code: def extract_features_and_low_shot(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.LOW_SHOT_BENCHMARK.FEATURES.PATH:
          results = []
          main_checkpoint_dir = config.CHECKPOINT.DIR
          for (
              seed
          ) in config.LOW_SHOT_BENCHMARK.LOGISTIC_REGRESSION.SEEDS:
              config.DATA.TRAIN.DATA_LIMIT_SAMPLING.SEED = seed
              config.CHECKPOINT.DIR = os.path.join(
                  main_checkpoint_dir, f"seed{seed}"
              )
              launch_distributed(
                  config,
                  node_id,
                  engine_name="extract_features",
                  hook_generator=default_hook_generator,
              )
              config.LOW_SHOT_BENCHMARK.FEATURES.PATH = (
                  get_checkpoint_folder(config)
              )
              result = run_low_shot_all_layers(config)
              results.append(result)
          keys = set()
          for result in results:
              keys |= set(result.keys())
          for key in keys:
              print(f"{key}:", [r[key] for r in results])
              print(
                  f"{key} (mean):",
                  np.array([r[key] for r in results]).mean(),
              )
              print(
                  f"{key} (std):",
                  np.array([r[key] for r in results]).std(),
              )
      else:
          result = run_low_shot_all_layers(config)
          print(result)
  
      # close the logging streams including the file handlers
      shutdown_logging()
  
imports: import logging
  import os
  import numpy
  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.logger import setup_logging, shutdown_logging
  from vissl.utils.svm_utils.svm_trainer import SVMTrainer
label_desc: Use image node_id 5 for calling a global function with example usage: extract_features_and_low_shot(node_id, config) without return types