code: def X():
      return [
          [1, 0, 0],
          [0, 0, 1],
          [1, 0, 1],
          [0, 1, 1],
          [1, 1, 0],
          [1, 1, 0],
          [1, 1, 1],
      ]
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Bernoulli
  from ._utils import _test_initialization_raises_one_parameter
  from ._utils import _test_initialization
  from ._utils import _test_predictions
  from ._utils import _test_efd_from_summaries
  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