assemble_tucker_variation_jets_trs
==================================

.. py:function:: t3toolbox.backend.sampling_derivatives.assemble_tucker_variation_jets_trs(ztildes, dxi_tildes, ww, pp, etas, n_probe, sum_over_probes)

   .. code-block:: python

      def assemble_tucker_variation_jets_trs(
              ztildes:        typ.Sequence[NDArray],  # residual jets, len=d, elm_shape=(order+1,)+W+K+C+(Ni,)
              dxi_tildes:     typ.Sequence[NDArray],  # adjoint-var-down jets, len=d, elm_shape=(order+1,)+W+K+C+(nOi,)
              ww:             typ.Sequence[NDArray],  # probe vectors X,        len=d, elm_shape=W+(Ni,)
              pp:             typ.Sequence[NDArray],  # perturbation vectors P, len=d, elm_shape=W+(Ni,)
              etas:           typ.Sequence[NDArray],  # frame down jets, len=d, elm_shape=(order+1,)+W+C+(nOi,)
              n_probe:        int,                    # number of sample-stack (W) axes
              sum_over_probes: bool,
      ) -> typ.Tuple[NDArray, ...]:                   # dU_tildes. len=d, elm_shape=[W+]C+(nOi,Ni)


   Assemble Tucker-core variation gradients (the 1-edge, plain-order-sum case):
   ``dU_tilde = sum_t eta^(t) (x) r^(t) + sum_u dxi_tilde^(u) (x) w_jet^(u)``.