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

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

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

Method         : MLP::Pion_Upstream_TMVA
TMVA Release   : 4.2.0         [262656]
ROOT Release   : 5.34/18       [336402]
Creator        : jonesc
Date           : Sat Jun 14 00:38:25 2014
Host           : ec-slc6-x86-64-spi-9
Dir            : /var/pcfst/r03/lhcb/jonesc/ANNPID/results/MC12/TrainMixture/TrainPhysTksNoGhosts-EvalPhysTks-ReweightRICH2/TMVA-NoPreSels-NoGECs/MLP/Norm/ScaleF1.4/BP/NCycles750/CE/sigmoid/CVTest15/CVImp1e-16/NotUseRegulator/Pion/Upstream
Training events: 1200000
Analysis type  : [Classification]


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

# Set by User:
NCycles: "750" [Number of training cycles]
HiddenLayers: "28" [Specification of hidden layer architecture]
NeuronType: "sigmoid" [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!)]
ConvergenceImprove: "1.000000e-16" [Minimum improvement which counts as improvement (<0 means automatic convergence check is turned off)]
ConvergenceTests: "15" [Number of steps (without improvement) required for convergence (<0 means automatic convergence check is turned off)]
UseRegulator: "False" [Use regulator to avoid over-training]
# 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]
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 20
TrackP                        TrackP                        TrackP                        TrackP                                                          'F'    [253.580001831,4741412]
TrackPt                       TrackPt                       TrackPt                       TrackPt                                                         'F'    [5.38133239746,954913.375]
TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof               TrackChi2PerDof                                                 'F'    [0.00438635889441,2.99875736237]
TrackNumDof                   TrackNumDof                   TrackNumDof                   TrackNumDof                                                     'I'    [4,27]
TrackLikelihood               TrackLikelihood               TrackLikelihood               TrackLikelihood                                                 'F'    [-59.4464607239,-0.329912275076]
TrackGhostProbability         TrackGhostProbability         TrackGhostProbability         TrackGhostProbability                                           'F'    [0.0295318737626,1]
TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2              TrackFitVeloChi2                                                'F'    [9.30839669309e-05,48.2787208557]
TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF              TrackFitVeloNDoF                                                'I'    [1,23]
RichUsedAero                  RichUsedAero                  RichUsedAero                  RichUsedAero                                                    'I'    [0,1]
RichUsedR1Gas                 RichUsedR1Gas                 RichUsedR1Gas                 RichUsedR1Gas                                                   'I'    [0,1]
RichAbovePiThres              RichAbovePiThres              RichAbovePiThres              RichAbovePiThres                                                'I'    [0,1]
RichAboveKaThres              RichAboveKaThres              RichAboveKaThres              RichAboveKaThres                                                'I'    [0,1]
RichDLLe                      RichDLLe                      RichDLLe                      RichDLLe                                                        'F'    [-999,117.404403687]
RichDLLmu                     RichDLLmu                     RichDLLmu                     RichDLLmu                                                       'F'    [-999,75.9692993164]
RichDLLk                      RichDLLk                      RichDLLk                      RichDLLk                                                        'F'    [-999,92.4810028076]
RichDLLp                      RichDLLp                      RichDLLp                      RichDLLp                                                        'F'    [-999,84.875]
RichDLLbt                     RichDLLbt                     RichDLLbt                     RichDLLbt                                                       'F'    [-999,47.9555015564]
InAccBrem                     InAccBrem                     InAccBrem                     InAccBrem                                                       'I'    [0,1]
BremPIDe                      BremPIDe                      BremPIDe                      BremPIDe                                                        'F'    [-999,4.79148387909]
VeloCharge                    VeloCharge                    VeloCharge                    VeloCharge                                                      'F'    [0.522471904755,3.59951853752]
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 ReadPion_Upstream_TMVA : public IClassifierReader {

 public:

   // constructor
   ReadPion_Upstream_TMVA( std::vector<std::string>& theInputVars ) 
      : IClassifierReader(),
        fClassName( "ReadPion_Upstream_TMVA" ),
        fNvars( 20 ),
        fIsNormalised( false )
   {      
      // the training input variables
      const char* inputVars[] = { "TrackP", "TrackPt", "TrackChi2PerDof", "TrackNumDof", "TrackLikelihood", "TrackGhostProbability", "TrackFitVeloChi2", "TrackFitVeloNDoF", "RichUsedAero", "RichUsedR1Gas", "RichAbovePiThres", "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] = 0.99999988079071;
      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;

      // 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] = 'I';
      fType[8] = 'I';
      fType[9] = 'I';
      fType[10] = 'I';
      fType[11] = 'I';
      fType[12] = 'F';
      fType[13] = 'F';
      fType[14] = 'F';
      fType[15] = 'F';
      fType[16] = 'F';
      fType[17] = 'I';
      fType[18] = 'F';
      fType[19] = 'F';

      // initialize constants
      Initialize();

      // initialize transformation
      InitTransform();
   }

   // destructor
   virtual ~ReadPion_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][20];
   double fMax_1[3][20];
   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[20];
   double fVmax[20];
   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[20];

   // 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[29][21];   // weight matrix from layer 0 to 1
   double fWeightMatrix1to2[1][29];   // weight matrix from layer 1 to 2

   double * fWeights[3];
};

