void pixelVariationHighRange(const char *filenameOld = "../../../rootFiles/LRScanOldSettings2.root", const char *filenameNew = "../../../rootFiles/LRScanNewSettings.root")
{
TFile *f1 = new TFile(filenameOld);
TFile *f2 = new TFile(filenameNew);
Init();
TLegend *legend = new TLegend(0.65,0.6,0.95,0.95);
color = 3;
TH1D *oldSettings = Analysis(f1);
color = 2;
TH1D *newSettings = Analysis(f2);
legend->AddEntry(oldSettings,"oldSettings","L");
legend->AddEntry(newSettings,"newSettings","L");
canvas->Clear();
oldSettings->Draw();
newSettings->Draw("same");
legend->Draw();
canvas->SaveAs("qualityHist.png");
}
BOOL DChk::Load(STRCPTR name)
{
if (m_File)
return FALSE;
if (!name)
return FALSE;
HANDLE file = ::g_Archive.OpenFile(name);
if (!file)
return FALSE;
UINT size = ::g_Archive.GetFileSize(file);
if (size <= sizeof(SECTIONHEADER)) {
::g_Archive.CloseFile(file);
return FALSE;
}
if (!Analysis(file, size) || !m_SectionTable.size()) {
Clear();
return FALSE;
}
m_File = file;
return TRUE;
}
void Coach::update(SSL_DetectionFrame newFrame)
{
//update memory
if(_memory.size() < 5) {
_memory.push_back(newFrame);
}
else {
_memory.push_back(newFrame);
_memory.erase(_memory.begin());
//update FieldState
fs.bBots.clear();
fs.yBots.clear();
fs.ball = Movable(newFrame.balls(0).x(), newFrame.balls(0).y(), 0, 0); //velocity calculated in analysis
for(int i = 0; i < _memory[4].robots_blue_size(); i++)
{
fs.bBots.push_back(Robot(_memory[4].robots_blue(i).robot_id(),
_memory[4].robots_blue(i).orientation(),
_memory[4].robots_blue(i).x(),
_memory[4].robots_blue(i).y()));
}
for(int i = 0; i < _memory[4].robots_yellow_size(); i++)
{
fs.yBots.push_back(Robot(_memory[4].robots_yellow(i).robot_id(),
_memory[4].robots_yellow(i).orientation(),
_memory[4].robots_yellow(i).x(),
_memory[4].robots_yellow(i).y()));
}
//call analysis to update velocity
Analysis();
}
}
void NaturalNestedDissection
( Int nx,
Int ny,
Int nz,
const DistGraph& graph,
DistMap& map,
DistSeparator& sep,
DistNodeInfo& node,
Int cutoff,
bool storeFactRecvInds )
{
EL_DEBUG_CSE
// NOTE: There is a potential memory leak here if sep or info is reused
DistMap perm( graph.NumSources(), graph.Comm() );
const Int firstLocalSource = perm.FirstLocalSource();
const Int numLocalSources = perm.NumLocalSources();
for( Int s=0; s<numLocalSources; ++s )
perm.SetLocal( s, s+firstLocalSource );
NaturalNestedDissectionRecursion
( nx, ny, nz, graph, perm, sep, node, 0, cutoff );
// Construct the distributed reordering
BuildMap( sep, map );
EL_DEBUG_ONLY(EnsurePermutation(map))
// Run the symbolic analysis
Analysis( node, storeFactRecvInds );
}
void NaturalNestedDissection
( Int nx,
Int ny,
Int nz,
const Graph& graph,
vector<Int>& map,
Separator& sep,
NodeInfo& node,
Int cutoff )
{
EL_DEBUG_CSE
// NOTE: There is a potential memory leak here if sep or info is reused
const Int numSources = graph.NumSources();
vector<Int> perm( numSources );
for( Int s=0; s<numSources; ++s )
perm[s] = s;
NaturalNestedDissectionRecursion
( nx, ny, nz, graph, perm, sep, node, 0, cutoff );
// Construct the distributed reordering
BuildMap( sep, map );
EL_DEBUG_ONLY(EnsurePermutation( map ))
// Run the symbolic analysis
Analysis( node );
}
/* AYW -- 2013-01-08 18:07 JST
* Include laststep in argument */
