code: def test_probability_inference(func, scipy_func, test_value):
      assert np.isclose(
          func(pt.exp(pm.Normal.dist()), test_value).eval(),
          getattr(sp.lognorm(s=1), scipy_func)(test_value),
      )
  
imports: import warnings
  import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  import scipy.stats.distributions
  from pytensor.graph.basic import ancestors, equal_computations
  from pytensor.tensor.random.op import RandomVariable
  from pytensor.tensor.subtensor import AdvancedIncSubtensor, AdvancedIncSubtensor1, IncSubtensor
  import pymc
  from pymc.logprob.basic import conditional_logp, icdf, logcdf, logp, transformed_conditional_logp
  from pymc.logprob.transforms import LogTransform
  from pymc.logprob.utils import replace_rvs_by_values
  from pymc.testing import assert_no_rvs
label_desc: Use image node_id 15 for calling a global function with example usage: test_probability_inference(func, scipy_func, test_value) without return types