code: def make_env_and_successful_return(self, test):
      return (
          ABC(
              discrete=False,
              partially_observable=True,
              deterministic=test,
          ),
          1,
      )
  
imports: from chainer import optimizers
  import numpy
  from chainerrl.agents.ddpg import DDPGModel
  from chainerrl.envs.abc import ABC
  from chainerrl.explorers.epsilon_greedy import LinearDecayEpsilonGreedy
  from chainerrl.policy import FCBNDeterministicPolicy
  from chainerrl.policy import FCLSTMDeterministicPolicy
  from chainerrl.q_functions import FCBNLateActionSAQFunction
  from chainerrl.q_functions import FCLSTMSAQFunction
  from chainerrl import replay_buffer
  from basetest_training import _TestTraining
label_desc: Use image node_id 2 for calling the _TestDDPGOnContinuousPOABC obj's underlying member method code with example usage: obj.make_env_and_successful_return(test) and returns: ABC,  int