code: def mirror_footprint(footprint):
      """Mirror each dimension in the footprint.
  
      Parameters
      ----------
      footprint : ndarray or tuple
          The input footprint or sequence of footprints
  
      Returns
      -------
      inverted : ndarray or tuple
          The footprint, mirrored along each dimension.
  
      Examples
      --------
      >>> footprint = np.array([[0, 0, 0],
      ...                       [0, 1, 1],
      ...                       [0, 1, 1]], np.uint8)
      >>> mirror_footprint(footprint)
      array([[1, 1, 0],
             [1, 1, 0],
             [0, 0, 0]], dtype=uint8)
  
      """
      if _footprint_is_sequence(footprint):
          return tuple((mirror_footprint(fp), n) for fp, n in footprint)
      footprint = np.asarray(footprint)
      return footprint[(slice(None, None, -1),) * footprint.ndim]
  
imports: import os
  from collections.abc import Sequence
  from numbers import Integral
  import numpy
  from ..None import draw
  from skimage import morphology
label_desc: Use image node_id 19 for calling a global function with example usage: mirror_footprint(footprint) and returns: footprint, tuple