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 __repr__(self):
      s = ""
      for i in range(len(self._transforms)):
          s += repr(self._transforms[i])
          if i < len(self._transforms) - 1:
              s += ", "
      return s
  
imports: import re
  import math
  import numpy
label_desc: Use image node_id 6 for calling the Transform obj's underlying member method code with example usage: obj.__repr__() and returns: s