code: def step(self, action):
      self.current_step += 1
      assert self.current_step <= self.step_count
      return (
          0,
          1.0,
          self.current_step >= self.step_count,
          {
              "sample": self.current_sample,
              "action": action,
              "metric": 2.0,
          },
      )
  
imports: from collections import Counter
  import gym
  import numpy
  from tianshou.data import Batch, Collector
  from tianshou.policy import BasePolicy
  from torch.utils.data import DataLoader, Dataset, DistributedSampler
  from qlib.rl.utils.finite_env import LogWriter, FiniteDummyVectorEnv, FiniteShmemVectorEnv, FiniteSubprocVectorEnv, check_nan_observation, generate_nan_observation
label_desc: Use image node_id 3 for calling the FiniteEnv obj's underlying member method code with example usage: obj.step(action) and returns: int,  int,  unknown,  dict