code: def test_csv_logger_remotefs():
      logger = CSVLogger(
          save_dir="memory://test_fit_csv_logger_remotefs"
      )
      fs, _ = fsspec.core.url_to_fs(
          "memory://test_fit_csv_logger_remotefs"
      )
      exp = logger.experiment
      exp.log_metrics({"loss": 0.1})
      exp.save()
      metrics_file = os.path.join(
          logger.log_dir, ExperimentWriter.NAME_METRICS_FILE
      )
      assert fs.isfile(metrics_file)
  
imports: import os
  from unittest.mock import MagicMock
  import fsspec
  import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.core.saving import load_hparams_from_yaml
  from lightning.pytorch.loggers import CSVLogger
  from lightning.pytorch.loggers.csv_logs import ExperimentWriter
  from tests_pytorch.helpers.datamodules import ClassifDataModule
  from tests_pytorch.helpers.runif import RunIf
  from tests_pytorch.helpers.simple_models import ClassificationModel
label_desc: Use image node_id 8 for calling a global function with example usage: test_csv_logger_remotefs() without return types