本文整理汇总了C++中Stats::begin方法的典型用法代码示例。如果您正苦于以下问题：C++ Stats::begin方法的具体用法？C++ Stats::begin怎么用？C++ Stats::begin使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Stats的用法示例。
在下文中一共展示了Stats::begin方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: mergeStatMaps
//Multiply elements of *identical* maps together
Stats mergeStatMaps(Stats mapA, Stats mapB) {
Stats::const_iterator itA, itB;
itB = mapB.begin();
Stats result;
for (itA = mapA.begin(); itA != mapA.end(); itA++) {
//Take key from A, and multiply values from A and B.
result.emplace((*itA).first, (*itA).second * (*itB).second );
itB++;
}
return result;
};示例2: runStatMultipliers
int runStatMultipliers (Stats stats, Stats multipliers) {
int totalEffect = 0;
Stats statEffects = mergeStatMaps(stats, multipliers);
//Sum values in statEffects map
Stats::const_iterator it;
for (it = statEffects.begin(); it != statEffects.end(); it++) {
totalEffect += (*it).second;
}
return totalEffect;
}示例3: writeStatsDebug
void writeStatsDebug(FILE* fdebug, const std::string& name, const Stats& stats)
{
fprintf(fdebug, name.c_str());
int pCount=0;
for( Stats::const_iterator sit = stats.begin();
sit != stats.end();
++sit, ++pCount)
fprintf(fdebug, "[%d] Ave=%4.2f:%4.2f:%4.2f:%4.2f::%4.2f:%4.2f, StDev=%4.2f:%4.2f:%4.2f:%4.2f::%4.2f:%4.2f\n",
pCount,
sit->Ave[2], sit->Ave[3], sit->Ave[4], sit->Ave[5], sit->Ave[0], sit->Ave[1],
sit->StDev[2], sit->StDev[3], sit->StDev[4], sit->StDev[5], sit->StDev[0], sit->StDev[1]
);
}示例4: main
//.........这里部分代码省略.........
//std::cout << name << std::endl;
//std::cout << "n" << s.numin << "," << s.numout << std::endl;
for (int i=0;i<s.numin;++i) {
myfile.read(reinterpret_cast<char*>(&f.inputs[i]), sizeof(iostat));
}
f.outputs.resize(s.numout);
for (int i=0;i<s.numout;++i) {
myfile.read(reinterpret_cast<char*>(&f.outputs[i]), sizeof(iostat));
}
}; break;
case (ProfilingData_Type_ENTRY) : {
ProfilingData_ENTRY s;
myfile.read(reinterpret_cast<char*>(&s), sizeof(s));
Stats::iterator it = data.find(s.thisp);
it->second.count+=1;
//std::cout << "Entry " << s.thisp << std::endl;
}; break;
case (ProfilingData_Type_EXIT) : {
ProfilingData_EXIT s;
myfile.read(reinterpret_cast<char*>(&s), sizeof(s));
Stats::iterator it = data.find(s.thisp);
it->second.total_time +=s.total;
//std::cout << "Exit " << s.thisp << ": " << s.total << std::endl;
}; break;
default:
std::cerr << "Unknown type in profile header: " << hd.type << std::endl;
}
}
} else {
std::cerr << "Unable to open file" << std::endl;
}
std::cout << "== Here comes the stats ==" << std::endl;
for (Stats::const_iterator it = data.begin();it!=data.end();++it) {
const functionstat & f = it->second;
if (f.count ==0 ) continue;
std::cout << f.name << ":" << f.count << ":" << f.algorithm_size << ":" << bool(f.type==ProfilingData_FunctionType_MXFunction) << std::endl;
/**
for (int i=0;i<f.lines.size();++i) {
const linestat &L = f.lines[i];
std::cout << " " << i << ":" << L.count << ":" << L.total_time << ":" << L.code;
if (L.dependency!=0) std::cout << "| call " << L.dependency << std::endl;
}*/
}
// Calculate external_time and overhead_time
for (Stats::iterator it = data.begin();it!=data.end();++it) {
