class_docstr: Vectorized Coin Game environment.
code: def _optional_unvectorize(self, obs, rewards=None):
      if self.batch_size == 1 and not self.force_vectorized:
          obs = [one_obs[0, ...] for one_obs in obs]
          if rewards is not None:
              rewards[0], rewards[1] = rewards[0][0], rewards[1][0]
      return obs, rewards
  
imports: import copy
  from collections import Iterable
  import numpy
  from numba import jit, prange
  from numba.typed import List
  from ray.rllib.examples.env.coin_game_non_vectorized_env import CoinGame
  from ray.rllib.utils import override
label_desc: Use image node_id 6 for calling the VectorizedCoinGame obj's underlying member method code with example usage: obj._optional_unvectorize(obs, rewards) and returns: obs,  rewards