int main(){
int opt, m;
int **uu, **ii, **interests, *uid;
float* eig;
int i, j;
while(1){
printf(MENU);
scanf("%d", &opt);
switch(opt){
case 0:
exit(EXIT_SUCCESS);
case 1:
m = from_file(&uu, &ii, &interests, &uid);
eig_cent(&eig, uu, m);
place_ad(eig, uid, m, num_ads());
break;
case 2:
m = build_graph(&uu, &ii, &interests, &uid);
eig_cent(&eig, uu, m);
place_ad(eig, uid, m, num_ads());
break;
default: printf("Invalid Menu Option\n");
}
}
return 0;
}
int main(int ac, char **av)
{
if (ac != 3)
{
ft_perror("Error: usage ./grab <word> <file>");
return (1);
}
from_file(av[2], av[1]);
}
bool load_page (void *upage)
{
void *vpn = (uint32_t) upage & (uint32_t) SP_ADDR;
struct spage_entry *se = find_entry (vpn);
if (se == NULL)
return false;
switch (se->type){
case 0: //lazy load (from file system)
return from_file (se);
case 1: //swap
// return from_swap (se);
case 2: //mmap
return from_file (se);
default :
return false;
}
}
int tan_parseoptionst::doit()
{
register_languages();
if(check_and_set_options()) return TAN_UNKNOWN;
if(from_file(cmdline.args[0])) return TAN_UNKNOWN;
if(prepare()) return TAN_UNKNOWN;
return analyze();
}
int main()
{
setlocale(LC_CTYPE, "");
from_file();
Dict::build_dict();
std::cout << "words total:" << Dict::words.size() << std::endl;
Dict::find_path("муха", "слон");
//for (auto& r : Dict::result)
// Dict::dump(r);
system("pause");
}
static int
get_user_file(const ntlm_name target_name,
char **username, struct ntlm_buf *key)
{
const char *fn;
if (issuid())
return ENOENT;
fn = getenv("NTLM_USER_FILE");
if (fn == NULL)
return ENOENT;
if (from_file(fn, target_name->domain, username, key) == 0)
return 0;
return ENOENT;
}
//Takes a .db file from DB folder and puts it into Main memory
void Database::open(string table_name) {
ifstream myFile;
string filename = FILEPATH +table_name+".db";
myFile.open(filename);
if(!myFile) {
throw runtime_error("Error: unable to open file!\n");
}
else {
//Get first line containing attributes
vector<Attribute> attributes1;
vector<Record> records;
get_attributes_from_file(myFile, attributes1);
//Get records
get_records_from_file(myFile,records,attributes1.size());
Table from_file(table_name,attributes1,records);
this->tables.push_back(from_file);
}
}
bool
FileSystem::rename( string from, string to )
{
win32::Utf8ToFilename from_file(from);
win32::Utf8ToFilename to_file(to);
if (!from_file.IsUTF16Valid() || !to_file.IsUTF16Valid())
{
return true;
}
if (!::MoveFileExW( from_file, to_file,
MOVEFILE_COPY_ALLOWED | MOVEFILE_REPLACE_EXISTING | MOVEFILE_WRITE_THROUGH ) )
{
log.errorf("%s: MoveFileExW(%s,%s) failed (%d)",__FUNCTION__,from_file.utf8.c_str(),to_file.utf8.c_str(),
GetLastError());
return true;
}
return false;
}
void run_copy(apr_pool_t *pool,
const char *from_file_path, const char *to_file_path)
{
volatile double start_time;
volatile double end_time;
apr_mmap_t *from_file_map;
const char *from_file_data;
apr_size_t write_size;
apr_size_t remain_size;
show_test_name("copy");
File from_file(pool, from_file_path);
from_file.open(APR_READ|APR_BINARY);
from_file_map = from_file.mmap();
File to_file(pool, to_file_path);
to_file.open(APR_CREATE|APR_TRUNCATE|APR_READ|APR_WRITE|APR_BINARY);
MmapFileWriter to_file_writer(pool, to_file.get_handle());
remain_size = static_cast<apr_size_t>(from_file.get_size()); // 4G の壁
from_file_data = AS_CONST_CHAR(from_file_map->mm);
start_time = get_usage_sec();
while (remain_size > 0) {
write_size = (remain_size > BUFFER_SIZE) ? BUFFER_SIZE : remain_size;
to_file_writer.write(from_file_data, write_size);
from_file_data += write_size;
remain_size -= write_size;
}
to_file_writer.close();
end_time = get_usage_sec();
if (diff(pool, from_file_path, to_file_path) != 0) {
THROW(MESSAGE_FILE_DIFFER);
}
show_item("copy", (end_time - start_time)*1000, " msec");
}
static int
get_user_file(const ntlm_name target_name,
char **domainp, char **usernamep, struct ntlm_buf *key)
{
const char *domain;
const char *fn;
*domainp = NULL;
if (issuid())
return ENOENT;
domain = target_name != NULL ? target_name->domain : NULL;
fn = getenv("NTLM_USER_FILE");
if (fn == NULL)
return ENOENT;
if (from_file(fn, domain, domainp, usernamep, key) == 0)
return 0;
return ENOENT;
}
///
/// \return A new instance based on the specified file.
