code: def test_random_partitioning():
      G = nx.complete_graph(5)
      _, (set1, set2) = maxcut.randomized_partitioning(G, seed=5)
      _is_valid_cut(G, set1, set2)
  
file_path: networkx/networkx/algorithms/approximation/tests/test_maxcut.py
imports: import random
  import pytest
  import networkx
  from networkx.algorithms.approximation import maxcut
label_desc: Use image node_id 4 for calling a global function with example usage: test_random_partitioning() without return types