code: def sample_from_iterable(x):
      perms = itertools.permutations(x)
      length = math.factorial(len(x))
      rand_ix = np.random.randint(min(length, 10000))
      for _ in range(rand_ix):
          _ = next(perms)
      return next(perms)
  
imports: import itertools
  import math
  from collections import defaultdict
  from hashlib import md5
  from typing import List, Optional, Set
  import attr
  import community
  import networkx
  import numpy
  from pyrdf2vec.graphs import KG, Vertex
  from pyrdf2vec.typings import Entities, EntityWalks, SWalk, Walk
  from pyrdf2vec.walkers import Walker
label_desc: Use image node_id 2 for calling a global function with example usage: sample_from_iterable(x) and returns: next