code: def test_convert(self):
      dataset = dummy_dataset.DummyDataset(
          mode=self.mode, return_array=self.return_array
      )
      output = dataset.convert(dataset.fetch())
  
      if self.mode is tuple:
          expected = tuple(dataset.data)
      elif self.mode is dict:
          expected = dict(zip(("a", "b", "c"), dataset.data))
      elif self.mode is None:
          expected = dataset.data[0]
      np.testing.assert_equal(output, expected)
  
      if self.mode is dict:
          output = output.values()
      elif self.mode is None:
          output = (output,)
      for out in output:
          self.assertIsInstance(out, np.ndarray)
  
file_path: chainer/tests/chainer_tests/dataset_tests/tabular_tests/test_tabular_dataset.py
imports: import unittest
  import numpy
  from chainer import testing
  from chainer_tests.dataset_tests.tabular_tests import dummy_dataset
label_desc: Use image node_id 2 for calling the TestTabularDataset obj's underlying member method code with example usage: obj.test_convert() without return types