code: def _unpack_index(index):
      """Parse index. Always return a tuple of the form (row, col).
      Valid type for row/col is integer, slice, or array of integers.
  
      Returns:
            resulting row & col indices : single integer, slice, or
            array of integers. If row & column indices are supplied
            explicitly, they are used as the major/minor indices.
            If only one index is supplied, the minor index is
            assumed to be all (e.g., [maj, :]).
      """
      # First, check if indexing with single boolean matrix.
      if (
          (
              isinstance(index, (spmatrix, cupy.ndarray, numpy.ndarray))
              or _try_is_scipy_spmatrix(index)
          )
          and index.ndim == 2
          and index.dtype.kind == "b"
      ):
          return index.nonzero()
  
      # Parse any ellipses.
      index = _eliminate_ellipsis(index)
  
      # Next, parse the tuple or object
      if isinstance(index, tuple):
          if len(index) == 2:
              row, col = index
          elif len(index) == 1:
              row, col = index[0], slice(None)
          else:
              raise IndexError("invalid number of indices")
      else:
          idx = _compatible_boolean_index(index)
          if idx is None:
              row, col = index, slice(None)
          elif idx.ndim < 2:
              return _boolean_index_to_array(idx), slice(None)
          elif idx.ndim == 2:
              return idx.nonzero()
      # Next, check for validity and transform the index as needed.
      if isspmatrix(row) or isspmatrix(col):
          # Supporting sparse boolean indexing with both row and col does
          # not work because spmatrix.ndim is always 2.
          raise IndexError(
              "Indexing with sparse matrices is not supported "
              "except boolean indexing where matrix and index "
              "are equal shapes."
          )
      bool_row = _compatible_boolean_index(row)
      bool_col = _compatible_boolean_index(col)
      if bool_row is not None:
          row = _boolean_index_to_array(bool_row)
      if bool_col is not None:
          col = _boolean_index_to_array(bool_col)
      return row, col
  
imports: import cupy
  from cupy import _core
  from cupyx.scipy.sparse._base import isspmatrix
  from cupyx.scipy.sparse._base import spmatrix
  from cupy.cuda import device
  from cupy.cuda import runtime
  import numpy
label_desc: Use image node_id 8 for calling a global function with example usage: _unpack_index(index) and returns: row,  col, index, _boolean_index_to_array,  slice, idx