code: def test_ar1(self):
      my_nc_benchmark = self.load_ar1_benchmark()
      strategy = AR1(
          train_epochs=1, train_mb_size=10, eval_mb_size=10, rm_sz=20
      )
      run_strategy(my_nc_benchmark, strategy)
  
file_path: avalanche/tests/training/test_ar1.py
imports: import torch
  import unittest
  from sklearn.datasets import make_classification
  from sklearn.model_selection import train_test_split
  from torch.utils.data import TensorDataset
  from avalanche.benchmarks import nc_benchmark
  from avalanche.training.supervised import AR1
  from tests.training.test_strategy_utils import run_strategy
label_desc: Use image node_id 1 for calling the AR1Test obj's underlying member method code with example usage: obj.test_ar1() without return types