code: def test_saved_content(self):
      with tempfile.TemporaryDirectory() as tempdir:
          saver = CSVSaver(
              output_dir=tempdir,
              filename="predictions.csv",
              delimiter="\t",
          )
          meta_data = {
              "filename_or_obj": ["testfile" + str(i) for i in range(8)]
          }
          saver.save_batch(torch.zeros(8), meta_data)
          saver.finalize()
          filepath = os.path.join(tempdir, "predictions.csv")
          self.assertTrue(os.path.exists(filepath))
          with open(filepath) as f:
              reader = csv.reader(f, delimiter="\t")
              i = 0
              for row in reader:
                  self.assertEqual(row[0], "testfile" + str(i))
                  self.assertEqual(
                      np.array(row[1:]).astype(np.float32), 0.0
                  )
                  i += 1
              self.assertEqual(i, 8)
  
file_path: MONAI/tests/test_csv_saver.py
imports: from __future__ import annotations
  import csv
  import os
  import tempfile
  import unittest
  import numpy
  import torch
  from monai.data import CSVSaver
label_desc: Use image node_id 1 for calling the TestCSVSaver obj's underlying member method code with example usage: obj.test_saved_content() without return types