code: def extract_features_and_run_knn(node_id: int, config: AttrDict):
      setup_logging(__name__)
      print_cfg(config)
      set_env_vars(local_rank=0, node_id=0, cfg=config)
  
      # Extract the features if no path to the extract features is provided
      if not config.NEAREST_NEIGHBOR.FEATURES.PATH:
          launch_distributed(
              config,
              node_id,
              engine_name="extract_features",
              hook_generator=default_hook_generator,
          )
          config.NEAREST_NEIGHBOR.FEATURES.PATH = get_checkpoint_folder(
              config
          )
  
      # Run KNN on all the extract features
      run_knn_at_all_layers(config)
  
      # close the logging streams including the file handlers
      shutdown_logging()
  
imports: import logging
  from typing import List, NamedTuple
  import numpy
  import torch
  from torch import nn
  from vissl.config import AttrDict
  from vissl.hooks import default_hook_generator
  from vissl.models.model_helpers import get_trunk_output_feature_names
  from vissl.utils.checkpoint import get_checkpoint_folder
  from vissl.utils.distributed_launcher import create_submitit_executor, launch_distributed
  from vissl.utils.env import set_env_vars
  from vissl.utils.extract_features_utils import ExtractedFeaturesLoader
  from vissl.utils.hydra_config import print_cfg
  from vissl.utils.io import save_file
  from vissl.utils.logger import setup_logging, shutdown_logging
label_desc: Use image node_id 6 for calling a global function with example usage: extract_features_and_run_knn(node_id, config) without return types