code: def probs():
      return [
          [[0.25, 0.75], [0.32, 0.68]],
          [[0.1, 0.9], [0.3, 0.7], [0.24, 0.76]],
          [[0.35, 0.65], [0.90, 0.10]],
      ]
  
imports: import numpy
  import torch
  import pytest
  from pomegranate.distributions import ConditionalCategorical
  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 3 for calling a global function with example usage: probs() and returns: list