code: def load_stl() -> DATASET_TYPE:
      """
      Loads the STL-10 dataset from `config.ART_DATA_PATH` or downloads it if necessary.
  
      :return: `(x_train, y_train), (x_test, y_test), min, max`.
      """
      min_, max_ = 0.0, 1.0
  
      # Download and extract data if needed
  
      path = get_file(
          "stl10_binary",
          path=config.ART_DATA_PATH,
          extract=True,
          url="https://ai.stanford.edu/~acoates/stl10/stl10_binary.tar.gz",
      )
  
      with open(os.path.join(path, "train_X.bin"), "rb") as f_numpy:
          x_train = np.fromfile(f_numpy, dtype=np.uint8)
          x_train = np.reshape(x_train, (-1, 3, 96, 96))
  
      with open(os.path.join(path, "test_X.bin"), "rb") as f_numpy:
          x_test = np.fromfile(f_numpy, dtype=np.uint8)
          x_test = np.reshape(x_test, (-1, 3, 96, 96))
  
      # Set channel last
      x_train = x_train.transpose((0, 2, 3, 1))
      x_test = x_test.transpose((0, 2, 3, 1))
  
      with open(os.path.join(path, "train_y.bin"), "rb") as f_numpy:
          y_train_uint = np.fromfile(f_numpy, dtype=np.uint8)
          y_train = y_train_uint - 1
  
      with open(os.path.join(path, "test_y.bin"), "rb") as f_numpy:
          y_test_uint = np.fromfile(f_numpy, dtype=np.uint8)
          y_test = y_test_uint - 1
  
      x_train, y_train = preprocess(x_train, y_train)
      x_test, y_test = preprocess(x_test, y_test)
  
      return (x_train, y_train), (x_test, y_test), min_, max_
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import math
  import os
  import shutil
  import sys
  import tarfile
  import warnings
  import zipfile
  from functools import wraps
  from inspect import signature
  from typing import TYPE_CHECKING, Callable, List, Dict, Optional, Tuple, Union
  import numpy
  import six
  from scipy.special import gammainc
  from tqdm.auto import tqdm
  from art import config
label_desc: Use image node_id 30 for calling a global function with example usage: load_stl() and returns: x_train,  y_train,  x_test,  y_test,  min_,  max_