code: def make_env_and_successful_return(self, test):
      return (
          ABC(
              discrete=False,
              partially_observable=True,
              deterministic=test,
          ),
          1,
      )
  
imports: import chainer
  from chainer import functions
  from chainer import links
  from chainer import optimizers
  import numpy
  from chainerrl.envs.abc import ABC
  from chainerrl.explorers.epsilon_greedy import LinearDecayEpsilonGreedy
  from chainerrl.links import Sequence
  from chainerrl import policies
  from chainerrl import q_function
  from chainerrl import replay_buffer
  from basetest_training import _TestTraining
label_desc: Use image node_id 2 for calling the _TestPGTOnContinuousPOABC obj's underlying member method code with example usage: obj.make_env_and_successful_return(test) and returns: ABC,  int