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ENH: Random numbers - updated dependent code from change cachedRandom->Random class

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This commit is contained in:
Andrew Heather
2017-04-28 09:15:52 +01:00
parent b07bc1f0b8
commit 7f0cc0045d
96 changed files with 235 additions and 300 deletions
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20
applications/test/Distribution/Test-Distribution.C
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@ -71,7 +71,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dS.add(2.5*R.GaussNormal() + 8.5);
dS.add(2.5*R.GaussNormal<scalar>() + 8.5);
}
Info<< "Mean " << dS.mean() << nl
@ -90,7 +90,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dS2.add(1.5*R.GaussNormal() -6.0);
dS2.add(1.5*R.GaussNormal<scalar>() -6.0);
}
Info<< "Mean " << dS2.mean() << nl
@ -121,7 +121,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dS.add(R.scalar01() + 10*Pstream::myProcNo());
dS.add(R.sample01<scalar>() + 10*Pstream::myProcNo());
}
Pout<< "Mean " << dS.mean() << nl
@ -155,7 +155,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dV.add(R.vector01());
dV.add(R.sample01<vector>());
// Adding separate GaussNormal components with component
// weights
@ -164,9 +164,9 @@ int main(int argc, char *argv[])
(
vector
(
R.GaussNormal()*3.0 + 1.5,
R.GaussNormal()*0.25 + 4.0,
R.GaussNormal()*3.0 - 1.5
R.GaussNormal<scalar>()*3.0 + 1.5,
R.GaussNormal<scalar>()*0.25 + 4.0,
R.GaussNormal<scalar>()*3.0 - 1.5
),
vector(1.0, 2.0, 5.0)
);
@ -225,7 +225,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dT.add(R.tensor01());
dT.add(R.sample01<tensor>());
}
Info<< "Mean " << dT.mean() << nl
@ -249,7 +249,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dSyT.add(R.symmTensor01());
dSyT.add(R.sample01<symmTensor>());
}
Info<< "Mean " << dSyT.mean() << nl
@ -273,7 +273,7 @@ int main(int argc, char *argv[])
for (label i = 0; i < randomDistributionTestSize; i++)
{
dSpT.add(R.sphericalTensor01());
dSpT.add(R.sample01<sphericalTensor>());
}
Info<< "Mean " << dSpT.mean() << nl