code: def test_tensorboard_log_hyperparams(tmp_path):
      logger = TensorBoardLogger(tmp_path)
      hparams = {
          "float": 0.3,
          "int": 1,
          "string": "abc",
          "bool": True,
          "dict": {"a": {"b": "c"}},
          "list": [1, 2, 3],
          "namespace": Namespace(foo=Namespace(bar="buzz")),
          "layer": torch.nn.BatchNorm1d,
          "tensor": torch.empty(2, 2, 2),
          "array": np.empty([2, 2, 2]),
      }
      logger.log_hyperparams(hparams)
  
imports: import logging
  import os
  from argparse import Namespace
  from unittest import mock
  from unittest.mock import Mock
  import numpy
  import pytest
  import torch
  from lightning.fabric.loggers import TensorBoardLogger
  from lightning.fabric.loggers.tensorboard import _TENSORBOARD_AVAILABLE
  from lightning.fabric.wrappers import _FabricModule
  from tests_fabric.test_fabric import BoringModel
label_desc: Use image node_id 9 for calling a global function with example usage: test_tensorboard_log_hyperparams(tmp_path) without return types