code: def test_io_tensor_slice_multiple_dimension(
      fixture_lookup, io_tensor_fixture
  ):
      """test_io_tensor_slice_multiple_dimension"""
      args, func, expected, equal = fixture_lookup(io_tensor_fixture)
  
      io_tensor = func(args)
  
      # Test __getitem__, use 7 to partition dimension 0, 11 for dimension 1
      indices_0 = list(range(0, len(expected), 7))
      for start_0, stop_0 in list(
          zip(indices_0, indices_0[1:] + [len(expected)])
      ):
          indices_1 = list(range(0, len(expected[0]), 11))
          for start_1, stop_1 in list(
              zip(indices_1, indices_1[1:] + [len(expected[0])])
          ):
              assert equal(
                  io_tensor[start_0:stop_0, start_1:stop_1],
                  expected[start_0:stop_0, start_1:stop_1],
              )
  
imports: import os
  import shutil
  import tempfile
  import numpy
  import pytest
  import tensorflow
  import tensorflow_io
label_desc: Use image node_id 22 for calling a global function with example usage: test_io_tensor_slice_multiple_dimension(fixture_lookup, io_tensor_fixture) without return types