ut3_probe
=========

.. py:function:: t3toolbox.backend.ut3_sampling.ut3_probe(ww, data)

   .. code-block:: python

      def ut3_probe(
              ww:   typ.Sequence[NDArray],  # len=d, ith elm_shape=W+(Ni,)
              data: UT3Data,
      ) -> typ.Union[typ.Tuple[NDArray, ...], NDArray]:  # MIRRORS ww: ragged -> len=d tuple; packed -> (d,)+W+(N,)


   Probe a uniform Tucker tensor train (contract all-but-one mode, for each mode; shares
   ``probing.t3_probe``). **Mirrors** ``ww``'s packedness: a ragged ``ww`` returns a ``len=d`` tuple sliced
   back to real widths; a packed ``ww`` returns the packed ``(d,)+W+(N,)`` array (zero-padded prefix).