qhandle_t trap_R_GenerateTexture( const byte *data, int x, int y )
{
qhandle_t handle;
std::vector<byte> mydata(x * y * 4);
memcpy(mydata.data(), data, x * y * 4 * sizeof( byte ) );
VM::SendMsg<Render::GenerateTextureMsg>(mydata, x, y, handle);
return handle;
}
int fevec7(Epetra_Comm& Comm, bool verbose)
{
const int NumVectors = 4;
const int NumElements = 4;
Epetra_Map Map(NumElements, 0, Comm);
std::vector<double> mydata(NumElements*NumVectors, 1.0);
Epetra_FEVector x1(View, Map, &mydata[0], NumElements, NumVectors);
x1.PutScalar (0);
// let all processors set global entry 0 to 1
const int GID = 0;
const double value = 1;
x1.ReplaceGlobalValues(1, &GID, &value);
x1.GlobalAssemble (Insert);
if (Comm.MyPID()==0 && x1[0][0] != value) return -1;
return 0;
}
int main(void)
{
try
{
Array mydata(3); //배열 사이즈가 3으로 설정됨
for (int i=0; i<3; i++) mydata[i] = i*10;
for (i=0; i<=3; i++) //i=3이면 범위를 초과하게 된다.
cout << mydata[i] << endl;
}
catch(Array::ESize &err) //ESize 예외 처리
{
cout << "## Exception ##\t" ;
err.print();
}
cout << "계속 실행" << endl;
return 0;
}
int main(int argc, char* argv[]) {
// This code will take a configuration file of the form:
// 1. datafile (containing column delimited x y e1 e2 sigma_e)
// 2. int constsigma (0 to use the parameters in the datafile,
// 1 to use the parameter in line 3)
// 3. double sigma_e (if constsigma=0, then this number is thrown away)
// 4. Eta
// 4a. niter
// 5. output filename
// 6. idx associated with h (e.g. h=h1*rho0^(-0.5)/(rho/rho0)^idx), idx=0.5 means constant noise
// idx=0.=constant length
// 7. h1, the length scale associated with a density of "1".
// 8. The number of modeled isothermal spheres assumed for the initial conditions
// 9-11, 12-14, ..., xc, yc, theta_e for each of the isothermal spheres
if (argc == 1) {
cerr << "calling procedure is: kappapbl [configfile] \n";
return(0);
}
fstream datafile, configfile;
configfile.open(argv[1],ios::in);
if (! configfile.is_open()) {
cerr << "Boo! File does not exist.\n";
return(0);
}
char dataname[200],outpblfile[200];
vector<double> x,y,w,e1,e2,psi0,ktrue;
configfile >> dataname;
datafile.open(dataname,ios::in);
int constsigma,n_iso,niter;
double sige,h1,idx,eta;
configfile >> constsigma;
configfile >> sige;
configfile >> eta;
configfile >> niter;
configfile >> outpblfile;
configfile >> idx;
configfile >> h1;
int n=0;
string line;
double d1,d2,d3,d4,d5,d6,d7,d8;
while (! (datafile.eof() || datafile.peek()== EOF)) {
datafile >> d1 >> d2 >> d3 >> d4 >> d5>> d6; // >> d5 >> d6 >> d7 >> d8;
if (d1 < 530. && d1 > 200. && d2 < 450. && d2 > 250 && d5 > 1. && (d3*d3+d4*d4)<1){
x.push_back(d1);
y.push_back(d2);
e1.push_back(d3);
e2.push_back(d4);
ktrue.push_back(d5);
w.push_back(d5);
//w.push_back(1./(d5*d5));
//psi0.push_back(d7);
if (constsigma == 1) {
w[n]=d5/(sige*sige);
}
n++;
}
getline(datafile,line);
}
datafile.close();
cerr << "n=" << n << "\n";
double xmax=*max_element(x.begin(),x.end());
double xmin=*min_element(x.begin(),x.end());
double ymax=*max_element(y.begin(),y.end());
double ymin=*min_element(y.begin(),y.end());
double del;
if ((xmax-xmin) >(ymax-ymin)) del=(xmax-xmin);
else del=(ymax-ymin);
cerr<<xmax<<" "<<xmin<<endl;
cerr<<ymax<<" "<<ymin<<endl;
for(int i=0;i<n;i++){
x[i]=(x[i]-xmin)/del;
y[i]=(y[i]-ymin)/del;
}
// Now, do we want to start the initial conditions with an isothermal sphere (or two)?