inline void ReadPion_Upstream_TMVA::Initialize()
{
   // build network structure
   fLayers = 3;
   fLayerSize[0] = 21; fWeights[0] = new double[21]; 
   fLayerSize[1] = 29; fWeights[1] = new double[29]; 
   fLayerSize[2] = 1; fWeights[2] = new double[1]; 
   // weight matrix from layer 0 to 1
   fWeightMatrix0to1[0][0] = 1.24745850340317;
   fWeightMatrix0to1[1][0] = 9.26653155960233;
   fWeightMatrix0to1[2][0] = 7.90931963605729;
   fWeightMatrix0to1[3][0] = 2.39182154602538;
   fWeightMatrix0to1[4][0] = -4.46885143388878;
   fWeightMatrix0to1[5][0] = -0.206133910602732;
   fWeightMatrix0to1[6][0] = 16.4046658104793;
   fWeightMatrix0to1[7][0] = 2.10350276015794;
   fWeightMatrix0to1[8][0] = -0.430524870513158;
   fWeightMatrix0to1[9][0] = -0.368407724027058;
   fWeightMatrix0to1[10][0] = -3.48479107089879;
   fWeightMatrix0to1[11][0] = -1.60759866482669;
   fWeightMatrix0to1[12][0] = -1.52889460729638;
   fWeightMatrix0to1[13][0] = -16.2313174557961;
   fWeightMatrix0to1[14][0] = 0.163449869462475;
   fWeightMatrix0to1[15][0] = 16.0504135157628;
   fWeightMatrix0to1[16][0] = 3.09586268223301;
   fWeightMatrix0to1[17][0] = 3.10264253578862;
   fWeightMatrix0to1[18][0] = 3.8721590326493;
   fWeightMatrix0to1[19][0] = 9.48312672176485;
   fWeightMatrix0to1[20][0] = -7.54362439674429;
   fWeightMatrix0to1[21][0] = 0.320999210371017;
   fWeightMatrix0to1[22][0] = 8.65462055438639;
   fWeightMatrix0to1[23][0] = 1.26079787062396;
   fWeightMatrix0to1[24][0] = 0.099207625191363;
   fWeightMatrix0to1[25][0] = 4.98987292271959;
   fWeightMatrix0to1[26][0] = -0.51792512888056;
   fWeightMatrix0to1[27][0] = -13.3882418266708;
   fWeightMatrix0to1[0][1] = -0.14053128731505;
   fWeightMatrix0to1[1][1] = 1.59478790645574;
   fWeightMatrix0to1[2][1] = 8.06635285993969;
   fWeightMatrix0to1[3][1] = 3.77468077521886;
   fWeightMatrix0to1[4][1] = -2.53450147763717;
   fWeightMatrix0to1[5][1] = 1.91553849798455;
   fWeightMatrix0to1[6][1] = 14.7992528984612;
   fWeightMatrix0to1[7][1] = -0.85030581735606;
   fWeightMatrix0to1[8][1] = -0.352975853309692;
   fWeightMatrix0to1[9][1] = 2.1807544846228;
   fWeightMatrix0to1[10][1] = -0.649140601126322;
   fWeightMatrix0to1[11][1] = 1.07594141602618;
   fWeightMatrix0to1[12][1] = 0.737954278840589;
   fWeightMatrix0to1[13][1] = -13.819001422625;
   fWeightMatrix0to1[14][1] = 3.45924297517896;
   fWeightMatrix0to1[15][1] = 13.8693800714977;
   fWeightMatrix0to1[16][1] = 1.66986729482684;
   fWeightMatrix0to1[17][1] = -1.20990249430655;
   fWeightMatrix0to1[18][1] = 1.20279070424177;
   fWeightMatrix0to1[19][1] = 0.331764264511579;
   fWeightMatrix0to1[20][1] = 2.22684055290029;
   fWeightMatrix0to1[21][1] = 2.27509329478776;
   fWeightMatrix0to1[22][1] = 7.71234493650546;
   fWeightMatrix0to1[23][1] = 2.40861506051062;
   fWeightMatrix0to1[24][1] = 0.0375548933267757;
   fWeightMatrix0to1[25][1] = 7.20211831417623;
   fWeightMatrix0to1[26][1] = -2.56640128974343;
   fWeightMatrix0to1[27][1] = -13.9159118988099;
   fWeightMatrix0to1[0][2] = -1.05421322541766;
   fWeightMatrix0to1[1][2] = -0.817250909461948;
   fWeightMatrix0to1[2][2] = 0.317505934013625;
   fWeightMatrix0to1[3][2] = 1.44191845226646;
   fWeightMatrix0to1[4][2] = 0.0786048534429772;
   fWeightMatrix0to1[5][2] = 0.13224868503453;
   fWeightMatrix0to1[6][2] = -0.535171396982412;
   fWeightMatrix0to1[7][2] = -0.241678815105454;
   fWeightMatrix0to1[8][2] = 2.20544878105444;
   fWeightMatrix0to1[9][2] = 1.35197766123053;
   fWeightMatrix0to1[10][2] = 0.0279654551506521;
   fWeightMatrix0to1[11][2] = -0.0629665520982752;
   fWeightMatrix0to1[12][2] = 0.871012653196498;
   fWeightMatrix0to1[13][2] = -0.223110076983951;
   fWeightMatrix0to1[14][2] = -1.79789869343422;
   fWeightMatrix0to1[15][2] = -1.02290715917019;
   fWeightMatrix0to1[16][2] = 0.680832512339863;
   fWeightMatrix0to1[17][2] = 2.99300878081591;
   fWeightMatrix0to1[18][2] = 0.134750232678421;
   fWeightMatrix0to1[19][2] = 1.70531331153346;
   fWeightMatrix0to1[20][2] = -0.338379143994412;
   fWeightMatrix0to1[21][2] = -0.272237811651232;
   fWeightMatrix0to1[22][2] = 0.170355184622687;
   fWeightMatrix0to1[23][2] = 0.466468494386623;
   fWeightMatrix0to1[24][2] = 1.55888201853749;
   fWeightMatrix0to1[25][2] = 0.0672540877834691;
   fWeightMatrix0to1[26][2] = -0.266654656957228;
   fWeightMatrix0to1[27][2] = -0.761647650874503;
   fWeightMatrix0to1[0][3] = -0.078901113018017;
   fWeightMatrix0to1[1][3] = -2.35193598359613;
   fWeightMatrix0to1[2][3] = 3.95040766352692;
   fWeightMatrix0to1[3][3] = 2.8517371892094;
   fWeightMatrix0to1[4][3] = 0.755289339494895;
   fWeightMatrix0to1[5][3] = -0.992372244425777;
   fWeightMatrix0to1[6][3] = 3.13225894753334;
   fWeightMatrix0to1[7][3] = 0.0208479214774237;
   fWeightMatrix0to1[8][3] = 2.52269253777356;
   fWeightMatrix0to1[9][3] = -1.38501057803287;
   fWeightMatrix0to1[10][3] = 1.96391244744851;
   fWeightMatrix0to1[11][3] = 1.59641205434319;
   fWeightMatrix0to1[12][3] = -3.20007933634667;
   fWeightMatrix0to1[13][3] = 2.33301088893257;
   fWeightMatrix0to1[14][3] = 4.20027518640858;
