#include "RooFit.h"
#include <assert.h>
#include <math.h>
#include <float.h>
#include <stdlib.h>
#include "Riostream.h"
#include "TMath.h"
#include "RooGaussKronrodIntegrator1D.h"
#include "RooArgSet.h"
#include "RooRealVar.h"
#include "RooNumber.h"
#include "RooNumIntFactory.h"
#include "RooIntegratorBinding.h"
ClassImp(RooGaussKronrodIntegrator1D)
;
struct gsl_function_struct
{
  double (* function) (double x, void * params);
  void * params;
};
typedef struct gsl_function_struct gsl_function ;
#define GSL_FN_EVAL(F,x) (*((F)->function))(x,(F)->params)
int gsl_integration_qng (const gsl_function * f,
                         double a, double b,
                         double epsabs, double epsrel,
                         double *result, double *abserr,
                         size_t * neval);
void RooGaussKronrodIntegrator1D::registerIntegrator(RooNumIntFactory& fact)
{
  fact.storeProtoIntegrator(new RooGaussKronrodIntegrator1D(),RooArgSet()) ;
}
RooGaussKronrodIntegrator1D::RooGaussKronrodIntegrator1D()
{
}
RooGaussKronrodIntegrator1D::RooGaussKronrodIntegrator1D(const RooAbsFunc& function, const RooNumIntConfig& config) :
  RooAbsIntegrator(function),
  _epsAbs(config.epsRel()),
  _epsRel(config.epsAbs())
{
  
  _useIntegrandLimits= kTRUE;
  _valid= initialize();
} 
RooGaussKronrodIntegrator1D::RooGaussKronrodIntegrator1D(const RooAbsFunc& function, 
							 Double_t xmin, Double_t xmax, const RooNumIntConfig& config) :
  RooAbsIntegrator(function),
  _epsAbs(config.epsRel()),
  _epsRel(config.epsAbs()),
  _xmin(xmin),
  _xmax(xmax)
{
  
  _useIntegrandLimits= kFALSE;
  _valid= initialize();
} 
RooAbsIntegrator* RooGaussKronrodIntegrator1D::clone(const RooAbsFunc& function, const RooNumIntConfig& config) const
{
  return new RooGaussKronrodIntegrator1D(function,config) ;
}
Bool_t RooGaussKronrodIntegrator1D::initialize()
{
  
  _x = new Double_t[_function->getDimension()] ;
  return checkLimits();
}
RooGaussKronrodIntegrator1D::~RooGaussKronrodIntegrator1D()
{
  delete[] _x ;
}
Bool_t RooGaussKronrodIntegrator1D::setLimits(Double_t xmin, Double_t xmax) {
  
  
  
  if(_useIntegrandLimits) {
    cout << "RooGaussKronrodIntegrator1D::setLimits: cannot override integrand's limits" << endl;
    return kFALSE;
  }
  _xmin= xmin;
  _xmax= xmax;
  return checkLimits();
}
Bool_t RooGaussKronrodIntegrator1D::checkLimits() const {
  
  
  if(_useIntegrandLimits) {
    assert(0 != integrand() && integrand()->isValid());
    _xmin= integrand()->getMinLimit(0);
    _xmax= integrand()->getMaxLimit(0);
  }
  return kTRUE ;
}
double RooGaussKronrodIntegrator1D_GSL_GlueFunction(double x, void *data) 
{
  RooGaussKronrodIntegrator1D* instance = (RooGaussKronrodIntegrator1D*) data ;
  return instance->integrand(instance->xvec(x)) ;
}
Double_t RooGaussKronrodIntegrator1D::integral(const Double_t *yvec) 
{
  assert(isValid());
  
  if (yvec) {
    UInt_t i ; for (i=0 ; i<_function->getDimension()-1 ; i++) {
      _x[i+1] = yvec[i] ;
    }
  }
  
