code: def generate_graph(words):
      G = nx.Graph(name="words")
      lookup = {c: lowercase.index(c) for c in lowercase}
  
      def edit_distance_one(word):
          for i in range(len(word)):
              left, c, right = word[0:i], word[i], word[i + 1 :]
              j = lookup[c]  # lowercase.index(c)
              for cc in lowercase[j + 1 :]:
                  yield left + cc + right
  
      candgen = (
          (word, cand)
          for word in sorted(words)
          for cand in edit_distance_one(word)
          if cand in words
      )
      G.add_nodes_from(words)
      for word, cand in candgen:
          G.add_edge(word, cand)
      return G
  
imports: import gzip
  from string import ascii_lowercase
  import matplotlib.pyplot
  import networkx
label_desc: Use image node_id 1 for calling a global function with example usage: generate_graph(words) and returns: G