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

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, LEARNER::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;
  }

  LEARNER::base_learner* setup(vw& all, po::variables_map& vm)
  {
    po::options_description opts("Print options");
    opts.add_options()
      ("print","print examples");
    vm = add_options(all, opts);
    if(!vm.count("print"))
      return NULL;

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