void CheckForAnalysis (Data *d, Input *ini, Grid *grid, char last_step)
//void CheckForAnalysis (Data *d, Input *ini, Grid *grid)
/* -- AYW */
/*
*
* PURPOSE
*
* Check if Analysis needs to be called
*
********************************************************************** */
{
int check_dt, check_dn;
double t, tnext;
t = g_time;
tnext = t + g_dt;
check_dt = (int) (tnext/ini->anl_dt) - (int)(t/ini->anl_dt);
check_dt = check_dt || g_stepNumber == 0 || fabs(t - ini->tstop) < 1.e-9;
check_dt = check_dt && (ini->anl_dt > 0.0);
check_dn = (g_stepNumber%ini->anl_dn) == 0;
check_dn = check_dn && (ini->anl_dn > 0);
/* AYW -- 2013-01-08 18:04 JST
* Last step condition from main loop */
if (check_dt || check_dn || last_step) Analysis (d, grid);
//if (check_dt || check_dn) Analysis (d, grid);
/* -- AYW */
}
void LL(node_ptr &head,LinkQueue hword)//
{
cout<<"LL(1)文法判断："<<endl;
kong *k=NULL;
list *first=NULL;
list *follow=NULL;
selist *select=NULL;
built(head,first,follow,1);//建立first
builtKong(first,k);//根据first 建立非终结符是否能推出空的表格
built(head,first,follow,0);//建follow
builtSelect(head,first,follow,select,k);//建立select
kong *p=k;
while(p)
{
cout<<p->ch<<" "<<p->b<<endl;
p=p->next;
}
system("pause");
cout<<"FIRST:"<<endl;
Display(first);
system("pause");
cout<<"FOLLOW:"<<endl;
Display(follow);
system("pause");
cout<<"SELECT:"<<endl;
selist *pf=select;
while(pf)
{
cout<<setiosflags(ios_base::left)<<setw(10)<<pf->Vn<<"： ";
cout<<pf->Vt<<endl;
pf=pf->next;
}
system("pause");
judge(select);//通过select判断是否为LL（1）文法
selist *analy=NULL;
Prediction(select,analy);//通过select建立预测分析表
Analysis(analy,hword);//通过分析表开始分析
}
void pixelVariationLowRange(const char *filenameOld = "../rootFiles/LRLScanOldSettings.root", const char *filenameNew = "../rootFiles/LRLScanNewSettings.root", const char *filenameMedium = "../rootFiles/LRLScanOldSettings.root")
{
TFile *f1 = new TFile(filenameOld);
TFile *f2 = new TFile(filenameNew);
TFile *f3 = new TFile(filenameMedium);
Init();
TLegend *legend = new TLegend(0.65,0.6,0.95,0.95);
cout << "test" << endl;
color = 4;
TH1D *oldSettings = Analysis(f1);
color = 1;
TH1D *newSettings = Analysis(f2);
color = 2;
TH1D *mediumSettings = Analysis(f3);
cout << "Entries old settings = " << oldSettings->GetEntries() << endl;
cout << "Entries medium settings = " << mediumSettings->GetEntries() << endl;
cout << "Entries new settings = " << newSettings->GetEntries() << endl;
legend->AddEntry(oldSettings,"oldSettings","L");
legend->AddEntry(mediumSettings,"mediumSettings","L");
legend->AddEntry(newSettings,"newSettings","L");
newSettings->GetYaxis()->SetTitleOffset(1.2);
canvas->Clear();
newSettings->Draw();
oldSettings->Draw("same");
mediumSettings->Draw("same");
legend->Draw();
canvas->SaveAs("aoverb.png");
canvas->SaveAs("aoverb.root");
}
void TSymptom::Process()
{
awpImage* pbg = m_background.GetImage();
awpImage* pcr = m_current.GetImage();
awpImage* pdf = m_diff.GetImage();
awpImage* pbn = m_binary.GetImage();
awpImage* pbns = m_binary_source.GetImage();
_awpZeroImage(pbn);
_awpZeroImage(pbns);
_awpZeroImage(pdf);
if (pbg == NULL || pcr == NULL || pdf == NULL || pbn == NULL)
return;
if (pbg->sSizeX != pcr->sSizeX || pbg->sSizeY != pcr->sSizeY)
return;
//вычисление разницы между полученным изображением и эталонным.
