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// PPMPYLanguageModel.cpp
//
// Mandarin character - py prediction by a extension in PPM (subtrees attached to Symbol nodes)
//
// Started from a replicate of PPMLanguageModel
//
/////////////////////////////////////////////////////////////////////////////
//
// Copyright (c) 1999-2005 David Ward
//
/////////////////////////////////////////////////////////////////////////////
#include "../../Common/Common.h"
#include "PPMPYLanguageModel.h"
#include "LanguageModel.h"
#include <math.h>
#include <stack>
#include <sstream>
#include <iostream>
using namespace Dasher;
using namespace std;
// Track memory leaks on Windows to the line that new'd the memory
#ifdef _WIN32
#ifdef _DEBUG
#define DEBUG_NEW new( _NORMAL_BLOCK, THIS_FILE, __LINE__ )
#define new DEBUG_NEW
#undef THIS_FILE
static char THIS_FILE[] = __FILE__;
#endif
#endif
/////////////////////////////////////////////////////////////////////
CPPMPYLanguageModel::CPPMPYLanguageModel(CSettingsUser *pCreator, int iNumCHsyms, int iNumPYsyms)
:CAbstractPPM(pCreator, iNumCHsyms, new CPPMPYnode(-1), 2), NodesAllocated(0), m_NodeAlloc(8192), m_iNumPYsyms(iNumPYsyms) {
}
/////////////////////////////////////////////////////////////////////
// Get the probability distribution at the context
//ACL This is Will's original GetProbs() method - AFAICT unused, as the only
// potential call site tested for MandarinDasher and if so explicitly called
// the old GetPYProbs instead (!)...so have renamed latter to Get Probs instead...
/*void CPPMPYLanguageModel::GetProbs(Context context, std::vector<unsigned int> &probs, int norm, int iUniform) const {
const CPPMPYContext *ppmcontext = (const CPPMPYContext *)(context);
// DASHER_ASSERT(m_setContexts.count(ppmcontext) > 0);
// std::cout<<"size of context set "<<m_setContexts.size()<<std::endl;
int iNumSymbols = GetSize();
probs.resize(iNumSymbols);
std::vector < bool > exclusions(iNumSymbols);
unsigned int iToSpend = norm;
unsigned int iUniformLeft = iUniform;
// TODO: Sort out zero symbol case
probs[0] = 0;
exclusions[0] = false;
int i;
for(i = 1; i < iNumSymbols; i++) {
probs[i] = iUniformLeft / (iNumSymbols - i);
iUniformLeft -= probs[i];
iToSpend -= probs[i];
exclusions[i] = false;
}
DASHER_ASSERT(iUniformLeft == 0);
// bool doExclusion = GetLongParameter( LP_LM_ALPHA );
bool doExclusion = 0; //FIXME
int alpha = GetLongParameter( LP_LM_ALPHA );
int beta = GetLongParameter( LP_LM_BETA );
CPPMPYnode *pTemp = ppmcontext->head;
while(pTemp != 0) {
int iTotal = 0;
CPPMPYnode *pSymbol;
for(i =0; i<DIVISION; i++){
// std::cout<<"I "<<i<<std::endl;
pSymbol = pTemp->child[i];
//std::cout<<"Symbols "<<pSymbol->symbol<<std::endl;
while(pSymbol) {
int sym = pSymbol->symbol;
if(!(exclusions[sym] && doExclusion))
iTotal += pSymbol->count;
pSymbol = pSymbol->next;
}
}
if(iTotal) {
unsigned int size_of_slice = iToSpend;
for(i=0; i<DIVISION; i++){
pSymbol = pTemp->child[i];
while(pSymbol) {
if(!(exclusions[pSymbol->symbol] && doExclusion)) {
exclusions[pSymbol->symbol] = 1;
unsigned int p = static_cast < myint > (size_of_slice) * (100 * pSymbol->count - beta) / (100 * iTotal + alpha);
if((pSymbol->symbol>-1)&&(pSymbol->symbol<GetSize())){
probs[pSymbol->symbol] += p;
iToSpend -= p;
}
}
// Usprintf(debug,TEXT("sym %u counts %d p %u tospend %u \n"),sym,s->count,p,tospend);
// DebugOutput(debug);
pSymbol = pSymbol->next;
}
}
}
pTemp = pTemp->vine;
}
unsigned int size_of_slice = iToSpend;
int symbolsleft = 0;
for(i = 1; i < iNumSymbols; i++)
