code: def test_large_dataset(self):
      # Check performance of __get_item__ with large size of dataset
      ds = SimpleDataset(list(numpy.arange(1000000)))
      self.assertEqual(ds[3453], ds.values[3453])
      self.assertEqual(ds[:], ds.values)
      self.assertEqual(ds[2:987654:7], ds.values[2:987654:7])
      self.assertEqual(ds[::-3], ds.values[::-3])
      for i in range(100):
          self.assertEqual(
              ds[i * 4096 : (i + 1) * 4096],
              ds.values[i * 4096 : (i + 1) * 4096],
          )
  
file_path: chainer/tests/chainer_tests/dataset_tests/test_dataset_mixin.py
imports: import unittest
  import numpy
  from chainer import dataset
  from chainer import testing
label_desc: Use image node_id 5 for calling the TestDatasetMixin obj's underlying member method code with example usage: obj.test_large_dataset() without return types