#include "example.h"
#include "simple_label.h"
#include "gd.h"
#include "float.h"
#include "reductions.h"

using namespace LEARNER;

namespace PRINT
{
  struct print{
    vw* all;
    
  };

  void print_feature(vw& all, float value, float& weight)
  {
    size_t index = &weight - all.reg.weight_vector;

    cout << index;
    if (value != 1.)
      cout << ":" << value;
    cout << " ";
  }

  void learn(print& p, base_learner& base, example& ec)
  {
    label_data& ld = ec.l.simple;
    if (ld.label != FLT_MAX)
      {
	cout << ld.label << " ";
	if (ld.weight != 1 || ld.initial != 0)
	  {
	    cout << ld.weight << " ";
	    if (ld.initial != 0)
	      cout << ld.initial << " ";
	  }
      }
    if (ec.tag.size() > 0)
      {
	cout << '\'';
	cout.write(ec.tag.begin, ec.tag.size());
      }
    cout << "| ";
    GD::foreach_feature<vw, print_feature>(*(p.all), ec, *p.all);
    cout << endl;
  }
  
  base_learner* setup(vw& all)
  {
    print& p = calloc_or_die<print>();
    p.all = &all;
    size_t length = ((size_t)1) << all.num_bits;
    all.reg.weight_mask = (length << all.reg.stride_shift) - 1;
    all.reg.stride_shift = 0;

    learner<print>& ret = init_learner(&p, 1);
    ret.set_learn(learn);
    ret.set_predict(learn);
    return make_base(ret);
  } 
}