void ResourcesSynchronizationLibrary::readFromFile( std::ifstream& file )
{
LOCK
CommandsFileParser fileParser( unpackingDirPath_ );
CommandPtr command;
while( ( command = fileParser.readNextCommand( file ) ) != nullptr ){
processCommand( *command );
}
}
Mesh::Mesh(string filename)
{
checksum = false;
status_msg = "";
if (filename == "random" || filename == "random extrude" || filename == "random surfrev") {
checksum = true;
status_msg = "Success!";
randomMesh(filename);
generateMesh();
}
else if (fileParser(filename)) {
checksum = true;
status_msg = "Success!";
generateMesh();
}
}
/**
Parses the configuration file buffer, reading each SQL statement
and processing it.
@param aBuffer Buffer containing the configuration file contents
@param aDbName Logical database name: "main" for the main database or attached database name
@leave KErrNoMemory, if an out of memory condition occurs
*/
void TSqlDbSysSettings::ParseFileL(const TDesC& aBuffer, const TDesC& aDbName)
{
TLex fileParser(aBuffer);
//While not end of file
while (!fileParser.Eos())
{
//Get the next of the SQL statements, which are seperated by semicolons
fileParser.SkipSpaceAndMark(); // skip any preceding whitespace before the next statement
while ((!fileParser.Eos()) && (fileParser.Peek() != ';'))
{
fileParser.Inc(); // continue to next character
}
TPtrC stmt = fileParser.MarkedToken(); // extract the marked token
fileParser.Inc(); // to skip the terminating ';' for next iteration
//Process this statement
ProcessStatementL(stmt, aDbName);
}
}
void ResourcesSynchronizationLibrary::saveToFile( std::ofstream& file ) const
{
LOCK
CommandsFileParser fileParser( unpackingDirPath_ );
// First pass: write creation commands to file.
for( const auto& resourceSyncDataPair : resourcesSyncData_ ){
if( resourceSyncDataPair.second->getCreationCommand() != nullptr ){
fileParser.writeCommand( *( resourceSyncDataPair.second->getCreationCommand() ),
file );
}
}
// Second pass: write update commands to file.
for( const auto& resourceSyncDataPair : resourcesSyncData_ ){
CommandsList updateCommands = resourceSyncDataPair.second->generateUpdateCommands();
for( const auto& command : updateCommands ){
fileParser.writeCommand( *command, file );
}
}
}
/**
* the main progrems - calls the diffrent functions to start the orchestras
* in case of success finding a solution or the best one - will print it
* otherwise will print a message
* @param argc the number of arguments give
* @param argv the char array that hodls the arguments
* return 0
**/
int main(int argc, char* argv[])
{
atexit(cleanFiles);
argumentParser(argc, argv);
int** sudukuTable = NULL;
sudukuTable = fileParser(sudukuTableFile);
unsigned int best = ((gTableSize*(1 + gTableSize)) / 2)*gTableSize;
pNode bestNode = getBest((pNode)sudukuTable, getNodeChildrenSoduku, calculateTableSum,
nodeReleaser, copySudukuTable, best);
if (bestNode != NULL)
{
printSudukuSolution((int**)bestNode, gTableSize);
nodeReleaser(bestNode);
}
else
{
printf("no solution!\n");
}
nodeReleaser(sudukuTable);
return 0;
}
///=====================================================
///
///=====================================================
bool EngineAndrew::Mesh::LoadFromC23File(const std::string& filename, const OpenGLRenderer* renderer){
BinaryFileParser fileParser(filename);
if (fileParser.ReadChar() != 'G') return false; //4-cc
if (fileParser.ReadChar() != 'C') return false;
if (fileParser.ReadChar() != '2') return false;
if (fileParser.ReadChar() != '3') return false;
if (fileParser.ReadChar() != 2) return false; //version
char subtype = fileParser.ReadChar();
if (subtype != 2 && subtype != 4) return false; //subversion
fileParser.ReadString();
m_indeces.clear();
m_vertices.clear();
int numVerts = fileParser.ReadInt();
m_vertices.reserve(numVerts);
Vertex_Anim vert;
for (int i = 0; i < numVerts; ++i){
vert.m_position = fileParser.ReadVec3();
vert.m_color = fileParser.ReadRGBAchars();
vert.m_texCoords = fileParser.ReadVec2();
vert.m_normal = fileParser.ReadVec3();
vert.m_tangent = fileParser.ReadVec3();
vert.m_bitangent = fileParser.ReadVec3();
vert.m_boneIndeces[0] = fileParser.ReadUnsignedChar();
vert.m_boneIndeces[1] = fileParser.ReadUnsignedChar();
vert.m_boneIndeces[2] = fileParser.ReadUnsignedChar();
vert.m_boneIndeces[3] = fileParser.ReadUnsignedChar();
vert.m_boneWeights = fileParser.ReadVec3();
m_vertices.push_back(vert);
}
int numIndeces = fileParser.ReadInt();
if (numIndeces > 0){
m_indeces.reserve(numIndeces);
for (int i = 0; i < numIndeces; ++i){
m_indeces.push_back(fileParser.ReadInt());
}
}
else{
numIndeces = numVerts;
m_indeces.reserve(numIndeces);
for (int i = 0; i < numIndeces; ++i){
m_indeces.push_back(i);
