code: def main(args) -> None:
      model = PPOLightning(**vars(args))
      trainer = Trainer(
          accelerator="cpu", devices=1, val_check_interval=100
      )
      trainer.fit(model)
  
imports: import argparse
  from typing import Callable, Iterator, List, Tuple
  import gym
  import torch
  from lightning.pytorch import LightningModule, Trainer, cli_lightning_logo, seed_everything
  from torch import nn
  from torch.distributions import Categorical, Normal
  from torch.optim.optimizer import Optimizer
  from torch.utils.data import DataLoader, IterableDataset
label_desc: Use image node_id 2 for calling a global function with example usage: main(args) without return types