code: def randn(self):
      # These arbitrary vectors are not analogous to randn in any meaningful way
      N = npr.randint(1, 3)
      return RKHSFun(self.kernel, dict(zip(npr.randn(N), npr.randn(N))))
  
imports: from __future__ import print_function
  import autograd.numpy
  import autograd.numpy.random
  from autograd.extend import primitive, defvjp, defjvp, VSpace, Box
  from autograd.util import func
  from autograd import grad
label_desc: Use image node_id 3 for calling the RKHSFunVSpace obj's underlying member method code with example usage: obj.randn() and returns: RKHSFun