text: # -*- coding: utf-8 -*-
  from unityagents import UnityEnvironment
  
  def init_environment(executable_path): 
      
      # Init the Reacher Unity Environment
      env = UnityEnvironment(file_name=executable_path)
      # Get the default brain
      brain_name = env.brain_names[0]
      brain = env.brains[brain_name]
      # Reset the environment
      env_info = env.reset(train_mode=True)[brain_name]
      # Number of agents
      n_agents = len(env_info.agents)
      # Size of each action
      action_size = brain.vector_action_space_size
      
      # Get state space 
      states = env_info.vector_observations
      state_size = states.shape[1]
      
      return env, brain_name, n_agents, state_size, action_size