tv_precompute_probe_frame_sweep_jets
====================================

.. py:function:: t3toolbox.backend.sampling_derivatives.tv_precompute_probe_frame_sweep_jets(frame, ww, pp, order)

   .. code-block:: python

      def tv_precompute_probe_frame_sweep_jets(
              frame:   typ.Tuple[
                  typ.Sequence[NDArray], typ.Sequence[NDArray],
                  typ.Sequence[NDArray], typ.Sequence[NDArray],
              ],                                      # = T3Frame.data = (U, O, P, Q)
              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,)
              order:  int,                            # highest derivative order
      ) -> typ.Tuple[
          typ.Sequence[NDArray],  # xi_jets.  len=d, elm_shape=(2,)+W+C+(nUi,)
          typ.Sequence[NDArray],  # mu_jets.  len=d, elm_shape=(order+1,)+W+C+(rLi,)
          typ.Sequence[NDArray],  # nu_jets.  len=d, elm_shape=(order+1,)+W+C+(rR(i+1),)
          typ.Sequence[NDArray],  # eta_jets. len=d, elm_shape=(order+1,)+W+C+(nOi,)
      ]:                                              # full frame sweep -- (xi, mu, nu, eta)


   The **probe**-derivative frame sweep (full): the jet-ified twin of
   :py:func:`t3toolbox.backend.probing.tv_precompute_probe_frame_sweep`. The probe leaves one mode free, so it
   needs all four frame edge-variable jets ``(xi, mu, nu, eta)`` (the right ``nu`` sweep + central
   ``eta`` combine). Reused across the forward / transpose of an inner solve.