class_docstr: Transformation that simulate ocr error by random values.
class_docstr_tok: ["Transformation","that","simulate","ocr","error","by","random","values","."]
code: def skip_aug(self, tokens, mask, **kwargs):
      remain_idxes = self.pre_skip_aug(tokens, mask)
      token_idxes = []
  
      for idx in remain_idxes:
          for char in tokens[idx]:
              if (
                  char in self.rules.rules
                  and len(self.rules.predict(char)) > 0
              ):
                  token_idxes.append(idx)
                  break
  
      return token_idxes
  
file_path: textflint/textflint/generation/transformation/UT/ocr.py
imports: import random
  from ...transformation import WordSubstitute
label_desc: Use image node_id 3 for calling the Ocr obj's underlying member method code with example usage: obj.skip_aug(tokens, mask) and returns: token_idxes