code: def test_configuration_directed():
      # seeds = [671221681, 2403749451, 124433910, 672335939, 1193127215]
      seeds = [67]
      for seed in seeds:
          deg_seq = nx.random_powerlaw_tree_sequence(
              20, seed=seed, tries=5000
          )
          G = nx.DiGraph(nx.configuration_model(deg_seq, seed=seed))
          G.remove_edges_from(nx.selfloop_edges(G))
          _check_edge_connectivity(G)
  
imports: import itertools
  import pytest
  import networkx
  from networkx.algorithms.connectivity import EdgeComponentAuxGraph, bridge_components
  from networkx.algorithms.connectivity.edge_kcomponents import general_k_edge_subgraphs
  from networkx.utils import pairwise
label_desc: Use image node_id 25 for calling a global function with example usage: test_configuration_directed() without return types