class_docstr: Coin Game environment.
code: def _randomize_color_and_player_positions(self):
      # Reset coin color and the players and coin positions
      self.red_coin = self.np_random.integers(low=0, high=2)
      self.red_pos = self.np_random.integers(
          low=0, high=self.grid_size, size=(2,)
      )
      self.blue_pos = self.np_random.integers(
          low=0, high=self.grid_size, size=(2,)
      )
      self.coin_pos = np.zeros(shape=(2,), dtype=np.int8)
  
      self._players_do_not_overlap_at_start()
  
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 5 for calling the CoinGame obj's underlying member method code with example usage: obj._randomize_color_and_player_positions() without return types