code: def test_update_frequency_num_remaining_updates_greater_than_update_frequency(
      self, a
  ):
      trainer1 = self._train_with_condition(
          num_train_data=20,
          max_updates=None,
          max_epochs=2,
          update_frequency=3,
          batch_size=6,
      )
      self.assertEqual(trainer1.num_updates, 4)
  
      trainer2 = self._train_with_condition(
          num_train_data=20,
          max_updates=4,
          max_epochs=None,
          update_frequency=1,
          batch_size=18,
      )
      self.assertEqual(trainer2.num_updates, 4)
      self._compare_model_params(trainer1, trainer2)
  
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 1 for calling the TestTrainingLoop obj's underlying member method code with example usage: obj.test_update_frequency_num_remaining_updates_greater_than_update_frequency(a) without return types