code: def another_simple_model():
      _, _model, _ = simple_model()
      with _model:
          pm.Potential("pot", pt.ones((10, 10)))
      return _model
  
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 2 for calling a global function with example usage: another_simple_model() and returns: _model