class_docstr: A Transform is defined as a list of transform definitions, which are
  applied in the order provided. The individual transform definitions are
  separated by whitespace and/or a comma.
class_docstr_tok: ["A","Transform","is","defined","as","a","list","of","transform","definitions",",","which","are","applied","in","the","order","provided",".","The","individual","transform","definitions","are","separated","by","whitespace","and\/or","a","comma","."]
code: def __add__(self, other):
      T = Transform()
      T._transforms.extend(self._transforms)
      T._transforms.extend(other._transforms)
      return T
  
imports: import re
  import math
  import numpy
label_desc: Use image node_id 2 for calling the Transform obj's underlying member method code with example usage: obj.__add__(other) and returns: T