code: def test_context(
      self,
      tmp_path: pathlib.Path,
      lr_scheduler_step_mode,
  ) -> None:
      tensorboard_path = tmp_path.joinpath("tensorboard")
  
      hparams = self.hparams.copy()
      hparams["lr_scheduler_step_mode"] = lr_scheduler_step_mode
      hparams["global_batch_size"] = 64
  
      _, controller = pytorch_utils.create_trial_and_trial_controller(
          trial_class=pytorch_onevar_model.OneVarTrialAccessContext,
          hparams=hparams,
          trial_seed=self.trial_seed,
          max_batches=1,
          min_validation_batches=1,
          min_checkpoint_batches=sys.maxsize,
          tensorboard_path=tensorboard_path,
      )
      controller.run()
  
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 13 for calling the TestPyTorchTrial obj's underlying member method code with example usage: obj.test_context(tmp_path, lr_scheduler_step_mode) without return types