWeightMatrix0to1[0][6] = 1.76792276058426;
   fWeightMatrix0to1[1][6] = -2.24782165557471;
   fWeightMatrix0to1[2][6] = 0.482265054749806;
   fWeightMatrix0to1[3][6] = -0.261001802920622;
   fWeightMatrix0to1[4][6] = 0.673860766043865;
   fWeightMatrix0to1[5][6] = -2.05432136743607;
   fWeightMatrix0to1[6][6] = -1.43478654448927;
   fWeightMatrix0to1[7][6] = 1.79706621690958;
   fWeightMatrix0to1[8][6] = 1.8868875980046;
   fWeightMatrix0to1[9][6] = -1.86210232346343;
   fWeightMatrix0to1[10][6] = 0.132809097836212;
   fWeightMatrix0to1[11][6] = -0.723243824499904;
   fWeightMatrix0to1[12][6] = 0.424454835270237;
   fWeightMatrix0to1[13][6] = 2.4161996171475;
   fWeightMatrix0to1[14][6] = -0.948891835715404;
   fWeightMatrix0to1[15][6] = -0.251247408485998;
   fWeightMatrix0to1[16][6] = -1.73392839037994;
   fWeightMatrix0to1[17][6] = 1.1228467605636;
   fWeightMatrix0to1[18][6] = 1.35479804770889;
   fWeightMatrix0to1[19][6] = 0.865230785544034;
   fWeightMatrix0to1[20][6] = 0.540904771403853;
   fWeightMatrix0to1[21][6] = -0.787505871824211;
   fWeightMatrix0to1[22][6] = -1.9337371180498;
   fWeightMatrix0to1[23][6] = 1.0395406656076;
   fWeightMatrix0to1[24][6] = 0.265288766765765;
   fWeightMatrix0to1[25][6] = -1.11912401939822;
   fWeightMatrix0to1[26][6] = -0.139338871996481;
   fWeightMatrix0to1[27][6] = -0.115470576505102;
   fWeightMatrix0to1[28][6] = 0.988534592840665;
   fWeightMatrix0to1[0][7] = -1.44287290372255;
   fWeightMatrix0to1[1][7] = 1.17564482588826;
   fWeightMatrix0to1[2][7] = 0.812366426222167;
   fWeightMatrix0to1[3][7] = -1.00557544125316;
   fWeightMatrix0to1[4][7] = -2.73853581244523;
   fWeightMatrix0to1[5][7] = 1.36575168221815;
   fWeightMatrix0to1[6][7] = 0.610147941120189;
   fWeightMatrix0to1[7][7] = -0.251655731335698;
   fWeightMatrix0to1[8][7] = -0.00886240656323481;
   fWeightMatrix0to1[9][7] = -1.52149029797058;
   fWeightMatrix0to1[10][7] = -0.165544897904451;
   fWeightMatrix0to1[11][7] = -0.719484985983338;
   fWeightMatrix0to1[12][7] = 0.53402354456471;
   fWeightMatrix0to1[13][7] = 0.0882961706966191;
   fWeightMatrix0to1[14][7] = -1.04992993777163;
   fWeightMatrix0to1[15][7] = 1.95980161820262;
   fWeightMatrix0to1[16][7] = -2.21515554344378;
   fWeightMatrix0to1[17][7] = -0.837413465552693;
   fWeightMatrix0to1[18][7] = 0.894756450215928;
   fWeightMatrix0to1[19][7] = -1.41180110616615;
   fWeightMatrix0to1[20][7] = 1.48398188461843;
   fWeightMatrix0to1[21][7] = 1.75118371184289;
   fWeightMatrix0to1[22][7] = -1.53758888026539;
   fWeightMatrix0to1[23][7] = 1.64389083588417;
   fWeightMatrix0to1[24][7] = 0.716102259780469;
   fWeightMatrix0to1[25][7] = 0.00352606871374302;
   fWeightMatrix0to1[26][7] = -0.140908257822308;
   fWeightMatrix0to1[27][7] = 0.810910115397995;
   fWeightMatrix0to1[28][7] = 0.1682874417063;
   fWeightMatrix0to1[0][8] = 2.43524918246257;
   fWeightMatrix0to1[1][8] = -1.27959136675864;
   fWeightMatrix0to1[2][8] = 2.85336890886433;
   fWeightMatrix0to1[3][8] = -1.73006853399511;
   fWeightMatrix0to1[4][8] = 1.72976159027643;
   fWeightMatrix0to1[5][8] = -0.997902593735602;
   fWeightMatrix0to1[6][8] = -1.61414555326739;
   fWeightMatrix0to1[7][8] = -2.29501621780229;
   fWeightMatrix0to1[8][8] = -1.8421383899822;
   fWeightMatrix0to1[9][8] = -0.271621109950076;
   fWeightMatrix0to1[10][8] = -3.18291921691821;
   fWeightMatrix0to1[11][8] = -0.466262996188629;
   fWeightMatrix0to1[12][8] = -1.87400040229029;
   fWeightMatrix0to1[13][8] = 0.119276936406826;
   fWeightMatrix0to1[14][8] = -1.65588058363183;
   fWeightMatrix0to1[15][8] = -1.80863852599856;
   fWeightMatrix0to1[16][8] = 1.4916599651878;
   fWeightMatrix0to1[17][8] = -1.27480840342423;
   fWeightMatrix0to1[18][8] = 0.230102511028997;
   fWeightMatrix0to1[19][8] = -0.929685332439021;
   fWeightMatrix0to1[20][8] = 0.0389088942470583;
   fWeightMatrix0to1[21][8] = 2.70819786487626;
   fWeightMatrix0to1[22][8] = 1.14997392247161;
   fWeightMatrix0to1[23][8] = -0.198613570732011;
   fWeightMatrix0to1[24][8] = -1.83705586173086;
   fWeightMatrix0to1[25][8] = 1.14820994425421;
   fWeightMatrix0to1[26][8] = -1.25520923498029;
   fWeightMatrix0to1[27][8] = -1.68450935686185;
   fWeightMatrix0to1[28][8] = 0.594572528750385;
   fWeightMatrix0to1[0][9] = 0.387931218406434;
   fWeightMatrix0to1[1][9] = 1.4708746075717;
   fWeightMatrix0to1[2][9] = -0.344211080394871;
   fWeightMatrix0to1[3][9] = -0.596029610841303;
   fWeightMatrix0to1[4][9] = -0.410491727988972;
   fWeightMatrix0to1[5][9] = -2.2011949520801;
   fWeightMatrix0to1[6][9] = 0.692068558991858;
   fWeightMatrix0to1[7][9] = 1.80854338772707;
   fWeightMatrix0to1[8][9] = -0.740711611304711;
   fWeightMatrix0to1[9][9] = -0.983874072734289;
   fWeightMatrix0to1[10][9] = 0.973415559928625;
   fWeightMatrix0to1[11][9] = 0.276004054611289;
   fWeightMatrix0to1[12][9] = -0.666659088424883;
