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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
try:
# pStudent
nuMin = 0.2
nuMax = 5.0
n1 = 5
xMin = 0.1
xMax = 0.9
nX = 10
for i1 in range(n1):
nu = nuMin + (nuMax - nuMin) * i1 / (n1 - 1)
for iX in range(nX):
x = xMin + (xMax - xMin) * iX / (nX - 1)
print("pStudent(", nu, ", %.12g" % x, ")=%.6g" % DistFunc.pStudent(
nu, x), ", complementary=%.6g" % DistFunc.pStudent(nu, x, True))
# qStudent
nuMin = 0.2
nuMax = 5.0
n1 = 5
qMin = 0.1
qMax = 0.9
nQ = 10
for i1 in range(n1):
nu = nuMin + (nuMax - nuMin) * i1 / (n1 - 1)
for iQ in range(nQ):
q = qMin + (qMax - qMin) * iQ / (nQ - 1)
print("qStudent(", nu, ", %.12g" % q, ")=%.6g" % DistFunc.qStudent(
nu, q), ", complementary=%.6g" % DistFunc.qStudent(nu, q, True))
# rStudent
nuMin = 0.2
nuMax = 5.0
n1 = 5
nR = 10
for i1 in range(n1):
nu = nuMin + (nuMax - nuMin) * i1 / (n1 - 1)
for iR in range(nR):
print("rStudent(", nu, ")=%.6g" % DistFunc.rStudent(nu))
except:
import sys
print("t_DistFunc_student.py", sys.exc_info()[0], sys.exc_info()[1])
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