code: def print_env_vars():
      inspect(
          world_size=os.environ["WORLD_SIZE"],
          run_uuid=os.environ["RUN_UUID"],
          local_rank=os.environ["LOCAL_RANK"],
          rank=os.environ["RANK"],
          master_addr=os.environ["MASTER_ADDR"],
          master_port=os.environ["MASTER_PORT"],
      )
  
imports: import datetime
  import os
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  import torch.utils.data
  from labml_helpers.datasets.mnist import MNISTConfigs
  from labml_helpers.device import DeviceConfigs
  from labml_helpers.metrics.accuracy import Accuracy
  from labml_helpers.module import Module
  from labml_helpers.seed import SeedConfigs
  from labml_helpers.train_valid import TrainValidConfigs, BatchIndex
  from torch.nn.parallel import DistributedDataParallel
  from labml import experiment, monit
  from labml import tracker
  from labml.configs import option
  from labml.logger import inspect
  from labml.utils import pytorch
label_desc: Use image node_id 4 for calling a global function with example usage: print_env_vars() without return types