code: def test_pickling(self, datagen):
      gen = pm.generator(datagen)
      cloudpickle.loads(cloudpickle.dumps(gen))
      bad_gen = pm.generator(integers())
      with pytest.raises(TypeError):
          cloudpickle.dumps(bad_gen)
  
imports: import io
  import itertools
  import re
  import cloudpickle
  import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  from pytensor import shared
  from pytensor.tensor.variable import TensorVariable
  import pymc
  from pymc.data import is_minibatch
  from pymc.pytensorf import GeneratorOp, floatX
label_desc: Use image node_id 6 for calling the TestGenerator obj's underlying member method code with example usage: obj.test_pickling(datagen) without return types