AbsDiff();
if (m_NumFrames < m_NumFramesToTraining)
return;
//нахождение бинарного изображения
_awpAdaptiveThreshold(pdf, pbns);
::awpCopyImage(pbns, &pbn);
_awpNoiseRemove(pbns);
//awpGaussianBlur(pbns, pbn,2);
#ifdef _DEBUG
m_background.SaveImage("background.jpg");
m_current.SaveImage("Current.jpg");
m_diff.SaveImage("diff.jpg");
m_binary.SaveImage("binary.jpg");
m_binary_source.SaveImage("binary_source.jpg");
#endif
// сопровождение найденных объектов
for (int i = 0; i < m_BLOBs.GetCount(); i++)
{
TLFBLOBObject* bo = (TLFBLOBObject*)m_BLOBs.Get(i);
bo->TrackBLOB(NULL);
}
// вычисление интегрального изображения.
// todo: удаление областей на бинарном изображении, занятых объектами.
ApplyMask(pbn);
// анализ полученного бинарного изображения
// нахождение новых объектов
Analysis(NULL);
}
// convert vabamorf base library output to WordAnalysis instances, which as easier to wrap.
std::vector<WordAnalysis> convertOutput(CFSArray<CFSVar>& words) {
std::vector<WordAnalysis> results;
results.reserve(words.GetSize());
for (int widx=0 ; widx < words.GetSize() ; ++widx) {
CFSVar word = words[widx];
CFSVar analysis = word["analysis"];
AnalysisVector vec;
for (int aidx=0 ; aidx < analysis.GetSize() ; ++aidx) {
CFSVar a = analysis[aidx];
vec.push_back(Analysis(a["root"].GetAString(),
a["ending"].GetAString(),
a["clitic"].GetAString(),
a["partofspeech"].GetAString(),
a["form"].GetAString()));
}
results.push_back(WordAnalysis(std::string(word["text"].GetAString()), vec));
}
return results;
}
int Spectral_ExecuteAnalysis(signal_t *orig_signal, int target_iters, int windowing_type, Period_t ***DetectedPeriods)
{
signal_t *signal = NULL;
spectral_time_t timeShifted = 0, totalTime = 0;
/* Input signal is cloned because shifting (and windowing) modifies it */
signal = Spectral_CloneSignal( orig_signal );
timeShifted = Spectral_ShiftSignal( signal );
#if defined(DEBUG_MODE)
fprintf(stdout, "Signal shifted " FORMAT_TIME " ns\n", timeShifted);
#endif
totalTime = Spectral_GetSignalTime( signal );
if (windowing_type != WINDOWING_NONE)
{
applyWindowing( signal, windowing_type );
}
spectral_value_t *wavelet_samples = NULL;
Sampler_wavelet(signal, &wavelet_samples, 1024, NULL); /* 1024 or 4096 */
int sizeSig2;
Wavelet(wavelet_samples, 1024, &sizeSig2, "wavelet.txt");
int m = 0;
int pfound;
long long int period;
FILE *out;
FILE *err;
long long int t0, t1;
char *signalout = "/dev/null";
int numPeriods = 0;
Period_t **listPeriods = NULL, *foundPeriod = NULL;
while (m < sizeSig2)
{
double f1 = wavelet_samples[m];
double f2 = wavelet_samples[m+1];
if (f1 < f2)
{
spectral_time_t c = signal->data[0].time + totalTime * f1;
spectral_time_t d = signal->data[0].time + totalTime * f2;
out = fopen ("report.out", "w");
err = fopen ("report.err", "w");
foundPeriod = Analysis(signal, c/1000000, d/1000000, (d-c)/1000000, c/1000000, d/1000000, NULL, NULL, 1, NULL, &pfound, &period, signalout, &t0, &t1, NULL, out, err, 0, target_iters, 0, 0);