  gsl_function F;
  F.function = &RooGaussKronrodIntegrator1D_GSL_GlueFunction ;
  F.params = this ;
  
  double result, error;
  size_t neval = 0 ;
  
  gsl_integration_qng (&F, _xmin, _xmax, _epsAbs, _epsRel, &result, &error, &neval); 
  return result;
}
#define GSL_SUCCESS 0
#define GSL_EBADTOL 13  /* user specified an invalid tolerance */
#define GSL_ETOL    14  /* failed to reach the specified tolerance */
#define GSL_ERROR(a,b) cout << "RooGaussKronrodIntegrator1D::integral() ERROR: " << a << endl ; return b ;
#define GSL_DBL_MIN        2.2250738585072014e-308
#define GSL_DBL_EPSILON    2.2204460492503131e-16
int gsl_integration_qng (const gsl_function * f,
                         double a, double b,
                         double epsabs, double epsrel,
                         double *result, double *abserr,
                         size_t * neval);
static double rescale_error (double err, const double result_abs, const double result_asc) ;
static double
rescale_error (double err, const double result_abs, const double result_asc)
{
  err = fabs(err) ;
  if (result_asc != 0 && err != 0)
      {
        double scale = TMath::Power((200 * err / result_asc), 1.5) ;
        
        if (scale < 1)
          {
            err = result_asc * scale ;
          }
        else 
          {
            err = result_asc ;
          }
      }
  if (result_abs > GSL_DBL_MIN / (50 * GSL_DBL_EPSILON))
    {
      double min_err = 50 * GSL_DBL_EPSILON * result_abs ;
      if (min_err > err) 
        {
          err = min_err ;
        }
    }
  
