code: def _assert_is_unique_and_int(self, iterable):
      uniques = set()
      n_elements = len(iterable)
      for x in iterable:
          self.assertIsInstance(x, int)
          uniques.add(x)
      self.assertEqual(n_elements, len(uniques))
  
file_path: avalanche/tests/benchmarks/scenarios/test_experience_decorators.py
imports: import unittest
  import torch
  from avalanche.benchmarks import benchmark_from_datasets, EagerCLStream, CLScenario
  from avalanche.benchmarks import DatasetExperience
  from avalanche.benchmarks.scenarios.task_aware import with_task_labels
  from avalanche.benchmarks.scenarios.supervised import with_classes_timeline
  from avalanche.benchmarks.utils import _make_taskaware_tensor_classification_dataset
label_desc: Use image node_id 1 for calling the ExperienceDecoratorTests obj's underlying member method code with example usage: obj._assert_is_unique_and_int(iterable) without return types