code: def test_history_retrieve_multiple_values(self, history, ref):
      total_loss_0_to_1 = history[0:1, "total_loss"]
      assert total_loss_0_to_1 == [n["total_loss"] for n in ref[0:1]]
  
imports: import pickle
  import time
  import multiprocessing
  from functools import partial
  import numpy
  import pytest
  import torch
  from torch.distributed import TCPStore
  from sklearn.datasets import make_classification
label_desc: Use image node_id 13 for calling the TestHistory obj's underlying member method code with example usage: obj.test_history_retrieve_multiple_values(history, ref) without return types