class_docstr: An NLTK interface to the VerbNet verb lexicon.
  
  From the VerbNet site: "VerbNet (VN) (Kipper-Schuler 2006) is the largest
  on-line verb lexicon currently available for English. It is a hierarchical
  domain-independent, broad-coverage verb lexicon with mappings to other
  lexical resources such as WordNet (Miller, 1990; Fellbaum, 1998), XTAG
  (XTAG Research Group, 2001), and FrameNet (Baker et al., 1998)."
  
  For details about VerbNet see:
  https://verbs.colorado.edu/~mpalmer/projects/verbnet.html
class_docstr_tok: ["An","NLTK","interface","to","the","VerbNet","verb","lexicon",".","From","the","VerbNet","site",":","``","VerbNet","(","VN",")","(","Kipper-Schuler","2006",")","is","the","largest","on-line","verb","lexicon","currently","available","for","English",".","It","is","a","hierarchical","domain-independent",",","broad-coverage","verb","lexicon","with","mappings","to","other","lexical","resources","such","as","WordNet","(","Miller",",","1990",";","Fellbaum",",","1998",")",",","XTAG","(","XTAG","Research","Group",",","2001",")",",","and","FrameNet","(","Baker","et","al.",",","1998",")",".","''","For","details","about","VerbNet","see",":","https",":","\/\/verbs.colorado.edu\/~mpalmer\/projects\/verbnet.html"]
docstr: Return a list of all wordnet identifiers that appear in any
  class, or in ``classid`` if specified.
docstr_tok: ["Return","a","list","of","all","wordnet","identifiers","that","appear","in","any","class",",","or","in","``","classid","``","if","specified","."]
code: def wordnetids(self, vnclass=None):
      """
      Return a list of all wordnet identifiers that appear in any
      class, or in ``classid`` if specified.
      """
      if vnclass is None:
          return sorted(self._wordnet_to_class.keys())
      else:
          # [xx] should this include subclass members?
          if isinstance(vnclass, str):
              vnclass = self.vnclass(vnclass)
          return sum(
              (
                  member.get("wn", "").split()
                  for member in vnclass.findall("MEMBERS/MEMBER")
              ),
              [],
          )
  
imports: import re
  import textwrap
  from collections import defaultdict
  from nltk.corpus.reader.xmldocs import XMLCorpusReader
label_desc: Use image node_id 3 for calling the VerbnetCorpusReader obj's underlying member method code with example usage: obj.wordnetids(vnclass) and returns: sorted, sum