code: def test_init(self, spatial_dims, size, expected):
      test_filter = self.filter_class(
          spatial_dims=spatial_dims, size=size
      )
      torch.testing.assert_allclose(expected, test_filter.filter)
      self.assertIsInstance(test_filter, torch.nn.Module)
  
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks.layers import ApplyFilter, EllipticalFilter, LaplaceFilter, MeanFilter, SharpenFilter
label_desc: Use image node_id 1 for calling the _TestFilter obj's underlying member method code with example usage: obj.test_init(spatial_dims, size, expected) without return types