bool League::finished() {
//calculate games count
//
int max;
if (clubs.count() %2 == 0)
{
max = ((clubs.count()-1)*2)*(clubs.count() /2);
}
else {
int count = clubs.count() + 1;
max = ((count-1)*2)*(count/2);
}
//смотрим максимальный сыгранный тур
QSqlQuery q;
q.prepare("SELECT COUNT (*) FROM Matches");
if (!q.exec()) {qDebug() << "SQL Error: " + q.lastError().text() + ", query " + q.executedQuery();}
else {qDebug() << "Query done: " + q.executedQuery();}
q.first();
if (max <= q.value(0).toInt()) {
writeResults();
return true;
}
else
return false;
}
void advanced_quit (void)
{
if (!USE_PRIMENET) {
outputLongLine (MANUAL_QUIT);
if (askYesNo ('N')) {
writeResults ("Quitting GIMPS.\n");
//bug - either delete file, or delete all work_units and write the file.
//bug IniDeleteAllLines (WORKTODO_FILE);
stop_workers_for_escape ();
}
} else {
int res;
outputLongLine (PRIMENET_QUIT);
res = askYesNoCancel ('C');
if (res == 0) {
OutputBoth (MAIN_THREAD_NUM, "Quitting GIMPS after current work completes.\n");
IniWriteInt (INI_FILE, "NoMoreWork", 1);
askOK ();
}
if (res == 1) {
OutputBoth (MAIN_THREAD_NUM, "Quitting GIMPS immediately.\n");
spoolMessage (MSG_QUIT_GIMPS, NULL);
askOK ();
}
}
}
int main(int argc, char *argv[])
/* Read snp126. */
/* Write coords of multiple alignments to .tab file. */
/* Write counts to .log file. */
{
if (argc != 2)
usage();
snpDb = argv[1];
hSetDb(snpDb);
outputFileHandle = mustOpen("snpMultiple.tab", "w");
logFileHandle = mustOpen("snpMultiple.log", "w");
readSnps();
writeResults();
// free hashes
carefulClose(&outputFileHandle);
carefulClose(&logFileHandle);
return 0;
}
int main(int argc, char *argv[])
{
if (argc != 4)
usage();
database = argv[1];
hSetDb(database);
snpSimpleTable = argv[2];
if (!hTableExistsDb(database, snpSimpleTable))
errAbort("can't get table %s\n", snpSimpleTable);
orthoTable = argv[3];
if (!hTableExistsDb(database, orthoTable))
errAbort("can't get table %s\n", orthoTable);
outputFileHandle = mustOpen("snpOrthoJoin.tab", "w");
missingFileHandle = mustOpen("snpOrthoJoin.missing", "w");
chimpHash = getOrtho(orthoTable, "panTro2");
macaqueHash = getOrtho(orthoTable, "rheMac2");
writeResults(snpSimpleTable);
carefulClose(&outputFileHandle);
carefulClose(&missingFileHandle);
return 0;
}
int main(int argc, char** argv) {
uint32_t matchAlgorithm = 0;
const char* outputFile = "displacements.result";
const char* imageSequenceFolder = nullptr;
const ImageProc::ImageProc* imProc = new ImageProc::ImageProcBase();
Draw::DrawInterface* drawer = new Draw::Draw();
const Displacement::DisplacementInterface* displacement = new Displacement::DisplacementBase();
InputMethod::InputMethodInterface* inputMethod = nullptr;
OutputMethod::OutputImageSequence* outputMethod = new OutputMethod::OutputImageSequence();
const Descriptor::DescriptorInterface* descriptor = nullptr;
const Match::MatcherInterface* matcher = nullptr;
if (argc > 1) {
imageSequenceFolder = argv[1];
} else {
LOG_ERROR("Image sequence folder not defined");
return -1;
}
if (argc > 2) {
matchAlgorithm = (uint32_t) std::strtoul(argv[2], NULL, 10);
}
if (argc > 3) {
outputFile = argv[3];
}
LOG_INFO("Using %s", getMethodPname(matchAlgorithm));
if (getInputMethod(imageSequenceFolder, &inputMethod) != GBL::RESULT_SUCCESS) {
LOG_ERROR("Could not deduce a valid input method");
return -1;
}
if (getExecutors(matchAlgorithm, &descriptor, &matcher) != GBL::RESULT_SUCCESS) {
LOG_ERROR("Could not get valid descriptor and matcher. Define a valid algorithm to be used.");
return -1;
}
clock_t tStart = clock();
int64_t startTime = GetTimeMs64();
std::vector<GBL::Displacement_t> displacements = findTheBall(imageSequenceFolder, imProc, *drawer, *descriptor, *matcher, *displacement, *inputMethod, *outputMethod);
int64_t endTime = GetTimeMs64();
float_t totalTimeElapsed = (float_t) (clock() - tStart) / CLOCKS_PER_SEC;
LOG(stdout, "TIME", "CPU time of processing stage: %f s", totalTimeElapsed);
LOG(stdout, "TIME", "Execution time of processing stage: %f s", (float_t ) (endTime - startTime) / 1000.0f);
if (writeResults(outputFile, displacements) != GBL::RESULT_SUCCESS) {
LOG_WARNING("Could not write results to file %s", outputFile);
}
delete imProc;
delete descriptor;
delete matcher;
delete displacement;
delete drawer;
delete inputMethod;
return 0;
}
void RunExhaustiveDocsimSearch()
{
const char *topicoutput = Config("RESULTS-PATH");
FILE *fo;
if (topicoutput) {
fo = fopen(topicoutput, "wb");
if (!fo) {
fprintf(stderr, "The results file \"%s\" could not be opened for writing.\n", topicoutput);
exit(1);
}
} else {
fo = stdout;
}
unsigned char *sigFile;
SignatureHeader sigCfg = readSigFile(Config("SIGNATURE-PATH"), &sigFile);
int threadCount = 1;
int searchDocFirst = 0;
int searchDocLast = (sigCfg.num_signatures - 1);
if (Config("THREADS")) {
threadCount = atoi(Config("THREADS"));
}
if (Config("SEARCH-DOC-FIRST"))
searchDocFirst = atoi(Config("SEARCH-DOC-FIRST"));
if (Config("SEARCH-DOC-LAST"))
searchDocLast = atoi(Config("SEARCH-DOC-LAST"));
int totalDocs = searchDocLast - searchDocFirst + 1;
void **threads = malloc(sizeof(void *) * threadCount);
for (int i = 0; i < threadCount; i++) {
WorkerThroughput *threadData = malloc(sizeof(WorkerThroughput));
threadData->sig_cfg = &sigCfg;
threadData->sigFile = sigFile;
threadData->doc_begin = totalDocs * i / threadCount + searchDocFirst;
threadData->doc_end = totalDocs * (i+1) / threadCount + searchDocFirst;
threads[i] = threadData;
}
Timer T = StartTimer();
DivideWork(threads, Throughput_Job, threadCount);
for (int i = 0; i < threadCount; i++) {
WorkerThroughput *thread_data = threads[i];
int doc_count = thread_data->doc_end - thread_data->doc_begin;
for (int j = 0; j < doc_count; j++) {
int topicId = thread_data->doc_begin + j;
const char *docName = (const char *)(sigFile + (size_t)sigCfg.sig_record_size * topicId);
writeResults(fo, topicId, docName, &thread_data->output[j]);
}
}
fprintf(stderr, "search time %.2fms\n", TickTimer(&T));
for (int i = 0; i < threadCount; i++) {
free(threads[i]);
}
free(threads);
}
PrintDialog::PrintDialog(QWidget* a_parent) :
QDialog(a_parent)
{
m_ui.setupUi(this);