   fWeightMatrix0to1[15][3] = 6.37717058409465;
   fWeightMatrix0to1[16][3] = -3.81090232274142;
   fWeightMatrix0to1[17][3] = -1.86376424253016;
   fWeightMatrix0to1[18][3] = 1.28313844062002;
   fWeightMatrix0to1[19][3] = 2.91501555674517;
   fWeightMatrix0to1[20][3] = 0.492085053839463;
   fWeightMatrix0to1[21][3] = -1.39022725196643;
   fWeightMatrix0to1[22][3] = -4.89537409354714;
   fWeightMatrix0to1[23][3] = -1.89310024689289;
   fWeightMatrix0to1[24][3] = 1.06457522706732;
   fWeightMatrix0to1[25][3] = 3.86513290856134;
   fWeightMatrix0to1[26][3] = -1.54788613280749;
   fWeightMatrix0to1[27][3] = 3.79767792680638;
   fWeightMatrix0to1[0][4] = -2.71744950624969;
   fWeightMatrix0to1[1][4] = -1.49415957891506;
   fWeightMatrix0to1[2][4] = -0.0795277980674448;
   fWeightMatrix0to1[3][4] = 0.0464872340569897;
   fWeightMatrix0to1[4][4] = 2.01137877173763;
   fWeightMatrix0to1[5][4] = -1.25605930927356;
   fWeightMatrix0to1[6][4] = -0.00163782809946368;
   fWeightMatrix0to1[7][4] = -0.0353557614596449;
   fWeightMatrix0to1[8][4] = -2.81220058104707;
   fWeightMatrix0to1[9][4] = 5.72695004857046;
   fWeightMatrix0to1[10][4] = -0.0100420848932879;
   fWeightMatrix0to1[11][4] = 3.33111968988419;
   fWeightMatrix0to1[12][4] = -3.92767986459067;
   fWeightMatrix0to1[13][4] = 2.78518922857649;
   fWeightMatrix0to1[14][4] = 0.652941669768802;
   fWeightMatrix0to1[15][4] = 0.71035017360146;
   fWeightMatrix0to1[16][4] = -3.81092364109137;
   fWeightMatrix0to1[17][4] = 0.330616384163713;
   fWeightMatrix0to1[18][4] = -1.44456887587306;
   fWeightMatrix0to1[19][4] = 1.96458730981416;
   fWeightMatrix0to1[20][4] = -2.07763468083269;
   fWeightMatrix0to1[21][4] = -2.37698564637571;
   fWeightMatrix0to1[22][4] = -1.21848526755823;
   fWeightMatrix0to1[23][4] = -0.008244466210704;
   fWeightMatrix0to1[24][4] = 1.29190181337792;
   fWeightMatrix0to1[25][4] = -1.88424165648587;
   fWeightMatrix0to1[26][4] = 0.910611544670583;
   fWeightMatrix0to1[27][4] = -0.320571424138746;
   fWeightMatrix0to1[0][5] = 3.35531095648041;
   fWeightMatrix0to1[1][5] = 0.424796256945927;
   fWeightMatrix0to1[2][5] = -4.68508720029661;
   fWeightMatrix0to1[3][5] = -1.32327436571373;
   fWeightMatrix0to1[4][5] = -1.69736848394121;
   fWeightMatrix0to1[5][5] = -0.451768552653631;
   fWeightMatrix0to1[6][5] = -0.214130395821008;
   fWeightMatrix0to1[7][5] = 0.208470421025779;
   fWeightMatrix0to1[8][5] = 0.118287658391631;
   fWeightMatrix0to1[9][5] = 0.0996681671918845;
   fWeightMatrix0to1[10][5] = 0.637779090337169;
   fWeightMatrix0to1[11][5] = -1.67405726900758;
   fWeightMatrix0to1[12][5] = -0.117163423510648;
   fWeightMatrix0to1[13][5] = -0.0916844276753371;
   fWeightMatrix0to1[14][5] = -0.137250581372372;
   fWeightMatrix0to1[15][5] = 0.164538834229343;
   fWeightMatrix0to1[16][5] = 0.716016372497416;
   fWeightMatrix0to1[17][5] = 0.565146526844297;
   fWeightMatrix0to1[18][5] = -0.380907641024596;
   fWeightMatrix0to1[19][5] = -1.04733487140436;
   fWeightMatrix0to1[20][5] = -0.176457745312454;
   fWeightMatrix0to1[21][5] = 0.277692562482047;
   fWeightMatrix0to1[22][5] = 0.260121505475446;
   fWeightMatrix0to1[23][5] = -0.61340739685078;
   fWeightMatrix0to1[24][5] = -0.843119474253823;
   fWeightMatrix0to1[25][5] = 0.350744841961923;
   fWeightMatrix0to1[26][5] = 0.0280793919043368;
   fWeightMatrix0to1[27][5] = -0.295605440131531;
   fWeightMatrix0to1[0][6] = 1.33017987625067;
   fWeightMatrix0to1[1][6] = 0.760255777730024;
   fWeightMatrix0to1[2][6] = 0.391979619433253;
   fWeightMatrix0to1[3][6] = 0.352960288409304;
   fWeightMatrix0to1[4][6] = -0.0836341728182962;
   fWeightMatrix0to1[5][6] = -0.612022718023699;
   fWeightMatrix0to1[6][6] = 0.784964989397224;
   fWeightMatrix0to1[7][6] = 0.211362914502766;
   fWeightMatrix0to1[8][6] = 2.08990021433251;
   fWeightMatrix0to1[9][6] = -3.97231928261595;
   fWeightMatrix0to1[10][6] = -0.492916244174791;
   fWeightMatrix0to1[11][6] = 0.307987751244759;
   fWeightMatrix0to1[12][6] = -2.05785933644564;
   fWeightMatrix0to1[13][6] = 1.37398683955536;
   fWeightMatrix0to1[14][6] = 3.37701409034002;
   fWeightMatrix0to1[15][6] = 1.5903791842986;
   fWeightMatrix0to1[16][6] = 0.366060010957862;
   fWeightMatrix0to1[17][6] = -1.62790900726571;
   fWeightMatrix0to1[18][6] = -1.74654067399438;
   fWeightMatrix0to1[19][6] = -2.07554822977033;
   fWeightMatrix0to1[20][6] = 1.4553816968104;
   fWeightMatrix0to1[21][6] = -1.2103267820089;
   fWeightMatrix0to1[22][6] = -0.186431721363176;
   fWeightMatrix0to1[23][6] = -0.471739622779881;
   fWeightMatrix0to1[24][6] = 3.70261322887931;
   fWeightMatrix0to1[25][6] = -1.59643591961409;
   fWeightMatrix0to1[26][6] = 1.99540813048598;
   fWeightMatrix0to1[27][6] = 0.638231805881979;
   fWeightMatrix0to1[0][7] = -2.15309540945011;
   fWeightMatrix0to1[1][7] = -0.123425877521526;
   fWeightMatrix0to1[2][7] = -4.20587986460534;
   fWeightMatrix0to1[3][7] = -0.316563899200503;
   fWeightMatrix0to1[4][7] = -0.191810717862926;
   fWeightMatrix0to1[5][7] = 1.70605771617561;
   fWeightMatrix0to1[6][7] = -3.00490767480508;
   fWeightMatrix0to1[7][7] = -1.78487161797857;
