code: def test_longest_shape(self, input_param, expected_shape):
      input_data = np.random.randint(0, 2, size=[3, 4, 7, 10])
      input_param["size_mode"] = "longest"
      result = Resize(**input_param)(input_data)
      np.testing.assert_allclose(result.shape[1:], expected_shape)
  
      set_track_meta(False)
      result = Resize(**input_param)(input_data)
      self.assertNotIsInstance(result, MetaTensor)
      np.testing.assert_allclose(result.shape[1:], expected_shape)
      set_track_meta(True)
  
file_path: MONAI/tests/test_resize.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import skimage.transform
  import torch
  from parameterized import parameterized
  from monai.data import MetaTensor, set_track_meta
  from monai.transforms import Resize
  from tests.lazy_transforms_utils import test_resampler_lazy
  from tests.utils import TEST_NDARRAYS_ALL, NumpyImageTestCase2D, assert_allclose, is_tf32_env, pytorch_after
label_desc: Use image node_id 4 for calling the TestResize obj's underlying member method code with example usage: obj.test_longest_shape(input_param, expected_shape) without return types