code: def test_basic(self):
      generator = pm.GeneratorAdapter(integers())
      gop = GeneratorOp(generator)()
      assert gop.tag.test_value == np.float32(0)
      f = pytensor.function([], gop)
      assert f() == np.float32(0)
      assert f() == np.float32(1)
      for _ in range(2, 100):
          f()
      assert f() == np.float32(100)
  
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 1 for calling the TestGenerator obj's underlying member method code with example usage: obj.test_basic() without return types