code: def main():
      # Non-vectorized runner
      runner = Runner(
          agent="benchmarks/configs/ppo.json",
          environment=VectorizedEnvironment,
          max_episode_timesteps=10,
      )
      runner.run(num_episodes=1000)
  
      # Vectorized runner, automatically if num_parallel > 1 and environment.is_vectorizable()
      # (and remote argument not specified)
      runner = Runner(
          agent="benchmarks/configs/ppo.json",
          environment=VectorizedEnvironment,
          max_episode_timesteps=10,
          num_parallel=16,
      )
      runner.run(num_episodes=1000)
  
file_path: tensorforce/examples/vectorized_environment.py
imports: import numpy
  from tensorforce import Environment, Runner
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types