code: def test_training_sampler_seed(self):
      seed_all_rng(42)
      sampler = TrainingSampler(30)
      data = list(itertools.islice(sampler, 65))
  
      seed_all_rng(42)
      sampler = TrainingSampler(30)
      seed_all_rng(999)  # should be ineffective
      data2 = list(itertools.islice(sampler, 65))
      self.assertEqual(data, data2)
  
imports: import itertools
  import math
  import operator
  import unittest
  import torch
  from torch.utils import data
  from torch.utils.data.sampler import SequentialSampler
  from detectron2.data.build import worker_init_reset_seed
  from detectron2.data.common import DatasetFromList, ToIterableDataset
  from detectron2.data.samplers import GroupedBatchSampler, InferenceSampler, RepeatFactorTrainingSampler, TrainingSampler
  from detectron2.utils.env import seed_all_rng
label_desc: Use image node_id 2 for calling the TestSamplerDeterministic obj's underlying member method code with example usage: obj.test_training_sampler_seed() without return types