connect(m_ui.m_action_print, SIGNAL(triggered()), this, SLOT(sPrint()));
writeResults();
}
int readFromFile (const char *finput, const char *foutput) {
if (!finput) {
printf("Не сте въвели файл за четене\n");
return 0;
}
FILE *input;
// file read vars
char *line = NULL;
size_t len = 0;
ssize_t charactersRead;
// comment vars
const char pattern[3] = "/*";
char *token;
int inComment = 0;
// result vars
int ifCount = 0;
int elseCount = 0;
int linesCount = 0;
input = fopen(finput, "r");
while ((charactersRead = getline(&line, &len, input)) != -1) {
linesCount += 1;
token = strtok(line, pattern);
if (token != NULL) {
printf("inComment: %d Token: %s\n", inComment, token);
printf("Equal: %d\n", strcmp(token, line));
while( token != NULL ) {
if (strcmp(token, line) && searchThroughString(line, "/*")) {
inComment = 1;
break;
} else if (strcmp(token, line) && searchThroughString(line, "*/")) {
inComment = 0;
break;
}
if (!inComment) {
ifCount += searchThroughString(token, "if");
elseCount += searchThroughString(token, "else");
}
token = strtok(NULL, pattern);
if (token != NULL) inComment = !inComment ;
}
}
}
fclose(input);
writeResults(foutput, ifCount, elseCount, linesCount);
return 0;
}
int main(int argc, char *argv[])
/* generate snpOrtho table from snp ortho file */
/* combine with snp table */
{
if (argc != 4)
usage();
hSetDb(argv[1]);
if (!hTableExistsDb(argv[1], argv[2]))
errAbort("can't get table %s\n", argv[2]);
if (!fileExists(argv[3]))
errAbort("can't find %s\n", argv[3]);
orthoHash = getOrtho(argv[3]);
writeResults(argv[2]);
return 0;
}
int readFromStdin (const char *foutput) {
// input read vars
char *line = NULL;
size_t len = 0;
ssize_t charactersRead;
// comment vars
const char pattern[3] = "/*";
char *token;
int inComment = 0;
// result vars
int ifCount = 0;
int elseCount = 0;
int linesCount = 0;
while ((charactersRead = getline(&line, &len, stdin)) != -1) {
linesCount += 1;
token = strtok(line, pattern);
if (token != NULL) {
while( token != NULL ) {
if (strcmp(token, line) && searchThroughString(line, "/*")) {
inComment = 1;
break;
} else if (strcmp(token, line) && searchThroughString(line, "*/")) {
inComment = 0;
break;
}
if (!inComment) {
ifCount += searchThroughString(token, "if");
elseCount += searchThroughString(token, "else");
}
token = strtok(NULL, pattern);
if (token != NULL) inComment = !inComment ;
}
}
}
writeResults(foutput, ifCount, elseCount, linesCount - 1);
return 0;
}
int main(int argc, char *argv[])
{
if (argc != 4)
usage();
database = argv[1];
hSetDb(database);
snpTable = argv[2];
if (!hTableExistsDb(database, snpTable))
errAbort("can't get table %s\n", snpTable);
orthoTable = argv[3];
if (!hTableExistsDb(database, orthoTable))
errAbort("can't get table %s\n", orthoTable);
snpHash = getBaseSnpData(snpTable);
outputFileHandle = mustOpen("snpOrthoLookup.tab", "w");
writeResults(orthoTable);
carefulClose(&outputFileHandle);
return 0;
}
int main() {
int n, a;
Vert vertices;
std::vector<int> distances;
std::vector<int> toConsider;
std::set<std::vector<int>,CompareResults> results;
printf("Liczba wierzcholkow wielokata: \n");
scanf("%d", &n);
createPolygon(n, vertices);
printf("Konfiguracja do zbadania:\n");
for (int i = 0; i < 6; ++i) {
scanf("%d", &a);
distances.push_back(a);
}
transformDistancesToVertex(distances, toConsider);
checkAllPairs(toConsider, vertices, results);
writeResults(results);
}
void Game::startGame()
{
//Demarrer les threads
for(int i = 0; i < nbPlayers_; i++)
players_[i]->startPlayingAsync();
populateGrid(10);
//Condition pour continuer a jouer (genre s'il reste des cases cachees)
while(remaining_ > 0)
loop();
#ifndef NO_OUT
system("cls");
printGrille(*mirroir_);
#endif
writeResults();
//Liberer les joueurs, leur dire de rentrer au vestiaire prendre une douche
for(int i = 0; i < nbPlayers_; i++)
{
//Dabord laisser une chance au thread de se terminer normalement
SetEvent(events_[i]);
}
Sleep(1000); //Donner un delais max pour que les threads se terminent
for(int i = 0; i < nbPlayers_; i++)
{
DWORD result = WaitForSingleObject( players_[i]->getThread(), 0);
// Si le thread est encore actif, le tuer de maniere violente.
if (result != WAIT_OBJECT_0)
players_[i]->stopPlaying();
}
}
int main(int argc, char* argv[])
try {
const auto prm = example::initParam(argc, argv);
const auto cellID = prm.getDefault("cell", 0);
const auto rset = example::identifyResultSet(prm);
const auto init = Opm::ECLInitFileData(rset.initFile());
const auto graph = Opm::ECLGraph::load(rset.gridFile(), init);
auto pvtCC = Opm::ECLPVT::ECLPvtCurveCollection(graph, init);
if (prm.has("unit")) {
pvtCC.setOutputUnits(makeUnits(prm.get<std::string>("unit"), init));
}
const auto x = CellState{ graph, rset, cellID };
auto props = std::vector<Property>{};
for (const auto& prop : enumerateProperties()) {
if (prm.getDefault(prop.first, false)) {
props.push_back(Property{ prop.first, (*prop.second)(pvtCC, x) });
}
}
if (! props.empty()) {
std::cout.precision(16);
std::cout.setf(std::ios_base::scientific);
writeResults(x, props);
}
}
catch (const std::exception& e) {
std::cerr << "Caught Exception: " << e.what() << '\n';
return EXIT_FAILURE;
}
//Execute par le thread principal (controleur)
int main (int argc, char **argv)
{
if (argc != 6)
return EXIT_FAILIURE;
signal(SIGALRM, sigHandler);
std::string pathGrilleVide = argv[1];
std::string pathGrilleSolution = argv[2];
std::string pathArrivee = argv[3];
int tempsMax = atoi(argv[4]);
pathResultat = argv[5];
int grille[9][9];
int solution[9][9];
mainThread = pthread_self();
loadGrid(pathGrilleVide, grille);
// printGrid(grille);
loadGrid(pathGrilleSolution, solution);
// printGrid(solution);
for (int i = 0; i < 5; i++)
{
joueurs[i] == 0;
}
//creaation des thread joueur par defaut
joueurs[0] = new Joueur();
joueurs[1] = new Joueur();
joueurs[2] = new Joueur();
joueurs[0]->thread = new pthread_t();
joueurs[1]->thread = new pthread_t();
joueurs[2]->thread = new pthread_t();
int un=1;
int deux=2;
int trois=3;
pthread_create(joueurs[0]->thread, NULL, jouer, &un);
pthread_create(joueurs[1]->thread, NULL, jouer, &deux);
pthread_create(joueurs[2]->thread, NULL, jouer, &trois);
joueurs[0]->tid = 1;
joueurs[1]->tid = 2;