   fWeightMatrix0to1[13][9] = 1.18557737678259;
   fWeightMatrix0to1[14][9] = 0.824750906858888;
   fWeightMatrix0to1[15][9] = 0.952639811446226;
   fWeightMatrix0to1[16][9] = 0.858163101765475;
   fWeightMatrix0to1[17][9] = 0.902062491695227;
   fWeightMatrix0to1[18][9] = -0.447915872008473;
   fWeightMatrix0to1[19][9] = 0.130664282240762;
   fWeightMatrix0to1[20][9] = -0.501210476335255;
   fWeightMatrix0to1[21][9] = -1.09847581440651;
   fWeightMatrix0to1[22][9] = -0.932663108758027;
   fWeightMatrix0to1[23][9] = -1.48953058794694;
   fWeightMatrix0to1[24][9] = -0.833541898096207;
   fWeightMatrix0to1[25][9] = -2.58390960991518;
   fWeightMatrix0to1[26][9] = 2.89028188071305;
   fWeightMatrix0to1[27][9] = -1.58196363144138;
   fWeightMatrix0to1[28][9] = 1.60670878386155;
   fWeightMatrix0to1[0][10] = -1.40824572903622;
   fWeightMatrix0to1[1][10] = 1.78798146406331;
   fWeightMatrix0to1[2][10] = -0.856416262581229;
   fWeightMatrix0to1[3][10] = 0.915319503167458;
   fWeightMatrix0to1[4][10] = 0.486126158350295;
   fWeightMatrix0to1[5][10] = -1.47048048065924;
   fWeightMatrix0to1[6][10] = 0.145729581121149;
   fWeightMatrix0to1[7][10] = 1.51493491868825;
   fWeightMatrix0to1[8][10] = -1.95492654487515;
   fWeightMatrix0to1[9][10] = -1.5820326768188;
   fWeightMatrix0to1[10][10] = -1.74674731349605;
   fWeightMatrix0to1[11][10] = -1.57860668231817;
   fWeightMatrix0to1[12][10] = 1.11321358800889;
   fWeightMatrix0to1[13][10] = -0.704921030849089;
   fWeightMatrix0to1[14][10] = 0.702792669149091;
   fWeightMatrix0to1[15][10] = -1.04609889504516;
   fWeightMatrix0to1[16][10] = -1.98242618612968;
   fWeightMatrix0to1[17][10] = -1.83863295003596;
   fWeightMatrix0to1[18][10] = -0.571872073289533;
   fWeightMatrix0to1[19][10] = -0.557182712869464;
   fWeightMatrix0to1[20][10] = 1.03793102567812;
   fWeightMatrix0to1[21][10] = -1.18170196378739;
   fWeightMatrix0to1[22][10] = -1.35534279955496;
   fWeightMatrix0to1[23][10] = 2.02557035466363;
   fWeightMatrix0to1[24][10] = 0.517937809825158;
   fWeightMatrix0to1[25][10] = 0.914641750770091;
   fWeightMatrix0to1[26][10] = 3.02477776235016;
   fWeightMatrix0to1[27][10] = -1.49566953131752;
   fWeightMatrix0to1[28][10] = 0.855742347242653;
   fWeightMatrix0to1[0][11] = 0.772936035236732;
   fWeightMatrix0to1[1][11] = -0.649811149791732;
   fWeightMatrix0to1[2][11] = -0.564777401820076;
   fWeightMatrix0to1[3][11] = 1.1742268774675;
   fWeightMatrix0to1[4][11] = -0.254434016596408;
   fWeightMatrix0to1[5][11] = 0.285052963917148;
   fWeightMatrix0to1[6][11] = 1.45652495328846;
   fWeightMatrix0to1[7][11] = 0.927870587189607;
   fWeightMatrix0to1[8][11] = 1.94236905926952;
   fWeightMatrix0to1[9][11] = -1.46586426421106;
   fWeightMatrix0to1[10][11] = 0.85215062340744;
   fWeightMatrix0to1[11][11] = -2.60838240083635;
   fWeightMatrix0to1[12][11] = -0.11196522607708;
   fWeightMatrix0to1[13][11] = -1.1671649368494;
   fWeightMatrix0to1[14][11] = -1.41115402081381;
   fWeightMatrix0to1[15][11] = 0.23430104938033;
   fWeightMatrix0to1[16][11] = 1.7256762937896;
   fWeightMatrix0to1[17][11] = 0.324337615125914;
   fWeightMatrix0to1[18][11] = 1.1713537053152;
   fWeightMatrix0to1[19][11] = 0.725171297650588;
   fWeightMatrix0to1[20][11] = 0.398445158564924;
   fWeightMatrix0to1[21][11] = -1.47135515661545;
   fWeightMatrix0to1[22][11] = -0.00933202451165727;
   fWeightMatrix0to1[23][11] = 2.2252632261282;
   fWeightMatrix0to1[24][11] = -1.36368115475205;
   fWeightMatrix0to1[25][11] = 0.909146295655832;
   fWeightMatrix0to1[26][11] = -0.18215837194479;
   fWeightMatrix0to1[27][11] = -0.181023794498793;
   fWeightMatrix0to1[28][11] = -0.515635646315968;
   fWeightMatrix0to1[0][12] = 0.497751679909269;
   fWeightMatrix0to1[1][12] = -0.982596941538852;
   fWeightMatrix0to1[2][12] = 1.22182820748371;
   fWeightMatrix0to1[3][12] = 2.05366632722143;
   fWeightMatrix0to1[4][12] = -0.354615575451291;
   fWeightMatrix0to1[5][12] = 0.0532825379532706;
   fWeightMatrix0to1[6][12] = -1.41076613304722;
   fWeightMatrix0to1[7][12] = -1.51964562765208;
   fWeightMatrix0to1[8][12] = -1.83792759579519;
   fWeightMatrix0to1[9][12] = 1.2964692788634;
   fWeightMatrix0to1[10][12] = -0.668728338104944;
   fWeightMatrix0to1[11][12] = -2.23567867042221;
   fWeightMatrix0to1[12][12] = 0.201474955567376;
   fWeightMatrix0to1[13][12] = -2.53718220312655;
   fWeightMatrix0to1[14][12] = -0.942663504561849;
   fWeightMatrix0to1[15][12] = -1.79780769114921;
   fWeightMatrix0to1[16][12] = 1.17490700252988;
   fWeightMatrix0to1[17][12] = -1.06566892376102;
   fWeightMatrix0to1[18][12] = -2.46911380883928;
   fWeightMatrix0to1[19][12] = -0.243265626963757;
   fWeightMatrix0to1[20][12] = -0.451464709105452;
   fWeightMatrix0to1[21][12] = -1.45716235618183;
   fWeightMatrix0to1[22][12] = 1.0823657496619;
   fWeightMatrix0to1[23][12] = -1.15614528319236;
   fWeightMatrix0to1[24][12] = 0.148067070844501;
