code: def phase3(self):
      # build potential remaining edges and choose with rejection sampling
      potential_edges = combinations(self.remaining_degree, 2)
      # build auxiliary graph of potential edges not already in graph
      H = nx.Graph(
          [
              (u, v)
              for (u, v) in potential_edges
              if not self.graph.has_edge(u, v)
          ]
      )
      rng = self.rng
      while self.remaining_degree:
          if not self.suitable_edge():
              raise nx.NetworkXUnfeasible("no suitable edges left")
          while True:
              u, v = sorted(rng.choice(list(H.edges())))
              if rng.random() < self.q(u, v):
                  break
          if rng.random() < self.p(u, v):  # accept edge
              self.graph.add_edge(u, v)
              self.update_remaining(u, v, aux_graph=H)
  
imports: import heapq
  import math
  from itertools import chain, combinations, zip_longest
  from operator import itemgetter
  import networkx
  from networkx.utils import py_random_state, random_weighted_sample
label_desc: Use image node_id 9 for calling the DegreeSequenceRandomGraph obj's underlying member method code with example usage: obj.phase3() without return types