code: def unflatten_tracing():
      val = [
          npr.randn(4),
          [npr.randn(3, 4), 2.5],
          (),
          (2.0, [1.0, npr.randn(2)]),
      ]
      vect, unflatten = flatten(val)
  
      def f(vect):
          return unflatten(vect)
  
      flatten2, _ = make_vjp(f)(vect)
      assert np.all(vect == flatten2(val))
  
file_path: autograd/tests/test_misc.py
imports: import autograd.numpy
  import autograd.numpy.random
  from autograd.test_util import scalar_close
  from autograd import make_vjp, grad
  from autograd.tracer import primitive
  from autograd.misc import const_graph, flatten
label_desc: Use image node_id 6 for calling a global function with example usage: unflatten_tracing() and returns: unflatten