class_docstr: factor type parameter
      
class_docstr_tok: ["factor","type","parameter"]
code: def __repr__(self):
      string = "["
      for factor in self.partition:
          string += factor.__repr__() + " "
      string = string[:-1] + "]"
  
      return string
  
imports: import math
  import logging
  import copy
  import random
  import numpy
  from itertools import permutations, combinations
  import nni
  from nni.tuner import Tuner
label_desc: Use image node_id 8 for calling the Factor obj's underlying member method code with example usage: obj.__repr__() and returns: string