code: def set_rng_state(state):
      torch.set_rng_state(state["torch"])
      random.setstate(state["random"])
      if "numpy" in state:
          import numpy as np
  
          np.random.set_state(state["numpy"])
  
imports: import functools
  import math
  import numbers
  import random
  import sys
  import timeit
  import warnings
  from collections import defaultdict
  from contextlib import contextmanager
  from itertools import zip_longest
  import numpy
  import torch
  from pyro.poutine.util import site_is_subsample
label_desc: Use image node_id 3 for calling a global function with example usage: set_rng_state(state) without return types