class_docstr: Coin Game environment.
docstr: :param actions: Dict containing both actions for player_1 and player_2
  :return: observations, rewards, done, info
code: def step(self, actions: Dict):
      """
      :param actions: Dict containing both actions for player_1 and player_2
      :return: observations, rewards, done, info
      """
      actions = self._from_RLlib_API_to_list(actions)
  
      self.step_count_in_current_episode += 1
      self._move_players(actions)
      reward_list, generate_new_coin = self._compute_reward()
      if generate_new_coin:
          self._generate_coin()
      observations = self._generate_observation()
  
      return self._to_RLlib_API(observations, reward_list)
  
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 11 for calling the CoinGame obj's underlying member method code with example usage: obj.step(actions) and returns: self