   fWeightMatrix0to1[8][7] = 2.29032762713419;
   fWeightMatrix0to1[9][7] = 5.9151571118115;
   fWeightMatrix0to1[10][7] = 2.79135997003505;
   fWeightMatrix0to1[11][7] = -0.0697285713926995;
   fWeightMatrix0to1[12][7] = 5.38403108916739;
   fWeightMatrix0to1[13][7] = -2.66959978646898;
   fWeightMatrix0to1[14][7] = -4.15473796999005;
   fWeightMatrix0to1[15][7] = -7.19341104549681;
   fWeightMatrix0to1[16][7] = -3.90123228293501;
   fWeightMatrix0to1[17][7] = -0.130797824826516;
   fWeightMatrix0to1[18][7] = 4.36998895195761;
   fWeightMatrix0to1[19][7] = 3.42170442070932;
   fWeightMatrix0to1[20][7] = -1.66381403875241;
   fWeightMatrix0to1[21][7] = 3.01155182126077;
   fWeightMatrix0to1[22][7] = 3.65482850627082;
   fWeightMatrix0to1[23][7] = -3.65612166833938;
   fWeightMatrix0to1[24][7] = -1.02082896620886;
   fWeightMatrix0to1[25][7] = -0.126519932758016;
   fWeightMatrix0to1[26][7] = -1.97860792060824;
   fWeightMatrix0to1[27][7] = -5.09587200979998;
   fWeightMatrix0to1[0][8] = 1.82348516967357;
   fWeightMatrix0to1[1][8] = -1.08579804910738;
   fWeightMatrix0to1[2][8] = -0.589823876771485;
   fWeightMatrix0to1[3][8] = 3.68147965434652;
   fWeightMatrix0to1[4][8] = -4.54012842128264;
   fWeightMatrix0to1[5][8] = -3.66035570781666;
   fWeightMatrix0to1[6][8] = -2.89165581663026;
   fWeightMatrix0to1[7][8] = 2.33264183308946;
   fWeightMatrix0to1[8][8] = 1.3415279471609;
   fWeightMatrix0to1[9][8] = -4.62044360287166;
   fWeightMatrix0to1[10][8] = 2.98492555986749;
   fWeightMatrix0to1[11][8] = -2.37456574510673;
   fWeightMatrix0to1[12][8] = 0.587086704612981;
   fWeightMatrix0to1[13][8] = -1.56824821934716;
   fWeightMatrix0to1[14][8] = -0.00944244275649817;
   fWeightMatrix0to1[15][8] = -0.54370455111471;
   fWeightMatrix0to1[16][8] = 0.10755216415336;
   fWeightMatrix0to1[17][8] = -2.21259272337251;
   fWeightMatrix0to1[18][8] = -1.90999993805484;
   fWeightMatrix0to1[19][8] = -1.98847129941695;
   fWeightMatrix0to1[20][8] = -2.61483775231788;
   fWeightMatrix0to1[21][8] = 1.84434255249723;
   fWeightMatrix0to1[22][8] = 0.265399494264999;
   fWeightMatrix0to1[23][8] = -2.09223102018018;
   fWeightMatrix0to1[24][8] = 2.73348874923582;
   fWeightMatrix0to1[25][8] = 0.0207937127202641;
   fWeightMatrix0to1[26][8] = 0.0503382714013851;
   fWeightMatrix0to1[27][8] = -4.03227463314714;
   fWeightMatrix0to1[0][9] = -0.283346857952689;
   fWeightMatrix0to1[1][9] = 1.08413314263854;
   fWeightMatrix0to1[2][9] = -4.01756013476011;
   fWeightMatrix0to1[3][9] = -0.226230992349798;
   fWeightMatrix0to1[4][9] = -0.224812569308042;
   fWeightMatrix0to1[5][9] = -0.692453541542959;
   fWeightMatrix0to1[6][9] = -6.64263646737045;
   fWeightMatrix0to1[7][9] = -0.699894001434097;
   fWeightMatrix0to1[8][9] = 0.114471164258063;
   fWeightMatrix0to1[9][9] = -3.26066900100342;
   fWeightMatrix0to1[10][9] = 1.04443788813022;
   fWeightMatrix0to1[11][9] = 0.347213071731274;
   fWeightMatrix0to1[12][9] = -0.637071889334972;
   fWeightMatrix0to1[13][9] = 8.47005142059654;
   fWeightMatrix0to1[14][9] = -1.14080890864506;
   fWeightMatrix0to1[15][9] = -4.29353979829091;
   fWeightMatrix0to1[16][9] = -0.305077571138962;
   fWeightMatrix0to1[17][9] = -0.832383471528195;
   fWeightMatrix0to1[18][9] = -1.16431154983418;
   fWeightMatrix0to1[19][9] = -0.554073713985479;
   fWeightMatrix0to1[20][9] = 2.45985772038028;
   fWeightMatrix0to1[21][9] = -0.178182942537822;
   fWeightMatrix0to1[22][9] = -1.74504365789025;
   fWeightMatrix0to1[23][9] = -0.417945354319063;
   fWeightMatrix0to1[24][9] = 0.429255654648667;
   fWeightMatrix0to1[25][9] = 4.25247642269578;
   fWeightMatrix0to1[26][9] = -0.290119454957851;
   fWeightMatrix0to1[27][9] = 8.31898988822373;
   fWeightMatrix0to1[0][10] = 0.0389616559663049;
   fWeightMatrix0to1[1][10] = -1.7087216827942;
   fWeightMatrix0to1[2][10] = 0.615181463198647;
   fWeightMatrix0to1[3][10] = -0.613319407853946;
   fWeightMatrix0to1[4][10] = -4.12478612466757;
   fWeightMatrix0to1[5][10] = -1.08257664111989;
   fWeightMatrix0to1[6][10] = -6.84896356283705;
   fWeightMatrix0to1[7][10] = 2.6808475317631;
   fWeightMatrix0to1[8][10] = -2.14289730751341;
   fWeightMatrix0to1[9][10] = 5.15779658997126;
   fWeightMatrix0to1[10][10] = -1.84538477726229;
   fWeightMatrix0to1[11][10] = 1.07006720403554;
   fWeightMatrix0to1[12][10] = 0.755872284940129;
   fWeightMatrix0to1[13][10] = 3.56861364134423;
   fWeightMatrix0to1[14][10] = 2.01767318469112;
   fWeightMatrix0to1[15][10] = -7.40063288023206;
   fWeightMatrix0to1[16][10] = -0.593417764139543;
   fWeightMatrix0to1[17][10] = 0.502806621745998;
   fWeightMatrix0to1[18][10] = -1.90335009653619;
   fWeightMatrix0to1[19][10] = -2.44733741550576;
   fWeightMatrix0to1[20][10] = -2.31112368751622;
   fWeightMatrix0to1[21][10] = -1.01735977563396;
   fWeightMatrix0to1[22][10] = 0.371594334636776;
   fWeightMatrix0to1[23][10] = -0.431519409035929;
   fWeightMatrix0to1[24][10] = -0.564776047663269;
   fWeightMatrix0to1[25][10] = 1.11121386884957;
   fWeightMatrix0to1[26][10] = -1.98777514917727;
   fWeightMatrix0to1[27][10] = 4.74250526615749;
