code: def least_likely_class(
      x: np.ndarray, classifier: "CLASSIFIER_TYPE"
  ) -> np.ndarray:
      """
      Compute the least likely class predictions for sample `x`. This strategy for choosing attack targets was used in
      (Kurakin et al., 2016).
  
      | Paper link: https://arxiv.org/abs/1607.02533
  
      :param x: A data sample of shape accepted by `classifier`.
      :param classifier: The classifier used for computing predictions.
      :return: Least-likely class predicted by `classifier` for sample `x` in one-hot encoding.
      """
      return to_categorical(
          np.argmin(classifier.predict(x), axis=1),
          nb_classes=classifier.nb_classes,
      )
  
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 15 for calling a global function with example usage: least_likely_class(x, classifier) and returns: to_categorical