   fWeightMatrix0to1[25][12] = 1.51790202029012;
   fWeightMatrix0to1[26][12] = 0.802753257734416;
   fWeightMatrix0to1[27][12] = 0.0556079817449665;
   fWeightMatrix0to1[28][12] = 0.909406053263084;
   fWeightMatrix0to1[0][13] = 2.07633132895676;
   fWeightMatrix0to1[1][13] = 2.22335889736243;
   fWeightMatrix0to1[2][13] = 0.708878955019445;
   fWeightMatrix0to1[3][13] = -1.43848103110873;
   fWeightMatrix0to1[4][13] = 3.09393958477734;
   fWeightMatrix0to1[5][13] = -1.08791399132597;
   fWeightMatrix0to1[6][13] = 0.772321666092722;
   fWeightMatrix0to1[7][13] = 1.74996386495101;
   fWeightMatrix0to1[8][13] = 0.207450767206699;
   fWeightMatrix0to1[9][13] = 1.06685771517707;
   fWeightMatrix0to1[10][13] = 0.913441032382002;
   fWeightMatrix0to1[11][13] = 1.30591495864848;
   fWeightMatrix0to1[12][13] = -3.27598734462265;
   fWeightMatrix0to1[13][13] = 2.17249444316386;
   fWeightMatrix0to1[14][13] = 1.05301674520826;
   fWeightMatrix0to1[15][13] = -2.03788738576905;
   fWeightMatrix0to1[16][13] = -1.25642522800737;
   fWeightMatrix0to1[17][13] = -1.14024819227018;
   fWeightMatrix0to1[18][13] = 2.2362125673183;
   fWeightMatrix0to1[19][13] = 1.17977879204133;
   fWeightMatrix0to1[20][13] = 1.17186753539722;
   fWeightMatrix0to1[21][13] = 1.70028962272145;
   fWeightMatrix0to1[22][13] = -0.570367209649251;
   fWeightMatrix0to1[23][13] = 2.0714369236632;
   fWeightMatrix0to1[24][13] = 2.31527986829094;
   fWeightMatrix0to1[25][13] = 3.08604379523093;
   fWeightMatrix0to1[26][13] = 0.059458056011361;
   fWeightMatrix0to1[27][13] = 1.8926269190279;
   fWeightMatrix0to1[28][13] = -2.28215766666391;
   fWeightMatrix0to1[0][14] = -0.595521650483789;
   fWeightMatrix0to1[1][14] = 2.27794152902377;
   fWeightMatrix0to1[2][14] = -0.216189914919299;
   fWeightMatrix0to1[3][14] = 0.0312296111276993;
   fWeightMatrix0to1[4][14] = -2.05188678156117;
   fWeightMatrix0to1[5][14] = -3.61678809072177;
   fWeightMatrix0to1[6][14] = 0.293709336847431;
   fWeightMatrix0to1[7][14] = -4.96598065321546;
   fWeightMatrix0to1[8][14] = 0.193467650906315;
   fWeightMatrix0to1[9][14] = -0.249724161392436;
   fWeightMatrix0to1[10][14] = 1.6795056130215;
   fWeightMatrix0to1[11][14] = 5.75192881988548;
   fWeightMatrix0to1[12][14] = 5.1031716351818;
   fWeightMatrix0to1[13][14] = -0.982941792920784;
   fWeightMatrix0to1[14][14] = -0.0658767726474297;
   fWeightMatrix0to1[15][14] = 0.0433234931087687;
   fWeightMatrix0to1[16][14] = 5.91796667997763;
   fWeightMatrix0to1[17][14] = -1.96408362616087;
   fWeightMatrix0to1[18][14] = -1.92300065519665;
   fWeightMatrix0to1[19][14] = 0.171044885560411;
   fWeightMatrix0to1[20][14] = -1.34204707462724;
   fWeightMatrix0to1[21][14] = -1.50445271238614;
   fWeightMatrix0to1[22][14] = -1.61312463562367;
   fWeightMatrix0to1[23][14] = 1.04348356685918;
   fWeightMatrix0to1[24][14] = -1.35811016029783;
   fWeightMatrix0to1[25][14] = -10.6693433410946;
   fWeightMatrix0to1[26][14] = -7.53759264640067;
   fWeightMatrix0to1[27][14] = 0.0830876491544742;
   fWeightMatrix0to1[28][14] = 3.87030713123854;
   fWeightMatrix0to1[0][15] = 2.03620642309628;
   fWeightMatrix0to1[1][15] = 1.84750784316982;
   fWeightMatrix0to1[2][15] = -0.445917816013399;
   fWeightMatrix0to1[3][15] = -1.50471488832732;
   fWeightMatrix0to1[4][15] = -0.260994825312799;
   fWeightMatrix0to1[5][15] = -1.0495069064824;
   fWeightMatrix0to1[6][15] = -1.71353895125584;
   fWeightMatrix0to1[7][15] = 0.166769023019903;
   fWeightMatrix0to1[8][15] = 0.0387782518312605;
   fWeightMatrix0to1[9][15] = -1.54443973536924;
   fWeightMatrix0to1[10][15] = 1.52273230694086;
   fWeightMatrix0to1[11][15] = 0.664277491733355;
   fWeightMatrix0to1[12][15] = -0.277387901486763;
   fWeightMatrix0to1[13][15] = -0.813688277705113;
   fWeightMatrix0to1[14][15] = -0.516649891753903;
   fWeightMatrix0to1[15][15] = 1.74645594311843;
   fWeightMatrix0to1[16][15] = -1.20930021622918;
   fWeightMatrix0to1[17][15] = 0.222925730953261;
   fWeightMatrix0to1[18][15] = 1.92822699661927;
   fWeightMatrix0to1[19][15] = 2.23696118921066;
   fWeightMatrix0to1[20][15] = -0.888191644467473;
   fWeightMatrix0to1[21][15] = 1.58828335888625;
   fWeightMatrix0to1[22][15] = -2.05903437492756;
   fWeightMatrix0to1[23][15] = 1.8922807493739;
   fWeightMatrix0to1[24][15] = 2.19115070619802;
   fWeightMatrix0to1[25][15] = 1.55782050370425;
   fWeightMatrix0to1[26][15] = -0.0611615128073629;
   fWeightMatrix0to1[27][15] = 0.42303609804415;
   fWeightMatrix0to1[28][15] = -0.545922160260926;
   fWeightMatrix0to1[0][16] = 1.37890311620959;
   fWeightMatrix0to1[1][16] = 0.890511360039911;
   fWeightMatrix0to1[2][16] = -0.631687101843786;
   fWeightMatrix0to1[3][16] = -1.03391513342263;
   fWeightMatrix0to1[4][16] = -0.00562050728100023;
   fWeightMatrix0to1[5][16] = 2.05103709146821;
   fWeightMatrix0to1[6][16] = 0.276121227180407;
   fWeightMatrix0to1[7][16] = 0.180125530557285;