   fWeightMatrix0to1[0][11] = -1.5162692256309;
   fWeightMatrix0to1[1][11] = -2.0669375496387;
   fWeightMatrix0to1[2][11] = -0.474690370264018;
   fWeightMatrix0to1[3][11] = -3.29393759147304;
   fWeightMatrix0to1[4][11] = -1.51486496880102;
   fWeightMatrix0to1[5][11] = 2.65240730084861;
   fWeightMatrix0to1[6][11] = -0.154404972716411;
   fWeightMatrix0to1[7][11] = -0.17593383800478;
   fWeightMatrix0to1[8][11] = 0.749459682534567;
   fWeightMatrix0to1[9][11] = -6.47185943182445;
   fWeightMatrix0to1[10][11] = 1.52754548943703;
   fWeightMatrix0to1[11][11] = 3.59494535727387;
   fWeightMatrix0to1[12][11] = -0.428274296837548;
   fWeightMatrix0to1[13][11] = -4.33405755644087;
   fWeightMatrix0to1[14][11] = 0.18542521930918;
   fWeightMatrix0to1[15][11] = -7.91042471348758;
   fWeightMatrix0to1[16][11] = -2.82868132409379;
   fWeightMatrix0to1[17][11] = 4.74688998037986;
   fWeightMatrix0to1[18][11] = 1.39241521808252;
   fWeightMatrix0to1[19][11] = 0.637648733976349;
   fWeightMatrix0to1[20][11] = -4.35902160539657;
   fWeightMatrix0to1[21][11] = 2.67436382610125;
   fWeightMatrix0to1[22][11] = 1.01761954015217;
   fWeightMatrix0to1[23][11] = -1.40136884002342;
   fWeightMatrix0to1[24][11] = -2.79833849960313;
   fWeightMatrix0to1[25][11] = -5.49439590872056;
   fWeightMatrix0to1[26][11] = 2.17907968037401;
   fWeightMatrix0to1[27][11] = 0.280277859040489;
   fWeightMatrix0to1[0][12] = -0.619449747748205;
   fWeightMatrix0to1[1][12] = 0.617469133079649;
   fWeightMatrix0to1[2][12] = -2.12133045513964;
   fWeightMatrix0to1[3][12] = 1.65709511602499;
   fWeightMatrix0to1[4][12] = 1.19625325572621;
   fWeightMatrix0to1[5][12] = -0.913368578266439;
   fWeightMatrix0to1[6][12] = 61.8116176493494;
   fWeightMatrix0to1[7][12] = -3.23750020429452;
   fWeightMatrix0to1[8][12] = -0.179498230723668;
   fWeightMatrix0to1[9][12] = 0.248354887858729;
   fWeightMatrix0to1[10][12] = -1.74692962344553;
   fWeightMatrix0to1[11][12] = -1.0999901058959;
   fWeightMatrix0to1[12][12] = -1.08182224672286;
   fWeightMatrix0to1[13][12] = -33.3092042187691;
   fWeightMatrix0to1[14][12] = 1.72601136997352;
   fWeightMatrix0to1[15][12] = -0.951316527852368;
   fWeightMatrix0to1[16][12] = 3.08593357825395;
   fWeightMatrix0to1[17][12] = -2.08727249977613;
   fWeightMatrix0to1[18][12] = -0.98504790387025;
   fWeightMatrix0to1[19][12] = -2.78444347441603;
   fWeightMatrix0to1[20][12] = 1.01568892867244;
   fWeightMatrix0to1[21][12] = 0.344957229063355;
   fWeightMatrix0to1[22][12] = 0.968815083714842;
   fWeightMatrix0to1[23][12] = -2.5043121823633;
   fWeightMatrix0to1[24][12] = -1.18550125266027;
   fWeightMatrix0to1[25][12] = -5.19912252632507;
   fWeightMatrix0to1[26][12] = 0.678084260861952;
   fWeightMatrix0to1[27][12] = 1.656657212751;
   fWeightMatrix0to1[0][13] = 0.566114081133352;
   fWeightMatrix0to1[1][13] = -2.05461184129631;
   fWeightMatrix0to1[2][13] = -6.81129077876426;
   fWeightMatrix0to1[3][13] = -0.631689881695029;
   fWeightMatrix0to1[4][13] = 3.73877649364413;
   fWeightMatrix0to1[5][13] = -0.710796274271921;
   fWeightMatrix0to1[6][13] = -5.56806095433588;
   fWeightMatrix0to1[7][13] = 1.67209247040364;
   fWeightMatrix0to1[8][13] = -1.37504809067633;
   fWeightMatrix0to1[9][13] = -0.0856991944161023;
   fWeightMatrix0to1[10][13] = 0.269590200936265;
   fWeightMatrix0to1[11][13] = 1.39935101922281;
   fWeightMatrix0to1[12][13] = 0.470068360773871;
   fWeightMatrix0to1[13][13] = -15.3128300899161;
   fWeightMatrix0to1[14][13] = 2.51724504522447;
   fWeightMatrix0to1[15][13] = -15.8902660594278;
   fWeightMatrix0to1[16][13] = -1.83993925046447;
   fWeightMatrix0to1[17][13] = -0.188155955556156;
   fWeightMatrix0to1[18][13] = -1.82579055324357;
   fWeightMatrix0to1[19][13] = -0.440708486985727;
   fWeightMatrix0to1[20][13] = 4.38150127378867;
   fWeightMatrix0to1[21][13] = -0.942633326733428;
   fWeightMatrix0to1[22][13] = 0.638587642985035;
   fWeightMatrix0to1[23][13] = 0.898196675204396;
   fWeightMatrix0to1[24][13] = 1.05546392064951;
   fWeightMatrix0to1[25][13] = -0.0285331614078374;
   fWeightMatrix0to1[26][13] = 8.62113764967998;
   fWeightMatrix0to1[27][13] = 0.282030512714826;
   fWeightMatrix0to1[0][14] = -2.53331457290208;
   fWeightMatrix0to1[1][14] = -0.916116189500823;
   fWeightMatrix0to1[2][14] = 9.27190934150699;
   fWeightMatrix0to1[3][14] = -0.133746247019162;
   fWeightMatrix0to1[4][14] = -6.10920727452558;
   fWeightMatrix0to1[5][14] = -0.550656050190813;
   fWeightMatrix0to1[6][14] = 10.7834892229562;
   fWeightMatrix0to1[7][14] = -3.38285114993912;
   fWeightMatrix0to1[8][14] = 1.38072478290461;
   fWeightMatrix0to1[9][14] = 2.60772946292744;
   fWeightMatrix0to1[10][14] = -0.600042352871793;
   fWeightMatrix0to1[11][14] = -5.14477982041252;
   fWeightMatrix0to1[12][14] = 1.85588531092558;
   fWeightMatrix0to1[13][14] = -14.722556988358;
   fWeightMatrix0to1[14][14] = 1.33996139650008;
   fWeightMatrix0to1[15][14] = 23.1512201820079;
   fWeightMatrix0to1[16][14] = -0.946362041470793;
   fWeightMatrix0to1[17][14] = -1.22803161741418;
   fWeightMatrix0to1[18][14] = -0.120664656124578;
