code: def test_sit_single_dataset_reproducibility_data(self):
      mnist_train = MNIST(
          root=default_dataset_location("mnist"),
          train=True,
          download=True,
      )
      mnist_test = MNIST(
          root=default_dataset_location("mnist"),
          train=False,
          download=True,
      )
      nc_benchmark_ref = nc_benchmark(
          mnist_train,
          mnist_test,
          5,
          task_labels=False,
          shuffle=True,
          seed=5678,
      )
  
      my_nc_benchmark = nc_benchmark(
          mnist_train,
          mnist_test,
          -1,
          task_labels=False,
          reproducibility_data=nc_benchmark_ref.get_reproducibility_data(),
      )
  
      self.assertEqual(
          nc_benchmark_ref.train_exps_patterns_assignment,
          my_nc_benchmark.train_exps_patterns_assignment,
      )
  
      self.assertEqual(
          nc_benchmark_ref.test_exps_patterns_assignment,
          my_nc_benchmark.test_exps_patterns_assignment,
      )
  
imports: import random
  import unittest
  from PIL.Image import Image
  from torch import Tensor
  from torchvision.datasets import MNIST
  from torchvision.transforms import ToTensor
  from avalanche.benchmarks import nc_benchmark, ClassificationStream
  from avalanche.benchmarks.datasets import default_dataset_location
  from avalanche.benchmarks.scenarios.deprecated.new_classes import NCExperience
  from avalanche.benchmarks.scenarios.deprecated.new_classes.nc_utils import make_nc_transformation_subset
  from avalanche.benchmarks.utils import _taskaware_classification_subset, _make_taskaware_classification_dataset
  from tests.unit_tests_utils import DummyImageDataset
label_desc: Use image node_id 6 for calling the SITTests obj's underlying member method code with example usage: obj.test_sit_single_dataset_reproducibility_data() without return types