code: def test_rolling_seed_aligner(self):
      RNGManager.set_random_seeds(4321)
  
      with RollingSeedContext():
          RNGManager.set_random_seeds(1234 + DistributedHelper.rank)
          random.randint(0, 2**64 - 1)
  
      final_value = random.randint(0, 2**64 - 1)
      self.assertEqual(14732185405572191734, final_value)
  
imports: import os
  import random
  import shutil
  import tempfile
  import time
  import unittest
  import numpy
  import torch
  import torch.distributed
  from torch.nn import Module
  from torch.nn.parallel import DistributedDataParallel
  from avalanche.benchmarks.scenarios.deprecated.generators import dataset_benchmark
  from avalanche.benchmarks.utils.classification_dataset import _make_taskaware_tensor_classification_dataset
  from avalanche.distributed import DistributedHelper
  from avalanche.distributed.distributed_helper import RollingSeedContext, BroadcastSeedContext
  from avalanche.models import SimpleMLP, as_multitask
  from avalanche.models.utils import avalanche_model_adaptation
  from avalanche.training.determinism.rng_manager import RNGManager
  from tests.distributed.distributed_test_utils import check_skip_distributed_slow_test, check_skip_distributed_test, suppress_dst_tests_output, common_dst_tests_setup
label_desc: Use image node_id 16 for calling the DistributedHelperTests obj's underlying member method code with example usage: obj.test_rolling_seed_aligner() without return types