code: def test_ndim(self):
      for ndim in range(10):
          res = list(it.islice(integers_ndim(ndim), 0, 2))
          generator = pm.GeneratorAdapter(integers_ndim(ndim))
          gop = GeneratorOp(generator)()
          f = pytensor.function([], gop)
          assert ndim == res[0].ndim
          np.testing.assert_equal(f(), res[0])
          np.testing.assert_equal(f(), res[1])
  
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 2 for calling the TestGenerator obj's underlying member method code with example usage: obj.test_ndim() without return types