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internal random generator entirely removed, use C++11 generators

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This commit is contained in:
Antonin Portelli
2016-04-06 20:04:23 +01:00
parent 984947c677
commit 3611d12fa9
20 changed files with 71 additions and 1044 deletions
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18
examples/exFit.cpp
View File

@ -20,11 +20,13 @@ const double dx2 = 5.0/static_cast<double>(nPoint2);
int main(void)
{
// generate fake data
XYStatData data;
RandGen rg;
double xBuf[2];
DoubleModel f([](const double *x, const double *p)
{return p[1]*exp(-x[0]*p[0])+x[1];}, 2, 2);
XYStatData data;
random_device rd;
mt19937 gen(rd());
normal_distribution<> dis;
double xBuf[2];
DoubleModel f([](const double *x, const double *p)
{return p[1]*exp(-x[0]*p[0])+x[1];}, 2, 2);
cout << "-- generating fake data..." << endl;
data.addXDim(nPoint1);
@ -33,13 +35,13 @@ int main(void)
for (Index i1 = 0; i1 < nPoint1; ++i1)
{
xBuf[0] = i1*dx1;
data.x(i1, 0) = rg.gaussian(xBuf[0], xErr);
data.x(i1, 0) = xErr*dis(gen) + xBuf[0];
for (Index i2 = 0; i2 < nPoint2; ++i2)
{
xBuf[1] = i2*dx2;
data.x(i2, 1) = xBuf[1];
data.y(data.dataIndex(i1, i2), 0) = rg.gaussian(f(xBuf, exactPar),
yErr);
data.y(data.dataIndex(i1, i2), 0) = yErr*dis(gen)
+ f(xBuf, exactPar);
}
}
data.setXError(0, DVec::Constant(data.getXSize(0), xErr));

18
examples/exFitSample.cpp
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@ -20,11 +20,13 @@ const double dx2 = 5.0/static_cast<double>(nPoint2);
int main(void)
{
// generate fake data
XYSampleData data(nSample);
RandGen rg;
double xBuf[2];
DoubleModel f([](const double *x, const double *p)
{return p[1]*exp(-x[0]*p[0])+x[1];}, 2, 2);
XYSampleData data(nSample);
double xBuf[2];
random_device rd;
mt19937 gen(rd());
normal_distribution<> dis;
DoubleModel f([](const double *x, const double *p)
{return p[1]*exp(-x[0]*p[0])+x[1];}, 2, 2);
cout << "-- generating fake data..." << endl;
data.addXDim(nPoint1);
@ -35,13 +37,13 @@ int main(void)
for (Index i1 = 0; i1 < nPoint1; ++i1)
{
xBuf[0] = i1*dx1;
data.x(i1, 0)[s] = rg.gaussian(xBuf[0], xErr);
data.x(i1, 0)[s] = xErr*dis(gen) + xBuf[0];
for (Index i2 = 0; i2 < nPoint2; ++i2)
{
xBuf[1] = i2*dx2;
data.x(i2, 1)[s] = xBuf[1];
data.y(data.dataIndex(i1, i2), 0)[s] =
rg.gaussian(f(xBuf, exactPar), yErr);
data.y(data.dataIndex(i1, i2), 0)[s] = yErr*dis(gen)
+ f(xBuf, exactPar);
}
}
}

40
examples/exRand.cpp
View File

@ -2,52 +2,26 @@
#include <LatAnalyze/Io.hpp>
#include <LatAnalyze/CompiledFunction.hpp>
#include <LatAnalyze/Plot.hpp>
#include <LatAnalyze/RandGen.hpp>
using namespace std;
using namespace Latan;
constexpr int seqLength = 25;
constexpr int saveStep = 9;
constexpr Index nDraw = 20000;
const string stateFileName = "exRand.seed";
int main(void)
{
RandGenState state;
RandGen gen[2];
AsciiFile stateFile(stateFileName, File::Mode::write|File::Mode::read);
DVec gauss(nDraw);
Plot p;
Histogram h;
random_device rd;
mt19937 gen(rd());
normal_distribution<> dis;
DVec gauss(nDraw);
Plot p;
Histogram h;
cout << "- GENERATOR STATE I/O TESTS" << endl;
cout << "-- generating a " << seqLength << " steps random sequence..."
<< endl;
for (int i = 0; i < seqLength; ++i)
{
if (i == saveStep)
{
state = gen[0].getState();
stateFile.save(state, "exRand");
cout << "generator state after step " << saveStep - 1
<< " saved in '" << stateFileName << "'" << endl;
}
cout << "step " << i << "\t: " << gen[0].uniform() <<endl;
}
cout << "-- setting up another generator from '" << stateFileName << "'..."
<< endl;
gen[1].setState(stateFile.read<RandGenState>("exRand"));
cout << "-- generating a " << seqLength << " steps random sequence..."
<< endl;
for (int i = 0; i < seqLength; ++i)
{
cout << "step " << i << "\t: " << gen[1].uniform() <<endl;
}
cout << "-- generating " << nDraw << " Gaussian random numbers..." << endl;
FOR_VEC(gauss, i)
{
gauss(i) = gen[0].gaussian();
gauss(i) = dis(gen);
}
h.setFromData(gauss, -5., 5., 40);
h.normalize();