code: def test_call_iterates_over_data_forever(self):
      for test_instances in (self.instances, self.lazy_instances):
          generator = BasicIterator(batch_size=2)(test_instances)
          batches = [
              next(generator) for _ in range(18)
          ]  # going over the data 6 times
          # We just want to get the single-token array for the text field in the instance.
          instances = [
              tuple(instance.detach().cpu().numpy())
              for batch in batches
              for instance in batch["text"]["tokens"]
          ]
          assert len(instances) == 5 * 6
          self.assert_instances_are_correct(instances)
  
imports: from __future__ import absolute_import
  from collections import Counter
  from allennlp.common import Params
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Instance, Token, Vocabulary
  from allennlp.data.dataset_readers.dataset_reader import _LazyInstances
  from allennlp.data.fields import TextField
  from allennlp.data.iterators import BasicIterator
  from allennlp.data.token_indexers import SingleIdTokenIndexer
label_desc: Use image node_id 3 for calling the TestBasicIterator obj's underlying member method code with example usage: obj.test_call_iterates_over_data_forever() without return types