code: def choose_random_outputs(self):
      return np.random.choice([4, 5, 6, 7, 8, 9])
  
imports: from absl.testing import absltest
  from flax.training import train_state
  import jax
  import ml_collections
  import numpy
  import numpy.testing
  import agent
  import env_utils
  import models
  import ppo_lib
label_desc: Use image node_id 1 for calling the TestModel obj's underlying member method code with example usage: obj.choose_random_outputs() and returns: np