code: def probs():
      return [
          [0.1, 0.2, 0.2, 0.5],
          [0.3, 0.1, 0.3, 0.3],
          [0.7, 0.05, 0.05, 0.2],
      ]
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Categorical
  from ._utils import _test_initialization_raises_one_parameter
  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 5 for calling a global function with example usage: probs() and returns: list