code: def pick(
      self, logits, idxes, target_word, n=1, include_punctuation=False
  ):
      candidate_ids, candidate_probas = self.prob_multinomial(
          logits, n=n * 10
      )
      candidate_ids = [
          idxes[candidate_id] for candidate_id in candidate_ids
      ]
      results = self.get_candidates(
          candidate_ids,
          candidate_probas,
          target_word,
          n,
          include_punctuation,
      )
  
      return results
  
imports: import numpy
  import string
  import nlpaug.util.selection.filtering
label_desc: Use image node_id 19 for calling the LanguageModels obj's underlying member method code with example usage: obj.pick(logits, idxes, target_word, n, include_punctuation) and returns: results