}
}
renderer->GenerateBuffer((GLuint*)&m_vboID);
renderer->SendVertexDataToBuffer(m_vertices.data(), sizeof(Vertex_Anim) * numVerts, m_vboID);
renderer->GenerateBuffer((GLuint*)&m_iboID);
renderer->SendVertexDataToBuffer(m_indeces.data(), sizeof(int) * numIndeces, m_iboID);
m_vaoID = renderer->CreateVAOBasic();
return true;
}
int main()
{
/**
* Seeding part 1443936225
*/
auto seed = time(NULL);
std::cout << "Hello, no seed was defined, so the program will use the default time(NULL) seed." << std::endl <<
"Your seed is : " + std::to_string(seed) << std::endl;
srand(seed);
/**
* File Opening and reading part
*/
std::string fileName = "/home/sergio/Copy/UFMG/Graduacao/2015_2/ComputacaoNatural/TP1/tests/SR_div.txt";
FileParser fileParser(fileName);
fileParser.getNumberOfVariables();
std::vector<std::string> file = fileParser.getVectorOfTextFile();
for (int generation = 0 ; generation < ExecutionParameters::getInstance().getMaxNumberOfGenerations(); generation++)
{
/**
* Individual creation
*/
std::vector<Individual> individualsList;
for (int i = 0; i < ExecutionParameters::getInstance().getMaxNumberOfIndividuals(); i++)
{
Individual individual;
individualsList.push_back(individual);
}
/**
* Evaluation part
*/
ExpressionParser expressionParser; //expressionParser
Individual bestIndividual, worstIndividual;
bool noBestIndividual = true;
std::vector<Individual> updatedIndividualList;
for (Individual individual : individualsList)
{
//std::cout << individual.getGenotype().getMathematicalExpression() << std::endl; debug cout
expressionParser.setExpression(individual.getGenotype().getMathematicalExpression());
for (auto line : file)
{
if (line == "")
continue;
double variableValues[ExecutionParameters::getInstance().getNumberOfVariables()];
double functionValue;
/**
* Transform into a function
*/
std::istringstream lineStream(line);
for (int i = 0; i < ExecutionParameters::getInstance().getNumberOfVariables(); i++)
{
lineStream >> variableValues[i];
expressionParser.defineVars(variableValues[i]);
}
lineStream >> functionValue;
/**
*
*/
double resultForIndividual = expressionParser.parse();
double individualFitnessScore;
//std::cout << "Results for A = " << variableValues[0] << " :\n\tind: " << resultForIndividual << "\nfun: " << functionValue << std::endl; debug cout
if (!std::isnan(resultForIndividual)) //check whether it has a valid result
{
/**
* The fitness score should be calculated here
*/
double differenceOfFunctionValueAndIndividual = std::fabs(resultForIndividual - functionValue);
individualFitnessScore = individual.getFitnessScore() + differenceOfFunctionValueAndIndividual;
individual.setFitnessScore(individualFitnessScore);
}
else
{
individualFitnessScore = std::nan("");
individual.setFitnessScore(
individualFitnessScore); //Setting individuals with invalid score to NaN so they won't appear in the worst individuals
//One case in which we don't want those individuals is for example the function x^x which can happen, and x can take negative values
expressionParser.clearVars();
updatedIndividualList.push_back(individual);
break;
}
expressionParser.clearVars();
}
if (noBestIndividual && std::isfinite(individual.getFitnessScore()))
{
bestIndividual.Copy(individual);
worstIndividual.Copy(individual);
noBestIndividual = false;
}
if (bestIndividual.getFitnessScore() > individual.getFitnessScore() &&
std::isfinite(individual.getFitnessScore()))
bestIndividual.Copy(individual);
if (worstIndividual.getFitnessScore() < individual.getFitnessScore() &&
std::isfinite(individual.getFitnessScore()))
worstIndividual.Copy(individual);
updatedIndividualList.push_back(individual);
}
individualsList.clear();
individualsList = updatedIndividualList;
IndividualsMetrics individualsMetrics(individualsList, 0.0);
std::cout << "#################\n\tGeneration " << generation << std::endl;
std::cout << "The best individual was : " << bestIndividual.getGenotype().getMathematicalExpression() <<
" with a fitness score of : " << bestIndividual.getFitnessScore() << std::endl;
std::cout << "The worst individual was : " << worstIndividual.getGenotype().getMathematicalExpression() <<
" with a fitness score of : " << worstIndividual.getFitnessScore() << std::endl;
std::cout << "The average fitness of this generation was : " << individualsMetrics.getAverageFitness() <<
std::endl;
std::cout << "The number of repeated individuals on this generation was : " <<
individualsMetrics.getRepeatedIndividuals() << std::endl;
std::cout << "There were " << individualsMetrics.getCrossoverIndividualsWithBetterFitnessThanParents() <<
" individuals generated by crossover better than parents" << std::endl;
}
return 0;
}