///
/// \throw jade::error Thrown if there is an error parsing the tree.
///
inline static basic_newick_node * from_file(
const std::string & path) ///< The path to the file to decode.
{
return from_file(path.c_str());
}
exif_data::exif_data(const std::string& filename)
{
reset();
from_file(filename);
}
/** Runs the precision/recall test.
* May log errors and even end the application in case of severe error.
* @param params The program options.
*/
void eval_precision_recall( const program_options& params) {
LOG(info) << "Loading class membership mappings...";
Vec1UInt membership_mappings;
Vec1str cluster_files;
exit_if_false( from_file( params.membership_mappings_file, membership_mappings), RETURN_CODE::IO_ERROR);
exit_if_false( from_file( params.cluster_file_paths_file, cluster_files), RETURN_CODE::IO_ERROR);
const uint n_features = static_cast<uint>(membership_mappings.size());
const uint n_clusters = static_cast<uint>(cluster_files.size());
LOG(info) << "# features: " << n_features;
LOG(info) << "# clusters: " << n_clusters;
LOG( info) << "calculating precision / recall ...";
// find best class for each cluster
vector<cluster_info_t> class_mapping;
for( uint i=0; i<n_clusters; ++i) {
Vec1str current_cluster_image_paths;
Vec1str current_cluster_real_image_classes;
std::map<string, uint> class_votes;
from_file( cluster_files[i], current_cluster_image_paths);
for( auto it=current_cluster_image_paths.begin(); it!=current_cluster_image_paths.end(); ++it) {
const string class_name = bfs::path(*it).parent_path().filename().string();
current_cluster_real_image_classes.push_back( class_name);
const auto map_it = class_votes.find( class_name);
if( map_it == class_votes.end())
class_votes[class_name] = 1;
else
map_it->second += 1;
}
const auto max_it = std::max_element( class_votes.begin(),
class_votes.end(),
[]( const std::pair<string, int>& p, const std::pair<string, int>& q) {
return p.second < q.second;
});
if( max_it == class_votes.end()) {
// ***cluster empty *** (yes, that can happen!)
continue;
}
const string assigned_class( max_it->first);
const uint n_retrieved_images( static_cast<uint>(current_cluster_image_paths.size()));
uint false_positives(0);
uint true_positives(0);
uint false_negatives(0);
// find true positives, false positives
for( auto it=current_cluster_real_image_classes.begin(); it!=current_cluster_real_image_classes.end(); ++it) {
const string& real_class = *it;
if( assigned_class.compare( real_class) == 0) {
++true_positives;
} else {
++false_positives;
}
}
// false negatives
std::stringstream folder_name;
folder_name << params.image_db_directory << '/' << assigned_class;
bfs::path folder_path( folder_name.str());
assert( bfs::exists( folder_path) && "the directory must exist.");
uint n_relevant_images(0);
for( bfs::directory_iterator it(folder_path); it!=bfs::directory_iterator(); ++it) {
bfs::path p(*it);
p.make_preferred();
if( !p.has_extension() || !is_image_filetype_supported( p.extension().string()))
continue;
++n_relevant_images;
Vec1str::iterator pos = std::find( current_cluster_image_paths.begin(), current_cluster_image_paths.end(), p.string());
if( pos == current_cluster_image_paths.end())
++false_negatives;
}
assert( true_positives + false_negatives == n_relevant_images && "number of relevant images must be identical to the number of true positivies and false positives");
// *** found true positivies, false positives, false negatives for cluster i ***
// calc precision/recall for each class
const real precision = static_cast<real>(true_positives) / n_retrieved_images;
const real recall = static_cast<real>(true_positives) / n_relevant_images;
class_mapping.push_back( cluster_info_t( assigned_class, true_positives, false_positives, false_negatives, precision, recall));
}
real avg_true_positives(0);
real avg_false_positives(0);
real avg_false_negatives(0);
real avg_precision(0);
real avg_recall(0);
LOG( info) << "<class name> <true positives> <false positives> <false negatives> <precision> <recall>";
for( uint i=0; i<class_mapping.size(); ++i) {
const cluster_info_t& ci = class_mapping[i];
const string& cluster_name = std::get<0>(ci);
const uint true_positives = std::get<1>(ci);
const uint false_positives = std::get<2>(ci);
const uint false_negatives = std::get<3>(ci);
const real precision = std::get<4>(ci);
const real recall = std::get<5>(ci);
avg_true_positives += true_positives;
