code: def test_make_fields_1(self):
      path = os.path.join(test_dir_path, "test_datasets")
      a_dataset = "sample_table_large.csv"
      with io.open(
          os.path.expanduser(os.path.join(path, a_dataset)),
          encoding="utf8",
      ) as f:
          header = next(unicode_csv_reader(f))
      self.assertEqual(
          header,
          [
              "_id",
              "ltable_id",
              "rtable_id",
              "label",
              "ltable_Song_Name",
              "ltable_Artist_Name",
              "ltable_Price",
              "ltable_Released",
              "rtable_Song_Name",
              "rtable_Artist_Name",
              "rtable_Price",
              "rtable_Released",
          ],
      )
      id_attr = "_id"
      label_attr = "label"
      fields = _make_fields(
          header,
          id_attr,
          label_attr,
          ["ltable_id", "rtable_id"],
          True,
          "nltk",
          True,
      )
      self.assertEqual(len(fields), 12)
      counter = {}
      for tup in fields:
          if tup[1] not in counter:
              counter[tup[1]] = 0
          counter[tup[1]] += 1
      self.assertEqual(sorted(list(counter.values())), [1, 1, 2, 8])
  
imports: import io
  import os
  import shutil
  import unittest
  from test import test_dir_path
  from nose.tools import *
  from deepmatcher.data.field import FastText
  from deepmatcher.data.process import _check_header, _make_fields, process, process_unlabeled
  from torchtext.utils import unicode_csv_reader
  from deepmatcher import MatchingModel
  from urllib.parse import urljoin
  from urllib.request import pathname2url
label_desc: Use image node_id 1 for calling the MakeFieldsTestCases obj's underlying member method code with example usage: obj.test_make_fields_1() without return types