code: def non_normal(n=2):
      with pm.Model() as model:
          pm.Beta("x", 3, 3, size=n, transform=None)
      return model.initial_point(), model, (np.tile([0.5], n), None)
  
imports: from itertools import product
  import numpy
  import pytensor
  import pytensor.tensor
  from pytensor.compile.ops import as_op
  import pymc
  from pymc import Categorical, Metropolis, Model, Normal
  from pymc.pytensorf import floatX_array
label_desc: Use image node_id 13 for calling a global function with example usage: non_normal(n) and returns: model,  model,  np,  None