code: def simple_model():
      mu = -2.1
      tau = 1.3
      with Model() as model:
          Normal(
              "x", mu, tau=tau, size=2, initval=floatX_array([0.1, 0.1])
          )
  
      return model.initial_point(), model, (mu, tau**-0.5)
  
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 1 for calling a global function with example usage: simple_model() and returns: model,  model,  mu,  unknown