code: def test_invalid_var_names(self):
      with Model() as m:
          x = Normal("x")
          y = Normal("y", x, observed=[0, 1, 2])
  
          idata = InferenceData(
              posterior=dict_to_dataset(
                  {"x": np.arange(100).reshape(4, 25)}
              )
          )
          with pytest.raises(
              ValueError, match="var_names must refer to observed_RVs"
          ):
              compute_log_likelihood(idata, var_names=["x"])
  
file_path: pymc/tests/stats/test_log_likelihood.py
imports: import numpy
  import pytest
  import scipy.stats
  from arviz import InferenceData, dict_to_dataset, from_dict
  from pymc.distributions import Dirichlet, Normal
  from pymc.distributions.transforms import log
  from pymc.model import Model
  from pymc.stats.log_likelihood import compute_log_likelihood
  from tests.distributions.test_multivariate import dirichlet_logpdf
label_desc: Use image node_id 4 for calling the TestComputeLogLikelihood obj's underlying member method code with example usage: obj.test_invalid_var_names() without return types