uniform_sampling_kind
=====================

.. py:function:: t3toolbox.backend.uniform_fitting.uniform_sampling_kind(name, x0_data, weight = None)

   .. code-block:: python

      def uniform_sampling_kind(
              name:     str,        # 'apply' / 'entries' / 'probe'
              x0_data:  typ.Tuple,  # UniformTuckerTensorTrain.data at the fixed rank
              weight:   typ.Optional[typ.Any] = None,  # per-mode weight ω (probe only); apply/entries take none
      ) -> bfit.SamplingKind:


   Dispatch to the uniform :py:func:`uniform_apply_kind` / ``entries`` / ``probe`` by name. Only the
   vector-valued **probe** kind is weightable (per-mode ``ω``); plain apply/entries have no mode axis and
   take no weight (a non-``None`` ``weight`` for them is a structural error).