code: def test_is_k_edge_connected():
      G = nx.barbell_graph(10, 0)
      assert is_k_edge_connected(G, k=1)
      assert not is_k_edge_connected(G, k=2)
  
      G = nx.Graph()
      G.add_nodes_from([5, 15])
      assert not is_k_edge_connected(G, k=1)
      assert not is_k_edge_connected(G, k=2)
  
      G = nx.complete_graph(5)
      assert is_k_edge_connected(G, k=1)
      assert is_k_edge_connected(G, k=2)
      assert is_k_edge_connected(G, k=3)
      assert is_k_edge_connected(G, k=4)
  
      G = nx.compose(
          nx.complete_graph([0, 1, 2]), nx.complete_graph([3, 4, 5])
      )
      assert not is_k_edge_connected(G, k=1)
      assert not is_k_edge_connected(G, k=2)
      assert not is_k_edge_connected(G, k=3)
  
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 4 for calling a global function with example usage: test_is_k_edge_connected() without return types