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/*
    This file is part of the TOBI SignalServer.

    Commercial Usage
    Licensees holding valid Graz University of Technology Commercial
    licenses may use this file in accordance with the Graz University
    of Technology Commercial License Agreement provided with the
    Software or, alternatively, in accordance with the terms contained in
    a written agreement between you and Graz University of Technology.

    --------------------------------------------------

    GNU General Public License Usage
    Alternatively, this file may be used under the terms of the GNU
    General Public License version 3.0 as published by the Free Software
    Foundation and appearing in the file gpl.txt included in the
    packaging of this file.  Please review the following information to
    ensure the GNU General Public License version 3.0 requirements will be
    met: http://www.gnu.org/copyleft/gpl.html.

    In case of GNU General Public License Usage ,the TOBI SignalServer
    is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with the TOBI SignalServer. If not, see <http://www.gnu.org/licenses/>.

    Copyright 2010 Graz University of Technology
    Contact: SignalServer@tobi-project.org
*/

#ifndef STATISTICS_H
#define STATISTICS_H

#include <boost/circular_buffer.hpp>
#include <list>

namespace tobiss
{

class Statistics
{
friend class StatisticInterface;

public:
  Statistics( bool buffer_data = false, size_t window_size = 1);

  virtual ~Statistics( );

  void update( double x );

  void  print(std::ostream &out = std::cout, bool print_everything = false)
  {

  }

  void printAll( std::ostream &out = std::cout );

  void printWindowStatistics( std::ostream &out = std::cout );

  void printFastStatistics( std::ostream &out = std::cout );

  void reset( );

  void setUpdateCoefficient(double coeff);

  double get_mean( ) { return mean_; }

  double get_var();

  double get_median();

  double get_min() { return min_; }
  double get_max() { return max_; }

  double get_adaptive_mean( ) { return adaptive_mean_; }
  double get_adaptive_var( ) { return adaptive_var_; }

  double get_window_mean( );

  double get_window_median( );

  double get_window_min( );
  double get_window_max( );

  double get_window_var( );

protected:
  void getSamples( size_t buffersize, std::list<double>::iterator begin, std::list<double>::iterator end  );

private:
  template<typename T> inline static void delptr( T ptr ) { delete ptr; }
  void sort_win_buffer();

  void sort_sample_buffer();

private:
  boost::circular_buffer<double>      window_buffer_;
  boost::circular_buffer<double>      window_buffer_sorted_;
  std::list<double>                   sample_buffer_;
  double N;
  double update_coefficient_;

  double mean_;
  double var_;
  double min_;
  double max_;

  double adaptive_mean_;
  double adaptive_var_;

  bool   buffer_data_;
  size_t window_size_;
  bool   win_buf_is_sorted_;
  bool   sample_buf_is_sorted_;
};

}

#endif