code: def run_strategy(benchmark, cl_strategy):
      print("Starting experiment...")
      cl_strategy.evaluator.loggers = [TextLogger(sys.stdout)]
      results = []
      for exp_idx, train_batch_info in enumerate(
          benchmark.train_stream
      ):
          print("Start of experience ", exp_idx)
  
          cl_strategy.train(train_batch_info, num_workers=0)
          print("Training completed")
  
          print("Computing accuracy on the current test set")
          results.append(cl_strategy.eval(benchmark.test_stream[:]))
  
label_desc: Use image node_id 1 for calling a global function with example usage: run_strategy(benchmark, cl_strategy) without return types