compute_nu_jets
===============

.. py:function:: t3toolbox.backend.sampling_derivatives.compute_nu_jets(tt_cores, xi_jets, trs)

   .. code-block:: python

      def compute_nu_jets(
              tt_cores:   typ.Sequence[NDArray],  # len=d, elm_shape=C+(rLi,nUi,rR(i+1))
              xi_jets:    typ.Sequence[NDArray],  # input jets,  len=d, elm_shape=(2,)+W+C+(nUi,)
              trs:        NDArray,                # binomial tensor -- only its shape (order) is read here
      ) -> typ.Tuple[NDArray, ...]:               # nu_jets. len=d, elm_shape=(order+1,)+W+C+(rR(i+1),). nu_jets[i][t]=nu_i^(t)


   Right derivative-pushthrough jets (standard recurrence form).

   The mirror image of :py:func:`compute_mu_jets`: reverse the tensor train (``tt_reverse`` swaps
   bonds and core order), run the left banded-recurrence sweep, reverse the result. ``nu_jets[i]`` is
   the right edge variable entering core ``i`` (``nu_i``), stacked over derivative orders. Equal to the
   dense :py:func:`compute_nu_jets_trs` to tolerance; see it for the binomial-tensor reference form.