configfile >> n_iso;
cerr << "initializing with " << n_iso << " isothermal spheres\n";
vector<double>psi_new;
for (int i=0; i < n; i++) {
psi_new.push_back(0.);
}
double xc[2],yc[2],te[2];
for (int i_iso=0; i_iso < n_iso; i_iso++) {
configfile >> xc[i_iso];
configfile >> yc[i_iso];
configfile >> te[i_iso];
cerr<<xc[i_iso]<<" "<<yc[i_iso]<<" "<<te[i_iso]<<endl;
}
double chi_store[20],xc0[20],yc0[20];
double sgn1,sgn2;
//for(int init=0; init < 20; init++){
for (int i=0; i < n; i++) {
double theta1=sqrt(pow(x[i]-xc[0],2)+pow(y[i]-yc[0],2));
double theta2=sqrt(pow(x[i]-xc[1],2)+pow(y[i]-yc[1],2));
//cerr<<x[i]<<" "<<y[i]<<endl;
psi_new[i]+=te[0]*theta1+te[1]*theta2;
// cout<<x[i]<<" "<<y[i]<<" "<<psi_new[i]<<endl;
}
configfile.close();
// Initialize the data
datapbl mydata(x,y,e1,e2,w);
vector<double> rho=mydata.compute_density();
/* for(int i=0;i<n;i++){
cerr<<x[i]<<" "<<y[i]<<" "<<rho[i]<<endl;
}*/
double rho0=n;
int nx0=20;
vector<double> rho_grid;
if (idx==1){
grid_field rhobin(x,y,rho,nx0,nx0);
cerr<<"I am HERE"<<endl;
rho_grid=rhobin.bin_pbl();
double dx=rhobin.max(x)-rhobin.min(x);
double dy=rhobin.max(y)-rhobin.min(y);
for(int i=0; i < n; i++) {
int i0=floor((x[i]/dx) *nx0);
int j0=floor((y[i]/dx) *nx0);
double wx=abs((x[i]/dx) *nx0-i0);
double wy=abs((y[i]/dx) *nx0-j0);
rho[i]=rho_grid[i0*nx0+j0]*(1-wx)*(1-wy)+rho_grid[i0*nx0+j0-1]*(1-wx)*wy
+rho_grid[(i0-1)*nx0+j0]*wx*(1-wy)+rho_grid[(i0-1)*nx0+j0-1]*wx*wy;
}
}
cerr<<"I am HERE"<<endl;
vector<double> h;
for (int i=0; i < n; i++) {
h.push_back(h1/sqrt(rho0)/pow(rho[i],idx));
//cerr<<h[i]<<endl;
}
modelpbl mymodel(x,y,h,3);
mymodel.set_data(mydata);
mymodel.set_eta_step(30.);
mymodel.set_eta(eta);
mymodel.set_psi(psi_new);
mymodel.update_all();
//***************************************************************
//
// At this point, both the model and the data are configured
// and initialized.
// Below, we minimize chi^2
//
//***************************************************************
double dof=n-1.;
cerr << "chi2= " << mymodel.chi2()/dof << "\n";
int npts=mymodel.get_npts();
Array1D<double> dpsi(n);
for(int j=0;j<n;j++){
dpsi[j]=0;
}
double chi0;
time_t seconds1,seconds2;
double factor;
factor=0.45;
double dchi=1000.;
double eps=0.01;
double chi=mymodel.chi2()/dof;
while (dchi > eps){
seconds1=time(NULL);
dpsi=mymodel.psi_newton_pbl();
for(int j=0;j<n;j++){
psi_new[j]+=factor*dpsi[j];
}
seconds2=time(NULL);
cerr<<"time for each iteration= "<<(seconds2-seconds1)<< " sec.\n";
mymodel.set_psi(psi_new);
cerr << "chi2= " << mymodel.chi2()/dof << "\n";
chi0=mymodel.chi2()/dof;
dchi=fabs(chi-chi0);
chi=chi0;
}
mymodel.set_eta(0.);
cerr<<"final chi^2= "<<mymodel.chi2()/dof<<endl;
//****************************************************************
// We have completed our minimization. Now, time to export
//****************************************************************
// First, grid up the data...
vector<double> gamma1;
vector<double> gamma2;
vector<double> kappa;
gamma1=mymodel.get_data("GAMMA1");
gamma2=mymodel.get_data("GAMMA2");
kappa=mymodel.get_data("KAPPA");
int nx=60;
int ny=60;
vector<double> g1_bin;
vector<double> g2_bin;
vector<double> k_bin;
vector<double> ktrue_bin;
vector<int> n_grid;
grid_field kapbin(x,y,kappa,nx,ny);
k_bin=kapbin.bin_pbl();
grid_field gam1bin(x,y,gamma1,nx,ny);
g1_bin=gam1bin.bin_pbl();
grid_field gam2bin(x,y,gamma2,nx,ny);
g2_bin=gam2bin.bin_pbl();
//vector<double> weight=gam2bin.get_w();
n_grid=gam2bin.get_n_grid();
grid_field ktruebin(x,y,ktrue,nx,ny);
ktrue_bin=ktruebin.bin_pbl();
ofstream outbindata, outptdata;
outbindata.open("gridded_bullet.dat");
outptdata.open(outpblfile);
// Print out the kappa field, g1, and g2 fields
for(int i=0;i<nx;i++){
for(int j=0;j<ny;j++){
outbindata <<i<<" "<<j<<" "<<k_bin[i*ny+j]<<" " << ktrue_bin[i*ny+j]<<" "<<g1_bin[i*ny+j]<<" "<<g2_bin[i*ny+j]
<<" "<<n_grid[i*ny+j]<< endl;
}
}
outbindata.close();
// Print out the individual data points
for(int i=0;i<npts;i++){
outptdata<<x[i]<<" "<<y[i]<<" "<<mymodel.get_data("PSI",i)<<" "
<<kappa[i]<<"\n";
}
outptdata.close();
return(0);
}
