Hi all,
I am a new user of OpenTurns and I have two questions about how I can
handle the results of a Python function in a Monte Carlo simulation
algorithm:
1) I would like to skip the stored process of a specific values calculated
from my OpenTurns Python Function or store a Null/None value in the
outputRandomVector. For example, if I have the script:
class modelePYTHON(OpenTURNSPythonFunction):
def __init__(self):
OpenTURNSPythonFunction.__init__(self,4,1)
def _exec(self,x):
E = x[0]
F = x[1]
L = x[2]
I = x[3]
uy = (F*L*L*L)/(3*E*I)
if uy <= 15.0:
return[uy]
else:
# Here I face my problem
return[None()]
deviation = NumericalMathFunction(modelePYTHON())
that possibility does not work, so how can I solve my problem?
2) Is it possible to transfrom the outputRandomVectors in a list of its
sample valuesand modify their values according to the propreties of list
from Python? ( delete a value, add new ones)
Thanks for your time,
Luiz Augusto.
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