if (foundPeriod != NULL)
{
numPeriods ++;
listPeriods = realloc(listPeriods, numPeriods * sizeof(Period_t *));
listPeriods[numPeriods - 1] = foundPeriod;
/* Reapply the time shift to the results */
foundPeriod->ini += timeShifted;
foundPeriod->end += timeShifted;
foundPeriod->best_ini += timeShifted;
foundPeriod->best_end += timeShifted;
fprintf(stdout, "PERIOD %d: iters=%f length=%lld g=%lf g2=%lf g3=%lf ini=%lld end=%lld best_ini=%lld best_end=%lld\n",
numPeriods,
foundPeriod->iters,
foundPeriod->length,
foundPeriod->goodness,
foundPeriod->goodness2,
foundPeriod->goodness3,
foundPeriod->ini,
foundPeriod->end,
foundPeriod->best_ini,
foundPeriod->best_end);
}
fclose(out);
fclose(err);
}
m += 2;
}
fprintf(stdout, "%d period(s) found.\n", numPeriods);
Spectral_FreeSignal(signal);
*DetectedPeriods = listPeriods;
return numPeriods;
}
/**
* 引数解析
*/
BOOL COption::Analysis(int argc, char* argv[])
{
for (int i = 1; i < argc; i++) {
BOOL result = FALSE;
izanagi::tool::CString cmd(argv[i]);
if (i < argc - 1) {
if (result = (cmd == "-c")) {
// -c
compiler.format("%s", argv[i + 1]);
i++;
}
else if (result = (cmd == "-co")) {
// -co
compileOpt.format("%s", argv[i + 1]);
i++;
}
else if (result = (cmd == "-I")) {
// -I
izanagi::tool::CString tmp;
tmp.format("%s", argv[i + 1]);
includes.push_back(tmp);
i++;
}
else if (result = (cmd == "-D")) {
// -D
izanagi::tool::CString tmp;
tmp.format("%s", argv[i + 1]);
defines.push_back(tmp);
i++;
}
else if (result = (cmd == "-obj")) {
// -obj
objDir.format("%s", argv[i + 1]);
i++;
}
else if (result = (cmd == "-src")) {
// -src
shader.format("%s", argv[i + 1]);
i++;
}
else if (result = (cmd == "-o")) {
// -o
outFile.format("%s", argv[i + 1]);
i++;
}
else if (result = (cmd == "-E")) {
// -E
shader.format("%s", argv[i + 1]);
i++;
isPreproc = TRUE;
}
else if (result = (cmd == "-l")) {
// -l
optionFile.format("%s", argv[i + 1]);
i++;
}
}
if (!result) {
// 引数無しオプション
if (result = (cmd == "-asm")) {
// -asm
isCompileAsm = TRUE;
}
}
if (!result) {
// TODO
printf("無効なオプションです[%s]\n\n", cmd);
//IZ_ASSERT(FALSE);
return FALSE;
}
}
if (optionFile.empty()) {
// 設定ファイルが指定されていない
if (!AnalysisInternal()) {
return FALSE;
}
}
else {
std::vector<izanagi::tool::CString> tvArgsList;
// 設定ファイル解析
if (AnalysisOptionFile(tvArgsList)) {
if (!tvArgsList.empty()) {
// うーん・・・
std::vector<char*> args_tmp;
{
// 最初にはダミーを入れる
args_tmp.push_back("");
std::vector<izanagi::tool::CString>::iterator it = tvArgsList.begin();
while (it != tvArgsList.end()) {
const char* p = *it;
args_tmp.push_back(const_cast<char*>(p));
it++;
}
}
// 再度解析
if (!Analysis((int)args_tmp.size(), &args_tmp[0])) {
IZ_ASSERT(FALSE);
// TODO
return FALSE;
}
}
else {
// 設定ファイルが空て・・・
IZ_ASSERT(FALSE);
// TODO
return FALSE;
}
}
}
return TRUE;
}
int main(int argc, char *argv[]){
int p_order = 2;
int n_threads = 0;
TPZGeoMesh * gmesh = ReadGeometry();
