class_docstr: Vectorized Coin Game environment.
code: def __init__(self, config=None):
      if config is None:
          config = {}
  
      super().__init__(config)
  
      self.batch_size = config.get("batch_size", 1)
      self.force_vectorized = config.get("force_vectorize", False)
      assert (
          self.grid_size == 3
      ), "hardcoded in the generate_state function"
  
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 1 to create a new VectorizedCoinGame object from inherited base classes: CoinGame with example: obj = VectorizedCoinGame(config)