Describe the issue:

I think thatthis PR changed the behaviour of theCategoricalGibbsMetropolis sampler which now treats alltune anddraws asdraws. By comparison, the behaviour ofBinaryGibbsMetropolis was unchanged, so I am guessing that this change was unintended.

If intended I find this behaviour confusing and we should probably emit a warning message to clarify?

Reproduceable code example:

importpymcaspmwithpm.Model():pm.Categorical("cat", [0.02,0.08,0.9])idata=pm.sample(draws=20,tune=20)# Sampling 4 chains for 0 tune and 40 draw iterations (0 + 160 draws total)# Returns an idata object with 40 draws

Error message:

PyMC version information:

PyMC Version: 5.24 to current

Context for the issue:

No response