code: def X():
      return [
          [[1], [2], [0], [0]],
          [[0], [0], [1], [1]],
          [[1], [1], [2], [0]],
          [[2], [2], [2], [1]],
          [[0], [1], [0], [0]],
          [[1], [1], [0], [1]],
          [[2], [1], [0], [1]],
          [[1], [0], [2], [1]],
          [[1], [1], [0], [0]],
          [[0], [2], [1], [0]],
          [[0], [0], [0], [0]],
      ]
  
imports: import numpy
  import torch
  import pytest
  from pomegranate.markov_chain import MarkovChain
  from pomegranate.distributions import Categorical
  from pomegranate.distributions import ConditionalCategorical
  from .distributions._utils import _test_initialization_raises_one_parameter
  from .distributions._utils import _test_initialization
  from .distributions._utils import _test_predictions
  from .distributions._utils import _test_efd_from_summaries
  from .distributions._utils import _test_raises
  from nose.tools import assert_raises
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 1 for calling a global function with example usage: X() and returns: list