code: def test_logq_mini_2_sample_2_var(
      parametric_grouped_approxes, three_var_model
  ):
      cls, kw = parametric_grouped_approxes
      approx = cls(
          [three_var_model.one, three_var_model.two],
          model=three_var_model,
          **kw,
      )
      logq = approx.logq
      logq = approx.set_size_and_deterministic(logq, 2, 0)
      logq.eval()
  
imports: import functools
  import numpy
  import pytensor.tensor
  import pytest
  import pymc
  from pymc.variational import opvi
  from pymc.variational.approximations import Empirical, EmpiricalGroup, FullRank, FullRankGroup, MeanField, MeanFieldGroup
  from tests.helpers import not_raises
label_desc: Use image node_id 15 for calling a global function with example usage: test_logq_mini_2_sample_2_var(parametric_grouped_approxes, three_var_model) without return types