class_docstr: factor type parameter
      
class_docstr_tok: ["factor","type","parameter"]
code: def _step(self, action):
      self.partition[action[0]] = int(
          self.partition[action[0]] / action[2]
      )
      self.partition[action[1]] = int(
          self.partition[action[1]] * action[2]
      )
  
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 6 for calling the Factor obj's underlying member method code with example usage: obj._step(action) without return types