joueurs[2]->tid = 3;
joueurs[0]->etat = "Inconnu";
joueurs[1]->etat = "Inconnu";
joueurs[2]->etat = "Inconnu";
listeJoueurs.insert(std::pair<int, Joueur*>(joueurs[0]->tid, joueurs[0]));
listeJoueurs.insert(std::pair<int, Joueur*>(joueurs[1]->tid, joueurs[1]));
listeJoueurs.insert(std::pair<int, Joueur*>(joueurs[2]->tid, joueurs[2]));
// Creation des deux autres thread
pthread_t accueil_t;
pthread_t alarm_t;
pthread_create(&accueil_t, NULL, accueil, (void*)pathArrivee.c_str());
pthread_create(&alarm_t, NULL, minuterie, (void*)&tempsMax);
sem_init(&file1_sem, 0, 0);
int* empty = findEmpty(grille);
int col = 0, ln = 0;
do
{
//============================================================
// BOUCLE POUR TROUVER LES ZERO ET LES ENVOYER DANS LA FILE 1
if (empty == 0)
break;
if (pthread_mutex_trylock(&file1_lock) == 0)
{
// std::cout<<"je prend le mutex pour le broadcast"<<std::endl;
if (file1.size() < 4)
{
MessageCJ* msg = new MessageCJ();
msg->colonne = empty[0];
msg->ligne = empty[1];
bool duplicate = false;
std::queue<MessageCJ*> temp;
while(!file1.empty())
{
temp.push(new MessageCJ((*file1.front())));
file1.pop();
}
while(!temp.empty())
{
MessageCJ* tmpMsg = new MessageCJ((*temp.front()));
file1.push(tmpMsg);
temp.pop();
if (tmpMsg->colonne == msg->colonne && tmpMsg->ligne == msg->ligne)
duplicate = true;
}
if (!duplicate)
{
std::list<int> opts = getOptions(grille, msg->colonne, msg->ligne);
msg->choiceList = opts;
file1.push(msg);
pthread_cond_broadcast(&nonEmpty);
// std::cout<<"je broadcast "<<file1.size()<<std::endl;
// sem_post(&file1_sem);
}
delete empty;
col = msg->colonne;
ln = msg->ligne;
}
pthread_mutex_unlock( &file1_lock );
// std::cout<<"je rend le mutex pour le broadcast "<<file2.size()<<std::endl;
}
//==========================
//BOUCLE POUR LIRE LA FILE 2
if(pthread_mutex_trylock(&file2_lock) == 0)
{
if (file2.size() > 0)
{
_MessageJC* msg = new _MessageJC((*file2.front()));
file2.pop();
if (listeJoueurs.find(msg->tid)->second->etat != "Elimine")
{
// std::cout<<"ANS = "<<msg->choice<<" ? "<<solution[msg->colonne][msg->ligne]<<std::endl;
// if (msg->choice == 0)
// std::cout<<"LE CIEL NOUS TOMBE SUR LA TETE PAR TOUTATIS!!!"<<std::endl;
//pthread_cond_broadcast(&nonFullFile2);
if (solution[msg->colonne][msg->ligne] == msg->choice)
{
//If win!
grille[msg->colonne][msg->ligne] = msg->choice;
Joueur* vainqueur = listeJoueurs.find(msg->tid)->second;
vainqueur->score++;
}
else
{
//if noob!
Joueur* looser = listeJoueurs.find(msg->tid)->second;
looser->score--;
looser->nbErreur++;
if (looser->score <= -10)
{
eliminateLooser(&listeJoueurs, msg->tid, joueurs);
std::cout<<"Better luck next time, NOOB! "<<msg->tid<<std::endl;
}
}
}
pthread_mutex_unlock(&file2_lock);
}
else
{
pthread_mutex_unlock(&file2_lock);
sleep(1);
}
}
pthread_mutex_lock(&nouveauJoueurs_lock);
if (nouveauxJoueurs.size() > 0)
{
if (nouveauxJoueurs.front() == 0)
pthread_cancel(accueil_t);
else if (playerCount < 5 )
{
for (int i = 0; i < 5 && playerCount < 5 && nouveauxJoueurs.size() > 0; i++)
{
if (joueurs[i] == 0)
{
int id = nouveauxJoueurs.front();
if (id == 0)
pthread_cancel(accueil_t);
else
{
nouveauxJoueurs.pop();
joueurs[i] = listeJoueurs.find(id)->second;
playerCount++;
joueurs[i]->etat = "Inconnu";
pthread_create(joueurs[i]->thread, NULL, jouer, &joueurs[i]->tid);
}
}
}
}
}
pthread_mutex_unlock(&nouveauJoueurs_lock);
empty = findEmpty(grille, col, ln);
//printGrid(grille);
// std::cout<<std::endl;
} while (empty != 0 && nbJoueurActifs() > 0);
// Si on se rend ici, soit tous les joueurs sont morts, soit on a fini la grille
int max = 0;
for (std::map<int, Joueur*>::iterator it = listeJoueurs.begin(); it != listeJoueurs.end(); it++)
{
if (it->second->etat == "Inconnu")
{
if (it->second->score > max)
max = it->second->score;
}
}
for (std::map<int, Joueur*>::iterator it = listeJoueurs.begin(); it != listeJoueurs.end(); it++)
{
if (it->second->etat == "Inconnu")
{
if (it->second->score == max)
it->second->etat = "Vainqueur";
else
it->second->etat = "Perdant";
}
}
pthread_cancel(accueil_t);
pthread_cancel(alarm_t);
writeResults();
dispose();
return EXIT_SUCCESS;
}
static void master(int nslaves, char* parameterFile)
{
//VARIABLE DECLARATIONS
time_t startTime, computationStartTime, endTime;
int rank, i, j, accel, MAX_ITER, *slave_ldAs, total_ldA, rdA, numLambdas, error;
ISTAinstance_mpi* instance;
float *xvalue, *result, *b, *lambdas, lambdaStart, lambdaFinish, gamma, step, MIN_FUNCDIFF;
char regType, xfilename[MAX_FILENAME_SIZE], bfilename[MAX_FILENAME_SIZE], outfilename[MAX_FILENAME_SIZE];
//START TIMER
startTime = time(NULL);
//GET VALUES FROM PARAMETER FILE
getMasterParams(parameterFile, xfilename, bfilename, outfilename, &rdA,
&numLambdas, &lambdaStart, &lambdaFinish, &gamma, &step, ®Type, &accel,
&MAX_ITER, &MIN_FUNCDIFF);
//STORE EACH SLAVE'S INDIVIDUAL LDA AND CALCULATE TOTAL_LDA
slave_ldAs = (int*)malloc((nslaves+1)*sizeof(int));
int my_ldA = 0;
MPI_Gather(&my_ldA, 1, MPI_INT, slave_ldAs, 1, MPI_INT, 0, MPI_COMM_WORLD);
total_ldA = 0;
for(i=0; i<=nslaves; i++)
total_ldA += slave_ldAs[i];
fprintf(stdout, "TOTAL LDA IS %d\n", total_ldA);
//ALLOCATE MEMORY
xvalue = calloc(rdA+1,sizeof(float));
result = malloc((total_ldA+rdA)*sizeof(float));
b = malloc((total_ldA)*sizeof(float));
lambdas = malloc(numLambdas*sizeof(float));
if(xvalue==NULL || result==NULL || b==NULL || lambdas==NULL)
fprintf(stdout,"Unable to allocate memory!");
//ASSIGN VALUES TO XVALUE AND B
error=1;
if(strcmp(xfilename, "zeros")==0){
//do nothing - calloc already initialized xvalue to 0
}
else
error *= getVector(xvalue, rdA, xfilename);
error *= getVector(b, total_ldA, bfilename);
//CHECK FOR FILEOPEN ERRORS; IF ANY PRESENT END PROGRAM
for(i=1; i<=nslaves; i++)
if(slave_ldAs[i] == -1) error=0;
MPI_Bcast(&error, 1, MPI_INT, 0, MPI_COMM_WORLD);
if(error==0) {
free(result);
free(xvalue);
free(b);
free(lambdas);
return;
}
//PRINT INPUTS
/* fprintf(stdout, "Here's x:\n");
for(i=0; i < rdA; i++)
{
fprintf(stdout, "%f ", xvalue[i]);
}
fprintf(stdout, "\n and here's b:\n");
for(i=0; i < total_ldA; i++)
{
fprintf(stdout, "%f ", b[i]);
}
*/
//CREATE ISTA OBJECT
instance = ISTAinstance_mpi_new(slave_ldAs, total_ldA, rdA, b, lambdaStart, gamma,
