code: def X():
      return [
          [[1, 2, 0], [0, 1, 0]],
          [[1, 2, 1], [0, 0, 1]],
          [[1, 2, 0], [1, 1, 0]],
          [[1, 2, 0], [0, 0, 0]],
          [[1, 1, 0], [0, 1, 0]],
          [[1, 1, 1], [1, 0, 1]],
          [[0, 1, 0], [0, 0, 0]],
      ]
  
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 1 for calling a global function with example usage: X() and returns: list