if(!(exclusions[i] && doExclusion))
symbolsleft++;
// std::ostringstream str;
// for (sym=0;sym<modelchars;sym++)
// str << probs[sym] << " ";
// str << std::endl;
// DASHER_TRACEOUTPUT("probs %s",str.str().c_str());
// std::ostringstream str2;
// for (sym=0;sym<modelchars;sym++)
// str2 << valid[sym] << " ";
// str2 << std::endl;
// DASHER_TRACEOUTPUT("valid %s",str2.str().c_str());
for(i = 1; i < iNumSymbols; i++) {
if(!(exclusions[i] && doExclusion)) {
unsigned int p = size_of_slice / symbolsleft;
probs[i] += p;
iToSpend -= p;
}
}
int iLeft = iNumSymbols-1;
for(int j = 1; j < iNumSymbols; ++j) {
unsigned int p = iToSpend / iLeft;
probs[j] += p;
--iLeft;
iToSpend -= p;
}
DASHER_ASSERT(iToSpend == 0);
}*/
void CPPMPYLanguageModel::GetPartProbs(Context context, std::vector<pair<symbol, unsigned int> > &vChildren, int norm, int iUniform){
DASHER_ASSERT(!vChildren.empty());
if(vChildren.size() == 1){
vChildren[0].second = norm;
return;
}
// std::cout<<"Norms is "<<norm<<std::endl;
// std::cout<<"iUniform is "<<iUniform<<std::endl;
const CPPMContext *ppmcontext = (const CPPMContext *)(context);
// DASHER_ASSERT(m_setContexts.count(ppmcontext) > 0);
// std::cout<<"size of context set "<<m_setContexts.size()<<std::endl;
// probs.resize(iNumSymbols);
unsigned int iToSpend = norm;
unsigned int iUniformLeft = iUniform;
// TODO: Sort out zero symbol case
//Reproduce iterative calculations with SCENode trie
//ACL following loop distributes the part of the probability mass assigned the uniform distribution.
// In Will's code, it assigned 0 to the first entry, then split evenly among the rest...seems wrong?!
int i=0;
for (std::vector<pair<symbol, unsigned int> >::iterator it = vChildren.begin(); it!=vChildren.end(); it++) {
DASHER_ASSERT(it->first > 0 && it->first < GetSize()); //i.e., is valid CH symbol
it->second = iUniformLeft / (vChildren.size() - i);
// std::cout<<"iUniformLeft: "<<iUniformLeft<<std::endl;
iUniformLeft -= it->second;
iToSpend -= it->second;
i++;
}
DASHER_ASSERT(iUniformLeft == 0);
int alpha = GetLongParameter( LP_LM_ALPHA );
int beta = GetLongParameter( LP_LM_BETA );
int *vCounts=new int[vChildren.size()]; //num occurrences of symbol at same index in vChildren
//new code
for (CPPMnode *pTemp = ppmcontext->head; pTemp; pTemp=pTemp->vine) {
int iTotal=0, i=0;
for (std::vector<pair<symbol, unsigned int> >::const_iterator it = vChildren.begin(); it!=vChildren.end(); it++,i++) {
if (CPPMnode *pFound = pTemp->find_symbol(it->first)) {
iTotal += vCounts[i] = pFound->count; //double assignment
} else
vCounts[i] = 0;
}
// std::cout<<"after lan mod firs tloop"<<std::endl;
if(iTotal){
unsigned int size_of_slice = iToSpend;
int i=0;
for (vector<pair<symbol, unsigned int> >::iterator it = vChildren.begin(); it!=vChildren.end(); it++,i++) {
if(vCounts[i]) {
unsigned int p = static_cast < myint > (size_of_slice) * (100 * vCounts[i] - beta) / (100 * iTotal + alpha);
it->second += p;
iToSpend -= p;
}
}
}
}
delete vCounts;
//code
//std::cout<<"after lan mod second loop"<<std::endl;
// std::ostringstream str;
// for (sym=0;sym<modelchars;sym++)
// str << probs[sym] << " ";
// str << std::endl;
// DASHER_TRACEOUTPUT("probs %s",str.str().c_str());
// std::ostringstream str2;
// for (sym=0;sym<modelchars;sym++)
// str2 << valid[sym] << " ";
// str2 << std::endl;
// DASHER_TRACEOUTPUT("valid %s",str2.str().c_str());
//std::cout<<"after lan mod third loop"<<std::endl;
//allow for rounding error by distributing the leftovers evenly amongst all elements...
