code: def numpy_cupy_array_less(
      err_msg="",
      verbose=True,
      name="xp",
      type_check=True,
      accept_error=False,
      sp_name=None,
      scipy_name=None,
  ):
      """Decorator that checks the CuPy result is less than NumPy result.
  
      Args:
           err_msg(str): The error message to be printed in case of failure.
           verbose(bool): If ``True``, the conflicting values are
               appended to the error message.
           name(str): Argument name whose value is either
               ``numpy`` or ``cupy`` module.
           type_check(bool): If ``True``, consistency of dtype is also checked.
           accept_error(bool, Exception or tuple of Exception): Specify
               acceptable errors. When both NumPy test and CuPy test raises the
               same type of errors, and the type of the errors is specified with
               this argument, the errors are ignored and not raised.
               If it is ``True`` all error types are acceptable.
               If it is ``False`` no error is acceptable.
           sp_name(str or None): Argument name whose value is either
               ``scipy.sparse`` or ``cupyx.scipy.sparse`` module. If ``None``, no
               argument is given for the modules.
           scipy_name(str or None): Argument name whose value is either ``scipy``
               or ``cupyx.scipy`` module. If ``None``, no argument is given for
               the modules.
  
      Decorated test fixture is required to return the smaller array
      when ``xp`` is ``cupy`` than the one when ``xp`` is ``numpy``.
  
      .. seealso:: :func:`cupy.testing.assert_array_less`
      """
  
      def check_func(x, y):
          _array.assert_array_less(x, y, err_msg, verbose)
  
      return _make_decorator(
          check_func,
          name,
          type_check,
          False,
          accept_error,
          sp_name,
          scipy_name,
      )
  
imports: import functools
  import inspect
  import os
  import random
  from typing import Tuple, Type
  import traceback
  import unittest
  import warnings
  import numpy
  import cupy
  from cupy.testing import _array
  from cupy.testing import _parameterized
  import cupyx
  import cupyx.scipy.sparse
  from cupy.testing._pytest_impl import is_available
label_desc: Use image node_id 24 for calling a global function with example usage: numpy_cupy_array_less(err_msg, verbose, name, type_check, accept_error, sp_name, scipy_name) and returns: _make_decorator