   fWeightMatrix0to1[8][16] = -1.90823460474369;
   fWeightMatrix0to1[9][16] = 1.73468848235989;
   fWeightMatrix0to1[10][16] = 0.350277850475641;
   fWeightMatrix0to1[11][16] = -1.84267332154051;
   fWeightMatrix0to1[12][16] = -0.667767881006798;
   fWeightMatrix0to1[13][16] = -1.20479142926515;
   fWeightMatrix0to1[14][16] = 1.65401564474931;
   fWeightMatrix0to1[15][16] = 1.44474320444825;
   fWeightMatrix0to1[16][16] = -1.33405517889362;
   fWeightMatrix0to1[17][16] = -1.17665876068131;
   fWeightMatrix0to1[18][16] = 1.8985835351894;
   fWeightMatrix0to1[19][16] = 2.02176601069086;
   fWeightMatrix0to1[20][16] = 0.449595473844088;
   fWeightMatrix0to1[21][16] = 0.381865593142655;
   fWeightMatrix0to1[22][16] = -1.40705083205369;
   fWeightMatrix0to1[23][16] = -0.964249363438936;
   fWeightMatrix0to1[24][16] = 1.47954858706222;
   fWeightMatrix0to1[25][16] = 1.94589373974116;
   fWeightMatrix0to1[26][16] = 0.419029744672453;
   fWeightMatrix0to1[27][16] = -1.54781621031651;
   fWeightMatrix0to1[28][16] = -1.61492734322985;
   fWeightMatrix0to1[0][17] = -1.7649288096394;
   fWeightMatrix0to1[1][17] = 0.280601371812652;
   fWeightMatrix0to1[2][17] = -1.56375875460423;
   fWeightMatrix0to1[3][17] = 1.20321325096284;
   fWeightMatrix0to1[4][17] = -0.50511946905124;
   fWeightMatrix0to1[5][17] = 1.95063847726089;
   fWeightMatrix0to1[6][17] = 0.193937225042788;
   fWeightMatrix0to1[7][17] = -1.10658666001746;
   fWeightMatrix0to1[8][17] = 1.49968756142779;
   fWeightMatrix0to1[9][17] = 1.82919888744624;
   fWeightMatrix0to1[10][17] = 1.1196659636757;
   fWeightMatrix0to1[11][17] = -1.13767310807778;
   fWeightMatrix0to1[12][17] = -1.44173858047501;
   fWeightMatrix0to1[13][17] = 1.68623718521024;
   fWeightMatrix0to1[14][17] = -1.29679463711843;
   fWeightMatrix0to1[15][17] = 0.371773357449071;
   fWeightMatrix0to1[16][17] = -2.07777369880565;
   fWeightMatrix0to1[17][17] = 1.19273974044137;
   fWeightMatrix0to1[18][17] = -0.831027728813257;
   fWeightMatrix0to1[19][17] = 1.07658974097691;
   fWeightMatrix0to1[20][17] = -0.219347491050056;
   fWeightMatrix0to1[21][17] = 0.717796472070872;
   fWeightMatrix0to1[22][17] = -0.749818153274059;
   fWeightMatrix0to1[23][17] = -0.586982890435588;
   fWeightMatrix0to1[24][17] = 1.16434275717583;
   fWeightMatrix0to1[25][17] = 2.02617685865969;
   fWeightMatrix0to1[26][17] = 0.996942746188715;
   fWeightMatrix0to1[27][17] = 1.27267244930023;
   fWeightMatrix0to1[28][17] = -1.65054501748867;
   fWeightMatrix0to1[0][18] = 1.88928546972772;
   fWeightMatrix0to1[1][18] = -1.19458882077031;
   fWeightMatrix0to1[2][18] = 1.00125482491094;
   fWeightMatrix0to1[3][18] = 1.93452935155572;
   fWeightMatrix0to1[4][18] = 1.18960524907228;
   fWeightMatrix0to1[5][18] = 0.990557654263569;
   fWeightMatrix0to1[6][18] = 1.35046139908541;
   fWeightMatrix0to1[7][18] = -1.9960830834443;
   fWeightMatrix0to1[8][18] = -0.572734132040924;
   fWeightMatrix0to1[9][18] = -0.293895332897382;
   fWeightMatrix0to1[10][18] = 0.661269119459282;
   fWeightMatrix0to1[11][18] = -0.7607108052297;
   fWeightMatrix0to1[12][18] = -0.263609954487942;
   fWeightMatrix0to1[13][18] = -0.674883567997498;
   fWeightMatrix0to1[14][18] = -0.182388182128769;
   fWeightMatrix0to1[15][18] = -1.64793191654095;
   fWeightMatrix0to1[16][18] = -0.489177038914121;
   fWeightMatrix0to1[17][18] = -1.76867173667848;
   fWeightMatrix0to1[18][18] = -0.595303539859038;
   fWeightMatrix0to1[19][18] = -0.101796851549135;
   fWeightMatrix0to1[20][18] = -1.25133290846568;
   fWeightMatrix0to1[21][18] = -1.08373756427113;
   fWeightMatrix0to1[22][18] = 0.361902393949075;
   fWeightMatrix0to1[23][18] = 0.346039566170988;
   fWeightMatrix0to1[24][18] = -0.0504393899481414;
   fWeightMatrix0to1[25][18] = -0.514739737493353;
   fWeightMatrix0to1[26][18] = 1.83773146386299;
   fWeightMatrix0to1[27][18] = -0.188030417221415;
   fWeightMatrix0to1[28][18] = 1.35806342912171;
   fWeightMatrix0to1[0][19] = 1.24076151234952;
   fWeightMatrix0to1[1][19] = -0.552834187954959;
   fWeightMatrix0to1[2][19] = -0.875643986129136;
   fWeightMatrix0to1[3][19] = 0.443296357543702;
   fWeightMatrix0to1[4][19] = -1.35713785611995;
   fWeightMatrix0to1[5][19] = -1.19903291814;
   fWeightMatrix0to1[6][19] = -1.23024579339535;
   fWeightMatrix0to1[7][19] = 1.23521987505936;
   fWeightMatrix0to1[8][19] = -1.73908292604341;
   fWeightMatrix0to1[9][19] = 2.16650828959665;
   fWeightMatrix0to1[10][19] = 1.69362498092439;
   fWeightMatrix0to1[11][19] = 0.932193558144234;
   fWeightMatrix0to1[12][19] = 0.94307965273902;
   fWeightMatrix0to1[13][19] = 0.602097782722282;
   fWeightMatrix0to1[14][19] = 0.357120888188209;
   fWeightMatrix0to1[15][19] = -1.51117296657613;
   fWeightMatrix0to1[16][19] = -2.12636473421949;
   fWeightMatrix0to1[17][19] = -0.878978048372206;
   fWeightMatrix0to1[18][19] = -0.961495214802638;
