/// <summary>
/// Randomizes each value in the DNA using a Gaussian distribution.
/// </summary>
/// <param name="data">UMA data.</param>
public void RandomizeDNAGaussian(UMAData data)
{
if (dnaConverter == null)
{
return;
}
UMADnaBase dna = data.GetDna(dnaConverter.DNATypeHash);
if (dna == null)
{
return;
}
int entryCount = dna.Count;
if (means.Length != entryCount)
{
Debug.LogWarning("Range settings out of sync with DNA, cannot apply!");
return;
}
if (values == null)
{
values = new float[entryCount];
}
for (int i = 0; i < entryCount; i++)
{
values[i] = UMAUtils.GaussianRandom(means[i], deviations[i]);
}
dna.Values = values;
}
/// <summary>
/// Randomizes each value in the DNA using a Gaussian distribution.
/// </summary>
/// <param name="data">UMA data.</param>
public void RandomizeDNAGaussian(UMAData data)
{
if (dnaConverter == null)
{
return;
}
UMADnaBase dna = data.GetDna(dnaConverter.DNATypeHash);
if (dna == null)
{
return;
}
int entryCount = dna.Count;
if (values == null)
{
values = new float[entryCount];
}
for (int i = 0; i < entryCount; i++)
{
if (i < means.Length)
{
values[i] = UMAUtils.GaussianRandom(means[i], deviations[i]);
}
}
dna.Values = values;
}