code: def iterate_structure(structure, iterations, origin=None):
      """Iterate a structure by dilating it with itself.
  
      Args:
          structure(array_like): Structuring element (an array of bools,
              for example), to be dilated with itself.
          iterations(int): The number of dilations performed on the structure
              with itself.
          origin(int or tuple of int, optional): If origin is None, only the
              iterated structure is returned. If not, a tuple of the iterated
              structure and the modified origin is returned.
  
      Returns:
          cupy.ndarray: A new structuring element obtained by dilating
          ``structure`` (``iterations`` - 1) times with itself.
  
      .. seealso:: :func:`scipy.ndimage.iterate_structure`
      """
      if iterations < 2:
          return structure.copy()
      ni = iterations - 1
      shape = [ii + ni * (ii - 1) for ii in structure.shape]
      pos = [
          ni * (structure.shape[ii] // 2) for ii in range(len(shape))
      ]
      slc = tuple(
          slice(pos[ii], pos[ii] + structure.shape[ii], None)
          for ii in range(len(shape))
      )
      out = cupy.zeros(shape, bool)
      out[slc] = structure != 0
      out = binary_dilation(out, structure, iterations=ni)
      if origin is None:
          return out
      else:
          origin = _util._fix_sequence_arg(
              origin, structure.ndim, "origin", int
          )
          origin = [iterations * o for o in origin]
          return out, 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 3 for calling a global function with example usage: iterate_structure(structure, iterations, origin) and returns: structure, out, out,  origin