docstr: Make a list of size 2**n + 1 where an entry is a vertex
  incidence, each list element contains a list of indexes
  corresponding to that entries neighbors
docstr_tok: ["Make","a","list","of","size","2","*","*","n","+","1","where","an","entry","is","a","vertex","incidence",",","each","list","element","contains","a","list","of","indexes","corresponding","to","that","entries","neighbors"]
code: def graph_map(self):
      """Make a list of size 2**n + 1 where an entry is a vertex
      incidence, each list element contains a list of indexes
      corresponding to that entries neighbors"""
  
      self.graph = [[v2.index for v2 in v.nn] for v in self.C0()]
  
imports: import numpy
  import copy
label_desc: Use image node_id 8 for calling the Complex obj's underlying member method code with example usage: obj.graph_map() without return types