code: def test_configuration():
      # seeds = [2718183590, 2470619828, 1694705158, 3001036531, 2401251497]
      seeds = [1001, 1002, 1003, 1004]
      for seed in seeds:
          deg_seq = nx.random_powerlaw_tree_sequence(
              20, seed=seed, tries=5000
          )
          G = nx.Graph(nx.configuration_model(deg_seq, seed=seed))
          G.remove_edges_from(nx.selfloop_edges(G))
          _check_augmentations(G)
  
imports: import itertools
  import random
  import pytest
  import networkx
  from networkx.algorithms.connectivity import k_edge_augmentation
  from networkx.algorithms.connectivity.edge_augmentation import _unpack_available_edges, collapse, complement_edges, is_k_edge_connected, is_locally_k_edge_connected
  from networkx.utils import pairwise
label_desc: Use image node_id 15 for calling a global function with example usage: test_configuration() without return types