#ifndef _DTRAIN_SAMPLE_H_
#define _DTRAIN_SAMPLE_H_


#include "kbestget.h"


namespace dtrain
{


struct TPair
{
  SparseVector<double> first, second;
  size_t first_rank, second_rank;
  double first_score, second_score;
};

typedef vector<TPair> TrainingInstances;


void
sample_all( KBestList* kb, TrainingInstances &training )
{
  for ( size_t i = 0; i < kb->GetSize()-1; i++ ) {
    for ( size_t j = i+1; j < kb->GetSize(); j++ ) {
      TPair p;
      p.first = kb->feats[i];
      p.second = kb->feats[j];
      p.first_rank = i;
      p.second_rank = j;
      p.first_score = kb->scores[i];
      p.second_score = kb->scores[j];
      training.push_back( p );
    }
  }
}

void
sample_all_rand( KBestList* kb, TrainingInstances &training )
{
  srand( time(NULL) );
  for ( size_t i = 0; i < kb->GetSize()-1; i++ ) {
    for ( size_t j = i+1; j < kb->GetSize(); j++ ) {
      if ( rand() % 2 ) {
      TPair p;
      p.first = kb->feats[i];
      p.second = kb->feats[j];
      p.first_rank = i;
      p.second_rank = j;
      p.first_score = kb->scores[i];
      p.second_score = kb->scores[j];
      training.push_back( p );
      }
    }
  }
}


} // namespace


#endif