code: def probs():
      return [
          [
              [0.25 / 6.0, 0.75 / 6.0],
              [0.32 / 6.0, 0.68 / 6.0],
              [0.5 / 6.0, 0.5 / 6.0],
          ],
          [
              [0.1 / 6.0, 0.9 / 6.0],
              [0.3 / 6.0, 0.7 / 6.0],
              [0.24 / 6.0, 0.76 / 6.0],
          ],
      ]
  
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 3 for calling a global function with example usage: probs() and returns: list