   fWeightMatrix0to1[19][19] = 1.19075799383651;
   fWeightMatrix0to1[20][19] = -0.351938305547026;
   fWeightMatrix0to1[21][19] = 0.49129743722509;
   fWeightMatrix0to1[22][19] = 1.31261068068724;
   fWeightMatrix0to1[23][19] = 1.28972797120008;
   fWeightMatrix0to1[24][19] = -1.00825666085613;
   fWeightMatrix0to1[25][19] = 1.23513865268312;
   fWeightMatrix0to1[26][19] = -1.59230959909616;
   fWeightMatrix0to1[27][19] = 1.0577754073558;
   fWeightMatrix0to1[28][19] = -1.22983748841617;
   fWeightMatrix0to1[0][20] = 0.724420241259024;
   fWeightMatrix0to1[1][20] = -0.760702679640971;
   fWeightMatrix0to1[2][20] = 1.89094315586273;
   fWeightMatrix0to1[3][20] = -3.22309900148934;
   fWeightMatrix0to1[4][20] = 4.14139727921391;
   fWeightMatrix0to1[5][20] = -1.53120837356432;
   fWeightMatrix0to1[6][20] = -0.576462534776936;
   fWeightMatrix0to1[7][20] = 1.54061040347885;
   fWeightMatrix0to1[8][20] = -0.240392235339998;
   fWeightMatrix0to1[9][20] = 0.563412387105667;
   fWeightMatrix0to1[10][20] = -2.48103742608311;
   fWeightMatrix0to1[11][20] = 1.15580519932902;
   fWeightMatrix0to1[12][20] = -1.70449859337885;
   fWeightMatrix0to1[13][20] = 2.32676130054244;
   fWeightMatrix0to1[14][20] = -2.14990104311165;
   fWeightMatrix0to1[15][20] = -0.752184461877266;
   fWeightMatrix0to1[16][20] = 2.34025711287125;
   fWeightMatrix0to1[17][20] = -2.08103757411685;
   fWeightMatrix0to1[18][20] = -1.13183131872179;
   fWeightMatrix0to1[19][20] = -1.17258510018964;
   fWeightMatrix0to1[20][20] = 1.67760986722466;
   fWeightMatrix0to1[21][20] = 1.11318763037679;
   fWeightMatrix0to1[22][20] = 1.19770634065477;
   fWeightMatrix0to1[23][20] = -1.9283564248362;
   fWeightMatrix0to1[24][20] = 0.784676070076978;
   fWeightMatrix0to1[25][20] = 0.765645602538819;
   fWeightMatrix0to1[26][20] = 0.621559198883924;
   fWeightMatrix0to1[27][20] = -1.56800456279377;
   fWeightMatrix0to1[28][20] = -0.750375852963199;
   fWeightMatrix0to1[0][21] = 0.541260024563618;
   fWeightMatrix0to1[1][21] = 0.531352239093304;
   fWeightMatrix0to1[2][21] = 1.63154314521792;
   fWeightMatrix0to1[3][21] = -0.356660986647823;
   fWeightMatrix0to1[4][21] = 0.841673338915764;
   fWeightMatrix0to1[5][21] = -0.671327955720989;
   fWeightMatrix0to1[6][21] = 1.94479161885899;
   fWeightMatrix0to1[7][21] = 0.60187790921861;
   fWeightMatrix0to1[8][21] = 1.35848853292348;
   fWeightMatrix0to1[9][21] = -0.890926683098265;
   fWeightMatrix0to1[10][21] = -1.54753313960072;
   fWeightMatrix0to1[11][21] = 1.09758961980533;
   fWeightMatrix0to1[12][21] = -0.00371744874990887;
   fWeightMatrix0to1[13][21] = 1.63665507839888;
   fWeightMatrix0to1[14][21] = 0.487223014600489;
   fWeightMatrix0to1[15][21] = -0.972179572414481;
   fWeightMatrix0to1[16][21] = -1.116763466711;
   fWeightMatrix0to1[17][21] = -1.81192329519576;
   fWeightMatrix0to1[18][21] = -0.000917387115805866;
   fWeightMatrix0to1[19][21] = -0.833045007022178;
   fWeightMatrix0to1[20][21] = -0.929522336726094;
   fWeightMatrix0to1[21][21] = -0.299955987358621;
   fWeightMatrix0to1[22][21] = -0.277934696297607;
   fWeightMatrix0to1[23][21] = 0.643604799424611;
   fWeightMatrix0to1[24][21] = -1.98220867172671;
   fWeightMatrix0to1[25][21] = -0.275120520106705;
   fWeightMatrix0to1[26][21] = 0.40619680496261;
   fWeightMatrix0to1[27][21] = -0.576370708554832;
   fWeightMatrix0to1[28][21] = 0.216639855374068;
   // weight matrix from layer 1 to 2
   fWeightMatrix1to2[0][0] = -0.683231631125639;
   fWeightMatrix1to2[0][1] = -0.805774965248671;
   fWeightMatrix1to2[0][2] = -1.24941529740431;
   fWeightMatrix1to2[0][3] = 0.81825947717427;
   fWeightMatrix1to2[0][4] = -1.6521407233679;
   fWeightMatrix1to2[0][5] = -0.478385683227321;
   fWeightMatrix1to2[0][6] = -1.92935903643261;
   fWeightMatrix1to2[0][7] = -0.977717190321436;
   fWeightMatrix1to2[0][8] = 0.205440336688721;
   fWeightMatrix1to2[0][9] = 0.578213061335827;
   fWeightMatrix1to2[0][10] = 0.679542870196391;
   fWeightMatrix1to2[0][11] = 1.60378402157294;
   fWeightMatrix1to2[0][12] = 0.80202491922332;
   fWeightMatrix1to2[0][13] = -0.519002356670992;
   fWeightMatrix1to2[0][14] = -3.59063551970034;
   fWeightMatrix1to2[0][15] = -0.404284070635703;
   fWeightMatrix1to2[0][16] = 1.04652687933418;
   fWeightMatrix1to2[0][17] = 0.524469146566782;
   fWeightMatrix1to2[0][18] = -1.3163591410293;
   fWeightMatrix1to2[0][19] = -0.425424309581852;
   fWeightMatrix1to2[0][20] = 1.69560197107703;
   fWeightMatrix1to2[0][21] = 0.958365710141517;
   fWeightMatrix1to2[0][22] = -1.09120896632986;
   fWeightMatrix1to2[0][23] = 0.190663590262656;
   fWeightMatrix1to2[0][24] = -0.160890293167752;
   fWeightMatrix1to2[0][25] = -1.65280152280359;
   fWeightMatrix1to2[0][26] = -2.12439228144199;
   fWeightMatrix1to2[0][27] = -2.88118002034203;
   fWeightMatrix1to2[0][28] = 0.936518045543298;
   fWeightMatrix1to2[0][29] = 0.369820742447165;
}

