std::vector<DeformatIndex> ApertiumDeformatter::processFormatRules(const std::string& input) {
PerlStringPiece currentInput(input);
initialInputSize_ = currentInput.size();
std::vector<std::string> regexps = formatSpecification_.formatRulesRegexp();
std::vector<PerlRegExp> res;
std::vector<int> levels = formatSpecification_.getLevels();
const PerlArg *args[levels.size()][FormatSpecification::MAX_RULES_PER_LEVEL];
std::string matches[levels.size()][FormatSpecification::MAX_RULES_PER_LEVEL];
for (unsigned int i = 0; i < levels.size(); i++) {
res.push_back(PerlRegExp(regexps[i], pcrecpp::UTF8()));
for (int j = 0; j < levels[i]; j++) {
args[i][j] = new PerlArg(&matches[i][j]);
}
}
std::vector<DeformatIndex> deformatIndexes;
unsigned int rulesCounter = 0;
while (PerlRegExp::FindAndConsumeN(¤tInput, res[0], args[0], levels[0])) {
unsigned int lvl = 0;
std::string text = matches[0][levels[lvl] - 1];
while (!text.empty() && (lvl + 1) < levels.size()) {
lvl++;
PerlRegExp::FullMatchN(text, res[lvl], args[lvl], levels[lvl]);
text = matches[lvl][levels[lvl] - 1];
}
PerlRegExp::FullMatchN(text, res[lvl], args[lvl], levels[lvl]);
for (int i = 0; i < levels[lvl]; i++) {
if (!matches[lvl][i].empty()) {
int ruleNr = lvl * FormatSpecification::MAX_RULES_PER_LEVEL + i - lvl;
deformatIndexes.push_back(DeformatIndex(
getMatchedStringIndexes_(currentInput, matches[lvl][i]),
formatSpecification_.getFormatRule(ruleNr).getType(),
formatSpecification_.getFormatRule(ruleNr).getEos()
));
DEBUG("rule " << ruleNr << " found " << matches[lvl][i]);
rulesCounter++;
}
}
}
if (rulesCounter == 0) {
throw ApertiumException("no rule applied to input data - try to specify input file "
"format directly with `--format` option");
}
return deformatIndexes;
}
/*!
\fn void VideoDevicePool::fillStandardKComboBox( KComboBox *combobox )
\param combobox Pointer to a KComboBox object
\brief Fills a combobox with the names of the available signal standards for the currently selected device
*/
void VideoDevicePool::fillStandardQComboBox(QComboBox *combobox)
{
qDebug() << "Called.";
if (combobox == NULL)
return;
combobox->clear();
if ((m_current_device >= 0) && (m_current_device < m_videodevices.size()))
{
if (m_videodevices[m_current_device]->inputs() > 0)
{
for (unsigned int loop = 0; loop < 25; loop++)
{
if (m_videodevices[m_current_device]->m_input[currentInput()].m_standards & (1 << loop))
{
combobox->addItem(m_videodevices[m_current_device]->signalStandardName(1 << loop));
qDebug() << "Added signal standard" << loop << ": " << m_videodevices[m_current_device]->signalStandardName(1 << loop);
}
}
combobox->setCurrentIndex(0); // FIXME: set to actual signal standard
}
}
combobox->setEnabled(combobox->count());
}
/** Extract all training pairs from an SGF file using the given
SGFReader object and add them to the given NNDatabase.
@params sgf An SGFReader object to use to read the file it
represents.
