class_docstr: A vocabulary that maps tokens to ints (storing a vocabulary).
  
  Attributes:
      _token_count: A collections.Counter object holding the frequencies of tokens
          in the data used to build the Vocabulary.
      _token2id: A collections.defaultdict instance mapping token strings to
          numerical identifiers.
      _id2token: A list of token strings indexed by their numerical identifiers.
class_docstr_tok: ["A","vocabulary","that","maps","tokens","to","ints","(","storing","a","vocabulary",")",".","Attributes",":","_token_count",":","A","collections.Counter","object","holding","the","frequencies","of","tokens","in","the","data","used","to","build","the","Vocabulary",".","_token2id",":","A","collections.defaultdict","instance","mapping","token","strings","to","numerical","identifiers",".","_id2token",":","A","list","of","token","strings","indexed","by","their","numerical","identifiers","."]
docstr: token-id to token (string).
  
  Args:
      idx (int): token id.
  
  Returns:
      str: string of given token id.
docstr_tok: ["token-id","to","token","(","string",")",".","Args",":","idx","(","int",")",":","token","id",".","Returns",":","str",":","string","of","given","token","id","."]
code: def id_to_token(self, idx):
      """token-id to token (string).
  
      Args:
          idx (int): token id.
  
      Returns:
          str: string of given token id.
      """
      return self._id2token[idx]
  
imports: from ....imports import *
label_desc: Use image node_id 10 for calling the Vocabulary obj's underlying member method code with example usage: obj.id_to_token(idx) and returns: self