docstr: Parameters
  ----------
  corpus, ParsedCorpus
  
  Returns
  -------
  iter: [sentence1word1, ...], [sentence2word1, ...]
docstr_tok: ["Parameters","--","--","--","--","--","corpus",",","ParsedCorpus","Returns","--","--","--","-","iter",":","[","sentence1word1",",","...","]",",","[","sentence2word1",",","...","]"]
code: def get_sentences(cls, corpus):
      """
      Parameters
      ----------
      corpus, ParsedCorpus
  
      Returns
      -------
      iter: [sentence1word1, ...], [sentence2word1, ...]
      """
      # assert isinstance(corpus, ParsedCorpus)
      return itertools.chain(
          *[
              [
                  [
                      cls.get_token_format(t)
                      for t in sent
                      if not t.is_punct
                  ]
                  for sent in doc.sents
              ]
              for doc in corpus.get_parsed_docs()
          ]
      )
  
imports: import itertools
  import warnings
  from collections import Counter
  from scattertext.ParsedCorpus import ParsedCorpus
label_desc: Use image node_id 2 for calling the CorpusAdapterForGensim obj's underlying member method code with example usage: obj.get_sentences(cls, corpus) and returns: itertools