code: def _parse_indices(self, indices):
          r
          if indices is None:
              indices = sp.array([], ndmin=1, dtype=int)
          locs = sp.array(indices, ndmin=1)
          # If boolean array, convert to indices
          if locs.dtype == bool:
              if sp.size(locs) == self.Np:
                  locs = self.Ps[locs]
              elif sp.size(locs) == self.Nt:
                  locs = self.Ts[locs]
              else:
                  raise Exception('Mask of locations must be either ' +
                                  'Np nor Nt long')
          locs = locs.astype(dtype=int)
          return locs
docs: r"""
          This private method accepts a list of pores or throats and returns a
          properly structured Numpy array of indices.
  
          Parameters
          ----------
          indices : multiple options
              This argument can accept numerous different data types including
              boolean masks, integers and arrays.
  
          Returns
          -------
          A Numpy array of indices.
  
          Notes
          -----
          This method should only be called by the method that is actually using
          the locations, to avoid calling it multiple times.