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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
try:
# pNormal
xMin = 0.1
xMax = 0.9
nX = 10
for iX in range(nX):
x = xMin + (xMax - xMin) * iX / (nX - 1)
print("pNormal( %.12g" % x, ")=%.6g" % DistFunc.pNormal(
x), ", complementary=%.6g" % DistFunc.pNormal(x, True))
# qNormal
qMin = 0.1
qMax = 0.9
nQ = 10
for iQ in range(nQ):
q = qMin + (qMax - qMin) * iQ / (nQ - 1)
print("qNormal( %.12g" % q, ")=%.6g" % DistFunc.qNormal(
q), ", complementary=%.6g" % DistFunc.qNormal(q, True))
# rNormal
nR = 10
for iR in range(nR):
print("rNormal()=%.6g" % DistFunc.rNormal())
except:
import sys
print("t_DistFunc_normal.py", sys.exc_info()[0], sys.exc_info()[1])
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