@params database The NNDatabase to store the training pairs in. */
void Urgency3BPNGoTrainer::extractTrainingPairs(SGFReader* sgf, NNDatabase* database,
int movesFrom /*=0*/, int movesTo /*=0*/, int lookahead /*=0*/, bool quiet /*=false*/) const
{
// at each step in sgf file, score current move with current urgency net
// then score next move of same colour
// if first move doesn't score at least 0.2 higher than second
// add as training pairs:
// 1. First move output should be second move score +0.2 (0.9 max)
// 2. Second move output should be first move score -0.2 (0.1 min)
LogWriter log;
string message;
//char buffer[50];
if(movesFrom > movesTo)
{
log.println("Start move is greater than end move.");
return;
}
vector<Move> moves;
sgf->getTree().getAllPrimaryMoves(moves);
if(moves.size()==0)
return;
// if file already in the database skip it
if(!database->addSignature(sgf->getSignature()))
{
log.println("File already in database.");
return;
}
int size = 19;
string v;
if(sgf->getBoardSize(v))
size = atoi(v.c_str());
if(size>19 || size<5)
{
message = "Boardsize too small or large to handle: ";
message+=v;
log.println(message);
return;
}
BoardStruct board(size);
vector<Move> futureMoves;
int moveNumber=0;
string c;
Matrix<float> currentInput(1, goAdapter->getBPN().getWeights()[0].getHeight());
Matrix<float> nextInput(1, goAdapter->getBPN().getWeights()[0].getHeight());
Matrix<float> output(1, 1);
Matrix<float>* answers;
// vector<Matrix<float> > temp(goAdapter->getBPN().getNumberOfLayers());
vector<vector<float> > tv;
tv.resize(1);
tv[0].resize(1);
// colour of new move
int colour;
//sgf->initBoard(board);
board.clear();
// add setup points
setupBoardFromSGF(*sgf, board);
/* vector<Move> props;
if(sgf->getRootNode()->getEmptySetup(props))
{
for(int i=0;i<props.size();i++)
board.setPoint(props[i].getX(), props[i].getY(), EMPTY, false);
}
if(sgf->getRootNode()->getBlackSetup(props))
{
for(int i=0;i<props.size();i++)
board.setPoint(props[i].getX(), props[i].getY(), BLACK, false);
}
if(sgf->getRootNode()->getWhiteSetup(props))
{
for(int i=0;i<props.size();i++)
board.setPoint(props[i].getX(), props[i].getY(), WHITE, false);
} */
SGFNode* nextNode = &(sgf->getRootNode());
bool useThisMove = true;
bool currentIsMoveA = true;
bool getInputSuccess = false;
// continue until a null node forces the loop to break
while (true) {
// check bounds if necessary
if(movesTo!=0) {
// use ply instead of individual moves
if(moveNumber/2 >= movesTo) break;
else if(moveNumber/2 < movesFrom) useThisMove = false;
else useThisMove = true;
}
if(movesTo==0 || useThisMove) {
nextNode = nextNode->getChild();
if(nextNode==NULL)
break;
// determine colour of move
vector<string> vs;
if (nextNode->getProperty(SGFProperty::blackMoveTag, vs)) {
colour = BLACK;
c = vs[0];
}
else if (nextNode->getProperty(SGFProperty::whiteMoveTag, vs)) {
colour = WHITE;
c = vs[0];
}
else break;
// find our next move to compare with
// check
futureMoves.clear();
// NOTE: The first move returned by getLookaheadMoves() is
// always the current one, so we need 2 lookahead moves
nextNode->getLookaheadMoves(2, colour, futureMoves);
if(futureMoves.size()==2 && Move::SGFToX(c)!=-1 && Move::SGFToY(c)!=-1
&& futureMoves[1].getX()!=-1 && futureMoves[1].getY()!=-1) {
// At each step in sgf file, score current move with current urgency net
// then score next move of same colour
// if first move doesn't score at least 0.2 higher than second
// add as training pairs:
// 1. First move output should be second move score +0.2 (0.9 max)
// 2. Second move output should be first move score -0.2 (0.1 min)
// get current move score
goAdapter->getInput(Move::SGFToX(c), Move::SGFToY(c), board, currentInput, colour);
goAdapter->getBPN().getAnswer(currentInput);
answers = &(goAdapter->getBPN().getOutputs()[goAdapter->getBPN().getNumberOfLayers()-1]);
float currentMoveScore = answers->getValue(0, 0);
// get next move score
goAdapter->getInput(futureMoves[1].getX(), futureMoves[1].getY(), board, nextInput, colour);
goAdapter->getBPN().getAnswer(nextInput);
answers = &(goAdapter->getBPN().getOutputs()[goAdapter->getBPN().getNumberOfLayers()-1]);
float nextMoveScore = answers->getValue(0, 0);
// if current scores higher than next move by 0.2
// don't train otherwise do train
if(currentMoveScore<=(nextMoveScore+0.2)) {
if((nextMoveScore+0.2)>0.9)
tv[0][0] = 0.9f;
else
tv[0][0] = nextMoveScore+0.2;
output.setValues(tv);
database->addTrainingPair(¤tInput, &output);
if((currentMoveScore-0.2)<0.1)
tv[0][0] = 0.1f;
else
tv[0][0] = currentMoveScore-0.2;
output.setValues(tv);
database->addTrainingPair(&nextInput, &output);
}
}
} // end if(movesTo==0 || useThisMove)
board.setPoint(Move::SGFToX(c), Move::SGFToY(c), colour);
if(!quiet)
log.print(".");
moveNumber++;
// save after every board position has been
// analysed and moves extracted
// database.save();
} // end while(true)
if(!quiet)
log.print("\n");
//database.save();
} // end extractTrainingPairs
