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  • Committer: Bazaar Package Importer
  • Author(s): Christophe Prud'homme
  • Date: 2008-11-18 06:32:22 UTC
  • mfrom: (1.1.1 upstream)
  • Revision ID: james.westby@ubuntu.com-20081118063222-pa0qncclrerrqkg2
Tags: 0.12.2-1
http://bugs.debian.org/506005
* New upstream release
* Bug fix: "New upstream release available (0.12.2)", thanks to Jerome
  Robert (Closes: #506005).
* Applied patch by J. Robert.
* debian/control: build-depends on libxml2

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lib/test/t_Study_save.cxx
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 *  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307 USA
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 *
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 *  @author: $LastChangedBy: dutka $
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 *  @date:   $LastChangedDate: 2008-06-26 13:50:17 +0200 (jeu, 26 jun 2008) $
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 *  Id:      $Id: t_Study_save.cxx 862 2008-06-26 11:50:17Z dutka $
 
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 *  @date:   $LastChangedDate: 2008-10-31 11:52:04 +0100 (ven 31 oct 2008) $
 
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 *  Id:      $Id: t_Study_save.cxx 995 2008-10-31 10:52:04Z dutka $
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 */
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#include <iostream>
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#include <sstream>
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    myStudy.add(p1);
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    // Add another PersistentObject to the Study (here a NumericalSample)
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    NumericalSample s1(3, 2, "mySample");
 
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    NumericalSample s1(3, 2);
 
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    s1.setName("mySample");
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    NumericalPoint p2(2, 0.); p2[0] = 100.; p2[1] = 200.; s1[0] = p2; p2.setName("One");
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    NumericalPoint p3(2, 0.); p3[0] = 101.; p3[1] = 201.; s1[1] = p3; p3.setName("Two");
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    NumericalPoint p4(2, 0.); p4[0] = 102.; p4[1] = 202.; s1[2] = p4; p4.setName("Three");
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    myStudy.add(point);
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    // Create a NearestPointAlgorithm::Result
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    NearestPointAlgorithm::Result nearestPointAlgorithmResult(NumericalPoint(4, 1.0), 15, 1e-10, 2e-10, 3e-10, 4e-10, "nearestPointAlgorithmResult");
 
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    NearestPointAlgorithm::Result nearestPointAlgorithmResult(NumericalPoint(4, 1.0), 15, 1e-10, 2e-10, 3e-10, 4e-10);
 
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    nearestPointAlgorithmResult.setName("nearestPointAlgorithmResult");
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    myStudy.add(nearestPointAlgorithmResult);
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    // Create a Simulation::Result
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    Simulation::Result simulationResult(0.5, 0.01, 150, 4, "simulationResult");
 
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    Simulation::Result simulationResult(0.5, 0.01, 150, 4);
 
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    simulationResult.setName("simulationResult");
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    myStudy.add(simulationResult);
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    // Create a Beta distribution
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    formulas[0] = "a+b+c";
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    formulas[1] = "a-b*c";
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    formulas[2] = "(a+2*b^2+3*c^3)/6";
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    NumericalMathFunction analytical(input, output, formulas, "analytical");
 
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    NumericalMathFunction analytical(input, output, formulas);
 
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    analytical.setName("analytical");
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    myStudy.add(analytical);
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    // Create a QuadraticCumul algorithm
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    QuadraticCumul quadraticCumul(RandomVector(analytical, RandomVector(IndependentCopula(analytical.getInputNumericalPointDimension()), "antecedent"), "composite"), "quadraticCumul");
 
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    RandomVector antecedent(IndependentCopula(analytical.getInputNumericalPointDimension()));
 
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    antecedent.setName("antecedent");
 
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    RandomVector composite(analytical, antecedent);
 
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    composite.setName("composite");
 
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    QuadraticCumul quadraticCumul(composite);
 
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    quadraticCumul.setName("quadraticCumul");
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    quadraticCumul.getMeanFirstOrder();
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    quadraticCumul.getMeanSecondOrder();
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    quadraticCumul.getCovariance();
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    myStudy.add(quadraticCumul);
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    // Create a FORM::Result
 
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    // Create a FORMResult
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    Description input2(2);
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    input2[0] = "x";
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    input2[1] = "y";
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    output2[0] = "d";
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    Description formula2(1);
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    formula2[0] = "y^2-x";
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    NumericalMathFunction model(input2, output2, formula2, "sum");
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    Event event(RandomVector(model, RandomVector(Normal(2), "input"), "output"), Greater(), 1.0, "failureEvent");
 
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    NumericalMathFunction model(input2, output2, formula2);
 
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    model.setName("sum");
 
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    RandomVector input3(Normal(2));
 
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    input3.setName("input");
 
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    RandomVector output3(model, input3);
 
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    output3.setName("output");
 
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    Event event(output3, Greater(), 1.0);
 
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    event.setName("failureEvent");
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    NumericalPoint designPoint(2, 0.0);
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    designPoint[0] = 1.0;
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    FORM::Result formResult(NumericalPoint(2, 1.0), event, false, "formResult");
 
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    FORMResult formResult(NumericalPoint(2, 1.0), event, false);
 
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    formResult.setName("formResult");
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    formResult.getImportanceFactors();
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    formResult.getEventProbabilitySensitivity();
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    myStudy.add(formResult);
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    // Create a SORM::Result
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    SORM::Result sormResult(NumericalPoint(2, 1.0), event, false, "sormResult");
 
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    // Create a SORMResult
 
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    SORMResult sormResult(NumericalPoint(2, 1.0), event, false);
 
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    sormResult.setName("sormResult");
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    sormResult.getEventProbabilityBreitung();
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    sormResult.getEventProbabilityHohenBichler();
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    sormResult.getEventProbabilityTvedt();