/*

EGYPT Toolkit for Statistical Machine Translation
Written by Yaser Al-Onaizan, Jan Curin, Michael Jahr, Kevin Knight, John Lafferty, Dan Melamed, David Purdy, Franz Och, Noah Smith, and David Yarowsky.

This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.

This program 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 this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
USA.

*/
#ifndef _hmm_h
#define _hmm_h 1

#include <cassert>

#include <iostream>
#include <algorithm>
#include <functional>
#include <map>
#include <set>
#include "Vector.h"
#include <utility>

#if __GNUC__>2
#include <ext/hash_map>
using __gnu_cxx::hash_map;
#else
#include <hash_map>
#endif
#include <fstream>
#include <cmath>
#include <ctime>

#include "TTables.h"
#include "ATables.h"
#include "getSentence.h"
#include "defs.h"
#include "model2.h"
#include "Perplexity.h"
#include "vocab.h"
#include "WordClasses.h"
#include "HMMTables.h"
#include "ForwardBackward.h"
#include "ttableDiff.hpp"

class hmm : public model2
{
public:
  WordClasses& ewordclasses;
  WordClasses& fwordclasses;
public:
  HMMTables<int,WordClasses> counts,probs;
public:
  template<class MAPPER>
  void makeWordClasses(const MAPPER&m1,const MAPPER&m2,string efile,string ffile) {
    ifstream estrm(efile.c_str()),fstrm(ffile.c_str());
    if( !estrm ) {
      cerr << "ERROR: can not read " << efile << endl;
    } else
      ewordclasses.read(estrm,m1,Elist);
    if( !fstrm )
      cerr << "ERROR: can not read " << ffile << endl;
    else
      fwordclasses.read(fstrm,m2,Flist);
  }
  hmm(model2&m2,WordClasses &e, WordClasses& f);
  void initialize_table_uniformly(sentenceHandler&);
  int em_with_tricks(int iterations, bool dumpCount = false,
                     const char* dumpCountName = NULL, bool useString = false,bool resume=false);
  CTTableDiff<COUNT,PROB>* em_one_step(int it);
  // void em_one_step_2(int it,int part);
  void load_table(const char* aname);

  // void em_loop(Perplexity& perp, sentenceHandler& sHandler1, bool dump_files,
  //            const char* alignfile, Perplexity&, bool test,bool doInit,int iter);
  /* CTTableDiff<COUNT,PROB>* em_loop_1(Perplexity& perp, sentenceHandler& sHandler1, bool dump_files,
                const char* alignfile, Perplexity&, bool test,bool doInit,int iter);*/
  /* void em_loop_2(    Perplexity& perp, sentenceHandler& sHandler1,
    bool dump_alignment, const char* alignfile, Perplexity& viterbi_perp,
      bool test,bool doInit,int part);*/
  void em_loop(Perplexity& perp, sentenceHandler& sHandler1,
               bool dump_alignment, const char* alignfile, Perplexity& viterbi_perp,
               bool test,bool doInit,int
              );
  void em_thread(int it,string alignfile,bool dump_files,bool resume=false);
  HMMNetwork *makeHMMNetwork(const Vector<WordIndex>& es,const Vector<WordIndex>&fs,bool doInit)const;
  void clearCountTable();
  friend class model3;
};
//int multi_thread_em(int noIter, int noThread, hmm* base);


#endif