code: def _wraps_partial_xp(wrapped, name, sp_name, scipy_name):
      names = [name, sp_name, scipy_name]
      names = [n for n in names if n is not None]
      return _wraps_partial(wrapped, *names)
  
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 13 for calling a global function with example usage: _wraps_partial_xp(wrapped, name, sp_name, scipy_name) and returns: _wraps_partial