code: def test_unexpected_rvs():
      with pm.Model() as model:
          x = pm.Normal("x")
          y = pm.CustomDist("y", logp=lambda *args: x)
  
      with pytest.raises(
          ValueError,
          match="^Random variables detected in the logp graph",
      ):
          model.logp()
  
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 11 for calling a global function with example usage: test_unexpected_rvs() without return types