code: def test_log_probability_dtypes(X, means, covs):
      y = Normal(means, covs, covariance_type="full").log_probability(X)
      assert y.dtype == torch.float32
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Normal
  from ._utils import _test_initialization_raises_two_parameters
  from ._utils import _test_initialization
  from ._utils import _test_predictions
  from ._utils import _test_efd_from_summaries
  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 15 for calling a global function with example usage: test_log_probability_dtypes(X, means, covs) without return types