class_docstr: This class provides common dispatching and validation logic for indexing.
code: def _parse_indices(self, key):
      M, N = self.shape
      row, col = _unpack_index(key)
  
      if self._is_scalar(row):
          row = row.item()
      if self._is_scalar(col):
          col = col.item()
  
      # Scipy calls sputils.isintlike() rather than
      # isinstance(x, _int_scalar_types). Comparing directly to int
      # here to minimize the impact of nested exception catching
  
      if isinstance(row, _int_scalar_types):
          row = _normalize_index(row, M, "row")
      elif not isinstance(row, slice):
          row = self._asindices(row, M)
  
      if isinstance(col, _int_scalar_types):
          col = _normalize_index(col, N, "column")
      elif not isinstance(col, slice):
          col = self._asindices(col, N)
  
      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 4 for calling the IndexMixin obj's underlying member method code with example usage: obj._parse_indices(key) and returns: row,  col