code: def setUp(cls) -> None:
      cls.model = SimpleMLP(input_size=6, hidden_size=10)
      cls.optimizer = SGD(cls.model.parameters(), lr=1e-3)
      cls.criterion = CrossEntropyLoss()
  
      cls.benchmark = get_fast_benchmark()
  
file_path: avalanche/tests/training/test_stream_completeness.py
imports: import unittest
  from torch.optim import SGD
  from torch.nn import CrossEntropyLoss
  from avalanche.models import SimpleMLP
  from avalanche.training.plugins import EvaluationPlugin
  from avalanche.training.supervised import Naive
  from avalanche.evaluation.metrics import accuracy_metrics
  from tests.unit_tests_utils import get_fast_benchmark
label_desc: Use image node_id 1 for calling the TestStreamCompleteness obj's underlying member method code with example usage: obj.setUp(cls) without return types