code: def grad_np_cumsum(ans, x, axis=None):
      def vjp(g):
          if axis:
              return reverse_axis(
                  anp.cumsum(reverse_axis(g, axis), axis), axis
              )
          else:
              return anp.reshape(
                  anp.cumsum(g[::-1], axis)[::-1], x.shape
              )
  
      return vjp
  
imports: from __future__ import absolute_import
  from six import string_types
  from functools import partial
  import numpy
  from ..util import func
  from .None import numpy_wrapper
  from .numpy_boxes import ArrayBox
  from autograd.extend import primitive, vspace, defvjp, defvjp_argnum, SparseObject, VJPNode, register_notrace
label_desc: Use image node_id 17 for calling a global function with example usage: grad_np_cumsum(ans, x, axis) and returns: vjp, reverse_axis, anp