class_docstr: Vectorized Coin Game environment.
code: def _generate_observation(self):
      obs = generate_observations_wt_numba_optimization(
          self.batch_size,
          self.red_pos,
          self.blue_pos,
          self.coin_pos,
          self.red_coin,
          self.grid_size,
      )
  
      obs = self._get_obs_invariant_to_the_player_trained(obs)
      obs, _ = self._optional_unvectorize(obs)
      return obs
  
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 5 for calling the VectorizedCoinGame obj's underlying member method code with example usage: obj._generate_observation() and returns: obs