int main(int argc, char **argv){
const char *ip = "127.0.0.1";
int port = 8888;
int requests = 10000;
int clients = 50;
welcome();
usage(argc, argv);
for(int i=1; i<argc; i++){
if(strcmp("-v", argv[i]) == 0){
exit(0);
}
}
if(argc > 1){
ip = argv[1];
}
if(argc > 2){
port = atoi(argv[2]);
}
if(argc > 3){
requests = atoi(argv[3]);
}
if(argc > 4){
clients = atoi(argv[4]);
}
//printf("preparing data...\n");
init_data(requests);
//printf("preparing links...\n");
init_links(clients, ip, port);
bench("set");
bench("get");
bench("del");
bench("hset");
bench("hget");
bench("hdel");
bench("zset");
bench("zget");
bench("zdel");
bench("qpush");
bench("qpop");
printf("\n");
return 0;
}
void init_links(Dllist *dll, int const LNK)
{
switch (LNK)
{
case LEX:
copy_order(dll, STD, LEX);
sort(dll->root, dll->length[LEX], dll, LEX);
break;
case POL:
if (dll->up2date[LEX])
{
copy_order(dll, LEX, POL);
sort(dll->root->links[POL][FWD], dll->length[POL]-1, dll, POL);
}
else
{
init_links(dll, LEX);
init_links(dll, POL);
}
break;
case GRA:
if (dll->up2date[POL])
graham(dll);
else
{
init_links(dll, POL);
init_links(dll, GRA);
}
break;
case JAR:
if (dll->up2date[POL])
jarvis(dll);
else
{
init_links(dll, POL);
init_links(dll, JAR);
}
break;
default: printf("Error in init_links function\n");
break;
}
}
ANNetwork::ANNetwork(const wchar_t *fname) : m_status(-1),
m_nrule(0.2f), m_alpha(0.7f)
{
int res = 0;
int nnum = 0, ifunc = 0, hfunc = 0;
float w = 0.0f;
FILE *fp = _wfopen(fname, L"rt");
if (fp) {
if ((res = fwscanf(fp, L"%d", &m_layers_number)) != 1) {
fclose(fp);
m_status = -1;
return;
}
for (int l = 0; l < m_layers_number; l++) {
if ((res = fwscanf(fp, L"%d", &nnum)) != 1) {
fclose(fp);
m_status = -1;
return;
} else
layers.push_back(new ANNLayer(nnum));
}
if ((res = fwscanf(fp, L"%d %d", &ifunc, &hfunc)) != 2) { //function for input hidden/output layers
ifunc = 0; //default LINEAR for input
hfunc = 1; //default SIGMOID for hidden/output
}
vector<float> adds, mults;
for (int n = 0; n < layers[0]->get_neurons_number(); n++) {
float a, m;
if (res = fwscanf(fp, L"%f %f", &a, &m) != 2) { //blank network file?
for (int n = 0; n < layers[0]->get_neurons_number(); n++) {
adds.push_back(0.0); //default add = 0
mults.push_back(1.0); //default mult = 1
}
break;
}
adds.push_back(a);
mults.push_back(m);
}
init_links(&adds[0], &mults[0], ifunc, hfunc);
for (int l = 1; l < m_layers_number; l++) { //load all weights except input layer
for (int n = 0; n < layers[l]->get_neurons_number(); n++) { //num of Neurons in layer
for (int i = 0; i < layers[l]->neurons[n]->get_input_links_number(); i++) { //num of inputs in Neuron
if ((res = fwscanf(fp, L"%f", &w)) != 1) { //blank network file?
fclose(fp);
m_status = 1;
//init to random values////////////////
randomize_weights((unsigned int)time(0));
return;
} else
layers[l]->neurons[n]->inputs[i]->w = w;
}
}
}
fclose(fp);
m_status = 0;
} else
m_status = -1;
}
