code: def _decreasing_to_arg(
      level: int, params: Tuple[float, float]
  ) -> Tuple[float]:
      """
      Convert level to transform magnitude. This assumes transform magnitude decreases
      linearly with level.
  
      Args:
          level (int): Level value.
          params (Tuple[float, float]): Params contains two values: 1) Base transform
              magnitude when level is 0; 2) Maxmimum decreasing in transform magnitude
              when level is at maxmimum.
      """
      magnitude = (level / _AUGMENTATION_MAX_LEVEL) * params[1]
      return (params[0] - magnitude,)
  
imports: from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import torch
  import torchvision
  from torch import Tensor
  from torchvision.transforms.functional import InterpolationMode
label_desc: Use image node_id 20 for calling a global function with example usage: _decreasing_to_arg(level, params) and returns: unknown