code: def get_diagonal_subtensor_view(x, i0, i1):
      """
      Helper function for DiagonalSubtensor and IncDiagonalSubtensor.
  
      Notes
      -----
      It returns a partial view of x, not a partial copy.
  
      """
      # We have to cast i0 and i0 to int because python
      # do not support indexing with 0-dim, 'int*' ndarrays.
      i0 = int(i0)
      i1 = int(i1)
      if x.shape[i0] < x.shape[i1]:
          raise NotImplementedError("is this allowed?")
      idx = [slice(None)] * x.ndim
      idx[i0] = slice(x.shape[i1] - 1, None, None)
      xview = x.__getitem__(tuple(idx))
      strides = list(xview.strides)
      if x.shape[i1] != 1:
          strides[i1] -= strides[i0]
          xview.strides = strides
      return xview
  
imports: from __future__ import absolute_import, print_function, division
  import theano
  from theano.gradient import DisconnectedType
  from theano.gof import Op, Apply, TopoOptimizer
  from theano.gof.opt import copy_stack_trace
  from theano import tensor
label_desc: Use image node_id 1 for calling a global function with example usage: get_diagonal_subtensor_view(x, i0, i1) and returns: xview