code: def get_num_actions(game: str):
      """Get the number of possible actions of a given Atari game.
  
      This determines the number of outputs in the actor part of the
      actor-critic model.
      """
      env = gym.make(game)
      return env.action_space.n
  
file_path: flax/examples/ppo/env_utils.py
imports: import collections
  import gymnasium
  import numpy
  import seed_rl_atari_preprocessing
label_desc: Use image node_id 2 for calling a global function with example usage: get_num_actions(game) and returns: env