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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
try:
distribution = Normal(4)
size = 10
weightingDistribution = Normal(distribution)
weightingDistribution.setMean(NumericalPoint(4, 1.0))
myPlane = ImportanceSamplingExperiment(
distribution, weightingDistribution, size)
print("myPlane = ", myPlane)
sample, weights = myPlane.generateWithWeights()
print("sample = ", repr(sample))
print("weights = ", repr(weights))
except:
import sys
print("t_ImportanceSamplingExperiment_std.py",
sys.exc_info()[0], sys.exc_info()[1])
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