code: def __exit__(self, type, value, traceback):
      torch.set_rng_state(self.old_state["torch"])
      random.setstate(self.old_state["random"])
      if "numpy" in self.old_state:
          import numpy as np
  
          np.random.set_state(self.old_state["numpy"])
  
imports: import random
  import warnings
  import weakref
  from collections import OrderedDict
  import numpy
  import torch
  from pyro.distributions import validation_enabled
label_desc: Use image node_id 3 for calling the seed obj's underlying member method code with example usage: obj.__exit__(type, value, traceback) without return types