class_docstr: factor type parameter
      
class_docstr_tok: ["factor","type","parameter"]
code: def __init__(self, value):
      self.product, self.num = value
      self.partition = [1] * self.num
      self.partition[0] = self.product
  
imports: import math
  import random
  import logging
  import copy
  import torch
  from torch import optim
  from torch import nn
  import torch.nn.functional
  import numpy
  import nni
  from nni.tuner import Tuner
label_desc: Use image node_id 1 to create a new Factor object from inherited base classes: object with example: obj = Factor(value)