   fWeightMatrix0to1[19][14] = -2.66023192544738;
   fWeightMatrix0to1[20][14] = -1.49377874527029;
   fWeightMatrix0to1[21][14] = -3.27733596567835;
   fWeightMatrix0to1[22][14] = 3.26578351211777;
   fWeightMatrix0to1[23][14] = -1.58030348986337;
   fWeightMatrix0to1[24][14] = 1.16544512793775;
   fWeightMatrix0to1[25][14] = -0.373291942674913;
   fWeightMatrix0to1[26][14] = -2.14556867506896;
   fWeightMatrix0to1[27][14] = -10.1618397718798;
   fWeightMatrix0to1[0][15] = -1.04129658399869;
   fWeightMatrix0to1[1][15] = -0.200282570895452;
   fWeightMatrix0to1[2][15] = 4.46882781945212;
   fWeightMatrix0to1[3][15] = -2.95729793296153;
   fWeightMatrix0to1[4][15] = -5.65256987649164;
   fWeightMatrix0to1[5][15] = 0.436878289805496;
   fWeightMatrix0to1[6][15] = -21.5437458979808;
   fWeightMatrix0to1[7][15] = -4.55783070677872;
   fWeightMatrix0to1[8][15] = -1.81773552204449;
   fWeightMatrix0to1[9][15] = 1.13960870612968;
   fWeightMatrix0to1[10][15] = -0.477376794411811;
   fWeightMatrix0to1[11][15] = -0.986681551189262;
   fWeightMatrix0to1[12][15] = -2.52084230667732;
   fWeightMatrix0to1[13][15] = -5.41498421312042;
   fWeightMatrix0to1[14][15] = 2.5653236846435;
   fWeightMatrix0to1[15][15] = -1.26527613280115;
   fWeightMatrix0to1[16][15] = 0.779601971858585;
   fWeightMatrix0to1[17][15] = -1.33000219685144;
   fWeightMatrix0to1[18][15] = -2.02230844111232;
   fWeightMatrix0to1[19][15] = -1.44442850975482;
   fWeightMatrix0to1[20][15] = -2.99612548944293;
   fWeightMatrix0to1[21][15] = -4.11161510112864;
   fWeightMatrix0to1[22][15] = 4.42698861956785;
   fWeightMatrix0to1[23][15] = -1.28215665916011;
   fWeightMatrix0to1[24][15] = -2.03139590518891;
   fWeightMatrix0to1[25][15] = -0.0754194624551176;
   fWeightMatrix0to1[26][15] = -6.05058412166527;
   fWeightMatrix0to1[27][15] = -6.37971858889353;
   fWeightMatrix0to1[0][16] = -1.4940611573586;
   fWeightMatrix0to1[1][16] = -1.58555131476958;
   fWeightMatrix0to1[2][16] = 15.64461790493;
   fWeightMatrix0to1[3][16] = -2.00072797244693;
   fWeightMatrix0to1[4][16] = -2.91533181962925;
   fWeightMatrix0to1[5][16] = 3.97757120464743;
   fWeightMatrix0to1[6][16] = 17.6763445575732;
   fWeightMatrix0to1[7][16] = -1.63223440179429;
   fWeightMatrix0to1[8][16] = 0.833417277554892;
   fWeightMatrix0to1[9][16] = -1.49184881389568;
   fWeightMatrix0to1[10][16] = -0.324821563242533;
   fWeightMatrix0to1[11][16] = 2.71732191510671;
   fWeightMatrix0to1[12][16] = 0.462523956893513;
   fWeightMatrix0to1[13][16] = -12.0983189832043;
   fWeightMatrix0to1[14][16] = 0.912463207168243;
   fWeightMatrix0to1[15][16] = 56.3129923690011;
   fWeightMatrix0to1[16][16] = 0.885343434111175;
   fWeightMatrix0to1[17][16] = -0.740848061178402;
   fWeightMatrix0to1[18][16] = -0.944224273168323;
   fWeightMatrix0to1[19][16] = -2.86027890089023;
   fWeightMatrix0to1[20][16] = -1.6900939591053;
   fWeightMatrix0to1[21][16] = 4.10711620726443;
   fWeightMatrix0to1[22][16] = 7.20313706714496;
   fWeightMatrix0to1[23][16] = -2.16171526613782;
   fWeightMatrix0to1[24][16] = -2.60166731833622;
   fWeightMatrix0to1[25][16] = 0.0554429522077743;
   fWeightMatrix0to1[26][16] = 0.230221735449669;
   fWeightMatrix0to1[27][16] = -38.7418698802571;
   fWeightMatrix0to1[0][17] = -0.231619218885234;
   fWeightMatrix0to1[1][17] = -0.906078795504681;
   fWeightMatrix0to1[2][17] = -0.543745704225026;
   fWeightMatrix0to1[3][17] = 0.710995065023758;
   fWeightMatrix0to1[4][17] = -1.13477500005902;
   fWeightMatrix0to1[5][17] = -0.801020208509724;
   fWeightMatrix0to1[6][17] = -0.606538351212533;
   fWeightMatrix0to1[7][17] = 3.24647400732472;
   fWeightMatrix0to1[8][17] = -0.258651363835657;
   fWeightMatrix0to1[9][17] = 2.60649712499454;
   fWeightMatrix0to1[10][17] = -1.73049959166248;
   fWeightMatrix0to1[11][17] = -4.60377548938802;
   fWeightMatrix0to1[12][17] = 2.63865360009102;
   fWeightMatrix0to1[13][17] = 9.12185187388822;
   fWeightMatrix0to1[14][17] = 1.32805226272787;
   fWeightMatrix0to1[15][17] = -6.82254505068542;
   fWeightMatrix0to1[16][17] = -0.453573011324526;
   fWeightMatrix0to1[17][17] = -3.32510433961884;
   fWeightMatrix0to1[18][17] = -0.958623865553439;
   fWeightMatrix0to1[19][17] = -2.31694416273845;
   fWeightMatrix0to1[20][17] = 0.470167687899755;
   fWeightMatrix0to1[21][17] = -0.600850503186326;
   fWeightMatrix0to1[22][17] = 1.01839300523341;
   fWeightMatrix0to1[23][17] = -0.947737919531529;
   fWeightMatrix0to1[24][17] = -1.5836781484057;
   fWeightMatrix0to1[25][17] = 1.29013807473402;
   fWeightMatrix0to1[26][17] = 1.39574714909963;
   fWeightMatrix0to1[27][17] = 1.12984389139555;
   fWeightMatrix0to1[0][18] = -0.558093910805622;
   fWeightMatrix0to1[1][18] = -0.821962914976134;
   fWeightMatrix0to1[2][18] = 0.278575692363901;
   fWeightMatrix0to1[3][18] = -2.57919762699638;
   fWeightMatrix0to1[4][18] = -0.178687722860061;
   fWeightMatrix0to1[5][18] = -1.31043522909849;
   fWeightMatrix0to1[6][18] = 0.708633647683912;
   fWeightMatrix0to1[7][18] = 0.80019267005652;
   fWeightMatrix0to1[8][18] = -0.272657402093548;
   fWeightMatrix0to1[9][18] = 2.42804811865992;