inline double ReadMuon_Upstream_TMVA::GetMvaValue__( const std::vector<double>& inputValues ) const
{
   if (inputValues.size() != (unsigned int)fLayerSize[0]-1) {
      std::cout << "Input vector needs to be of size " << fLayerSize[0]-1 << std::endl;
      return 0;
   }

   for (int l=0; l<fLayers; l++)
      for (int i=0; i<fLayerSize[l]; i++) fWeights[l][i]=0;

   for (int l=0; l<fLayers-1; l++)
      fWeights[l][fLayerSize[l]-1]=1;

   for (int i=0; i<fLayerSize[0]-1; i++)
      fWeights[0][i]=inputValues[i];

   // layer 0 to 1
   for (int o=0; o<fLayerSize[1]-1; o++) {
      for (int i=0; i<fLayerSize[0]; i++) {
         double inputVal = fWeightMatrix0to1[o][i] * fWeights[0][i];
         fWeights[1][o] += inputVal;
      }
      fWeights[1][o] = ActivationFnc(fWeights[1][o]);
   }
   // layer 1 to 2
   for (int o=0; o<fLayerSize[2]; o++) {
      for (int i=0; i<fLayerSize[1]; i++) {
         double inputVal = fWeightMatrix1to2[o][i] * fWeights[1][i];
         fWeights[2][o] += inputVal;
      }
      fWeights[2][o] = OutputActivationFnc(fWeights[2][o]);
   }

