code: def binary_hit_or_miss(
      input,
      structure1=None,
      structure2=None,
      output=None,
      origin1=0,
      origin2=None,
  ):
      """
      Multidimensional binary hit-or-miss transform.
  
      The hit-or-miss transform finds the locations of a given pattern
      inside the input image.
  
      Args:
          input (cupy.ndarray): Binary image where a pattern is to be detected.
          structure1 (cupy.ndarray, optional): Part of the structuring element to
              be fitted to the foreground (non-zero elements) of ``input``. If no
              value is provided, a structure of square connectivity 1 is chosen.
          structure2 (cupy.ndarray, optional): Second part of the structuring
              element that has to miss completely the foreground. If no value is
              provided, the complementary of ``structure1`` is taken.
          output (cupy.ndarray, dtype or None, optional): Array of the same shape
              as input, into which the output is placed. By default, a new array
              is created.
          origin1 (int or tuple of ints, optional): Placement of the first part
              of the structuring element ``structure1``, by default 0 for a
              centered structure.
          origin2 (int or tuple of ints or None, optional): Placement of the
              second part of the structuring element ``structure2``, by default 0
              for a centered structure. If a value is provided for ``origin1``
              and not for ``origin2``, then ``origin2`` is set to ``origin1``.
  
      Returns:
          cupy.ndarray: Hit-or-miss transform of ``input`` with the given
          structuring element (``structure1``, ``structure2``).
  
      .. warning::
  
          This function may synchronize the device.
  
      .. seealso:: :func:`scipy.ndimage.binary_hit_or_miss`
      """
      if structure1 is None:
          structure1 = generate_binary_structure(input.ndim, 1)
      if structure2 is None:
          structure2 = cupy.logical_not(structure1)
      origin1 = _util._fix_sequence_arg(
          origin1, input.ndim, "origin1", int
      )
      if origin2 is None:
          origin2 = origin1
      else:
          origin2 = _util._fix_sequence_arg(
              origin2, input.ndim, "origin2", int
          )
  
      tmp1 = _binary_erosion(
          input, structure1, 1, None, None, 0, origin1, 0, False
      )
      inplace = isinstance(output, cupy.ndarray)
      result = _binary_erosion(
          input, structure2, 1, None, output, 0, origin2, 1, False
      )
      if inplace:
          cupy.logical_not(output, output)
          cupy.logical_and(tmp1, output, output)
      else:
          cupy.logical_not(result, result)
          return cupy.logical_and(tmp1, result)
  
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 10 for calling a global function with example usage: binary_hit_or_miss(input, structure1, structure2, output, origin1, origin2) and returns: cupy