code: def find_threshold_graph(G, create_using=None):
      """
      Returns a threshold subgraph that is close to largest in `G`.
  
      The threshold graph will contain the largest degree node in G.
  
      Parameters
      ----------
      G : NetworkX graph instance
          An instance of `Graph`, or `MultiDiGraph`
      create_using : NetworkX graph class or `None` (default), optional
          Type of graph to use when constructing the threshold graph.
          If `None`, infer the appropriate graph type from the input.
  
      Returns
      -------
      graph :
          A graph instance representing the threshold graph
  
      Examples
      --------
      >>> from networkx.algorithms.threshold import find_threshold_graph
      >>> G = nx.barbell_graph(3, 3)
      >>> T = find_threshold_graph(G)
      >>> T.nodes # may vary
      NodeView((7, 8, 5, 6))
  
      References
      ----------
      .. [1] Threshold graphs: https://en.wikipedia.org/wiki/Threshold_graph
      """
      return threshold_graph(find_creation_sequence(G), create_using)
  
imports: from math import sqrt
  import networkx
  from networkx.utils import py_random_state
label_desc: Use image node_id 10 for calling a global function with example usage: find_threshold_graph(G, create_using) and returns: threshold_graph