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https://github.com/aportelli/LatAnalyze.git
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68 lines
2.1 KiB
C++
68 lines
2.1 KiB
C++
#include <iostream>
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#include <LatAnalyze/Io.hpp>
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#include <LatAnalyze/CompiledFunction.hpp>
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#include <LatAnalyze/Plot.hpp>
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#include <LatAnalyze/RandGen.hpp>
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using namespace std;
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using namespace Latan;
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constexpr int seqLength = 25;
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constexpr int saveStep = 9;
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constexpr Index nDraw = 20000;
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const string stateFileName = "exRand.seed";
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int main(void)
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{
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RandGenState state;
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RandGen gen[2];
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AsciiFile stateFile(stateFileName, File::Mode::write|File::Mode::read);
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DVec gauss(nDraw);
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Plot p;
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Histogram h;
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cout << "- GENERATOR STATE I/O TESTS" << endl;
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cout << "-- generating a " << seqLength << " steps random sequence..."
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<< endl;
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for (int i = 0; i < seqLength; ++i)
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{
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if (i == saveStep)
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{
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state = gen[0].getState();
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stateFile.save(state, "exRand");
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cout << "generator state after step " << saveStep - 1
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<< " saved in '" << stateFileName << "'" << endl;
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}
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cout << "step " << i << "\t: " << gen[0].uniform() <<endl;
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}
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cout << "-- setting up another generator from '" << stateFileName << "'..."
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<< endl;
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gen[1].setState(stateFile.read<RandGenState>("exRand"));
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cout << "-- generating a " << seqLength << " steps random sequence..."
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<< endl;
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for (int i = 0; i < seqLength; ++i)
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{
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cout << "step " << i << "\t: " << gen[1].uniform() <<endl;
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}
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cout << "-- generating " << nDraw << " Gaussian random numbers..." << endl;
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FOR_VEC(gauss, i)
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{
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gauss(i) = gen[0].gaussian();
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}
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h.setFromData(gauss, -5., 5., 40);
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h.normalize();
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cout << " median= " << h.median() << endl;
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for (double s = 1.; s < 5.; ++s)
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{
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auto ci = h.confidenceInterval(s);
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cout << static_cast<int>(s) << " sigma(s) interval= [";
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cout << ci.first << ", " << ci.second << "]" << endl;
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}
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p << PlotHistogram(h);
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p << PlotFunction(compile("return exp(-x_0^2/2)/sqrt(2*pi);", 1), -5., 5.);
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p.display();
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return EXIT_SUCCESS;
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}
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