code: def complement_edges(G):
      """Returns only the edges in the complement of G
  
      Parameters
      ----------
      G : NetworkX Graph
  
      Yields
      ------
      edge : tuple
          Edges in the complement of G
  
      Examples
      --------
      >>> G = nx.path_graph((1, 2, 3, 4))
      >>> sorted(complement_edges(G))
      [(1, 3), (1, 4), (2, 4)]
      >>> G = nx.path_graph((1, 2, 3, 4), nx.DiGraph())
      >>> sorted(complement_edges(G))
      [(1, 3), (1, 4), (2, 1), (2, 4), (3, 1), (3, 2), (4, 1), (4, 2), (4, 3)]
      >>> G = nx.complete_graph(1000)
      >>> sorted(complement_edges(G))
      []
      """
      G_adj = (
          G._adj
      )  # Store as a variable to eliminate attribute lookup
      if G.is_directed():
          for u, v in it.combinations(G.nodes(), 2):
              if v not in G_adj[u]:
                  yield (u, v)
              if u not in G_adj[v]:
                  yield (v, u)
      else:
          for u, v in it.combinations(G.nodes(), 2):
              if v not in G_adj[u]:
                  yield (u, v)
  
imports: import itertools
  import math
  from collections import defaultdict, namedtuple
  import networkx
  from networkx.utils import not_implemented_for, py_random_state
label_desc: Use image node_id 16 for calling a global function with example usage: complement_edges(G) without return types