code: def w():
      return [0, 1.3, 0, 1.2, 2.5, 6.1, 0, 0, 2.1, 0.3, 3.3]
  
imports: import numpy
  import torch
  import pytest
  from pomegranate.factor_graph import FactorGraph
  from pomegranate.distributions import Exponential
  from pomegranate.distributions import Categorical
  from pomegranate.distributions import JointCategorical
  from nose.tools import assert_raises
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 2 for calling a global function with example usage: w() and returns: list