#ifdef PZDEBUG
PrintGeometry(gmesh);
#endif
TPZCompMesh *cmesh = CMeshFooting2D(gmesh, p_order);
TPZAnalysis *analysis = Analysis(cmesh,n_threads);
#ifdef USING_BOOST
boost::posix_time::ptime post_proc_t1 = boost::posix_time::microsec_clock::local_time();
#endif
/// Creation of a post-process analysis
TPZPostProcAnalysis * post_processor = new TPZPostProcAnalysis;
post_processor->SetCompMesh(cmesh);
int n_regions = 1;
TPZManVector<int,10> post_mat_id(n_regions);
post_mat_id[0] = ERock;
TPZStack<std::string> scalar_names,vector_names, tensor_names;
vector_names.Push("Displacement");
tensor_names.Push("Strain");
tensor_names.Push("StrainPlastic");
tensor_names.Push("Stress");
TPZStack<std::string> var_names;
for (auto i : scalar_names) {
var_names.Push(i);
}
for (auto i : vector_names) {
var_names.Push(i);
}
for (auto i : tensor_names) {
var_names.Push(i);
}
post_processor->SetPostProcessVariables(post_mat_id, var_names);
TPZFStructMatrix structmatrix(post_processor->Mesh());
structmatrix.SetNumThreads(n_threads);
post_processor->SetStructuralMatrix(structmatrix);
#ifdef USING_BOOST
boost::posix_time::ptime post_proc_t2 = boost::posix_time::microsec_clock::local_time();
#endif
#ifdef USING_BOOST
REAL case_solving_time = boost::numeric_cast<double>((post_proc_t2-post_proc_t1).total_milliseconds());
std::cout << "Created post-processing in :" << setw(10) << case_solving_time/1000.0 << setw(5) << " seconds." << std::endl;
std::cout << std::endl;
#endif
#ifdef USING_BOOST
boost::posix_time::ptime case_t1 = boost::posix_time::microsec_clock::local_time();
#endif
std::string plotfile = "footing_elast.vtk";
// For a single step
REAL dt = 0.1;
int n_steps = 10;
for (int it = 1; it <= n_steps; it++) {
REAL t = it*dt;
LoadingRamp(t,cmesh);
FindRoot(analysis);
AcceptSolution(cmesh, analysis);
#ifdef USING_BOOST
boost::posix_time::ptime post_l2_projection_proc_t1 = boost::posix_time::microsec_clock::local_time();
#endif
post_processor->TransferSolution();
#ifdef USING_BOOST
boost::posix_time::ptime post_l2_projection_proc_t2 = boost::posix_time::microsec_clock::local_time();
REAL l2_projection_time = boost::numeric_cast<double>((post_l2_projection_proc_t2-post_l2_projection_proc_t1).total_milliseconds());
std::cout << "L2 projection post-processing in :" << setw(10) << l2_projection_time/1000.0 << setw(5) << " seconds." << std::endl;
std::cout << std::endl;
#endif
#ifdef USING_BOOST
boost::posix_time::ptime post_vtk_proc_t1 = boost::posix_time::microsec_clock::local_time();
#endif
PostProcess(post_processor,scalar_names,vector_names,tensor_names,plotfile);
#ifdef USING_BOOST
boost::posix_time::ptime post_vtk_proc_t2 = boost::posix_time::microsec_clock::local_time();
REAL vtk_drawing_time = boost::numeric_cast<double>((post_vtk_proc_t2-post_vtk_proc_t1).total_milliseconds());
std::cout << "Drawing vtk file in :" << setw(10) << vtk_drawing_time/1000.0 << setw(5) << " seconds." << std::endl;