accel, regType, xvalue, step,
nslaves, MPI_COMM_WORLD,
TAG_AX, TAG_ATX, TAG_ATAX, TAG_DIE);
//CENTER FEATURES
float* shifts = calloc(rdA, sizeof(float));
MPI_Reduce(shifts, instance->meanShifts, rdA, MPI_FLOAT, MPI_SUM, 0, MPI_COMM_WORLD);
cblas_sscal(rdA, 1.0 / total_ldA, instance->meanShifts, 1);
MPI_Bcast(instance->meanShifts, rdA, MPI_FLOAT, 0, MPI_COMM_WORLD);
//SCALE FEATURES
float* norms = calloc(rdA, sizeof(float));
MPI_Reduce(norms, instance->scalingFactors, rdA, MPI_FLOAT, MPI_SUM, 0, MPI_COMM_WORLD);
for(j=0; j<rdA; j++)
instance->scalingFactors[j] = pow(instance->scalingFactors[j], 0.5);
MPI_Bcast(instance->scalingFactors, rdA, MPI_FLOAT, 0, MPI_COMM_WORLD);
//CREATE LAMBDA PATH
calcLambdas(lambdas, numLambdas, lambdaStart, lambdaFinish, instance);
//DEBUGGING AREA
/*float* ones = calloc(rdA+1, sizeof(float));
for(i=0; i< rdA+1; i++) {
ones[i] = 1.0;
}
fprintf(stdout, "meanshifts: ");
for(i=0; i<5; i++) {
fprintf(stdout, "%f ", instance->meanShifts[i]);
}
fprintf(stdout, "\nscalingFactors: ");
for(i=0; i<5; i++) {
fprintf(stdout, "%f ", instance->scalingFactors[i]);
}
fprintf(stdout, "\nlambdas: ");
for(i=0; i<5; i++) {
fprintf(stdout, "%f ", lambdas[i]);
}
fprintf(stdout, "\nA * ones: ");
multiply_Ax(ones, result, instance);
for(i=0; i<5; i++) {
fprintf(stdout, "%f ", result[i]);
}
fprintf(stdout, "\n");
*/
//TIME UPDATE
computationStartTime = time(NULL);
//RUN ISTA
for(j=0; j < numLambdas; j++) {
instance->lambda = lambdas[j];
ISTAsolve_lite(instance, MAX_ITER, MIN_FUNCDIFF);
fprintf(stdout, "\n");
}
//UNDO RESCALING
for(i=0; i<(instance->rdA); i++) {
if(instance->scalingFactors[i] > 0.0001)
instance->xcurrent[i] = instance->xcurrent[i] / instance->scalingFactors[i];
}
instance->intercept = -1.0 * cblas_sdot(instance->rdA, instance->xcurrent, 1, instance->meanShifts, 1);
//WRITE RESULTS
writeResults(instance, outfilename, bfilename, lambdas[numLambdas-1]);
//STOP TIME
endTime = time(NULL);
fprintf(stdout,"Setup took %f seconds and computation took %f seconds\n",
difftime(computationStartTime, startTime), difftime(endTime, computationStartTime));
//CLOSE THE SLAVE PROCESSES AND FREE MEMORY
fprintf(stdout, "Closing the program\n");
for(rank=1; rank <= nslaves; rank++)
{
MPI_Send(0, 0, MPI_INT, rank, TAG_DIE, MPI_COMM_WORLD);
}
free(result);
ISTAinstance_mpi_free(instance);
free(shifts);
free(norms);
free(lambdas);
return;
}
int main() {
MSS * myResult;
/* initialize random seed: */
srand (time(NULL));
unsigned int sizeOfNum = 512;
std::vector<int> num;
createVector(num, sizeOfNum);
printf("Max Sum Sub-Array Algorithms\n\n");
printf("size = %d\n\n", sizeOfNum);
std::clock_t start;
printf("\n\nBrute Force Max Sum Sub-Array\n\n");
start = std::clock();
bruteMaxSumSub(num, result, sizeOfNum);
std::cout << "Brute Force Time: " << (std::clock() - start) / (double)(CLOCKS_PER_SEC / 1000) << " ms\n";
printf("Result of bruteMaxSumSub, max sum = %d\nSubArray*************\n", result.sum);
for(int i = result.start; i <= result.end; ++i) {
printf("%d\t", num[i]);
}
printf("\n\nImproved Brute Force Max Sum Sub-Array\n\n");
start = std::clock();
betterBruteMaxSum(num, result, sizeOfNum);
std::cout << "Better Brute Force Time: " << (std::clock() - start) / (double)(CLOCKS_PER_SEC / 1000) << " ms\n";
printf("Result of betterBruteMaxSumSub, max sum = %d\nSubArray*************\n", result.sum);
for(int i = result.start; i <= result.end; ++i) {
printf("%d\t", num[i]);
}
printf("\n\nDivide and Conquer Max Sum Sub-Array\n\n");
start = std::clock();
myResult = divideAndConquerMaxSub(num, 0, sizeOfNum - 1);
std::cout << "Divide and Conquer Max Sum Time: " << (std::clock() - start) / (double)(CLOCKS_PER_SEC / 1000) << " ms\n";
printf("Result of divideAndConquerMaxSub, max sum = %d\nSubArray*************\n", myResult->sum);
for(int i = myResult->start; i <= myResult->end; ++i) {
printf("%d\t", num[i]);
}
//clean up
delete myResult;
myResult = NULL;
printf("\n\nLinear Max Sum Sub-Array\n\n");
start = std::clock();
linearMaxSub(num, sizeOfNum, result);
std::cout << "Linear Max Sum Time: " << (std::clock() - start) / (double)(CLOCKS_PER_SEC / 1000) << " ms\n";
printf("Result of linearMaxSub, max sum = %d\nSubArray*************\n", result.sum);
for(int i = result.start; i <= result.end; ++i) {
printf("%d\t", num[i]);
}
std::cout << std::endl << std::endl;
/*********************************************************************************************************************************
**TESTING FILES
**********************************************************************************************************************************/
/* Stream class provided by C++ to read from files
Credit: http://www.cplusplus.com/doc/tutorial/files/*/
std::ifstream textfile;
/* In order to open a file with a stream object we use its member function open */
textfile.open( "MSS_Problems.txt" );
/* To check if a file stream was successful opening a file, you can do it by calling to member is_open
Credit: http://www.cplusplus.com/doc/tutorial/files/*/
if( !textfile.is_open() )
{
textfile.close();
std::cout << "Please add MSS_Problems.txt and try again." << std::endl;
exit(1);
}
/* Stream class to write on files
Credit: http://www.cplusplus.com/doc/tutorial/files/*/
std::ofstream textfile2;
textfile2.open("MSS_Results.txt");
/* vector of vectors to store number set */
std::vector<std::vector<int>> setOfNumbers = getNumbers(textfile);
textfile.close();
/* Label the results file */
textfile2 << " Algorithm 1: Enumeration \n";
std::cout << " Algorithm 1: Enumeration \n" << std::endl;
/* Run enumeration algorithm on input numbers */
for( unsigned int i = 0; i < setOfNumbers.size(); i++ )
{
bruteMaxSumSub(setOfNumbers.at(i), result, setOfNumbers.at(i).size());
int total = result.sum;
int start = result.start;
int end = result.end;
/* Call function to output is to be written to MSS_Results.txt */
std::cout << total << std::endl;
writeResults( textfile2, setOfNumbers.at(i), start, end, total );
}
/* Label the results file */
textfile2 << " Algorithm 2: Better Enumeration \n";
std::cout << " Algorithm 2: Better Enumeration \n" << std::endl;
