docstr: Decode the sequence of labels into a sequence of characters
  
  Parameters
  ----------
  l : list of int
      sequence of labels as predicted by the neural net
  
  Returns
  -------
      sequence of characters
  
  See Also
  --------
      encode
docstr_tok: ["Decode","the","sequence","of","labels","into","a","sequence","of","characters","Parameters","--","--","--","--","--","l",":","list","of","int","sequence","of","labels","as","predicted","by","the","neural","net","Returns","--","--","--","-","sequence","of","characters","See","Also","--","--","--","--","encode"]
code: def decode(self, l):
      """Decode the sequence of labels into a sequence of characters
  
      Parameters
      ----------
      l : list of int
          sequence of labels as predicted by the neural net
  
      Returns
      -------
          sequence of characters
  
      See Also
      --------
          encode
      """
      return [self.code2char[c] for c in l]
  
file_path: calamari/calamari_ocr/ocr/dataset/codec.py
imports: from dataclasses import dataclass, field
  from typing import List, TYPE_CHECKING, Iterator, Set
  from paiargparse import pai_dataclass, pai_meta
  from tfaip.util.multiprocessing.parallelmap import tqdm_wrapper
  from tfaip.data.pipeline.definitions import PipelineMode
  from calamari_ocr.utils import glob_all
label_desc: Use image node_id 7 for calling the Codec obj's underlying member method code with example usage: obj.decode(l) and returns: unknown