code: def test_dlpack(value_type, np_type):
      if Version(np.__version__) < Version("1.24.0"):
          pytest.skip(
              "No dlpack support in numpy versions older than 1.22.0, "
              "strict keyword in assert_array_equal added in numpy version "
              "1.24.0"
          )
  
      expected = np.array([1, 2, 3], dtype=np_type)
      arr = pa.array(expected, type=value_type)
      check_dlpack_export(arr, expected)
  
      arr_sliced = arr.slice(1, 1)
      expected = np.array([2], dtype=np_type)
      check_dlpack_export(arr_sliced, expected)
  
      arr_sliced = arr.slice(0, 1)
      expected = np.array([1], dtype=np_type)
      check_dlpack_export(arr_sliced, expected)
  
      arr_sliced = arr.slice(1)
      expected = np.array([2, 3], dtype=np_type)
      check_dlpack_export(arr_sliced, expected)
  
      arr_zero = pa.array([], type=value_type)
      expected = np.array([], dtype=np_type)
      check_dlpack_export(arr_zero, expected)
  
file_path: arrow/python/pyarrow/tests/test_dlpack.py
imports: import ctypes
  from functools import wraps
  import pytest
  import numpy
  import pyarrow
  from pyarrow.vendored.version import Version
label_desc: Use image node_id 4 for calling a global function with example usage: test_dlpack(value_type, np_type) without return types