// (ACL: previous code assigned nothing to element. Why? - I'm guessing due to confusion
// with other LM code where the first element of the probability array was a dummy,
// storing 0 probability mass assigned to the 'root symbol' - not the case here!)
unsigned int p = iToSpend / vChildren.size();
for (std::vector<pair<symbol, unsigned int> >::iterator it = vChildren.begin(); it!=vChildren.end(); it++) {
it->second += p;
iToSpend -= p;
}
// std::cout<<"after lan mod fourth loop"<<std::endl;
int iLeft = vChildren.size()-1;
// std::cout<<"iNumsyjbols "<<vChildren.size()<<std::endl;
for (std::vector<pair<symbol, unsigned int> >::iterator it = vChildren.begin()+1; it!=vChildren.end(); it++) {
// std::cout<<"iLeft "<<iLeft<<std::endl;
// std::cout<<"iToSpend "<<iToSpend<<std::endl;
unsigned int p = iToSpend / iLeft;
it->second += p;
--iLeft;
iToSpend -= p;
}
//std::cout<<"after lan mod fifth loop"<<std::endl;
DASHER_ASSERT(iToSpend == 0);
//std::cout<<"after lan mod assert?"<<std::endl;
}
//ACL this was Will's original "GetPYProbs" method - explicitly called instead of GetProbs
// by an explicit cast to PPMPYLanguageModel whenever MandarinDasher was activated. Renaming
// to GetProbs causes the normal (virtual) call to come straight here without any special-casing...
void CPPMPYLanguageModel::GetProbs(Context context, std::vector<unsigned int> &probs, int norm, int iUniform) const {
const CPPMContext *ppmcontext = (const CPPMContext *)(context);
// std::cout<<"PPMCONTEXT symbol: "<<ppmcontext->head->symbol<<std::endl;
/*
CPPMPYnode * pNode = m_pRoot->child;
while(pNode){
std::cout<<"Next Symbol: "<<pNode->symbol<<" ";
pNode = pNode->next;
}
std::cout<<" "<<std::endl;
*/
// DASHER_ASSERT(m_setContexts.count(ppmcontext) > 0);
int iNumSymbols = m_iNumPYsyms+1;
probs.resize(iNumSymbols);
std::vector < bool > exclusions(iNumSymbols);
unsigned int iToSpend = norm;
unsigned int iUniformLeft = iUniform;
// TODO: Sort out zero symbol case
probs[0] = 0;
exclusions[0] = false;
int i;
for(i = 1; i < iNumSymbols; i++) {
probs[i] = iUniformLeft / (iNumSymbols - i);
iUniformLeft -= probs[i];
iToSpend -= probs[i];
exclusions[i] = false;
}
DASHER_ASSERT(iUniformLeft == 0);
// bool doExclusion = GetLongParameter( LP_LM_ALPHA );
bool doExclusion = 0; //FIXME
int alpha = GetLongParameter( LP_LM_ALPHA );
int beta = GetLongParameter( LP_LM_BETA );
for (CPPMnode *pTemp = ppmcontext->head; pTemp; pTemp = pTemp->vine) {
int iTotal = 0;
const map<symbol, unsigned short int> &pychild( static_cast<CPPMPYnode *>(pTemp)->pychild);
for (map<symbol, unsigned short int>::const_iterator it=pychild.begin(); it!=pychild.end(); it++) {
if(!(exclusions[it->first] && doExclusion))
