code: def main(args: Namespace, cfg: AttrDict):
      # setup logging
      setup_logging(__name__)
  
      # setup the environment variables
      set_env_vars(local_rank=0, node_id=0, cfg=cfg)
  
      # set seeds
      logging.info("Setting seed....")
      set_seeds(cfg, args.node_id)
  
      # extract the features. We enable the feature extraction as well.
      launch_distributed(
          cfg,
          args.node_id,
          engine_name="extract_features",
          hook_generator=default_hook_generator,
      )
  
      # cluster the extracted features
      rank_features(args, cfg)
      # close the logging streams including the filehandlers
      shutdown_logging()
  
imports: import logging
  import sys
  from argparse import Namespace
  from typing import Any, List
  import numpy
  from hydra.experimental import compose, initialize_config_module
  from sklearn.decomposition import PCA
  from vissl.config import AttrDict
  from vissl.data import build_dataset
  from vissl.hooks import default_hook_generator
  from vissl.utils.checkpoint import get_checkpoint_folder
  from vissl.utils.distributed_launcher import launch_distributed
  from vissl.utils.env import set_env_vars
  from vissl.utils.hydra_config import convert_to_attrdict, is_hydra_available
  from vissl.utils.io import save_file
  from vissl.utils.logger import setup_logging, shutdown_logging
  from vissl.utils.misc import is_faiss_available, merge_features, set_seeds
label_desc: Use image node_id 3 for calling a global function with example usage: main(args, cfg) without return types