code: def test_truncated_default_transform():
      base_dist = rejection_geometric(1)
      x = Truncated.dist(base_dist, lower=None, upper=5)
      assert _default_transform(x.owner.op, x) is None
  
      base_dist = rejection_normal(0, 1)
      x = Truncated.dist(base_dist, lower=None, upper=5)
      assert isinstance(
          _default_transform(x.owner.op, x), IntervalTransform
      )
  
imports: import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  import scipy
  from pytensor.tensor.random.basic import GeometricRV, NormalRV
  from pymc import Censored, Model, draw, find_MAP
  from pymc.distributions.continuous import Exponential, Gamma, TruncatedNormal, TruncatedNormalRV
  from pymc.distributions.shape_utils import change_dist_size
  from pymc.distributions.transforms import _default_transform
  from pymc.distributions.truncated import Truncated, TruncatedRV, _truncated
  from pymc.exceptions import TruncationError
  from pymc.logprob.abstract import _icdf
  from pymc.logprob.basic import logcdf, logp
  from pymc.logprob.transforms import IntervalTransform
  from pymc.logprob.utils import ParameterValueError
  from pymc.testing import assert_moment_is_expected
label_desc: Use image node_id 13 for calling a global function with example usage: test_truncated_default_transform() without return types