   return fWeights[2][0];
}

double ReadMuon_Upstream_TMVA::ActivationFnc(double x) const {
   // hyperbolic tan
   return tanh(x);
}
double ReadMuon_Upstream_TMVA::OutputActivationFnc(double x) const {
   // sigmoid
   return 1.0/(1.0+exp(-x));
}
   
// Clean up
inline void ReadMuon_Upstream_TMVA::Clear() 
{
   // nothing to clear
}
   inline double ReadMuon_Upstream_TMVA::GetMvaValue( const std::vector<double>& inputValues ) const
   {
      // classifier response value
      double retval = 0;

      // classifier response, sanity check first
      if (!IsStatusClean()) {
         std::cout << "Problem in class \"" << fClassName << "\": cannot return classifier response"
                   << " because status is dirty" << std::endl;
         retval = 0;
      }
      else {
         if (IsNormalised()) {
            // normalise variables
            std::vector<double> iV;
            int ivar = 0;
            for (std::vector<double>::const_iterator varIt = inputValues.begin();
                 varIt != inputValues.end(); varIt++, ivar++) {
               iV.push_back(NormVariable( *varIt, fVmin[ivar], fVmax[ivar] ));
            }
            Transform( iV, -1 );
            retval = GetMvaValue__( iV );
         }
         else {
            std::vector<double> iV;
            int ivar = 0;
            for (std::vector<double>::const_iterator varIt = inputValues.begin();
                 varIt != inputValues.end(); varIt++, ivar++) {
               iV.push_back(*varIt);
            }
            Transform( iV, -1 );
            retval = GetMvaValue__( iV );
         }
      }

      return retval;
   }

//_______________________________________________________________________
inline void ReadMuon_Upstream_TMVA::InitTransform_1()
{
   // Normalization transformation, initialisation
   fMin_1[0][0] = 172.490005493;
   fMax_1[0][0] = 4970293.5;
   fMin_1[1][0] = 356.059997559;
   fMax_1[1][0] = 1581282.75;
   fMin_1[2][0] = 172.490005493;
   fMax_1[2][0] = 4970293.5;
   fMin_1[0][1] = 0.832938909531;
   fMax_1[0][1] = 995273.875;
   fMin_1[1][1] = 12.315527916;
   fMax_1[1][1] = 538441.8125;
   fMin_1[2][1] = 0.832938909531;
   fMax_1[2][1] = 995273.875;
   fMin_1[0][2] = 0.00302399252541;
   fMax_1[0][2] = 2.999573946;
   fMin_1[1][2] = 0.0124830389395;
   fMax_1[1][2] = 2.95766115189;
   fMin_1[2][2] = 0.00302399252541;
   fMax_1[2][2] = 2.999573946;
   fMin_1[0][3] = 4;
   fMax_1[0][3] = 28;
   fMin_1[1][3] = 4;
   fMax_1[1][3] = 23;
   fMin_1[2][3] = 4;
   fMax_1[2][3] = 28;
   fMin_1[0][4] = -99.6241531372;
   fMax_1[0][4] = -0.319228202105;
   fMin_1[1][4] = -34.3928070068;
   fMax_1[1][4] = -0.403398215771;
   fMin_1[2][4] = -99.6241531372;
   fMax_1[2][4] = -0.319228202105;
   fMin_1[0][5] = 0.0317582078278;
   fMax_1[0][5] = 1;
   fMin_1[1][5] = 0.0835144221783;
   fMax_1[1][5] = 1;
   fMin_1[2][5] = 0.0317582078278;
   fMax_1[2][5] = 1;
   fMin_1[0][6] = -999;
   fMax_1[0][6] = 4999.73632812;
   fMin_1[1][6] = -999;
   fMax_1[1][6] = 4800.15234375;
   fMin_1[2][6] = -999;
   fMax_1[2][6] = 4999.73632812;
   fMin_1[0][7] = 2.50487555604e-05;
   fMax_1[0][7] = 51.0802001953;
   fMin_1[1][7] = 0.000793279090431;
   fMax_1[1][7] = 31.5051403046;
   fMin_1[2][7] = 2.50487555604e-05;
   fMax_1[2][7] = 51.0802001953;
   fMin_1[0][8] = 1;
   fMax_1[0][8] = 24;
   fMin_1[1][8] = 1;
   fMax_1[1][8] = 20;
   fMin_1[2][8] = 1;
   fMax_1[2][8] = 24;
   fMin_1[0][9] = 0;
   fMax_1[0][9] = 1;
   fMin_1[1][9] = 0;
   fMax_1[1][9] = 1;
   fMin_1[2][9] = 0;
   fMax_1[2][9] = 1;
   fMin_1[0][10] = 0;
   fMax_1[0][10] = 1;
   fMin_1[1][10] = 0;
   fMax_1[1][10] = 1;
   fMin_1[2][10] = 0;
   fMax_1[2][10] = 1;
   fMin_1[0][11] = 0;
   fMax_1[0][11] = 1;
   fMin_1[1][11] = 0;
   fMax_1[1][11] = 1;
   fMin_1[2][11] = 0;
   fMax_1[2][11] = 1;
   fMin_1[0][12] = 0;
   fMax_1[0][12] = 1;
   fMin_1[1][12] = 0;
   fMax_1[1][12] = 1;
   fMin_1[2][12] = 0;
   fMax_1[2][12] = 1;
   fMin_1[0][13] = -999;
   fMax_1[0][13] = 107.511299133;
   fMin_1[1][13] = -999;
   fMax_1[1][13] = 58.7677001953;
   fMin_1[2][13] = -999;
   fMax_1[2][13] = 107.511299133;
   fMin_1[0][14] = -999;
   fMax_1[0][14] = 69.573600769;
   fMin_1[1][14] = -999;
   fMax_1[1][14] = 62.9558982849;
   fMin_1[2][14] = -999;
   fMax_1[2][14] = 69.573600769;
   fMin_1[0][15] = -999;
   fMax_1[0][15] = 99.5278015137;
   fMin_1[1][15] = -999;
   fMax_1[1][15] = 53.9398994446;
   fMin_1[2][15] = -999;
   fMax_1[2][15] = 99.5278015137;
   fMin_1[0][16] = -999;
   fMax_1[0][16] = 62.6166000366;
   fMin_1[1][16] = -999;
   fMax_1[1][16] = 30.9769992828;
   fMin_1[2][16] = -999;
   fMax_1[2][16] = 62.6166000366;
   fMin_1[0][17] = -999;
   fMax_1[0][17] = 47.8530006409;
   fMin_1[1][17] = -999;
   fMax_1[1][17] = 37.2952003479;
   fMin_1[2][17] = -999;
   fMax_1[2][17] = 47.8530006409;
   fMin_1[0][18] = 0;
   fMax_1[0][18] = 1;
   fMin_1[1][18] = 0;
   fMax_1[1][18] = 1;
   fMin_1[2][18] = 0;
   fMax_1[2][18] = 1;
   fMin_1[0][19] = -999;
   fMax_1[0][19] = 4.79148387909;
   fMin_1[1][19] = -999;
   fMax_1[1][19] = 4.31975746155;
   fMin_1[2][19] = -999;
   fMax_1[2][19] = 4.79148387909;
   fMin_1[0][20] = 0.486891388893;
   fMax_1[0][20] = 5.4943819046;
   fMin_1[1][20] = 0.660112380981;
   fMax_1[1][20] = 1.88202250004;
   fMin_1[2][20] = 0.486891388893;
   fMax_1[2][20] = 5.4943819046;
}

