utv_apply_jacobian_derivatives_from_sweep
=========================================

.. py:function:: t3toolbox.backend.utv_sampling.utv_apply_jacobian_derivatives_from_sweep(variations_data, frame_sweep, order)

   .. code-block:: python

      def utv_apply_jacobian_derivatives_from_sweep(
              variations_data,  # UT3Variations .data; stack = K + C
              frame_sweep,       # = utv_precompute_apply_frame_sweep_jets(...)
              order,            # highest derivative order
      ):  # -> scalar jets, shape=(order+1,)+W+K+C


   Forward apply-derivatives of a uniform tangent reusing the jet sweep (the bare ``𝒥``): mask-once the
   variation, share :py:func:`sampling_derivatives.tv_apply_jacobian_derivatives_from_sweep`.