code: def __init__(self, dataset, num_replicas, rank):
      self.dataset = dataset
      self.num_replicas = num_replicas
      self.rank = rank
      self.loader = DataLoader(
          dataset,
          sampler=DistributedSampler(dataset, num_replicas, rank),
          batch_size=None,
      )
      self.iterator = None
      self.observation_space = gym.spaces.Discrete(255)
      self.action_space = gym.spaces.Discrete(2)
  
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 1 to create a new FiniteEnv object from inherited base classes: gym with example: obj = FiniteEnv(dataset, num_replicas, rank)