code: def test_errors(self):
      # Test that passing a non-tuple (of data and length) to numericalize
      # with Field.include_lengths = True raises an error.
      with self.assertRaises(ValueError):
          self.write_test_ppid_dataset(data_format="tsv")
          question_field = data.Field(
              sequential=True, include_lengths=True
          )
          tsv_fields = [
              ("id", None),
              ("q1", question_field),
              ("q2", question_field),
              ("label", None),
          ]
          tsv_dataset = data.TabularDataset(
              path=self.test_ppid_dataset_path,
              format="tsv",
              fields=tsv_fields,
          )
          question_field.build_vocab(tsv_dataset)
          test_example_data = [
              ["When", "do", "you", "use", "シ", "instead", "of", "し?"],
              [
                  "What",
                  "is",
                  "2+2",
                  "<pad>",
                  "<pad>",
                  "<pad>",
                  "<pad>",
                  "<pad>",
              ],
              [
                  "Here",
                  "is",
                  "a",
                  "sentence",
                  "with",
                  "some",
                  "oovs",
                  "<pad>",
              ],
          ]
          question_field.numericalize(test_example_data, device=-1)
  
file_path: decanlp/text/test/data/test_field.py
imports: from __future__ import unicode_literals
  from collections import Counter
  from numpy.testing import assert_allclose
  import torch
  import torchtext.data
  import pytest
  from ..common.torchtext_test_case import TorchtextTestCase, verify_numericalized_example
label_desc: Use image node_id 10 for calling the TestField obj's underlying member method code with example usage: obj.test_errors() without return types