code: def test_converter(
      self, data_shape, filenames, expected_shape, meta_shape
  ):
      test_image = np.random.randint(0, 256, size=data_shape)
      with tempfile.TemporaryDirectory() as tempdir:
          for i, name in enumerate(filenames):
              filenames[i] = os.path.join(tempdir, name)
              Image.fromarray(test_image.astype("uint8")).save(
                  filenames[i]
              )
          reader = PILReader(
              converter=lambda image: image.convert("LA")
          )
          result = reader.get_data(reader.read(filenames, mode="r"))
          self.assertEqual(
              result[1]["format"], "none"
          )  # project-monai/monai issue#5251
          # load image by PIL and compare the result
          test_image = np.asarray(
              Image.open(filenames[0]).convert("LA")
          )
  
      self.assertTupleEqual(
          tuple(result[1]["spatial_shape"]), meta_shape
      )
      self.assertTupleEqual(result[0].shape, expected_shape)
      test_image = np.moveaxis(test_image, 0, 1)
      np.testing.assert_allclose(result[0], test_image)
  
file_path: MONAI/tests/test_pil_reader.py
imports: from __future__ import annotations
  import os
  import tempfile
  import unittest
  import numpy
  from parameterized import parameterized
  from PIL import Image
  from monai.data import PILReader
label_desc: Use image node_id 2 for calling the TestPNGReader obj's underlying member method code with example usage: obj.test_converter(data_shape, filenames, expected_shape, meta_shape) without return types