TuckerTensorTrain.reverse
=========================

.. py:method:: t3toolbox.tucker_tensor_train.TuckerTensorTrain.reverse()

   .. code-block:: python

      def reverse(self) -> 'TuckerTensorTrain':


   Reverse Tucker tensor train.

   :returns: Tucker tensor train with index order reversed.
             ``shape=(N(d-1), ..., N0)``,
             ``tucker_ranks=(n(d-1),...,n0)``,
             ``tt_ranks=(1,r(d-1),...,r1,1)``.
   :rtype: TuckerTensorTrain

   .. rubric:: Examples

   >>> import numpy as np
   >>> import t3toolbox.tucker_tensor_train as t3
   >>> np.random.seed(0)
   >>> randn = np.random.randn
   >>> tucker_cores = (randn(2,3, 4,10), randn(2,3, 5,11), randn(2,3, 6,12))
   >>> tt_cores = (randn(2,3, 1,4,2), randn(2,3, 2,5,3), randn(2,3, 3,6,4))
   >>> x = t3.TuckerTensorTrain(tucker_cores, tt_cores)
   >>> print(x.structure)
   ((10, 11, 12), (4, 5, 6), (1, 2, 3, 4), (2, 3))
   >>> reversed_x = x.reverse()
   >>> print(reversed_x.structure)             # shape, Tucker and TT ranks all reversed
   ((12, 11, 10), (6, 5, 4), (4, 3, 2, 1), (2, 3))
   >>> x_dense = x.to_dense()
   >>> reversed_x_dense = reversed_x.to_dense()
   >>> x_dense2 = reversed_x_dense.transpose([0,1, 4,3,2])   # un-reverse the free axes
   >>> print(np.allclose(x_dense, x_dense2))
   True