code: def download():
      if not os.path.exists("aclImdb"):
          # unzip data if it does not exist
          if not os.path.exists(DATA_FN):
              urlretrieve(DATA_URL, DATA_FN)
          with tarfile.open(DATA_FN, "r:gz") as f:
  
              def is_within_directory(directory, target):
                  abs_directory = os.path.abspath(directory)
                  abs_target = os.path.abspath(target)
                  prefix = os.path.commonprefix(
                      [abs_directory, abs_target]
                  )
                  return prefix == abs_directory
  
              def safe_extract(
                  tar, path=".", members=None, *, numeric_owner=False
              ):
                  # See:
                  # https://docs.python.org/3/library/tarfile.html#tarfile.TarFile.extractall
                  # on why plain tar.extractall can be dangerous
                  for member in tar.getmembers():
                      member_path = os.path.join(path, member.name)
                      if not is_within_directory(path, member_path):
                          raise OSError(
                              "Attempted Path Traversal in Tar File"
                          )
  
                  tar.extractall(
                      path, members, numeric_owner=numeric_owner
                  )
  
              safe_extract(f)
  
imports: import os
  from urllib.request import urlretrieve
  import tarfile
  from dstoolbox.transformers import Padder2d
  from dstoolbox.transformers import TextFeaturizer
  import numpy
  from sklearn.datasets import load_files
  from sklearn.pipeline import Pipeline
  from skorch import NeuralNetClassifier
  import torch
  from torch import nn
  from palladium.interfaces import DatasetLoader
label_desc: Use image node_id 1 for calling a global function with example usage: download() and returns: unknown