code: def test_type_shape(self, input_data, expected_type, expected_shape):
      result = list_data_collate(input_data)
      self.assertIsInstance(result, expected_type)
      if isinstance(result, dict):
          image = result["image"]
          label = result["label"]
      else:
          image = result[0]
          label = result[1]
      self.assertEqual(image.shape, expected_shape)
      self.assertEqual(label.shape, expected_shape)
      self.assertTrue(isinstance(label, MetaTensor))
      self.assertTrue(label.is_batch, True)
  
file_path: MONAI/tests/test_list_data_collate.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.data import MetaTensor, list_data_collate
label_desc: Use image node_id 1 for calling the TestListDataCollate obj's underlying member method code with example usage: obj.test_type_shape(input_data, expected_type, expected_shape) without return types