code: def original_to_tanh(
      x_original: np.ndarray,
      clip_min: Union[float, np.ndarray],
      clip_max: Union[float, np.ndarray],
      tanh_smoother: float = 0.999999,
  ) -> np.ndarray:
      """
      Transform input from original to tanh space.
  
      :param x_original: An array with the input to be transformed.
      :param clip_min: Minimum clipping value.
      :param clip_max: Maximum clipping value.
      :param tanh_smoother: Scalar for multiplying arguments of arctanh to avoid division by zero.
      :return: An array holding the transformed input.
      """
      x_tanh = np.clip(x_original, clip_min, clip_max)
      x_tanh = (x_tanh - clip_min) / (clip_max - clip_min)
      x_tanh = np.arctanh(((x_tanh * 2) - 1) * tanh_smoother)
      return x_tanh
  
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 8 for calling a global function with example usage: original_to_tanh(x_original, clip_min, clip_max, tanh_smoother) and returns: x_tanh