code: def make_env_and_successful_return(self, test, n):
      def make_env():
          return ABC(discrete=self.discrete, deterministic=test)
  
      vec_env = pfrl.envs.MultiprocessVectorEnv(
          [make_env for _ in range(n)]
      )
      return vec_env, 1
  
imports: import os
  import tempfile
  import numpy
  import pytest
  import torch
  from torch import nn
  import pfrl
  from pfrl.agents.a2c import A2C
  from pfrl.envs.abc import ABC
  from pfrl.experiments.evaluator import batch_run_evaluation_episodes
  from pfrl.nn import Branched
  from pfrl.policies import GaussianHeadWithStateIndependentCovariance, SoftmaxCategoricalHead
label_desc: Use image node_id 10 for calling the TestA2C obj's underlying member method code with example usage: obj.make_env_and_successful_return(test, n) and returns: vec_env,  int, ABC