code: def make_model(cls):
      with pm.Model() as model:
          p = pm.Beta("p", [0.5, 0.5, 1.0], [0.5, 0.5, 1.0], size=3)
          pm.Binomial("y", p=p, n=[4, 12, 9], observed=[1, 2, 9])
      return model
  
imports: import arviz
  import numpy
  import numpy.testing
  import pytensor.tensor
  from scipy import stats
  import pymc
  from pymc.backends.arviz import to_inference_data
  from pymc.util import get_var_name
label_desc: Use image node_id 1 for calling the BetaBinomialFixture obj's underlying member method code with example usage: obj.make_model(cls) and returns: model