code: def test_incsubtensor_original_values_output_dict():
      """
      Test that the original un-incsubtensor value variable appears an the key of
      the logprob factor
      """
  
      base_rv = pt.random.normal(0, 1, size=2)
      rv = pt.set_subtensor(base_rv[0], 5)
      vv = rv.clone()
  
      logp_dict = conditional_logp({rv: vv})
      assert vv in logp_dict
  
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 4 for calling a global function with example usage: test_incsubtensor_original_values_output_dict() without return types