void TestNormalDistribution::testClone()
{
NormalDistribution distSigmaWithNumDeviations( *mean, *stdDev, numDevs );
NormalDistribution distSigmaWithoutNumDeviations( *mean, *stdDev );
NormalDistribution distBoundsWithoutNumDeviations( lb, ub );
NormalDistribution distBoundsWithNumDeviations( lb, ub, numDevs );
// call clone and test results
NormalDistribution* rtn = (NormalDistribution*)distSigmaWithNumDeviations.clone();
_test( rtn->lowerBound() == distSigmaWithNumDeviations.lowerBound() );
_test( rtn->upperBound() == distSigmaWithNumDeviations.upperBound() );
_test( rtn->mean() == distSigmaWithNumDeviations.mean() );
_test( rtn->stdDev() == distSigmaWithNumDeviations.stdDev() );
_test( rtn->typeName() == distSigmaWithNumDeviations.typeName() );
// clean up memory
delete rtn;
// call clone and test results
rtn = (NormalDistribution*)distSigmaWithoutNumDeviations.clone();
_test( rtn->lowerBound() == distSigmaWithoutNumDeviations.lowerBound() );
_test( rtn->upperBound() == distSigmaWithoutNumDeviations.upperBound() );
_test( rtn->mean() == distSigmaWithoutNumDeviations.mean() );
_test( rtn->stdDev() == distSigmaWithoutNumDeviations.stdDev() );
_test( rtn->typeName() == distSigmaWithoutNumDeviations.typeName() );
// clean up memory
delete rtn;
// call clone and test results
rtn = (NormalDistribution*)distBoundsWithoutNumDeviations.clone();
_test( rtn->lowerBound() == distBoundsWithoutNumDeviations.lowerBound() );
_test( rtn->upperBound() == distBoundsWithoutNumDeviations.upperBound() );
_test( rtn->mean() == distBoundsWithoutNumDeviations.mean() );
_test( rtn->stdDev() == distBoundsWithoutNumDeviations.stdDev() );
_test( rtn->typeName() == distBoundsWithoutNumDeviations.typeName() );
// clean up memory
delete rtn;
// call clone and test results
rtn = (NormalDistribution*)distBoundsWithNumDeviations.clone();
_test( rtn->lowerBound() ==distBoundsWithNumDeviations.lowerBound() );
_test( rtn->upperBound() ==distBoundsWithNumDeviations.upperBound() );
_test( rtn->mean() ==distBoundsWithNumDeviations.mean() );
_test( rtn->stdDev() ==distBoundsWithNumDeviations.stdDev() );
_test( rtn->typeName() ==distBoundsWithNumDeviations.typeName() );
// clean up memory
delete rtn;
}
TEST_F(AnalysisFixture, NormalDistribution) {
//Check default constructor
NormalDistribution defaultDistribution;
EXPECT_EQ(defaultDistribution.mean(),0.0);
EXPECT_EQ(defaultDistribution.standardDeviation(),1.0);
EXPECT_EQ(defaultDistribution.lowerBound(),boost::none);
//Check normal constructor
NormalDistribution distribution(2.0,3.0);
distribution.setLowerBound(0.0);
distribution.setUpperBound(4.0);
EXPECT_EQ(distribution.mean(),2.0);
EXPECT_EQ(distribution.standardDeviation(),3.0);
EXPECT_EQ(distribution.lowerBound(),0.0);
EXPECT_EQ(distribution.upperBound(),4.0);
}
TEST_F(AnalysisFixture,UncertaintyDescription_ConstructionCopyingAndCasting) {
NormalDistribution stdNormal;
{
UncertaintyDescription baseCopy = stdNormal; // copies impl
} // calls destructor
EXPECT_DOUBLE_EQ(0.0,stdNormal.mean());
EXPECT_DOUBLE_EQ(1.0,stdNormal.standardDeviation());
EXPECT_FALSE(stdNormal.lowerBound());
EXPECT_FALSE(stdNormal.upperBound());
{
UncertaintyDescription baseCopy(stdNormal);
NormalDistribution stdNormalCopy = baseCopy.cast<NormalDistribution>();
EXPECT_EQ(UncertaintyDescriptionType(UncertaintyDescriptionType::normal_uncertain),baseCopy.type());
}
{
GenericUncertaintyDescription genericCopy = stdNormal.cast<GenericUncertaintyDescription>();
EXPECT_EQ(2u,genericCopy.attributes().size());
}
}