functionstat & f = it->second;
if (f.type==ProfilingData_FunctionType_MXFunction) {
f.overhead_time = f.total_time;
for (std::vector<linestat>::const_iterator it2 = f.lines.begin();it2!=f.lines.end();++it2) {
const linestat & l = *it2;
f.overhead_time-= l.total_time;
if (l.dependency) {
f.external_time+= l.total_time;
}
}
}
}
std::ofstream report ("prof.html");
report << "<!DOCTYPE html PUBLIC '-//W3C//DTD XHTML 1.0 Strict//EN' 'http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd'>\n<html xmlns='http://www.w3.org/1999/xhtml'>\n<head><script src='http://d3js.org/d3.v3.min.js'></script><script src='http://cpettitt.github.io/project/dagre-d3/v0.1.5/dagre-d3.min.js'></script>";
report << "<style>"
"svg {"示例5: main_loop
void main_loop()
{
while (true)
{
unsigned int maxLen = 4;
// Reset all counters
for (auto& ov: objectMap)
ov.second.call<void>("clearStats");
qi::os::msleep(interval * 1000);
Stats stats;
// Fetch stats from monitored objects and fill stats
for(ObjectMap::value_type& ov: objectMap)
{
qi::ObjectStatistics os = ov.second.call<qi::ObjectStatistics>("stats");
const std::string& serviceName = ov.first;
for(qi::ObjectStatistics::value_type& s: os)
{
if (s.first == 83)
continue; // hide clearstats
std::string name = boost::lexical_cast<std::string>(s.first);
if (!numeric)
{
qi::MetaObject mo = ov.second.metaObject();
qi::MetaMethod* m = mo.method(s.first);
if (m)
name = m->name();
else
{
qi::MetaSignal* sig = mo.signal(s.first);
if (sig)
name = sig->name();
else
name = name + "(??" ")"; // trigraph protect mode on
}
}
maxLen = std::max(maxLen, (unsigned int)name.size());
stats.push_back(std::make_pair(std::make_pair(serviceName, name), s.second));
}
}
if (!full)
maxLen = std::min(maxLen, 25u);
// Now, sort
std::sort(stats.begin(), stats.end(), StatCompare());
// display
std::cout << "MODULE" << std::string(maxLen + 2 - 6, ' ')
<< "METHOD" << std::string((full?maxServiceLength:17) + 2 - 6, ' ')
<< " %CPU " << "COUNT "
<< "USER" << std::string(6*3 - 2, ' ')
<< "SYS " << std::string(6*3 - 2, ' ')
<< "WALL"
<< std::endl;
for(const Stat& s: stats)
{
const qi::MethodStatistics& ms = s.second;
std::string serviceName = s.first.first;
std::string methodName = s.first.second;
if (!full && serviceName.size() > 17)
serviceName = serviceName.substr(0, 14) + "...";
if (!full && methodName.size() > 25)
methodName = methodName.substr(0, 22) + "...";
std::string spacing(maxLen + 2 - methodName.size(), ' ');
std::string spacing2((full?maxServiceLength:17) + 2 - serviceName.size(), ' ');
std::cout << serviceName << spacing2 << methodName << spacing
<< std::setw(6) << (((ms.user().cumulatedValue() + ms.system().cumulatedValue()) * 100) / interval) << "% "
<< std::setw(3)
<< ms.count() << "x "
<< us(ms.user().cumulatedValue() / (float)ms.count()) << ' ' << us(ms.user().minValue()) << ' ' << us(ms.user().maxValue())
<< " "
<< us(ms.system().cumulatedValue() / (float)ms.count()) << ' ' << us(ms.system().minValue()) << ' ' << us(ms.system().maxValue())
<< " "
<< us(ms.wall().cumulatedValue() / (float)ms.count()) << ' ' << us(ms.wall().minValue()) << ' ' << us(ms.wall().maxValue())
<< " "
<< std::endl;
}
}
}