code: def _as_ndarray(x):
      """chainer.Variable or ndarray -> ndarray."""
      if isinstance(x, chainer.Variable):
          return x.array
      else:
          return x
  
imports: import collections
  import itertools
  from logging import getLogger
  import random
  import chainer
  import chainer.functions
  import numpy
  import chainerrl
  from chainerrl import agent
  from chainerrl.agents.ppo import _compute_explained_variance
  from chainerrl.agents.ppo import _make_dataset
  from chainerrl.agents.ppo import _make_dataset_recurrent
  from chainerrl.agents.ppo import _yield_subset_of_sequences_with_fixed_number_of_items
  from chainerrl.misc.batch_states import batch_states
label_desc: Use image node_id 3 for calling a global function with example usage: _as_ndarray(x) and returns: x, x