code: def train_sample_places_low_shot(
      low_shot_trainer: SVMLowShotTrainer,
      k_values: List[int],
      sample_inds: List[int],
      sample_num: int,
      output_dir: str,
      layername: str,
      cfg: AttrDict,
  ):
      # setup the environment variables
      set_env_vars(local_rank=0, node_id=0, cfg=cfg)
  
      for low_shot_kvalue in k_values:
          checkpoint_dir = (
              f"{output_dir}/sample{sample_num}_k{low_shot_kvalue}"
          )
          train_data = merge_features(
              checkpoint_dir, "train", layername
          )
          train_features = train_data["features"]
          train_targets = train_data["targets"]
          checkpoint_dir = (
              f"{output_dir}/sample{sample_inds[0]}_k{k_values[0]}"
          )
          test_data = merge_features(checkpoint_dir, "test", layername)
          test_features = test_data["features"]
          test_targets = test_data["targets"]
          low_shot_trainer.train(
              train_features, train_targets, sample_num, low_shot_kvalue
          )
          low_shot_trainer.test(
              test_features, test_targets, sample_num, low_shot_kvalue
          )
  
imports: import logging
  import multiprocessing
  import sys
  from argparse import Namespace
  from typing import Any, List
  from extra_scripts.create_low_shot_samples import generate_low_shot_samples, generate_places_low_shot_samples
  from vissl.config import AttrDict
  from vissl.data import dataset_catalog
  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 launch_distributed
  from vissl.utils.env import set_env_vars
  from vissl.utils.hydra_config import compose_hydra_configuration, convert_to_attrdict, print_cfg
  from vissl.utils.io import load_file
  from vissl.utils.logger import setup_logging, shutdown_logging
  from vissl.utils.misc import merge_features
  from vissl.utils.svm_utils.svm_low_shot_trainer import SVMLowShotTrainer
label_desc: Use image node_id 2 for calling a global function with example usage: train_sample_places_low_shot(low_shot_trainer, k_values, sample_inds, sample_num, output_dir, layername, cfg) without return types