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tools/sctk-2.4.10/src/asclite/core/arraylevenshteinmatrix.cpp 3.11 KB
8dcb6dfcb   Yannick Estève   first commit
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  /*
   * ASCLITE
   * Author: Jerome Ajot, Jon Fiscus, Nicolas Radde, Chris Laprun
   *
   * This software was developed at the National Institute of Standards and Technology by 
   * employees of the Federal Government in the course of their official duties. Pursuant
   * to title 17 Section 105 of the United States Code this software is not subject to
   * copyright protection and is in the public domain. ASCLITE is an experimental system.
   * NIST assumes no responsibility whatsoever for its use by other parties, and makes no
   * guarantees, expressed or implied, about its quality, reliability, or any other
   * characteristic. We would appreciate acknowledgement if the software is used.
   *
   * THIS SOFTWARE IS PROVIDED "AS IS."  With regard to this software, NIST MAKES NO EXPRESS
   * OR IMPLIED WARRANTY AS TO ANY MATTER WHATSOEVER, INCLUDING MERCHANTABILITY,
   * OR FITNESS FOR A PARTICULAR PURPOSE.
   */
   
  /**
   * Represent the Levenshtein Distance Matrix
   */
  	
  #include "arraylevenshteinmatrix.h"
  
  Logger* ArrayLevenshteinMatrix::m_pLogger = Logger::getLogger(); 
  
  ArrayLevenshteinMatrix::ArrayLevenshteinMatrix(const size_t& _NbrDimensions, size_t* _TabDimensionDeep)
  	: m_NbrDimensions(_NbrDimensions)
  {
  //	m_NbrDimensions = _NbrDimensions;
  	m_MultiplicatorDimension = new size_t[m_NbrDimensions];
  	
  	m_MultiplicatorDimension[0] = 1;
  	m_MaxSize = _TabDimensionDeep[0] - 1;
  		
  	for(size_t i=1; i<m_NbrDimensions; ++i)
  	{
  		m_MultiplicatorDimension[i] = m_MultiplicatorDimension[i-1]*(_TabDimensionDeep[i-1] - 1);
  		m_MaxSize = m_MaxSize * (_TabDimensionDeep[i] - 1);
  	}
          
      char buffer[BUFFER_SIZE];
      sprintf(buffer, "ArrayLevenshteinMatrix: %lu cells", static_cast<ulint>(m_MaxSize) );
  	LOG_DEBUG(m_pLogger, buffer);
      
      m_TabCost = new int[m_MaxSize];
      
      for(size_t i=0; i<m_MaxSize; ++i)
          m_TabCost[i] = C_UNCALCULATED;
  		
  	m_SizeOfArray = 0;
  	
      LOG_DEBUG(m_pLogger, "Allocation done!");
  }
  
  ArrayLevenshteinMatrix::~ArrayLevenshteinMatrix()
  {
  	char buffer[BUFFER_SIZE];
  	sprintf(buffer, "Array Levenshtein Matrix: Total Size: %lu, Calculated: %lu", static_cast<ulint>(m_MaxSize), static_cast<ulint>(m_SizeOfArray) );	   
  	LOG_DEBUG(m_pLogger, buffer);
  	
      delete [] m_TabCost;
  	delete [] m_MultiplicatorDimension;
  }
  
  void ArrayLevenshteinMatrix::SetCostFor(size_t* coordinates, const int& cost)
  {
  	size_t coord = CoordinatesToSize(coordinates);
  	
  	if(m_TabCost[coord] == C_UNCALCULATED)
  		++m_SizeOfArray;
  	
  	m_TabCost[coord] = cost;
  }
  
  string ArrayLevenshteinMatrix::ToString()
  {
  	std::ostringstream oss;
  	
  	oss << "----------------" << endl;
  	
  	for(size_t j=0; j<m_MaxSize; ++j)
  		oss << j << " : " << m_TabCost[j] << endl;
  	
  	oss << "----------------" << endl;
  	
  	return oss.str();
  }
  
  size_t ArrayLevenshteinMatrix::CoordinatesToSize(size_t* coordinates) 
  {
  	size_t outSize = 0;
  	
  	for(size_t i=0; i<m_NbrDimensions; ++i)
  		outSize += m_MultiplicatorDimension[i]*coordinates[i];
  			
  	if(outSize >= m_MaxSize)
  	{
  		char buffer[BUFFER_SIZE];		
  		sprintf(buffer, "Try to access data too far %lu (size matrix %lu)", static_cast<ulint>(outSize), static_cast<ulint>(m_MaxSize) );
  		LOG_FATAL(m_pLogger, buffer);
  		exit(E_INVALID);
  	}
  	
  	return outSize;
  }