class_docstr: Randomly choose to apply one transform from a collection of transforms
  
  e.g. to randomly apply EITHER 0-1 or -1-1 normalization to an input:
      >>> transform = RandomChoiceCompose([RangeNormalize(0,1),
                                           RangeNormalize(-1,1)])
      >>> x_norm = transform(x) # only one of the two normalizations is applied
  
  :param transforms: (list of transforms) to choose from at random
code: def __init__(self, transforms):
      self.transforms = transforms
  
imports: import os
  import random
  import math
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new RandomChoiceCompose object  with example: obj = RandomChoiceCompose(transforms)