   fWeightMatrix0to1[10][18] = -0.015580206276969;
   fWeightMatrix0to1[11][18] = -4.31687587683666;
   fWeightMatrix0to1[12][18] = 0.894094064936056;
   fWeightMatrix0to1[13][18] = 8.65634202840821;
   fWeightMatrix0to1[14][18] = 0.729969781370665;
   fWeightMatrix0to1[15][18] = -4.52542515272715;
   fWeightMatrix0to1[16][18] = 2.33292314196422;
   fWeightMatrix0to1[17][18] = -3.12181822427474;
   fWeightMatrix0to1[18][18] = 0.953390011791052;
   fWeightMatrix0to1[19][18] = -2.33637743999056;
   fWeightMatrix0to1[20][18] = 0.652664299583328;
   fWeightMatrix0to1[21][18] = 1.21412221487133;
   fWeightMatrix0to1[22][18] = 0.0268599538582737;
   fWeightMatrix0to1[23][18] = 0.351974461108876;
   fWeightMatrix0to1[24][18] = 1.89220375042832;
   fWeightMatrix0to1[25][18] = -2.39424084391134;
   fWeightMatrix0to1[26][18] = -0.885101999725403;
   fWeightMatrix0to1[27][18] = -0.847714475996255;
   fWeightMatrix0to1[0][19] = -1.27443312011435;
   fWeightMatrix0to1[1][19] = -1.63893475949085;
   fWeightMatrix0to1[2][19] = 0.197106326530292;
   fWeightMatrix0to1[3][19] = -8.20276840320154;
   fWeightMatrix0to1[4][19] = 5.6123027116056;
   fWeightMatrix0to1[5][19] = -0.181151225454888;
   fWeightMatrix0to1[6][19] = -1.06574130389349;
   fWeightMatrix0to1[7][19] = -0.590426477816737;
   fWeightMatrix0to1[8][19] = 0.49931018028784;
   fWeightMatrix0to1[9][19] = 20.4392189685672;
   fWeightMatrix0to1[10][19] = 6.01666128760384;
   fWeightMatrix0to1[11][19] = -0.327947595343574;
   fWeightMatrix0to1[12][19] = 7.28083925045521;
   fWeightMatrix0to1[13][19] = 3.27735663505739;
   fWeightMatrix0to1[14][19] = -14.0238081075873;
   fWeightMatrix0to1[15][19] = -13.1669465147316;
   fWeightMatrix0to1[16][19] = 2.38584725286622;
   fWeightMatrix0to1[17][19] = 4.09281167624449;
   fWeightMatrix0to1[18][19] = -0.508697519854889;
   fWeightMatrix0to1[19][19] = 7.00381889608517;
   fWeightMatrix0to1[20][19] = 12.1645435868972;
   fWeightMatrix0to1[21][19] = -4.01484024588269;
   fWeightMatrix0to1[22][19] = -0.875256019516604;
   fWeightMatrix0to1[23][19] = -3.01713283368283;
   fWeightMatrix0to1[24][19] = 3.40453400304799;
   fWeightMatrix0to1[25][19] = -24.2838614544036;
   fWeightMatrix0to1[26][19] = 12.3480346262531;
   fWeightMatrix0to1[27][19] = -1.21713576011276;
   fWeightMatrix0to1[0][20] = -0.300433753883116;
   fWeightMatrix0to1[1][20] = 0.607459222290773;
   fWeightMatrix0to1[2][20] = -3.65056062792676;
   fWeightMatrix0to1[3][20] = -1.48302065594442;
   fWeightMatrix0to1[4][20] = 1.928863079617;
   fWeightMatrix0to1[5][20] = -2.45832164201631;
   fWeightMatrix0to1[6][20] = -6.26465629538959;
   fWeightMatrix0to1[7][20] = -0.652537206158976;
   fWeightMatrix0to1[8][20] = -2.1063664049768;
   fWeightMatrix0to1[9][20] = -1.10345080441472;
   fWeightMatrix0to1[10][20] = 0.270675842282846;
   fWeightMatrix0to1[11][20] = -0.892355124937475;
   fWeightMatrix0to1[12][20] = 0.819802033268407;
   fWeightMatrix0to1[13][20] = 10.3480771913993;
   fWeightMatrix0to1[14][20] = -0.376195767744671;
   fWeightMatrix0to1[15][20] = -6.93423252450147;
   fWeightMatrix0to1[16][20] = -1.77938230906262;
   fWeightMatrix0to1[17][20] = -1.62468825610856;
   fWeightMatrix0to1[18][20] = 0.939403187551602;
   fWeightMatrix0to1[19][20] = -1.40316219284091;
   fWeightMatrix0to1[20][20] = -0.959650553757352;
   fWeightMatrix0to1[21][20] = 0.0668997244933529;
   fWeightMatrix0to1[22][20] = -1.15079685388458;
   fWeightMatrix0to1[23][20] = -2.37855773607168;
   fWeightMatrix0to1[24][20] = -1.46565310870139;
   fWeightMatrix0to1[25][20] = -7.17950982389529;
   fWeightMatrix0to1[26][20] = 1.88599429426435;
   fWeightMatrix0to1[27][20] = 9.85349126480832;
   // weight matrix from layer 1 to 2
   fWeightMatrix1to2[0][0] = 0.94072613582951;
   fWeightMatrix1to2[0][1] = -2.16038747340349;
   fWeightMatrix1to2[0][2] = -2.63214800390011;
   fWeightMatrix1to2[0][3] = 1.38444516575126;
   fWeightMatrix1to2[0][4] = 3.36805894366603;
   fWeightMatrix1to2[0][5] = 2.44168041257314;
   fWeightMatrix1to2[0][6] = -5.81189334456105;
   fWeightMatrix1to2[0][7] = -7.08095255798827;
   fWeightMatrix1to2[0][8] = 1.2306903929673;
   fWeightMatrix1to2[0][9] = -1.38480692745072;
   fWeightMatrix1to2[0][10] = 1.51933126332677;
   fWeightMatrix1to2[0][11] = 0.511337379774113;
   fWeightMatrix1to2[0][12] = -2.71447875720763;
   fWeightMatrix1to2[0][13] = 2.9593498362196;
   fWeightMatrix1to2[0][14] = 3.58464790402758;
   fWeightMatrix1to2[0][15] = -2.30502163414386;
   fWeightMatrix1to2[0][16] = 0.98519605801699;
   fWeightMatrix1to2[0][17] = 0.803204524483455;
   fWeightMatrix1to2[0][18] = -0.880900860480471;
   fWeightMatrix1to2[0][19] = -3.69086335878782;
   fWeightMatrix1to2[0][20] = 1.97205105415147;
   fWeightMatrix1to2[0][21] = -1.84729103392667;
   fWeightMatrix1to2[0][22] = 6.80826969747797;
   fWeightMatrix1to2[0][23] = 0.370137859369691;
   fWeightMatrix1to2[0][24] = -1.54702802960034;
   fWeightMatrix1to2[0][25] = 0.933485548126895;
   fWeightMatrix1to2[0][26] = -1.56484207330362;
   fWeightMatrix1to2[0][27] = 3.66196071504147;
   fWeightMatrix1to2[0][28] = -2.22669409916375;
}

