code: def test_with_converter(self):
      dataset = dummy_dataset.DummyDataset(mode=self.mode)
  
      def converter(*args, **kwargs):
          if self.mode is tuple:
              np.testing.assert_equal(args, tuple(dataset.data))
              self.assertEqual(kwargs, {})
          elif self.mode is dict:
              self.assertEqual(args, ())
              np.testing.assert_equal(
                  kwargs, dict(zip(("a", "b", "c"), dataset.data))
              )
          elif self.mode is None:
              np.testing.assert_equal(args, tuple(dataset.data))
              self.assertEqual(kwargs, {})
  
          return "converted"
  
      view = dataset.with_converter(converter)
      self.assertIsInstance(view, chainer.dataset.TabularDataset)
      self.assertEqual(len(view), len(dataset))
      self.assertEqual(view.keys, dataset.keys)
      self.assertEqual(view.mode, dataset.mode)
      self.assertEqual(
          view.get_examples(None, None),
          dataset.get_examples(None, None),
      )
      self.assertEqual(view.convert(view.fetch()), "converted")
  
file_path: chainer/tests/chainer_tests/dataset_tests/tabular_tests/test_with_converter.py
imports: import unittest
  import numpy
  import chainer
  from chainer import testing
  from chainer_tests.dataset_tests.tabular_tests import dummy_dataset
label_desc: Use image node_id 1 for calling the TestWithConverter obj's underlying member method code with example usage: obj.test_with_converter() and returns: str