/* Run better enumeration algorithm on input numbers */
for( unsigned int i = 0; i < setOfNumbers.size(); i++ )
{
betterBruteMaxSum(setOfNumbers.at(i), result, setOfNumbers.at(i).size());
int total = result.sum;
int start = result.start;
int end = result.end;
/* Call function to output is to be written to MSS_Results.txt */
std::cout << total << std::endl;
writeResults( textfile2, setOfNumbers.at(i), start, end, total );
}
/* Label the results file */
textfile2 << " Algorithm 3: Divide and Conquer \n";
std::cout << " Algorithm 3: Divide and Conquer \n" << std::endl;
/* Run divide and conquer algorithm on input numbers */
for( unsigned int i = 0; i < setOfNumbers.size(); i++ )
{
myResult = divideAndConquerMaxSub(setOfNumbers.at(i), 0, setOfNumbers.at(i).size()-1);
int total = myResult->sum;
int start = myResult->start;
int end = myResult->end;
/* Call function to output is to be written to MSS_Results.txt */
std::cout << total << std::endl;
writeResults( textfile2, setOfNumbers.at(i), start, end, total );
//clean up
delete myResult;
myResult = NULL;
}
/* Label the results file */
textfile2 << " Algorithm 4: Linear-time \n";
std::cout << " Algorithm 4: Linear-time \n" << std::endl;
for( unsigned int i = 0; i < setOfNumbers.size(); i++ )
{
linearMaxSub(setOfNumbers.at(i), setOfNumbers.at(i).size(), result);
int total = result.sum;
int start = result.start;
int end = result.end;
/* Call function to output is to be written to MSS_Results.txt */
std::cout << total << std::endl;
writeResults( textfile2, setOfNumbers.at(i), start, end, total );
}
textfile2.close();
//clean up
delete myResult;
myResult = NULL;
return 0;
}
// Point d'entree dans le programme
int main(int argc,char** argv)
{
FILE* transaction_file = fopen(S_LEC,"a+");
fclose(transaction_file);
transaction_file = fopen(S_LEC,"r");
if (transaction_file == NULL) {
fprintf(stderr,"Impossible d'ouvrir le fichier %s\n",S_LEC);
return -1;
}
char line_buffer[256], message[256];
int i, flags;
Connection* connection;
PRIM_PACKET p;
// Recuperation des references au tuyaux
// (respectivement l'ecriture et l'ecoute)
transToNet_pipe = atoi(argv[1]);
netToTrans_pipe = atoi(argv[2]);
// On s'assure que les file descriptors sont en mode 0_NONBLOCK
flags = fcntl(transToNet_pipe,F_GETFL,0);
fcntl(transToNet_pipe,F_SETFL, flags | O_NONBLOCK);
flags = fcntl(netToTrans_pipe,F_GETFL,0);
fcntl(netToTrans_pipe,F_SETFL, flags | O_NONBLOCK);
if (DEBUG) printf("TRANSPORT\nMes fd sont:\n%i,%i\n",netToTrans_pipe,transToNet_pipe);
//ALGO
//--------
//TANT QUE FICHIER_NON_VIDE
//LIRE S_LEC
//REGARDER_TABLE_DE_CONNEXIONS
//SI CONNEXION_EXISTE_PAS
//ENVOYER_CONNECTION_REQ
//ECOUTER_REPONSE
//SI REPONSE_POSITIVE
//CHANGER_ETAT_CONNEXION_TABLE_CONNEXION
//ENVOYER_DATA_REQ
//SINON
//SUPPRIMER_CONNEXION
//FIN SI
//SINON
//ENVOYER_DATA_REQ
//FIN SI
//FIN TANT QUE
//POUR TOUS LES CONNEXION
//SUPPRIMMER_CONNEXION
// Lecture du fichier S_LEC, envoie des requetes et ecoute
// de la reponse.
while(fgets(line_buffer, 256, transaction_file))
{
connection = (Connection*) findConnection(line_buffer[0]);
// La connexion n'existe pas
if (!connection/*==NULL*/) {
// Engager une connexion
connection = (Connection*) add_connection(line_buffer[0],NULL,NULL);
// Creaction d'un paquet contenant la primitive N_CONNECT_req
p.prim = N_CONNECT_req;
// Genere un seed pour une valeur pseudo-aleatoire
// differente par rand()
srand(time(NULL));
p.con_prim_packet.src_addr = (unsigned char) rand(); // Adresses aleatoires pour la source
p.con_prim_packet.dest_addr = (unsigned char) rand(); // et la destination..
p.con_prim_packet.con_number = connection->tcon.con_number;
// Envoie d'un paquet et ecoute de la reponse de ER
writePrimPacketToStdOut(&p,I_AM);
if(sendPacketToInterface(&p,transToNet_pipe) == -1)
return -1;
if (getPacketFromInterface(&p,netToTrans_pipe) == -1)
return -1;
char result[256];
// Action en consequence
switch(p.prim)
{
// CON_PRIM_PACKET reçu => N_CONNECT_conf
case N_CONNECT_conf:
// Ecriture des resutlats dans S_ECR
sprintf(result,"Reception de la primitive N_CONNECT.conf sur la connection %c\n", connection->tcon.con_number);
writeResults(result,S_ECR);
// Confirmation de la connexion
connection->tcon.state = 0x01;
// Construction du paquet de DATA
p.prim = N_DATA_req;
getMessageFromBuffer(line_buffer,message);
strcpy(p.data_prim_packet.transaction,message);
p.data_prim_packet.con_number = connection->tcon.con_number;
// Envoie du paquet a l'ER
writePrimPacketToStdOut(&p,I_AM);
if(sendPacketToInterface(&p,transToNet_pipe) == -1)
return -1;
break;
// REL_PRIM_PACKET reçu => N_DISCONNECT_ind
case N_DISCONNECT_ind:
// Ecriture des resultats dans S_ECR
sprintf(result,"Reception de la primitive N_DISCONNECT.ind pour la connexion %c\n",connection->tcon.con_number);
writeResults(result,S_ECR);
// Retrait de la connexion de la table de connexions
remove_connection(connection->tcon.con_number);
break;
}
}
else {
// Construction du paquet de DATA
p.prim = N_DATA_req;
getMessageFromBuffer(line_buffer,message);
strcpy(p.data_prim_packet.transaction,message);
p.data_prim_packet.con_number = connection->tcon.con_number;
// Envoyer N_DATA.req
writePrimPacketToStdOut(&p,I_AM);
if(sendPacketToInterface(&p,transToNet_pipe) == -1)
return -1;
}
}
// Construction d'un paquet REL_PRIM_PACKET
// et vidage de la table de connexions
p.prim = N_DISCONNECT_req;
connection = first_con_node;
while (connection) {
p.rel_prim_packet.con_number = connection->tcon.con_number;
writePrimPacketToStdOut(&p,I_AM);
if(sendPacketToInterface(&p,transToNet_pipe) == -1)
return -1;
connection = connection->tcon.next;
}
deleteAllConnections();
// Fermeture du fichier S_LEC
fclose(transaction_file);
return 0;
}
/**************************************************************
* * This main function creates a vector of randomly generated integers
* * for use in testing the implementations of Algorithms 1-4. The first part measures
* * the running time in ms for each Algorithm for display. The second part tests
* * input output by reading input from a specified text file, running each Algorithm
* * on this input, and writing the results to another specified text file.
