code: def strategy_largest_first(G, colors):
      """Returns a list of the nodes of ``G`` in decreasing order by
      degree.
  
      ``G`` is a NetworkX graph. ``colors`` is ignored.
  
      """
      return sorted(G, key=G.degree, reverse=True)
  
imports: import itertools
  from collections import defaultdict, deque
  import networkx
  from networkx.utils import arbitrary_element, py_random_state
label_desc: Use image node_id 1 for calling a global function with example usage: strategy_largest_first(G, colors) and returns: sorted