class_docstr: factor type parameter
      
class_docstr_tok: ["factor","type","parameter"]
code: def __init__(self, value, mutate_rate):
      self.product, self.num = value
      self.mutate_rate = mutate_rate
      self.all_partitions = self._get_all_partitions(
          self.product, self.num
      )
      self.partition = random.choice(self.all_partitions)
  
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 1 to create a new Factor object from inherited base classes: Parameter with example: obj = Factor(value, mutate_rate)