  return err ;
}
static const double x1[5] = {
  0.973906528517171720077964012084452,
  0.865063366688984510732096688423493,
  0.679409568299024406234327365114874,
  0.433395394129247190799265943165784,
  0.148874338981631210884826001129720
} ;
static const double w10[5] = {
  0.066671344308688137593568809893332,
  0.149451349150580593145776339657697,
  0.219086362515982043995534934228163,
  0.269266719309996355091226921569469,
  0.295524224714752870173892994651338
} ;
static const double x2[5] = {
  0.995657163025808080735527280689003,
  0.930157491355708226001207180059508,
  0.780817726586416897063717578345042,
  0.562757134668604683339000099272694,
  0.294392862701460198131126603103866
} ;
static const double w21a[5] = {
  0.032558162307964727478818972459390,
  0.075039674810919952767043140916190,
  0.109387158802297641899210590325805,
  0.134709217311473325928054001771707,
  0.147739104901338491374841515972068
} ;
static const double w21b[6] = {
  0.011694638867371874278064396062192,
  0.054755896574351996031381300244580,
  0.093125454583697605535065465083366,
  0.123491976262065851077958109831074,
  0.142775938577060080797094273138717,
  0.149445554002916905664936468389821
} ;
static const double x3[11] = {
  0.999333360901932081394099323919911,
  0.987433402908088869795961478381209,
  0.954807934814266299257919200290473,
  0.900148695748328293625099494069092,
  0.825198314983114150847066732588520,
  0.732148388989304982612354848755461,
  0.622847970537725238641159120344323,
  0.499479574071056499952214885499755,
  0.364901661346580768043989548502644,
  0.222254919776601296498260928066212,
  0.074650617461383322043914435796506
} ;
static const double w43a[10] = {
  0.016296734289666564924281974617663,
  0.037522876120869501461613795898115,
  0.054694902058255442147212685465005,
  0.067355414609478086075553166302174,
  0.073870199632393953432140695251367,
  0.005768556059769796184184327908655,
  0.027371890593248842081276069289151,
  0.046560826910428830743339154433824,
  0.061744995201442564496240336030883,
  0.071387267268693397768559114425516
} ;
static const double w43b[12] = {
  0.001844477640212414100389106552965,
  0.010798689585891651740465406741293,
  0.021895363867795428102523123075149,
  0.032597463975345689443882222526137,
  0.042163137935191811847627924327955,
  0.050741939600184577780189020092084,
  0.058379395542619248375475369330206,
  0.064746404951445885544689259517511,
  0.069566197912356484528633315038405,
  0.072824441471833208150939535192842,
  0.074507751014175118273571813842889,
  0.074722147517403005594425168280423
} ;
static const double x4[22] = {
  0.999902977262729234490529830591582,
  0.997989895986678745427496322365960,
  0.992175497860687222808523352251425,
  0.981358163572712773571916941623894,
  0.965057623858384619128284110607926,
  0.943167613133670596816416634507426,
  0.915806414685507209591826430720050,
  0.883221657771316501372117548744163,
  0.845710748462415666605902011504855,
  0.803557658035230982788739474980964,
  0.757005730685495558328942793432020,
  0.706273209787321819824094274740840,
  0.651589466501177922534422205016736,
  0.593223374057961088875273770349144,
  0.531493605970831932285268948562671,
  0.466763623042022844871966781659270,
  0.399424847859218804732101665817923,
  0.329874877106188288265053371824597,
  0.258503559202161551802280975429025,
  0.185695396568346652015917141167606,
  0.111842213179907468172398359241362,
  0.037352123394619870814998165437704
} ;
static const double w87a[21] = {
  0.008148377384149172900002878448190,
  0.018761438201562822243935059003794,
  0.027347451050052286161582829741283,
  0.033677707311637930046581056957588,
  0.036935099820427907614589586742499,
  0.002884872430211530501334156248695,
  0.013685946022712701888950035273128,
  0.023280413502888311123409291030404,
  0.030872497611713358675466394126442,
  0.035693633639418770719351355457044,
  0.000915283345202241360843392549948,
  0.005399280219300471367738743391053,
  0.010947679601118931134327826856808,
  0.016298731696787335262665703223280,
  0.021081568889203835112433060188190,
  0.025370969769253827243467999831710,
  0.029189697756475752501446154084920,
  0.032373202467202789685788194889595,
  0.034783098950365142750781997949596,
  0.036412220731351787562801163687577,
  0.037253875503047708539592001191226
} ;
static const double w87b[23] = {
  0.000274145563762072350016527092881,
  0.001807124155057942948341311753254,
  0.004096869282759164864458070683480,
  0.006758290051847378699816577897424,
  0.009549957672201646536053581325377,
  0.012329447652244853694626639963780,
  0.015010447346388952376697286041943,
  0.017548967986243191099665352925900,
  0.019938037786440888202278192730714,
  0.022194935961012286796332102959499,
  0.024339147126000805470360647041454,
  0.026374505414839207241503786552615,
  0.028286910788771200659968002987960,
  0.030052581128092695322521110347341,
  0.031646751371439929404586051078883,
  0.033050413419978503290785944862689,
  0.034255099704226061787082821046821,
  0.035262412660156681033782717998428,
  0.036076989622888701185500318003895,
  0.036698604498456094498018047441094,
  0.037120549269832576114119958413599,
  0.037334228751935040321235449094698,
  0.037361073762679023410321241766599
} ;
int
gsl_integration_qng (const gsl_function *f,
                     double a, double b,
                     double epsabs, double epsrel,
                     double * result, double * abserr, size_t * neval)
{
  double fv1[5], fv2[5], fv3[5], fv4[5];
  double savfun[21];  
  double res10, res21, res43, res87;    
  double result_kronrod, err ; 
  double resabs; 
  double resasc; 
  const double half_length =  0.5 * (b - a);
  const double abs_half_length = fabs (half_length);
  const double center = 0.5 * (b + a);
  const double f_center = GSL_FN_EVAL(f, center);
  int k ;
  if (epsabs <= 0 && (epsrel < 50 * GSL_DBL_EPSILON || epsrel < 0.5e-28))
    {
      * result = 0;
      * abserr = 0;
      * neval = 0;
      GSL_ERROR ("tolerance cannot be acheived with given epsabs and epsrel",
		 GSL_EBADTOL);
    };
  