//_______________________________________________________________________
inline void ReadMuon_Upstream_TMVA::Transform_1( std::vector<double>& iv, int cls) const
{
   // Normalization transformation
   if (cls < 0 || cls > 2) {
   if (2 > 1 ) cls = 2;
      else cls = 2;
   }
   const int nVar = 21;

   // get indices of used variables

   // define the indices of the variables which are transformed by this transformation
   std::vector<int> indicesGet;
   std::vector<int> indicesPut;

   indicesGet.push_back( 0);
   indicesGet.push_back( 1);
   indicesGet.push_back( 2);
   indicesGet.push_back( 3);
   indicesGet.push_back( 4);
   indicesGet.push_back( 5);
   indicesGet.push_back( 6);
   indicesGet.push_back( 7);
   indicesGet.push_back( 8);
   indicesGet.push_back( 9);
   indicesGet.push_back( 10);
   indicesGet.push_back( 11);
   indicesGet.push_back( 12);
   indicesGet.push_back( 13);
   indicesGet.push_back( 14);
   indicesGet.push_back( 15);
   indicesGet.push_back( 16);
   indicesGet.push_back( 17);
   indicesGet.push_back( 18);
   indicesGet.push_back( 19);
   indicesGet.push_back( 20);
   indicesPut.push_back( 0);
   indicesPut.push_back( 1);
   indicesPut.push_back( 2);
   indicesPut.push_back( 3);
   indicesPut.push_back( 4);
   indicesPut.push_back( 5);
   indicesPut.push_back( 6);
   indicesPut.push_back( 7);
   indicesPut.push_back( 8);
   indicesPut.push_back( 9);
   indicesPut.push_back( 10);
   indicesPut.push_back( 11);
   indicesPut.push_back( 12);
   indicesPut.push_back( 13);
   indicesPut.push_back( 14);
   indicesPut.push_back( 15);
   indicesPut.push_back( 16);
   indicesPut.push_back( 17);
   indicesPut.push_back( 18);
   indicesPut.push_back( 19);
   indicesPut.push_back( 20);

   std::vector<double> dv(nVar);
   for (int ivar=0; ivar<nVar; ivar++) dv[ivar] = iv[indicesGet.at(ivar)];
   for (int ivar=0;ivar<21;ivar++) {
      double offset = fMin_1[cls][ivar];
      double scale  = 1.0/(fMax_1[cls][ivar]-fMin_1[cls][ivar]);
      iv[indicesPut.at(ivar)] = (dv[ivar]-offset)*scale * 2 - 1;
   }
}

//_______________________________________________________________________
inline void ReadMuon_Upstream_TMVA::InitTransform()
{
   InitTransform_1();
}

//_______________________________________________________________________
inline void ReadMuon_Upstream_TMVA::Transform( std::vector<double>& iv, int sigOrBgd ) const
{
   Transform_1( iv, sigOrBgd );
}