code: def grey_closing(
      input,
      size=None,
      footprint=None,
      structure=None,
      output=None,
      mode="reflect",
      cval=0.0,
      origin=0,
  ):
      """Calculates a multi-dimensional greyscale closing.
  
      Args:
          input (cupy.ndarray): The input array.
          size (tuple of ints): Shape of a flat and full structuring element used
              for the greyscale closing. Optional if ``footprint`` or
              ``structure`` is provided.
          footprint (array of ints): Positions of non-infinite elements of a flat
              structuring element used for greyscale closing. Non-zero values
              give the set of neighbors of the center over which closing is
              chosen.
          structure (array of ints): Structuring element used for the greyscale
              closing. ``structure`` may be a non-flat structuring element.
          output (cupy.ndarray, dtype or None): The array in which to place the
              output.
          mode (str): The array borders are handled according to the given mode
              (``'reflect'``, ``'constant'``, ``'nearest'``, ``'mirror'``,
              ``'wrap'``). Default is ``'reflect'``.
          cval (scalar): Value to fill past edges of input if mode is
              ``constant``. Default is ``0.0``.
          origin (scalar or tuple of scalar): The origin parameter controls the
              placement of the filter, relative to the center of the current
              element of the input. Default of 0 is equivalent to
              ``(0,)*input.ndim``.
  
      Returns:
          cupy.ndarray: The result of greyscale closing.
  
      .. seealso:: :func:`scipy.ndimage.grey_closing`
      """
      if (size is not None) and (footprint is not None):
          warnings.warn(
              "ignoring size because footprint is set",
              UserWarning,
              stacklevel=2,
          )
      tmp = grey_dilation(
          input, size, footprint, structure, None, mode, cval, origin
      )
      return grey_erosion(
          tmp, size, footprint, structure, output, mode, cval, origin
      )
  
imports: import operator
  import warnings
  import numpy
  import cupy
  from cupy import _core
  from cupyx.scipy.ndimage import _filters_core
  from cupyx.scipy.ndimage import _util
  from cupyx.scipy.ndimage import _filters
label_desc: Use image node_id 15 for calling a global function with example usage: grey_closing(input, size, footprint, structure, output, mode, cval, origin) and returns: grey_erosion