code: def test_history_retrieve_empty_list(
      self, value, history_cls, check_warn, recwarn
  ):
      h = history_cls()
      if hasattr(h, "store") and isinstance(value, np.ndarray):
          # DistributedHistory does not support numpy arrays because they
          # cannot be json serialized
          pytest.skip()
  
      h.new_epoch()
      h.record("foo", value)
      h.new_batch()
      h.record_batch("batch_foo", value)
  
      # Make sure we can access our object
      out = h[-1, "foo"]
      assert (out is value) or (out == value)
      out = h[-1, "batches", -1, "batch_foo"]
      assert (out is value) or (out == value)
  
      # There should be no warning about comparison to an empty ndarray
      if check_warn:
          assert not recwarn.list
  
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 30 for calling the TestHistory obj's underlying member method code with example usage: obj.test_history_retrieve_empty_list(value, history_cls, check_warn, recwarn) without return types