code: def build_vocab(self, *args, vectors=None, cache=None, **kwargs):
      if cache is not None:
          cache = os.path.expanduser(cache)
      if vectors is not None:
          vectors = MatchingField._get_vector_data(vectors, cache)
      super(MatchingField, self).build_vocab(
          *args, vectors=vectors, **kwargs
      )
  
imports: import gzip
  import logging
  import os
  import shutil
  import tarfile
  import zipfile
  import nltk
  import six
  import fasttext
  import torch
  from torchtext.legacy import data, vocab
  from torchtext.utils import download_from_url
  from urllib.request import urlretrieve
label_desc: Use image node_id 5 for calling the MatchingField obj's underlying member method code with example usage: obj.build_vocab() without return types