input2 = ot.Description(2)
input2[0] = 'x'
input2[1] = 'y'
formula2 = ot.Description(1)
formula2[0] = 'y^2-x'
model = ot.SymbolicFunction(input2, formula2)
model.setName('sum')
input3 = ot.RandomVector(ot.Normal(2))
input3.setName('input')
output3 = ot.CompositeRandomVector(model, input3)
output3.setName('output')
event = ot.ThresholdEvent(output3, ot.Greater(), 1.0)
event.setName('failureEvent')
designPoint = ot.Point(2, 0.0)
designPoint[0] = 1.0
formResult = ot.FORMResult(ot.Point(2, 1.0), event, False)
formResult.setName('formResult')
formResult.getImportanceFactors()
formResult.getEventProbabilitySensitivity()
myStudy.add('formResult', formResult)
# Create a SORMResult
sormResult = ot.SORMResult([1.0] * 2, event, False)
sormResult.setName('sormResult')
sormResult.getEventProbabilityBreitung()
sormResult.getEventProbabilityHohenbichler()
sormResult.getEventProbabilityTvedt()
sormResult.getGeneralisedReliabilityIndexBreitung()
sormResult.getGeneralisedReliabilityIndexHohenbichler()
sormResult.getGeneralisedReliabilityIndexTvedt()
myStudy.add('sormResult', sormResult)
input2[1] = "y"
output2 = ot.Description(1)
output2[0] = "d"
formula2 = ot.Description(1)
formula2[0] = "y^2-x"
model = ot.NumericalMathFunction(input2, output2, formula2)
model.setName("sum")
input3 = ot.RandomVector(ot.Normal(2))
input3.setName("input")
output3 = ot.RandomVector(model, input3)
output3.setName("output")
event = ot.Event(output3, ot.Greater(), 1.0)
event.setName("failureEvent")
designPoint = ot.NumericalPoint(2, 0.0)
designPoint[0] = 1.0
formResult = ot.FORMResult(ot.NumericalPoint(2, 1.0), event, False)
formResult.setName("formResult")
formResult.getImportanceFactors()
formResult.getEventProbabilitySensitivity()
myStudy.add("formResult", formResult)
# Create a SORMResult
sormResult = ot.SORMResult([1.0] * 2, event, False)
sormResult.setName("sormResult")
sormResult.getEventProbabilityBreitung()
sormResult.getEventProbabilityHohenBichler()
sormResult.getEventProbabilityTvedt()
sormResult.getGeneralisedReliabilityIndexBreitung()
sormResult.getGeneralisedReliabilityIndexHohenBichler()
sormResult.getGeneralisedReliabilityIndexTvedt()
myStudy.add("sormResult", sormResult)