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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
class RVEC(PythonRandomVector):
def __init__(self):
super(RVEC, self).__init__(2)
self.setDescription(['R', 'S'])
def getRealization(self):
X = [RandomGenerator.Generate(), 2 + RandomGenerator.Generate()]
return X
def getSample(self, size):
X = []
for i in range(size):
X.append(
[RandomGenerator.Generate(), 2 + RandomGenerator.Generate()])
return X
def getMean(self):
return [0.5, 2.5]
def getCovariance(self):
return [[0.0833333, 0.], [0., 0.0833333]]
R = RVEC()
print(R)
try:
# Instance creation
myRV = RandomVector(R)
print("myRV=", repr(myRV))
# Copy constructor
newRV = RandomVector(myRV)
# Dimension
dim = myRV.getDimension()
print('dimension=', dim)
# Realization
X = myRV.getRealization()
print('realization=', X)
# Sample
X = myRV.getSample(5)
print('sample=', X)
# Mean
mean = myRV.getMean()
print('mean=', mean)
# Covariance
covariance = myRV.getCovariance()
print('covariance=', covariance)
except:
import sys
print("t_RandomVector_python.py", sys.exc_info()[0], sys.exc_info()[1])
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