code: def test_log_probability_dtypes(X, probs):
      y = Categorical(probs).log_probability(X)
      assert y.dtype == torch.float32
  
      probs = numpy.array(probs, dtype=numpy.float64)
  
      y = Categorical(probs).log_probability(X)
      assert y.dtype == torch.float64
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Categorical
  from ._utils import _test_initialization_raises_one_parameter
  from ._utils import _test_predictions
  from ._utils import _test_raises
  from nose.tools import assert_raises
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 17 for calling a global function with example usage: test_log_probability_dtypes(X, probs) without return types