inline double ReadPion_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 ReadPion_Upstream_TMVA::ActivationFnc(double x) const {
   // sigmoid
   return 1.0/(1.0+exp(-x));
}
double ReadPion_Upstream_TMVA::OutputActivationFnc(double x) const {
   // sigmoid
   return 1.0/(1.0+exp(-x));
}
   
// Clean up
inline void ReadPion_Upstream_TMVA::Clear() 
{
   // clean up the arrays
   for (int lIdx = 0; lIdx < 3; lIdx++) {
      delete[] fWeights[lIdx];
   }
}
   inline double ReadPion_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;
            iV.reserve(inputValues.size());
            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 ReadPion_Upstream_TMVA::InitTransform_1()
{
   // Normalization transformation, initialisation
   fMin_1[0][0] = 253.580001831;
   fMax_1[0][0] = 4379901;
   fMin_1[1][0] = 275.899993896;
   fMax_1[1][0] = 4741412;
   fMin_1[2][0] = 253.580001831;
   fMax_1[2][0] = 4741412;
   fMin_1[0][1] = 5.38133239746;
   fMax_1[0][1] = 954913.375;
   fMin_1[1][1] = 9.20012378693;
   fMax_1[1][1] = 863977.75;
   fMin_1[2][1] = 5.38133239746;
   fMax_1[2][1] = 954913.375;
   fMin_1[0][2] = 0.00438635889441;
   fMax_1[0][2] = 2.99875736237;
   fMin_1[1][2] = 0.0131862042472;
   fMax_1[1][2] = 2.99858546257;
   fMin_1[2][2] = 0.00438635889441;
   fMax_1[2][2] = 2.99875736237;
   fMin_1[0][3] = 4;
   fMax_1[0][3] = 27;
   fMin_1[1][3] = 4;
   fMax_1[1][3] = 26;
   fMin_1[2][3] = 4;
   fMax_1[2][3] = 27;
   fMin_1[0][4] = -59.4464607239;
   fMax_1[0][4] = -0.329912275076;
   fMin_1[1][4] = -40.3661956787;
   fMax_1[1][4] = -0.346602231264;
   fMin_1[2][4] = -59.4464607239;
   fMax_1[2][4] = -0.329912275076;
   fMin_1[0][5] = 0.0295318737626;
   fMax_1[0][5] = 1;
   fMin_1[1][5] = 0.0299832448363;
   fMax_1[1][5] = 1;
   fMin_1[2][5] = 0.0295318737626;
   fMax_1[2][5] = 1;
   fMin_1[0][6] = 0.00019710882043;
   fMax_1[0][6] = 48.2787208557;
   fMin_1[1][6] = 9.30839669309e-05;
   fMax_1[1][6] = 47.542350769;
   fMin_1[2][6] = 9.30839669309e-05;
   fMax_1[2][6] = 48.2787208557;
   fMin_1[0][7] = 1;
   fMax_1[0][7] = 23;
   fMin_1[1][7] = 1;
   fMax_1[1][7] = 22;
   fMin_1[2][7] = 1;
   fMax_1[2][7] = 23;
   fMin_1[0][8] = 0;
   fMax_1[0][8] = 1;
   fMin_1[1][8] = 0;
   fMax_1[1][8] = 1;
   fMin_1[2][8] = 0;
   fMax_1[2][8] = 1;
   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] = -999;
   fMax_1[0][12] = 93.6623001099;
   fMin_1[1][12] = -999;
   fMax_1[1][12] = 117.404403687;
   fMin_1[2][12] = -999;
   fMax_1[2][12] = 117.404403687;
   fMin_1[0][13] = -999;
   fMax_1[0][13] = 73.7898025513;
   fMin_1[1][13] = -999;
   fMax_1[1][13] = 75.9692993164;
   fMin_1[2][13] = -999;
   fMax_1[2][13] = 75.9692993164;
   fMin_1[0][14] = -999;
   fMax_1[0][14] = 82.0094985962;
   fMin_1[1][14] = -999;
   fMax_1[1][14] = 92.4810028076;
   fMin_1[2][14] = -999;
   fMax_1[2][14] = 92.4810028076;
   fMin_1[0][15] = -999;
   fMax_1[0][15] = 78.448600769;
   fMin_1[1][15] = -999;
   fMax_1[1][15] = 84.875;
   fMin_1[2][15] = -999;
   fMax_1[2][15] = 84.875;
   fMin_1[0][16] = -999;
   fMax_1[0][16] = 47.9555015564;
   fMin_1[1][16] = -999;
   fMax_1[1][16] = 47.5180015564;
   fMin_1[2][16] = -999;
   fMax_1[2][16] = 47.9555015564;
   fMin_1[0][17] = 0;
   fMax_1[0][17] = 1;
   fMin_1[1][17] = 0;
   fMax_1[1][17] = 1;
   fMin_1[2][17] = 0;
   fMax_1[2][17] = 1;
   fMin_1[0][18] = -999;
   fMax_1[0][18] = 4.49353694916;
   fMin_1[1][18] = -999;
   fMax_1[1][18] = 4.79148387909;
   fMin_1[2][18] = -999;
   fMax_1[2][18] = 4.79148387909;
   fMin_1[0][19] = 0.522471904755;
   fMax_1[0][19] = 2.90730333328;
   fMin_1[1][19] = 0.528089880943;
   fMax_1[1][19] = 3.59951853752;
   fMin_1[2][19] = 0.522471904755;
   fMax_1[2][19] = 3.59951853752;
}

//_______________________________________________________________________
inline void ReadPion_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 = 20;

   // get indices of used variables

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

   if ( indicesGet.empty() ) { 
      indicesGet.reserve(fNvars);
      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);
   } 
   if ( indicesPut.empty() ) { 
      indicesPut.reserve(fNvars);
      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);
   } 

   static std::vector<double> dv;
   dv.resize(nVar);
   for (int ivar=0; ivar<nVar; ivar++) dv[ivar] = iv[indicesGet.at(ivar)];
   for (int ivar=0;ivar<20;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 ReadPion_Upstream_TMVA::InitTransform()
{
   InitTransform_1();
}

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