code: def test_from_summaries_null(probs):
      d = JointCategorical(probs)
      d.from_summaries()
      assert_raises(
          AssertionError, assert_array_almost_equal, d.probs, probs
      )
      assert_array_almost_equal(d._w_sum, [0.0, 0.0, 0.0])
      assert_array_almost_equal(d._xw_sum, numpy.zeros_like(probs))
  
      d = JointCategorical(probs, inertia=0.5)
      d.from_summaries()
      assert_raises(
          AssertionError, assert_array_almost_equal, d.probs, probs
      )
      assert_array_almost_equal(d._w_sum, [0.0, 0.0, 0.0])
      assert_array_almost_equal(d._xw_sum, numpy.zeros_like(probs))
  
      d = JointCategorical(probs, inertia=0.5, frozen=True)
      d.from_summaries()
      _test_efd_from_summaries(d, "probs", "_log_probs", probs)
  
imports: import numpy
  import torch
  import pytest
  from pomegranate.distributions import JointCategorical
  from ._utils import _test_initialization_raises_one_parameter
  from ._utils import _test_initialization
  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 24 for calling a global function with example usage: test_from_summaries_null(probs) without return types