code: def _enhance_increasing_level_to_arg(level, _hparams):
      # the 'no change' level is 1.0, moving away from that towards 0. or 2.0
      # increases the enhancement blend range [0.1, 1.9]
      level = (level / _MAX_LEVEL) * 0.9
      level = 1.0 + _randomly_negate(level)
      return (level,)
  
imports: import math
  import random
  import re
  import numpy
  import PIL
  from classy_vision.dataset.transforms import register_transform
  from classy_vision.dataset.transforms.classy_transform import ClassyTransform
  from PIL import Image, ImageEnhance, ImageOps
label_desc: Use image node_id 23 for calling a global function with example usage: _enhance_increasing_level_to_arg(level, _hparams) and returns: level