code: def test_history_mixed_slicing(self, history, ref):
      losses = history[:, "batches", 0, "loss"]
  
      assert len(losses) == self.test_epochs
      assert losses == [epoch["batches"][0]["loss"] for epoch in ref]
  
      losses = history[0, "batches", :, "loss"]
      assert losses == [batch["loss"] for batch in ref[0]["batches"]]
  
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 16 for calling the TestHistory obj's underlying member method code with example usage: obj.test_history_mixed_slicing(history, ref) without return types