code: def _test_fit_params(d, means, covs):
      assert_array_almost_equal(d.means, means)
      assert_array_almost_equal(d.covs, covs)
  
      assert_array_almost_equal(d._w_sum, numpy.zeros(d.d))
      assert_array_almost_equal(d._xw_sum, numpy.zeros(d.d))
      assert_array_almost_equal(d._xxw_sum, numpy.zeros((d.d, d.d)))
  
      assert_raises(AttributeError, getattr, d, "_log_sigma_sqrt_2pi")
      assert_raises(AttributeError, getattr, d, "_inv_two_sigma")
  
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 23 for calling a global function with example usage: _test_fit_params(d, means, covs) without return types