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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
try:
try:
# Instanciate one distribution object
meanPoint = NumericalPoint(1)
meanPoint[0] = 1.0
sigma = NumericalPoint(1)
sigma[0] = 1.0
R = CorrelationMatrix(1)
distribution = Normal(meanPoint, sigma, R)
print("Distribution ", repr(distribution))
# We try to set an erroneous covariance matrix (wrong dimension) into
# distribution
newR = CorrelationMatrix(2)
distribution.setCorrelationMatrix(newR)
# Normally, we should never go here
raise
except:
pass
# except TestFailed, ex :
except:
import sys
print("t_Normal_wrongarg.py", sys.exc_info()[0], sys.exc_info()[1])
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