compute_mu_jets_trs
===================

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

   .. code-block:: python

      def compute_mu_jets_trs(
              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, shape=(order+1,order+1,order+1)
      ) -> typ.Tuple[NDArray, ...]:               # mu_jets. len=d, elm_shape=(order+1,)+W+C+(rLi,). mu_jets[i][t]=mu_{i-1}^(t)


   Left derivative-pushthrough jets.

   Sweep left-to-right, at each core taking the binomial jet-product of the running left jet with the
   input jet through the core (``'trs,rWCa,Caib,sWCi->tWCb'``). Like :py:func:`probing.compute_mu`,
   ``mu_jets[i]`` is the left edge variable *entering* core ``i`` (``mu_{i-1}``), stacked over orders.