d9/db4/ClusterizingHistogram_8h_source.html

#ifndef _CLUSTERIZINGHISTOGRAM_TT_H_

#define _CLUSTERIZINGHISTOGRAM_TT_H_


#include <vector>

#include <cmath>


class ClusterizingHistogram {

public:

  ClusterizingHistogram(int nb, float xmi, float xma);

  ~ClusterizingHistogram();


  void fill(float x);

  int nbins() const { return my_nbins; }

  float min_x() const { return xmin; }

  float max_x() const { return xmax; }

  int entries() const { return my_entries; }

  int underflows() const { return my_underflows; }

  int overflows() const { return my_overflows; }

  float bin_pos(int i) const { return (bin_entries[i] != 0) ? bin_means[i] / bin_entries[i] : 0; }

  void dump() const;

  void dump(int i1, int i2) const;

  void dump(float x1, float x2) const;

  void dump(double x1, double x2) const;

  void dump(float x1, double x2) const;

  void dump(double x1, float x2) const;

  void reset();

  int bin(float x) const;

  int bin(double x) const;


  std::vector<float> clusterize(float resolution);


private:

  ClusterizingHistogram() {}  // Prohibit

  int my_nbins;

  float xmin;

  float xmax;

  int my_entries;

  int my_underflows;

  int my_overflows;

  int *bin_entries;

  float *bin_means;

  float binsiz;

};


#endif