code: def test_iterator_dict_type(self):
      dataset = [{i: numpy.zeros((10,)) + i} for i in range(6)]
      it = iterators.MultithreadIterator(dataset, 2, **self.options)
      for i in range(3):
          self.assertEqual(it.epoch, i)
          self.assertAlmostEqual(it.epoch_detail, i)
          if i == 0:
              self.assertIsNone(it.previous_epoch_detail)
          else:
              self.assertAlmostEqual(
                  it.previous_epoch_detail, i - 2 / 6
              )
          batches = {}
          for j in range(3):
              batch = it.next()
              self.assertEqual(len(batch), 2)
              if j != 2:
                  self.assertFalse(it.is_new_epoch)
              else:
                  self.assertTrue(it.is_new_epoch)
              self.assertAlmostEqual(
                  it.epoch_detail, (3 * i + j + 1) * 2 / 6
              )
              self.assertAlmostEqual(
                  it.previous_epoch_detail, (3 * i + j) * 2 / 6
              )
              for x in batch:
                  self.assertIsInstance(x, dict)
                  k = tuple(x)[0]
                  v = x[k]
                  self.assertIsInstance(v, numpy.ndarray)
                  batches[k] = v
  
          self.assertEqual(len(batches), len(dataset))
          for k, v in six.iteritems(batches):
              x = dataset[k][tuple(dataset[k])[0]]
              numpy.testing.assert_allclose(x, v)
  
imports: from __future__ import division
  import copy
  import unittest
  import numpy
  import six
  from chainer import iterators
  from chainer import serializers
  from chainer import testing
label_desc: Use image node_id 5 for calling the TestMultithreadIterator obj's underlying member method code with example usage: obj.test_iterator_dict_type() without return types