// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Tools/MendelMin.hh"

namespace Rivet {



  double f1(double p0, double p1) {
    const double x = p0 - 0.3;
    const double y = p1 - 0.5;
    return (x*x + 2*y*y) + 0.1*sin(x)*sin(y);
  }

  double f2(const MendelMin::Params& p, const MendelMin::Params&) {
    return f1(p[0], p[1]);
  }

  double f3(const MendelMin::Params& p) {
    return f1(p[0], p[1]);
  }



  /// @brief Demo of using the Rivet function minimizer
  class EXAMPLE_MINIMIZE : public Analysis {
  public:

    /// Constructor
    DEFAULT_RIVET_ANALYSIS_CTOR(EXAMPLE_MINIMIZE);


    /// @name Analysis methods
    //@{

    /// Book histograms and initialise projections before the run
    // void init() {    }


    /// Perform the per-event analysis
    void analyze(const Event& event) {
      // MendelMin mm(f2, 2, {});
      MendelMin mm(f3, 2);
      const double best = mm.evolve(20);

      valarray<double> fittest = mm.fittest();
      // cout << "FOUND ANSWER: " << f2(fittest, {}) << " == " << best << "; ";
      cout << "FOUND ANSWER: " << f3(fittest) << " == " << best << "; ";
      for (double x : fittest)
        cout << x << " ";
      cout << endl;

      valarray<double> right{0.3, 0.5};
      // cout << "RIGHT ANSWER: " << f2(right, {}) << "; ";
      cout << "RIGHT ANSWER: " << f3(right) << "; ";
      for (double x : right)
        cout << x << " ";
      cout << endl;

    }


    /// Normalise histograms etc., after the run
    // void finalize() {    }

    //@}

  };


  DECLARE_RIVET_PLUGIN(EXAMPLE_MINIMIZE);

}