class_docstr: Coin Game environment.
code: def _coin_position_different_from_players_positions(self):
      success = 0
      while success < self.NUM_AGENTS:
          self.coin_pos = self.np_random.integers(
              self.grid_size, size=2
          )
          success = 1 - self._same_pos(self.red_pos, self.coin_pos)
          success += 1 - self._same_pos(self.blue_pos, self.coin_pos)
  
imports: import copy
  import gymnasium
  import logging
  import numpy
  from gymnasium.spaces import Discrete
  from gymnasium.utils import seeding
  from ray.rllib.env.multi_agent_env import MultiAgentEnv
  from ray.rllib.utils import override
  from typing import Dict, Optional
  from ray.rllib.examples.env.utils.interfaces import InfoAccumulationInterface
label_desc: Use image node_id 9 for calling the CoinGame obj's underlying member method code with example usage: obj._coin_position_different_from_players_positions() without return types