class_docstr: Transforms an input by replacing its words with antonym provided by WordNet.
  Download nltk_data before running.
  
  Just support adj pos word antonym replace.
docstr: Skip non adj word.
  
  :param list tokens: word list
  :param list mask: mask list
  :param list|None pos:
  :return adj_indices: list of allowed indices.
docstr_tok: ["Skip","non","adj","word",".",":","param","list","tokens",":","word","list",":","param","list","mask",":","mask","list",":","param","list|None","pos",":",":","return","adj_indices",":","list","of","allowed","indices","."]
code: def skip_aug(self, tokens, mask, pos=None):
      r"""
      Skip non adj word.
  
      :param list tokens: word list
      :param list mask: mask list
      :param list|None pos:
      :return adj_indices: list of allowed indices.
  
      """
      nor_pos = []
      adj_indices = []
  
      for pos_tag in pos:
          nor_pos.append(self.processor.normalize_pos(pos_tag))
  
      indices = self.pre_skip_aug(tokens, mask)
  
      for index in indices:
          if nor_pos[index] == "a":
              adj_indices.append(index)
  
      return adj_indices
  
imports: from ...transformation import WordSubstitute
label_desc: Use image node_id 4 for calling the SwapAntWordNet obj's underlying member method code with example usage: obj.skip_aug(tokens, mask, pos) and returns: adj_indices