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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
try:
dimension = 2
sampleSize = 1000
# we create an analytical function
analytical = NumericalMathFunction(['x0', 'x1'], ['f'], ['10+3*x0+x1'])
# we create a collection of uniform distributions over [-Pi Pi[
aCollection = DistributionCollection()
for i in range(dimension):
aCollection.add(Distribution(Normal()))
# we create one distribution object
aDistribution = ComposedDistribution(
aCollection, Copula(IndependentCopula(dimension)))
randomVector = RandomVector(aDistribution)
composite = RandomVector(analytical, randomVector)
print("composite=", composite)
# we create two input samples for the function
inputSample = randomVector.getSample(sampleSize)
outputSample = analytical(inputSample)
src = CorrelationAnalysis.SRC(inputSample, outputSample)
print("src=", src)
except:
import sys
print("t_CorrelationAnalysis_sobol.py",
sys.exc_info()[0], sys.exc_info()[1])
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