code: def test_subword_trec(self):
      TEXT = data.SubwordField()
      LABEL = data.Field(sequential=False)
      RAW = data.Field(sequential=False, use_vocab=False)
      (raw,) = TREC.splits(RAW, LABEL, train=None)
      (cooked,) = TREC.splits(TEXT, LABEL, train=None)
      LABEL.build_vocab(cooked)
      TEXT.build_vocab(cooked, max_size=100)
      TEXT.segment(cooked)
      print(cooked[0].text)
      batch = next(
          iter(data.Iterator(cooked, 1, shuffle=False, device=-1))
      )
      self.assertEqual(TEXT.reverse(batch.text.data)[0], raw[0].text)
  
imports: import unittest
  from torchtext import data
  from torchtext.datasets import TREC
label_desc: Use image node_id 1 for calling the TestSubword obj's underlying member method code with example usage: obj.test_subword_trec() without return types