avg_false_positives += false_positives;
avg_false_negatives += false_negatives;
avg_precision += precision;
avg_recall += recall;
LOG(info) << cluster_name << " " << true_positives << " " << false_positives << " " << false_negatives << " " << precision << " " << recall;
}
avg_true_positives /= class_mapping.size();
avg_false_positives /= class_mapping.size();
avg_false_negatives /= class_mapping.size();
avg_precision /= class_mapping.size();
avg_recall /= class_mapping.size();
LOG(info) << "Average: <true positives> <false positives> <false negatives> <precision> <recall>";
LOG(info) << avg_true_positives << " " << avg_false_positives << " " << avg_false_negatives << " " << avg_precision << " " << avg_recall;
LOG(info) << "Writing stats to file \"" << params.precision_recall_file << "\"...";
to_file( params.precision_recall_file, class_mapping);
}
int main(int argc, char **argv)
{
long int N, i, j, count, test, factorial;
double value;
int block_length, Lmax, index;
block_cont block;
perm_counter permutations;
perm_Reverse reversed;
block_cont::iterator beginning;
std::stringstream perm_string;
std::string temp, perm;
std::ifstream from_file("fractures.txt");
std::getline(from_file, temp);
N = atoi(temp.c_str());
std::getline(from_file, temp);
double * strengths;
Lmax = 1;
factorial = 2;
test = 1000;
while (test > 10)
{
Lmax++;
factorial = factorial*(Lmax+1);
test = N/(factorial);
}
strengths = new double[N];
for (i=0; i < N; i++)
{
std::getline(from_file, temp, '\t');
strengths[i] = atof(temp.c_str());
std::getline(from_file, temp);
}
from_file.close();
std::ofstream toFile("perm_Entropy.txt", std::ios::trunc);
toFile.close();
for (block_length=2; block_length<=Lmax; block_length++)
{
permutations.clear();
for(i=0; i<N-block_length+1; i++)
{
index =0;
for(j=i; j<i+block_length; j++)
{
value = strengths[j];
block.insert(std:: make_pair(value, index));
index++;
}
perm_string.str(std::string());
while (!block.empty())
{
beginning = block.begin();
perm_string << beginning->second << ',';
block.erase(beginning);
}
perm = perm_string.str();
if (permutations.count(perm) > 0)
{
permutations[perm] +=1;
}
else
{
permutations.insert(std::make_pair(perm, 1));
};
}
std::ofstream toFile("perm_Entropy.txt", std::ios::app);
while (!permutations.empty())
{
perm = permutations.begin()->first;
count = permutations.begin()->second;
reversed.insert(std::make_pair(count, perm));
permutations.erase(perm);
}
while (!reversed.empty())
{
perm = reversed.begin()->second;
count = reversed.begin()->first;
toFile << perm << "\t" << count << "\n";
reversed.erase(reversed.begin());
}
std::cout << block_length << " complete\n";
toFile.close();
}
delete[] strengths;
return 0;
}
double* randorg()
{
return from_file("/home/miha/Prejeto/RandomNumbers");
}
double* devrandom()
{
return from_file("/dev/random");
}
void menu_enter(){
///\fn void menu_enter()
///\brief Selectarea optiunii.
///
///Implementarea selectarii dorite in cadrul unei optiunilor din menu.
system("cls");
// se ia fiecare caz de meniu si fiecare caz de element de meniu in parte.
switch(current_menu){
// main menu
case 0 : {
switch (highlighted_item){
case 0 : {//input one word
one_word();
break;
}
case 1 : {//From file
from_file();
break;
}
case 2 : {//Live
live_input();
break;
}
case 3 : {//options-menu
current_menu = 1;
highlighted_item = 0;
break;
}
case 4 : {//Exit
printf("\n\n\tGood bye!");
Sleep(750);
exit(0);
break;
}
}
break;
}
//options-menu
case 1 : {
switch (highlighted_item){
case 0 : {//Update words apparitions
update_app_words();
break;
}
case 1 : {//Insert an word to dictionary
insert_word();
break;
}
case 2 : {//Delete an word from dictionary
delete_word();
break;
}
case 3 : {//Reset dictionary
reset_dict();
break;
}
case 4 : {//Build dictionary from file
build_dict();
break;
}
case 5 : {//Add words to dictionary from file
update_words();
break;
}
case 6 : {//select_suggestions_funcition
current_menu = 2;
highlighted_item = sugg_funct;
break;
}
case 7 : {//back
current_menu = 0;
highlighted_item = 0;
break;
}
}
break;
}
//select suggestion functions
case 2 : {
switch (highlighted_item){
case 0 : {//leven
sugg_funct = 0;
break;
}
case 1 : {//leven 2.0
sugg_funct = 1;
break;
}
case 2 : {//back
current_menu = 1;
highlighted_item = 0;
break;
}
}
}
}
print_menu();
Sleep(50);
}
static shader from_file(shader_type type, std::string const & source) {
return from_file(type, source.data());
}
