code: def test_arrow_tensor_array_slice(test_arr, dtype):
      # Test that ArrowTensorArray slicing works as expected.
      arr = np.array(test_arr, dtype=dtype)
      ata = ArrowTensorArray.from_numpy(arr)
      np.testing.assert_array_equal(ata.to_numpy(), arr)
      slice1 = ata.slice(0, 2)
      np.testing.assert_array_equal(slice1.to_numpy(), arr[0:2])
      np.testing.assert_array_equal(slice1[1], arr[1])
      slice2 = ata.slice(2, 2)
      np.testing.assert_array_equal(slice2.to_numpy(), arr[2:4])
      np.testing.assert_array_equal(slice2[1], arr[3])
  
imports: import itertools
  import numpy
  import pandas
  from packaging.version import parse
  import pyarrow
  import pytest
  from ray.air.util.tensor_extensions.arrow import ArrowTensorArray, ArrowTensorType, ArrowVariableShapedTensorArray, ArrowVariableShapedTensorType
  from ray.air.util.tensor_extensions.pandas import TensorArray, TensorDtype
  from ray.air.util.tensor_extensions.utils import create_ragged_ndarray
  from ray._private.utils import _get_pyarrow_version
label_desc: Use image node_id 22 for calling a global function with example usage: test_arrow_tensor_array_slice(test_arr, dtype) without return types