FeatureArray.h

/*
 *  FeatureArray.h
 *  met - Minimum Error Training
 *
 *  Created by Nicola Bertoldi on 13/05/08.
 *
 */

#ifndef FEATURE_ARRAY_H
#define FEATURE_ARRAY_H

#define FEATURES_TXT_BEGIN "FEATURES_TXT_BEGIN_0"
#define FEATURES_TXT_END "FEATURES_TXT_END_0"
#define FEATURES_BIN_BEGIN "FEATURES_BIN_BEGIN_0"
#define FEATURES_BIN_END "FEATURES_BIN_END_0"

using namespace std;

#include <limits>
#include <vector>
#include <iostream>
#include <fstream>

#include "Util.h"
#include "FeatureStats.h"

class FeatureArray
{
protected:
	featarray_t array_;
	size_t number_of_features;
	std::string features;
	
private:
	std::string idx; // idx to identify the utterance, it can differ from the index inside the vector
	
public:
	FeatureArray();
	
	~FeatureArray(){};
		
	inline void clear() { array_.clear(); }
	
	inline std::string getIndex(){ return idx; }
	inline void setIndex(const std::string & value){ idx=value; }

	inline FeatureStats&  get(size_t i){ return array_.at(i); }
	inline const FeatureStats&  get(size_t i)const{ return array_.at(i); }
	void add(FeatureStats e){ array_.push_back(e); }

	void merge(FeatureArray& e);

	inline size_t size(){ return array_.size(); }
	inline size_t NumberOfFeatures() const{ return number_of_features; }
	inline void NumberOfFeatures(size_t v){ number_of_features = v; }
	inline std::string Features() const{ return features; }
	inline void Features(const std::string f){ features = f; }
	
	void savetxt(ofstream& outFile);
	void savebin(ofstream& outFile);
	void save(ofstream& outFile, bool bin=false);
	void save(const std::string &file, bool bin=false);
	inline void save(bool bin=false){ save("/dev/stdout",bin); }

	void loadtxt(ifstream& inFile, size_t n);
	void loadbin(ifstream& inFile, size_t n);
	void load(ifstream& inFile);
	void load(const std::string &file);
	
	bool check_consistency();
};


#endif