  res10 = 0;
  res21 = w21b[5] * f_center;
  resabs = w21b[5] * fabs (f_center);
  for (k = 0; k < 5; k++)
    {
      const double abscissa = half_length * x1[k];
      const double fval1 = GSL_FN_EVAL(f, center + abscissa);
      const double fval2 = GSL_FN_EVAL(f, center - abscissa);
      const double fval = fval1 + fval2;
      res10 += w10[k] * fval;
      res21 += w21a[k] * fval;
      resabs += w21a[k] * (fabs (fval1) + fabs (fval2));
      savfun[k] = fval;
      fv1[k] = fval1;
      fv2[k] = fval2;
    }
  for (k = 0; k < 5; k++)
    {
      const double abscissa = half_length * x2[k];
      const double fval1 = GSL_FN_EVAL(f, center + abscissa);
      const double fval2 = GSL_FN_EVAL(f, center - abscissa);
      const double fval = fval1 + fval2;
      res21 += w21b[k] * fval;
      resabs += w21b[k] * (fabs (fval1) + fabs (fval2));
      savfun[k + 5] = fval;
      fv3[k] = fval1;
      fv4[k] = fval2;
    }
  resabs *= abs_half_length ;
  { 
    const double mean = 0.5 * res21;
  
    resasc = w21b[5] * fabs (f_center - mean);
    
    for (k = 0; k < 5; k++)
      {
        resasc +=
          (w21a[k] * (fabs (fv1[k] - mean) + fabs (fv2[k] - mean))
          + w21b[k] * (fabs (fv3[k] - mean) + fabs (fv4[k] - mean)));
      }
    resasc *= abs_half_length ;
  }
  result_kronrod = res21 * half_length;
  
  err = rescale_error ((res21 - res10) * half_length, resabs, resasc) ;
  
  if (err < epsabs || err < epsrel * fabs (result_kronrod))
    {
      * result = result_kronrod ;
      * abserr = err ;
      * neval = 21;
      return GSL_SUCCESS;
    }
  
  res43 = w43b[11] * f_center;
  for (k = 0; k < 10; k++)
    {
      res43 += savfun[k] * w43a[k];
    }
  for (k = 0; k < 11; k++)
    {
      const double abscissa = half_length * x3[k];
      const double fval = (GSL_FN_EVAL(f, center + abscissa) 
                           + GSL_FN_EVAL(f, center - abscissa));
      res43 += fval * w43b[k];
      savfun[k + 10] = fval;
    }
  
  result_kronrod = res43 * half_length;
  err = rescale_error ((res43 - res21) * half_length, resabs, resasc);
  if (err < epsabs || err < epsrel * fabs (result_kronrod))
    {
      * result = result_kronrod ;
      * abserr = err ;
      * neval = 43;
      return GSL_SUCCESS;
    }
  
  res87 = w87b[22] * f_center;
  for (k = 0; k < 21; k++)
    {
      res87 += savfun[k] * w87a[k];
    }
  for (k = 0; k < 22; k++)
    {
      const double abscissa = half_length * x4[k];
      res87 += w87b[k] * (GSL_FN_EVAL(f, center + abscissa) 
                          + GSL_FN_EVAL(f, center - abscissa));
    }
  
  result_kronrod = res87 * half_length ;
  
  err = rescale_error ((res87 - res43) * half_length, resabs, resasc);
  
  if (err < epsabs || err < epsrel * fabs (result_kronrod))
    {
      * result = result_kronrod ;
      * abserr = err ;
      * neval = 87;
      return GSL_SUCCESS;
    }
  
  * result = result_kronrod ;
  * abserr = err ;
  * neval = 87;
  
  return GSL_ETOL ;
}
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