T3Frame.to_t3
=============

.. py:method:: t3toolbox.frame_variations_format.T3Frame.to_t3()

   .. code-block:: python

      def to_t3(self) -> 't3.TuckerTensorTrain':


   The base point this frame represents, as a :py:class:`TuckerTensorTrain` (natural ranks).

   Reconstructed in right-canonical form (the Tucker factors over the right-orthogonal core-TT).
   For a **consistent** frame (e.g. from :py:func:`t3_orthogonal_representations`) this is the base
   point and equals the left-canonical reconstruction; for a hand-built inconsistent frame it is
   specifically this form. No consistency check is performed (verifying it would mean densifying
   multiple reconstructions -- the kind of expensive check the library avoids).