code: def test_update_frequency_correct_final_iteration(self, a):
      config = self._get_config(
          max_updates=2, max_epochs=None, update_frequency=2
      )
      trainer = get_mmf_trainer(config=config)
      trainer.load_datasets()
      trainer.training_loop()
      self.assertEqual(trainer.max_updates, 2)
      self.assertEqual(trainer.current_iteration, 4)
  
imports: import unittest
  from unittest.mock import MagicMock, patch
  import torch
  from mmf.common.registry import registry
  from mmf.utils.general import get_batch_size
  from tests.test_utils import SimpleModel, SimpleNaNLossModel
  from tests.trainers.test_trainer_mocks import TrainerTrainingLoopMock
  from tests.trainers.test_utils import add_model, add_optimizer, get_config_with_defaults, get_mmf_trainer
label_desc: Use image node_id 3 for calling the TestTrainingLoop obj's underlying member method code with example usage: obj.test_update_frequency_correct_final_iteration(a) without return types