code: def test_checkpointing_and_restoring(
      self, tmp_path: pathlib.Path
  ) -> None:
      updated_hparams = {
          "lr_scheduler_step_mode": pytorch.LRScheduler.StepMode.STEP_EVERY_BATCH.value,
          **self.hparams,
      }
      self.checkpoint_and_check_metrics(
          pytorch_onevar_model.OneVarTrialWithLRScheduler,
          updated_hparams,
          tmp_path,
          (100, 100),
      )
  
imports: import contextlib
  import importlib
  import io
  import os
  import pathlib
  import sys
  import typing
  from unittest import mock
  import numpy
  import pytest
  import torch
  from _pytest import monkeypatch
  from torch.distributed import launcher
  import determined
  from determined import pytorch
  from tests.experiment import pytorch_utils, utils
  from tests.experiment.fixtures import pytorch_onevar_model
label_desc: Use image node_id 5 for calling the TestPyTorchTrial obj's underlying member method code with example usage: obj.test_checkpointing_and_restoring(tmp_path) without return types