`Censored.from_dict` doesn't work with TensorVariable array

[williambdean]

The round trip doesn't work when either lower or upper are TensorVariable arrays. They are translated to lists which are not handled at init

pymc-marketing/pymc_marketing/prior.py

Lines 1223 to 1231 in 441aa80

	@classmethod
	def from_dict(cls, data: dict[str, Any]) -> Censored:
	"""Create a censored distribution from a dictionary."""
	data = data["data"]
	return cls( # type: ignore
	distribution=Prior.from_dict(data["dist"]),
	lower=data["lower"],
	upper=data["upper"],
	)

We should either handle at initialization or in the from_dict method directly

[williambdean]

This issue has been transferred to pymc-devs/pymc-extras