code: def make_env_and_successful_return(self, test):
      env = ABC(
          discrete=False,
          episodic=self.episodic or test,
          deterministic=test,
      )
      return env, 1
  
imports: import os
  import tempfile
  import numpy
  import pytest
  import torch
  from torch import distributions, nn
  import pfrl
  from pfrl.envs.abc import ABC
  from pfrl.experiments import train_agent_batch_with_evaluation, train_agent_with_evaluation
  from pfrl.experiments.evaluator import batch_run_evaluation_episodes, run_evaluation_episodes
  from pfrl.nn.lmbda import Lambda
label_desc: Use image node_id 13 for calling the TestSoftActorCritic obj's underlying member method code with example usage: obj.make_env_and_successful_return(test) and returns: env,  int