iTotal += it->second;
}
if(iTotal) {
unsigned int size_of_slice = iToSpend;
for (map<symbol, unsigned short int>::const_iterator it = pychild.begin(); it!=pychild.end(); it++) {
if(!(exclusions[it->first] && doExclusion)) {
exclusions[it->first] = 1;
unsigned int p = static_cast < myint > (size_of_slice) * (100 * it->second - beta) / (100 * iTotal + alpha);
probs[it->first] += p;
iToSpend -= p;
}
// Usprintf(debug,TEXT("sym %u counts %d p %u tospend %u \n"),sym,s->count,p,tospend);
// DebugOutput( debug);
}
}
}
unsigned int size_of_slice = iToSpend;
int symbolsleft = 0;
for(i = 1; i < iNumSymbols; i++)
if(!(exclusions[i] && doExclusion))
symbolsleft++;
// std::ostringstream str;
// for (sym=0;sym<modelchars;sym++)
// str << probs[sym] << " ";
// str << std::endl;
// DASHER_TRACEOUTPUT("probs %s",str.str().c_str());
// std::ostringstream str2;
// for (sym=0;sym<modelchars;sym++)
// str2 << valid[sym] << " ";
// str2 << std::endl;
// DASHER_TRACEOUTPUT("valid %s",str2.str().c_str());
for(i = 1; i < iNumSymbols; i++) {
if(!(exclusions[i] && doExclusion)) {
unsigned int p = size_of_slice / symbolsleft;
probs[i] += p;
iToSpend -= p;
}
}
int iLeft = iNumSymbols-1;
for(int j = 1; j < iNumSymbols; ++j) {
unsigned int p = iToSpend / iLeft;
probs[j] += p;
--iLeft;
iToSpend -= p;
}
DASHER_ASSERT(iToSpend == 0);
}
/////////////////////////////////////////////////////////////////////
//Do _not_ move on the context...
void CPPMPYLanguageModel::LearnPYSymbol(Context c, int pysym) {
// Ignore attempts to add the root symbol
if(pysym==0)
return;
DASHER_ASSERT(pysym > 0 && pysym <= m_iNumPYsyms);
CPPMPYLanguageModel::CPPMContext & context = *(CPPMContext *) (c);
// std::cout<<"py learn context : "<<context.head->symbol<<std::endl;
/* CPPMPYnode * pNode = m_pRoot->child;
while(pNode){
std::cout<<"Next Symbol: "<<pNode->symbol<<" ";
pNode = pNode->next;
}
std::cout<<" "<<std::endl;
*/
for (CPPMnode *pNode = context.head; pNode; pNode=pNode->vine) {
if (static_cast<CPPMPYnode *>(pNode)->pychild[pysym]++) {
//count non-zero before increment, i.e. sym already present
if (bUpdateExclusion) break;
}
}
//no context order increase
//context.order++;
}
CPPMPYLanguageModel::CPPMPYnode *CPPMPYLanguageModel::makeNode(int sym) {
CPPMPYnode *res = m_NodeAlloc.Alloc();
res->sym=sym;
++NodesAllocated;
return res;
}
//Mandarin - PY not enabled for these read-write functions
bool CPPMPYLanguageModel::WriteToFile(std::string strFilename) {
return false;
}
//Mandarin - PY not enabled for these read-write functions
bool CPPMPYLanguageModel::ReadFromFile(std::string strFilename) {
return false;
}
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