* ***************************************************************/
int main(int argc, char* argv[]){
std::string filename;
std::string outputfilename;
/* The first argument (argc) is the number of elements in the array so we should have two elements the program name and file name
Credit: http://www.site.uottawa.ca/~lucia/courses/2131-05/labs/Lab3/CommandLineArguments.html
*/
if(argc != 2)
{
std::cout << "Please enter an input filename." << std::endl << std::endl;
exit(1);
}
/* which is the second argument (argv). The second argument is always an array of char*, */
else
{
filename = std::string(argv[1]);
std::string tempoutputfilename = std::string(argv[1]);
//http://www.cplusplus.com/reference/string/string/length/
int strsize = tempoutputfilename.length() - 4;
/* http://www.cplusplus.com/reference/string/string/operator+/
http://www.cplusplus.com/reference/string/string/substr/ */
outputfilename = (tempoutputfilename.substr(0, strsize)) + "change.txt";
std::cout << outputfilename << std::endl;
}
//cout << filename << endl;
/* Stream class provided by C++ to read from files
Credit: http://www.cplusplus.com/doc/tutorial/files/*/
std::ifstream textfile;
/* In order to open a file with a stream object we use its member function open */
textfile.open(filename);
/* To check if a file stream was successful opening a file, you can do it by calling to member is_open
Credit: http://www.cplusplus.com/doc/tutorial/files/*/
if(!textfile.is_open())
{
std::cout << "The file could not be opened." << std::endl;
textfile.close();
exit(1);
}
/* Call function to put first alternating lines as the coin set input and the second alternating lines as total change V */
std::vector<std::vector<int>> coinsetinput;
std::vector<int> changevalueV;
getinput( textfile, coinsetinput, changevalueV );
textfile.close();
/* Stream class to write on files
Credit: http://www.cplusplus.com/doc/tutorial/files/*/
std::ofstream textfile2;
textfile2.open(outputfilename);
if(!textfile2.is_open())
{
std::cout << "Cannot open for writing. Check the permissions of the directory." << std::endl;
textfile2.close();
exit(1);
}
/* Display a babel for brute force algorithm time trial */
std::cout << "Testing changeslow...." << std::endl;
for( unsigned int i = 0; i < coinsetinput.size(); i++ )
{
/* Run brute force algorithm on input numbers from first to last element */
std::vector<int> coinCount;
runtimetrial( changeslow, coinsetinput.at(i), changevalueV.at(i), coinCount );
}
/* Display a babel for greedy algorithm time trial */
std::cout << "Testing changegreedy...." << std::endl;
for( unsigned int i = 0; i < coinsetinput.size(); i++ )
{
/* Run greedy algorithm on input numbers from first to last element */
std::vector<int> coinCount;
runtimetrial( changegreedy, coinsetinput.at(i), changevalueV.at(i), coinCount);
}
/* Display a babel for dynamic programming algorithm time trial */
std::cout << "Testing changedp...." << std::endl;
/*for( unsigned int i = 0; i < coinsetinput.size(); i++ )
{
Run greedy algorithm on input numbers from first to last element
}*/
/* Call function to output is to be written to text file */
textfile2 << "Brute Force \n\n";
/* Run changeslow algorithm on input numbers */
for( unsigned int i = 0; i < coinsetinput.size(); i++ )
{
std::vector<int> coinCount;
int minCoins = changeslow( coinsetinput.at(i), changevalueV.at(i), coinCount );
writeResults( textfile2, coinCount, minCoins );
}
/* Call function to output is to be written to text file */
textfile2 << "Greedy\n\n";
for( unsigned int i = 0; i < coinsetinput.size(); i++ )
{
std::vector<int> coinCount;
int minCoins = changegreedy(coinsetinput.at(i), changevalueV.at(i), coinCount);
writeResults( textfile2, coinCount, minCoins );
}
/* Call function to output is to be written to text file */
textfile2 << "Dynamic Programming\n\n";
//for( unsigned int i = 0; i < coinsetinput.size(); i++ )
// {
// std::vector<int> coinCount;
// int minCoins = changedp();
//writeResults( textfile2, coinCount, minCoins );
//}
textfile2.close();
}
void Game::writeResults()
{
#ifndef NO_OUT
writeResults(std::cout);
#endif
}
// Create a grayscale face image that has a standard size and contrast & brightness.
// "srcImg" should be a copy of the whole color camera frame, so that it can draw the eye positions onto.
// If 'doLeftAndRightSeparately' is true, it will process left & right sides seperately,
// so that if there is a strong light on one side but not the other, it will still look OK.
// Performs Face Preprocessing as a combination of:
// - geometrical scaling, rotation and translation using Eye Detection,
// - smoothing away image noise using a Bilateral Filter,
// - standardize the brightness on both left and right sides of the face independently using separated Histogram Equalization,
// - removal of background and hair using an Elliptical Mask.
// Returns either a preprocessed face square image or NULL (ie: couldn't detect the face and 2 eyes).
// If a face is found, it can store the rect coordinates into 'storeFaceRect' and 'storeLeftEye' & 'storeRightEye' if given,
// and eye search regions into 'searchedLeftEye' & 'searchedRightEye' if given.
cv::Mat preprocessFace::getPreprocessedFace(cv::Mat &srcImg, int desiredFaceWidth, cv::CascadeClassifier &faceCascade, cv::CascadeClassifier &eyeCascade1, cv::CascadeClassifier &eyeCascade2, bool doLeftAndRightSeparately, cv::Rect *storeFaceRect, cv::Point *storeLeftEye, cv::Point *storeRightEye, cv::Rect *searchedLeftEye, cv::Rect *searchedRightEye)
{
// Use square faces.
int desiredFaceHeight = desiredFaceWidth;
// Mark the detected face region and eye search regions as invalid, in case they aren't detected.
if (storeFaceRect)
storeFaceRect->width = -1;
if (storeLeftEye)
storeLeftEye->x = -1;
if (storeRightEye)
storeRightEye->x = -1;
if (searchedLeftEye)
searchedLeftEye->width = -1;
if (searchedRightEye)
searchedRightEye->width = -1;
// Find the largest face.
cv::Rect faceRect;
detector.detectLargestObject(srcImg, faceCascade, faceRect);
// Check if a face was detected.
if (faceRect.width > 0) {
// Give the face rect to the caller if desired.
if (storeFaceRect)
*storeFaceRect = faceRect;
cv::Mat faceImg = srcImg(faceRect); // Get the detected face image.
// If the input image is not grayscale, then convert the BGR or BGRA color image to grayscale.
cv::Mat gray;
if (faceImg.channels() == 3) {
cvtColor(faceImg, gray, CV_BGR2GRAY);
}
else if (faceImg.channels() == 4) {
cvtColor(faceImg, gray, CV_BGRA2GRAY);
}
else {
// Access the input image directly, since it is already grayscale.
gray = faceImg;
}
// Search for the 2 eyes at the full resolution, since eye detection needs max resolution possible!
cv::Point leftEye, rightEye;
detectBothEyes(gray, eyeCascade1, eyeCascade2, leftEye, rightEye, searchedLeftEye, searchedRightEye);
// Give the eye results to the caller if desired.
if (storeLeftEye)
*storeLeftEye = leftEye;
if (storeRightEye)
*storeRightEye = rightEye;
// Check if both eyes were detected.
if (leftEye.x >= 0 && rightEye.x >= 0)
{
inputFaceCount++;
// Make the face image the same size as the training images.