std::cout << std::endl;
#endif
}
#ifdef USING_BOOST
boost::posix_time::ptime case_t2 = boost::posix_time::microsec_clock::local_time();
REAL case_time = boost::numeric_cast<double>((case_t2-case_t1).total_milliseconds());
std::cout << "Execution complete in :" << setw(10) << case_time/1000.0 << setw(5) << " seconds." << std::endl;
std::cout << std::endl;
#endif
std::cout << "Execution complete." << std::endl;
return 0;
}
void KVINDRAOnlineDataAnalyser::ProcessRun()
{
// Perform treatment of a given run
//Open data file
fRunFile = (KVRawDataReader*)gDataSet->OpenRunfile(GetDataType().Data() , fRunNumber);
if (fRunFile->GetStatus() == KVGRUNetClientGanilReader::kSTATUS_NOHOST) {
// cannot connect to ACQ host
Error("ProcessRun", "Cannot connect to acquisition host machine. Check KVGRUNetClientGanilReader.AcqHostName");
return;
}
//warning! real number of run may be different from that deduced from file name
//we get the real run number from gMultiDetArray and use it to name any new files
fRunNumber = gMultiDetArray->GetCurrentRunNumber();
fEventNumber = 0; //event number
cout << endl << "Reading ONLINE events from RUN# " << fRunNumber << endl;
cout << "Starting analysis of data on : ";
TDatime now;
cout << now.AsString() << endl << endl;
preInitRun();
//call user's beginning of run
InitRun();
postInitRun();
fDetEv = new KVDetectorEvent;
//loop over events in file
fGoEventLoop = kTRUE;
fDumpEvents = kFALSE;
while (fGoEventLoop) {
Bool_t gotevent = fRunFile->GetNextEvent();
if (gotevent) {
fEventNumber++;
//reconstruct hit groups
KVSeqCollection* fired = fRunFile->GetFiredDataParameters();
gMultiDetArray->GetDetectorEvent(fDetEv, fired);
preAnalysis();
//call user's analysis. stop if returns kFALSE.
if (!Analysis()) break;
postAnalysis();
fDetEv->Clear();
if (!((fEventNumber) % 10000)) cout << " ++++ " << fEventNumber << " events read ++++ " << endl;
} else {
// got no event - why ?
Int_t status = fRunFile->GetStatus();
switch (status) {
case KVGRUNetClientGanilReader::kSTATUS_NOBUFF:
Warning("ProcessRun", "Got no buffer from ACQHOST. Sleeping for 2 seconds.");
gSystem->Sleep(2000);
break;
case KVGRUNetClientGanilReader::kSTATUS_NOEVENT:
Warning("ProcessRun", "Got no event from ACQHOST. Sleeping for 2 seconds.");
gSystem->Sleep(2000);
break;
case KVGRUNetClientGanilReader::kSTATUS_NOACQ:
Warning("ProcessRun", "Acquisition is stopped. Sleeping for 5 seconds.");
gSystem->Sleep(5000);
break;
}
}
}
delete fDetEv;
cout << "Ending analysis of run " << fRunNumber << " on : ";
TDatime now2;
cout << now2.AsString() << endl << endl;
cout << endl << "Finished reading " << fEventNumber << " events" << endl << endl;
preEndRun();
//call user's end of run function
EndRun();
postEndRun();
if (fMessageThread) {
fMessageThread->Kill();
TThread::Delete(fMessageThread);
delete fMessageThread;
fMessageThread = 0;
}
}