class_docstr: Represents a qualified name.
class_docstr_tok: ["Represents","a","qualified","name","."]
docstr: Returns all the symbols (simple or composite) that own this QN.
  
  In other words, if this symbol was modified, the symbols in the owner set
  may also be affected.
  
  Examples:
    'a.b[c.d]' has two owners, 'a' and 'a.b'
docstr_tok: ["Returns","all","the","symbols","(","simple","or","composite",")","that","own","this","QN",".","In","other","words",",","if","this","symbol","was","modified",",","the","symbols","in","the","owner","set","may","also","be","affected",".","Examples",":","'","a.b","[","c.d","]","'","has","two","owners",",","'","a","'","and","'","a.b","'"]
code: def owner_set(self):
      """Returns all the symbols (simple or composite) that own this QN.
  
      In other words, if this symbol was modified, the symbols in the owner set
      may also be affected.
  
      Examples:
        'a.b[c.d]' has two owners, 'a' and 'a.b'
      """
      owners = set()
      if self.has_attr() or self.has_subscript():
          owners.add(self.parent)
          owners.update(self.parent.owner_set)
      return owners
  
imports: import collections
  import gast
  from tensorflow.python.autograph.pyct import anno
  from tensorflow.python.autograph.pyct import parser
label_desc: Use image node_id 9 for calling the QN obj's underlying member method code with example usage: obj.owner_set() and returns: owners