// Since we found both eyes, lets rotate & scale & translate the face so that the 2 eyes
// line up perfectly with ideal eye positions. This makes sure that eyes will be horizontal,
// and not too far left or right of the face, etc.
// Get the center between the 2 eyes.
cv::Point2f eyesCenter = cv::Point2f((leftEye.x + rightEye.x) * 0.5f, (leftEye.y + rightEye.y) * 0.5f);
// Get the angle between the 2 eyes.
double dy = (rightEye.y - leftEye.y);
double dx = (rightEye.x - leftEye.x);
double len = sqrt(dx*dx + dy*dy);
double angle = atan2(dy, dx) * 180.0 / CV_PI; // Convert from radians to degrees.
// Hand measurements shown that the left eye center should ideally be at roughly (0.19, 0.14) of a scaled face image.
const double DESIRED_RIGHT_EYE_X = (1.0f - DESIRED_LEFT_EYE_X);
// Get the amount we need to scale the image to be the desired fixed size we want.
double desiredLen = (DESIRED_RIGHT_EYE_X - DESIRED_LEFT_EYE_X) * desiredFaceWidth;
double scale = desiredLen / len;
// Get the transformation matrix for rotating and scaling the face to the desired angle & size.
cv::Mat rot_mat = getRotationMatrix2D(eyesCenter, angle, scale);
// Shift the center of the eyes to be the desired center between the eyes.
rot_mat.at<double>(0, 2) += desiredFaceWidth * 0.5f - eyesCenter.x;
rot_mat.at<double>(1, 2) += desiredFaceHeight * DESIRED_LEFT_EYE_Y - eyesCenter.y;
// Rotate and scale and translate the image to the desired angle & size & position!
// Note that we use 'w' for the height instead of 'h', because the input face has 1:1 aspect ratio.
cv::Mat warped = cv::Mat(desiredFaceHeight, desiredFaceWidth, CV_8U, cv::Scalar(128)); // Clear the output image to a default grey.
warpAffine(gray, warped, rot_mat, warped.size());
//imshow("warped", warped);
// Give the image a standard brightness and contrast, in case it was too dark or had low contrast.
if (!doLeftAndRightSeparately) {
// Do it on the whole face.
equalizeHist(warped, warped);
}
else {
// Do it seperately for the left and right sides of the face.
equalizeLeftAndRightHalves(warped);
}
//imshow("equalized", warped);
// Use the "Bilateral Filter" to reduce pixel noise by smoothing the image, but keeping the sharp edges in the face.
cv::Mat filtered = cv::Mat(warped.size(), CV_8U);
bilateralFilter(warped, filtered, 0, 20.0, 2.0);
//imshow("filtered", filtered);
// Filter out the corners of the face, since we mainly just care about the middle parts.
// Draw a filled ellipse in the middle of the face-sized image.
cv::Mat mask = cv::Mat(warped.size(), CV_8U, cv::Scalar(0)); // Start with an empty mask.
cv::Point faceCenter = cv::Point(desiredFaceWidth / 2, cvRound(desiredFaceHeight * FACE_ELLIPSE_CY));
cv::Size size = cv::Size(cvRound(desiredFaceWidth * FACE_ELLIPSE_W), cvRound(desiredFaceHeight * FACE_ELLIPSE_H));
ellipse(mask, faceCenter, size, 0, 0, 360, cv::Scalar(255), CV_FILLED);
//imshow("mask", mask);
// Use the mask, to remove outside pixels.
cv::Mat dstImg = cv::Mat(warped.size(), CV_8U, cv::Scalar(128)); // Clear the output image to a default gray.
/*
namedWindow("filtered");
imshow("filtered", filtered);
namedWindow("dstImg");
imshow("dstImg", dstImg);
namedWindow("mask");
imshow("mask", mask);
*/
// Apply the elliptical mask on the face.
filtered.copyTo(dstImg, mask); // Copies non-masked pixels from filtered to dstImg.
//imshow("dstImg", dstImg);
/*if (leftEye.x >= 0 && rightEye.x >= 0)
{
eyeRegion.x = 0;
eyeRegion.y = searchedLeftEye.y;
eyeRegion.width = preprocessedFace.rows;
eyeRegion.height = 30;
cv::rectangle(frame, eyeRegion, CV_RGB(255, 255, 0), 3);
}*/
if (needResults)
{
writeResults(srcImg, gray, dstImg);
}
return dstImg;
}
/*
else {
// Since no eyes were found, just do a generic image resize.
resize(gray, tmpImg, Size(w,h));
}
*/
}
return cv::Mat();
}
int main(){
fp = fopen("partitionResult.txt", "w");
int i=0;
scanf("%d", &number_of_vertex); //3
scanf("%d", &number_of_edge); //2
// construct Graph and allocate spaces for each edge
graph= malloc(sizeof(struct Graph));
graph->V = number_of_vertex;
graph->list = malloc(sizeof(AdjList)*graph->V);
//graph->edgeList = malloc(sizeof(EdgeList)*number_of_edge);
// allocate space for FreeList
freeList = malloc(sizeof(FreeList)*number_of_vertex); // hold the free nodes
newFreeList = malloc(sizeof(FreeList)*number_of_vertex); // to hold the new freeList
for (i=0; i<graph->V; i++) {
graph->list[i].head = NULL;
}
for (i=0; i<graph->V; i++) { // allocate spaces and give initial values
freeList[i].gainList = malloc(sizeof(struct GainList*));
newFreeList[i].gainList = malloc(sizeof(struct GainList*));
freeList[i].gainList->cell_id = i;
}
Nodes *nodes = malloc(sizeof(Nodes)*number_of_edge);
// take source, destinaton and weight from user and hold them into Nodes list
for(i=0; i<number_of_edge; i++){
Nodes node = malloc(sizeof(Nodes));
scanf("%d", &node->src);
scanf("%d", &node->dest);
scanf("%d", &node->weight);
nodes[i] = node;
}
// add edges, make connection between nodes and hold them all in graph->list
for(i=0; i<number_of_edge;i++){
NodeList *node = malloc(sizeof*node);
node->random = rand()%2;
node->dest = nodes[i]->dest;
node->next = graph->list[nodes[i]->src].head;
graph->list[nodes[i]->src].head = node;
// because of undirect
NodeList *node2 = malloc(sizeof*node2);
node2->random = rand()%2;
node2->dest = nodes[i]->src;
node2->next = graph->list[nodes[i]->dest].head;
graph->list[nodes[i]->dest].head = node2;
}
// initialize GainList
maxDegree = findTheMaxDegree();
headL = malloc(sizeof(struct GainList*)*2*maxDegree+1);
headR = malloc(sizeof(struct GainList*)*2*maxDegree+1);
lastL = malloc(sizeof(struct GainList*)*2*maxDegree+1);
lastR = malloc(sizeof(struct GainList*)*2*maxDegree+1);
initializeGainList();
// fill FreeList
fillFreeList();
int cut;
int minCut;
cut = computeCut();
minCut = INT_MAX;
printf("Initial Number of Cut %d\n", cut);
gainCell();
// display();
// gain cell
int j;
do{
for(i=0; i<graph->V;i++){
// base cell
int baseCellId = findBaseCell();
moveBaseCell(baseCellId);
cut = computeCut();
if(cut < minCut){
minCut = cut;
for (j=0; j<graph->V; j++) {
newFreeList[j].gain = freeList[j].gain;
newFreeList[j].partition = freeList[j].partition;
newFreeList[j].locked = 0;//freeList[j].locked;
}
}
gainCell();
}
for (j=0; j<graph->V; j++) {
freeList[j].gain = newFreeList[j].gain;
freeList[j].partition = newFreeList[j].partition;
freeList[j].locked =0;// newFreeList[j].locked;
}
gainCell();
}while(cut != minCut);
printf("Size of Left %d and Size of Right %d\n", sizeL, sizeR);
printf("Min Cut is %d\n", minCut);
writeResults(); // write final partition to file
fclose(fp);
return 0;
}
