code: def join(G, u, v, theta, alpha, metric):
      """Returns ``True`` if and only if the nodes whose attributes are
      ``du`` and ``dv`` should be joined, according to the threshold
      condition for geographical threshold graphs.
  
      ``G`` is an undirected NetworkX graph, and ``u`` and ``v`` are nodes
      in that graph. The nodes must have node attributes ``'pos'`` and
      ``'weight'``.
  
      ``metric`` is a distance metric.
      """
      du, dv = G.nodes[u], G.nodes[v]
      u_pos, v_pos = du["pos"], dv["pos"]
      u_weight, v_weight = du["weight"], dv["weight"]
      return (u_weight + v_weight) * metric(
          u_pos, v_pos
      ) ** alpha >= theta
  
imports: import math
  import random
  from itertools import combinations
  import pytest
  import networkx
label_desc: Use image node_id 2 for calling a global function with example usage: join(G, u, v, theta, alpha, metric) and returns: unknown