BUG: `pm.sample_posterior_predictive` discards new results when `extend_inferencedata=True` and `posterior_predictive` group already exists

[jessegrabowski]

Describe the issue:

pm.sample_posterior_predictive silently fails when extend_inferencedata = True and posterior_predictive group exists

Reproduceable code example:

import pymc as pm
import numpy as np

y = np.random.normal(loc=1, size=(100,))
with pm.Model() as m:
    mu = pm.Normal('mu')
    y_hat = pm.Normal('y_hat', mu=mu, sigma=1, observed=y)
    idata = pm.sample()
    idata = pm.sample_posterior_predictive(idata, extend_inferencedata=True)

with pm.Model() as m2:
    new_mu = pm.Normal('mu2', sigma=10)
    y_hat = pm.Normal('y_hat', mu=new_mu, sigma=1)
    idata = pm.sample_posterior_predictive(idata, extend_inferencedata=True)

Error message:

No response

PyMC version information:

5.11

Context for the issue:

In the above snippet, the 2nd sample_posterior_predictive will not error, but the samples will not be associated with the new_mu model.

[ricardoV94]

Fix needs to either raise an error if the group already exists or override the original as we do in pymc-devs/pymc-extras@28a6cb1

[ricardoV94]

https://python.arviz.org/en/stable/api/generated/arviz.InferenceData.extend.html