//Gestionnaire de signal
void sigHandler(int arg)
{
writeResults();
dispose();
exit(EXIT_SUCCESS);
}
int main (int argc, const char * argv[]){
struct timeval start, end;
gettimeofday(&start, NULL);
// general parameters
size_t maxSeqLen = 50000;
int seqType = Sequence::AMINO_ACIDS;
// parameter for the prefiltering
int kmerSize = 6;
int alphabetSize = 21;
size_t maxResListLen = 100;
int split = 0;
int skip = 0;
bool aaBiasCorrection = true;
float zscoreThr = 50.0f;
float sensitivity = 4.0;
// parameters for the alignment
double evalThr = 0.001;
double covThr = 0.8;
int maxAlnNum = 10;
std::string lastSeqDB = "";
std::string currentSeqDB = "";
std::string cluDB = "";
std::string outDB = "";
std::string tmpDir = "";
// get the path of the scoring matrix
char* mmdir = getenv ("MMDIR");
if (mmdir == 0){
std::cerr << "Please set the environment variable $MMDIR to your MMSEQS installation directory.\n";
exit(1);
}
std::string scoringMatrixFile(mmdir);
scoringMatrixFile = scoringMatrixFile + "/data/blosum62.out";
parseArgs(argc, argv, &lastSeqDB, ¤tSeqDB, &cluDB, &outDB, &tmpDir, &scoringMatrixFile, &maxSeqLen);
std::string lastSeqDBIndex = lastSeqDB + ".index";
std::string currentSeqDBIndex = currentSeqDB + ".index";
std::string cluDBIndex = cluDB + ".index";
std::string outDBIndex = outDB + ".index";
std::list<std::string>* tmpFiles = new std::list<std::string>();
std::string AIndex = tmpDir + "/A.index";
std::string BIndex = tmpDir + "/B.index";
tmpFiles->push_back(AIndex);
tmpFiles->push_back(BIndex);
std::string Brest_indexFile = tmpDir + "/Brest.index";
tmpFiles->push_back(Brest_indexFile);
std::string BB_clu = tmpDir + "/BB_clu";
std::string BB_clu_index = BB_clu + ".index";
tmpFiles->push_back(BB_clu);
tmpFiles->push_back(BB_clu_index);
std::cout << "////////////////////////////////////////////////////////////////////////\n";
std::cout << "/////// Init /////////////\n";
std::cout << "////////////////////////////////////////////////////////////////////////\n";
// extract three indexes:
// - A: last database version without deleted sequences
// - B: sequences which are new in the database
writeIndexes(AIndex, BIndex, lastSeqDBIndex, currentSeqDBIndex);
std::cout << "////////////////////////////////////////////////////////////////////////\n";
std::cout << "/////// Calculating B->A scores /////////////\n";
std::cout << "////////////////////////////////////////////////////////////////////////\n";
// calculate score for the updating
// B->A scores
std::string BA_base = runScoresCalculation(currentSeqDB, BIndex,
currentSeqDB, AIndex,
tmpDir,
scoringMatrixFile, maxSeqLen, seqType,
kmerSize, alphabetSize, maxResListLen, split, skip, aaBiasCorrection, zscoreThr, sensitivity,
evalThr, covThr, maxAlnNum, "BA", tmpFiles);
std::cout << "////////////////////////////////////////////////////////////////////////\n";
std::cout << "/////// Adding sequences to existing clusters /////////////\n";
std::cout << "////////////////////////////////////////////////////////////////////////\n";
// update the clustering
DBReader* currSeqDbr = new DBReader(currentSeqDB.c_str(), currentSeqDBIndex.c_str());
currSeqDbr->open(DBReader::NOSORT);
// data structures for the clustering
int seqDBSize = currSeqDbr->getSize();
unsigned int* id2rep = new unsigned int[seqDBSize];
char** rep2cluName = new char*[seqDBSize];
for (int i = 0; i < seqDBSize; i++)
rep2cluName[i] = new char[FFINDEX_MAX_ENTRY_NAME_LENTH];
cluster_t* clusters = new cluster_t[seqDBSize];
for (int i = 0; i < seqDBSize; i++){
clusters[i].clu_size = 0;
clusters[i].first = 0;
clusters[i].last = 0;
}
std::cout << "Read the existing clustering...\n";
// Read the existing clustering
readClustering(currSeqDbr, cluDB, id2rep, rep2cluName, clusters);
std::cout << "Append new sequences to the existing clustering...\n";
// append sequences from the new database to the existing clustering based on the B->A alignment scores
// write sequences without a match to a separate index (they will be clustered separately)
appendToClustering(currSeqDbr, BIndex, BA_base, id2rep, clusters, Brest_indexFile);
if (seqsWithoutMatches > 0){
std::cout << "////////////////////////////////////////////////////////////////////////\n";
std::cout << "/////// Calculating B->B scores /////////////\n";
std::cout << "////////////////////////////////////////////////////////////////////////\n";
// B->B scores
std::string BB_base = runScoresCalculation(currentSeqDB, Brest_indexFile,
currentSeqDB, Brest_indexFile,
tmpDir,
scoringMatrixFile, maxSeqLen, seqType,
kmerSize, alphabetSize, maxResListLen, split, skip, aaBiasCorrection, zscoreThr, sensitivity,
evalThr, covThr, maxAlnNum, "BB", tmpFiles);
std::cout << "////////////////////////////////////////////////////////////////////////\n";
std::cout << "/////// Appending new clusters /////////////\n";
std::cout << "////////////////////////////////////////////////////////////////////////\n";
std::cout << "Cluster new sequences without a match to the existing clusters...\n";
// cluster sequences without a match to the existing clusters separately
// use the index generated in the previous step
Clustering* clu = new Clustering(currentSeqDB, currentSeqDBIndex,
BB_base, BB_base + ".index",
BB_clu, BB_clu_index,
0.0, 0, maxResListLen);
clu->run(Clustering::SET_COVER);
std::cout << "Append generated clusters to the complete clustering...\n";
// append B->B clusters to the clustering
newClus = readClustering(currSeqDbr, BB_clu, id2rep, rep2cluName, clusters);
}
// write new clustering
std::cout << "Write clustering results...\n";
writeResults(clusters, rep2cluName, currSeqDbr, seqDBSize, outDB);
std::cout << "done.\n";
currSeqDbr->close();
std::cout << "////////////////////////////////////////////////////////////////////////\n";
std::cout << "/////// Statistics ////////\n";
std::cout << "////////////////////////////////////////////////////////////////////////\n";
std::cout << "\nPrevios database version: " << oldDBSize << " entries.\n";
std::cout << "New database vesion : " << newDBSize << " entries.\n";
std::cout << deletedSeqs << " entries were deleted,\n";
std::cout << newSeqs << " entries are new,\n";
std::cout << sharedSeqs << " entries are shared.\n\n";
std::cout << seqsWithMatches << " new sequences had matches to the previous database version.\n";
std::cout << "Remaining " << seqsWithoutMatches << " were grouped into " << newClus << " new clusters.\n";
gettimeofday(&end, NULL);
int sec = end.tv_sec - start.tv_sec;
std::cout << "\nTime for updating: " << (sec / 3600) << " h " << (sec % 3600 / 60) << " m " << (sec % 60) << "s\n\n";
deleteTmpFiles(tmpFiles);
delete tmpFiles;
}