def make_node(self, rv, val):
"""Make an `Observed` random variable.
Parameters
----------
rv: RandomVariable
The distribution from which `val` is assumed to be a sample value.
val: Variable
The observed value.
"""
val = as_tensor_variable(val)
if rv is not None:
if not hasattr(rv, "type") or rv.type.convert_variable(val) is None:
raise TypeError(
(
"`rv` and `val` do not have compatible types:"
f" rv={rv}, val={val}"
)
)
else:
rv = NoneConst.clone()
inputs = [rv, val]
return Apply(self, inputs, [val.type()])
