class_docstr: BytePairEncoder trains byte pair encoding and
  encodes words using trained encoding
class_docstr_tok: ["BytePairEncoder","trains","byte","pair","encoding","and","encodes","words","using","trained","encoding"]
docstr: Decodes sequence of token ids into sequence of words.
  
  :param token_ids: input sequence of token ids.
  :type token_ids: array-like of int.
  
  :return: sequence of words .
  :rtype: list of str.
docstr_tok: ["Decodes","sequence","of","token","ids","into","sequence","of","words",".",":","param","token_ids",":","input","sequence","of","token","ids",".",":","type","token_ids",":","array-like","of","int",".",":","return",":","sequence","of","words",".",":","rtype",":","list","of","str","."]
code: def decode(self, token_ids: tp.List[int]) -> tp.List[str]:
      """Decodes sequence of token ids into sequence of words.
  
      :param token_ids: input sequence of token ids.
      :type token_ids: array-like of int.
  
      :return: sequence of words .
      :rtype: list of str.
      """
      return self._internal.decode(token_ids)
  
file_path: neoml/NeoML/Python/neoml/BytePairEncoder.py
imports: import neoml.PythonWrapper
  import typing
label_desc: Use image node_id 6 for calling the BytePairEncoder obj's underlying member method code with example usage: obj.decode(token_ids) and returns: self